Post-merge validation fixes (upstream v0.3.0 + Ai4Sci fork):
- llm/patches.py: restore the two module-level patch calls the merge dropped
(_patch_openai_empty_sse_keepalive, _patch_deepagents_extracted_document_text)
and make _is_ccproxy_codex accept an explicit base_url/api_key so the
invocation plan can classify an endpoint without mutating the process env.
- llm/models.py: an explicit per-call plan now wins over
EVOSCIENTIST_USE_RESPONSES_API (env is only a default), an explicit caller
`reasoning` block survives an explicit use_responses_api=False, and the
third-party (openrouter) default effort stays the fork's fixed `medium`.
- EvoScientist.py: sub-agent stacks pass NO_OP_SINK as `events` instead of None.
- middleware/error_normalization.py: platform-generated diagnostics
(ModelOutputTruncatedError) keep their actionable text while provider SDK
errors still get the canned redacted message.
- pyproject.toml: hold google-genai 1.x (langchain-google-genai>=4.3.7,<4.4)
because llm/gemini_interactions.py drives the 1.x Interactions API; this is
also what deepagents 0.7.13 requires.
- config/settings.py: restore upstream's use_responses_api config field.
`reasoning_effort` stays deleted on purpose — Ai4Sci keeps reasoning an
invocation-plan parameter, never a deployment-env override.
- tests: align upstream tests that encode replaced behaviour (ccproxy
responses-api context, reasoning-effort-overrides-env, fingerprint coverage)
with the fork's contracts.
* fix: prevent session-emptying crash on resume commands
* docs: fix stale docstrings in goto=None crash tests and patch
- Correct checkpoint corruption claim: the error state replaces the
previous conversation state (messages: [], files: {}), it IS corrupted.
- Replace WebUI-specific language with UI-agnostic wording.
- Remove references to uncommitted local notes files.
- Add upstream issue reference (langchain-ai/langgraph#5656).
* fix: wrap _control_branch instead of reimplementing, use dataclasses.replace, add END routing and session preservation tests
* fix: rebind map_cmd on already-loaded consumers, rewrite crash-path tests to exercise __start__ via checkpoint deletion
* fix: add support for new Anthropic models and enhance adaptive thinking tests
* fix: implement patches for Anthropic protocol to handle foreign reasoning blocks and structured output for mandatory-thinking Kimi models
* fix: update version to v0.2.4 in badges, README, and project files
* fix: update Star History chart links in README and README.zh-CN
* fix: add support for Gemini 3.6 Flash and 3.5 Flash Lite models in model entries and update changelog
* fix: update wechat group image in assets
* feat(context-window): add Kimi K3 model with 1M context window
* feat(openrouter): implement structured output for Kimi K3 and add 429 retry handling
* Refactor code structure for improved readability and maintainability
* feat(middleware): reposition code interpreter middleware in the stack
* feat(models): add qwen3.7-plus model entry and update context window comment
* feat(models): add qwen3.7-max and qwen3.7-plus model entries for DashScope
* feat(auxiliary): implement auxiliary model support for background tasks and tool selection
- Added auxiliary model configuration to EvoScientistConfig.
- Introduced _ensure_auxiliary_chat_model function to manage auxiliary model instances.
- Updated onboarding steps to include auxiliary model selection.
- Modified middleware to route tool selection to the auxiliary model when applicable.
- Enhanced tests to cover auxiliary model functionality and configuration.
* feat(steps): update UI backend selection options and descriptions
* Refactor code structure for improved readability and maintainability
* feat(patches): implement OpenRouter response reasoning item stripping to prevent multi-turn errors
* feat: update version to v0.1.4 in badges, README, and pyproject.toml; adjust skill counts in steps.py
* feat(config): add auxiliary model and provider environment variables to test setup
* Enhance multimodal handling in LLM model
- Updated `_flatten_message_content` to preserve media blocks (images, files) while flattening text content.
- Introduced `_sanitize_messages` to manage media hoisting for tool messages, ensuring compatibility with OpenAI APIs.
- Modified `_patch_openai_compat_content` to accommodate new media handling logic, including retry mechanisms for media errors.
- Added comprehensive tests for media preservation, including various scenarios with images, files, and unsupported media types.
* fix: preserve order of text and media blocks in message flattening
* test: add tests for _strip_media_types to ensure position preservation and deduplication
* feat(middleware): add ConfigurableModelMiddleware for dynamic model resolution
- Introduced ConfigurableModelMiddleware to resolve chat models from RunnableConfig.configurable on each call.
- Updated middleware initialization to include ConfigurableModelMiddleware.
- Enhanced context editing middleware tests to verify presence of ConfigurableModelMiddleware.
- Implemented tests for ConfigurableModelMiddleware to ensure correct model overriding and caching behavior.
- Added tests for deepagents model-passthrough patch to verify configuration injection in async tasks.
* feat(async-subagent): update middleware handling to prevent deadlocks in async sub-agents
* style: Refactor code formatting for improved readability in patches and test files
* refactor: streamline middleware construction and improve async handling in ConfigurableModelMiddleware
* fix: remove unused request parameter from _read_model_override function
* refactor: improve async handling in _ClientProxy and enhance logging in ConfigurableModelMiddleware
test: add behavior test to ensure AskUserMiddleware is excluded in async subagent mode
* fix(ccproxy): update Responses API handling and patch system role conversion
* fix(ccproxy): streamline _agenerate method in system to developer patch
* fix(ccproxy): improve handling of None output in Codex compatibility patch
* fix(llm): patch _stream/_astream for OpenAI-compatible content flattening
_patch_openai_compat_content() only patched _generate/_agenerate but
EvoSci CLI uses streaming paths. This extends the content flattening
to _stream/_astream so strict OpenAI-compatible relays receive plain
string content during streaming calls.
Closes#142
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(test): use asyncio.run() instead of pytest-asyncio for CI compat
CI does not have pytest-asyncio installed, so async tests must use
asyncio.run() wrapper instead of @pytest.mark.asyncio decorator.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(test): use @pytest.mark.anyio for async tests (CI compat)
CI does not have pytest-asyncio. Use @pytest.mark.anyio consistent
with existing async tests in the project.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: enable reasoning for OpenRouter via extra_body to prevent multi-turn errors
* feat: implement OpenRouter native reasoning support and patch langchain-openrouter bug
* feat: add OpenRouter reasoning effort configuration and update related tests
* feat: add langchain-openrouter dependency for enhanced reasoning support
* fix: correct spacing in reasoning effort choice label
* feat: implement patch for OpenRouter reasoning details to prevent Pydantic errors
* feat: add patches for OpenRouter reasoning and content handling utilities
* feat: prevent multiple patches of OpenRouter reasoning details by using a global flag
* feat: update OpenRouter reasoning patch to ensure single application with global flag
* feat: refine OpenAI responses API handling to apply only for OpenAI provider
* feat: Enhance TUI interaction by updating todo widget positioning and skipping empty tool call chunks
* feat: Update tool selector threshold and adjust logging level for selector failures
* feat: Temporarily disable timestamp toast in tool call widget for UX review
* feat: Re-enable timestamp toast in tool call widget on click
m4