* fix: unify media reference handling
* fix: accept bare base64 record media refs
* chore: update agents.md
* fix: unify file URI handling across media components and utilities
* fix: unify media reference type handling with MediaRefStr alias
* Potential fix for pull request finding 'CodeQL / Incomplete URL substring sanitization'
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* Update astrbot/core/platform/sources/discord/discord_platform_adapter.py
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
* fix: unify media handling and improve base64 decoding across components
* fix: simplify client_kwargs type definition and enhance media message handling in platform adapter
* fix: unify media utility documentation and enhance function descriptions
* perf: drop "pilk" requirement, improve audio outbound for tencent-related IM apps which using silk
* fix: unify Tencent Silk audio handling and enhance media resolver functionality
---
- Centralize media reference materialization and base64 resolution for local paths, http(s), base64://, data URIs, and legacy bare base64 payloads.
- Normalize incoming Record audio to wav and Image media to temporary jpg during preprocess, with event-scoped cleanup.
- Reuse the shared media resolver across OpenAI, Gemini, Anthropic, MiMo, DeerFlow, STT, and platform media paths while sanitizing logs and cleaning temporary conversion outputs.
- Ensure generated TTS audio is tracked for cleanup after the event finishes.
fix#8676fix#8543fix#7588fix#7580fix#8030fix#8034fix#7461fix#7565fix#6509fix#7144fix#7795
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* fix(context): restore turn cap, serialize content parts and tool calls for llm compress, fix AftCompact debug log
Three context-compaction regression fixes after #8226:
1. Restore max_context_length -> enforce_max_turns propagation so
normal turn-based truncation works again.
2. Serialize ContentPart and ToolCall objects into plain dicts in
_message_to_dict so llm_compress no longer fails with JSON
serialization errors.
3. Print _provider_messages (compacted) instead of run_context.messages
(unchanged) in AftCompact debug log; truncate long role lists to
first4,...,last4 to avoid log spam.
Assertions in tests are also hardened to avoid coupling to exact prompt
wording.
* fix(tool_loop_agent_runner): simplify context handling by removing redundant provider messages
* fix(tool_loop_agent_runner): rename context manager variables for clarity
* fix: update context compression to use recent token ratio instead of fixed count
* fix: enhance LLMSummaryCompressor to sanitize contexts and improve message handling
* ruff format
---------
Co-authored-by: Soulter <905617992@qq.com>
* refactor(ltm): redesign long-term memory with context compaction
- Add raw_records / contexts / summaries data model per group
- Add LLM summary compaction strategy alongside truncation
- Add turn-based (_split_into_rounds) granularity
- Add image caption integration into LTM history
- Add tool_call / tool_result persistence into raw_records
- Add active reply support driven by LTM state
- Improve summary injection prefix with system note and delimiters
- Add info-level logging for summary compaction lifecycle
- Clarify default summary prompt with explicit preserve/drop rules
- Add context_guard for history overflow protection in agent runner
- Add internal agent history compaction in agent_sub_stages
- Add comprehensive LTM unit tests and compaction test suites
* fix(ltm): handle malformed JSON in tool args and clean up lock on session removal
* fix(ltm): guard against duplicate system prompt note injection
* fix(ltm): fall back to user message when internal marker parsing fails
- Treat lines starting with <T:CALL>, <T:RES, or <BOT/ as regular user
messages when their respective parsers return None, instead of silently
dropping them. Defensive guard against malformed internal markers.
* fix(ltm): release session lock during LLM summary generation
* fix(ltm): trim raw_records in handle_message to prevent unbounded growth
* perf(ltm): use len(s) instead of len(s.encode()) in trim loop
Avoid allocating a new bytes object for every string when calculating
buffer size in _trim_raw_records. Character count is sufficient for
the approximate memory cap.
* feat(ltm): make user segment truncation limits configurable
* feat(ltm): pre-fill default LTM summary prompt in config and i18n
* refactor(ltm): hardcode internal segment/trim constants
* refactor(ltm): unify compaction strategy with main agent runner
* feat(ltm): add @mention weight marker for group chat messages
* test: fix test failures from LTM compaction unification
* chore(dashboard): remove obsolete LTM compaction i18n metadata
* chore: shrink codebase
* feat(group-chat): implement group chat context management and related functionality
---------
Co-authored-by: Tsukumi <112180165+Tsukumi233@users.noreply.github.com>
Co-authored-by: zenfun <zenfun510@gmail.com>
Co-authored-by: Soulter <905617992@qq.com>
Only overwrite tool-call-related fields from the re-query response, preserving the original completion_text and reasoning_content that were already sent to the user.
* fix: handle None tool arguments returned by Claude API for no-parameter tools
* fix: handle None tool arguments from Claude API for no-parameter tools
* fix: generalize None tool args comment
* fix: generalize None tool args comment
* 去除空格，以保证格式正确
* feat: add inline message editing and regeneration functionality for webui
- Implemented inline editing for user messages in the chat component.
- Added a regenerate menu for retrying messages with different models.
- Enhanced message handling to include llm_checkpoint_id for better tracking.
- Updated localization files to include new actions for retrying and model selection.
- Introduced tests for checkpoint message handling and chat route functionality.
