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* fix(http): stop listing the models directory on embeddings and bearer requests Every embeddings request read the whole models directory before the body was parsed, even when the body named its model. On a network-backed models directory this cost seconds per request. Embeddings now binds the body first and looks up a default model only when the body has none, like chat. The pre-bind default lookup and the gpt-4o constant default are gone from that route. The first-available default lookup skips the directory when the filter cannot accept an unconfigured file. Every usecase filter rejects files without a config, so the scan never added results for them. Match-all, nil and name filters keep the scan. The bearer token check is now an exact test: a configured name, or one stat of that name in the models directory. The value is a literal, not a regular expression, and a name that is not a local relative path never matches a file. Assisted-by: Claude Code:claude-haiku-5-5 * perf(config): cache GGUF header reads for model defaults Model defaults re-parsed the GGUF header on every SetDefaults call, which runs per request and at startup reload. Put a bounded LRU in front of the parser, keyed by absolute path and validated by size and modification time. The cached value is a snapshot of the fields the defaults use, not the parser output. A changed size or mtime is a miss. Missing files and parse errors are not cached, so the existing fallback is unchanged. LOCALAI_DISABLE_GUESSING, the empty-path guard, the alias early return, the panic recovery and the context-size default are all kept in front of the cache. Assisted-by: Claude:claude-haiku-5-5 * test(http): cover listing-free default lookup on every usecase route Assisted-by: Claude Code:claude-haiku-5-5 * feat(config): persist the GGUF header cache per instance The header cache kept parsed GGUF results only in memory, so every restart parsed each model file again before its defaults were known. Write the cache to a per-instance file in the data path and load it at startup. A restarted frontend with a fixed instance ID starts warm. The file is versioned and records the estimator inputs (gguf-parser version, candidate contexts, auto context size, offload count). A mismatch on any of them makes the file ignored. Each entry keeps path, size and mtime, so a changed model file is a miss on load. Writes run on one background saver, debounced, through a temp file and rename. The entry bound applies to the file as well. Without a data path the cache stays in memory only. Documented as a per-instance exception in the model configuration docs. Assisted-by: Claude:claude-haiku-5-5 * docs(embeddings): document model selection and the no-model error Assisted-by: Claude Code:claude-haiku-5-5 * refactor(config): split the header cache into a generic cache The GGUF header cache mixed two things: the mechanics (bounded LRU keyed by path and identity, per-instance file, debounced atomic save, tolerant load) and the GGUF fields. Move the mechanics into headerCache[S], driven by a headerCacheSpec[S] that names the file prefix, schema, fingerprint, parser and the snapshot encode/decode pair. The GGUF cache becomes one instance of it. File names, the identity check, LRU size, debounce, atomic write and the corruption handling are unchanged. The on-disk JSON keeps the "estimator" key so existing files still load. Assisted-by: Claude Code:claude-haiku-5-5 * feat(config): share one GGUF header cache file between frontends Every frontend used to write its own header cache file, named after its instance ID, so a header read by one frontend was never reused by another. The cache now uses one file, header-cache.json, in the data path, for all frontends and for standalone mode. The instance ID no longer changes the file name. Frontends share the file in three ways. A save first merges the file's entries in, so one frontend's write does not drop another's entries. A miss reloads the file when its modification time has changed, and a hit never reads it. Writes go to a temp file that is renamed into place, so a reader never sees a partial file. Two frontends saving at the same moment can still drop each other's last entries. That costs one re-parse, never a wrong value, because every entry is checked against its model file before use. The shared file is valid only when every frontend mounts the same data volume. The distributed-mode and model-configuration docs state this mode and its volume limit. Assisted-by: Claude:claude-haiku-5-5 * feat(config): give an instance ID its own header cache file Assisted-by: Claude Code:claude-haiku-5-5 * style(config): gofmt the distributed config struct Assisted-by: Claude Code:claude-haiku-5-5 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
424 lines
19 KiB
Markdown
424 lines
19 KiB
Markdown
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+++
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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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### 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:
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response = client.chat.completions.create(
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model="my-model",
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messages=[{"role": "user", "content": "hello"}],
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)
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except APIError as e:
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print(f"Status: {e.status_code}, Message: {e.message}")
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```
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### curl
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```bash
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# Check HTTP status code
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response=$(curl -s -w "\n%{http_code}" http://localhost:8080/v1/chat/completions \
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-H "Content-Type: application/json" \
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-d '{"model": "nonexistent", "messages": [{"role": "user", "content": "hi"}]}')
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http_code=$(echo "$response" | tail -1)
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body=$(echo "$response" | head -1)
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if [ "$http_code" -ne 200 ]; then
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echo "Error $http_code: $body"
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fi
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```
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## Related Configuration
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| Environment Variable | Description |
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|-------------------------------|------------------------------------------------|
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| `LOCALAI_API_KEY` | Comma-separated list of valid API keys |
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| `LOCALAI_OPAQUE_ERRORS` | Set to `true` to hide error details (returns empty body with status code only) |
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| `LOCALAI_SUBTLE_KEY_COMPARISON`| Use constant-time key comparison for timing-attack resistance |
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