diff --git a/docsite/package-lock.json b/docsite/package-lock.json index f6acb13..f562e7a 100644 --- a/docsite/package-lock.json +++ b/docsite/package-lock.json @@ -5886,9 +5886,9 @@ } }, "node_modules/brace-expansion": { - "version": "1.1.12", - "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.12.tgz", - "integrity": "sha512-9T9UjW3r0UW5c1Q7GTwllptXwhvYmEzFhzMfZ9H7FQWt+uZePjZPjBP/W1ZEyZ1twGWom5/56TF4lPcqjnDHcg==", + "version": "1.1.13", + "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-1.1.13.tgz", + "integrity": "sha512-9ZLprWS6EENmhEOpjCYW2c8VkmOvckIJZfkr7rBW6dObmfgJ/L1GpSYW5Hpo9lDz4D1+n0Ckz8rU7FwHDQiG/w==", "license": "MIT", "dependencies": { "balanced-match": "^1.0.0", @@ -8075,9 +8075,9 @@ "license": "MIT" }, "node_modules/express/node_modules/path-to-regexp": { - "version": "0.1.12", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.12.tgz", - "integrity": "sha512-RA1GjUVMnvYFxuqovrEqZoxxW5NUZqbwKtYz/Tt7nXerk0LbLblQmrsgdeOxV5SFHf0UDggjS/bSeOZwt1pmEQ==", + "version": "0.1.13", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.13.tgz", + "integrity": "sha512-A/AGNMFN3c8bOlvV9RreMdrv7jsmF9XIfDeCd87+I8RNg6s78BhJxMu69NEMHBSJFxKidViTEdruRwEk/WIKqA==", "license": "MIT" }, "node_modules/express/node_modules/range-parser": { @@ -9709,12 +9709,6 @@ "node": ">=12" } }, - "node_modules/isarray": { - "version": "0.0.1", - "resolved": "https://registry.npmjs.org/isarray/-/isarray-0.0.1.tgz", - "integrity": "sha512-D2S+3GLxWH+uhrNEcoh/fnmYeP8E8/zHl644d/jdA0g2uyXvy3sb0qxotE+ne0LtccHknQzWwZEzhak7oJ0COQ==", - "license": "MIT" - }, "node_modules/isexe": { "version": "2.0.0", "resolved": "https://registry.npmjs.org/isexe/-/isexe-2.0.0.tgz", @@ -12552,9 +12546,9 @@ } }, "node_modules/node-forge": { - "version": "1.3.2", - "resolved": "https://registry.npmjs.org/node-forge/-/node-forge-1.3.2.tgz", - "integrity": "sha512-6xKiQ+cph9KImrRh0VsjH2d8/GXA4FIMlgU4B757iI1ApvcyA9VlouP0yZJha01V+huImO+kKMU7ih+2+E14fw==", + "version": "1.4.0", + "resolved": "https://registry.npmjs.org/node-forge/-/node-forge-1.4.0.tgz", + "integrity": "sha512-LarFH0+6VfriEhqMMcLX2F7SwSXeWwnEAJEsYm5QKWchiVYVvJyV9v7UDvUv+w5HO23ZpQTXDv/GxdDdMyOuoQ==", "license": "(BSD-3-Clause OR GPL-2.0)", "engines": { "node": ">= 6.13.0" @@ -13065,15 +13059,6 @@ "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==", "license": "MIT" }, - "node_modules/path-to-regexp": { - "version": "1.9.0", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-1.9.0.tgz", - "integrity": "sha512-xIp7/apCFJuUHdDLWe8O1HIkb0kQrOMb/0u6FXQjemHn/ii5LrIzU6bdECnsiTF/GjZkMEKg1xdiZwNqDYlZ6g==", - "license": "MIT", - "dependencies": { - "isarray": "0.0.1" - } - }, "node_modules/path-type": { "version": "4.0.0", "resolved": "https://registry.npmjs.org/path-type/-/path-type-4.0.0.tgz", @@ -13090,12 +13075,12 @@ "license": "ISC" }, "node_modules/picomatch": { - "version": "2.3.1", - "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-2.3.1.tgz", - "integrity": "sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==", + "version": "4.0.4", + "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.4.tgz", + "integrity": "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A==", "license": "MIT", "engines": { - "node": ">=8.6" + "node": ">=12" }, "funding": { "url": "https://github.com/sponsors/jonschlinkert" @@ -14985,6 +14970,12 @@ "react": ">=15" } }, + "node_modules/react-router/node_modules/path-to-regexp": { + "version": "0.1.13", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.13.tgz", + "integrity": "sha512-A/AGNMFN3c8bOlvV9RreMdrv7jsmF9XIfDeCd87+I8RNg6s78BhJxMu69NEMHBSJFxKidViTEdruRwEk/WIKqA==", + "license": "MIT" + }, "node_modules/readable-stream": { "version": "3.6.2", "resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz", @@ -15775,9 +15766,9 @@ } }, "node_modules/serialize-javascript": { - "version": "7.0.4", - "resolved": "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-7.0.4.tgz", - "integrity": "sha512-DuGdB+Po43Q5Jxwpzt1lhyFSYKryqoNjQSA9M92tyw0lyHIOur+XCalOUe0KTJpyqzT8+fQ5A0Jf7vCx/NKmIg==", + "version": "7.0.5", + "resolved": "https://registry.npmjs.org/serialize-javascript/-/serialize-javascript-7.0.5.tgz", + "integrity": "sha512-F4LcB0UqUl1zErq+1nYEEzSHJnIwb3AF2XWB94b+afhrekOUijwooAYqFyRbjYkm2PAKBabx6oYv/xDxNi8IBw==", "license": "BSD-3-Clause", "engines": { "node": ">=20.0.0" @@ -15799,9 +15790,9 @@ } }, "node_modules/serve-handler/node_modules/path-to-regexp": { - "version": "3.3.0", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-3.3.0.tgz", - "integrity": "sha512-qyCH421YQPS2WFDxDjftfc1ZR5WKQzVzqsp4n9M2kQhVOo/ByahFoUNJfl58kOcEGfQ//7weFTDhm+ss8Ecxgw==", + "version": "0.1.13", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-0.1.13.tgz", + "integrity": "sha512-A/AGNMFN3c8bOlvV9RreMdrv7jsmF9XIfDeCd87+I8RNg6s78BhJxMu69NEMHBSJFxKidViTEdruRwEk/WIKqA==", "license": "MIT" }, "node_modules/serve-index": { diff --git a/docsite/package.json b/docsite/package.json index 615a241..4cab549 100644 --- a/docsite/package.json +++ b/docsite/package.json @@ -31,7 +31,11 @@ }, "overrides": { "svgo": "^3.3.3", - "serialize-javascript": "^7.0.3", + "serialize-javascript": "^7.0.5", + "node-forge": "^1.4.0", + "brace-expansion": "^1.1.13", + "path-to-regexp": "^0.1.13", + "picomatch": "^4.0.0", "minimatch": "^3.1.4", "ajv": "^8.18.0", "qs": "^6.14.2", diff --git a/pyproject.toml b/pyproject.toml index 0e00e40..82b4e6d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,8 +27,8 @@ classifiers = [ dependencies = [ "langchain-community>=0.4.0", "langchain-openai>=1.0.0", - "langgraph>=1.1.1,<2.0.0", - "nltk>=3.9.3", + "langgraph>=1.1.3,<2.0.0", + "nltk>=3.9.4", "numpy<=2.3.0", "asyncpg>=0.30.0", "fastapi[standard]>=0.116.1", @@ -54,10 +54,19 @@ dependencies = [ "aiofiles>=23.2.1", "tavily-python>=0.1.11", "pillow>=12.1.1", - "cryptography>=46.0.5", - "filelock>=3.20.3", - "PyJWT>=2.12.0", - "orjson>=3.11.6", + "cryptography>=46.0.6", + "filelock>=3.25.0", + "PyJWT>=2.12.1", + "orjson>=3.11.7", + "tornado>=6.5.3", + "protobuf>=6.33.0", + "pyasn1>=0.6.3", + "marshmallow>=3.26.2", + "pygments>=2.20.0", + "pyopenssl>=26.0.0", + "langsmith>=0.4.50", + "fonttools>=4.62.1", + "requests>=2.33.0", ] [project.optional-dependencies] @@ -99,7 +108,7 @@ oracle = [ ] streamlit = [ - "streamlit==1.50.0", + "streamlit>=1.51.0", "pyngrok==7.4.0", "python-dotenv==1.1.1", "xlsxwriter==3.2.9", @@ -144,6 +153,12 @@ dev = [ "twine>=6.1.0", ] +[tool.uv] +override-dependencies = [ + # pysonar (dev-only) pins requests==2.32.5 which conflicts; override to fix CVE + "requests>=2.33.0", +] + [tool.ruff] src = ["src"] diff --git a/src/intugle/core/conceptual_search/agent/tools/web_tools.py b/src/intugle/core/conceptual_search/agent/tools/web_tools.py index 3eb2e82..4b5c1d2 100644 --- a/src/intugle/core/conceptual_search/agent/tools/web_tools.py +++ b/src/intugle/core/conceptual_search/agent/tools/web_tools.py @@ -1,6 +1,6 @@ import logging -from langchain.schema import Document +from langchain_classic.schema import Document from langchain_community.tools.tavily_search import TavilySearchResults from langchain_core.tools import tool diff --git a/src/intugle/core/llms/chat.py b/src/intugle/core/llms/chat.py index 192ac6f..1650c3e 100644 --- a/src/intugle/core/llms/chat.py +++ b/src/intugle/core/llms/chat.py @@ -3,12 +3,12 @@ from typing import TYPE_CHECKING, Optional from langchain.chat_models import init_chat_model -from langchain.output_parsers import ( +from langchain_classic.output_parsers import ( ResponseSchema, RetryWithErrorOutputParser, StructuredOutputParser, ) -from langchain.prompts import BaseChatPromptTemplate, ChatPromptTemplate +from langchain_core.prompts import BaseChatPromptTemplate, ChatPromptTemplate from langchain_core.rate_limiters import InMemoryRateLimiter from intugle.core import settings @@ -53,9 +53,7 @@ def __init__( self.prompt_template: BaseChatPromptTemplate = prompt_template # prompt template self.output_parser = ( - self.__output_parser_builder__(response_schemas=response_schemas) - if response_schemas is not None - else None + self.__output_parser_builder__(response_schemas=response_schemas) if response_schemas is not None else None ) # the built output parser self.format_instructions = ( @@ -74,9 +72,7 @@ def __output_parser_builder__(self, response_schemas: list[ResponseSchema] = Non for building the corresponding output paraser from the given ResponseSchema """ parser = self.parser.from_response_schemas(response_schemas=response_schemas) - retry_parser = RetryWithErrorOutputParser.from_llm( - parser=parser, llm=self.model, max_retries=self.MAX_RETRIES - ) + retry_parser = RetryWithErrorOutputParser.from_llm(parser=parser, llm=self.model, max_retries=self.MAX_RETRIES) return retry_parser @classmethod @@ -97,9 +93,7 @@ def invoke(self, *args, **kwargs): sucessfull_parsing = False - prompt_value = self.llm_prompt.format_prompt( - format_instructions=self.format_instructions, **kwargs - ) + prompt_value = self.llm_prompt.format_prompt(format_instructions=self.format_instructions, **kwargs) messages = prompt_value.to_messages() _message = messages response = "" diff --git a/src/intugle/core/pipeline/business_glossary/prompts.py b/src/intugle/core/pipeline/business_glossary/prompts.py index 4017ac1..af4f0ef 100644 --- a/src/intugle/core/pipeline/business_glossary/prompts.py +++ b/src/intugle/core/pipeline/business_glossary/prompts.py @@ -1,12 +1,18 @@ -from langchain.output_parsers import ResponseSchema +from langchain_classic.output_parsers import ResponseSchema table_glossary = [ResponseSchema(name="table_glossary", description=" single-sentence business glossary definition")] -column_glossary = [ResponseSchema(name="column_glossary", description="precise, single-sentence and non-technical business glossary definition")] -column_tag_glossary = [ResponseSchema(name="column_tag_glossary", description="three precise and distinct business tags", type="list[str]")] +column_glossary = [ + ResponseSchema( + name="column_glossary", description="precise, single-sentence and non-technical business glossary definition" + ) +] +column_tag_glossary = [ + ResponseSchema(name="column_tag_glossary", description="three precise and distinct business tags", type="list[str]") +] BUSINESS_GLOSSARY_PROMPTS = { -"gpt-4o": { -"TABLE_GLOSSARY_TEMPLATE": """You are responsible for Data Governance in {domain}, + "gpt-4o": { + "TABLE_GLOSSARY_TEMPLATE": """You are responsible for Data Governance in {domain}, generate a concise, non-technical business glossary definition for the table on a provided DDL statement. The definition should be written as a single sentence and clearly describe the business purpose or function.