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

# anthropic

> Claude models

**Server path:** `/anthropic` | **Type:** Application | **PCID required:** Yes

## Tools

| Tool                                                                          | Description                                                                                                                           |
| ----------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- |
| [`anthropic_analyze_image`](#anthropic_analyze_image)                         | DEPRECATED — Analyze an image using Claude vision capabilities. Use anthropic\_create\_message with image content blocks instead.     |
| [`anthropic_batch_messages`](#anthropic_batch_messages)                       | DEPRECATED — Process multiple messages sequentially. Use anthropic\_create\_message\_batch for proper async batch processing instead. |
| [`anthropic_cancel_message_batch`](#anthropic_cancel_message_batch)           | Cancel a Message Batch                                                                                                                |
| [`anthropic_count_tokens`](#anthropic_count_tokens)                           | Count tokens in a Message                                                                                                             |
| [`anthropic_create_message`](#anthropic_create_message)                       | Create a Message                                                                                                                      |
| [`anthropic_create_message_batch`](#anthropic_create_message_batch)           | Create a Message Batch                                                                                                                |
| [`anthropic_create_skill`](#anthropic_create_skill)                           | Create Skill                                                                                                                          |
| [`anthropic_create_skill_version`](#anthropic_create_skill_version)           | Create Skill Version                                                                                                                  |
| [`anthropic_delete_file`](#anthropic_delete_file)                             | Delete File                                                                                                                           |
| [`anthropic_delete_message_batch`](#anthropic_delete_message_batch)           | Delete a Message Batch                                                                                                                |
| [`anthropic_delete_skill`](#anthropic_delete_skill)                           | Delete Skill                                                                                                                          |
| [`anthropic_delete_skill_version`](#anthropic_delete_skill_version)           | Delete Skill Version                                                                                                                  |
| [`anthropic_download_file`](#anthropic_download_file)                         | Download File                                                                                                                         |
| [`anthropic_get_file`](#anthropic_get_file)                                   | Get File Metadata                                                                                                                     |
| [`anthropic_get_message_batch`](#anthropic_get_message_batch)                 | Retrieve a Message Batch                                                                                                              |
| [`anthropic_get_message_batch_results`](#anthropic_get_message_batch_results) | Retrieve Message Batch results                                                                                                        |
| [`anthropic_get_model`](#anthropic_get_model)                                 | Get a Model                                                                                                                           |
| [`anthropic_get_skill`](#anthropic_get_skill)                                 | Get Skill                                                                                                                             |
| [`anthropic_get_skill_version`](#anthropic_get_skill_version)                 | Get Skill Version                                                                                                                     |
| [`anthropic_list_files`](#anthropic_list_files)                               | List Files                                                                                                                            |
| [`anthropic_list_message_batches`](#anthropic_list_message_batches)           | List Message Batches                                                                                                                  |
| [`anthropic_list_models`](#anthropic_list_models)                             | List Models                                                                                                                           |
| [`anthropic_list_skill_versions`](#anthropic_list_skill_versions)             | List Skill Versions                                                                                                                   |
| [`anthropic_list_skills`](#anthropic_list_skills)                             | List Skills                                                                                                                           |
| [`anthropic_upload_file`](#anthropic_upload_file)                             | Upload File                                                                                                                           |

***

## anthropic\_analyze\_image

DEPRECATED — Analyze an image using Claude vision capabilities. Use anthropic\_create\_message with image content blocks instead.

**Parameters:**

| Parameter     | Type    | Required | Default | Description                                                              |
| ------------- | ------- | -------- | ------- | ------------------------------------------------------------------------ |
| `model`       | string  | No       | —       | Claude model with vision capabilities (e.g., claude-sonnet-4-5-20250929) |
| `imageUrl`    | string  | No       | —       | URL of image to analyze                                                  |
| `imageBase64` | string  | No       | —       | Base64 encoded image data                                                |
| `prompt`      | string  | Yes      | —       | Question or instruction about the image                                  |
| `maxTokens`   | integer | No       | —       | Maximum tokens to generate                                               |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model": {
        "type": "string",
        "description": "Claude model with vision capabilities (e.g., claude-sonnet-4-5-20250929)"
      },
      "imageUrl": {
        "type": "string",
        "description": "URL of image to analyze"
      },
      "imageBase64": {
        "type": "string",
        "description": "Base64 encoded image data"
      },
      "prompt": {
        "type": "string",
        "description": "Question or instruction about the image"
      },
      "maxTokens": {
        "type": "integer",
        "description": "Maximum tokens to generate"
      }
    },
    "required": [
      "PCID",
      "prompt"
    ]
  }
  ```
</Expandable>

***

## anthropic\_batch\_messages

DEPRECATED — Process multiple messages sequentially. Use anthropic\_create\_message\_batch for proper async batch processing instead.

**Parameters:**

| Parameter     | Type      | Required | Default | Description                                            |
| ------------- | --------- | -------- | ------- | ------------------------------------------------------ |
| `model`       | string    | Yes      | —       | Claude model to use (e.g., claude-sonnet-4-5-20250929) |
| `requests`    | object\[] | Yes      | —       | Array of message requests to process sequentially      |
| `temperature` | number    | No       | —       | Sampling temperature (0-1)                             |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model": {
        "type": "string",
        "description": "Claude model to use (e.g., claude-sonnet-4-5-20250929)"
      },
      "requests": {
        "type": "array",
        "description": "Array of message requests to process sequentially",
        "items": {
          "type": "object",
          "properties": {
            "messages": {
              "type": "array",
              "description": "Messages for this request",
              "items": {
                "type": "object",
                "properties": {
                  "role": {
                    "type": "string",
                    "description": "Message role (user or assistant)"
                  },
                  "content": {
                    "type": "string",
                    "description": "Message content"
                  }
                },
                "required": [
                  "role",
                  "content"
                ]
              }
            },
            "system": {
              "type": "string",
              "description": "System prompt"
            },
            "maxTokens": {
              "type": "integer",
              "description": "Max tokens for this request"
            }
          },
          "required": [
            "messages"
          ]
        }
      },
      "temperature": {
        "type": "number",
        "description": "Sampling temperature (0-1)"
      }
    },
    "required": [
      "PCID",
      "model",
      "requests"
    ]
  }
  ```
</Expandable>

