- Add glm-5.1 model to GLM Coding provider with fitness scores
- Update glm-5 pricing to match Z.AI API page ($1/$3.2/$0.2)
- Set glm-5.1 pricing to $1.2/$5/$0.3 per Z.AI
- Remove glm-4-32b (deprecated, returns empty from upstream)
- Rename Z.AI provider display name from "Z.AI (GLM-5)" to "Z.AI"
- Update zai pricing section to match glm pricing
- Fix Ollama Cloud base URL from api.ollama.com to ollama.com/v1/chat/completions
- Fix Ollama Cloud models URL to ollama.com/api/tags
- Add gemini-3.1-pro-preview and gemini-3.1-flash-lite-preview to Antigravity provider
Closes#643, closes#645
- Add Claude Sonnet 4.5, Claude Sonnet 4, GPT 5, GPT 5 Mini
- Enable passthroughModels: true so users can access any model
Antigravity supports without waiting for registry updates
- Set clientSecretDefault for Antigravity provider (was empty, causing
'client_secret is missing' on token refresh for npm users)
- Add modelsUrl to opencode-zen registry for 'Import from /models'
- Add contextLength field to RegistryModel interface for per-model overrides
- Add defaultContextLength to RegistryEntry for provider-level defaults
- Set context lengths for major providers:
- Claude: 200k
- Codex: 400k (fixes combo context display)
- Gemini: 1M
- OpenAI: 128k
- GitHub Copilot: 128k
- Kiro/Cursor: 200k
- OpenCode: 200k
- Include context_length in /v1/models API response
- Add context_length field to combo schema for custom combo context
- Update contextManager to use registry defaults and support env overrides
- CONTEXT_LENGTH_<PROVIDER> for per-provider override
- CONTEXT_LENGTH_DEFAULT for global override
This allows clients like OpenClaw to display accurate context windows
for combo models instead of guessing based on model name patterns.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Reword comments that contained the token any; replace any types with typed shapes
- stream.ts: passthrough tool-call flag via local boolean (state is null in passthrough)
- Document T11 in zws_docs/ZWS_README_V8.md
Made-with: Cursor
Registrar o provedor Puter como gateway OpenAI-compatible que expõe
modelos de múltiplos fornecedores (GPT, Claude, Gemini, Grok, DeepSeek,
Qwen, Mistral, Llama) através de um único endpoint REST.
- Criar PuterExecutor com autenticação Bearer token
- Adicionar entrada no providerRegistry com 40+ modelos curados
- Habilitar passthroughModels para acesso aos 500+ modelos do catálogo
- Registrar alias "pu" para acesso rápido
- Adicionar metadados do provedor em shared/constants/providers.ts
fix(login): redirect to /dashboard/onboarding when API returns needsSetup:true (#521)
- Handle the case where user skips password setup and lands on login
- Instead of showing a cryptic error, redirect to onboarding flow
fix(api-manager): replace useless 'copy masked key' button with lock tooltip (#522)
- Copying a masked key (sk-proj123****abcd) is misleading and useless
- Show a lock icon on hover explaining key is only available at creation time
- Add i18n key 'keyOnlyAvailableAtCreation'
fix(opencode-go): use zen/v1 for API key validation, not zen/go/v1 (#532)
- Added testKeyBaseUrl field to RegistryEntry interface
- opencode-go: testKeyBaseUrl → zen/v1 (same key authenticates both tiers)
- validation.ts: resolveBaseUrl for key testing now prefers testKeyBaseUrl
fix(antigravity): return structured 422 error when projectId is missing (#489)
- Instead of throwing (crash), executor returns an OpenAI-format error JSON
- Client receives message with instruction to reconnect OAuth
- Prevents opaque 500 errors in the proxy logs
chore: close#525 (OmniRoute = 9router — same project, different name)
docs: add Docker password reset comment on #513 with INITIAL_PASSWORD workaround
* feat: add api-key Kimi Coding provider support
* fix(kimi-coding): honor apikey auth header in executor
Ensure DefaultExecutor sends x-api-key for kimi-coding-apikey at runtime
and deduplicate shared kimi coding config blocks in registry and models
config to reduce drift between oauth and apikey variants.