\n # Instructions @@ -23,7 +29,7 @@ # Output {format_instructions} """, -"BUSINESS_GLOSSARY_TEMPLATE": """You are responsible for Data Governance in {domain}, + "BUSINESS_GLOSSARY_TEMPLATE": """You are responsible for Data Governance in {domain}, generate a concise single-sentence business glossary definition for each column mentioned in the DDL statement.\n The definition should clearly describe the business purpose or function.\n @@ -38,7 +44,7 @@ {create_statements}\n {format_instructions} """, -"BUSINESS_TAGS_TEMPLATE": """You are responsible for Data Governance in {domain}, your task is to generate three business tags for a column based on the DDL statements of a table given below. + "BUSINESS_TAGS_TEMPLATE": """You are responsible for Data Governance in {domain}, your task is to generate three business tags for a column based on the DDL statements of a table given below. Use the column's context within the DDL statement (e.g., its name, type, and table name) to infer relevant business tags. Focus on generating concise, domain-relevant, and meaningful tags that align with the potential business use of the column. @@ -65,10 +71,10 @@ # Additional Context: {additional_context}\n {format_instructions} -""" -}, -"gpt-4o-mini": { -"TABLE_GLOSSARY_TEMPLATE": """ +""", + }, + "gpt-4o-mini": { + "TABLE_GLOSSARY_TEMPLATE": """ Role: You are responsible for Data Governance in the {domain}.\n Task: You will be given a SQL DDL statement how `{table}` table is structured. Generate a concise, non-technical business glossary definition for `{table}` that clearly describe the business purpose or function.\n @@ -89,7 +95,7 @@ \n\n {format_instructions} """, -"BUSINESS_GLOSSARY_TEMPLATE": """ + "BUSINESS_GLOSSARY_TEMPLATE": """ Role: You are responsible for Data Governance in the {domain}.\n Task: You will be given a SQL DDL statement how the attribute `{column}` is structured.\n @@ -111,8 +117,7 @@ {additional_context}\n\n {format_instructions} """, -"BUSINESS_TAGS_TEMPLATE": -""" + "BUSINESS_TAGS_TEMPLATE": """ Role: You are responsible for Data Governance in the {domain}.\n Task: You will be given a SQL DDL statement how the attribute `{column}` is structured.\n @@ -131,6 +136,6 @@ # Additional Context: {additional_context}\n\n {format_instructions} -""" +""", + }, } -} \ No newline at end of file diff --git a/src/intugle/core/pipeline/business_glossary/utils.py b/src/intugle/core/pipeline/business_glossary/utils.py index 724ee8b..e00dc1f 100644 --- a/src/intugle/core/pipeline/business_glossary/utils.py +++ b/src/intugle/core/pipeline/business_glossary/utils.py @@ -3,7 +3,7 @@ import pandas as pd -from langchain.output_parsers import RetryOutputParser +from langchain_classic.output_parsers import RetryOutputParser from langchain_core.prompt_values import StringPromptValue from intugle.core import settings @@ -56,11 +56,8 @@ def get_additional_context(table_name: str, global_additional_context: str = "", def preprocess_profiling_df(profiling_data: pd.DataFrame): - profiling_data = preprocess_profiling_data( - profiling_data=profiling_data, - sample_limit=settings.STRATA_SAMPLE_LIMIT, - dtypes_to_filter=None + profiling_data=profiling_data, sample_limit=settings.STRATA_SAMPLE_LIMIT, dtypes_to_filter=None ) return profiling_data diff --git a/src/intugle/core/pipeline/datatype_identification/l2_model.py b/src/intugle/core/pipeline/datatype_identification/l2_model.py index 821018d..5050679 100644 --- a/src/intugle/core/pipeline/datatype_identification/l2_model.py +++ b/src/intugle/core/pipeline/datatype_identification/l2_model.py @@ -8,7 +8,7 @@ import pandas as pd -from langchain.output_parsers import ResponseSchema +from langchain_classic.output_parsers import ResponseSchema from tqdm.auto import tqdm from intugle.core.llms.chat import ChatModelLLM @@ -82,9 +82,7 @@ def __classify_dim_measure__(self, table: str, column_name: str) -> str: def __call__(self, row) -> str: column_name = row["column_name"] - sample_data = adjust_sample( - sample_data=row["sample_data"], expected_size=settings.L2_SAMPLE_LIMIT - ) + sample_data = adjust_sample(sample_data=row["sample_data"], expected_size=settings.L2_SAMPLE_LIMIT) table = pd.DataFrame(sample_data, columns=[column_name]) @@ -101,7 +99,6 @@ def __call__( self, l1_pred: pd.DataFrame, ): - l1_pred["predicted_datatype_l2"] = l1_pred.progress_apply( self.__model, axis=1, diff --git a/src/intugle/core/pipeline/link_prediction/agent.py b/src/intugle/core/pipeline/link_prediction/agent.py index 285ff0c..5890197 100644 --- a/src/intugle/core/pipeline/link_prediction/agent.py +++ b/src/intugle/core/pipeline/link_prediction/agent.py @@ -5,7 +5,7 @@ import pandas as pd -from langchain.output_parsers import OutputFixingParser +from langchain_classic.output_parsers import OutputFixingParser from langchain_core.messages import HumanMessage from langchain_core.output_parsers import PydanticOutputParser from langgraph.errors import GraphRecursionError @@ -64,26 +64,25 @@ def __init__( ) pydantic_parser = PydanticOutputParser(pydantic_object=Link) - self.parser_linkages = OutputFixingParser.from_llm( - llm=self.llm, parser=pydantic_parser - ) + self.parser_linkages = OutputFixingParser.from_llm(llm=self.llm, parser=pydantic_parser) self.link_identification_agent_prompt = link_identification_agent_prompt self.table1_dataset = table1_dataset self.table2_dataset = table2_dataset - profiling_data = pd.concat( - [table1_dataset.profiling_df, table2_dataset.profiling_df], ignore_index=True + profiling_data = pd.concat([table1_dataset.profiling_df, table2_dataset.profiling_df], ignore_index=True) + profiling_data.rename( + columns={ + "column_name": "upstream_column_name", + "table_name": "upstream_table_name", + "distinct_count": "distinct_value_count", + "predicted_datatype_l1": "datatype_l1", + "predicted_datatype_l2": "datatype_l2", + "business_glossary": "glossary", + }, + inplace=True, ) - profiling_data.rename(columns={ - "column_name": "upstream_column_name", - "table_name": "upstream_table_name", - "distinct_count": "distinct_value_count", - "predicted_datatype_l1": "datatype_l1", - "predicted_datatype_l2": "datatype_l2", - "business_glossary": "glossary", - }, inplace=True) self.profiling_data = preprocess_profiling_df(profiling_data) @@ -119,14 +118,21 @@ def __graph_invoke__(self) -> dict: start_time = time.time() HumanMessage(content=f"{self.table1_dataset.name} & {self.table2_dataset.name}") init_data = { - "messages": [("user", f"### Table