***

## anthropic\_cancel\_message\_batch

Cancel a Message Batch

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                           |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message_batch_id`  | string | Yes      | —       | ID of the Message Batch.                                                                                                                              |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "message_batch_id": {
        "type": "string",
        "description": "ID of the Message Batch."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "message_batch_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_count\_tokens

Count tokens in a Message

**Parameters:**

| Parameter           | Type      | Required | Default | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| ------------------- | --------- | -------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `anthropic-version` | string    | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| `cache_control`     | object    | No       | —       | Top-level cache control automatically applies a cache\_control marker to the last cacheable block in the request.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
| `messages`          | object\[] | Yes      | —       | Input messages.  Our models are trained to operate on alternating `user` and `assistant` conversational turns. When creating a new `Message`, you specify the prior conversational turns with the `messages` parameter, and the model then generates the next `Message` in the conversation. Consecutive `user` or `assistant` turns in your request will be combined into a single turn.  Each input message must be an object with a `role` and `content`. You can specify a single `user`-role message, or you can include multiple `user` and `assistant` messages.  If the final message uses the `assistant` role, the response content will continue immediately from the content in that message. This can be used to constrain part of the model's response.  Example with a single `user` message:  `json [&#123;"role": "user", "content": "Hello, Claude"&#125;] `  Example with multiple conversational turns:  `json [   &#123;"role": "user", "content": "Hello there."&#125;,   &#123;"role": "assistant", "content": "Hi, I'm Claude. How can I help you?"&#125;,   &#123;"role": "user", "content": "Can you explain LLMs in plain English?"&#125;, ] `  Example with a partially-filled response from Claude:  `json [   &#123;"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"&#125;,   &#123;"role": "assistant", "content": "The best answer is ("&#125;, ] `  Each input message `content` may be either a single `string` or an array of content blocks, where each block has a specific `type`. Using a `string` for `content` is shorthand for an array of one content block of type `"text"`. The following input messages are equivalent:  `json &#123;"role": "user", "content": "Hello, Claude"&#125; `  `json &#123;"role": "user", "content": [&#123;"type": "text", "text": "Hello, Claude"&#125;]&#125; `  See [input examples](https://docs.claude.com/en/api/messages-examples).  Note that if you want to include a [system prompt](https://docs.claude.com/en/docs/system-prompts), you can use the top-level `system` parameter — there is no `"system"` role for input messages in the Messages API.  There is a limit of 100,000 messages in a single request.                                                                                                                                                                                                                                    |
| `model`             | object    | Yes      | —       | The model that will complete your prompt.  See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| `output_config`     | object    | No       | —       | Output Config                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| `system`            | object    | No       | —       | System prompt.  A system prompt is a way of providing context and instructions to Claude, such as specifying a particular goal or role. See our [guide to system prompts](https://docs.claude.com/en/docs/system-prompts).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
| `thinking`          | object    | No       | —       | Configuration for enabling Claude's extended thinking.  When enabled, responses include `thinking` content blocks showing Claude's thinking process before the final answer. Requires a minimum budget of 1,024 tokens and counts towards your `max_tokens` limit.  See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| `tool_choice`       | object    | No       | —       | How the model should use the provided tools. The model can use a specific tool, any available tool, decide by itself, or not use tools at all.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
| `tools`             | any\[]    | No       | —       | Definitions of tools that the model may use.  If you include `tools` in your API request, the model may return `tool_use` content blocks that represent the model's use of those tools. You can then run those tools using the tool input generated by the model and then optionally return results back to the model using `tool_result` content blocks.  There are two types of tools: **client tools** and **server tools**. The behavior described below applies to client tools. For [server tools](https://docs.claude.com/en/docs/agents-and-tools/tool-use/overview#server-tools), see their individual documentation as each has its own behavior (e.g., the [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool)).  Each tool definition includes:  \* `name`: Name of the tool. \* `description`: Optional, but strongly-recommended description of the tool. \* `input_schema`: [JSON schema](https://json-schema.org/draft/2020-12) for the tool `input` shape that the model will produce in `tool_use` output content blocks.  For example, if you defined `tools` as:  `json [   &#123;     "name": "get_stock_price",     "description": "Get the current stock price for a given ticker symbol.",     "input_schema": &#123;       "type": "object",       "properties": &#123;         "ticker": &#123;           "type": "string",           "description": "The stock ticker symbol, e.g. AAPL for Apple Inc."         &#125;       &#125;,       "required": ["ticker"]     &#125;   &#125; ] `  And then asked the model "What's the S\&P 500 at today?", the model might produce `tool_use` content blocks in the response like this:  `json [   &#123;     "type": "tool_use",     "id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV",     "name": "get_stock_price",     "input": &#123; "ticker": "^GSPC" &#125;   &#125; ] `  You might then run your `get_stock_price` tool with `&#123;"ticker": "^GSPC"&#125;` as an input, and return the following back to the model in a subsequent `user` message:  `json [   &#123;     "type": "tool_result",     "tool_use_id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV",     "content": "259.75 USD"   &#125; ] `  Tools can be used for workflows that include running client-side tools and functions, or more generally whenever you want the model to produce a particular JSON structure of output.  See our [guide](https://docs.claude.com/en/docs/tool-use) for more details. |

