* feat: add support for keda in helm chart
Signed-off-by: R.Sicart <roger.sicart@gmail.com>
* chore: bump chart version
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Signed-off-by: R.Sicart <roger.sicart@gmail.com>
When using http:// api_base (converted to ws://), the websockets library
throws "ssl argument is incompatible with a ws:// URI". Only pass SSL
context for secure wss:// connections.
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
- Add health_check_client.py for monitoring model availability
- Add health_check_client_README.md with usage documentation
- Add health_check_requirements.txt for dependencies
- Add run_parallel_health_checks.ps1 (PowerShell version)
- Add run_parallel_health_checks.sh (Bash version)
- Organize all scripts under scripts/health_check/ directory
Extends HeliconeLogger to properly log Vertex AI partner models (GLM, DeepSeek, etc.)
that don't contain "gemini" in their name. Uses custom_llm_provider to detect vertex_ai.
* docs: update UI contributing guide with correct commands
- Replace outdated proxy_cli.py command with poetry run litellm
- Add config.yaml example with required settings
- Clarify that UI comes pre-built in the repo
- Add two development options: Build Mode and Dev Mode (hot reload)
- Note about redirect issues in Dev Mode
* docs: add hot reload login flow and PR submission section
- Document the 3000 -> 4000 -> 3000 login flow for hot reload
- Reorder: Hot Reload as Option A, Build Mode as Option B
- Add section 4 on submitting PRs
- Add note that UI changes don't require tests
* Update login flow navigation URL in contributing.md
Replace copy.deepcopy with model_dump + model_validate in streaming
iterator logging to handle Pydantic ValidatorIterator objects that
cannot be pickled when tool_choice uses allowed_tools mode.
Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
* fix(agentcore): simplify agentcore streaming
* fix(agentcore): move CustomStreamWrapper import to module level
The deferred imports inside streaming methods caused initialization delays
during health check requests, leading to timeouts in ECS deployments.
- Move CustomStreamWrapper import to module-level (line 19)
- Remove deferred imports from get_sync_custom_stream_wrapper (line 588)
- Remove deferred import from get_async_custom_stream_wrapper (line 747)
- Remove from TYPE_CHECKING block to use actual import
This ensures the import happens at module load time rather than during
first request processing, preventing health check endpoint blocking.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* test(agentcore): ensure sync response
* chore: upgrade boto3 to 1.40.76 in pyproject.toml
* chore: added taplo.toml
* fix(types): correct annotation type hint for MyPy compatibility
Update _convert_annotations_to_chat_format return type from
Dict[str, Any] to ChatCompletionAnnotation TypedDict to match
the Message class's expected type signature.
Co-Authored-By: Claude <noreply@anthropic.com>
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Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Benedikt Óskarsson <bensi94@hotmail.com>
Fixes#19225
Add prompt_cache_key and other missing OpenAI Chat Completions params
to DEFAULT_CHAT_COMPLETION_PARAM_VALUES so drop_params: true works.
Also fix additional_drop_params to filter extra params for all providers,
not just OpenAI/Azure.
