diff --git a/packages/uipath-openai-agents/pyproject.toml b/packages/uipath-openai-agents/pyproject.toml index c548a02e..85087b72 100644 --- a/packages/uipath-openai-agents/pyproject.toml +++ b/packages/uipath-openai-agents/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "uipath-openai-agents" -version = "0.0.7" +version = "0.0.8" description = "Python SDK that enables developers to build and deploy OpenAI agents to the UiPath Cloud Platform" readme = "README.md" requires-python = ">=3.11" @@ -10,7 +10,7 @@ dependencies = [ "openai-agents>=0.6.5", "openinference-instrumentation-openai-agents>=1.4.0", "uipath>=2.8.18, <2.9.0", - "uipath-runtime>=0.8.0, <0.9.0", + "uipath-runtime>=0.9.0, <0.10.0", ] classifiers = [ "Intended Audience :: Developers", diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/CLI_REFERENCE.md b/packages/uipath-openai-agents/samples/agent-as-tools/.agent/CLI_REFERENCE.md deleted file mode 100644 index 065b31a7..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/CLI_REFERENCE.md +++ /dev/null @@ -1,618 +0,0 @@ -## CLI Commands Reference - -The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/REQUIRED_STRUCTURE.md b/packages/uipath-openai-agents/samples/agent-as-tools/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51b..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/SDK_REFERENCE.md b/packages/uipath-openai-agents/samples/agent-as-tools/.agent/SDK_REFERENCE.md deleted file mode 100644 index a5e2e39f..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,698 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index_async(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/eval.md b/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/eval.md deleted file mode 100644 index 15fa04f7..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/eval.md +++ /dev/null @@ -1,287 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create and run agent evaluations ---- - -I'll help you create and run evaluations for your UiPath agent. - -## Step 1: Check project setup - -Let me check your project structure: - -!ls -la evaluations/ entry-points.json 2>/dev/null || echo "NEEDS_SETUP" - -# Check if schemas might be stale (main.py newer than entry-points.json) -!if [ -f main.py ] && [ -f entry-points.json ] && [ main.py -nt entry-points.json ]; then echo "SCHEMAS_MAY_BE_STALE"; fi - -### If NEEDS_SETUP - -If `entry-points.json` doesn't exist, initialize the project first: - -!uv run uipath init - -Then re-run this skill. - -### If SCHEMAS_MAY_BE_STALE - -Your `main.py` is newer than `entry-points.json`. Refresh schemas: - -!uv run uipath init --no-agents-md-override - -## Step 2: What would you like to do? - -1. **Create new eval set** - Set up evaluations from scratch -2. **Add test case** - Add a test to existing eval set -3. **Run evaluations** - Execute tests and see results -4. **Analyze failures** - Debug failing tests - ---- - -## Creating an Eval Set - -First, create the directory structure: - -!mkdir -p evaluations/eval-sets evaluations/evaluators - -Read the agent's Input/Output schema from entry-points.json to understand the data types. - -### Evaluator Selection Guide - -| If your output is... | Use this evaluator | evaluatorTypeId | -|---------------------|-------------------|-----------------| -| Exact string/number | `ExactMatchEvaluator` | `uipath-exact-match` | -| Contains key phrases | `ContainsEvaluator` | `uipath-contains` | -| Semantically correct | `LLMJudgeOutputEvaluator` | `uipath-llm-judge-output-semantic-similarity` | -| JSON with numbers | `JsonSimilarityEvaluator` | `uipath-json-similarity` | - -### Step 1: Create Evaluator Config Files - -**Each evaluator needs a JSON config file** in `evaluations/evaluators/`. - -**ExactMatchEvaluator** (`evaluations/evaluators/exact-match.json`): -```json -{ - "version": "1.0", - "id": "ExactMatchEvaluator", - "name": "ExactMatchEvaluator", - "description": "Checks for exact output match", - "evaluatorTypeId": "uipath-exact-match", - "evaluatorConfig": { - "name": "ExactMatchEvaluator", - "targetOutputKey": "*" - } -} -``` - -**LLMJudgeOutputEvaluator** (`evaluations/evaluators/llm-judge-output.json`): -```json -{ - "version": "1.0", - "id": "LLMJudgeOutputEvaluator", - "name": "LLMJudgeOutputEvaluator", - "description": "Uses LLM to judge semantic similarity", - "evaluatorTypeId": "uipath-llm-judge-output-semantic-similarity", - "evaluatorConfig": { - "name": "LLMJudgeOutputEvaluator", - "model": "gpt-4o-mini-2024-07-18" - } -} -``` - -**JsonSimilarityEvaluator** (`evaluations/evaluators/json-similarity.json`): -```json -{ - "version": "1.0", - "id": "JsonSimilarityEvaluator", - "name": "JsonSimilarityEvaluator", - "description": "Compares JSON structures", - "evaluatorTypeId": "uipath-json-similarity", - "evaluatorConfig": { - "name": "JsonSimilarityEvaluator", - "targetOutputKey": "*" - } -} -``` - -**ContainsEvaluator** (`evaluations/evaluators/contains.json`): -```json -{ - "version": "1.0", - "id": "ContainsEvaluator", - "name": "ContainsEvaluator", - "description": "Checks if output contains text", - "evaluatorTypeId": "uipath-contains", - "evaluatorConfig": { - "name": "ContainsEvaluator" - } -} -``` - -### Step 2: Create Eval Set - -**Eval Set Template** (`evaluations/eval-sets/default.json`): -```json -{ - "version": "1.0", - "id": "default-eval-set", - "name": "Default Evaluation Set", - "evaluatorRefs": ["ExactMatchEvaluator"], - "evaluations": [ - { - "id": "test-1", - "name": "Test description", - "inputs": { - "field": "value" - }, - "evaluationCriterias": { - "ExactMatchEvaluator": { - "expectedOutput": { - "result": "expected value" - } - } - } - } - ] -} -``` - -**Important notes:** -- `evaluatorRefs` must list ALL evaluators used in any test case -- Each evaluator in `evaluatorRefs` needs a matching JSON config in `evaluations/evaluators/` -- `evaluationCriterias` keys must match entries in `evaluatorRefs` -- Use `expectedOutput` for most evaluators -- LLM evaluators need `model` in their config. Available models are defined in the SDK's `ChatModels` class (`uipath.platform.chat.ChatModels`): - - `gpt-4o-mini-2024-07-18` (recommended for cost-efficiency) - - `gpt-4o-2024-08-06` (higher quality, higher cost) - - `o3-mini-2025-01-31` (latest reasoning model) - - Model availability varies by region and tenant configuration - - Check your UiPath Automation Cloud portal under AI Trust Layer for available models in your region - ---- - -## Adding a Test Case - -When adding a test to an existing eval set: - -1. Read the existing eval set -2. Check which evaluators are in `evaluatorRefs` -3. Add the new test to `evaluations` array -4. If using a new evaluator, add it to `evaluatorRefs` - -### Test Case Template - -```json -{ - "id": "test-{n}", - "name": "Description of what this tests", - "inputs": { }, - "evaluationCriterias": { - "EvaluatorName": { - "expectedOutput": { } - } - } -} -``` - ---- - -## Running Evaluations - -First, read entry-points.json to get the entrypoint name (e.g., `main`): - -!uv run uipath eval main evaluations/eval-sets/default.json --output-file eval-results.json - -**Note:** Replace `main` with your actual entrypoint from entry-points.json. - -### Analyze Results - -After running, read `eval-results.json` and show: -- Pass/fail summary table -- For failures: expected vs actual output -- Suggestions for fixing or changing evaluators - -### Results Format - -```json -{ - "evaluationSetResults": [{ - "evaluationRunResults": [ - { - "evaluationId": "test-1", - "evaluatorId": "ExactMatchEvaluator", - "result": { "score": 1.0 }, - "errorMessage": null - } - ] - }] -} -``` - -- Score 1.0 = PASS -- Score < 1.0 = FAIL (show expected vs actual) -- errorMessage present = ERROR (show message) - ---- - -## Evaluator Reference - -### Deterministic Evaluators - -**ExactMatchEvaluator** - Exact output matching -```json -"ExactMatchEvaluator": { - "expectedOutput": { "result": "exact value" } -} -``` - -**ContainsEvaluator** - Output contains substring -```json -"ContainsEvaluator": { - "searchText": "must contain this" -} -``` - -**JsonSimilarityEvaluator** - JSON comparison with tolerance -```json -"JsonSimilarityEvaluator": { - "expectedOutput": { "value": 10.0 } -} -``` - -### LLM-Based Evaluators - -**LLMJudgeOutputEvaluator** - Semantic correctness -```json -"LLMJudgeOutputEvaluator": { - "expectedOutput": { "summary": "Expected semantic meaning" } -} -``` - -**LLMJudgeTrajectoryEvaluator** - Validate agent reasoning -```json -"LLMJudgeTrajectoryEvaluator": { - "expectedAgentBehavior": "The agent should first fetch data, then process it" -} -``` - ---- - -## Common Issues - -### "No evaluations found" -- Check `evaluations/eval-sets/` directory exists -- Verify JSON file is valid - -### Evaluator not found -- Each evaluator needs a JSON config file in `evaluations/evaluators/` -- Config file must have correct `evaluatorTypeId` (see templates above) -- Config file must have `name` field at root level -- LLM evaluators need `model` in `evaluatorConfig` - -### Evaluator skipped -- Ensure evaluator is listed in root `evaluatorRefs` array -- Check evaluator config file exists in `evaluations/evaluators/` - -### Schema mismatch -- Run `uv run uipath init --no-agents-md-override` to refresh schemas -- Check `entry-points.json` matches your Input/Output models diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/new-agent.md b/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/new-agent.md deleted file mode 100644 index b1d05186..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/.claude/commands/new-agent.md +++ /dev/null @@ -1,103 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create a new UiPath coded agent from a description ---- - -I'll help you create a new UiPath coded agent. - -## Step 1: Check existing project - -Let me check if this is an existing UiPath project: - -!ls uipath.json main.py 2>/dev/null || echo "NEW_PROJECT" - -## Step 2: Gather requirements - -**What should this agent do?** - -Please describe: - -- What inputs it needs (e.g., "a file path and bucket name") -- What it should accomplish (e.g., "process CSV data") -- What outputs it should return (e.g., "total count and status") - -I'll generate the agent structure based on your description. - -## Step 3: Generate agent - -After you describe the agent, I will: - -1. Create `main.py` with Input/Output Pydantic models and `async def main()` -2. Add entrypoint to `uipath.json` under `"functions": {"agent_name": "main.py:main"}` -3. Run `uv run uipath init --no-agents-md-override` to generate schemas - -**Template structure** (from .agent/REQUIRED_STRUCTURE.md): - -```python -from pydantic import BaseModel -from uipath.platform import UiPath - -class Input(BaseModel): - """Input fields for the agent.""" - # Fields based on your description - pass - - -class Output(BaseModel): - """Output fields returned by the agent.""" - # Fields based on your description - pass - - -async def main(input: Input) -> Output: - """Main entry point for the agent. - - Args: - input: The input data for the agent. - - Returns: - The output data from the agent. - """ - - uipath = UiPath() - - # TODO: Implement agent logic - return Output() -``` - -**Important notes:** - -- Use `async def main` - many SDK methods are async -- Initialize `UiPath()` inside the function, not at module level -- After creating main.py, add entrypoint to `uipath.json` under `"functions"` - -## Step 4: Update entry-point schemas - -After creating main.py, regenerate the schemas: - -!uv run uipath init --no-agents-md-override - -## Step 5: Verify - -Quick test to verify the setup: - -!uv run uipath run main '{}' 2>&1 | head -30 - -## Summary - -Once complete, you'll have: - -| File | Purpose | -| ------------------- | ----------------------------------- | -| `main.py` | Agent code with Input/Output models | -| `uipath.json` | Project configuration | -| `entry-points.json` | Entry point schemas | -| `bindings.json` | Resource bindings | -| `.agent/` | SDK and CLI reference docs | - -**Next steps:** - -1. Implement your logic in `main()` -2. Test: `uv run uipath run main '{"field": "value"}'` -3. Create `eval_set.json` for evaluations -4. Evaluate: `uv run uipath eval` diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/AGENTS.md b/packages/uipath-openai-agents/samples/agent-as-tools/AGENTS.md deleted file mode 100644 index b83142f0..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/CLAUDE.md b/packages/uipath-openai-agents/samples/agent-as-tools/CLAUDE.md deleted file mode 100644 index eef4bd20..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/bindings.json b/packages/uipath-openai-agents/samples/agent-as-tools/bindings.json deleted file mode 100644 index 5dd5a0fd..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/entry-points.json b/packages/uipath-openai-agents/samples/agent-as-tools/entry-points.json deleted file mode 100644 index 1fd2eb89..00000000 --- a/packages/uipath-openai-agents/samples/agent-as-tools/entry-points.json +++ /dev/null @@ -1,141 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "c345930e-50b8-410a-b521-b9ddc3d4e78a", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "array", - "items": { - "type": "object" - } - } - ], - "title": "Messages", - "description": "User messages to send to the agent" - }, - "user_id": { - "default": "anonymous", - "description": "User identifier for logging", - "title": "User Id", - "type": "string" - }, - "preferred_formality": { - "default": "formal", - "description": "Translation formality level: 'formal' or 'informal'", - "title": "Preferred Formality", - "type": "string" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "original_text": { - "description": "The original English text", - "title": "Original Text", - "type": "string" - }, - "translations": { - "additionalProperties": { - "type": "string" - }, - "description": "Dictionary mapping language names to translated text", - "title": "Translations", - "type": "object" - }, - "languages_used": { - "description": "List of languages that were translated to", - "items": { - "type": "string" - }, - "title": "Languages Used", - "type": "array" - } - }, - "required": [ - "original_text", - "translations", - "languages_used" - ], - "title": "TranslationOutput", - "description": "Output model for the translation orchestrator." - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": null - }, - { - "id": "orchestrator_agent", - "name": "orchestrator_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "orchestrator_agent_tools", - "name": "tools", - "type": "tool", - "subgraph": null, - "metadata": { - "tool_names": [ - "get_translation_preferences", - "translate_to_spanish", - "translate_to_french", - "translate_to_italian" - ], - "tool_count": 4 - } - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": null - } - ], - "edges": [ - { - "source": "orchestrator_agent", - "target": "orchestrator_agent_tools", - "label": null - }, - { - "source": "orchestrator_agent_tools", - "target": "orchestrator_agent", - "label": null - }, - { - "source": "__start__", - "target": "orchestrator_agent", - "label": "input" - }, - { - "source": "orchestrator_agent", - "target": "__end__", - "label": "output" - } - ] - } - } - ] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/agent-as-tools/pyproject.toml b/packages/uipath-openai-agents/samples/agent-as-tools/pyproject.toml index 73048297..1708bc0c 100644 --- a/packages/uipath-openai-agents/samples/agent-as-tools/pyproject.toml +++ b/packages/uipath-openai-agents/samples/agent-as-tools/pyproject.toml @@ -5,12 +5,12 @@ description = "Language routing agent example using OpenAI Agents" readme = "README.md" requires-python = ">=3.11" dependencies = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md b/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51b..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md b/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index 0b09b523..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,680 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, index_name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, index_name: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])], prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(action_title: str, action_priority: uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(action_title: str, action_priority: uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(action_title: str, action_priority: uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None) -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md deleted file mode 100644 index 15fa04f7..