Schemas:\n```sql\n{self.table_ddl_statements[self.table1_dataset.name]}\n```\n```sql\n{self.table_ddl_statements[self.table2_dataset.name]}\n```")], + "messages": [ + ( + "user", + f"### Table Schemas:\n```sql\n{self.table_ddl_statements[self.table1_dataset.name]}\n```\n```sql\n{self.table_ddl_statements[self.table2_dataset.name]}\n```", + ) + ], "table1_name": self.table1_dataset.name, "table2_name": self.table2_dataset.name, "remaining_steps": 25, # This is for the prebuilt agent, not directly used in our custom graph } # Get Langfuse handler if enabled - langfuse_handler = get_langfuse_handler(trace_name=f"lp-id-{self.table1_dataset.name}-{self.table2_dataset.name}") + langfuse_handler = get_langfuse_handler( + trace_name=f"lp-id-{self.table1_dataset.name}-{self.table2_dataset.name}" + ) config = {"callbacks": [langfuse_handler]} if langfuse_handler else {} try: @@ -144,14 +150,19 @@ def __graph_invoke__(self) -> dict: log.info(f"Finished running: {key}:") except GraphRecursionError as ex: - log.warning(f"[!] Graph went into recursion loop when running for {self.table1_dataset.name} <=> {self.table2_dataset.name}") + log.warning( + f"[!] Graph went into recursion loop when running for {self.table1_dataset.name} <=> {self.table2_dataset.name}" + ) event["status"] = Status.HALLUCINATED_RECURSION event["potential_link"] = "NA" event["error_msg"] = str(ex) except Exception as ex: import traceback - log.error(f"[!] Error while running for {self.table1_dataset.name} <=> {self.table2_dataset.name}: Reason {traceback.format_exc()}") + + log.error( + f"[!] Error while running for {self.table1_dataset.name} <=> {self.table2_dataset.name}: Reason {traceback.format_exc()}" + ) event["status"] = Status.HALLUCINATED_RECURSION event["potential_link"] = "NA" event["error_msg"] = str(ex) @@ -162,7 +173,7 @@ def __graph_invoke__(self) -> dict: # Extract links from the lpt._links dictionary potential_links_for_pair = self.lpt._links.get((self.table1_dataset.name, self.table2_dataset.name), {}) - + # Convert OutputSchema objects to dictionaries links_data = [link.model_dump() for link in potential_links_for_pair.values()] @@ -183,7 +194,9 @@ def __call__(self, *args, **kwds): and runs < self.HALLUCINATIONS_MAX_RETRY ): runs += 1 - log.info(f"[*] Hallucinated for {self.table1_dataset.name} <==> {self.table2_dataset.name} ... Retry no {runs} ") + log.info( + f"[*] Hallucinated for {self.table1_dataset.name} <==> {self.table2_dataset.name} ... Retry no {runs} " + ) final_output = self.__graph_invoke__() return final_output diff --git a/src/intugle/streamlit_app/requirements.txt b/src/intugle/streamlit_app/requirements.txt index 96b057b..d21b6f4 100644 --- a/src/intugle/streamlit_app/requirements.txt +++ b/src/intugle/streamlit_app/requirements.txt @@ -1,4 +1,4 @@ -streamlit==1.50.0 +streamlit>=1.51.0 pyngrok==7.4.0 python-dotenv==1.1.1 xlsxwriter==3.2.9 diff --git a/uv.lock b/uv.lock index 1e656e4..370e602 100644 --- a/uv.lock +++ b/uv.lock @@ -9,6 +9,9 @@ resolution-markers = [ "python_full_version < '3.11'", ] +[manifest] +overrides = [{ name = "requests", specifier = ">=2.33.0" }] + [[package]] name = "aiofiles" version = "25.1.0" @@ -196,7 +199,7 @@ wheels = [ [[package]] name = "anthropic" -version = "0.75.0" +version = "0.86.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -208,9 +211,9 @@ dependencies = [ { name = "sniffio" }, { name = "typing-extensions" }, ] -sdist = { url 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