* fix: tool definition does not pass back to gemini properly, causing repeated tool calls.
fixes: #8789fixes: #8773fixes: #7111fixes: #6402fixes: #7684
* fix: remove unnecessary logging and improve log messages in Gemini source
* fix: improve type checking for tool calls in Google Gemini provider
* 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'
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
* 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
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Co-authored-by: Soulter <905617992@qq.com>
* fix(provider): wrap batch embedding texts in Content to avoid collapse on gemini-embedding-2
* fix(gemini_embedding): format list comprehension for better readability
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Co-authored-by: Rat0323 <Rat0323@users.noreply.github.com>
Co-authored-by: Soulter <905617992@qq.com>
Set MiniMax-M3 as the default fallback model for the Token Plan provider.
The model list itself is already fetched dynamically from the MiniMax API,
so all available models including M3 are auto-discovered. This change just
updates the hardcoded fallback used when no model is configured to the
current flagship.
MiniMax-M2.7 remains fully usable; users can still configure it explicitly.
* fix: handle delta=None chunks in streaming to prevent SDK to_dict() error
When certain OpenAI-compatible providers (Gemini, DeepSeek, some proxies)
return chunks with choice.delta=None (e.g. ContentBlockDeltaEvent),
ChatCompletionStreamState._convert_initial_chunk_into_snapshot internally
calls choice.delta.to_dict() at line 747, causing:
'NoneType' object has no attribute 'to_dict'
Fix:
1. Skip handle_chunk when delta is None (delta=None chunks have no
content contribution anyway)
2. Wrap get_final_completion in try/except to gracefully fall back to
empty ChatCompletion if SDK state is corrupted
Refs: openai-python#5069, openai-python#5047
* fix: resolve bugs found by Sourcery and gemini-code-assist review
- Remove orphan logger.error that caused NameError on every chunk
- Replace broken empty ChatCompletion fallback with clean return;
streamed content already yielded, no data loss
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* fix: properly replace get_final_completion fallback in _query_stream
Previous fix_pr_v3 wrongly injected code into terminate() instead.
Now correctly:
1. Replace empty ChatCompletion fallback with clean return in _query_stream
2. Revert terminate() to original (await self.client.close() only)
* fix: revert corrupted terminate() to original
Previous fix_pr_v3 injected wrong-indentation code into terminate().
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* 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
When both aiohttp and httpx are installed, google-genai prefers aiohttp
as the async HTTP backend. In error response paths, the aiohttp backend
returns raw aiohttp.ClientResponse objects that google-genai cannot handle,
masking real API errors with:
Unsupported response type: <class 'aiohttp.client_reqrep.ClientResponse'>
This fix explicitly creates an httpx.AsyncClient and passes it via
HttpOptions.httpx_async_client, ensuring the chat provider always uses
the httpx backend. The managed client is closed in terminate().
- Preserve HTTP_PROXY/HTTPS_PROXY support via trust_env=True.
- Preserve provider-level proxy via httpx.AsyncClient(proxy=...).
- Avoid logging full proxy URLs for security.
Fixes#7564
* fix(provider): fix Anthropic custom headers and system prompt compatibility
- Pass custom_headers via AsyncAnthropic's `default_headers` parameter
instead of creating a separate httpx.AsyncClient. This avoids
`isinstance` check failures when multiple httpx installations exist
on sys.path (e.g. bundled Python + system Python).
- Use list format for the `system` parameter (`[{"type": "text", ...}]`)
instead of a plain string. The list format is supported by the official
Anthropic API and is also compatible with third-party API proxies that
reject the string format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(provider): fix Anthropic custom headers and system prompt compatibility
- Pass custom_headers via AsyncAnthropic's `default_headers` parameter
instead of creating a separate httpx.AsyncClient. This avoids
`isinstance` check failures when multiple httpx installations exist
on sys.path (e.g. bundled Python + system Python).