<Expandable title="inputSchema">
  ````json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "cache_control": {
        "type": "object",
        "description": "Top-level cache control automatically applies a cache_control marker to the last cacheable block in the request.",
        "properties": {
          "ttl": {
            "type": "string",
            "description": "The time-to-live for the cache control breakpoint.  This may be one the following values: - `5m`: 5 minutes - `1h`: 1 hour  Defaults to `5m`.",
            "enum": [
              "5m",
              "1h"
            ]
          },
          "type": {
            "type": "string",
            "description": "The type value"
          }
        },
        "required": [
          "type"
        ]
      },
      "messages": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "content": {
              "description": "The content value"
            },
            "role": {
              "type": "string",
              "enum": [
                "user",
                "assistant",
                "system"
              ],
              "description": "The role value"
            }
          },
          "required": [
            "content",
            "role"
          ]
        },
        "description": "Input messages.  Our models are trained to operate on alternating `user` and `assistant` conversational turns. When creating a new `Message`, you specify the prior conversational turns with the `messages` parameter, and the model then generates the next `Message` in the conversation. Consecutive `user` or `assistant` turns in your request will be combined into a single turn.  Each input message must be an object with a `role` and `content`. You can specify a single `user`-role message, or you can include multiple `user` and `assistant` messages.  If the final message uses the `assistant` role, the response content will continue immediately from the content in that message. This can be used to constrain part of the model's response.  Example with a single `user` message:  ```json [{\"role\": \"user\", \"content\": \"Hello, Claude\"}] ```  Example with multiple conversational turns:  ```json [   {\"role\": \"user\", \"content\": \"Hello there.\"},   {\"role\": \"assistant\", \"content\": \"Hi, I'm Claude. How can I help you?\"},   {\"role\": \"user\", \"content\": \"Can you explain LLMs in plain English?\"}, ] ```  Example with a partially-filled response from Claude:  ```json [   {\"role\": \"user\", \"content\": \"What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun\"},   {\"role\": \"assistant\", \"content\": \"The best answer is (\"}, ] ```  Each input message `content` may be either a single `string` or an array of content blocks, where each block has a specific `type`. Using a `string` for `content` is shorthand for an array of one content block of type `\"text\"`. The following input messages are equivalent:  ```json {\"role\": \"user\", \"content\": \"Hello, Claude\"} ```  ```json {\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Hello, Claude\"}]} ```  See [input examples](https://docs.claude.com/en/api/messages-examples).  Note that if you want to include a [system prompt](https://docs.claude.com/en/docs/system-prompts), you can use the top-level `system` parameter — there is no `\"system\"` role for input messages in the Messages API.  There is a limit of 100,000 messages in a single request."
      },
      "model": {
        "description": "The model that will complete your prompt.  See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options."
      },
      "output_config": {
        "type": "object",
        "description": "Output Config",
        "properties": {
          "effort": {
            "type": "string",
            "description": "How much effort the model should put into its response. Higher effort levels may result in more thorough analysis but take longer.  Valid values are `low`, `medium`, `high`, `xhigh`, or `max`.",
            "enum": [
              "low",
              "medium",
              "high",
              "xhigh",
              "max"
            ]
          },
          "format": {
            "type": "object",
            "description": "A schema to specify Claude's output format in responses. See [structured outputs](https://platform.claude.com/docs/en/build-with-claude/structured-outputs)"
          }
        }
      },
      "system": {
        "description": "System prompt.  A system prompt is a way of providing context and instructions to Claude, such as specifying a particular goal or role. See our [guide to system prompts](https://docs.claude.com/en/docs/system-prompts)."
      },
      "thinking": {
        "description": "Configuration for enabling Claude's extended thinking.  When enabled, responses include `thinking` content blocks showing Claude's thinking process before the final answer. Requires a minimum budget of 1,024 tokens and counts towards your `max_tokens` limit.  See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details."
      },
      "tool_choice": {
        "description": "How the model should use the provided tools. The model can use a specific tool, any available tool, decide by itself, or not use tools at all."
      },
      "tools": {
        "type": "array",
        "description": "Definitions of tools that the model may use.  If you include `tools` in your API request, the model may return `tool_use` content blocks that represent the model's use of those tools. You can then run those tools using the tool input generated by the model and then optionally return results back to the model using `tool_result` content blocks.  There are two types of tools: **client tools** and **server tools**. The behavior described below applies to client tools. For [server tools](https://docs.claude.com/en/docs/agents-and-tools/tool-use/overview#server-tools), see their individual documentation as each has its own behavior (e.g., the [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool)).  Each tool definition includes:  * `name`: Name of the tool. * `description`: Optional, but strongly-recommended description of the tool. * `input_schema`: [JSON schema](https://json-schema.org/draft/2020-12) for the tool `input` shape that the model will produce in `tool_use` output content blocks.  For example, if you defined `tools` as:  ```json [   {     \"name\": \"get_stock_price\",     \"description\": \"Get the current stock price for a given ticker symbol.\",     \"input_schema\": {       \"type\": \"object\",       \"properties\": {         \"ticker\": {           \"type\": \"string\",           \"description\": \"The stock ticker symbol, e.g. AAPL for Apple Inc.\"         }       },       \"required\": [\"ticker\"]     }   } ] ```  And then asked the model \"What's the S&P 500 at today?\", the model might produce `tool_use` content blocks in the response like this:  ```json [   {     \"type\": \"tool_use\",     \"id\": \"toolu_01D7FLrfh4GYq7yT1ULFeyMV\",     \"name\": \"get_stock_price\",     \"input\": { \"ticker\": \"^GSPC\" }   } ] ```  You might then run your `get_stock_price` tool with `{\"ticker\": \"^GSPC\"}` as an input, and return the following back to the model in a subsequent `user` message:  ```json [   {     \"type\": \"tool_result\",     \"tool_use_id\": \"toolu_01D7FLrfh4GYq7yT1ULFeyMV\",     \"content\": \"259.75 USD\"   } ] ```  Tools can be used for workflows that include running client-side tools and functions, or more generally whenever you want the model to produce a particular JSON structure of output.  See our [guide](https://docs.claude.com/en/docs/tool-use) for more details."
      }
    },
    "required": [
      "PCID",
      "messages",
      "model"
    ]
  }
  ````
</Expandable>

