* feat(web): add provider oauth management ui
* feat: add OAuth callback support on port 1455
* feat: enhance reasoning effort options and support for OpenAI Codex OAuth
* feat: update twilight-ai dependency to v0.3.4
* refactor: promote openai-codex to first-class client_type, remove auth_type
Replace the previous openai-responses + metadata auth_type=openai-codex-oauth
combo with a dedicated openai-codex client_type. OAuth requirement is now
determined solely by client_type, eliminating the auth_type concept from the
LLM provider domain entirely.
- Add openai-codex to DB CHECK constraint (migration 0047) with data migration
- Add ClientTypeOpenAICodex constant and dedicated SDK/probe branches
- Remove AuthType from SDKModelConfig, ModelCredentials, TriggerConfig, etc.
- Simplify supportsOAuth to check client_type == openai-codex
- Add conf/providers/codex.yaml preset with Codex catalog models
- Frontend: replace auth_type selector with client_type-driven OAuth UI
---------
Co-authored-by: Acbox <acbox0328@gmail.com>
Move CreateModel, BuildReasoningOptions, ReasoningBudgetTokens and
related types from internal/agent to internal/models as NewSDKChatModel,
SDKModelConfig, etc. This eliminates duplicate ClientType constants and
centralises all Twilight AI SDK instance creation in a single package.
NewSDKEmbeddingModel now accepts a clientType parameter and dispatches
to the native Google embedding provider for google-generative-ai,
instead of always using the OpenAI-compatible endpoint.
* refactor: move client_type to provider, replace model fields with config JSONB
- Move `client_type` from `models` to `llm_providers` table
- Add `icon` field to `llm_providers`
- Replace `dimensions`, `input_modalities`, `supports_reasoning` on `models`
with a single `config` JSONB column containing `dimensions`,
`compatibilities` (vision, tool-call, image-output, reasoning),
and `context_window`
- Auto-imported models default to vision + tool-call + reasoning
- Update all backend consumers (agent, flow resolver, handlers, memory)
- Regenerate sqlc, swagger, and TypeScript SDK
- Update frontend forms, display, and i18n for new schema
* ui: show provider icon avatar in sidebar and detail header, remove icon input
* feat: add built-in provider registry with YAML definitions and enable toggle
- Add `enable` column to llm_providers (default true, backward-compatible)
- Create internal/registry package to load YAML provider/model definitions
on startup and upsert into database (new providers disabled by default)
- Add conf/providers/ with OpenAI, Anthropic, Google YAML definitions
- Add RegistryConfig to TOML config (providers_dir, default conf/providers)
- Model listing APIs and conversation flow now filter by enabled providers
- Frontend: enable switch in provider form, green status dot in sidebar,
enabled providers sorted to top
* fix: make 0041 migration idempotent for fresh databases
Guard data migration steps with column-existence checks so the
migration succeeds on databases created from the updated init schema.
* refactor: use Twilight AI SDK for model and provider connectivity testing
Replace hand-rolled HTTP probing with the Twilight AI SDK's built-in
Provider.Test() and TestModel() methods.
- Model test now runs Provider.Test() (connectivity + auth) followed by
TestModel() (model availability) via the SDK
- Provider test auto-detects client_type from associated models and
creates the correct SDK provider for accurate auth header handling
- Embedding models use a dedicated /embeddings endpoint probe since
the SDK's chat Provider doesn't cover embedding APIs
- Latency measurement now covers the full test lifecycle
- Add TestStatusModelNotSupported for models not found by the provider
- Upgrade twilight-ai to v0.3.3-0.20260321100646-43c789b701dd which
includes fallback probing for providers without GET /models/{id}
* fix: lint
* feat(models): add per-model probe testing and auto-detect in UI
Move health probes from provider level to model level for precise
testing with real model_id and client_type. Provider test is now a
simple reachability check.
Backend:
- Add POST /models/:id/test endpoint that probes the model's provider
using its actual model_id and client_type
- Add model healthcheck checker for bot health checks (chat/memory/embedding)
- Simplify provider test to reachability-only
Frontend:
- Auto-probe models on mount with status indicator (green/yellow/red dot + latency)
- Auto-probe provider reachability on load and on provider switch
- Fix missing faBolt icon registration
- Manual re-probe via refresh button
Closes#117
* fix(models): increase probe timeout to 15s for slow providers
Some providers (e.g. DashScope) exceed the 5s probe timeout, causing
false-negative "context deadline exceeded" errors. Increase per-probe
timeout to 15s and healthcheck overall timeout to 30s.
* fix(sdk): regenerate exports after merge conflict
Resolve duplicate SDK exports introduced by merge conflict resolution so the web build can compile again while preserving new model probe endpoints.
- Rename chat module to conversation with flow-based architecture
- Move channelidentities into channel/identities subpackage
- Add channel/route for routing logic
- Add message service with event hub
- Add MCP providers: container, directory, schedule
- Refactor Feishu/Telegram adapters with directory and stream support
- Add platform management page and channel badges in web UI
- Update database schema for conversations, messages and channel routes
- Add @memoh/shared package for cross-package type definitions
Align channel identity and bind flow across backend and app-facing layers, including generated swagger artifacts and package lock updates while excluding docs content changes.
- Refactor channel manager with support for Sender/Receiver interfaces and hot-swappable adapters.
- Implement identity routing and pre-authentication logic for inbound messages.
- Update database schema to support bot pre-auth keys and extended channel session metadata.
- Add Telegram and Feishu channel configuration and adapter enhancements.
- Update Swagger documentation and internal handlers for channel management.
Co-authored-by: Cursor <cursoragent@cursor.com>
Yiming Qi