These models include the full 1M token context at standard pricing with no 2x surcharge above 200k tokens.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
- Remove HTTP_PROXY/HTTPS_PROXY from blocklist (legitimately used in corporate envs)
- Add NO_PROXY/no_proxy to blocklist (prevents bypassing proxy monitoring)
- Remove dead code in _is_valid_user_id (space exception was unreachable)
- Update tests accordingly
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add input validation to get_user_id_from_request (length limit, control char rejection) and a blocklist of dangerous environment variable keys in _load_environment_variables to prevent PATH/LD_PRELOAD/PYTHONPATH override via config.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Wildcard openrouter/* deployments pass custom_llm_provider=openrouter with
the full openrouter/provider/model id; OpenRouter expects provider/model.
Strip the outer openrouter/ only when the remainder contains a slash so
native ids like openrouter/auto stay intact.
Adds regression test for proxy wildcard path.
Made-with: Cursor
- Add Prometheus metrics for managed batch and file operations
- Track batch creation, file size, duration, and deletion events
- Add CheckBatchCost polling metrics (jobs polled/processed, errors)
- Record metrics in managed_files hook and check_batch_cost utility
- Metrics include labels for model, provider, user, and status
Made-with: Cursor
- Add cancel/retrieve overrides in AzureOpenAIFineTuningAPI to normalize responses
- Expand _AZURE_STATUS_MAP to handle all known Azure statuses
- Add "pending" to OpenAIFileObject.status allowed values
- Fix async test mock to return awaitable LiteLLMFineTuningJob
- Add test_openai_file_object_accepts_pending_status
Made-with: Cursor
- Move trainingType injection to AzureOpenAIFineTuningAPI handler
- Guard normalization with is_azure flag to only apply to Azure responses
- Override acreate_fine_tuning_job in Azure handler to use is_azure=True
- Update test to directly test _ensure_training_type method
- Add test for OpenAI unchanged behavior
Made-with: Cursor
- Default trainingType=1 for Azure when omitted to avoid misleading "base model does not support fine-tuning" error
- Normalize Azure FineTuningJob responses (pending→queued, null fields→defaults) to match OpenAI schema
- Add pending status support to OpenAIFileObject for Azure file uploads
- Add test coverage for trainingType default and response normalization
Made-with: Cursor
Pin all pip install commands to exact versions and SHA-pin all GitHub
Actions to prevent supply chain attacks. Remove snok/install-poetry
in favor of direct pip install. Delete orphaned load test scripts.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