---------
Co-authored-by: OmniRoute Agent <agent@omniroute.local>
Audio endpoints (/v1/audio/speech and /v1/audio/transcriptions) only
supported hardcoded providers from audioRegistry.ts. Local inference
backends configured as provider_nodes (e.g., MLX-Audio, oMLX) could
not serve audio through OmniRoute.
This adds a Phase 3 fallback in the audio model parser that consults
provider_nodes from the database. Local providers with api_type=openai
are automatically available for audio routing via their prefix
(e.g., mlx-audio/tts-model, omlx/whisper-large-v3-turbo).
Design: injection pattern — Next.js route handlers load provider_nodes
(async DB query) and pass them to the sync parser as a parameter.
No cross-workspace imports, no breaking changes to existing parsers.
Changes:
- Add buildDynamicAudioProvider() in audioRegistry.ts
- Add Phase 3 (provider_nodes prefix match) to parseAudioModel()
- Extend parseSpeechModel/parseTranscriptionModel with optional
dynamicProviders parameter (backward compatible)
- Load and inject provider_nodes in speech/transcription route handlers
- Dynamic providers use authType=none (local, no credentials needed)
- gemini/gemini-cli: removed gemini-3.1-pro/flash/preview (don't exist in Google API v1beta),
replaced with real models: gemini-2.5-pro, gemini-2.5-flash, gemini-2.0-flash, gemini-1.5-*
- antigravity: removed gemini-3.1-pro-high/low and gemini-3-flash (internal aliases invalid),
replaced with gemini-2.5-pro, gemini-2.5-flash, gemini-2.0-flash
- github: removed gemini-3-flash-preview and gemini-3-pro-preview, replaced with gemini-2.5-flash
- nvidia: corrected 'nvidia/llama-3.3-70b-instruct' to 'meta/llama-3.3-70b-instruct'
(NVIDIA NIM uses meta/ namespace, not nvidia/ namespace for Meta models)
- nvidia: added meta/llama-3.1-70b-instruct and nvidia/llama-3.1-405b-instruct
Also fixed free-stack combo on .15 DB:
- removed qw/qwen3-coder-plus (qwen provider has expired refresh token)
- corrected nvidia/llama-3.3-70b-instruct → nvidia/meta/llama-3.3-70b-instruct
- corrected gemini/gemini-3.1-flash → gemini/gemini-2.5-flash
- added if/deepseek-v3.2 as replacement for qw/qwen3-coder-plus
Embedding endpoint (/v1/embeddings) only supports 6 hardcoded cloud
providers. Local inference backends (oMLX, Ollama) serving embeddings
via provider_nodes are inaccessible through OmniRoute.
This adds dynamic provider_node support for embeddings:
- Add EmbeddingProvider interface and buildDynamicEmbeddingProvider()
- Add Phase 2 (provider_nodes prefix match) in parseEmbeddingModel()
- Handler accepts resolvedProvider/resolvedModel from route (injection pattern)
- Handler supports authType=none for local providers (was missing — critical gap)
- Route loads local provider_nodes (localhost only — prevents auth bypass/SSRF)
- Route filters by apiType=chat|responses and localhost hostname
- buildDynamicEmbeddingProvider validates inputs (prefix + baseUrl required)
- Per-node try/catch in map — one bad row doesn't block all providers
- DB errors logged and fall back to hardcoded providers
Reasoning models (o1, o1-pro, o3, o3-mini) reject standard parameters
like temperature and top_p with 400 Bad Request. OmniRoute's default
executor forwards all parameters without filtering.
This fix adds declarative parameter filtering:
- Add unsupportedParams[] field to RegistryModel interface
- Add REASONING_UNSUPPORTED frozen constant shared across entries
- Add o1-pro, o3, o3-mini to OpenAI registry (were missing)
- Add getUnsupportedParams() helper with:
- O(1) precomputed map lookup (not O(N×M) scan)
- Cross-provider routing support via precomputed map
- Prefixed model ID support (e.g., "openai/o3" → "o3")
- Strip unsupported params in chatCore.ts before executor call
- Use Object.hasOwn() for safe property check (no prototype chain)
- Log stripped params at WARN level for visibility
- Remove apiKey===null heuristic (too broad — could match cloud providers
with non-standard auth). Use URL-based detection only.
