fix: consolidate Pi and OpenCode model routing#238
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…h reasoning/limits Builds on the merged OpenCode OSS support (kimi/glm) to close the remaining gaps: - Pi had NO OSS provider. Add databricks-mlflow (api openai-completions -> /ai-gateway/mlflow/v1) so Pi can select OSS chat models, with a local SSE-repair proxy (_mlflow_proxy) for models like inkling whose gateway stream omits finish_reason (Pi's parser rejects that; OpenCode's @ai-sdk/openai tolerates it, so it needs no proxy). - Broaden _OSS_MODEL_FAMILIES from kimi/glm to the full chat-completions cohort (inkling, llama, qwen, gpt-oss, gemma), excluding non-chat services (embeddings/rerankers) that share a family substring (e.g. qwen3-embedding). - Correct + extend _MODEL_TOKEN_LIMITS from probed gateway caps: glm is 1M context / 65536 output (was 200k/25k); per-family output ceilings for the cohort. Add model_is_reasoning() from probed openai_reasoning capability; Pi sets reasoning:true so it renders streamed reasoning_content as thinking. Both agents read the shared model_token_limits/model_is_reasoning tables. Verified live: glm-5-2 answers through Pi (6*7 -> 42). (cherry picked from commit 23d71a5)
Pi databricks-mlflow OSS provider + broadened OSS cohort with reasoning/limits. (cherry picked from commit 3c9503e)
gpt-oss-* contains 'gpt-' so it matched the codex bucket, but it's a chat-completions-only OSS model (served via /ai-gateway/mlflow/v1), not an openai-responses model. Broadening _OSS_MODEL_FAMILIES to include gpt-oss put it in BOTH codex_models and oss_models, so it was offered under Pi's databricks-openai provider too — where the openai-responses route 400s for it. Exclude gpt-oss from the codex bucket so it's OSS-only. (cherry picked from commit acd2d06)
Proxy (_mlflow_proxy.py): - Close the connection at stream end (self.close_connection = True) so HTTP/1.1 clients detect the message boundary instead of hanging after [DONE] (the proxy sends no Content-Length/chunking). [critical] - Only repair text/event-stream responses; relay non-streaming and error bodies verbatim with their real Content-Type instead of forcing SSE. [high] - Catch URLError/OSError around urlopen and return a clean 502 instead of a dead socket on connection-level failures. [high] - Restrict forwarded paths to /ai-gateway/mlflow/ (404 otherwise) so the localhost relay can't be used as an authenticated arbitrary-path workspace client. [security] - Move terminator-repair writes inside the OSError guard so a client disconnect doesn't traceback on the daemon thread. [medium] - Parse SSE data lines with or without the optional space after the colon. [low] Discovery (databricks.py): - OSS chat models matching a broad family (qwen, llama-) but lacking a specific _MODEL_TOKEN_LIMITS entry now fall back to a conservative floor (128k/8192) so they're never offered uncapped (which 400s). Non-OSS and embedding ids still return None. Verified live: glm-5-2 streams content (42) + finish_reason + [DONE] through the proxy; non-stream/error/404/502 paths covered by tests. 898 passed. (cherry picked from commit ededa9c)
(cherry picked from commit a6359d3)
… reach OpenCode The OSS branch (fix/1m-context-claude-gpt-pi) rebuilt opencode around a databricks-oss bucket but dropped the databricks-openai (GPT/Codex) wiring that only lived on fix/opencode-codex-provider. Neither branch had both, so on the latest work GPT-5.x/5.6 was unreachable from OpenCode. Reconcile the two efforts across all three layers: - databricks.build_opencode_base_urls: add the 'openai' -> /ai-gateway/codex/v1 base URL - cli.configure_shared_state: discover codex models for opencode and populate opencode_models['openai'] - agents.opencode: emit the databricks-openai provider (per-model useResponsesApi=true) alongside oss Now OpenCode gets anthropic + google + openai + oss together. Ports databricks#97 wiring onto the OSS/1M-context work. Adds TestOpenAIProvider + base-url coverage. Co-authored-by: fix/opencode-codex-provider
OSS model discovery only queried UC model-services for `system.ai.*` ids and, unlike the claude/gemini/codex families, had no AI-Gateway fallback. On workspaces that expose OSS foundation models as regular `databricks-*` serving endpoints (rather than `system.ai.*` UC model-services), `oss_models` came back empty and pi/opencode never offered GLM, Qwen, Gemma, inkling, etc. Add `discover_oss_models`, which lists foundation-model endpoints advertising `mlflow/v1/chat/completions` and keeps the OSS chat families via the existing `_is_oss_chat_model` filter (the family filter is required because Claude/Gemini endpoints can advertise the same dialect on some workspaces). Wire it as the fallback in cli.py, mirroring the other three families. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Closing in favor of #239. |
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Summary
Consolidates the Pi and OpenCode model fixes into one self-contained change.
Changes
databricks-openai.Validation
git diff --checkclean.This is intentionally self-contained and does not depend on the blocked/stale OpenCode PR #101 or the stacked PR #223.