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* feat(llama-cpp): add slot prompt-cache save and restore API Add POST /v1/slots/save and POST /v1/slots/restore. They write one llama.cpp slot's prompt cache (KV state) to a file and load it back, so a client can warm a long system prompt in a few hundred milliseconds instead of re-running prefill. Refs #12685. The new SlotCache gRPC call posts the same slot save and restore tasks the llama-server /slots endpoint uses. It is off unless the model sets the new slot_save_path option, so existing models are not affected. The /slots monitoring endpoint is not needed here: the backend has no HTTP server. The file name comes from the caller, so it is checked twice, in Go and again in the backend. It must be one path component: no empty name, "/", "\", "..", NUL, control characters or absolute path. The resolved path, with symbolic links followed, must be a direct child of slot_save_path. The routes are admin only because they write files on the backend host. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): answer 501 when a backend lacks slot cache A backend that does not implement the SlotCache rpc returns gRPC UNIMPLEMENTED. The API passed that text through, so the client saw "unknown method SlotCache". Map the status to a typed error in core/backend and return 501 with a fixed message instead. Every other error path is unchanged. Make the SlotCache comments in backend.proto backend-neutral: slot is the backend's state slot, filename must stay inside the save directory, and an empty model_identity means the backend does not check it. Only comments change, no field or name. Add tests that the identity sent is the configured model, and for the error mapping. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): issue slot cache IDs on the server The slot save and restore API let the client pick the file name. Restore could load any file in slot_save_path, and the symlink check ran before llama.cpp opened the file. The backend now issues the name. A save returns a random 128-bit ID (32 lowercase hex characters, read from /dev/urandom) and never overwrites an existing file. Files live in a 0700 directory per model, named from the SHA-256 of the model identity, with a manifest.json that records each save. The manifest is written atomically and a corrupt one stops both save and restore. A restore takes the ID, finds it in the manifest, refuses an entry of another model, builds the path from the entry and checks with lstat that it is a plain file of the recorded size. The directory mode is the main defence against another local user, since llama.cpp still opens the path itself. Each model keeps at most 32 saves and the oldest is deleted first. A file over 8 GiB is deleted after the save, because llama.cpp does not report the size before it writes. Responses carry no host path. The HTTP bodies change: save takes {model, slot}, restore takes {model, slot, id}, and an unknown ID returns 404. In the proto, SlotCacheRequest.filename and SlotCacheResponse.filename become id. SlotCache no longer calls checkModelIdentity, which reads a field this request does not have. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(llama-cpp): copy slot_cache files in prepare.sh grpc-server.cpp includes slot_cache.h, but prepare.sh copies the helper headers into llama.cpp/tools/grpc-server/ one by one and skipped it. The llama-cpp, turboquant and bonsai builds share this step, so they all failed with "slot_cache.h: No such file or directory". Copy slot_cache.h and slot_cache_test.cpp, which CMakeLists.txt builds when LLAMA_GRPC_BUILD_TESTS is on. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(deps): bump LocalAGI to pick up the scheduler start/stop fix LocalAGI's scheduler could hit a nil pointer in run when Start and Stop raced. That made the core/services/agentpool tests panic at random and turned tests-linux red. Move to mudler/LocalAGI@7aa0c8fea0, the merge of mudler/LocalAGI#519 ("make Start and Stop safe to call concurrently"). The new module version also adds a few indirect requirements to go.mod and go.sum. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
436 lines
20 KiB
Markdown
436 lines
20 KiB
Markdown
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disableToc = false
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title = "API Error Reference"
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weight = 26
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+++
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This page documents the error responses returned by the LocalAI API. LocalAI supports multiple API formats (OpenAI, Anthropic, Open Responses), each with its own error structure.
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{{% notice note %}}
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For backend and runtime failure messages (a model that will not load, `could not load model`, `grpc service not ready`, `SIGILL`, VRAM out of memory, the model-load cooldown `503`), rather than API-envelope errors, see {{% relref "reference/runtime-errors" %}}.