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/eval.md +++ /dev/null @@ -1,287 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create and run agent evaluations ---- - -I'll help you create and run evaluations for your UiPath agent. - -## Step 1: Check project setup - -Let me check your project structure: - -!ls -la evaluations/ entry-points.json 2>/dev/null || echo "NEEDS_SETUP" - -# Check if schemas might be stale (main.py newer than entry-points.json) -!if [ -f main.py ] && [ -f entry-points.json ] && [ main.py -nt entry-points.json ]; then echo "SCHEMAS_MAY_BE_STALE"; fi - -### If NEEDS_SETUP - -If `entry-points.json` doesn't exist, initialize the project first: - -!uv run uipath init - -Then re-run this skill. - -### If SCHEMAS_MAY_BE_STALE - -Your `main.py` is newer than `entry-points.json`. Refresh schemas: - -!uv run uipath init --no-agents-md-override - -## Step 2: What would you like to do? - -1. **Create new eval set** - Set up evaluations from scratch -2. **Add test case** - Add a test to existing eval set -3. **Run evaluations** - Execute tests and see results -4. **Analyze failures** - Debug failing tests - ---- - -## Creating an Eval Set - -First, create the directory structure: - -!mkdir -p evaluations/eval-sets evaluations/evaluators - -Read the agent's Input/Output schema from entry-points.json to understand the data types. - -### Evaluator Selection Guide - -| If your output is... | Use this evaluator | evaluatorTypeId | -|---------------------|-------------------|-----------------| -| Exact string/number | `ExactMatchEvaluator` | `uipath-exact-match` | -| Contains key phrases | `ContainsEvaluator` | `uipath-contains` | -| Semantically correct | `LLMJudgeOutputEvaluator` | `uipath-llm-judge-output-semantic-similarity` | -| JSON with numbers | `JsonSimilarityEvaluator` | `uipath-json-similarity` | - -### Step 1: Create Evaluator Config Files - -**Each evaluator needs a JSON config file** in `evaluations/evaluators/`. - -**ExactMatchEvaluator** (`evaluations/evaluators/exact-match.json`): -```json -{ - "version": "1.0", - "id": "ExactMatchEvaluator", - "name": "ExactMatchEvaluator", - "description": "Checks for exact output match", - "evaluatorTypeId": "uipath-exact-match", - "evaluatorConfig": { - "name": "ExactMatchEvaluator", - "targetOutputKey": "*" - } -} -``` - -**LLMJudgeOutputEvaluator** (`evaluations/evaluators/llm-judge-output.json`): -```json -{ - "version": "1.0", - "id": "LLMJudgeOutputEvaluator", - "name": "LLMJudgeOutputEvaluator", - "description": "Uses LLM to judge semantic similarity", - "evaluatorTypeId": "uipath-llm-judge-output-semantic-similarity", - "evaluatorConfig": { - "name": "LLMJudgeOutputEvaluator", - "model": "gpt-4o-mini-2024-07-18" - } -} -``` - -**JsonSimilarityEvaluator** (`evaluations/evaluators/json-similarity.json`): -```json -{ - "version": "1.0", - "id": "JsonSimilarityEvaluator", - "name": "JsonSimilarityEvaluator", - "description": "Compares JSON structures", - "evaluatorTypeId": "uipath-json-similarity", - "evaluatorConfig": { - "name": "JsonSimilarityEvaluator", - "targetOutputKey": "*" - } -} -``` - -**ContainsEvaluator** (`evaluations/evaluators/contains.json`): -```json -{ - "version": "1.0", - "id": "ContainsEvaluator", - "name": "ContainsEvaluator", - "description": "Checks if output contains text", - "evaluatorTypeId": "uipath-contains", - "evaluatorConfig": { - "name": "ContainsEvaluator" - } -} -``` - -### Step 2: Create Eval Set - -**Eval Set Template** (`evaluations/eval-sets/default.json`): -```json -{ - "version": "1.0", - "id": "default-eval-set", - "name": "Default Evaluation Set", - "evaluatorRefs": ["ExactMatchEvaluator"], - "evaluations": [ - { - "id": "test-1", - "name": "Test description", - "inputs": { - "field": "value" - }, - "evaluationCriterias": { - "ExactMatchEvaluator": { - "expectedOutput": { - "result": "expected value" - } - } - } - } - ] -} -``` - -**Important notes:** -- `evaluatorRefs` must list ALL evaluators used in any test case -- Each evaluator in `evaluatorRefs` needs a matching JSON config in `evaluations/evaluators/` -- `evaluationCriterias` keys must match entries in `evaluatorRefs` -- Use `expectedOutput` for most evaluators -- LLM evaluators need `model` in their config. Available models are defined in the SDK's `ChatModels` class (`uipath.platform.chat.ChatModels`): - - `gpt-4o-mini-2024-07-18` (recommended for cost-efficiency) - - `gpt-4o-2024-08-06` (higher quality, higher cost) - - `o3-mini-2025-01-31` (latest reasoning model) - - Model availability varies by region and tenant configuration - - Check your UiPath Automation Cloud portal under AI Trust Layer for available models in your region - ---- - -## Adding a Test Case - -When adding a test to an existing eval set: - -1. Read the existing eval set -2. Check which evaluators are in `evaluatorRefs` -3. Add the new test to `evaluations` array -4. If using a new evaluator, add it to `evaluatorRefs` - -### Test Case Template - -```json -{ - "id": "test-{n}", - "name": "Description of what this tests", - "inputs": { }, - "evaluationCriterias": { - "EvaluatorName": { - "expectedOutput": { } - } - } -} -``` - ---- - -## Running Evaluations - -First, read entry-points.json to get the entrypoint name (e.g., `main`): - -!uv run uipath eval main evaluations/eval-sets/default.json --output-file eval-results.json - -**Note:** Replace `main` with your actual entrypoint from entry-points.json. - -### Analyze Results - -After running, read `eval-results.json` and show: -- Pass/fail summary table -- For failures: expected vs actual output -- Suggestions for fixing or changing evaluators - -### Results Format - -```json -{ - "evaluationSetResults": [{ - "evaluationRunResults": [ - { - "evaluationId": "test-1", - "evaluatorId": "ExactMatchEvaluator", - "result": { "score": 1.0 }, - "errorMessage": null - } - ] - }] -} -``` - -- Score 1.0 = PASS -- Score < 1.0 = FAIL (show expected vs actual) -- errorMessage present = ERROR (show message) - ---- - -## Evaluator Reference - -### Deterministic Evaluators - -**ExactMatchEvaluator** - Exact output matching -```json -"ExactMatchEvaluator": { - "expectedOutput": { "result": "exact value" } -} -``` - -**ContainsEvaluator** - Output contains substring -```json -"ContainsEvaluator": { - "searchText": "must contain this" -} -``` - -**JsonSimilarityEvaluator** - JSON comparison with tolerance -```json -"JsonSimilarityEvaluator": { - "expectedOutput": { "value": 10.0 } -} -``` - -### LLM-Based Evaluators - -**LLMJudgeOutputEvaluator** - Semantic correctness -```json -"LLMJudgeOutputEvaluator": { - "expectedOutput": { "summary": "Expected semantic meaning" } -} -``` - -**LLMJudgeTrajectoryEvaluator** - Validate agent reasoning -```json -"LLMJudgeTrajectoryEvaluator": { - "expectedAgentBehavior": "The agent should first fetch data, then process it" -} -``` - ---- - -## Common Issues - -### "No evaluations found" -- Check `evaluations/eval-sets/` directory exists -- Verify JSON file is valid - -### Evaluator not found -- Each evaluator needs a JSON config file in `evaluations/evaluators/` -- Config file must have correct `evaluatorTypeId` (see templates above) -- Config file must have `name` field at root level -- LLM evaluators need `model` in `evaluatorConfig` - -### Evaluator skipped -- Ensure evaluator is listed in root `evaluatorRefs` array -- Check evaluator config file exists in `evaluations/evaluators/` - -### Schema mismatch -- Run `uv run uipath init --no-agents-md-override` to refresh schemas -- Check `entry-points.json` matches your Input/Output models diff --git a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md b/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md deleted file mode 100644 index b1d05186..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/.claude/commands/new-agent.md +++ /dev/null @@ -1,103 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create a new UiPath coded agent from a description ---- - -I'll help you create a new UiPath coded agent. - -## Step 1: Check existing project - -Let me check if this is an existing UiPath project: - -!ls uipath.json main.py 2>/dev/null || echo "NEW_PROJECT" - -## Step 2: Gather requirements - -**What should this agent do?** - -Please describe: - -- What inputs it needs (e.g., "a file path and bucket name") -- What it should accomplish (e.g., "process CSV data") -- What outputs it should return (e.g., "total count and status") - -I'll generate the agent structure based on your description. - -## Step 3: Generate agent - -After you describe the agent, I will: - -1. Create `main.py` with Input/Output Pydantic models and `async def main()` -2. Add entrypoint to `uipath.json` under `"functions": {"agent_name": "main.py:main"}` -3. Run `uv run uipath init --no-agents-md-override` to generate schemas - -**Template structure** (from .agent/REQUIRED_STRUCTURE.md): - -```python -from pydantic import BaseModel -from uipath.platform import UiPath - -class Input(BaseModel): - """Input fields for the agent.""" - # Fields based on your description - pass - - -class Output(BaseModel): - """Output fields returned by the agent.""" - # Fields based on your description - pass - - -async def main(input: Input) -> Output: - """Main entry point for the agent. - - Args: - input: The input data for the agent. - - Returns: - The output data from the agent. - """ - - uipath = UiPath() - - # TODO: Implement agent logic - return Output() -``` - -**Important notes:** - -- Use `async def main` - many SDK methods are async -- Initialize `UiPath()` inside the function, not at module level -- After creating main.py, add entrypoint to `uipath.json` under `"functions"` - -## Step 4: Update entry-point schemas - -After creating main.py, regenerate the schemas: - -!uv run uipath init --no-agents-md-override - -## Step 5: Verify - -Quick test to verify the setup: - -!uv run uipath run main '{}' 2>&1 | head -30 - -## Summary - -Once complete, you'll have: - -| File | Purpose | -| ------------------- | ----------------------------------- | -| `main.py` | Agent code with Input/Output models | -| `uipath.json` | Project configuration | -| `entry-points.json` | Entry point schemas | -| `bindings.json` | Resource bindings | -| `.agent/` | SDK and CLI reference docs | - -**Next steps:** - -1. Implement your logic in `main()` -2. Test: `uv run uipath run main '{"field": "value"}'` -3. Create `eval_set.json` for evaluations -4. Evaluate: `uv run uipath eval` diff --git a/packages/uipath-openai-agents/samples/company_agent/AGENTS.md b/packages/uipath-openai-agents/samples/company_agent/AGENTS.md deleted file mode 100644 index b83142f0..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md b/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md deleted file mode 100644 index eef4bd20..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md b/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md deleted file mode 100644 index cb42c19c..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/COMPANY_AGENTS_README.md +++ /dev/null @@ -1,192 +0,0 @@ -# Company Multi-Agent System with Handoff - -This is a multi-agent system that demonstrates the handoff pattern using UiPath OpenAI Agents. The system uses an orchestrator agent to route employee requests to specialized department agents. - -## Architecture - -### Agent Hierarchy - -``` -orchestrator_agent (Main Entry Point) - ├── hr_agent (Human Resources) - ├── procurement_agent (Purchasing & Orders) - └── policy_agent (Company Policies & Compliance) -``` - -### Flow Diagram - -See `agent.mermaid` for the visual flow diagram showing how requests are routed between agents. - -## Agents - -### 1. Orchestrator Agent -**Role:** Routes incoming requests to the appropriate department specialist - -**Routing Logic:** -- HR matters (benefits, leave, salary, PTO) → `hr_agent` -- Procurement matters (purchases, orders, budgets) → `procurement_agent` -- Policy matters (company policies, compliance) → `policy_agent` - -### 2. HR Agent -**Specialization:** Human Resources and Employee Services - -**Tools:** -- `check_employee_benefits(employee_id)` - View employee benefits -- `submit_leave_request(employee_id, leave_type, days)` - Submit PTO requests -- `get_salary_info(employee_id)` - Access salary information - -**Example Queries:** -- "I need to submit a leave request for 5 days" -- "What are my employee benefits?" -- "When is my next salary review?" - -### 3. Procurement Agent -**Specialization:** Purchasing and Budget Management - -**Tools:** -- `create_purchase_order(item, quantity, vendor)` - Create POs -- `check_budget_availability(department, amount)` - Verify budgets -- `track_order_status(po_number)` - Track shipments - -**Example Queries:** -- "I need to order 50 laptops from Dell" -- "Check if Engineering has budget for $10,000" -- "Track purchase order PO-2024-0050" - -### 4. Policy Agent -**Specialization:** Company Policies and Compliance - -**Tools:** -- `get_company_policy(policy_type)` - Retrieve policy information -- `check_compliance_status(policy_area)` - Check compliance status - -**Example Queries:** -- "What is the remote work policy?" -- "Show me the expense reimbursement policy" -- "Check compliance status for data security" - -## Testing - -### Test Files Included - -1. **HR Test:** `input_hr.json` - ```json - { - "message": "I need to submit a leave request for 5 days of vacation. My employee ID is EMP12345." - } - ``` - -2. **Procurement Test:** `input_procurement.json` - ```json - { - "message": "I need to order 50 laptops from Dell for the Engineering department." - } - ``` - -3. **Policy Test:** `input_policy.json` - ```json - { - "message": "What is the company's remote work policy?" - } - ``` - -### Running Tests - -```bash -# Test HR agent -uv run uipath run agent --input-file input_hr.json - -# Test Procurement agent -uv run uipath run agent --input-file input_procurement.json - -# Test Policy agent -uv run uipath run agent --input-file input_policy.json -``` - -## How It Works - -### Handoff Pattern - -The system uses the **handoffs** parameter in the Agent configuration: - -```python -orchestrator_agent = Agent( - name="orchestrator_agent", - instructions="Route requests to appropriate specialists...", - handoffs=[hr_agent, procurement_agent, policy_agent], -) -``` - -### Key Features - -1. **Automatic Routing:** The orchestrator analyzes the request and hands off to the right specialist -2. **Specialized Tools:** Each agent has domain-specific tools -3. **Context Preservation:** Conversation context is maintained during handoffs -4. **Return Flow:** Specialists return control to orchestrator after completion - -### Execution Flow - -1. User sends request → `orchestrator_agent` -2. Orchestrator analyzes request type -3. Orchestrator hands off to specialist (e.g., `hr_agent`) -4. Specialist uses its tools to fulfill request -5. Specialist returns result to orchestrator -6. Orchestrator delivers final response - -## Customization - -### Adding New Agents - -1. Create a new specialist agent with its tools: - ```python - finance_agent = Agent( - name="finance_agent", - instructions="Handle financial queries...", - tools=[your_finance_tools], - ) - ``` - -2. Add to orchestrator's handoffs: - ```python - orchestrator_agent = Agent( - handoffs=[hr_agent, procurement_agent, policy_agent, finance_agent], - ) - ``` - -3. Update orchestrator instructions to include routing logic - -### Adding New Tools - -1. Define a function tool: - ```python - @function_tool - async def your_tool(param: str) -> str: - """Tool description.""" - # Implementation - return result - ``` - -2. Add to the appropriate agent's tools list - -## Benefits of This Pattern - -- **Separation of Concerns:** Each agent handles one domain -- **Scalability:** Easy to add new departments/agents -- **Maintainability:** Tools and logic are isolated per domain -- **Flexibility:** Orchestrator can route based on complex logic -- **Testability:** Each agent can be tested independently - -## Production Considerations - -For production use, replace mock implementations with: -- Real database queries -- API integrations -- Authentication/authorization checks -- Audit logging -- Error handling and fallbacks - -## Related Documentation - -- See `@.agent/REQUIRED_STRUCTURE.md` for agent structure patterns -- See `@.agent/SDK_REFERENCE.md` for UiPath SDK methods -- See parent samples for other handoff patterns (triage-agent, message_filter) diff --git a/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md b/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md deleted file mode 100644 index f5961ea2..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/DETAILED_FEATURES.md +++ /dev/null @@ -1,370 +0,0 @@ -# Detailed Company Agent Features - -## Overview - -This is an enhanced multi-agent system with detailed tools for HR, Procurement, and Policy departments. Each agent has comprehensive functionality with realistic workflows and detailed responses. - ---- - -## HR Agent - Human Resources Specialist - -### Capabilities - -The HR agent handles all employee-related queries with 6 specialized tools: - -#### 1. **PTO Balance Checking** (`check_pto_balance`) -- Shows annual allowance (20 days) -- Displays days used and remaining -- Shows accrual rate (1.67 days/month) -- Provides carryover information (5-day max) - -**Example Output:** -``` -PTO Balance for Employee EMP12345: -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Annual Allowance: 20 days -Used to Date: 8 days -REMAINING BALANCE: 12 days -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Accrual Rate: 1.67 days/month -Next Accrual Date: 1st of next month -``` - -#### 2. **Leave Request Submission** (`submit_leave_request`) -- Generates unique request ID -- Starts approval workflow -- Provides expected timeline -- Shows manager information -- Returns detailed confirmation - -**Example Output:** -``` -✓ Leave Request Submitted Successfully! -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Request ID: LR-2024-45789 -Employee: EMP12345 -Leave Type: VACATION -Start Date: 2024-02-15 -End Date: 2024-02-20 -Total Days: 5 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Status: PENDING APPROVAL -Approver: Manager - Sarah Johnson -Expected Response: Within 2 business days -``` - -#### 3. **Leave Request Status Tracking** (`check_leave_request_status`) -- Track approval status -- See reviewer information -- Get last update timestamp - -#### 4. **Comprehensive Benefits Information** (`check_employee_benefits`) -Returns detailed breakdown of: -- Health & Wellness (Medical, Dental, Vision, Mental Health) -- Retirement (401k with 5% match) -- Time Off (PTO, Sick Leave, Holidays) -- Additional Benefits (Life Insurance, Professional Development, etc.) - -#### 5. **Salary & Compensation Details** (`get_salary_info`) -- Annual, monthly, and bi-weekly salary -- Compensation history -- Upcoming review dates -- Total compensation package value - -#### 6. **HR Meeting Scheduling** (`schedule_hr_meeting`) -- Schedule meetings with HR representatives -- Get meeting confirmation with Zoom links -- Specify topic and preferred date - -### HR Agent Workflow - -**For Leave Requests, the agent follows this process:** -1. Check PTO balance first -2. Show remaining days to employee -3. If sufficient balance, submit the request -4. Provide confirmation with request ID -5. Remind about pending manager approval - ---- - -## Procurement Agent - Purchasing Specialist - -### Capabilities - -The Procurement agent manages all purchasing activities with 6 specialized tools: - -#### 1. **Budget Availability Check** (`check_budget_availability`) -- Shows total allocated budget for fiscal year -- Displays spent amount and remaining balance -- Calculates budget utilization percentage -- Indicates approval requirements based on amount - -**Example Output:** -``` -Budget Analysis - Engineering -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -Category: Equipment -Requested Amount: $60,000.00 -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -BUDGET SUMMARY: - Total Allocated (FY2024): $90,000.00 - Spent to Date: $18,000.00 - Remaining Balance: $72,000.00 - Budget Utilized: 20.0% -━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ -STATUS: APPROVED -✓ Sufficient funds available for this purchase. - -Approval Required: Director + Finance -``` - -#### 2. **Vendor Information** (`get_vendor_information`) -- Vendor rating (out of 5 stars) -- Total orders and on-time delivery percentage -- Payment terms and discounts -- Account manager contact -- Contract status and expiration - -#### 3. **Purchase Order Creation** (`create_purchase_order`) -Creates detailed PO with: -- Unique PO number -- Item details with cost breakdown -- Tax and shipping calculations -- Grand total -- Approval workflow information -- Expected timeline - -**Parameters:** -- Item