***

## anthropic\_create\_message

Create a Message

**Parameters:**

| Parameter           | Type      | Required | Default | Description                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| ------------------- | --------- | -------- | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `anthropic-version` | string    | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| `cache_control`     | object    | No       | —       | Top-level cache control automatically applies a cache\_control marker to the last cacheable block in the request.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                |
| `container`         | string    | No       | —       | Container identifier for reuse across requests.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| `inference_geo`     | string    | No       | —       | Specifies the geographic region for inference processing. If not specified, the workspace's `default_inference_geo` is used.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
| `max_tokens`        | integer   | Yes      | —       | The maximum number of tokens to generate before stopping.  Note that our models may stop *before* reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate.  Set to `0` to populate the [prompt cache](https://docs.claude.com/en/docs/build-with-claude/prompt-caching#pre-warming-the-cache) without generating a response.  Different models have different maximum values for this parameter.  See [models](https://docs.claude.com/en/docs/models-overview) for details.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      |
| `messages`          | object\[] | Yes      | —       | Input messages.  Our models are trained to operate on alternating `user` and `assistant` conversational turns. When creating a new `Message`, you specify the prior conversational turns with the `messages` parameter, and the model then generates the next `Message` in the conversation. Consecutive `user` or `assistant` turns in your request will be combined into a single turn.  Each input message must be an object with a `role` and `content`. You can specify a single `user`-role message, or you can include multiple `user` and `assistant` messages.  If the final message uses the `assistant` role, the response content will continue immediately from the content in that message. This can be used to constrain part of the model's response.  Example with a single `user` message:  `json [&#123;"role": "user", "content": "Hello, Claude"&#125;] `  Example with multiple conversational turns:  `json [   &#123;"role": "user", "content": "Hello there."&#125;,   &#123;"role": "assistant", "content": "Hi, I'm Claude. How can I help you?"&#125;,   &#123;"role": "user", "content": "Can you explain LLMs in plain English?"&#125;, ] `  Example with a partially-filled response from Claude:  `json [   &#123;"role": "user", "content": "What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun"&#125;,   &#123;"role": "assistant", "content": "The best answer is ("&#125;, ] `  Each input message `content` may be either a single `string` or an array of content blocks, where each block has a specific `type`. Using a `string` for `content` is shorthand for an array of one content block of type `"text"`. The following input messages are equivalent:  `json &#123;"role": "user", "content": "Hello, Claude"&#125; `  `json &#123;"role": "user", "content": [&#123;"type": "text", "text": "Hello, Claude"&#125;]&#125; `  See [input examples](https://docs.claude.com/en/api/messages-examples).  Note that if you want to include a [system prompt](https://docs.claude.com/en/docs/system-prompts), you can use the top-level `system` parameter — there is no `"system"` role for input messages in the Messages API.  There is a limit of 100,000 messages in a single request.                                                                                                                                                                                                                                    |
| `metadata`          | object    | No       | —       | The metadata value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               |
| `model`             | object    | Yes      | —       | The model that will complete your prompt.  See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  |
| `output_config`     | object    | No       | —       | Output Config                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| `service_tier`      | string    | No       | —       | Determines whether to use priority capacity (if available) or standard capacity for this request.  Anthropic offers different levels of service for your API requests. See [service-tiers](https://docs.claude.com/en/api/service-tiers) for details.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| `stop_sequences`    | string\[] | No       | —       | Custom text sequences that will cause the model to stop generating.  Our models will normally stop when they have naturally completed their turn, which will result in a response `stop_reason` of `"end_turn"`.  If you want the model to stop generating when it encounters custom strings of text, you can use the `stop_sequences` parameter. If the model encounters one of the custom sequences, the response `stop_reason` value will be `"stop_sequence"` and the response `stop_sequence` value will contain the matched stop sequence.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
