- 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.
- 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>
Soulter
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Oscar Shaw
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Misaka Mikoto
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