description -- Quantity -- Unit price -- Vendor name -- Department -- Business justification - -#### 4. **Order Tracking** (`track_order_status`) -- Current order status (Pending/Approved/In Transit/Delivered) -- Timeline with checkpoints -- Carrier and tracking number -- Estimated delivery date -- Vendor contact information - -#### 5. **Budget Reallocation** (`request_budget_reallocation`) -- Move funds between budget categories -- Submit justification -- Track request ID -- Get approval timeline - -#### 6. **Preferred Vendor Search** (`search_preferred_vendors`) -- Find approved vendors by category -- See pre-negotiated discounts (10-20% off) -- Get benefits of using preferred vendors -- Categories: Electronics, Software, Office Supplies, Furniture - -### Procurement Agent Workflow - -**For Purchase Orders, the agent follows this process:** -1. Understand purchase requirements -2. Check budget availability FIRST -3. Get vendor information if needed -4. Create detailed purchase order -5. Provide PO number and approval workflow -6. Remind about approval requirements based on amount - -**Approval Thresholds:** -- < $5,000: Manager approval only -- $5,000 - $25,000: Director approval -- > $25,000: VP + Finance approval - ---- - -## Policy Agent - Company Policy & Compliance Specialist - -### Capabilities - -The Policy agent provides policy information and compliance status with 4 specialized tools: - -#### 1. **Company Policy Retrieval** (`get_company_policy`) - -**Available Policies:** -- **remote_work**: Remote work guidelines (up to 3 days/week, core hours, requirements) -- **expense**: Expense reimbursement (meal limits, travel pre-approval, submission) -- **code_of_conduct**: Ethics and professional behavior standards -- **pto**: PTO accrual, usage, carryover, and blackout periods -- **security**: Information security (passwords, device security, data handling) -- **travel**: Business travel booking guidelines and limits - -Each policy includes: -- Detailed requirements and guidelines -- Specific limits and thresholds -- Submission/approval processes -- Contact information -- Policy number and effective date - -#### 2. **Compliance Status Checking** (`check_compliance_status`) -- Department or company-wide compliance -- Compliance percentage -- Audit history and findings -- Certification status (ISO 27001, SOC 2, GDPR, OSHA) -- Upcoming requirements -- Required actions if needed - -#### 3. **Policy Clarification Requests** (`request_policy_clarification`) -- Submit specific policy questions -- Get ticket ID for tracking -- Expected response timeline (1-2 business days) -- Assigned to policy team - -#### 4. **Policy Document Search** (`search_policy_documents`) -- Search by keyword -- Find relevant policy sections -- Get links to full documents -- Access via intranet or mobile app - ---- - -## Testing Examples - -### Test HR Agent -```bash -uv run uipath run agent --input-file input_hr.json -``` - -**Input:** -```json -{ - "message": "I want to take a vacation from February 15 to February 20, 2024. Can you check if I have enough PTO days available and submit the request? My employee ID is EMP12345." -} -``` - -**Expected Flow:** -1. Agent hands off to `hr_agent` -2. Checks PTO balance → Shows remaining days -3. Submits leave request → Returns confirmation with request ID -4. Provides next steps and timeline - ---- - -### Test Procurement Agent -```bash -uv run uipath run agent --input-file input_procurement.json -``` - -**Input:** -```json -{ - "message": "I need to order 50 Dell XPS laptops at $1,200 each for the Engineering department. This is for our new hire onboarding program. Can you check if we have budget in the Equipment category and create a purchase order?" -} -``` - -**Expected Flow:** -1. Agent hands off to `procurement_agent` -2. Checks budget for Engineering/Equipment → Shows $60,000 request is approved -3. Gets vendor information for Dell -4. Creates purchase order → Returns PO number and details -5. Indicates Director + Finance approval required - ---- - -### Test Policy Agent -```bash -uv run uipath run agent --input-file input_policy.json -``` - -**Input:** -```json -{ - "message": "What is the company's remote work policy? I'd like to know how many days I can work from home." -} -``` - -**Expected Flow:** -1. Agent hands off to `policy_agent` -2. Retrieves remote_work policy -3. Returns formatted policy with: - - Up to 3 days/week eligibility - - Core hours requirement (10 AM - 3 PM) - - Equipment and security requirements - - Contact information - ---- - -## Key Implementation Features - -### 1. **Realistic Mock Data** -- Hash-based consistent data generation -- Different values for different employees/departments -- Realistic ranges and variations - -### 2. **Professional Formatting** -- Unicode box drawing characters for clean tables -- Structured sections with clear headers -- Status indicators (✓, ✗, ⚠️, ○) -- Color-coded information - -### 3. **Comprehensive Information** -- Policy numbers and effective dates -- Contact information and support channels -- Reference IDs for tracking -- Timeline expectations - -### 4. **Workflow Logic** -- Sequential tool calls (check first, then act) -- Validation and approval requirements -- Status tracking and updates -- Next steps guidance - -### 5. **Scalability** -- Easy to add new tools -- Easy to add new agents -- Easy to modify policies -- Template-based responses - ---- - -## Benefits of This Implementation - -1. **Employee Self-Service**: Employees can get instant answers without waiting for human agents -2. **Consistent Information**: Same policy information provided to everyone -3. **Audit Trail**: All requests generate tracking IDs -4. **Process Compliance**: Built-in approval workflows -5. **Time Savings**: Automated budget checks, status tracking, policy lookups - ---- - -## Future Enhancements - -Potential additions for production: -- Integration with actual HRIS systems (Workday, BambooHR) -- Real-time PTO balance from database -- Integration with procurement systems (SAP, Oracle) -- Real vendor APIs for pricing and availability -- Document management system integration -- Email notifications for approvals -- Mobile app integration -- Analytics and reporting dashboard - ---- - -## Technical Notes - -### Agent Configuration -All agents use `gpt-4o-mini` model for cost efficiency while maintaining quality responses. - -### Tool Organization -Tools are organized by department with clear naming conventions: -- HR tools: `check_*`, `submit_*`, `schedule_*`, `get_*` -- Procurement tools: `check_*`, `create_*`, `track_*`, `request_*`, `search_*` -- Policy tools: `get_*`, `check_*`, `request_*`, `search_*` - -### Error Handling -All tools include mock implementations that always succeed for demo purposes. Production implementations should include: -- Database connection error handling -- API timeout handling -- Validation error messages -- Permission checks -- Rate limiting - ---- - -For questions or issues, refer to the main README or contact the development team. diff --git a/packages/uipath-openai-agents/samples/company_agent/README.md b/packages/uipath-openai-agents/samples/company_agent/README.md index e69de29b..9e25c8b1 100644 --- a/packages/uipath-openai-agents/samples/company_agent/README.md +++ b/packages/uipath-openai-agents/samples/company_agent/README.md @@ -0,0 +1,186 @@ +# Company Multi-Agent System with Handoff + +This is a multi-agent system that demonstrates the handoff pattern using UiPath OpenAI Agents. The system uses an orchestrator agent to route employee requests to specialized department agents. + +## Architecture + +### Agent Hierarchy + +``` +orchestrator_agent (Main Entry Point) + ├── hr_agent (Human Resources) + ├── procurement_agent (Purchasing & Orders) + └── policy_agent (Company Policies & Compliance) +``` + +### Flow Diagram + +See `agent.mermaid` for the visual flow diagram showing how requests are routed between agents. + +## Agents + +### 1. Orchestrator Agent +**Role:** Routes incoming requests to the appropriate department specialist + +**Routing Logic:** +- HR matters (benefits, leave, salary, PTO) → `hr_agent` +- Procurement matters (purchases, orders, budgets) → `procurement_agent` +- Policy matters (company policies, compliance) → `policy_agent` + +### 2. HR Agent +**Specialization:** Human Resources and Employee Services + +**Tools:** +- `check_employee_benefits(employee_id)` - View employee benefits +- `submit_leave_request(employee_id, leave_type, days)` - Submit PTO requests +- `get_salary_info(employee_id)` - Access salary information + +**Example Queries:** +- "I need to submit a leave request for 5 days" +- "What are my employee benefits?" +- "When is my next salary review?" + +### 3. Procurement Agent +**Specialization:** Purchasing and Budget Management + +**Tools:** +- `create_purchase_order(item, quantity, vendor)` - Create POs +- `check_budget_availability(department, amount)` - Verify budgets +- `track_order_status(po_number)` - Track shipments + +**Example Queries:** +- "I need to order 50 laptops from Dell" +- "Check if Engineering has budget for $10,000" +- "Track purchase order PO-2024-0050" + +### 4. Policy Agent +**Specialization:** Company Policies and Compliance + +**Tools:** +- `get_company_policy(policy_type)` - Retrieve policy information +- `check_compliance_status(policy_area)` - Check compliance status + +**Example Queries:** +- "What is the remote work policy?" +- "Show me the expense reimbursement policy" +- "Check compliance status for data security" + +## Testing + +### Test Files Included + +1. **HR Test:** `input_hr.json` + ```json + { + "message": "I need to submit a leave request for 5 days of vacation. My employee ID is EMP12345." + } + ``` + +2. **Procurement Test:** `input_procurement.json` + ```json + { + "message": "I need to order 50 laptops from Dell for the Engineering department." + } + ``` + +3. **Policy Test:** `input_policy.json` + ```json + { + "message": "What is the company's remote work policy?" + } + ``` + +### Running Tests + +```bash +# Test HR agent +uv run uipath run agent --input-file input_hr.json + +# Test Procurement agent +uv run uipath run agent --input-file input_procurement.json + +# Test Policy agent +uv run uipath run agent --input-file input_policy.json +``` + +## How It Works + +### Handoff Pattern + +The system uses the **handoffs** parameter in the Agent configuration: + +```python +orchestrator_agent = Agent( + name="orchestrator_agent", + instructions="Route requests to appropriate specialists...", + handoffs=[hr_agent, procurement_agent, policy_agent], +) +``` + +### Key Features + +1. **Automatic Routing:** The orchestrator analyzes the request and hands off to the right specialist +2. **Specialized Tools:** Each agent has domain-specific tools +3. **Context Preservation:** Conversation context is maintained during handoffs +4. **Return Flow:** Specialists return control to orchestrator after completion + +### Execution Flow + +1. User sends request → `orchestrator_agent` +2. Orchestrator analyzes request type +3. Orchestrator hands off to specialist (e.g., `hr_agent`) +4. Specialist uses its tools to fulfill request +5. Specialist returns result to orchestrator +6. Orchestrator delivers final response + +## Customization + +### Adding New Agents + +1. Create a new specialist agent with its tools: + ```python + finance_agent = Agent( + name="finance_agent", + instructions="Handle financial queries...", + tools=[your_finance_tools], + ) + ``` + +2. Add to orchestrator's handoffs: + ```python + orchestrator_agent = Agent( + handoffs=[hr_agent, procurement_agent, policy_agent, finance_agent], + ) + ``` + +3. Update orchestrator instructions to include routing logic + +### Adding New Tools + +1. Define a function tool: + ```python + @function_tool + async def your_tool(param: str) -> str: + """Tool description.""" + # Implementation + return result + ``` + +2. Add to the appropriate agent's tools list + +## Benefits of This Pattern + +- **Separation of Concerns:** Each agent handles one domain +- **Scalability:** Easy to add new departments/agents +- **Maintainability:** Tools and logic are isolated per domain +- **Flexibility:** Orchestrator can route based on complex logic +- **Testability:** Each agent can be tested independently + +## Production Considerations + +For production use, replace mock implementations with: +- Real database queries +- API integrations +- Authentication/authorization checks +- Audit logging +- Error handling and fallbacks diff --git a/packages/uipath-openai-agents/samples/company_agent/bindings.json b/packages/uipath-openai-agents/samples/company_agent/bindings.json deleted file mode 100644 index 5dd5a0fd..00000000 --- a/packages/uipath-openai-agents/samples/company_agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/company_agent/pyproject.toml b/packages/uipath-openai-agents/samples/company_agent/pyproject.toml index b8f0ed90..987912c9 100644 --- a/packages/uipath-openai-agents/samples/company_agent/pyproject.toml +++ b/packages/uipath-openai-agents/samples/company_agent/pyproject.toml @@ -1,13 +1,17 @@ [project] name = "openai-company-agent" -version = "0.1.3" +version = "0.1.0" description = "openai-company-agent" authors = [{ name = "Eusebiu Jecan", email = "eusebiu.jecan@uipath.com" }] dependencies = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/packages/uipath-openai-agents/samples/rag-assistant/.agent/REQUIRED_STRUCTURE.md b/packages/uipath-openai-agents/samples/rag-assistant/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51b..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/packages/uipath-openai-agents/samples/rag-assistant/.agent/SDK_REFERENCE.md b/packages/uipath-openai-agents/samples/rag-assistant/.agent/SDK_REFERENCE.md deleted file mode 100644 index a5e2e39f..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,698 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index_async(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/eval.md b/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/eval.md deleted file mode 100644 index 15fa04f7..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/eval.md +++ /dev/null @@ -1,287 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create and run agent evaluations ---- - -I'll help you create and run evaluations for your UiPath agent. - -## Step 1: Check project setup - -Let me check your project structure: - -!ls -la evaluations/ entry-points.json 2>/dev/null || echo "NEEDS_SETUP" - -# Check if schemas might be stale (main.py newer than entry-points.json) -!if [ -f main.py ] && [ -f entry-points.json ] && [ main.py -nt entry-points.json ]; then echo "SCHEMAS_MAY_BE_STALE"; fi - -### If NEEDS_SETUP - -If `entry-points.json` doesn't exist, initialize the project first: - -!uv run uipath init - -Then re-run this skill. - -### If SCHEMAS_MAY_BE_STALE - -Your `main.py` is newer than `entry-points.json`. Refresh schemas: - -!uv run uipath init --no-agents-md-override - -## Step 2: What would you like to do? - -1. **Create new eval set** - Set up evaluations from scratch -2. **Add test case** - Add a test to existing eval set -3. **Run evaluations** - Execute tests and see results -4. **Analyze failures** - Debug failing tests - ---- - -## Creating an Eval Set - -First, create the directory structure: - -!mkdir -p evaluations/eval-sets evaluations/evaluators - -Read the agent's Input/Output schema from entry-points.json to understand the data types. - -### Evaluator Selection Guide - -| If your output is... | Use this evaluator | evaluatorTypeId | -|---------------------|-------------------|-----------------| -| Exact string/number | `ExactMatchEvaluator` | `uipath-exact-match` | -| Contains key phrases | `ContainsEvaluator` | `uipath-contains` | -| Semantically correct | `LLMJudgeOutputEvaluator` | `uipath-llm-judge-output-semantic-similarity` | -| JSON with numbers | `JsonSimilarityEvaluator` | `uipath-json-similarity` | - -### Step 1: Create Evaluator Config Files - -**Each evaluator needs a JSON config file** in `evaluations/evaluators/`. - -**ExactMatchEvaluator** (`evaluations/evaluators/exact-match.json`): -```json -{ - "version": "1.0", - "id": "ExactMatchEvaluator", - "name": "ExactMatchEvaluator", - "description": "Checks for exact output match", - "evaluatorTypeId": "uipath-exact-match", - "evaluatorConfig": { - "name": "ExactMatchEvaluator", - "targetOutputKey": "*" - } -} -``` - -**LLMJudgeOutputEvaluator** (`evaluations/evaluators/llm-judge-output.json`): -```json -{ - "version": "1.0", - "id": "LLMJudgeOutputEvaluator", - "name": "LLMJudgeOutputEvaluator", - "description": "Uses LLM to judge semantic similarity", - "evaluatorTypeId": "uipath-llm-judge-output-semantic-similarity", - "evaluatorConfig": { - "name": "LLMJudgeOutputEvaluator", - "model": "gpt-4o-mini-2024-07-18" - } -} -``` - -**JsonSimilarityEvaluator** (`evaluations/evaluators/json-similarity.json`): -```json -{ - "version": "1.0", - "id": "JsonSimilarityEvaluator", - "name": "JsonSimilarityEvaluator", - "description": "Compares JSON structures", - "evaluatorTypeId": "uipath-json-similarity", - "evaluatorConfig": { - "name": "JsonSimilarityEvaluator", - "targetOutputKey": "*" - } -} -``` - -**ContainsEvaluator** (`evaluations/evaluators/contains.json`): -```json -{ - "version": "1.0", - "id": "ContainsEvaluator", - "name": "ContainsEvaluator", - "description": "Checks if output contains text", - "evaluatorTypeId": "uipath-contains", - "evaluatorConfig": { - "name": "ContainsEvaluator" - } -} -``` - -### Step 2: Create Eval Set - -**Eval Set Template** (`evaluations/eval-sets/default.json`): -```json -{ - "version": "1.0", - "id": "default-eval-set", - "name": "Default Evaluation Set", - "evaluatorRefs": ["ExactMatchEvaluator"], - "evaluations": [ - { - "id": "test-1", - "name": "Test description", - "inputs": { - "field": "value" - }, - "evaluationCriterias": { - "ExactMatchEvaluator": { - "expectedOutput": { - "result": "expected value" - } - } - } - } - ] -} -``` - -**Important notes:** -- `evaluatorRefs` must list ALL evaluators used in any test case -- Each evaluator in `evaluatorRefs` needs a matching JSON config in `evaluations/evaluators/` -- `evaluationCriterias` keys must match entries in `evaluatorRefs` -- Use `expectedOutput` for most evaluators -- LLM evaluators need `model` in their config. Available models are defined in the SDK's `ChatModels` class (`uipath.platform.chat.ChatModels`): - - `gpt-4o-mini-2024-07-18` (recommended for cost-efficiency) - - `gpt-4o-2024-08-06` (higher quality, higher cost) - - `o3-mini-2025-01-31` (latest reasoning model) - - Model availability varies by region and tenant configuration - - Check your UiPath Automation Cloud portal