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{{% /notice %}}
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## Error Response Formats
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### OpenAI-Compatible Format
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Most endpoints return errors using the OpenAI-compatible format:
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```json
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{
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"error": {
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"code": 400,
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"message": "A human-readable description of the error",
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"type": "invalid_request_error",
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"param": null
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}
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}
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```
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| Field | Type | Description |
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|-----------|-------------------|--------------------------------------------------|
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| `code` | `integer\|string` | HTTP status code or error code string |
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| `message` | `string` | Human-readable error description |
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| `type` | `string` | Error category (e.g., `invalid_request_error`) |
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| `param` | `string\|null` | The parameter that caused the error, if applicable|
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This format is used by: `/v1/chat/completions`, `/v1/completions`, `/v1/embeddings`, `/v1/images/generations`, `/v1/audio/transcriptions`, `/models`, and other OpenAI-compatible endpoints.
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### Anthropic Format
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The `/v1/messages` endpoint returns errors in Anthropic's format:
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```json
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{
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"type": "error",
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"error": {
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"type": "invalid_request_error",
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"message": "A human-readable description of the error"
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}
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}
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```
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| Field | Type | Description |
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|---------------|----------|------------------------------------------------|
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| `type` | `string` | Always `"error"` for error responses |
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| `error.type` | `string` | `invalid_request_error` or `api_error` |
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| `error.message` | `string` | Human-readable error description |
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### Open Responses Format
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The `/v1/responses` endpoint returns errors with this structure:
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```json
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{
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"error": {
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"type": "invalid_request",
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"message": "A human-readable description of the error",
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"code": "",
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"param": "parameter_name"
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}
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}
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```
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| Field | Type | Description |
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|-----------|----------|------------------------------------------------------|
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| `type` | `string` | One of: `invalid_request`, `not_found`, `server_error`, `model_error`, `invalid_request_error` |
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| `message` | `string` | Human-readable error description |
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| `code` | `string` | Optional error code |
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| `param` | `string` | The parameter that caused the error, if applicable |
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## HTTP Status Codes
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| Code | Meaning | When It Occurs |
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|------|--------------------------|--------------------------------------------------------|
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| 400 | Bad Request | Invalid input, missing required fields, malformed JSON |
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| 401 | Unauthorized | Missing or invalid API key |
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| 404 | Not Found | Model or resource does not exist |
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| 409 | Conflict | Resource already exists (e.g., duplicate token) |
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| 422 | Unprocessable Entity | Validation failed (e.g., invalid parameter range) |
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| 429 | Too Many Requests | All backends are saturated (per-model `max_concurrent` or process-wide `--max-concurrent-backend-requests` ceiling reached). Includes a `Retry-After` header and `type: "rate_limit_error"` so OpenAI-compatible clients and harnesses back off automatically |
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| 500 | Internal Server Error | Backend inference failure, unexpected server errors |
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| 503 | Service Unavailable | No healthy node available to serve the model (cluster is full, eviction cannot free a slot, or a `node_selector` excludes all candidates). Also used during model-load cooldown and while a model is still cold-loading. Retryable |
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## Global Error Handling
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### Authentication Errors (401)
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When authentication is enabled - either via API keys (`LOCALAI_API_KEY`) or the user auth system (`LOCALAI_AUTH=true`) - API requests must include valid credentials. Credentials can be provided through:
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- `Authorization: Bearer <key>` header (API key, user API key, or session ID)
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- `x-api-key: <key>` header
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- `xi-api-key: <key>` header
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- `session` cookie (user auth sessions)
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- `token` cookie (legacy API keys)
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### Authorization Errors (403)
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When user authentication is enabled, admin-only endpoints (model management, system settings, traces, agents, etc.) return 403 if accessed by a non-admin user. See [Authentication & Authorization]({{%relref "features/authentication" %}}) for the full list of admin-only endpoints.
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**Example request without a key:**
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```bash
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curl http://localhost:8080/v1/models \
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-H "Content-Type: application/json"
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```
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**Error response:**
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```json
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{
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"error": {
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"code": 401,
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"message": "An authentication key is required",
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"type": "invalid_request_error"
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}
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}
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```
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The response also includes the header `WWW-Authenticate: Bearer`.