* feat: thread mode in webui
* feat: enhance message editing functionality to allow only the latest user message to be edited
* feat: add error handling and user feedback for thread creation in chat component
* feat: add thread count display and localization support in chat component
* feat: add RefsSidebar component and integrate reference management in chat UI
* feat: improve message editing validation and cleanup for bot messages
* feat: enhance checkpoint message handling with binding and dumping functionality
# Conflicts:
# astrbot/core/agent/message.py
# astrbot/core/agent/runners/tool_loop_agent_runner.py
# astrbot/core/astr_main_agent.py
# astrbot/core/db/sqlite.py
# astrbot/core/pipeline/process_stage/method/agent_sub_stages/internal.py
# astrbot/core/platform/sources/webchat/webchat_adapter.py
# astrbot/dashboard/routes/chat.py
# astrbot/dashboard/routes/live_chat.py
# dashboard/src/components/chat/Chat.vue
# dashboard/src/components/chat/ChatInput.vue
# dashboard/src/components/chat/ChatMessageList.vue
# dashboard/src/components/chat/ProviderModelMenu.vue
# dashboard/src/components/shared/StyledMenu.vue
# dashboard/src/composables/useMessages.ts
# dashboard/src/i18n/locales/ru-RU/features/chat.json
* fix: update reasoning_content handling to support empty string values
* fix: add reasoning_content field for DeepSeek v4 models in assistant messages
* perf: improve tool calls in reasoning and multiple tool calls display
- Updated LiveChatRoute and OpenApiRoute to replace manual message accumulation with BotMessageAccumulator.
- Simplified message saving logic by using build_bot_history_content and collect_plain_text_from_message_parts.
- Enhanced message processing to handle various message types (plain, image, record, file, video) more efficiently.
- Improved reasoning handling by extracting thinking parts and displaying them correctly in the UI components.
- Refactored message normalization and reasoning extraction logic in useMessages composable for better clarity and maintainability.
- Updated ChatMessageList, MessageList, StandaloneChat, and ReasoningBlock components to accommodate new message structure and rendering logic.
* feat(chat): reasoning activity panel
- Introduced a new ReasoningSidebar component for displaying reasoning details.
- Refactored MessageList and StandaloneChat components to utilize renderBlocks for improved message part handling.
- Added ReasoningTimeline component to visualize reasoning steps.
- Updated message handling logic to differentiate between thinking and content blocks.
- Enhanced localization for reasoning-related terms in English, Russian, and Chinese.
- Improved styling for various components to ensure consistency and readability.
* Update astrbot/dashboard/routes/chat.py
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
---------
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remove deprecated API modules and example scripts; update core modules
(agents, providers, tools, platform adapters, utils), dashboard package
and components, and unit tests.
* fix: handle reasoning_content when completion_text is empty (kimi-for-coding thinking mode)
* fix: use elif for result_chain/completion_text to avoid duplication, keep reasoning_content independent per review feedback
---------
Co-authored-by: Blueteemo <Blueteemo@users.noreply.github.com>
* feat: add inline message editing and regeneration functionality for webui
- Implemented inline editing for user messages in the chat component.
- Added a regenerate menu for retrying messages with different models.
- Enhanced message handling to include llm_checkpoint_id for better tracking.
- Updated localization files to include new actions for retrying and model selection.
- Introduced tests for checkpoint message handling and chat route functionality.
* feat: thread mode in webui
* feat: enhance message editing functionality to allow only the latest user message to be edited
* feat: add error handling and user feedback for thread creation in chat component
* feat: add thread count display and localization support in chat component
* feat: add RefsSidebar component and integrate reference management in chat UI
* feat: improve message editing validation and cleanup for bot messages
* feat: enhance checkpoint message handling with binding and dumping functionality
* feat: update FileReadTool description to mention image and PDF support
Add explicit mention of image (OCR) and PDF (text extraction) support
to the FileReadTool description for better discoverability.
* feat: update FileReadTool description to include support for docx and epub files; change base64 decoding to utf-8
* feat: enhance ToolLoopAgentRunner to support image and audio modalities; add context sanitization logic
Improve robustness of tool call handling in OpenAI completions and agent tool loop by avoiding premature filtering and surfacing clearer errors when tools are missing.
* Refactor tool call argument handling in openai_source.py
* Improve error logging for missing tools
Log available tools when a specified tool is not found.
* feat: filesystem grep, read, edit file
* feat: add file write tool and enhance file read functionality
* feat: enhance tool prompt formatting and add escaped text decoding for file editing
* feat: remove redundant safe path tests from security restrictions
* feat: implement file read tool with support for text and image files, including validation for large files
* feat: add file read utilities and integrate with filesystem tools
* refactor: move computer tools to builtin tools registry
* refactor: remove unused plugin_context parameter from _apply_sandbox_tools
* feat: supports to display enabled builtin tools in configs
* feat: add tooltip for disabled builtin tools and update localization strings
* feat: add workspace extra prompt handling in message processing
* feat: add ripgrep installation to Dockerfile
* perf: shell executed in workspace dir in local env
* feat: enhance file reading capabilities to support PDF and DOCX parsing, including workspace storage for long documents
* feat: update converted text notice to suggest using grep for large files
* feat: implement handling for large tool results with overflow file writing and read tool integration
* fix: test
* feat: enhance onboarding steps to include computer access configuration and related help information
* feat: add support for additional temporary path in restricted environment checks
* feat: update computer access hints and add detailed configuration instructions
message.py:
- Use TypeGuard for type narrowing instead of isinstance checks
- Improve type annotations for ContentPart validation
- Add type annotations for content part registry
mcp_client.py:
- Improve type annotations and code quality
runners (base, dashscope, deerflow, dify, tool_loop):
- Add/improve type annotations
- Clean up code structure
tool.py & tool_image_cache.py:
- Improve type annotations