under AI Trust Layer for available models in your region - ---- - -## Adding a Test Case - -When adding a test to an existing eval set: - -1. Read the existing eval set -2. Check which evaluators are in `evaluatorRefs` -3. Add the new test to `evaluations` array -4. If using a new evaluator, add it to `evaluatorRefs` - -### Test Case Template - -```json -{ - "id": "test-{n}", - "name": "Description of what this tests", - "inputs": { }, - "evaluationCriterias": { - "EvaluatorName": { - "expectedOutput": { } - } - } -} -``` - ---- - -## Running Evaluations - -First, read entry-points.json to get the entrypoint name (e.g., `main`): - -!uv run uipath eval main evaluations/eval-sets/default.json --output-file eval-results.json - -**Note:** Replace `main` with your actual entrypoint from entry-points.json. - -### Analyze Results - -After running, read `eval-results.json` and show: -- Pass/fail summary table -- For failures: expected vs actual output -- Suggestions for fixing or changing evaluators - -### Results Format - -```json -{ - "evaluationSetResults": [{ - "evaluationRunResults": [ - { - "evaluationId": "test-1", - "evaluatorId": "ExactMatchEvaluator", - "result": { "score": 1.0 }, - "errorMessage": null - } - ] - }] -} -``` - -- Score 1.0 = PASS -- Score < 1.0 = FAIL (show expected vs actual) -- errorMessage present = ERROR (show message) - ---- - -## Evaluator Reference - -### Deterministic Evaluators - -**ExactMatchEvaluator** - Exact output matching -```json -"ExactMatchEvaluator": { - "expectedOutput": { "result": "exact value" } -} -``` - -**ContainsEvaluator** - Output contains substring -```json -"ContainsEvaluator": { - "searchText": "must contain this" -} -``` - -**JsonSimilarityEvaluator** - JSON comparison with tolerance -```json -"JsonSimilarityEvaluator": { - "expectedOutput": { "value": 10.0 } -} -``` - -### LLM-Based Evaluators - -**LLMJudgeOutputEvaluator** - Semantic correctness -```json -"LLMJudgeOutputEvaluator": { - "expectedOutput": { "summary": "Expected semantic meaning" } -} -``` - -**LLMJudgeTrajectoryEvaluator** - Validate agent reasoning -```json -"LLMJudgeTrajectoryEvaluator": { - "expectedAgentBehavior": "The agent should first fetch data, then process it" -} -``` - ---- - -## Common Issues - -### "No evaluations found" -- Check `evaluations/eval-sets/` directory exists -- Verify JSON file is valid - -### Evaluator not found -- Each evaluator needs a JSON config file in `evaluations/evaluators/` -- Config file must have correct `evaluatorTypeId` (see templates above) -- Config file must have `name` field at root level -- LLM evaluators need `model` in `evaluatorConfig` - -### Evaluator skipped -- Ensure evaluator is listed in root `evaluatorRefs` array -- Check evaluator config file exists in `evaluations/evaluators/` - -### Schema mismatch -- Run `uv run uipath init --no-agents-md-override` to refresh schemas -- Check `entry-points.json` matches your Input/Output models diff --git a/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/new-agent.md b/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/new-agent.md deleted file mode 100644 index b1d05186..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/.claude/commands/new-agent.md +++ /dev/null @@ -1,103 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create a new UiPath coded agent from a description ---- - -I'll help you create a new UiPath coded agent. - -## Step 1: Check existing project - -Let me check if this is an existing UiPath project: - -!ls uipath.json main.py 2>/dev/null || echo "NEW_PROJECT" - -## Step 2: Gather requirements - -**What should this agent do?** - -Please describe: - -- What inputs it needs (e.g., "a file path and bucket name") -- What it should accomplish (e.g., "process CSV data") -- What outputs it should return (e.g., "total count and status") - -I'll generate the agent structure based on your description. - -## Step 3: Generate agent - -After you describe the agent, I will: - -1. Create `main.py` with Input/Output Pydantic models and `async def main()` -2. Add entrypoint to `uipath.json` under `"functions": {"agent_name": "main.py:main"}` -3. Run `uv run uipath init --no-agents-md-override` to generate schemas - -**Template structure** (from .agent/REQUIRED_STRUCTURE.md): - -```python -from pydantic import BaseModel -from uipath.platform import UiPath - -class Input(BaseModel): - """Input fields for the agent.""" - # Fields based on your description - pass - - -class Output(BaseModel): - """Output fields returned by the agent.""" - # Fields based on your description - pass - - -async def main(input: Input) -> Output: - """Main entry point for the agent. - - Args: - input: The input data for the agent. - - Returns: - The output data from the agent. - """ - - uipath = UiPath() - - # TODO: Implement agent logic - return Output() -``` - -**Important notes:** - -- Use `async def main` - many SDK methods are async -- Initialize `UiPath()` inside the function, not at module level -- After creating main.py, add entrypoint to `uipath.json` under `"functions"` - -## Step 4: Update entry-point schemas - -After creating main.py, regenerate the schemas: - -!uv run uipath init --no-agents-md-override - -## Step 5: Verify - -Quick test to verify the setup: - -!uv run uipath run main '{}' 2>&1 | head -30 - -## Summary - -Once complete, you'll have: - -| File | Purpose | -| ------------------- | ----------------------------------- | -| `main.py` | Agent code with Input/Output models | -| `uipath.json` | Project configuration | -| `entry-points.json` | Entry point schemas | -| `bindings.json` | Resource bindings | -| `.agent/` | SDK and CLI reference docs | - -**Next steps:** - -1. Implement your logic in `main()` -2. Test: `uv run uipath run main '{"field": "value"}'` -3. Create `eval_set.json` for evaluations -4. Evaluate: `uv run uipath eval` diff --git a/packages/uipath-openai-agents/samples/rag-assistant/AGENTS.md b/packages/uipath-openai-agents/samples/rag-assistant/AGENTS.md deleted file mode 100644 index b83142f0..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/packages/uipath-openai-agents/samples/rag-assistant/CLAUDE.md b/packages/uipath-openai-agents/samples/rag-assistant/CLAUDE.md deleted file mode 100644 index eef4bd20..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/rag-assistant/bindings.json b/packages/uipath-openai-agents/samples/rag-assistant/bindings.json deleted file mode 100644 index 5dd5a0fd..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/rag-assistant/entry-points.json b/packages/uipath-openai-agents/samples/rag-assistant/entry-points.json deleted file mode 100644 index 2801c08c..00000000 --- a/packages/uipath-openai-agents/samples/rag-assistant/entry-points.json +++ /dev/null @@ -1,97 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "ca84ed97-359c-4d78-b93a-d431b66943f6", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "array", - "items": { - "type": "object" - } - } - ], - "title": "Messages", - "description": "User messages to send to the agent" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "result": { - "title": "Result", - "description": "The agent's response", - "anyOf": [ - { - "type": "string" - }, - { - "type": "object" - }, - { - "type": "array", - "items": { - "type": "object" - } - } - ] - } - }, - "required": [ - "result" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": null - }, - { - "id": "assistant_agent", - "name": "assistant_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": null - } - ], - "edges": [ - { - "source": "__start__", - "target": "assistant_agent", - "label": "input" - }, - { - "source": "assistant_agent", - "target": "__end__", - "label": "output" - } - ] - } - } - ] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/rag-assistant/pyproject.toml b/packages/uipath-openai-agents/samples/rag-assistant/pyproject.toml index 2b40b52e..76a69f3f 100644 --- a/packages/uipath-openai-agents/samples/rag-assistant/pyproject.toml +++ b/packages/uipath-openai-agents/samples/rag-assistant/pyproject.toml @@ -5,12 +5,12 @@ description = "RAG Assistant sample using UiPath OpenAI Agents" readme = "README.md" requires-python = ">=3.11" dependencies = [ - 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-The UiPath Python SDK provides a comprehensive CLI for managing coded agents and automation projects. All commands should be executed with `uv run uipath `. - -### Command Overview - -| Command | Purpose | When to Use | -|---------|---------|-------------| -| `init` | Initialize agent project | Creating a new agent or updating schema | -| `run` | Execute agent | Running agent locally or testing | -| `eval` | Evaluate agent | Testing agent performance with evaluation sets | - ---- - -### `uipath init` - -**Description:** Initialize the project. - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--no-agents-md-override` | flag | false | Won't override existing .agent files and AGENTS.md file. | - -**Usage Examples:** - -```bash -# Initialize a new agent project -uv run uipath init - -# Initialize with specific entrypoint -uv run uipath init main.py - -# Initialize and infer bindings from code -uv run uipath init --infer-bindings -``` - -**When to use:** Run this command when you've modified the Input/Output models and need to regenerate the `uipath.json` schema file. - ---- - -### `uipath run` - -**Description:** Execute the project. - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `input` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--resume` | flag | false | Resume execution from a previous state | -| `-f`, `--file` | value | `Sentinel.UNSET` | File path for the .json input | -| `--input-file` | value | `Sentinel.UNSET` | Alias for '-f/--file' arguments | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--trace-file` | value | `Sentinel.UNSET` | File path where the trace spans will be written (JSON Lines format) | -| `--state-file` | value | `Sentinel.UNSET` | File path where the state file is stored for persisting execution state. If not provided, a temporary file will be used. | -| `--debug` | flag | false | Enable debugging with debugpy. The process will wait for a debugger to attach. | -| `--debug-port` | value | `5678` | Port for the debug server (default: 5678) | -| `--keep-state-file` | flag | false | Keep the temporary state file even when not resuming and no job id is provided | - -**Usage Examples:** - -```bash -# Run agent with inline JSON input -uv run uipath run main.py '{"query": "What is the weather?"}' - -# Run agent with input from file -uv run uipath run main.py --file input.json - -# Run agent and save output to file -uv run uipath run agent '{"task": "Process data"}' --output-file result.json - -# Run agent with debugging enabled -uv run uipath run main.py '{"input": "test"}' --debug --debug-port 5678 - -# Resume agent execution from previous state -uv run uipath run --resume -``` - -**When to use:** Run this command to execute your agent locally for development, testing, or debugging. Use `--debug` flag to attach a debugger for step-by-step debugging. - ---- - -### `uipath eval` - -**Description:** Run an evaluation set against the agent. - - Args: - entrypoint: Path to the agent script to evaluate (optional, will auto-discover if not specified) - eval_set: Path to the evaluation set JSON file (optional, will auto-discover if not specified) - eval_ids: Optional list of evaluation IDs - eval_set_run_id: Custom evaluation set run ID (optional, will generate UUID if not specified) - workers: Number of parallel workers for running evaluations - no_report: Do not report the evaluation results - enable_mocker_cache: Enable caching for LLM mocker responses - report_coverage: Report evaluation coverage - model_settings_id: Model settings ID to override agent settings - trace_file: File path where traces will be written in JSONL format - max_llm_concurrency: Maximum concurrent LLM requests - input_overrides: Input field overrides mapping (direct field override with deep merge) - resume: Resume execution from a previous suspended state - - -**Arguments:** - -| Argument | Required | Description | -|----------|----------|-------------| -| `entrypoint` | No | N/A | -| `eval_set` | No | N/A | - -**Options:** - -| Option | Type | Default | Description | -|--------|------|---------|-------------| -| `--eval-set-run-id` | value | `Sentinel.UNSET` | Custom evaluation set run ID (if not provided, a UUID will be generated) | -| `--no-report` | flag | false | Do not report the evaluation results | -| `--workers` | value | `1` | Number of parallel workers for running evaluations (default: 1) | -| `--output-file` | value | `Sentinel.UNSET` | File path where the output will be written | -| `--enable-mocker-cache` | flag | false | Enable caching for LLM mocker responses | -| `--report-coverage` | flag | false | Report evaluation coverage | -| `--model-settings-id` | value | `"default"` | Model settings ID from evaluation set to override agent settings (default: 'default') | -| `--trace-file` | value | `Sentinel.UNSET` | File path where traces will be written in JSONL format | -| `--max-llm-concurrency` | value | `20` | Maximum concurrent LLM requests (default: 20) | -| `--resume` | flag | false | Resume execution from a previous suspended state | - -**Usage Examples:** - -```bash -# Run evaluation with auto-discovered files -uv run uipath eval - -# Run evaluation with specific entrypoint and eval set -uv run uipath eval main.py eval_set.json - -# Run evaluation without reporting results -uv run uipath eval --no-report - -# Run evaluation with custom number of workers -uv run uipath eval --workers 4 - -# Save evaluation output to file -uv run uipath eval --output-file eval_results.json -``` - -**When to use:** Run this command to test your agent's performance against a predefined evaluation set. This helps validate agent behavior and measure quality metrics. - ---- - -### Common Workflows - -**1. Creating a New Agent:** -```bash -# Step 1: Initialize project -uv run uipath init - -# Step 2: Run agent to test -uv run uipath run main.py '{"input": "test"}' - -# Step 3: Evaluate agent performance -uv run uipath eval -``` - -**2. Development & Testing:** -```bash -# Run with debugging -uv run uipath run main.py '{"input": "test"}' --debug - -# Test with input file -uv run uipath run main.py --file test_input.json --output-file test_output.json -``` - -**3. Schema Updates:** -```bash -# After modifying Input/Output models, regenerate schema -uv run uipath init --infer-bindings -``` - -### Configuration File (uipath.json) - -The `uipath.json` file is automatically generated by `uipath init` and defines your agent's schema and bindings. - -**Structure:** - -```json -{ - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "uuid-here", - "type": "agent", - "input": { - "type": "object", - "properties": { ... }, - "description": "Input schema", - "required": [ ... ] - }, - "output": { - "type": "object", - "properties": { ... }, - "description": "Output schema", - "required": [ ... ] - } - } - ], - "bindings": { - "version": "2.0", - "resources": [] - } -} -``` - -**When to Update:** - -1. **After Modifying Input/Output Models**: Run `uv run uipath init --infer-bindings` to regenerate schemas -2. **Changing Entry Point**: Update `filePath` if you rename or move your main file -3. **Manual Schema Adjustments**: Edit `input.jsonSchema` or `output.jsonSchema` directly if needed -4. **Bindings Updates**: The `bindings` section maps the exported graph variable - update if you rename your graph - -**Important Notes:** - -- The `uniqueId` should remain constant for the same agent -- Always use `type: "agent"` for LangGraph agents -- The `jsonSchema` must match your Pydantic models exactly -- Re-run `uipath init --infer-bindings` instead of manual edits when possible - - -## Service Commands Reference - -The UiPath CLI provides commands for interacting with UiPath platform services. These commands allow you to manage buckets, assets, jobs, and other resources. - -### `uipath assets` - -Manage UiPath assets. - - Assets are key-value pairs that store configuration data, credentials, - and settings used by automation processes. - - \b - Examples: - # List all assets in a folder - uipath assets list --folder-path "Shared" - - # List with filter - uipath assets list --filter "ValueType eq 'Text'" - - # List with ordering - uipath assets list --orderby "Name asc" - - -**Subcommands:** - -**`uipath assets list`** - -List assets in a folder. - - \b - Examples: - uipath assets list - uipath assets list --folder-path "Shared" - uipath assets list --filter "ValueType eq 'Text'" - uipath assets list --filter "Name eq 'MyAsset'" - uipath assets list --orderby "Name asc" - uipath assets list --top 50 --skip 100 - - -Options: -- `--filter`: OData $filter expression (default: `Sentinel.UNSET`) -- `--orderby`: OData $orderby expression (default: `Sentinel.UNSET`) -- `--top`: Maximum number of items to return (default: 100, max: 1000) (default: `100`) -- `--skip`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - -### `uipath buckets` - -Manage UiPath storage buckets and files. - -Buckets are cloud storage containers for files used by automation processes. - - -Bucket Operations: - list - List all buckets - create - Create a new bucket - delete - Delete a bucket - retrieve - Get bucket details - exists - Check if bucket exists - - -File Operations (use 'buckets files' subcommand): - files list - List files in a bucket - files search - Search files using glob patterns - files upload - Upload a file to a bucket - files download - Download a file from a bucket - files delete - Delete a file from a bucket - files exists - Check if a file exists - - -Examples: -  - # Bucket operations with explicit folder - uipath buckets list --folder-path "Shared" - uipath buckets create my-bucket --description "Data storage" - uipath buckets exists my-bucket - uipath buckets delete my-bucket --confirm -  - # Using environment variable for folder context - export UIPATH_FOLDER_PATH="Shared" - uipath buckets list - uipath buckets create my-bucket --description "Data storage" -  - # File operations - uipath buckets files list my-bucket - uipath buckets files search my-bucket "*.pdf" - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files download my-bucket data.csv ./local.csv - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files exists my-bucket data.csv - - -**Subcommands:** - -**`uipath buckets create`** - -Create a new Bucket. - -Examples: - uipath buckets create my-resource - uipath buckets create my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--description`: Bucket description -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets delete`** - -Delete a bucket. - -  - Examples: - uipath buckets delete my-bucket --confirm - uipath buckets delete my-bucket --dry-run - - -Arguments: -- `name` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted without deleting -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets exists`** - -Check if a Bucket exists. - -Examples: - uipath buckets exists my-resource - uipath buckets exists my-resource --folder-path Shared - - -Arguments: -- `name` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -#### `uipath buckets files` - -Manage files within buckets. - -  - Examples: -  - # List files in a bucket - uipath buckets files list my-bucket -  - # Search for files with glob pattern - uipath buckets files search my-bucket "*.pdf" -  - # Upload a file - uipath buckets files upload my-bucket ./data.csv remote/data.csv -  - # Download a file - uipath buckets files download my-bucket data.csv ./local.csv -  - # Delete a file - uipath buckets files delete my-bucket old-data.csv --confirm -  - # Check if file exists - uipath buckets files exists my-bucket data.csv - - -**`uipath buckets files delete`** - -Delete a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files delete my-bucket old-data.csv --confirm - uipath buckets files delete reports archive/old.pdf --dry-run - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--confirm`: Skip confirmation prompt -- `--dry-run`: Show what would be deleted -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files download`** - -Download a file from a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - REMOTE_PATH: Path to file in bucket - LOCAL_PATH: Local destination path - -  - Examples: - uipath buckets files download my-bucket data.csv ./downloads/data.csv - uipath buckets files download reports monthly/report.pdf ./report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `remote_path` (required): N/A -- `local_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files exists`** - -Check if a file exists in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - FILE_PATH: Path to file in bucket - -  - Examples: - uipath buckets files exists my-bucket data.csv - uipath buckets files exists reports monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `file_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files list`** - -List files in a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - -  - Examples: - uipath buckets files list my-bucket - uipath buckets files list my-bucket --prefix "data/" - uipath buckets files list reports --limit 10 --format json - uipath buckets files list my-bucket --all - - -Arguments: -- `bucket_name` (required): N/A - -Options: -- `--prefix`: Filter files by prefix (default: ``) -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--offset`: Number of files to skip (default: `0`) -- `--all`: Fetch all files (auto-paginate) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files search`** - -Search for files using glob patterns. - - Uses the GetFiles API which supports glob patterns like *.pdf or data_*.csv. - -  - Arguments: - BUCKET_NAME: Name of the bucket - PATTERN: Glob pattern to match files (e.g., "*.pdf", "data_*.csv") - -  - Examples: - uipath buckets files search my-bucket "*.pdf" - uipath buckets files search reports "*.csv" --recursive - uipath buckets files search my-bucket "data_*.json" --prefix "archive/" - - -Arguments: -- `bucket_name` (required): N/A -- `pattern` (required): N/A - -Options: -- `--prefix`: Directory path to search in (default: ``) -- `--recursive`: Search subdirectories recursively -- `--limit`: Maximum number of files to return (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets files upload`** - -Upload a file to a bucket. - -  - Arguments: - BUCKET_NAME: Name of the bucket - LOCAL_PATH: Local file to upload - REMOTE_PATH: Destination path in bucket - -  - Examples: - uipath buckets files upload my-bucket ./data.csv remote/data.csv - uipath buckets files upload reports ./report.pdf monthly/report.pdf - - -Arguments: -- `bucket_name` (required): N/A -- `local_path` (required): N/A -- `remote_path` (required): N/A - -Options: -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets list`** - -List all Buckets. - -Examples: - uipath buckets list - uipath buckets list --folder-path Shared - - -Options: -- `--limit`: Maximum number of items to return (default: `Sentinel.UNSET`) -- `--offset`: Number of items to skip (default: `0`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - -**`uipath buckets retrieve`** - -Retrieve a bucket by name or key. - -  - Examples: - uipath buckets retrieve --name "my-bucket" - uipath buckets retrieve --key "abc-123-def-456" --format json - - -Options: -- `--name`: Bucket name (default: `Sentinel.UNSET`) -- `--key`: Bucket key (UUID) (default: `Sentinel.UNSET`) -- `--folder-path`: Folder path (e.g., "Shared"). Can also be set via UIPATH_FOLDER_PATH environment variable. (default: `Sentinel.UNSET`) -- `--folder-key`: Folder key (UUID) (default: `Sentinel.UNSET`) -- `--format`: Output format (overrides global) (default: `Sentinel.UNSET`) -- `--output`, `-o`: Output file (overrides global) (default: `Sentinel.UNSET`) - ---- - diff --git a/packages/uipath-openai-agents/samples/triage-agent/.agent/REQUIRED_STRUCTURE.md b/packages/uipath-openai-agents/samples/triage-agent/.agent/REQUIRED_STRUCTURE.md deleted file mode 100644 index 832fe51b..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/.agent/REQUIRED_STRUCTURE.md +++ /dev/null @@ -1,64 +0,0 @@ -## Required Agent Structure - -**IMPORTANT**: All UiPath coded agents MUST follow this standard structure unless explicitly specified otherwise by the user. - -### Required Components - -Every agent implementation MUST include these two Pydantic models: - -```python -from pydantic import BaseModel - -class Input(BaseModel): - """Define input fields that the agent accepts""" - # Add your input fields here - pass - -class Output(BaseModel): - """Define output fields that the agent returns""" - # Add your output fields here - pass -``` - -### SDK Initialization - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -uipath = UiPath() - -# With explicit credentials -uipath = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") - -# Or with client_id and client_secret -uipath = UiPath( - client_id=UIPATH_CLIENT_ID, - client_secret=UIPATH_CLIENT_SECRET, - scope=UIPATH_SCOPE, - base_url=UIPATH_URL -) -``` - -### Standard Agent Template - -Every agent should follow this basic structure: - -```python -from uipath.platform import UiPath -from pydantic import BaseModel - -# 1. Define Input, and Output models -class Input(BaseModel): - field: str - -class Output(BaseModel): - result: str - -# 2. Initialize with environment variables -uipath = UiPath() - -# 3. Define the main function (the main function can be named "main", "run" or "execute") -def main(input_data: Input) -> Output: - pass -``` diff --git a/packages/uipath-openai-agents/samples/triage-agent/.agent/SDK_REFERENCE.md b/packages/uipath-openai-agents/samples/triage-agent/.agent/SDK_REFERENCE.md deleted file mode 100644 index a5e2e39f..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/.agent/SDK_REFERENCE.md +++ /dev/null @@ -1,698 +0,0 @@ -## API Reference - -This section provides a comprehensive reference for all UiPath SDK services and methods. Each service is documented with complete method signatures, including parameter types and return types. - -### SDK Initialization - -Initialize the UiPath SDK client - -```python -from uipath.platform import UiPath - -# Initialize with environment variables -sdk = UiPath() - -# Or with explicit credentials -sdk = UiPath(base_url="https://cloud.uipath.com/...", secret="your_token") -``` - -### Agenthub - -Agenthub service - -```python -# Fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Asynchronously fetch available models from LLM Gateway discovery endpoint. -sdk.agenthub.get_available_llm_models_async(headers: dict[str, Any] | None=None) -> list[uipath.platform.agenthub.agenthub.LlmModel] - -# Start a system agent job. -sdk.agenthub.invoke_system_agent(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -# Asynchronously start a system agent and return the job. -sdk.agenthub.invoke_system_agent_async(agent_name: str, entrypoint: str, input_arguments: dict[str, Any] | None=None, folder_key: str | None=None, folder_path: str | None=None, headers: dict[str, Any] | None=None) -> str - -``` - -### Api Client - -Api Client service - -```python -# Access api_client service methods -service = sdk.api_client - -``` - -### Assets - -Assets service - -```python -# List assets using OData API with offset-based pagination. -sdk.assets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Asynchronously list assets using OData API with offset-based pagination. -sdk.assets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.assets.Asset] - -# Retrieve an asset by its name. -sdk.assets.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Asynchronously retrieve an asset by its name. -sdk.assets.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.assets.UserAsset | uipath.platform.orchestrator.assets.Asset - -# Gets a specified Orchestrator credential. -sdk.assets.retrieve_credential(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Asynchronously gets a specified Orchestrator credential. -sdk.assets.retrieve_credential_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Optional[str] - -# Update an asset's value. -sdk.assets.update(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -# Asynchronously update an asset's value. -sdk.assets.update_async(robot_asset: uipath.platform.orchestrator.assets.UserAsset, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> httpx.Response - -``` - -### Attachments - -Attachments service - -```python -# Delete an attachment. -sdk.attachments.delete(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Delete an attachment asynchronously. -sdk.attachments.delete_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> None - -# Download an attachment. -sdk.attachments.download(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Download an attachment asynchronously. -sdk.attachments.download_async(key: uuid.UUID, destination_path: str, folder_key: str | None=None, folder_path: str | None=None) -> str - -# Get the BlobFileAccess information for an attachment. -sdk.attachments.get_blob_file_access_uri(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Get the BlobFileAccess information for an attachment asynchronously. -sdk.attachments.get_blob_file_access_uri_async(key: uuid.UUID, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.attachments.attachments.BlobFileAccessInfo - -# Open an attachment. -sdk.attachments.open(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.Iterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Open an attachment asynchronously. -sdk.attachments.open_async(attachment: uipath.platform.attachments.attachments.Attachment, mode: typing.AsyncIterator[typing.Tuple[uipath.platform.attachments.attachments.Attachment, httpx.Response]] - -# Upload a file or content to UiPath as an attachment. -sdk.attachments.upload(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -# Upload a file or content to UiPath as an attachment asynchronously. -sdk.attachments.upload_async(name: str, content: str | bytes | None=None, source_path: str | None=None, folder_key: str | None=None, folder_path: str | None=None) -> uuid.UUID - -``` - -### Buckets - -Buckets service - -```python -# Create a new bucket. -sdk.buckets.create(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Async version of create(). -sdk.buckets.create_async(name: str, description: Optional[str]=None, identifier: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Delete a bucket. -sdk.buckets.delete(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of delete(). -sdk.buckets.delete_async(name: Optional[str]=None, key: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Delete a file from a bucket. -sdk.buckets.delete_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Delete a file from a bucket asynchronously. -sdk.buckets.delete_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket. -sdk.buckets.download(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Download a file from a bucket asynchronously. -sdk.buckets.download_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, destination_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Check if bucket exists. -sdk.buckets.exists(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.buckets.exists_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Check if a file exists in a bucket. -sdk.buckets.exists_file(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists_file(). -sdk.buckets.exists_file_async(name: Optional[str]=None, key: Optional[str]=None, blob_file_path: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get files using OData GetFiles API with offset-based pagination. -sdk.buckets.get_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of get_files() with offset-based pagination. -sdk.buckets.get_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", recursive: bool=False, file_name_glob: Optional[str]=None, skip: int=0, top: int=500, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# List buckets using OData API with offset-based pagination. -sdk.buckets.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# Async version of list() with offset-based pagination. -sdk.buckets.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, name: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.Bucket] - -# List files in a bucket using cursor-based pagination. -sdk.buckets.list_files(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Async version of list_files() with cursor-based pagination. -sdk.buckets.list_files_async(name: Optional[str]=None, key: Optional[str]=None, prefix: str="", take_hint: int=500, continuation_token: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.buckets.BucketFile] - -# Retrieve bucket information by its name. -sdk.buckets.retrieve(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Asynchronously retrieve bucket information by its name. -sdk.buckets.retrieve_async(name: Optional[str]=None, key: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.orchestrator.buckets.Bucket - -# Upload a file to a bucket. -sdk.buckets.upload(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Upload a file to a bucket asynchronously. -sdk.buckets.upload_async(key: Optional[str]=None, name: Optional[str]=None, blob_file_path: str, content_type: Optional[str]=None, source_path: Optional[str]=None, content: Union[str, bytes, NoneType]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -``` - -### Connections - -Connections service - -```python -# Invoke an activity synchronously. -sdk.connections.invoke_activity(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Invoke an activity asynchronously. -sdk.connections.invoke_activity_async(activity_metadata: uipath.platform.connections.connections.ActivityMetadata, connection_id: str, activity_input: Dict[str, Any]) -> typing.Any - -# Lists all connections with optional filtering. -sdk.connections.list(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Asynchronously lists all connections with optional filtering. -sdk.connections.list_async(name: Optional[str]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, connector_key: Optional[str]=None, skip: Optional[int]=None, top: Optional[int]=None) -> typing.List[uipath.platform.connections.connections.Connection] - -# Synchronously retrieve connection API metadata. -sdk.connections.metadata(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Asynchronously retrieve connection API metadata. -sdk.connections.metadata_async(element_instance_id: int, connector_key: str, tool_path: str, parameters: Optional[Dict[str, str]]=None, schema_mode: bool=True, max_jit_depth: int=5) -> uipath.platform.connections.connections.ConnectionMetadata - -# Retrieve connection details by its key. -sdk.connections.retrieve(key: str) -> uipath.platform.connections.connections.Connection - -# Asynchronously retrieve connection details by its key. -sdk.connections.retrieve_async(key: str) -> uipath.platform.connections.connections.Connection - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve event payload from UiPath Integration Service. -sdk.connections.retrieve_event_payload_async(event_args: uipath.platform.connections.connections.EventArguments) -> typing.Dict[str, typing.Any] - -# Retrieve an authentication token for a connection. -sdk.connections.retrieve_token(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -# Asynchronously retrieve an authentication token for a connection. -sdk.connections.retrieve_token_async(key: str, token_type: uipath.platform.connections.connections.ConnectionToken - -``` - -### Context Grounding - -Context Grounding service - -```python -# Add content to the index. -sdk.context_grounding.add_to_index(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Asynchronously add content to the index. -sdk.context_grounding.add_to_index_async(name: str, blob_file_path: str, content_type: Optional[str]=None, content: Union[str, bytes, NoneType]=None, source_path: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, ingest_data: bool=True) -> None - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new ephemeral context grounding index. -sdk.context_grounding.create_ephemeral_index_async(usage: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Create a new context grounding index. -sdk.context_grounding.create_index_async(name: str, source: Union[uipath.platform.context_grounding.context_grounding_payloads.BucketSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.GoogleDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.DropboxSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.OneDriveSourceConfig, uipath.platform.context_grounding.context_grounding_payloads.ConfluenceSourceConfig], description: Optional[str]=None, advanced_ingestion: Optional[bool]=True, preprocessing_request: Optional[str]="#UiPath.Vdbs.Domain.Api.V20Models.LLMV4PreProcessingRequest", folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Delete a context grounding index. -sdk.context_grounding.delete_index(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously delete a context grounding index. -sdk.context_grounding.delete_index_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Asynchronously downloads the Batch Transform result file to the specified path. -sdk.context_grounding.download_batch_transform_result_async(id: str, destination_path: str, validate_status: bool=True, index_name: str | None=None) -> None - -# Ingest data into the context grounding