| `stream`            | boolean   | No       | —       | Whether to incrementally stream the response using server-sent events.  See [streaming](https://docs.claude.com/en/api/messages-streaming) for details.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          |
| `system`            | object    | No       | —       | System prompt.  A system prompt is a way of providing context and instructions to Claude, such as specifying a particular goal or role. See our [guide to system prompts](https://docs.claude.com/en/docs/system-prompts).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
| `temperature`       | number    | No       | —       | Amount of randomness injected into the response.  Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0` for analytical / multiple choice, and closer to `1.0` for creative and generative tasks.  Note that even with `temperature` of `0.0`, the results will not be fully deterministic.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            |
| `thinking`          | object    | No       | —       | Configuration for enabling Claude's extended thinking.  When enabled, responses include `thinking` content blocks showing Claude's thinking process before the final answer. Requires a minimum budget of 1,024 tokens and counts towards your `max_tokens` limit.  See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    |
| `tool_choice`       | object    | No       | —       | How the model should use the provided tools. The model can use a specific tool, any available tool, decide by itself, or not use tools at all.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   |
| `tools`             | any\[]    | No       | —       | Definitions of tools that the model may use.  If you include `tools` in your API request, the model may return `tool_use` content blocks that represent the model's use of those tools. You can then run those tools using the tool input generated by the model and then optionally return results back to the model using `tool_result` content blocks.  There are two types of tools: **client tools** and **server tools**. The behavior described below applies to client tools. For [server tools](https://docs.claude.com/en/docs/agents-and-tools/tool-use/overview#server-tools), see their individual documentation as each has its own behavior (e.g., the [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool)).  Each tool definition includes:  \* `name`: Name of the tool. \* `description`: Optional, but strongly-recommended description of the tool. \* `input_schema`: [JSON schema](https://json-schema.org/draft/2020-12) for the tool `input` shape that the model will produce in `tool_use` output content blocks.  For example, if you defined `tools` as:  `json [   &#123;     "name": "get_stock_price",     "description": "Get the current stock price for a given ticker symbol.",     "input_schema": &#123;       "type": "object",       "properties": &#123;         "ticker": &#123;           "type": "string",           "description": "The stock ticker symbol, e.g. AAPL for Apple Inc."         &#125;       &#125;,       "required": ["ticker"]     &#125;   &#125; ] `  And then asked the model "What's the S\&P 500 at today?", the model might produce `tool_use` content blocks in the response like this:  `json [   &#123;     "type": "tool_use",     "id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV",     "name": "get_stock_price",     "input": &#123; "ticker": "^GSPC" &#125;   &#125; ] `  You might then run your `get_stock_price` tool with `&#123;"ticker": "^GSPC"&#125;` as an input, and return the following back to the model in a subsequent `user` message:  `json [   &#123;     "type": "tool_result",     "tool_use_id": "toolu_01D7FLrfh4GYq7yT1ULFeyMV",     "content": "259.75 USD"   &#125; ] `  Tools can be used for workflows that include running client-side tools and functions, or more generally whenever you want the model to produce a particular JSON structure of output.  See our [guide](https://docs.claude.com/en/docs/tool-use) for more details. |
| `top_k`             | integer   | No       | —       | Only sample from the top K options for each subsequent token.  Used to remove "long tail" low probability responses. [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277).  Recommended for advanced use cases only.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              |
| `top_p`             | number    | No       | —       | Use nucleus sampling.  In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`.  Recommended for advanced use cases only.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        |

