> For the complete documentation index, see [llms.txt](https://docs.mozilla.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mozilla.ai/api-reference/any-llm.md).

# AnyLLM

The AnyLLM class - provider interface with metadata access and reusability

The `AnyLLM` class is the provider interface at the core of any-llm. Use it when you need to make multiple requests against the same provider without re-instantiating on every call.

### Creating an Instance

#### `AnyLLM.create()`

Factory method that returns a configured `AnyLLM` instance for the given provider.

```
def create(
    provider: str | LLMProvider,
    api_key: str | None = None,
    api_base: str | None = None,
    *,
    unified_exceptions: bool | None = None,
    max_retries: int | None = None,
    **kwargs: Any,
) -> AnyLLM
```

| Parameter            | Type                 | Default    | Description                                                                                                                                                                                                             |
| -------------------- | -------------------- | ---------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `provider`           | `str \| LLMProvider` | *required* | The provider name (e.g., 'openai', 'anthropic')                                                                                                                                                                         |
| `api_key`            | `str \| None`        | None       | API key for the provider                                                                                                                                                                                                |
| `api_base`           | `str \| None`        | None       | Base URL for the provider API                                                                                                                                                                                           |
| `unified_exceptions` | `bool \| None`       | None       | Convert provider exceptions for this instance when True, or preserve them when False. None (default) uses ANY\_LLM\_UNIFIED\_EXCEPTIONS.                                                                                |
| `max_retries`        | `int \| None`        | None       | How many times the provider's SDK client retries a failed request (0 disables retries). None (default) keeps the SDK's own default. Raises UnsupportedParameterError for providers whose SDK has no retry count to set. |
| `**kwargs`           | `Any`                | *required* | Additional provider-specific arguments                                                                                                                                                                                  |

**Returns:** An `AnyLLM` instance bound to the specified provider.

```python
from any_llm import AnyLLM

llm = AnyLLM.create("openai", api_key="sk-...")

response = llm.completion(
    model="gpt-4.1-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
```

### Static Methods

#### `AnyLLM.split_model_provider()`

Parses a combined `"provider:model"` string into its components.

```
def split_model_provider(
    model: str,
) -> tuple[str | LLMProvider, str]
```

| Parameter | Type  | Description                                                                                                                                             |
| --------- | ----- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model`   | `str` | Combined identifier in `"provider:model"` format (e.g., `"openai:gpt-4.1-mini"`). The legacy `"provider/model"` format is also accepted but deprecated. |

**Returns:** A `(provider, model_name)` tuple. `provider` is an `LLMProvider` member when the provider has one, and the bare name for a config-only registry gateway.

**Raises:** `ValueError` if the string does not contain a `:` or `/` delimiter, or `UnsupportedProviderError` if the provider is not resolvable.

```python
provider, model_name = AnyLLM.split_model_provider("anthropic:claude-sonnet-4-20250514")
# provider = LLMProvider.ANTHROPIC
# model_name = "claude-sonnet-4-20250514"
```

#### `AnyLLM.get_all_provider_metadata()`

Returns metadata for every supported provider, sorted alphabetically by name.

```
def get_all_provider_metadata() -> list[ProviderMetadata]
```

**Returns:** A list of [`ProviderMetadata`](/api-reference/completion-1/provider.md) objects.

```python
for meta in AnyLLM.get_all_provider_metadata():
    print(f"{meta.name}: streaming={meta.streaming}, embedding={meta.embedding}")
```

#### `AnyLLM.get_supported_providers()`

Returns a list of all supported provider key strings.

```
def get_supported_providers() -> list[str]
```

**Returns:** `list[str]` of provider keys (e.g., `["anthropic", "openai", ...]`).

### Instance Methods

All instance methods below are called on an `AnyLLM` object returned by `AnyLLM.create()`.

#### `completion()` / `acompletion()`

Create a chat completion. See the [Completion](/api-reference/completion.md) reference for the full parameter list.

```
def completion(self, model, messages, *, stream=None, response_format=None, **kwargs)
    -> ChatCompletion | Iterator[ChatCompletionChunk] | ParsedChatCompletion

async def acompletion(self, model, messages, *, stream=None, response_format=None, **kwargs)
    -> ChatCompletion | AsyncIterator[ChatCompletionChunk] | ParsedChatCompletion
```

#### `responses()` / `aresponses()`

Create a response using the OpenResponses API. See the [Responses](/api-reference/responses.md) reference.

```
def responses(self, **kwargs)
    -> ResponseResource | Response | Iterator[ResponseStreamEvent]

async def aresponses(self, **kwargs)
    -> ResponseResource | Response | AsyncIterator[ResponseStreamEvent]
```

#### `messages()` / `amessages()`

Create a message using the Anthropic Messages API format. All providers support this through automatic conversion.

```
def messages(self, **kwargs)
    -> MessageResponse | Iterator[MessageStreamEvent]

async def amessages(self, model, messages, max_tokens, **kwargs)
    -> MessageResponse | AsyncIterator[MessageStreamEvent]
```

#### `list_models()` / `alist_models()`

List available models for this provider. See the [List Models](/api-reference/list-models.md) reference.

```
def list_models(self, **kwargs) -> Sequence[Model]
async def alist_models(self, **kwargs) -> Sequence[Model]
```

#### `create_batch()` / `acreate_batch()`

Create a batch job. See the [Batch](/api-reference/batch.md) reference.

```
def create_batch(self, **kwargs) -> Batch
async def acreate_batch(self, input_file_path, endpoint, completion_window="24h", metadata=None, **kwargs) -> Batch
```

#### `get_provider_metadata()`

Returns metadata for this provider instance's class.

```
def get_provider_metadata() -> ProviderMetadata
```

**Returns:** A [`ProviderMetadata`](/api-reference/completion-1/provider.md) object describing the provider's capabilities.

```python
llm = AnyLLM.create("mistral")
meta = llm.get_provider_metadata()
print(f"Supports streaming: {meta.streaming}")
print(f"Supports embedding: {meta.embedding}")
print(f"Supports responses: {meta.responses}")
```


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