index. -sdk.context_grounding.ingest_data(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Asynchronously ingest data into the context grounding index. -sdk.context_grounding.ingest_data_async(index: uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> None - -# Retrieve context grounding index information by its name. -sdk.context_grounding.retrieve(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Asynchronously retrieve context grounding index information by its name. -sdk.context_grounding.retrieve_async(name: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uipath.platform.context_grounding.context_grounding_index.ContextGroundingIndex - -# Retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Asynchronously retrieves a Batch Transform task status. -sdk.context_grounding.retrieve_batch_transform_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformResponse - -# Retrieve context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieve asynchronously context grounding index information by its ID. -sdk.context_grounding.retrieve_by_id_async(id: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.Any - -# Retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Asynchronously retrieves a Deep RAG task. -sdk.context_grounding.retrieve_deep_rag_async(id: str, index_name: str | None=None) -> uipath.platform.context_grounding.context_grounding.DeepRagResponse - -# Search for contextual information within a specific index. -sdk.context_grounding.search(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Search asynchronously for contextual information within a specific index. -sdk.context_grounding.search_async(name: str, query: str, number_of_results: int=10, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[uipath.platform.context_grounding.context_grounding.ContextGroundingQueryResponse] - -# Starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, target_file_name: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_name: str | None=None, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None, folder_key: str | None=None, folder_path: str | None=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Asynchronously starts a Batch Transform, task on the targeted index. -sdk.context_grounding.start_batch_transform_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], output_columns: list[uipath.platform.context_grounding.context_grounding.BatchTransformOutputColumn], storage_bucket_folder_path_prefix: Annotated[str | None, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]=None, enable_web_search_grounding: bool=False, index_id: Optional[Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=512)])]]=None) -> uipath.platform.context_grounding.context_grounding.BatchTransformCreationResponse - -# Starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -# Asynchronously starts a Deep RAG task on the targeted index. -sdk.context_grounding.start_deep_rag_ephemeral_async(name: str, prompt: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[MaxLen(max_length=250000)])], glob_pattern: Annotated[str, FieldInfo(annotation=NoneType, required=False, default='*', metadata=[MaxLen(max_length=512)])]="**", citation_mode: uipath.platform.context_grounding.context_grounding.DeepRagCreationResponse - -``` - -### Conversational - -Conversational service - -```python -# Access conversational service methods -service = sdk.conversational - -``` - -### Documents - -Documents service - -```python -# Classify a document using a DU Modern project. -sdk.documents.classify(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronously version of the [`classify`][uipath.platform.documents._documents_service.DocumentsService.classify] method. -sdk.documents.classify_async(project_type: typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Create a validate classification action for a document based on the classification results. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-classifications). -sdk.documents.create_validate_classification_action(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_classification_action] method. -sdk.documents.create_validate_classification_action_async(classification_results: List[uipath.platform.documents.documents.ClassificationResult], action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateClassificationAction - -# Create a validate extraction action for a document based on the extraction response. More details about validation actions can be found in the [official documentation](https://docs.uipath.com/ixp/automation-cloud/latest/user-guide/validating-extractions). -sdk.documents.create_validate_extraction_action(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`create_validation_action`][uipath.platform.documents._documents_service.DocumentsService.create_validate_extraction_action] method. -sdk.documents.create_validate_extraction_action_async(extraction_response: uipath.platform.documents.documents.ExtractionResponse, action_title: str, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_catalog: Optional[str]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Extract predicted data from a document using an DU Modern/IXP project. -sdk.documents.extract(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronously version of the [`extract`][uipath.platform.documents._documents_service.DocumentsService.extract] method. -sdk.documents.extract_async(tag: Optional[str]=None, version: Optional[int]=None, project_name: Optional[str]=None, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None, classification_result: Optional[uipath.platform.documents.documents.ClassificationResult]=None, project_type: Optional[uipath.platform.documents.documents.ProjectType]=None, document_type_name: Optional[str]=None) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Get the result of a validate classification action. -sdk.documents.get_validate_classification_result(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_classification_result] method. -sdk.documents.get_validate_classification_result_async(validation_action: uipath.platform.documents.documents.ValidateClassificationAction) -> typing.List[uipath.platform.documents.documents.ClassificationResult] - -# Get the result of a validate extraction action. -sdk.documents.get_validate_extraction_result(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Asynchronous version of the [`get_validation_result`][uipath.platform.documents._documents_service.DocumentsService.get_validate_extraction_result] method. -sdk.documents.get_validate_extraction_result_async(validation_action: uipath.platform.documents.documents.ValidateExtractionAction) -> typing.Union[uipath.platform.documents.documents.ExtractionResponse, uipath.platform.documents.documents.ExtractionResponseIXP] - -# Retrieve the result of an IXP extraction operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Asynchronous version of the [`retrieve_ixp_extraction_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_result] method. -sdk.documents.retrieve_ixp_extraction_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ExtractionResponseIXP - -# Retrieve the result of an IXP create validate extraction action operation (single-shot, non-blocking). -sdk.documents.retrieve_ixp_extraction_validation_result(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Asynchronous version of the [`retrieve_ixp_extraction_validation_result`][uipath.platform.documents._documents_service.DocumentsService.retrieve_ixp_extraction_validation_result] method. -sdk.documents.retrieve_ixp_extraction_validation_result_async(project_id: str, tag: str, operation_id: str) -> uipath.platform.documents.documents.ValidateExtractionAction - -# Start an IXP extraction process without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Asynchronous version of the [`start_ixp_extraction`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction] method. -sdk.documents.start_ixp_extraction_async(project_name: str, tag: str, file: Union[IO[bytes], bytes, str, NoneType]=None, file_path: Optional[str]=None) -> uipath.platform.documents.documents.StartExtractionResponse - -# Start an IXP extraction validation action without waiting for results (non-blocking). -sdk.documents.start_ixp_extraction_validation(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -# Asynchronous version of the [`start_ixp_extraction_validation`][uipath.platform.documents._documents_service.DocumentsService.start_ixp_extraction_validation] method. -sdk.documents.start_ixp_extraction_validation_async(extraction_response: uipath.platform.documents.documents.ExtractionResponseIXP, action_title: str, action_catalog: Optional[str]=None, action_priority: Optional[uipath.platform.documents.documents.ActionPriority]=None, action_folder: Optional[str]=None, storage_bucket_name: Optional[str]=None, storage_bucket_directory_path: Optional[str]=None) -> uipath.platform.documents.documents.StartOperationResponse - -``` - -### Entities - -Entities service - -```python -# Delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously delete multiple records from an entity in a single batch operation. -sdk.entities.delete_records_async(entity_key: str, record_ids: List[str]) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously insert multiple records into an entity in a single batch operation. -sdk.entities.insert_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# List all entities in Data Service. -sdk.entities.list_entities() -> typing.List[uipath.platform.entities.entities.Entity] - -# Asynchronously list all entities in the Data Service. -sdk.entities.list_entities_async() -> typing.List[uipath.platform.entities.entities.Entity] - -# List records from an entity with optional pagination and schema validation. -sdk.entities.list_records(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Asynchronously list records from an entity with optional pagination and schema validation. -sdk.entities.list_records_async(entity_key: str, schema: Optional[Type[Any]]=None, start: Optional[int]=None, limit: Optional[int]=None) -> typing.List[uipath.platform.entities.entities.EntityRecord] - -# Retrieve an entity by its key. -sdk.entities.retrieve(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Asynchronously retrieve an entity by its key. -sdk.entities.retrieve_async(entity_key: str) -> uipath.platform.entities.entities.Entity - -# Update multiple records in an entity in a single batch operation. -sdk.entities.update_records(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -# Asynchronously update multiple records in an entity in a single batch operation. -sdk.entities.update_records_async(entity_key: str, records: List[Any], schema: Optional[Type[Any]]=None) -> uipath.platform.entities.entities.EntityRecordsBatchResponse - -``` - -### Folders - -Folders service - -```python -# Retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Asynchronously retrieve the personal workspace folder for the current user. -sdk.folders.get_personal_workspace_async() -> uipath.platform.orchestrator.folder.PersonalWorkspace - -# Resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key(folder_path: str | None) -> str | None - -# Asynchronously resolve a folder path to its corresponding folder key. -sdk.folders.retrieve_folder_key_async(folder_path: str | None) -> str | None - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key(folder_path: str) -> typing.Optional[str] - -# Retrieve the folder key by folder path with pagination support. -sdk.folders.retrieve_key_async(folder_path: str) -> typing.Optional[str] - -``` - -### Guardrails - -Guardrails service - -```python -# Validate input text using the provided guardrail. -sdk.guardrails.evaluate_guardrail(input_data: str | dict[str, Any], guardrail: uipath.platform.guardrails.guardrails.BuiltInValidatorGuardrail) -> uipath.core.guardrails.guardrails.GuardrailValidationResult - -``` - -### Jobs - -Jobs service - -```python -# Create and upload an attachment, optionally linking it to a job. -sdk.jobs.create_attachment(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Create and upload an attachment asynchronously, optionally linking it to a job. -sdk.jobs.create_attachment_async(name: str, content: Union[str, bytes, NoneType]=None, source_path: Union[str, pathlib.Path, NoneType]=None, job_key: Union[str, uuid.UUID, NoneType]=None, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> uuid.UUID - -# Check if job exists. -sdk.jobs.exists(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Async version of exists(). -sdk.jobs.exists_async(job_key: str, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> bool - -# Get the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Asynchronously fetch the actual output data, downloading from attachment if necessary. -sdk.jobs.extract_output_async(job: uipath.platform.orchestrator.job.Job) -> typing.Optional[str] - -# Link an attachment to a job. -sdk.jobs.link_attachment(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# Link an attachment to a job asynchronously. -sdk.jobs.link_attachment_async(attachment_key: uuid.UUID, job_key: uuid.UUID, category: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None) - -# List jobs using OData API with offset-based pagination. -sdk.jobs.list(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# Async version of list() with offset-based pagination. -sdk.jobs.list_async(folder_path: Optional[str]=None, folder_key: Optional[str]=None, filter: Optional[str]=None, orderby: Optional[str]=None, skip: int=0, top: int=100) -> uipath.platform.common.paging.PagedResult[uipath.platform.orchestrator.job.Job] - -# List attachments associated with a specific job. -sdk.jobs.list_attachments(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# List attachments associated with a specific job asynchronously. -sdk.jobs.list_attachments_async(job_key: uuid.UUID, folder_key: Optional[str]=None, folder_path: Optional[str]=None) -> typing.List[str] - -# Restart a completed or failed job. -sdk.jobs.restart(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Async version of restart(). -sdk.jobs.restart_async(job_key: str, folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> uipath.platform.orchestrator.job.Job - -# Sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Asynchronously sends a payload to resume a paused job waiting for input, identified by its inbox ID. -sdk.jobs.resume_async(inbox_id: Optional[str]=None, job_id: Optional[str]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, payload: Any) -> None - -# Retrieve a job identified by its key. -sdk.jobs.retrieve(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload(inbox_id: str) -> typing.Any - -# Asynchronously fetch payload data for API triggers. -sdk.jobs.retrieve_api_payload_async(inbox_id: str) -> typing.Any - -# Asynchronously retrieve a job identified by its key. -sdk.jobs.retrieve_async(job_key: str, folder_key: str | None=None, folder_path: str | None=None, process_name: str | None=None) -> uipath.platform.orchestrator.job.Job - -# Stop one or more jobs with specified strategy. -sdk.jobs.stop(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -# Async version of stop(). -sdk.jobs.stop_async(job_keys: List[str], strategy: str="SoftStop", folder_path: Optional[str]=None, folder_key: Optional[str]=None) -> None - -``` - -### Llm - -Llm service - -```python -# Generate chat completions using UiPath's normalized LLM Gateway API. -sdk.llm.chat_completions(messages: list[dict[str, str]] | list[tuple[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, n: int=1, frequency_penalty: float=0, presence_penalty: float=0, top_p: float | None=1, top_k: int | None=None, tools: list[uipath.platform.chat.llm_gateway.ToolDefinition] | None=None, tool_choice: Union[uipath.platform.chat.llm_gateway.AutoToolChoice, uipath.platform.chat.llm_gateway.RequiredToolChoice, uipath.platform.chat.llm_gateway.SpecificToolChoice, Literal['auto', 'none'], NoneType]=None, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-08-01-preview") - -``` - -### Llm Openai - -Llm Openai service - -```python -# Generate chat completions using UiPath's LLM Gateway service. -sdk.llm_openai.chat_completions(messages: list[dict[str, str]], model: str="gpt-4.1-mini-2025-04-14", max_tokens: int=4096, temperature: float=0, response_format: dict[str, Any] | type[pydantic.main.BaseModel] | None=None, api_version: str="2024-10-21") - -# Generate text embeddings using UiPath's LLM Gateway service. -sdk.llm_openai.embeddings(input: str, embedding_model: str="text-embedding-ada-002", openai_api_version: str="2024-10-21") - -``` - -### Mcp - -Mcp service - -```python -# List all MCP servers. -sdk.mcp.list(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Asynchronously list all MCP servers. -sdk.mcp.list_async(folder_path: str | None=None) -> typing.List[uipath.platform.orchestrator.mcp.McpServer] - -# Retrieve a specific MCP server by its slug. -sdk.mcp.retrieve(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -# Asynchronously retrieve a specific MCP server by its slug. -sdk.mcp.retrieve_async(slug: str, folder_path: str | None=None) -> uipath.platform.orchestrator.mcp.McpServer - -``` - -### Processes - -Processes service - -```python -# Start execution of a process by its name. -sdk.processes.invoke(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -# Asynchronously start execution of a process by its name. -sdk.processes.invoke_async(name: str, input_arguments: Optional[Dict[str, Any]]=None, folder_key: Optional[str]=None, folder_path: Optional[str]=None, attachments: Optional[list[uipath.platform.attachments.attachments.Attachment]]=None) -> uipath.platform.orchestrator.job.Job - -``` - -### Queues - -Queues service - -```python -# Completes a transaction item with the specified result. -sdk.queues.complete_transaction_item(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Asynchronously completes a transaction item with the specified result. -sdk.queues.complete_transaction_item_async(transaction_key: str, result: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItemResult]) -> httpx.Response - -# Creates a new queue item in the Orchestrator. -sdk.queues.create_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Asynchronously creates a new queue item in the Orchestrator. -sdk.queues.create_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]) -> httpx.Response - -# Creates multiple queue items in bulk. -sdk.queues.create_items(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Asynchronously creates multiple queue items in bulk. -sdk.queues.create_items_async(items: List[Union[Dict[str, Any], uipath.platform.orchestrator.queues.QueueItem]], queue_name: str, commit_type: httpx.Response - -# Creates