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### Request Parsing Errors (400)
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All endpoints return a 400 error if the request body cannot be parsed:
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```json
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{
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"error": {
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"code": 400,
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"message": "failed parsing request body: <details>",
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"type": ""
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}
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}
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```
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### Not Found (404)
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Requests to undefined routes return:
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```json
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{
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"error": {
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"code": 404,
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"message": "Resource not found"
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}
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}
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```
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### Opaque Errors Mode
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When `LOCALAI_OPAQUE_ERRORS=true` is set, all error responses return an empty body with only the HTTP status code. This is a security hardening option that prevents information leaks.
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## Per-Endpoint Error Scenarios
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### Chat Completions - `POST /v1/chat/completions`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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```bash
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# Missing model field
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curl http://localhost:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{"messages": [{"role": "user", "content": "hello"}]}'
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```
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See also: [Text Generation]({{%relref "features/text-generation" %}})
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### Completions - `POST /v1/completions`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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### Embeddings - `POST /v1/embeddings`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 400 | No `model` in the body and no embeddings model configured | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Embeddings]({{%relref "features/embeddings" %}})
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### Image Generation - `POST /v1/images/generations`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Image Generation]({{%relref "features/image-generation" %}})
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### Image Editing (Inpainting) - `POST /v1/images/edits`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Missing `image` file | `missing image file` |
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| 400 | Missing `mask` file | `missing mask file` |
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| 500 | Storage preparation failure | `failed to prepare storage` |
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### Audio Transcription - `POST /v1/audio/transcriptions`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Missing `file` field in form data | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Audio to Text]({{%relref "features/audio-to-text" %}})
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### Text to Speech - `POST /v1/audio/speech`, `POST /tts`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Text to Audio]({{%relref "features/text-to-audio" %}})
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### ElevenLabs TTS - `POST /v1/text-to-speech/:voice-id`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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### ElevenLabs Sound Generation - `POST /v1/sound-generation`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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### Reranking - `POST /v1/rerank`, `POST /jina/v1/rerank`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 422 | `top_n` less than 1 | `top_n - should be greater than or equal to 1` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Reranker]({{%relref "features/reranker" %}})
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### Anthropic Messages - `POST /v1/messages`
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| Status | Cause | Error Type | Example Message |
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|--------|----------------------------------|-------------------------|-------------------------------------------------|
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| 400 | Missing `model` field | `invalid_request_error` | `model is required` |
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| 400 | Model not in configuration | `invalid_request_error` | `model configuration not found` |
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| 400 | Missing or invalid `max_tokens` | `invalid_request_error` | `max_tokens is required and must be greater than 0` |
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| 500 | Backend inference failure | `api_error` | `model inference failed: <details>` |
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| 500 | Prediction failure | `api_error` | `prediction failed: <details>` |
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```bash
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# Missing model field
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curl http://localhost:8080/v1/messages \
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-H "Content-Type: application/json" \
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-d '{"messages": [{"role": "user", "content": "hello"}], "max_tokens": 100}'
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```
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```json
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{
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"type": "error",
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"error": {
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"type": "invalid_request_error",
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"message": "model is required"
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}
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}
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```
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### Open Responses - `POST /v1/responses`
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| Status | Cause | Error Type | Example Message |
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|--------|-------------------------------------|-------------------------|--------------------------------------------------------|
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| 400 | Missing `model` field | `invalid_request` | `model is required` |
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| 400 | Model not in configuration | `invalid_request` | `model configuration not found` |
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| 400 | Failed to parse input | `invalid_request` | `failed to parse input: <details>` |
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| 400 | `background=true` without `store=true` | `invalid_request_error` | `background=true requires store=true` |
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| 404 | Previous response not found | `not_found` | `previous response not found: <id>` |
