* feat: context compressor
Co-authored-by: kawayiYokami <289104862@qq.com>
* Add comprehensive tests for ContextManager and ContextTruncator
- Implemented a full test suite for ContextManager covering initialization, message processing, token-based compression, and error handling.
- Added tests for ContextTruncator focusing on message fixing, truncation by turns, dropping oldest turns, and halving.
- Ensured that both test suites validate edge cases and maintain expected behavior with various message types, including system and tool messages.
* feat: add MockProvider for LLM compression tests
* chore: remove lock
* ruff fix
* fix
* perf
* feat: enhance context compression with token tracking and logging
* feat: update logging for context compression trigger
* feat: implement context compression logic with dynamic threshold and token tracking
* fix: reorder import statements for consistency
* feat: add token_usage tracking to conversations and update related processing logic
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Co-authored-by: kawayiYokami <289104862@qq.com>
- Added support for template schemas in the configuration editor, allowing users to define and manage additional parameters like temperature, top_p, and max_tokens.
- Improved UI components in ProviderModelsPanel and ObjectEditor for better user interaction, including new configuration buttons and enhanced input handling.
- Updated localization files to include new configuration options.
* feat: 添加模板列表配置支持,包含验证和编辑功能
* refactor(dashboard): extract ConfigItemRenderer to eliminate code duplication
- Create ConfigItemRenderer.vue to centralize rendering logic for various config types (string, int, bool, selectors, etc.)
- Refactor TemplateListEditor.vue to use the new renderer for entry fields
- Refactor AstrBotConfig.vue and AstrBotConfigV4.vue to simplify metadata-driven rendering
- Resolve circular dependency by decoupling TemplateListEditor from the base renderer
* ruff format
* refactor: improve config validation and fix unidirection data flow
- Frontend: Fix one-way data flow in TemplateListEditor.vue by cloning entries before applying defaults and emitting updates instead of in-place modification.
- Frontend: Remove unused TemplateListEditor import in ConfigItemRenderer.vue.
- Backend: Refactor validate_config in config.py by extracting _expect_type and _validate_template_list helpers to reduce nesting and complexity.
* perf(satori): increase websocket max message size to 10MB
Add max_size parameter to websocket connection to handle larger messages
and prevent connection drops when receiving large payloads from Satori platform.
* chore: ruff format
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Co-authored-by: Soulter <37870767+Soulter@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>
* fix: handle None values in _extract_usage to prevent TypeError
Some LLM providers (especially API proxies) may return None for
prompt_tokens and completion_tokens in the usage response. This
causes a TypeError when attempting arithmetic operations.
Added null checks with fallback to 0 for both prompt_tokens and
completion_tokens before performing calculations.
* refactor: use explicit None check and reuse cached variable
- Use `is None` instead of `or 0` to avoid masking unexpected falsy values
- Reuse `cached` variable for `input_cached` to avoid redundant calculation
* ruff format
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Co-authored-by: Soulter <905617992@qq.com>
* feat(command): persist aliases on rename and apply to runtime filter
* feat(dashboard-api): support aliases in rename command endpoint
* feat(dashboard-ui): add alias editor to rename command dialog
* feat(dashboard-ui): enhance alias editor UI in rename dialog
- Expanded model name checks to include specific Gemini 2.5 and 3 variants, ensuring correct configuration for thinking parameters based on the model used.
* fix: improve error handling in tool execution to prevent infinite tool call loops
- Enhanced error handling in `call_local_llm_tool` to provide more informative exceptions for ValueError and TypeError, including detailed parameter information.
- Updated `ToolLoopAgentRunner` to yield appropriate messages for cases with no response or unsupported types, ensuring clearer communication to users.
- Improved logging and messaging consistency across tool execution processes.
* refactor: clean up unused router parameter in message retrieval functions
- Removed the unused `router` parameter from `getSessionMessages` and related function calls in `Chat.vue` and `useMessages.ts`.
- Commented out the `tool_calls` dictionary in `chat.py` for clarity, indicating it is not currently in use.
* fix: enhance exception handling in tool execution for clearer error reporting
- Improved exception handling in `call_local_llm_tool` by chaining exceptions for ValueError and TypeError, providing more context in error messages.
- Ensured that traceback information is preserved in raised exceptions for better debugging.
* perf(agent): add max step limit to prevent infinite tool call loops
* feat: implement max step limit handling in main agent runner
- Enhanced the agent runner to enforce a maximum step limit, logging a warning and forcing a final response when the limit is reached.
- Updated message handling to append a user prompt when the tool call limit is exceeded.
- Refactored tool response handling to yield appropriate messages based on the response type, including handling cases with no response or unsupported types.
- Improved conversation message formatting to ensure consistent output in the assistant's responses.
* chore: ruff format
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Co-authored-by: Soulter <905617992@qq.com>
- Introduced logging warnings in ProviderManager and Context classes when a provider ID is not found, indicating potential issues due to ID modifications.
- Updated the ProviderPage.vue to advise against modifying provider IDs, highlighting possible configuration impacts.
* 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
- Renamed "QQ 个人号(OneBot v11)" to "OneBot v11" in the configuration.
- Added a new logo for OneBot in the dashboard assets.
- Updated platform icon retrieval logic to include the new OneBot logo.
* fix: validation error for ToolCall.extra_content in specific upstream model providers
* fix: handle missing extra_content gracefully in ToolCall serialization