a new transaction item in a queue. -sdk.queues.create_transaction_item(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Asynchronously creates a new transaction item in a queue. -sdk.queues.create_transaction_item_async(item: Union[Dict[str, Any], uipath.platform.orchestrator.queues.TransactionItem], no_robot: bool=False) -> httpx.Response - -# Retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items() -> httpx.Response - -# Asynchronously retrieves a list of queue items from the Orchestrator. -sdk.queues.list_items_async() -> httpx.Response - -# Updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item(transaction_key: str, progress: str) -> httpx.Response - -# Asynchronously updates the progress of a transaction item. -sdk.queues.update_progress_of_transaction_item_async(transaction_key: str, progress: str) -> httpx.Response - -``` - -### Resource Catalog - -Resource Catalog service - -```python -# Get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.list_async(resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, folder_path: Optional[str]=None, folder_key: Optional[str]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type(resource_type: typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously get resources of a specific type (tenant scoped or folder scoped). -sdk.resource_catalog.list_by_type_async(resource_type: typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.Iterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -# Asynchronously search for tenant scoped resources and folder scoped resources (accessible to the user). -sdk.resource_catalog.search_async(name: Optional[str]=None, resource_types: Optional[List[uipath.platform.resource_catalog.resource_catalog.ResourceType]]=None, resource_sub_types: Optional[List[str]]=None, page_size: int=20) -> typing.AsyncIterator[uipath.platform.resource_catalog.resource_catalog.Resource] - -``` - -### Tasks - -Tasks service - -```python -# Creates a new task synchronously. -sdk.tasks.create(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Creates a new action asynchronously. -sdk.tasks.create_async(title: str, data: Optional[Dict[str, Any]]=None, app_name: Optional[str]=None, app_key: Optional[str]=None, app_folder_path: Optional[str]=None, app_folder_key: Optional[str]=None, assignee: Optional[str]=None, recipient: Optional[uipath.platform.action_center.tasks.TaskRecipient]=None, priority: Optional[str]=None, labels: Optional[List[str]]=None, is_actionable_message_enabled: Optional[bool]=None, actionable_message_metadata: Optional[Dict[str, Any]]=None, source_name: str="Agent") -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key synchronously. -sdk.tasks.retrieve(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -# Retrieves a task by its key asynchronously. -sdk.tasks.retrieve_async(action_key: str, app_folder_path: str="", app_folder_key: str="", app_name: str | None=None) -> uipath.platform.action_center.tasks.Task - -``` - diff --git a/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/eval.md b/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/eval.md deleted file mode 100644 index 15fa04f7..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/eval.md +++ /dev/null @@ -1,287 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create and run agent evaluations ---- - -I'll help you create and run evaluations for your UiPath agent. - -## Step 1: Check project setup - -Let me check your project structure: - -!ls -la evaluations/ entry-points.json 2>/dev/null || echo "NEEDS_SETUP" - -# Check if schemas might be stale (main.py newer than entry-points.json) -!if [ -f main.py ] && [ -f entry-points.json ] && [ main.py -nt entry-points.json ]; then echo "SCHEMAS_MAY_BE_STALE"; fi - -### If NEEDS_SETUP - -If `entry-points.json` doesn't exist, initialize the project first: - -!uv run uipath init - -Then re-run this skill. - -### If SCHEMAS_MAY_BE_STALE - -Your `main.py` is newer than `entry-points.json`. Refresh schemas: - -!uv run uipath init --no-agents-md-override - -## Step 2: What would you like to do? - -1. **Create new eval set** - Set up evaluations from scratch -2. **Add test case** - Add a test to existing eval set -3. **Run evaluations** - Execute tests and see results -4. **Analyze failures** - Debug failing tests - ---- - -## Creating an Eval Set - -First, create the directory structure: - -!mkdir -p evaluations/eval-sets evaluations/evaluators - -Read the agent's Input/Output schema from entry-points.json to understand the data types. - -### Evaluator Selection Guide - -| If your output is... | Use this evaluator | evaluatorTypeId | -|---------------------|-------------------|-----------------| -| Exact string/number | `ExactMatchEvaluator` | `uipath-exact-match` | -| Contains key phrases | `ContainsEvaluator` | `uipath-contains` | -| Semantically correct | `LLMJudgeOutputEvaluator` | `uipath-llm-judge-output-semantic-similarity` | -| JSON with numbers | `JsonSimilarityEvaluator` | `uipath-json-similarity` | - -### Step 1: Create Evaluator Config Files - -**Each evaluator needs a JSON config file** in `evaluations/evaluators/`. - -**ExactMatchEvaluator** (`evaluations/evaluators/exact-match.json`): -```json -{ - "version": "1.0", - "id": "ExactMatchEvaluator", - "name": "ExactMatchEvaluator", - "description": "Checks for exact output match", - "evaluatorTypeId": "uipath-exact-match", - "evaluatorConfig": { - "name": "ExactMatchEvaluator", - "targetOutputKey": "*" - } -} -``` - -**LLMJudgeOutputEvaluator** (`evaluations/evaluators/llm-judge-output.json`): -```json -{ - "version": "1.0", - "id": "LLMJudgeOutputEvaluator", - "name": "LLMJudgeOutputEvaluator", - "description": "Uses LLM to judge semantic similarity", - "evaluatorTypeId": "uipath-llm-judge-output-semantic-similarity", - "evaluatorConfig": { - "name": "LLMJudgeOutputEvaluator", - "model": "gpt-4o-mini-2024-07-18" - } -} -``` - -**JsonSimilarityEvaluator** (`evaluations/evaluators/json-similarity.json`): -```json -{ - "version": "1.0", - "id": "JsonSimilarityEvaluator", - "name": "JsonSimilarityEvaluator", - "description": "Compares JSON structures", - "evaluatorTypeId": "uipath-json-similarity", - "evaluatorConfig": { - "name": "JsonSimilarityEvaluator", - "targetOutputKey": "*" - } -} -``` - -**ContainsEvaluator** (`evaluations/evaluators/contains.json`): -```json -{ - "version": "1.0", - "id": "ContainsEvaluator", - "name": "ContainsEvaluator", - "description": "Checks if output contains text", - "evaluatorTypeId": "uipath-contains", - "evaluatorConfig": { - "name": "ContainsEvaluator" - } -} -``` - -### Step 2: Create Eval Set - -**Eval Set Template** (`evaluations/eval-sets/default.json`): -```json -{ - "version": "1.0", - "id": "default-eval-set", - "name": "Default Evaluation Set", - "evaluatorRefs": ["ExactMatchEvaluator"], - "evaluations": [ - { - "id": "test-1", - "name": "Test description", - "inputs": { - "field": "value" - }, - "evaluationCriterias": { - "ExactMatchEvaluator": { - "expectedOutput": { - "result": "expected value" - } - } - } - } - ] -} -``` - -**Important notes:** -- `evaluatorRefs` must list ALL evaluators used in any test case -- Each evaluator in `evaluatorRefs` needs a matching JSON config in `evaluations/evaluators/` -- `evaluationCriterias` keys must match entries in `evaluatorRefs` -- Use `expectedOutput` for most evaluators -- LLM evaluators need `model` in their config. Available models are defined in the SDK's `ChatModels` class (`uipath.platform.chat.ChatModels`): - - `gpt-4o-mini-2024-07-18` (recommended for cost-efficiency) - - `gpt-4o-2024-08-06` (higher quality, higher cost) - - `o3-mini-2025-01-31` (latest reasoning model) - - Model availability varies by region and tenant configuration - - Check your UiPath Automation Cloud portal under AI Trust Layer for available models in your region - ---- - -## Adding a Test Case - -When adding a test to an existing eval set: - -1. Read the existing eval set -2. Check which evaluators are in `evaluatorRefs` -3. Add the new test to `evaluations` array -4. If using a new evaluator, add it to `evaluatorRefs` - -### Test Case Template - -```json -{ - "id": "test-{n}", - "name": "Description of what this tests", - "inputs": { }, - "evaluationCriterias": { - "EvaluatorName": { - "expectedOutput": { } - } - } -} -``` - ---- - -## Running Evaluations - -First, read entry-points.json to get the entrypoint name (e.g., `main`): - -!uv run uipath eval main evaluations/eval-sets/default.json --output-file eval-results.json - -**Note:** Replace `main` with your actual entrypoint from entry-points.json. - -### Analyze Results - -After running, read `eval-results.json` and show: -- Pass/fail summary table -- For failures: expected vs actual output -- Suggestions for fixing or changing evaluators - -### Results Format - -```json -{ - "evaluationSetResults": [{ - "evaluationRunResults": [ - { - "evaluationId": "test-1", - "evaluatorId": "ExactMatchEvaluator", - "result": { "score": 1.0 }, - "errorMessage": null - } - ] - }] -} -``` - -- Score 1.0 = PASS -- Score < 1.0 = FAIL (show expected vs actual) -- errorMessage present = ERROR (show message) - ---- - -## Evaluator Reference - -### Deterministic Evaluators - -**ExactMatchEvaluator** - Exact output matching -```json -"ExactMatchEvaluator": { - "expectedOutput": { "result": "exact value" } -} -``` - -**ContainsEvaluator** - Output contains substring -```json -"ContainsEvaluator": { - "searchText": "must contain this" -} -``` - -**JsonSimilarityEvaluator** - JSON comparison with tolerance -```json -"JsonSimilarityEvaluator": { - "expectedOutput": { "value": 10.0 } -} -``` - -### LLM-Based Evaluators - -**LLMJudgeOutputEvaluator** - Semantic correctness -```json -"LLMJudgeOutputEvaluator": { - "expectedOutput": { "summary": "Expected semantic meaning" } -} -``` - -**LLMJudgeTrajectoryEvaluator** - Validate agent reasoning -```json -"LLMJudgeTrajectoryEvaluator": { - "expectedAgentBehavior": "The agent should first fetch data, then process it" -} -``` - ---- - -## Common Issues - -### "No evaluations found" -- Check `evaluations/eval-sets/` directory exists -- Verify JSON file is valid - -### Evaluator not found -- Each evaluator needs a JSON config file in `evaluations/evaluators/` -- Config file must have correct `evaluatorTypeId` (see templates above) -- Config file must have `name` field at root level -- LLM evaluators need `model` in `evaluatorConfig` - -### Evaluator skipped -- Ensure evaluator is listed in root `evaluatorRefs` array -- Check evaluator config file exists in `evaluations/evaluators/` - -### Schema mismatch -- Run `uv run uipath init --no-agents-md-override` to refresh schemas -- Check `entry-points.json` matches your Input/Output models diff --git a/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/new-agent.md b/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/new-agent.md deleted file mode 100644 index b1d05186..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/.claude/commands/new-agent.md +++ /dev/null @@ -1,103 +0,0 @@ ---- -allowed-tools: Bash, Read, Write, Edit, Glob -description: Create a new UiPath coded agent from a description ---- - -I'll help you create a new UiPath coded agent. - -## Step 1: Check existing project - -Let me check if this is an existing UiPath project: - -!ls uipath.json main.py 2>/dev/null || echo "NEW_PROJECT" - -## Step 2: Gather requirements - -**What should this agent do?** - -Please describe: - -- What inputs it needs (e.g., "a file path and bucket name") -- What it should accomplish (e.g., "process CSV data") -- What outputs it should return (e.g., "total count and status") - -I'll generate the agent structure based on your description. - -## Step 3: Generate agent - -After you describe the agent, I will: - -1. Create `main.py` with Input/Output Pydantic models and `async def main()` -2. Add entrypoint to `uipath.json` under `"functions": {"agent_name": "main.py:main"}` -3. Run `uv run uipath init --no-agents-md-override` to generate schemas - -**Template structure** (from .agent/REQUIRED_STRUCTURE.md): - -```python -from pydantic import BaseModel -from uipath.platform import UiPath - -class Input(BaseModel): - """Input fields for the agent.""" - # Fields based on your description - pass - - -class Output(BaseModel): - """Output fields returned by the agent.""" - # Fields based on your description - pass - - -async def main(input: Input) -> Output: - """Main entry point for the agent. - - Args: - input: The input data for the agent. - - Returns: - The output data from the agent. - """ - - uipath = UiPath() - - # TODO: Implement agent logic - return Output() -``` - -**Important notes:** - -- Use `async def main` - many SDK methods are async -- Initialize `UiPath()` inside the function, not at module level -- After creating main.py, add entrypoint to `uipath.json` under `"functions"` - -## Step 4: Update entry-point schemas - -After creating main.py, regenerate the schemas: - -!uv run uipath init --no-agents-md-override - -## Step 5: Verify - -Quick test to verify the setup: - -!uv run uipath run main '{}' 2>&1 | head -30 - -## Summary - -Once complete, you'll have: - -| File | Purpose | -| ------------------- | ----------------------------------- | -| `main.py` | Agent code with Input/Output models | -| `uipath.json` | Project configuration | -| `entry-points.json` | Entry point schemas | -| `bindings.json` | Resource bindings | -| `.agent/` | SDK and CLI reference docs | - -**Next steps:** - -1. Implement your logic in `main()` -2. Test: `uv run uipath run main '{"field": "value"}'` -3. Create `eval_set.json` for evaluations -4. Evaluate: `uv run uipath eval` diff --git a/packages/uipath-openai-agents/samples/triage-agent/AGENTS.md b/packages/uipath-openai-agents/samples/triage-agent/AGENTS.md deleted file mode 100644 index b83142f0..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/AGENTS.md +++ /dev/null @@ -1,21 +0,0 @@ -# Agent Code Patterns Reference - -This document provides practical code patterns for building UiPath coded agents using the UiPath Python SDK. - ---- - -## Documentation Structure - -This documentation is split into multiple files for efficient context loading. Load only the files you need: - -1. **@.agent/REQUIRED_STRUCTURE.md** - Agent structure patterns and templates - - **When to load:** Creating a new agent or understanding required patterns - - **Contains:** Required Pydantic models (Input, Output), SDK initialization patterns, standard agent template - -2. **@.agent/SDK_REFERENCE.md** - Complete SDK API reference - - **When to load:** Calling UiPath SDK methods, working with services (actions, assets, jobs, etc.) - - **Contains:** All SDK services and methods with full signatures and type annotations - -3. **@.agent/CLI_REFERENCE.md** - CLI commands documentation - - **When to load:** Working with `uipath init`, `uipath run`, or `uipath eval` commands - - **Contains:** Command syntax, options, usage examples, and workflows diff --git a/packages/uipath-openai-agents/samples/triage-agent/CLAUDE.md b/packages/uipath-openai-agents/samples/triage-agent/CLAUDE.md deleted file mode 100644 index eef4bd20..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/CLAUDE.md +++ /dev/null @@ -1 +0,0 @@ -@AGENTS.md \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/triage-agent/bindings.json b/packages/uipath-openai-agents/samples/triage-agent/bindings.json deleted file mode 100644 index 5dd5a0fd..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/bindings.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "version": "2.0", - "resources": [] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/triage-agent/entry-points.json b/packages/uipath-openai-agents/samples/triage-agent/entry-points.json deleted file mode 100644 index 4dfa1264..00000000 --- a/packages/uipath-openai-agents/samples/triage-agent/entry-points.json +++ /dev/null @@ -1,148 +0,0 @@ -{ - "$schema": "https://cloud.uipath.com/draft/2024-12/entry-point", - "$id": "entry-points.json", - "entryPoints": [ - { - "filePath": "agent", - "uniqueId": "fc75c79b-5076-47a0-8d68-744599aafec5", - "type": "agent", - "input": { - "type": "object", - "properties": { - "messages": { - "anyOf": [ - { - "type": "string" - }, - { - "type": "array", - "items": { - "type": "object" - } - } - ], - "title": "Messages", - "description": "User messages to send to the agent" - } - }, - "required": [ - "messages" - ] - }, - "output": { - "type": "object", - "properties": { - "result": { - "title": "Result", - "description": "The agent's response", - "anyOf": [ - { - "type": "string" - }, - { - "type": "object" - }, - { - "type": "array", - "items": { - "type": "object" - } - } - ] - } - }, - "required": [ - "result" - ] - }, - "graph": { - "nodes": [ - { - "id": "__start__", - "name": "__start__", - "type": "__start__", - "subgraph": null, - "metadata": null - }, - { - "id": "triage_agent", - "name": "triage_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "french_agent", - "name": "french_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "spanish_agent", - "name": "spanish_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "english_agent", - "name": "english_agent", - "type": "node", - "subgraph": null, - "metadata": null - }, - { - "id": "__end__", - "name": "__end__", - "type": "__end__", - "subgraph": null, - "metadata": null - } - ], - "edges": [ - { - "source": "triage_agent", - "target": "french_agent", - "label": null - }, - { - "source": "french_agent", - "target": "triage_agent", - "label": null - }, - { - "source": "triage_agent", - "target": "spanish_agent", - "label": null - }, - { - "source": "spanish_agent", - "target": "triage_agent", - "label": null - }, - { - "source": "triage_agent", - "target": "english_agent", - "label": null - }, - { - "source": "english_agent", - "target": "triage_agent", - "label": null - }, - { - "source": "__start__", - "target": "triage_agent", - "label": "input" - }, - { - "source": "triage_agent", - "target": "__end__", - "label": "output" - } - ] - } - } - ] -} \ No newline at end of file diff --git a/packages/uipath-openai-agents/samples/triage-agent/pyproject.toml b/packages/uipath-openai-agents/samples/triage-agent/pyproject.toml index 361d55c5..ed82c69f 100644 --- a/packages/uipath-openai-agents/samples/triage-agent/pyproject.toml +++ b/packages/uipath-openai-agents/samples/triage-agent/pyproject.toml @@ -5,12 +5,12 @@ description = "Language routing agent example using OpenAI Agents" readme = "README.md" requires-python = ">=3.11" dependencies = [ - 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-NOTE: This module uses lazy imports via __getattr__ to avoid loading heavy -dependencies (openai SDK) at import time. This significantly improves CLI -startup