Virtual models generated from multi-key expansion are now marked and
filtered during config persistence. Virtual models display with a badge
in the UI and cannot be set as default.
* add handler for empty message
* fix undefined: time
* fix linter
* update test to remove 100ms wait time since the handleMessage publishes synchronously
* perf(pico): implement O(1) session lookup for pico connections
- Replace `sync.Map` with `connections` and `sessionConnections`.
- Add `addConnection`, `removeConnection`, `sessionConnectionsSnapshot`, and `takeAllConnections` with `connsMu` for concurrency.
- `broadcastToSession` now dispatches directly to `sessionConnections`.
- Add `newUniqueConnID` to avoid UUID collision/overwrites.
- Ensure `Stop` and `readLoop` use the new helpers for safe cleanup and correct `connCount` updates.
* refactor(pico): replace addConnection with createAndAddConnection for atomic connID generation
* refactor(pico): clear connections in one time to improve perf
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* fix(pico): keep connCount consistent with connection indexes
* refactor(pico): make connCount a regular int guarded by connsMu
* fix(pico): enforce MaxConnections atomically on registration
* fix(pico): use temporary over-limit error and remove conn counter
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
- Add `crypto_database_path` and `crypto_passphrase` configuration
- Integrate cryptohelper for decrypting `m.room.encrypted` events
- Handle both plaintext and encrypted messages in `handleMessageEvent`
- Enable `goolm` build tag for libsignal crypto support
Fixes#1840.
- persist Weixin bindings, enable the channel automatically, and try to restart the gateway
- refresh frontend channel and gateway state after successful binding
- harden QR polling state handling and update related channel UI behavior
- localize sidebar channel priority, add Weixin icon support, and add backend test coverage
Validate tool call arguments against each tool's Parameters() JSON Schema
in ExecuteWithContext() before calling Execute(). This prevents type
confusion, argument injection, and missing-field errors from reaching tools.
Validates: required fields, type matching (string/integer/number/boolean/
array/object), enum membership, nested objects (recursive), array element
types. Rejects unexpected extra properties unless additionalProperties is
set to true (for MCP tool compatibility).
Returns ToolResult{IsError: true} on failure so the LLM can self-correct.
Ref: Security Hardening > Tool abuse prevention via strict parameter validation
Export EnsurePicoChannel and reuse it during launcher and gateway startup
so the Pico channel is initialized earlier with a generated token when
needed.
Also extend backend tests to cover startup-time Pico setup behavior and
keep the setup path idempotent.
Make POST /api/models capture the request's api_key and store it via
ModelConfig.SetAPIKey before saving config, so newly added models keep
their credentials in the security config.
Add a backend API test covering model creation with api_key persistence.
Normalize missing security sections when attaching, loading, and saving
security config so existing config files without `.security.yml` can still
be updated safely. This fixes Pico channel setup for legacy/existing configs
and adds coverage for the missing security file path and unexported JSON
field behavior.
- ensure at least 40% of the characters are masked for secrets of length 4 or more
- secrets with length <= 6 now show first and last char with mask
- secrets with length <= 12 now show first two and last two chars
- longer secrets show 3 prefix and 4 suffix
* feat: add ElevenLabs Scribe STT transcriber and Telegram SendVoice support
Add ElevenLabsTranscriber as an alternative speech-to-text provider using
the ElevenLabs Scribe API (scribe_v1). This enables voice message
transcription for users who already have an ElevenLabs API key, without
requiring a separate Groq account.
Changes:
- Add ElevenLabsTranscriber implementing the Transcriber interface
- Update DetectTranscriber to check providers.elevenlabs.api_key first,
falling back to Groq for backward compatibility
- Add ElevenLabs to ProvidersConfig
- Add "voice" media type for OGG files with "voice" in filename
- Add SendVoice support in Telegram channel for voice bubble messages
- Add comprehensive tests for ElevenLabs transcriber
Configuration:
"providers": {
"elevenlabs": {
"api_key": "sk_your_key_here"
}
}
Closes#1503 (partial)
* fix: move voice-bubble detection into Telegram channel to avoid regression in other channels
Address review feedback: keep inferMediaType returning "audio" for all
OGG files. Voice-bubble detection (SendVoice vs SendAudio) is now done
inside the Telegram channel based on filename, so other channels that
map "audio" explicitly are unaffected.
* fix: align VoiceConfig struct tags to pass golines formatter
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix(agent): use ModelName in loop test added by upstream
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Add support for AWS Bedrock as an LLM provider using the Converse API.
The implementation is behind a build tag (-tags bedrock) to keep the
default binary size small.
Features:
- AWS SDK v2 with automatic credential chain (env vars, profiles, IAM roles)
- Converse API for unified access to Claude, Llama, Mistral models
- Tool/function calling support with proper document handling
- Image support with base64 decoding and size limits
- Request timeout configuration
- Region validation and endpoint resolution for all AWS partitions
Usage:
go build -tags bedrock
model: bedrock/us.anthropic.claude-sonnet-4-20250514-v1:0
api_base: us-east-1 (or full endpoint URL)
LLM
Prevent LLM from seeing its own credentials (API keys, tokens, secrets)
by filtering sensitive values from tool call results before sending to
the
model. Values are collected from .security.yml and replaced with
[FILTERED] using an efficient strings.Replacer (O(n+m)).
- Add FilterSensitiveData and FilterMinLength to ToolsConfig
- Implement SensitiveDataReplacer() with sync.Once caching in
SecurityConfig
- Use reflection to collect all sensitive values (Model API keys,
channel
tokens, web tool API keys, skills tokens)
- Apply filtering in agent loop at 4 tool result locations
- Add comprehensive tests covering all token types
daming大铭