* fix: resolve 422 error adding deepseek provider
- Updated `pretor/api/provider.py` to allow "deepseek" as a valid Literal in `ProviderRegister` Pydantic model.
- Validated tests to ensure the backend can correctly receive deepseek configurations.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: complete deepseek provider registration wiring
- Updated `pretor/core/global_state_machine/provider_manager.py` to correctly map `"deepseek"` to `DeepseekProvider`.
- Updated `pretor/core/global_state_machine/model_provider/__init__.py` to export `DeepseekProvider`.
- Confirmed this fully resolves the Provider Manager failing to instantiate DeepSeek despite passing API validation.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: support pydantic-ai decorator proxying on DeepSeekReasonerAgent
- Implemented `__getattr__` on `DeepSeekReasonerAgent` to safely proxy all unrecognized attributes (such as `@agent.system_prompt` and `@agent.tool`) directly to the underlying PydanticAI `Agent` object.
- Resolves the crash where `SupervisoryNode.create_agent()` threw an `AttributeError` when trying to decorate `system_prompt`.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* refactor: remove gemini provider from frontend and backend
- Removed `gemini` from `ProviderRegister` API validator.
- Removed `GeminiProvider` files, tests, and its mappings from `AgentFactory` and `ProviderManager`.
- Removed `gemini` from frontend TypeScript types and UI selection dropdown.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: parse output with TypeAdapter to support Union types
- Refactored `_parse_output` in `DeepSeekReasonerAgent` to use Pydantic's `TypeAdapter`.
- Resolves a bug where Union types (like `Union[ForConsciousnessNode, ForUser]`) evaluated `hasattr(..., 'model_validate_json')` as `False`, causing the parser to fall back to `json.loads` and return a raw `dict`.
- The `SupervisoryNode` now correctly receives Pydantic objects instead of dictionaries, resolving the `未知响应类型: <class 'dict'>` crash.
- Cleaned up debug scripts to adhere to repository standards.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: resolve 422 error adding deepseek provider
- Updated `pretor/api/provider.py` to allow "deepseek" as a valid Literal in `ProviderRegister` Pydantic model.
- Validated tests to ensure the backend can correctly receive deepseek configurations.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: complete deepseek provider registration wiring
- Updated `pretor/core/global_state_machine/provider_manager.py` to correctly map `"deepseek"` to `DeepseekProvider`.
- Updated `pretor/core/global_state_machine/model_provider/__init__.py` to export `DeepseekProvider`.
- Confirmed this fully resolves the Provider Manager failing to instantiate DeepSeek despite passing API validation.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* fix: support pydantic-ai decorator proxying on DeepSeekReasonerAgent
- Implemented `__getattr__` on `DeepSeekReasonerAgent` to safely proxy all unrecognized attributes (such as `@agent.system_prompt` and `@agent.tool`) directly to the underlying PydanticAI `Agent` object.
- Resolves the crash where `SupervisoryNode.create_agent()` threw an `AttributeError` when trying to decorate `system_prompt`.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
* refactor: remove gemini provider from frontend and backend
- Removed `gemini` from `ProviderRegister` API validator.
- Removed `GeminiProvider` files, tests, and its mappings from `AgentFactory` and `ProviderManager`.
- Removed `gemini` from frontend TypeScript types and UI selection dropdown.
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
---------
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
This refactor improves the `DeepSeekReasonerAgent` adapter to be a robust, drop-in replacement for native PydanticAI Agents. It brings several enhancements:
1. Re-implemented `run()` to manually inject historical messages (`message_history`) and dependencies, preserving state across workflows.
2. Replaced the simplistic crash loop with an explicit, manual multi-turn retry mechanism. If the Markdown JSON parser fails, it correctly injects the `ValidationError` back into the conversation history and prompts the model to correct its structure up to `retries` times.
3. Designed an elegant proxy `AgentRunResultProxy` to seamlessly wrap `AgentRunResult` outputs. This cleanly passes through downstream calls (e.g., `result.data`, `result.usage()`, `result.all_messages()`) avoiding `AttributeError`s and Monkey-patching.
4. Integrated fallback tool descriptions parsing, dynamically instructing the model on available tools.
5. Adapted `AgentFactory` to correctly propagate `tools` and `retries`.
Co-authored-by: google-labs-jules[bot] <161369871+google-labs-jules[bot]@users.noreply.github.com>
Co-authored-by: zhaoxi826 <198742034+zhaoxi826@users.noreply.github.com>
朝夕