- Use list format for the `system` parameter (`[{"type": "text", ...}]`)
instead of a plain string. The list format is supported by the official
Anthropic API and is also compatible with third-party API proxies that
reject the string format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* Add test unit
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Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* fix: 压缩算法删除 user 消息 Bug 修复
* perf: improve truncate algo
* fix: improve context length error detection for PPIO platform compatibility
- Extend error detection to handle PPIO's error message format:
'The input is longer than the model's context length'
- Add case-insensitive matching using .lower() for robustness
- Maintain backward compatibility with existing 'maximum context length' check
This fixes the issue where PPIO platform models (e.g., ppio/zai-org/glm-5-turbo)
would fail with AgentState.ERROR due to unrecognized context length errors.
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Co-authored-by: Soulter <905617992@qq.com>
* feat: add one-line deploy script (deploy-cli.sh) and update cli.md
- Add docs/scripts/deploy-cli.sh for one-command deployment (Linux/macOS/WSL)
- Update docs/zh/deploy/astrbot/cli.md to reference local script
- Replace non-existent https://astrbot.app/deploy.sh with raw.githubusercontent.com URL
- Add local run tip and WSL-based Windows support
* fix: address PR review feedback for deploy-cli.sh
- Replace sort -V with Python-native version check (macOS BSD compat)
- Bump Python requirement from >=3.10 to >=3.12 (match pyproject.toml)
- Detect current directory as project root (avoid nested clone)
- Handle existing non-git directory explicitly
- Add curl dependency check
- Support ASTRBOT_REPO and ASTRBOT_DIR env vars for forks/mirrors
- Update cli.md version description to match
* feat: add Windows PowerShell deploy script and update docs
- Add deploy-cli.ps1 for Windows native environment (PowerShell 7+)
- Update cli.md to document Windows one-liner deployment
- Add local script execution instructions for both bash and ps1
* refactor: standardize log messages and improve clarity in various modules
Co-authored-by: Copilot <copilot@github.com>
* docs: 移除一行命令快速部署部分，简化安装说明
* feat: 添加脚本以复制部署 CLI 文件并更新构建命令
* refactor: 更新日志消息以提高可读性，统一英文提示信息
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Co-authored-by: Soulter <905617992@qq.com>
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Weilong Liao <37870767+Soulter@users.noreply.github.com>
* fix: update reasoning_content handling to support empty string values
* fix: add reasoning_content field for DeepSeek v4 models in assistant messages
PR #7202 added empty-assistant filtering in `_query` so strict
providers (Moonshot, etc.) wouldn't 400 on history with blank
assistant entries. The streaming sibling `_query_stream` was
never updated, so DeepSeek Reasoner — which returns reasoning only
during tool calls, leaving serialized content as `""` — blew up with
`Invalid assistant message: content or tool_calls must be set` on
the next turn.
Hoisted the filter into a `_sanitize_assistant_messages` helper and
called it from both paths. Also widened the empty check to cover
`content == []`, which the original filter missed and which shows up
with providers that emit content as a list of parts.
* 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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* 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: add MiniMax Token Plan provider with hardcoded model list (fix#7585)
- Add new provider 'minimax_token_plan' for MiniMax Token Plan users
- Inherit ProviderAnthropic to reuse all chat/completion logic
- Hardcode api_base to https://api.minimaxi.com/anthropic
- get_models() returns hardcoded list: MiniMax-M2.7, M2.5, M2.1, M2
- Highspeed models excluded (require premium tier)
- Reason for hardcoding: Token Plan API does not expose /models endpoint
- Fixes: https://github.com/AstrBotDevs/AstrBot/issues/7585
* fix: remove api_base from config template and add model validation
- Remove api_base from default_config_tmpl (always overridden, misleading)
- Add model validation against MINIMAX_TOKEN_PLAN_MODELS
- Raise clear ValueError if user configures an unsupported model
Addressed Sourcery AI review comments.
* fix: use custom_headers for Bearer token auth instead of auth_header
MiniMax Token Plan requires Authorization: Bearer <token> header.
Use custom_headers to inject the correct auth header instead of
the non-functional auth_header key.
Addressed Gemini Code Assist review comment.
* fix: update MiniMax Token Plan provider adapter and documentation to English
* feat: add MiniMax Token Plan configuration and icon support
* feat: remove default configuration template from MiniMax Token Plan provider adapter
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Co-authored-by: Soulter <905617992@qq.com>