- Guard local 404 branch with provider && model check — if either is null,
fall through to standard connection lockout (safer behavior).
- Document LOCAL_HOSTNAMES as module-load-time constant (restart required).
- Document PROVIDER_PROFILES.local as intentionally not yet wired.
When a local inference backend (oMLX, Ollama, LM Studio) returns 404
for an unknown model, OmniRoute previously locked the entire connection
for 2 minutes — blocking all valid models on that connection.
This fix introduces local provider detection and changes the 404
behavior for local providers:
- Model-only lockout (5s) instead of connection-level lockout (2min)
- Connection stays active — other models continue working immediately
- Detection via URL heuristic (localhost/127.0.0.1) + apiKey===null fallback
- Configurable via LOCAL_HOSTNAMES env var for Docker setups
Also fixes a pre-existing bug where the model parameter was not passed
to markAccountUnavailable() from chat.ts, preventing per-model lockouts
from working at all.
Changes:
- Add isLocalProvider(baseUrl) helper in providerRegistry.ts
- Add COOLDOWN_MS.notFoundLocal (5s) and PROVIDER_PROFILES.local
- Add local 404 branch in markAccountUnavailable() in auth.ts
- Pass model param to markAccountUnavailable() in chat.ts (bug fix)
Kilo Gateway (api.kilo.ai/api/gateway) is an OpenAI-compatible API
offering 335+ models via a single API key, including 6 free models
and 3 auto-routing models (frontier/balanced/free).
This is distinct from the existing KiloCode provider which uses
OAuth + /api/openrouter/ endpoint.
- Register kilo-gateway in providerRegistry.ts (alias: kg)
- Add to APIKEY_PROVIDERS in providers.ts
- Add models endpoint config in route.ts
- Add official Kilo AI icon (favicon)
Add Synthetic (synthetic.new) as a privacy-focused LLM provider
with OpenAI-compatible API, dynamic model catalog via /models
endpoint, and passthrough model support.
- Register provider in providerRegistry.ts with 6 initial models
- Add APIKEY_PROVIDERS entry with verified_user icon (#6366F1)
- Add models listing config for /api/providers/[id]/models endpoint
- passthroughModels enabled for dynamic model catalog
Add gpt-5.4 to the Codex model registry so OmniRoute exposes cx/gpt-5.4 and codex/gpt-5.4 in its model catalog.
Includes a focused regression test for model resolution.
- fix#355: increase STREAM_IDLE_TIMEOUT_MS from 60s to 300s to prevent
premature stream abortion for extended-thinking models (claude-opus-4-6,
o3, etc.) that can pause >60s during reasoning phases. Configurable via
STREAM_IDLE_TIMEOUT_MS env var.
- fix#350: combo health check test now bypasses REQUIRE_API_KEY=true by
sending X-Internal-Test header, recognized in chat.ts auth pipeline to
skip API key validation for internal admin-side combo tests. Also
extended test timeout from 15s to 20s. Uses OpenAI-compatible format
universally (not Claude-style).
- fix#346: filter out tools with empty function.name before forwarding
to upstream providers. Claude Code sends empty-name tool definitions
that cause '400 Invalid input[N].name: empty string' on OpenAI-compat
providers. Extends existing message/input empty-name filter.
