* fix(kb): clean up KBMedia records on document delete, fix update_kb_stats
- delete_document_by_id now deletes associated KBMedia records before
removing the KBDocument row, preventing orphaned media data.
- update_kb_stats now passes kb_id filter to vec_db.count_documents,
fixing chunk count that previously counted across all KBs.
- add tests for document deletion cleanup and update_kb_stats behavior.
* fix(kb): merge media and document deletion into single transaction
- Add ExaWebSearchTool (web_search_exa) with keyword/semantic search,
category filters, domain restrictions, and date range support
- Add ExaGetContentsTool (exa_get_contents) for extracting web page content
- Add _exa_search() and _exa_get_contents() API helpers hitting
https://api.exa.ai/search and https://api.exa.ai/contents
- Add _EXA_KEY_ROTATOR for multi-key rotation
- Register Exa tools in _apply_web_search_tools() dispatch
- Add Exa to WEB_SEARCH_CITATION_TOOL_NAMES for citation support
- Add websearch_exa_key config default and provider option
- Add i18n metadata for en-US, zh-CN, ru-RU
- Add Exa section to docs (en + zh)
- Add 6 unit tests covering search, contents, error handling, and
legacy config migration
Closes#5621
* refactor: migrate to fastapi
* structure refactor
* fix: pyright fix
* refactor: improve error handling and public messages in plugin services
* feat(api): refactor API client integration and enhance request handling
- Updated API client configuration to use a dedicated HTTP client.
- Introduced utility functions for generating options, queries, and form data for API requests.
- Refactored multiple API methods to utilize the new utility functions for improved consistency and readability.
- Renamed types for clarity and updated import statements accordingly.
feat(docs): add script to update OpenAPI JSON from YAML spec
- Created a Python script to convert OpenAPI YAML specification to JSON format.
- The script supports customizable input and output paths.
- Ensured the script handles directory creation for output paths and validates the YAML structure.
* fix
* feat(auth): implement rate limiting for v1 login endpoint and enhance request handling
* Refactor dashboard API routers to use legacy_router for backward compatibility
- Changed all instances of dashboard_router to legacy_router across multiple API modules including platform, plugins, providers, sessions, skills, stats, subagents, t2i, tools, updates, and asgi_runtime.
- Updated route definitions to ensure existing endpoints remain functional under the new router structure.
- Introduced support for Quart request context in asgi_runtime to enhance compatibility with existing Quart-based plugins.
- Added a test case to validate the functionality of the new Quart request context handling in plugin extensions.
* chore: remove cli test
* fix: update dashboard tests for fastapi migration
* chore: satisfy ruff checks
* fix: update openapi api key scopes
* fix: sync config scope chip selection
* fix: restore quart dependency
* docs: clarify quart plugin api compatibility
* docs: update openapi scope documentation
* fix: use singular skill openapi scope
* fix: hide update service exception details
* fix: address fastapi review comments
* fix: address dashboard review findings
* docs: revert unrelated package deployment changes
* docs: update agent api generation guidance
* feat: add plugin page web api helpers
* docs: add plugin page bridge demo
* fix: type plugin upload files
* fix: stabilize plugin page uploads
* fix: type plugin web request proxy
* docs: remove plugin page docs example
* fix: authenticate plugin page SSE bridge
* 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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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
* 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>
* fix(ltm): prevent wake commands from being recorded as group chat context
* test: fix mock event get_extra return value in group context wiring tests
* test: strengthen group context mock and add slash-command skip test
* feat: add TOTP two-factor authentication for dashboard login
* fix: ensure TOTP verification uses UTC for accurate time comparison
* fix: update recovery code validation logic for disabling TOTP
* test: add unit tests for TOTP functionality and recovery code validation
* chore: format
* feat: add trust_proxy_headers switch for auth rate-limit IP source
* feat: make dashboard auth rate-limit configurable via system settings
Add auth_rate_limit config block to dashboard settings with enable
(default: true), average_interval (default: 1.0s), and max_burst
(default: 3) options. The dashboard auth middleware now reads from
config instead of using hardcoded values. The average_interval and
max_burst fields are conditionally shown only when rate limiting is
enabled.
* fix: normalize dashboard client IP from trusted proxy headers
* refactor: encapsulate rate limiter state into registry, add TTL
* feat: show dynamic page title during two-factor verification
* fix: require two-factor verification for protected config saves
* chore: format
* refactor: reorganize TOTP verification UI components for better layout
* refactor: clean up recovery stage UI by removing unused styles and improving label handling
* docs: add TOTP two-factor authentication documentation for WebUI
---------
Co-authored-by: Soulter <905617992@qq.com>
* fix: improve template list config handling
* feat(webui): show template list display item
* feat(webui): allow hiding template list hints
* docs: document template list metadata fields
* fix: support file fields in template list configs
* 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>
