* 修复gemini toolcall 的名称导致的循环调用
* Apply suggestions from code review
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* Refactor function response creation for tool role
Refactor function response handling for tool role to ensure proper ID injection.
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Co-authored-by: Soulter <37870767+Soulter@users.noreply.github.com>
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
* perf: support extended thinking for Anthropic, DeepSeek reasoning mode, and Gemini text part thought signatures to improve multi-turn reasoning performance.
* chore: remove verbose
* perf
* refactor: remove special tools handling for deepseek-reasoner model in openai source
* fix: improve error handling and logging in InternalAgentSubStage processing
* refactor: remove unused reasoning content from Gemini source processing
* refactor: enhance modality determination logic in useProviderSources
Co-authored-by: kawayiYokami <289104862@qq.com>
- Expanded model name checks to include specific Gemini 2.5 and 3 variants, ensuring correct configuration for thinking parameters based on the model used.
* feat: supports thinking level of google gemini
- Updated google-genai version to >=1.56.0 in pyproject.toml and requirements.txt.
- Changed model configuration from "gemini-1.5-flash" to "gemini-3-flash-preview" in default.py.
- Enhanced thinking configuration handling in gemini_source.py to support new parameters for Gemini 3 models.
* fix: standardize thinking level configuration in default.py and gemini_source.py
- Updated the thinking level values in default.py to uppercase for consistency.
- Enhanced gemini_source.py to validate the thinking level and default to "HIGH" if an invalid value is provided.
* feat: enhance tool call handling and UI integration for tool calls render
- Added support for tool call messages in the agent runner and webchat event handling.
- Implemented JSON message component for structured tool call data.
- Updated chat route to save tool call information in message history.
- Enhanced frontend to display tool call details in a collapsible format, including status and results.
- Introduced elapsed time tracking for ongoing tool calls in the chat interface.
* fix: improve message handling in agent run utility and tool loop runner
- Refactored message sending logic in `astr_agent_run_util.py` to use `msg_chain` directly for better clarity.
- Added a check in `tool_loop_agent_runner.py` to ensure `tool_call_result_blocks` is not empty before yielding the last tool call result, preventing potential errors.
* refactor: enhance message structure and UI for chat components
- Updated message handling in `MessageList.vue` to support structured message parts, including plain text, images, audio, and files.
- Improved the `Chat.vue` component styles for better visual consistency.
- Refactored message parsing logic in `useMessages.ts` to accommodate new message formats and ensure proper rendering of embedded content.
- Removed deprecated tool call handling from the message structure, streamlining the message display process.
* chore: ruff format
* feat: implement agent statistics tracking and display in chat
- Added `AgentStats` and `TokenUsage` data classes to track agent performance metrics.
- Enhanced `ToolLoopAgentRunner` to collect and update agent statistics during execution.
- Integrated agent statistics sending to webchat for real-time updates.
- Updated chat route to save and display agent statistics in message history.
- Improved frontend components to visualize agent statistics, including token usage and duration metrics.
* fix: improve message handling in Telegram event and agent run utility
- Updated message sending logic in `astr_agent_run_util.py` to send the correct message chain for tool calls.
- Enhanced `tg_event.py` to edit messages during streaming breaks, improving message management and user experience.
- Added error handling for message editing failures to ensure robustness.
* chore: ruff format
* refactor: LLM response handling with reasoning content
- Added a `show_reasoning` parameter to `run_agent` to control the display of reasoning content.
- Updated `LLMResponse` to include a `reasoning_content` field for storing reasoning text.
- Modified `WebChatMessageEvent` to handle and send reasoning content in streaming responses.
- Implemented reasoning extraction in various provider sources (e.g., OpenAI, Gemini).
- Updated the chat interface to display reasoning content in a collapsible format.
- Removed the deprecated `thinking_filter` package and its associated logic.
- Updated localization files to include new reasoning-related strings.
* feat: add Groq chat completion provider and associated configurations
* Update astrbot/core/provider/sources/gemini_source.py
Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
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Co-authored-by: sourcery-ai[bot] <58596630+sourcery-ai[bot]@users.noreply.github.com>
邹永赫
Dt8333
搁浅
xunxiing
Soulter
Yokami
Soulter
BiDuang
LIghtJUNction
anka
Raven95676
Copilot