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| 500 | Backend inference failure | `model_error` | `model inference failed: <details>` |
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| 500 | Prediction failure | `model_error` | `prediction failed: <details>` |
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| 500 | Tool execution failure | `model_error` | `failed to execute tools: <details>` |
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| 500 | MCP configuration error | `server_error` | `failed to get MCP config: <details>` |
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| 500 | No MCP servers available | `server_error` | `no working MCP servers found` |
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```bash
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# Missing model field
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curl http://localhost:8080/v1/responses \
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-H "Content-Type: application/json" \
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-d '{"input": "hello"}'
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```
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```json
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{
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"error": {
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"type": "invalid_request",
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"message": "model is required",
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"code": "",
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"param": ""
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}
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}
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```
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### Open Responses - `GET /v1/responses/:id`
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| Status | Cause | Error Type | Example Message |
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|--------|---------------------------|-------------------------|----------------------------------|
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| 400 | Missing response ID | `invalid_request_error` | `response ID is required` |
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| 404 | Response not found | `not_found` | `response not found: <id>` |
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### Open Responses Events - `GET /v1/responses/:id/events`
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| Status | Cause | Error Type | Example Message |
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|--------|--------------------------------------|-------------------------|---------------------------------------------------------|
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| 400 | Missing response ID | `invalid_request_error` | `response ID is required` |
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| 400 | Response was not created with stream | `invalid_request_error` | `cannot stream a response that was not created with stream=true` |
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| 400 | Invalid `starting_after` value | `invalid_request_error` | `starting_after must be an integer` |
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| 404 | Response not found | `not_found` | `response not found: <id>` |
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| 500 | Failed to retrieve events | `server_error` | `failed to get events: <details>` |
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### Object Detection - `POST /v1/detection`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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See also: [Object Detection]({{%relref "features/object-detection" %}})
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### Video Generation - `POST /v1/video/generations`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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### Voice Activity Detection - `POST /v1/audio/vad`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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| 500 | Backend inference failure | `Internal Server Error` |
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### Tokenize - `POST /v1/tokenize`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid or malformed request body | `Bad Request` |
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| 400 | Model not found in configuration | `Bad Request` |
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### Slot cache - `POST /v1/slots/save`, `POST /v1/slots/restore`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 400 | Invalid `id` on restore, an `id` sent on save, negative slot, or model not found | `invalid id: expected 32 lowercase hex characters` |
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| 404 | The `id` is unknown, or was issued for another model | `no saved state with this id for this model` |
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| 400 | `slot_save_path` is not set for the model | `slot save and restore is disabled for this model: set the slot_save_path option` |
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| 403 | Caller is not an admin (authentication on) | `Forbidden` |
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| 412 | Backend has save and restore turned off, or the saved file no longer matches its record | `slot save/restore is disabled` |
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| 507 | The saved state is larger than the 8 GiB limit and was deleted | `the saved state is larger than the 8589934592 byte limit and was deleted` |
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| 501 | Backend does not support the call | `slot save and restore is not supported by this model's backend` |
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### Models - `GET /v1/models`, `GET /models`
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| Status | Cause | Example Message |
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|--------|--------------------------------|---------------------------------------|
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| 500 | Failed to list models | `Internal Server Error` |
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See also: [Model Gallery]({{%relref "features/model-gallery" %}})
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## Handling Errors in Client Code
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### Python (OpenAI SDK)
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```python
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from openai import OpenAI, APIError
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client = OpenAI(base_url="http://localhost:8080/v1", api_key="your-key")
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try:
|
|
response = client.chat.completions.create(
|
|
model="my-model",
|
|
messages=[{"role": "user", "content": "hello"}],
|
|
)
|
|
except APIError as e:
|
|
print(f"Status: {e.status_code}, Message: {e.message}")
|
|
```
|
|
|
|
### curl
|
|
|
|
```bash
|
|
# Check HTTP status code
|
|
response=$(curl -s -w "\n%{http_code}" http://localhost:8080/v1/chat/completions \
|
|
-H "Content-Type: application/json" \
|
|
-d '{"model": "nonexistent", "messages": [{"role": "user", "content": "hi"}]}')
|
|
|
|
http_code=$(echo "$response" | tail -1)
|
|
body=$(echo "$response" | head -1)
|
|
|
|
if [ "$http_code" -ne 200 ]; then
|
|
echo "Error $http_code: $body"
|
|
fi
|
|
```
|
|
|
|
## Related Configuration
|
|
|
|
| Environment Variable | Description |
|
|
|-------------------------------|------------------------------------------------|
|
|
| `LOCALAI_API_KEY` | Comma-separated list of valid API keys |
|
|
| `LOCALAI_OPAQUE_ERRORS` | Set to `true` to hide error details (returns empty body with status code only) |
|
|
| `LOCALAI_SUBTLE_KEY_COMPARISON`| Use constant-time key comparison for timing-attack resistance |
|