* fix: tool description null sanitization, clipboard HTTP fallback fixes
T10 - Sanitize tool.description null in claude-to-openai translator
- claude-to-openai.ts: tool.description defaults to empty string when null/undefined
- claude-to-openai.ts: filter out tools with empty/missing names
- Prevents 400 validation errors on providers like NVIDIA NIM (issue #276)
T11 - Fix copy buttons to work on HTTP/non-HTTPS deployments
- Add src/shared/utils/clipboard.ts with HTTPS+HTTP (execCommand) dual fallback
- Migrate useCopyToClipboard.ts to use shared utility
- Migrate ConsoleLogViewer.tsx, RequestLoggerV2.tsx to shared utility
- Migrate HomePageClient.tsx, endpoint/page.tsx, GetStarted.tsx
- Migrate DefaultToolCard.tsx to shared utility
- Fixes copy buttons when OmniRoute runs behind HTTP proxy (issue #296)
T02 - Verified SSE [DONE] sentinel handling already correct
- sseParser.ts filters [DONE] on line 13 (no change needed)
- stream.ts uses doneSent flag to prevent duplicate sentinel
- bypassHandler.ts correctly separates streaming/non-streaming responses
Issue triage comments posted to #340, #341, #344
* feat: DB read cache + Accept header stream negotiation (T09/T01)
T09 - In-memory TTL cache for hot DB read paths
- Add src/lib/db/readCache.ts with TTL cache (5s settings/connections, 30s pricing)
- Eliminates redundant SQLite reads on concurrent requests
- Integrate invalidation in settings.ts updateSettings() and updatePricing()
- Integrate invalidation in providers.ts create/update/delete operations
- Export getCachedSettings, getCachedPricing, getCachedProviderConnections,
invalidateDbCache via localDb.ts for consumer migration
- Cache auto-busts on any write, preserving data consistency
T01 - Accept header stream negotiation
- src/sse/handlers/chat.ts: detect Accept: text/event-stream header
- Override body.stream=true when Accept header indicates streaming client
- Enables curl, httpx and SDK clients that use HTTP headers instead of JSON
body field to trigger streaming responses
- Logs Accept override at DEBUG level for observability
* fix: auto-advance quota window on expiry to prevent stale blocking (T08)
T08 - Quota Window Rolling Auto-Advance
- quotaCache.ts: add windowDurationMs field to QuotaCacheEntry interface
(optional field that callers can set when they know the window duration)
- Add advancedWindowResetAt() helper: if entry.nextResetAt is in the past,
eagerly returns { exhausted: false } so requests are unblocked immediately
- isAccountQuotaExhausted() now uses advancedWindowResetAt() instead of
the previous inline date check, and optimistically clears entry.exhausted
flag to avoid re-checking the same stale entry on the next request
Before: exhausted accounts with an expired resetAt would wait up to 5
minutes for the background refresh before accepting new requests.
After: the first request after resetAt passes will be immediately accepted
and will trigger a quota refresh on the next background tick.
* feat: manual OAuth token refresh UI (T12)
T12 - Manual Token Refresh UI
- Add POST /api/providers/[id]/refresh endpoint
- Validates connection exists and is OAuth type
- Calls getAccessToken() (same helper used in auto-refresh)
- Persists new credentials via updateProviderCredentials()
- Returns { success, expiresAt, refreshedAt } on success
- Update providers/[id]/page.tsx
- handleRefreshToken() with loading state (refreshingId)
- Pass onRefreshToken + isRefreshing props to ConnectionRow
- ConnectionRow: add optional onRefreshToken/isRefreshing props
- ConnectionRow: tokenMinsLeft state via lazy init (Date.now() in
getter fn, not in render body - satisfies react-hooks/purity)
- Token expiry badge: red 'expired' | amber '~Xm' (<30min) | hidden
- 'Token' button (amber) next to 'Retest' for OAuth connections
- Add en.json i18n: tokenRefreshed, tokenRefreshFailed
* Initial plan
* feat: integrate wildcardRouter into model alias resolution (T13)
T13 - Wildcard Model Routing
- Import resolveWildcardAlias from wildcardRouter.ts into model.ts
- In getModelInfoCore(), after exact alias check fails, try glob wildcard
alias matching (e.g., 'claude-sonnet-*' alias → 'anthropic/claude-sonnet-4')
- Returns { provider, model, extendedContext, wildcardPattern } on match
- Falls back to MODEL_TO_PROVIDERS lookup and openai default as before
* fix: clipboard cleanup and tool validation
* feat: media page UX + T04 playground uploads + T03 HuggingFace/Vertex AI
Media Page (MediaPageClient.tsx):
- Render images inline (img tags from b64_json or url)
- Show transcription as plain readable text (not raw JSON)
- Amber banner for credential errors with link to /dashboard/providers
- Detect empty transcription result and show credentials hint
- Provider credential hint below selector for non-local providers
- Extended provider/model lists: HuggingFace, Qwen TTS, Inworld, Cartesia, PlayHT, AssemblyAI
T04 - Playground File Uploads (playground/page.tsx):
- Audio file upload panel for transcription endpoint (multipart/form-data)
- Image upload panel for vision models (gpt-4o, claude-3, gemini, pixtral, llava...)
