> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.models.anthropic model

<a id="camel.models.anthropic_model" />

<a id="camel.models.anthropic_model.strip_trailing_whitespace_from_messages" />

## strip\_trailing\_whitespace\_from\_messages

```python theme={"system"}
def strip_trailing_whitespace_from_messages(messages: List[OpenAIMessage]):
```

Strip trailing whitespace from all message contents in a list of
messages. This is necessary because the Anthropic API doesn't allow
trailing whitespace in message content.

**Parameters:**

* **messages** (List\[OpenAIMessage]): List of messages to process

**Returns:**

List\[OpenAIMessage]: The processed messages with trailing whitespace
removed

<a id="camel.models.anthropic_model.AnthropicModel" />

## AnthropicModel

```python theme={"system"}
class AnthropicModel(BaseModelBackend):
```

Anthropic API in a unified BaseModelBackend interface.

**Parameters:**

* **model\_type** (Union\[ModelType, str]): Model for which a backend is created, one of CLAUDE\_\* series.
* **model\_config\_dict** (Optional\[Dict\[str, Any]], optional): A dictionary that will be fed into Anthropic API. If :obj:`None`, :obj:`AnthropicConfig().as_dict()` will be used. (default: :obj:`None`)
* **api\_key** (Optional\[str], optional): The API key for authenticating with the Anthropic service. (default: :obj:`None`)
* **url** (Optional\[str], optional): The url to the Anthropic service. (default: :obj:`None`)
* **token\_counter** (Optional\[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:`AnthropicTokenCounter` will be used. (default: :obj:`None`)
* **timeout** (Optional\[float], optional): The timeout value in seconds for API calls. If not provided, will fall back to the MODEL\_TIMEOUT environment variable or default to 180 seconds. (default: :obj:`None`)
* **max\_retries** (int, optional): Maximum number of retries for API calls. (default: :obj:`3`)
* **client** (Optional\[Any], optional): A custom synchronous Anthropic client instance. If provided, this client will be used instead of creating a new one. (default: :obj:`None`)
* **async\_client** (Optional\[Any], optional): A custom asynchronous Anthropic client instance. If provided, this client will be used instead of creating a new one. (default: :obj:`None`)
* **use\_beta\_for\_structured\_outputs** (bool, optional): Whether to use the beta API for structured outputs. (default: :obj:`False`) \*\*kwargs (Any): Additional arguments to pass to the client initialization.

<a id="camel.models.anthropic_model.AnthropicModel.__init__" />

### **init**

```python theme={"system"}
def __init__(
    self,
    model_type: Union[ModelType, str],
    model_config_dict: Optional[Dict[str, Any]] = None,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
    token_counter: Optional[BaseTokenCounter] = None,
    timeout: Optional[float] = None,
    max_retries: int = 3,
    client: Optional[Any] = None,
    async_client: Optional[Any] = None,
    use_beta_for_structured_outputs: bool = False,
    **kwargs: Any
):
```

<a id="camel.models.anthropic_model.AnthropicModel.token_counter" />

### token\_counter

```python theme={"system"}
def token_counter(self):
```

**Returns:**

AnthropicTokenCounter: The token counter following the model's
tokenization style.

<a id="camel.models.anthropic_model.AnthropicModel._convert_openai_to_anthropic_messages" />

### \_convert\_openai\_to\_anthropic\_messages

```python theme={"system"}
def _convert_openai_to_anthropic_messages(self, messages: List[OpenAIMessage]):
```

Convert OpenAI format messages to Anthropic format.

**Parameters:**

* **messages** (List\[OpenAIMessage]): Messages in OpenAI format.

**Returns:**

tuple\[Optional\[str], List\[Dict\[str, Any]]]: A tuple containing
the system message (if any) and the list of messages in
Anthropic format.

<a id="camel.models.anthropic_model.AnthropicModel._convert_anthropic_to_openai_response" />

### \_convert\_anthropic\_to\_openai\_response

```python theme={"system"}
def _convert_anthropic_to_openai_response(self, response: Any, model: str):
```

Convert Anthropic API response to OpenAI ChatCompletion format.

**Parameters:**

* **response**: The response object from Anthropic API.
* **model** (str): The model name.

**Returns:**

ChatCompletion: Response in OpenAI format.

<a id="camel.models.anthropic_model.AnthropicModel._convert_anthropic_stream_to_openai_chunk" />

### \_convert\_anthropic\_stream\_to\_openai\_chunk

```python theme={"system"}
def _convert_anthropic_stream_to_openai_chunk(
    self,
    chunk: Any,
    model: str,
    tool_call_index: Dict[str, int],
    finish_reason_sent: bool = False
):
```

Convert Anthropic streaming chunk to OpenAI ChatCompletionChunk.

**Parameters:**

* **chunk**: The streaming chunk from Anthropic API.
* **model** (str): The model name.
* **tool\_call\_index** (Dict\[str, int]): A mutable dict tracking tool call indices by their IDs, used to maintain consistent indexing across streaming chunks.

**Returns:**

ChatCompletionChunk: Chunk in OpenAI format.

<a id="camel.models.anthropic_model.AnthropicModel._convert_openai_tools_to_anthropic" />

### \_convert\_openai\_tools\_to\_anthropic

```python theme={"system"}
def _convert_openai_tools_to_anthropic(self, tools: Optional[List[Dict[str, Any]]]):
```

Convert OpenAI tools format to Anthropic tools format.

**Parameters:**

* **tools** (Optional\[List\[Dict\[str, Any]]]): Tools in OpenAI format.

**Returns:**

Optional\[List\[Dict\[str, Any]]]: Tools in Anthropic format.

<a id="camel.models.anthropic_model.AnthropicModel._run" />

### \_run

```python theme={"system"}
def _run(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[Dict[str, Any]]] = None
):
```

Runs inference of Anthropic chat completion.

**Parameters:**

* **messages** (List\[OpenAIMessage]): Message list with the chat history in OpenAI API format.
* **response\_format** (Optional\[Type\[BaseModel]]): The format of the response. (Not supported by Anthropic API directly)
* **tools** (Optional\[List\[Dict\[str, Any]]]): The schema of the tools to use for the request.

**Returns:**

Union\[ChatCompletion, Stream\[ChatCompletionChunk]]:
`ChatCompletion` in the non-stream mode, or
`Stream[ChatCompletionChunk]` in the stream mode.

<a id="camel.models.anthropic_model.AnthropicModel._wrap_anthropic_stream" />

### \_wrap\_anthropic\_stream

```python theme={"system"}
def _wrap_anthropic_stream(self, stream: Any, model: str):
```

Wrap Anthropic streaming response to OpenAI Stream format.

**Parameters:**

* **stream**: The streaming response from Anthropic API.
* **model** (str): The model name.

**Returns:**

Stream\[ChatCompletionChunk]: Stream in OpenAI format.

<a id="camel.models.anthropic_model.AnthropicModel._wrap_anthropic_async_stream" />

### \_wrap\_anthropic\_async\_stream

```python theme={"system"}
def _wrap_anthropic_async_stream(self, stream: Any, model: str):
```

Wrap Anthropic async streaming response to OpenAI AsyncStream.

**Parameters:**

* **stream**: The async streaming response from Anthropic API.
* **model** (str): The model name.

**Returns:**

AsyncStream\[ChatCompletionChunk]: AsyncStream in OpenAI format.

<a id="camel.models.anthropic_model.AnthropicModel.stream" />

### stream

```python theme={"system"}
def stream(self):
```

**Returns:**

bool: Whether the model is in stream mode.