* refactor: support explicit model list providers
* fix(web): preserve explicit model providers
* fix(web): preserve legacy provider prefixes on model updates
fix(models): normalize explicit provider-prefixed ids
fix(api): preserve legacy model updates across providers
fix(agent): preserve config identity for explicit provider refs
* fix ci
* feat(web): download attachments in frontend
* fix: proxy pico media and force svg downloads
* feat(web): hide ephemeral media refs from persisted session history
* * completed
* * optimzie
* * fix format
* * fix pr check
* try to fix ci
* * Indicates that Windows does not support expos_paths, adding more mount paths for the Linux platform.
* fix isolation startup lifecycle and MCP transport wrapping
* fix isolation startup cleanup and optional Linux mounts
* fix isolation path handling for relative hooks
Preserve relative command and working-directory semantics when Linux isolation wraps subprocesses, and restore absolute argv path exposure to avoid startup regressions. Add hook coverage and docs updates so isolation-enabled process hooks keep working as configured.
* * fix ci
* feat(provider): add Venice AI support and update related documentation
* revert(asr): restore asr files to previous commit
* feat(config): add Venice API base URL and local LM Studio configuration
* fix(config): update Venice API base URL to correct endpoint
* feat(provider): add lmstudio vendor and local no-key behavior
* refactor(provider): consolidate protocol metadata and local tests
* fix(provider): sync lmstudio probing and model normalization
* test(web): format lmstudio model status cases for golines
Migrate Azure OpenAI provider from legacy Chat Completions API to the OpenAI Responses API.
- Switch API endpoint from `/openai/deployments/{deployment}/chat/completions` to `/openai/v1/responses`
- Change auth header from `Api-Key` to `Authorization: Bearer`
- Use `responses.ResponseNewParams` SDK types for request construction
- Extract shared Responses API utilities into `openai_responses_common` package
- Deduplicate 178 lines from codex_provider.go by reusing shared package
- Add 593 lines of comprehensive test coverage for the shared package
Closes#2111
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: add Xiaomi MiMo provider support
- Add 'mimo' protocol prefix support in factory_provider.go
- Add default API base URL for MiMo: https://api.xiaomimimo.com/v1
- Update provider-label.ts to include Xiaomi MiMo label
- Add MiMo to provider tables in both English and Chinese documentation
- Add comprehensive unit tests for MiMo provider
MiMo API is compatible with OpenAI API format, making it easy to integrate
with the existing HTTPProvider infrastructure.
Users can now use MiMo by configuring:
{
"model_name": "mimo",
"model": "mimo/mimo-v2-pro",
"api_key": "your-mimo-api-key"
}
* hassas dosyaları kaldırma
* Add .security.yml and onboard to .gitignore
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)
Anthropic API returns 400 when multiple tool_result blocks share the same
tool_use_id, or when consecutive tool results are sent as separate user
messages. This fix:
1. Adds ToolCallID deduplication in sanitizeHistoryForProvider (context.go)
to drop duplicate tool results before sending to any provider.
2. Merges consecutive tool result messages into a single user message with
multiple tool_result content blocks in Anthropic's buildRequestBody,
for both "user" (with ToolCallID) and "tool" role messages.
3. Adds tests for both behaviors.
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Allow configuring provider-specific fields like reasoning_split for minimax via
the model config's extra_body map. These fields are merged into the request
body last, giving them precedence over default values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add `AudioModelTranscriber` for model-based audio transcription via LLM providers
- Support selecting a transcription model with `voice.model_name` in config
- Keep Groq transcription as a fallback and move it into dedicated files with focused tests
- Serialize `data:audio/...` media as input_audio for OpenAI-compatible providers
- Improve transcription logging by rendering error fields as strings
- Add coverage for transcriber detection, audio-model behavior, provider audio serialization, and Groq transcription
Fixes#1890.
Kunal Karmakar