- Auto-detect vision models by name heuristic
- Inject uploaded images as base64 image_url in chat messages
- Inline image rendering for image generation results
- Readable text view for transcription results with copy button
- Preview thumbnails for attached images with individual remove
T03 - HuggingFace + Vertex AI Providers:
- HuggingFace: frontend providers.ts + backend providerRegistry.ts
Uses HuggingFace Router OpenAI-compatible endpoint
- Vertex AI: frontend providers.ts + backend providerRegistry.ts
Uses gemini format with generateContent API (urlBuilder fallback)
T07 - API Key Round-Robin: VERIFIED already implemented in auth.ts
fill-first, round-robin, p2c, random, least-used, cost-optimized strategies
* feat: T05 task-aware routing + fix#302 stream override + fix#73 claude provider fallback
T05 - Task-Aware Smart Routing:
- New open-sse/services/taskAwareRouter.ts:
Detects 7 task types: coding, creative, analysis, vision, summarization,
background, chat from system/user message content and images
Configurable taskModelMap per task type, stats tracking
applyTaskAwareRouting() integrates with existing chat pipeline
- New src/app/api/settings/task-routing/route.ts:
GET/PUT/POST API for task routing config + reset-stats + detect action
Persists config via updateSettings('taskRouting')
- Integration in src/sse/handlers/chat.ts:
applyTaskAwareRouting() called after policy enforcement, before combo resolve
Logs task type detection and model overrides
Fix#302 - OpenAI SDK stream=False drops tool_calls:
- src/sse/handlers/chat.ts T01 Accept header negotiation:
Changed condition from 'body.stream !== true' to 'body.stream === undefined'
OpenAI Python SDK sends 'Accept: application/json, text/event-stream' in every
request, even stream=False — the old code was incorrectly forcing stream=true,
causing tool_calls to be dropped from non-streaming responses
Fix#73 - Claude Haiku routed to OpenAI provider instead of Antigravity:
- open-sse/services/model.ts getModelInfoCore():
Added heuristic prefix detection before the blind 'openai' fallback:
claude-* models → antigravity (Anthropic) provider
gemini-*/gemma-* models → gemini provider
Closes: #73, partially addresses #302
* fix: token counts 0 (#74), model import dup (#180), model route fallback (#73)
fix#74 - Token counts always 0 for Antigravity/Claude streaming:
- open-sse/utils/usageTracking.ts extractUsage():
Add handler for 'message_start' SSE event which carries INPUT tokens in
Antigravity/Claude streaming:
{ type: 'message_start', message: { usage: { input_tokens: N } } }
This event was completely unhandled, causing ALL input token counts to be
dropped for every Antigravity/Claude streaming request
fix#180 - Model import shows duplicates with no visual feedback:
- src/shared/components/ModelSelectModal.tsx:
Added addedModelValues prop (string[]) to receive already-added model values
Models already in the combo now shown with ✓ indicator + green highlight
Makes it visually clear which models are already added vs new
- src/app/(dashboard)/dashboard/combos/page.tsx:
Pass addedModelValues={models.map(m => m.model)} to ModelSelectModal
* Harden clipboard UX and Claude tool normalization (#360)
* Initial plan
* chore: plan updates for clipboard and translator fixes
* fix: clipboard cleanup, copy feedback, and claude tool validation
---------
Co-authored-by: openai-code-agent[bot] <242516109+Codex@users.noreply.github.com>
Co-authored-by: diegosouzapw <diegosouzapw@users.noreply.github.com>
---------
Co-authored-by: diegosouzapw <diegosouzapw@users.noreply.github.com>
Co-authored-by: openai-code-agent[bot] <242516109+Codex@users.noreply.github.com>
