* Add Kimi Code provider
* Add icon mapping for Kimi Code provider
* Clarify Kimi CodingPlan provider labeling
* Refine Kimi Code header handling
* modified docker compose
* fix: correct Kimi Coding Plan label and update API base URL
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Co-authored-by: Soulter <905617992@qq.com>
- Dashboard: Catch missing index.html error, log warning, and disable WebUI instead of crashing.
- Dashboard: Use anyio.Path for async file existence checks in SSL config.
- CLI/Backup: Replace blocking file operations with anyio async operations.
- Core: Replace blocking file operations with anyio in Coze/Dify clients and TTS simulation.
- Provider: Rename 'timeout' param to 'init_timeout'/'request_timeout' to fix ASYNC109 warnings.
- Ruff: Fix various ASYNC230/ASYNC240 errors across multiple files.
* fix: only pass dimensions param when explicitly configured
Models like bge-m3 don't support the dimensions parameter in the
embedding API, causing HTTP 400 errors. Previously dimensions was
always sent with a default value of 1024, even when the user never
configured it. Now dimensions is only included in the request when
embedding_dimensions is explicitly set in provider config.
Closes#6421
Signed-off-by: JiangNan <1394485448@qq.com>
* fix: handle invalid dimensions config and align get_dim return
- Add try-except around int() conversion in _embedding_kwargs to
gracefully handle invalid embedding_dimensions config values
- Update get_dim() to return 0 when embedding_dimensions is not
explicitly configured, so callers know dimensions weren't specified
and can handle it accordingly
- Both methods now share consistent logic for reading the config
Signed-off-by: JiangNan <1394485448@qq.com>
* fix: improve logging for invalid embedding_dimensions configuration
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Signed-off-by: JiangNan <1394485448@qq.com>
Co-authored-by: Soulter <905617992@qq.com>
* Fix CreateSkillPayloadTool array schema missing items field
The payload parameter's anyOf array variant lacked an items field,
causing Gemini API to reject the tool declaration with 400 Bad Request:
'parameters.properties[payload].any_of[1].items: missing field.'
Add items: {type: object} to the array variant to satisfy the Gemini
API requirement for array type schemas.
Fixes#6279
* Fix TypeError when OpenAI-compatible API returns null choices
Some providers (e.g. OpenRouter) may return a completion where
choices is None rather than an empty list — for instance on rate
limiting, content filtering, or transient errors. The existing code
used len(completion.choices) which throws TypeError on None.
Replace all len(...choices) == 0 checks with 'not ... .choices' which
handles both None and empty list. Affects _query_stream, _parse_openai_completion,
and _extract_reasoning_content.
Fixes#6252
In _handle_api_error(), when a 429 rate-limit is encountered, the code
calls available_api_keys.remove(chosen_key). If the same key was already
removed in a previous retry iteration (e.g. the key rotated back to the
same value), this raises ValueError which crashes the entire LLM request
with an opaque error instead of a proper retry/fallback.
Add a membership check before calling remove() to prevent the crash.
Co-authored-by: easonysliu <easonysliu@tencent.com>
- Add audio data validation in MiniMax TTS get_audio() method to detect empty responses
- Validate generated audio file size in TTSProvider.test() to ensure valid output
- Provide detailed error messages guiding users to check group_id configuration
- Auto-cleanup test audio files after validation
- Fixes issue where 0KB audio files would pass TTS detection when group_id is not configured
* fix(provider): handle MiniMax ThinkingBlock when max_tokens reached
Fixes#5912
Problem: MiniMax API returns ThinkingBlock when stop_reason='max_tokens',
but AstrBot throws 'completion 无法解析' exception because both
completion_text and tools_call_args are empty.
Root cause: The validation logic didn't consider ThinkingBlock
(reasoning_content) as valid content.
Fix: When completion_text and tools_call_args are empty but
reasoning_content is present, treat it as valid instead of throwing
exception. This happens when the model thinks but runs out of tokens
before generating the actual response.
Impact: MiniMax models now work correctly when responses are truncated
due to max_tokens limit.
* refactor: address review feedback
1. Use getattr for safe stop_reason access (prevent AttributeError)
2. Use ValueError instead of generic Exception for better error handling
Thanks @gemini-code-assist and @sourcery-ai for the review!
* refactor: flatten nested if/else with guard clause
Address Gemini Code Assist feedback:
- Use guard clause for early return
- Flattened nested conditional for better readability
Logic unchanged, just cleaner code structure.
* fix(provider): improve logging for ThinkingBlock completions in ProviderAnthropic
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Co-authored-by: Soulter <905617992@qq.com>
* fix(dashboard): 强化 API Key 复制临时节点清理逻辑
* fix(embedding): 自动检测改为探测 OpenAI embedding 最大可用维度
* fix: normalize openai embedding base url and add hint key
* i18n: add embedding_api_base hint translations
* i18n: localize provider embedding/proxy metadata hints
* fix: show provider-specific embedding API Base URL hint as field subtitle
* fix(embedding): cap OpenAI detect_dim probes with early short-circuit
* fix(dashboard): return generic error on provider adapter import failure
* 回退检测逻辑
* feat: add Anthropic Claude Code OAuth provider and adaptive thinking support
* fix: add defensive guard for metadata overrides and align budget condition with docs
* refactor: adopt sourcery-ai suggestions for OAuth provider
- Use use_api_key=False in OAuth subclass to avoid redundant
API-key client construction before replacing with auth_token client
- Generalize metadata override helper to merge all dict keys
instead of only handling 'limit', improving extensibility
* ci: remove Electron desktop build from release pipeline
* chore: remove electron desktop and switch to tauri release trigger
* ci: remove desktop workflow dispatch trigger
* refactor: migrate data paths to astrbot_path helpers
* fix: point desktop update prompt to AstrBot-desktop releases
* fix: handle list format content from OpenAI-compatible APIs
Some LLM providers (e.g., GLM-4.5V via SiliconFlow) return content as
list[dict] format like [{'type': 'text', 'text': '...'}] instead of
plain string. This causes the raw list representation to be displayed
to users.
Changes:
- Add _normalize_content() helper to extract text from various content formats
- Use json.loads instead of ast.literal_eval for safer parsing
- Add size limit check (8KB) before attempting JSON parsing
- Only convert lists that match OpenAI content-part schema (has 'type': 'text')
to avoid collapsing legitimate list-literal replies like ['foo', 'bar']
- Add strip parameter to preserve whitespace in streaming chunks
- Clean up orphan </think> tags that may leak from some models
Fixes#5124
* fix: improve content normalization safety
- Try json.loads first, fallback to ast.literal_eval for single-quoted
Python literals to avoid corrupting apostrophes (e.g., "don't")
- Coerce text values to str to handle null or non-string text fields
* feat: temporary file handling and introduce TempDirCleaner
- Updated various modules to use `get_astrbot_temp_path()` instead of `get_astrbot_data_path()` for temporary file storage.
- Renamed temporary files for better identification and organization.
- Introduced `TempDirCleaner` to manage the size of the temporary directory, ensuring it does not exceed a specified limit by deleting the oldest files.
- Added configuration option for maximum temporary directory size in the dashboard.
- Implemented tests for `TempDirCleaner` to verify cleanup functionality and size management.
* ruff
* 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>