> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ag2.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# autogen.oai.anthropic.AnthropicClient

<h2 id="autogen.oai.anthropic.AnthropicClient" class="doc doc-heading">
  <code class="doc-symbol doc-symbol-heading doc-symbol-class" />

  <span class="doc doc-object-name doc-class-name">AnthropicClient</span>
</h2>

```python theme={null}
AnthropicClient(**kwargs: Any)
```

Initialize the Anthropic API client.<br />

<b>Parameters:</b>

| Name       | Description   |
| ---------- | ------------- |
| `**kwargs` | **Type:** Any |

### Instance Attributes

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#### api\_key

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#### aws\_access\_key

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#### aws\_region

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#### aws\_secret\_key

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#### aws\_session\_token

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#### gcp\_auth\_token

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#### gcp\_project\_id

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#### gcp\_region

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### Instance Methods

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#### convert\_tools\_to\_functions

```python theme={null}
convert_tools_to_functions(tools: list) -> list
```

Convert tool definitions into Anthropic-compatible functions,
updating nested \$ref paths in property schemas.<br />

<b>Parameters:</b>

| Name    | Description                                         |
| ------- | --------------------------------------------------- |
| `tools` | List of tool definitions.<br /><br />**Type:** list |

<b>Returns:</b>

| Type | Description                                       |
| ---- | ------------------------------------------------- |
| list | list: List of functions with updated \$ref paths. |

<br />

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#### cost

```python theme={null}
cost(self, response) -> float
```

Calculate the cost of the completion using the Anthropic pricing.

<b>Parameters:</b>

| Name       | Description |
| ---------- | ----------- |
| `response` |             |

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#### create

```python theme={null}
create(self, params: dict[str, Any]) -> ChatCompletionExtended
```

Creates a completion using the Anthropic API.

<b>Parameters:</b>

| Name     | Description               |
| -------- | ------------------------- |
| `params` | **Type:** dict\[str, Any] |

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#### get\_usage

```python theme={null}
get_usage(response: ChatCompletion) -> dict
```

Get the usage of tokens and their cost information.

<b>Parameters:</b>

| Name       | Description              |
| ---------- | ------------------------ |
| `response` | **Type:** ChatCompletion |

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#### load\_config

```python theme={null}
load_config(self, params: dict[str, Any]) -> 
```

Load the configuration for the Anthropic API client.

<b>Parameters:</b>

| Name     | Description               |
| -------- | ------------------------- |
| `params` | **Type:** dict\[str, Any] |

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#### message\_retrieval

```python theme={null}
message_retrieval(self, response) -> list
```

Retrieve and return a list of strings or a list of Choice.Message from the response.<br />NOTE: if a list of Choice.Message is returned, it currently needs to contain the fields of OpenAI's ChatCompletion Message object,
since that is expected for function or tool calling in the rest of the codebase at the moment, unless a custom agent is being used.

<b>Parameters:</b>

| Name       | Description |
| ---------- | ----------- |
| `response` |             |

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#### openai\_func\_to\_anthropic

```python theme={null}
openai_func_to_anthropic(openai_func: dict) -> dict
```

<b>Parameters:</b>

| Name          | Description    |
| ------------- | -------------- |
| `openai_func` | **Type:** dict |

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