<Expandable title="inputSchema">
  ````json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "cache_control": {
        "type": "object",
        "description": "Top-level cache control automatically applies a cache_control marker to the last cacheable block in the request.",
        "properties": {
          "ttl": {
            "type": "string",
            "description": "The time-to-live for the cache control breakpoint.  This may be one the following values: - `5m`: 5 minutes - `1h`: 1 hour  Defaults to `5m`.",
            "enum": [
              "5m",
              "1h"
            ]
          },
          "type": {
            "type": "string",
            "description": "The type value"
          }
        },
        "required": [
          "type"
        ]
      },
      "container": {
        "type": "string",
        "description": "Container identifier for reuse across requests."
      },
      "inference_geo": {
        "type": "string",
        "description": "Specifies the geographic region for inference processing. If not specified, the workspace's `default_inference_geo` is used."
      },
      "max_tokens": {
        "type": "integer",
        "description": "The maximum number of tokens to generate before stopping.  Note that our models may stop _before_ reaching this maximum. This parameter only specifies the absolute maximum number of tokens to generate.  Set to `0` to populate the [prompt cache](https://docs.claude.com/en/docs/build-with-claude/prompt-caching#pre-warming-the-cache) without generating a response.  Different models have different maximum values for this parameter.  See [models](https://docs.claude.com/en/docs/models-overview) for details."
      },
      "messages": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "content": {
              "description": "The content value"
            },
            "role": {
              "type": "string",
              "enum": [
                "user",
                "assistant",
                "system"
              ],
              "description": "The role value"
            }
          },
          "required": [
            "content",
            "role"
          ]
        },
        "description": "Input messages.  Our models are trained to operate on alternating `user` and `assistant` conversational turns. When creating a new `Message`, you specify the prior conversational turns with the `messages` parameter, and the model then generates the next `Message` in the conversation. Consecutive `user` or `assistant` turns in your request will be combined into a single turn.  Each input message must be an object with a `role` and `content`. You can specify a single `user`-role message, or you can include multiple `user` and `assistant` messages.  If the final message uses the `assistant` role, the response content will continue immediately from the content in that message. This can be used to constrain part of the model's response.  Example with a single `user` message:  ```json [{\"role\": \"user\", \"content\": \"Hello, Claude\"}] ```  Example with multiple conversational turns:  ```json [   {\"role\": \"user\", \"content\": \"Hello there.\"},   {\"role\": \"assistant\", \"content\": \"Hi, I'm Claude. How can I help you?\"},   {\"role\": \"user\", \"content\": \"Can you explain LLMs in plain English?\"}, ] ```  Example with a partially-filled response from Claude:  ```json [   {\"role\": \"user\", \"content\": \"What's the Greek name for Sun? (A) Sol (B) Helios (C) Sun\"},   {\"role\": \"assistant\", \"content\": \"The best answer is (\"}, ] ```  Each input message `content` may be either a single `string` or an array of content blocks, where each block has a specific `type`. Using a `string` for `content` is shorthand for an array of one content block of type `\"text\"`. The following input messages are equivalent:  ```json {\"role\": \"user\", \"content\": \"Hello, Claude\"} ```  ```json {\"role\": \"user\", \"content\": [{\"type\": \"text\", \"text\": \"Hello, Claude\"}]} ```  See [input examples](https://docs.claude.com/en/api/messages-examples).  Note that if you want to include a [system prompt](https://docs.claude.com/en/docs/system-prompts), you can use the top-level `system` parameter — there is no `\"system\"` role for input messages in the Messages API.  There is a limit of 100,000 messages in a single request."
      },
      "metadata": {
        "type": "object",
        "description": "The metadata value",
        "properties": {
          "user_id": {
            "type": "string",
            "description": "An external identifier for the user who is associated with the request.  This should be a uuid, hash value, or other opaque identifier. Anthropic may use this id to help detect abuse. Do not include any identifying information such as name, email address, or phone number."
          }
        }
      },
      "model": {
        "description": "The model that will complete your prompt.  See [models](https://docs.anthropic.com/en/docs/models-overview) for additional details and options."
      },
      "output_config": {
        "type": "object",
        "description": "Output Config",
        "properties": {
          "effort": {
            "type": "string",
            "description": "How much effort the model should put into its response. Higher effort levels may result in more thorough analysis but take longer.  Valid values are `low`, `medium`, `high`, `xhigh`, or `max`.",
            "enum": [
              "low",
              "medium",
              "high",
              "xhigh",
              "max"
            ]
          },
          "format": {
            "type": "object",
            "description": "A schema to specify Claude's output format in responses. See [structured outputs](https://platform.claude.com/docs/en/build-with-claude/structured-outputs)"
