* Enhance Reply chain handling for Record components
Added processing for Record components within Reply chains, including WAV conversion and STT functionality.
* Refactor STT processing for Record components
* Add STT record function for voice-to-text processing
* Update stage.py
* Update stage.py
* Update stage.py
* feat: future task UI
* fix: update filter label for UMO in English and Chinese locales
* feat: enhance cron job management with delivery target handling and UI improvements
* fix: update session label to indicate optional delivery target
* feat: add tooltip for last run time and error in cron job display
* 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(provider): wrap batch embedding texts in Content to avoid collapse on gemini-embedding-2
* fix(gemini_embedding): format list comprehension for better readability
---------
Co-authored-by: Rat0323 <Rat0323@users.noreply.github.com>
Co-authored-by: Soulter <905617992@qq.com>
Refactor file handling to resolve sources more effectively, including decoding file URIs and handling base64 data. Update methods to ensure compatibility with different file formats and paths.
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.
* 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>
* 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>