performance. - -Do NOT add eager imports like: - from .chat import UiPathChatOpenAI # BAD - loads openai SDK immediately - -Instead, all exports are loaded on-demand when first accessed. """ +from .middlewares import register_middleware -def __getattr__(name): - if name == "UiPathChatOpenAI": - from .chat import UiPathChatOpenAI - - return UiPathChatOpenAI - if name == "register_middleware": - from .middlewares import register_middleware - - return register_middleware - raise AttributeError(f"module {__name__!r} has no attribute {name!r}") - - -__version__ = "0.1.0" -__all__ = ["register_middleware", "UiPathChatOpenAI"] +__all__ = ["register_middleware"] diff --git a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/__init__.py b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/__init__.py index dee77653..bdae18f9 100644 --- a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/__init__.py +++ b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/__init__.py @@ -27,10 +27,6 @@ def create_factory( ) -# Register factory eagerly (required for CLI discovery) -register_runtime_factory() - - __all__ = [ "register_runtime_factory", "get_entrypoints_schema", diff --git a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/_serialize.py b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/_serialize.py deleted file mode 100644 index 3ad7c689..00000000 --- a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/_serialize.py +++ /dev/null @@ -1,51 +0,0 @@ -import dataclasses -from enum import Enum -from typing import Any - - -def serialize_output(output: Any) -> Any: - """ - Recursively serialize an output object. - - Args: - output: The object to serialize - - Returns: - Dict[str, Any]: Serialized output as dictionary - """ - if output is None: - return {} - - # Handle Pydantic models (but not Pydantic model classes) - if hasattr(output, "model_dump") and not isinstance(output, type): - return serialize_output(output.model_dump(by_alias=True)) - elif hasattr(output, "dict") and not isinstance(output, type): - return serialize_output(output.dict()) - elif hasattr(output, "to_dict") and not isinstance(output, type): - return serialize_output(output.to_dict()) - - # Handle dataclasses (but not dataclass types) - elif dataclasses.is_dataclass(output) and not isinstance(output, type): - return serialize_output(dataclasses.asdict(output)) - - # Handle dictionaries - elif isinstance(output, dict): - return {k: serialize_output(v) for k, v in output.items()} - - # Handle lists - elif isinstance(output, list): - return [serialize_output(item) for item in output] - - # Handle other iterables (convert to dict first) - elif hasattr(output, "__iter__") and not isinstance(output, (str, bytes)): - try: - return serialize_output(dict(output)) - except (TypeError, ValueError): - return output - - # Handle Enums - elif isinstance(output, Enum): - return output.value - - # Return primitive types as is - return output diff --git a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/runtime.py b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/runtime.py index 3a06d69a..ffb4f426 100644 --- a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/runtime.py +++ b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/runtime.py @@ -6,6 +6,7 @@ from agents import Agent, Runner from pydantic import BaseModel +from uipath.core.serialization import serialize_defaults from uipath.runtime import ( UiPathExecuteOptions, UiPathRuntimeResult, @@ -20,7 +21,6 @@ ) from uipath.runtime.schema import UiPathRuntimeSchema -from ._serialize import serialize_output from .context import get_agent_context_type, parse_input_to_context from .errors import UiPathOpenAIAgentsErrorCode, UiPathOpenAIAgentsRuntimeError from .schema import get_agent_schema, get_entrypoints_schema @@ -207,12 +207,12 @@ def _convert_stream_event_to_runtime_event( # Determine if this is a message or state event if event_name in ["message_output_created", "reasoning_item_created"]: return UiPathRuntimeMessageEvent( - payload=serialize_output(event_item), + payload=serialize_defaults(event_item), metadata={"event_name": event_name}, ) else: return UiPathRuntimeStateEvent( - payload=serialize_output(event_item), + payload=serialize_defaults(event_item), metadata={"event_name": event_name}, ) @@ -265,7 +265,7 @@ def _serialize_message(self, message: Any) -> dict[str, Any]: Returns: Dictionary representation of the message """ - serialized = serialize_output(message) + serialized = serialize_defaults(message) # Ensure the result is a dictionary if isinstance(serialized, dict): @@ -285,7 +285,7 @@ def _create_success_result(self, output: Any) -> UiPathRuntimeResult: UiPathRuntimeResult with serialized output """ # Serialize output - serialized_output = self._serialize_output(output) + serialized_output = serialize_defaults(output) # Ensure output is a dictionary if not isinstance(serialized_output, dict): @@ -296,18 +296,6 @@ def _create_success_result(self, output: Any) -> UiPathRuntimeResult: status=UiPathRuntimeStatus.SUCCESSFUL, ) - def _serialize_output(self, output: Any) -> Any: - """ - Serialize agent output to a JSON-compatible format. - - Args: - output: Output from the agent - - Returns: - JSON-compatible representation - """ - return serialize_output(output) - def _create_runtime_error(self, e: Exception) -> UiPathOpenAIAgentsRuntimeError: """ Handle execution errors and create appropriate runtime error. diff --git a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/schema.py b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/schema.py index 83295845..eafa0355 100644 --- a/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/schema.py +++ b/packages/uipath-openai-agents/src/uipath_openai_agents/runtime/schema.py @@ -9,6 +9,8 @@ UiPathRuntimeEdge, UiPathRuntimeGraph, UiPathRuntimeNode, + transform_nullable_types, + transform_references, ) from .context import get_agent_context_type @@ -122,10 +124,10 @@ def get_entrypoints_schema(agent: Agent) -> dict[str, Any]: try: adapter = TypeAdapter(context_type) context_schema = adapter.json_schema() - unpacked = _resolve_refs(context_schema) + unpacked, _ = transform_references(context_schema) # Merge context properties with messages - context_props = _process_nullable_types(unpacked.get("properties", {})) + context_props = transform_nullable_types(unpacked.get("properties", {})) input_properties.update(context_props) # Add context required fields (messages is already required) @@ -155,8 +157,8 @@ def get_entrypoints_schema(agent: Agent) -> dict[str, Any]: output_schema = adapter.json_schema() # Resolve references and handle nullable types - unpacked_output = _resolve_refs(output_schema) - schema["output"]["properties"] = _process_nullable_types( + unpacked_output, _ = transform_references(output_schema) + schema["output"]["properties"] = transform_nullable_types( unpacked_output.get("properties", {}) ) schema["output"]["required"] = unpacked_output.get("required", []) @@ -420,92 +422,6 @@ def _get_tool_name(tool: Any) -> str | None: return None -def _resolve_refs( - schema: dict[str, Any], - root: dict[str, Any] | None = None, - visited: set[str] | None = None, -) -> dict[str, Any]: - """ - Recursively resolves $ref references in a JSON schema. - - Args: - schema: The schema dictionary to resolve - root: The root schema for reference resolution - visited: Set of visited references to detect circular dependencies - - Returns: - Resolved schema dictionary - """ - if root is None: - root = schema - - if visited is None: - visited = set() - - if isinstance(schema, dict): - if "$ref" in schema: - ref_path = schema["$ref"] - - if ref_path in visited: - # Circular dependency detected - return { - "type": "object", - "description": f"Circular reference to {ref_path}", - } - - visited.add(ref_path) - - # Resolve the reference - handle both #/definitions/ and #/$defs/ formats - ref_parts = ref_path.lstrip("#/").split("/") - ref_schema = root - for part in ref_parts: - ref_schema = ref_schema.get(part, {}) - - result = _resolve_refs(ref_schema, root, visited) - - # Remove from visited after resolution - visited.discard(ref_path) - - return result - - return {k: _resolve_refs(v, root, visited) for k, v in schema.items()} - - elif isinstance(schema, list): - return [_resolve_refs(item, root, visited) for item in schema] - - return schema - - -def _process_nullable_types(properties: dict[str, Any]) -> dict[str, Any]: - """ - Process properties to handle nullable types correctly. - - This matches the original implementation that adds "nullable": True - instead of simplifying the schema structure. - - Args: - properties: The properties dictionary from a schema - - Returns: - Processed properties with nullable types marked - """ - result = {} - for name, prop in properties.items(): - if "anyOf" in prop: - types = [item.get("type") for item in prop["anyOf"] if "type" in item] - if "null" in types: - non_null_types = [t for t in types if t != "null"] - if len(non_null_types) == 1: - result[name] = {"type": non_null_types[0], "nullable": True} - else: - result[name] = {"type": non_null_types, "nullable": True} - else: - result[name] = prop - else: - result[name] = prop - return result - - __all__ = [ "get_entrypoints_schema", "get_agent_schema", diff --git a/packages/uipath-openai-agents/tests/test_serialization.py b/packages/uipath-openai-agents/tests/test_serialization.py deleted file mode 100644 index 095a2786..00000000 --- a/packages/uipath-openai-agents/tests/test_serialization.py +++ /dev/null @@ -1,285 +0,0 @@ -"""Tests for serialization module.""" - -import dataclasses -from enum import Enum -from typing import Any - -from pydantic import BaseModel - -from uipath_openai_agents.runtime._serialize import serialize_output - - -class SampleEnum(Enum): - """Sample enum for testing.""" - - OPTION_A = "option_a" - OPTION_B = "option_b" - - -class PydanticModel(BaseModel): - """Sample Pydantic model.""" - - name: str - value: int - active: bool = True - - -@dataclasses.dataclass -class DataclassModel: - """Sample dataclass model.""" - - id: str - count: int - metadata: dict[str, Any] | None = None - - -class TestSerializeOutput: - """Tests for serialize_output function.""" - - def test_serialize_none(self): - """Test serializing None returns empty dict.""" - result = serialize_output(None) - assert result == {} - - def test_serialize_primitive_string(self): - """Test serializing string returns string.""" - result = serialize_output("test string") - assert result == "test string" - - def test_serialize_primitive_int(self): - """Test serializing int returns int.""" - result = serialize_output(42) - assert result == 42 - - def test_serialize_primitive_float(self): - """Test serializing float returns float.""" - result = serialize_output(3.14) - assert result == 3.14 - - def test_serialize_primitive_bool(self): - """Test serializing bool returns bool.""" - result = serialize_output(True) - assert result is True - - def test_serialize_simple_dict(self): - """Test serializing simple dictionary.""" - data = {"name": "Alice", "age": 30, "active": True} - result = serialize_output(data) - assert result == data - - def test_serialize_nested_dict(self): - """Test serializing nested dictionary.""" - data = { - "user": {"name": "Bob", "email": "bob@example.com"}, - "settings": {"theme": "dark", "notifications": True}, - } - result = serialize_output(data) - assert result == data - - def test_serialize_simple_list(self): - """Test serializing simple list.""" - data = [1, 2, 3, 4, 5] - result = serialize_output(data) - assert result == data - - def test_serialize_list_of_dicts(self): - """Test serializing list of dictionaries.""" - data = [ - {"id": 1, "name": "Item 1"}, - {"id": 2, "name": "Item 2"}, - {"id": 3, "name": "Item 3"}, - ] - result = serialize_output(data) - assert result == data - - def test_serialize_pydantic_model(self): - """Test serializing Pydantic model.""" - model = PydanticModel(name="TestModel", value=100) - result = serialize_output(model) - - assert isinstance(result, dict) - assert result["name"] == "TestModel" - assert result["value"] == 100 - assert result["active"] is True # default value - - def test_serialize_pydantic_model_with_nested(self): - """Test serializing Pydantic model with nested data.""" - - class NestedModel(BaseModel): - items: list[str] - count: int - - class ParentModel(BaseModel): - name: str - nested: NestedModel - - model = ParentModel( - name="Parent", nested=NestedModel(items=["a", "b"], count=2) - ) - result = serialize_output(model) - - assert isinstance(result, dict) - assert result["name"] == "Parent" - assert isinstance(result["nested"], dict) - assert result["nested"]["items"] == ["a", "b"] - assert result["nested"]["count"] == 2 - - def test_serialize_dataclass(self): - """Test serializing dataclass.""" - obj = DataclassModel(id="test-123", count=5, metadata={"key": "value"}) - result = serialize_output(obj) - - assert isinstance(result, dict) - assert result["id"] == "test-123" - assert result["count"] == 5 - assert result["metadata"] == {"key": "value"} - - def test_serialize_dataclass_without_optional(self): - """Test serializing dataclass without optional field.""" - obj = DataclassModel(id="test-456", count=10) - result = serialize_output(obj) - - assert isinstance(result, dict) - assert result["id"] == "test-456" - assert result["count"] == 10 - # None values are recursively converted to {} - assert result["metadata"] == {} - - def test_serialize_enum(self): - """Test serializing enum.""" - result = serialize_output(SampleEnum.OPTION_A) - assert result == "option_a" - - def test_serialize_dict_with_enum_values(self): - """Test serializing dict with enum values.""" - data = {"status": SampleEnum.OPTION_B, "count": 5} - result = serialize_output(data) - - assert result["status"] == "option_b" - assert result["count"] == 5 - - def test_serialize_complex_nested_structure(self): - """Test serializing complex nested structure.""" - model = PydanticModel(name="Complex", value=999) - dataclass_obj = DataclassModel(id="dc-1", count=3) - - data = { - "models": [model, PydanticModel(name="Another", value=42)], - "dataclass": dataclass_obj, - "enum_value": SampleEnum.OPTION_A, - "nested": { - "list": [1, 2, 3], - "dict": {"key": "value"}, - }, - "primitives": {"str": "text", "int": 123, "bool": False}, - } - - result = serialize_output(data) - - # Verify structure - assert isinstance(result, dict) - assert len(result["models"]) == 2 - assert result["models"][0]["name"] == "Complex" - assert result["models"][0]["value"] == 999 - assert result["dataclass"]["id"] == "dc-1" - assert result["enum_value"] == "option_a" - assert result["nested"]["list"] == [1, 2, 3] - assert result["primitives"]["str"] == "text" - - def test_serialize_empty_structures(self): - """Test serializing empty structures.""" - empty_dict: dict[str, str] = {} - empty_list: list[int] = [] - - assert serialize_output(empty_dict) == {} - assert serialize_output(empty_list) == [] - - def test_serialize_dict_with_none_values(self): - """Test serializing dict with None values.""" - data = {"key1": "value1", "key2": None, "key3": 0} - result = serialize_output(data) - - # None values are recursively converted to {} - assert result["key1"] == "value1" - assert result["key2"] == {} - assert result["key3"] == 0 - - def test_serialize_list_with_mixed_types(self): - """Test serializing list with mixed types.""" - data = [ - "string", - 123, - True, - {"nested": "dict"}, - PydanticModel(name="Model", value=50), - None, - ] - - result = serialize_output(data) - - assert isinstance(result, list) - assert result[0] == "string" - assert result[1] == 123 - assert result[2] is True - assert result[3] == {"nested": "dict"} - assert isinstance(result[4], dict) - assert result[4]["name"] == "Model" - # None values are recursively converted to {} - assert result[5] == {} - - def test_serialize_dict_with_numeric_keys_as_strings(self): - """Test that numeric keys are preserved.""" - data = {"1": "one", "2": "two", "3": "three"} - result = serialize_output(data) - assert result == data - - def test_serialize_unicode_strings(self): - """Test serializing unicode strings.""" - data = {"chinese": "你好", "emoji": "😀🎉", "arabic": "مرحبا"} - result = serialize_output(data) - assert result == data - - def test_serialize_bytes_as_is(self): - """Test that bytes are returned as is (not iterated).""" - data = b"binary data" - result = serialize_output(data) - assert result == data - - def test_serialize_pydantic_with_field_alias(self): - """Test serializing Pydantic model with field aliases.""" - - class AliasModel(BaseModel): - internal_name: str - - class Config: - fields = {"internal_name": {"alias": "externalName"}} - - model = AliasModel(internal_name="test") - result = serialize_output(model) - - # Should use alias in serialization - assert isinstance(result, dict) - # Note: behavior depends on model_dump(by_alias=True) - - def test_serialize_pydantic_model_class(self): - """Test that Pydantic model classes (not instances) are handled safely.""" - # This should not raise TypeError about missing 'self' - result = serialize_output(PydanticModel) - # Model classes should be returned as-is (not serialized) - assert result == PydanticModel - - def test_serialize_dict_containing_model_class(self): - """Test serializing dict that contains a Pydantic model class.""" - data = { - "model_class": PydanticModel, - "instance": PydanticModel(name="test", value=42), - "other": "data", - } - result = serialize_output(data) - - # Model class should be returned as-is - assert result["model_class"] == PydanticModel - # Instance should be serialized - assert result["instance"] == {"name": "test", "value": 42, "active": True} - # Other data should pass through - assert result["other"] == "data" diff --git a/packages/uipath-openai-agents/uv.lock b/packages/uipath-openai-agents/uv.lock index 8f4ab4e9..9320a330 100644 --- a/packages/uipath-openai-agents/uv.lock +++ b/packages/uipath-openai-agents/uv.lock @@ -654,11 +654,11 @@ wheels = [ [[package]] name = "graphtty" -version = "0.1.6" +version = "0.1.8" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/8e/06/96130c4d3e2cdaf965f1060143bea276905b7050adf324a00ed705a84617/graphtty-0.1.6.tar.gz", hash = "sha256:1d989baf901d2bfe125f1e2aee730fd4b143c0dd4b4640fef9dcf42535430386", size = 549561, upload-time = "2026-02-09T13:20:16.293Z" } +sdist = { url = "https://files.pythonhosted.org/packages/9e/b3/0756e1b1e46b61a4db4a463a76ca113e62113742f97ac6cf383dd05d6a97/graphtty-0.1.8.tar.gz", hash = "sha256:069cd84764cc64d414928451071fc9c97c05becbf564c2f0278691a6451a8240", size = 638011, upload-time = "2026-02-15T12:47:17.994Z" } wheels = [ - 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