          }
        }
      },
      "service_tier": {
        "type": "string",
        "description": "Determines whether to use priority capacity (if available) or standard capacity for this request.  Anthropic offers different levels of service for your API requests. See [service-tiers](https://docs.claude.com/en/api/service-tiers) for details.",
        "enum": [
          "auto",
          "standard_only"
        ]
      },
      "stop_sequences": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Custom text sequences that will cause the model to stop generating.  Our models will normally stop when they have naturally completed their turn, which will result in a response `stop_reason` of `\"end_turn\"`.  If you want the model to stop generating when it encounters custom strings of text, you can use the `stop_sequences` parameter. If the model encounters one of the custom sequences, the response `stop_reason` value will be `\"stop_sequence\"` and the response `stop_sequence` value will contain the matched stop sequence."
      },
      "stream": {
        "type": "boolean",
        "description": "Whether to incrementally stream the response using server-sent events.  See [streaming](https://docs.claude.com/en/api/messages-streaming) for details."
      },
      "system": {
        "description": "System prompt.  A system prompt is a way of providing context and instructions to Claude, such as specifying a particular goal or role. See our [guide to system prompts](https://docs.claude.com/en/docs/system-prompts)."
      },
      "temperature": {
        "type": "number",
        "description": "Amount of randomness injected into the response.  Defaults to `1.0`. Ranges from `0.0` to `1.0`. Use `temperature` closer to `0.0` for analytical / multiple choice, and closer to `1.0` for creative and generative tasks.  Note that even with `temperature` of `0.0`, the results will not be fully deterministic."
      },
      "thinking": {
        "description": "Configuration for enabling Claude's extended thinking.  When enabled, responses include `thinking` content blocks showing Claude's thinking process before the final answer. Requires a minimum budget of 1,024 tokens and counts towards your `max_tokens` limit.  See [extended thinking](https://docs.claude.com/en/docs/build-with-claude/extended-thinking) for details."
      },
      "tool_choice": {
        "description": "How the model should use the provided tools. The model can use a specific tool, any available tool, decide by itself, or not use tools at all."
      },
      "tools": {
        "type": "array",
        "description": "Definitions of tools that the model may use.  If you include `tools` in your API request, the model may return `tool_use` content blocks that represent the model's use of those tools. You can then run those tools using the tool input generated by the model and then optionally return results back to the model using `tool_result` content blocks.  There are two types of tools: **client tools** and **server tools**. The behavior described below applies to client tools. For [server tools](https://docs.claude.com/en/docs/agents-and-tools/tool-use/overview#server-tools), see their individual documentation as each has its own behavior (e.g., the [web search tool](https://docs.claude.com/en/docs/agents-and-tools/tool-use/web-search-tool)).  Each tool definition includes:  * `name`: Name of the tool. * `description`: Optional, but strongly-recommended description of the tool. * `input_schema`: [JSON schema](https://json-schema.org/draft/2020-12) for the tool `input` shape that the model will produce in `tool_use` output content blocks.  For example, if you defined `tools` as:  ```json [   {     \"name\": \"get_stock_price\",     \"description\": \"Get the current stock price for a given ticker symbol.\",     \"input_schema\": {       \"type\": \"object\",       \"properties\": {         \"ticker\": {           \"type\": \"string\",           \"description\": \"The stock ticker symbol, e.g. AAPL for Apple Inc.\"         }       },       \"required\": [\"ticker\"]     }   } ] ```  And then asked the model \"What's the S&P 500 at today?\", the model might produce `tool_use` content blocks in the response like this:  ```json [   {     \"type\": \"tool_use\",     \"id\": \"toolu_01D7FLrfh4GYq7yT1ULFeyMV\",     \"name\": \"get_stock_price\",     \"input\": { \"ticker\": \"^GSPC\" }   } ] ```  You might then run your `get_stock_price` tool with `{\"ticker\": \"^GSPC\"}` as an input, and return the following back to the model in a subsequent `user` message:  ```json [   {     \"type\": \"tool_result\",     \"tool_use_id\": \"toolu_01D7FLrfh4GYq7yT1ULFeyMV\",     \"content\": \"259.75 USD\"   } ] ```  Tools can be used for workflows that include running client-side tools and functions, or more generally whenever you want the model to produce a particular JSON structure of output.  See our [guide](https://docs.claude.com/en/docs/tool-use) for more details."
      },
      "top_k": {
        "type": "integer",
        "description": "Only sample from the top K options for each subsequent token.  Used to remove \"long tail\" low probability responses. [Learn more technical details here](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277).  Recommended for advanced use cases only."
      },
      "top_p": {
        "type": "number",
        "description": "Use nucleus sampling.  In nucleus sampling, we compute the cumulative distribution over all the options for each subsequent token in decreasing probability order and cut it off once it reaches a particular probability specified by `top_p`.  Recommended for advanced use cases only."
      }
    },
    "required": [
      "PCID",
      "max_tokens",
      "messages",
      "model"
    ]
  }
  ````
</Expandable>

***

## anthropic\_create\_message\_batch

Create a Message Batch

**Parameters:**

| Parameter           | Type      | Required | Default | Description                                                                                                                                           |
| ------------------- | --------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `anthropic-version` | string    | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |
| `requests`          | object\[] | Yes      | —       | List of requests for prompt completion. Each is an individual request to create a Message.                                                            |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "requests": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "custom_id": {
              "type": "string",
              "description": "Developer-provided ID created for each request in a Message Batch. Useful for matching results to requests, as results may be given out of request order.  Must be unique for each request within the Message Batch."
            },
            "params": {
              "type": "object",
              "description": "The params value"
            }
          },
          "required": [
            "custom_id",
            "params"
          ]
        },
        "description": "List of requests for prompt completion. Each is an individual request to create a Message."
      }
    },
    "required": [
      "PCID",
      "requests"
    ]
  }
  ```
</Expandable>

***

## anthropic\_create\_skill

Create Skill

**Parameters:**

| Parameter           | Type      | Required | Default | Description                                                                                                                                                                               |
| ------------------- | --------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `anthropic-beta`    | string    | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string    | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |
| `display_title`     | string    | No       | —       | Display title for the skill.  This is a human-readable label that is not included in the prompt sent to the model.                                                                        |
| `files`             | string\[] | No       | —       | Files to upload for the skill.  All files must be in the same top-level directory and must include a SKILL.md file at the root of that directory.                                         |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "display_title": {
        "type": "string",
        "description": "Display title for the skill.  This is a human-readable label that is not included in the prompt sent to the model."
      },
      "files": {
        "type": "array",
        "items": {
          "type": "string",
          "format": "binary"
        },
        "description": "Files to upload for the skill.  All files must be in the same top-level directory and must include a SKILL.md file at the root of that directory."
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## anthropic\_create\_skill\_version

Create Skill Version

**Parameters:**

| Parameter           | Type      | Required | Default | Description                                                                                                                                                                               |
| ------------------- | --------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string    | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `anthropic-beta`    | string    | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string    | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |
| `files`             | string\[] | No       | —       | Files to upload for the skill.  All files must be in the same top-level directory and must include a SKILL.md file at the root of that directory.                                         |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "files": {
        "type": "array",
        "items": {
          "type": "string",
          "format": "binary"
        },
        "description": "Files to upload for the skill.  All files must be in the same top-level directory and must include a SKILL.md file at the root of that directory."
      }
    },
    "required": [
      "PCID",
      "skill_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_delete\_file

Delete File

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `file_id`           | string | Yes      | —       | ID of the File.                                                                                                                                                                           |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "file_id": {
        "type": "string",
        "description": "ID of the File."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "file_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_delete\_message\_batch

Delete a Message Batch

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                           |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message_batch_id`  | string | Yes      | —       | ID of the Message Batch.                                                                                                                              |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "message_batch_id": {
        "type": "string",
        "description": "ID of the Message Batch."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "message_batch_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_delete\_skill

Delete Skill

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "skill_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_delete\_skill\_version

Delete Skill Version

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `version`           | string | Yes      | —       | Version identifier for the skill.  Each version is identified by a Unix epoch timestamp (e.g., "1759178010641129").                                                                       |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "version": {
        "type": "string",
        "description": "Version identifier for the skill.  Each version is identified by a Unix epoch timestamp (e.g., \"1759178010641129\")."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "skill_id",
      "version"
    ]
  }
  ```
</Expandable>

***

## anthropic\_download\_file

Download File

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `file_id`           | string | Yes      | —       | ID of the File.                                                                                                                                                                           |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "file_id": {
        "type": "string",
        "description": "ID of the File."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "file_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_file

Get File Metadata

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `file_id`           | string | Yes      | —       | ID of the File.                                                                                                                                                                           |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "file_id": {
        "type": "string",
        "description": "ID of the File."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "file_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_message\_batch

Retrieve a Message Batch

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                           |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message_batch_id`  | string | Yes      | —       | ID of the Message Batch.                                                                                                                              |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "message_batch_id": {
        "type": "string",
        "description": "ID of the Message Batch."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "message_batch_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_message\_batch\_results

Retrieve Message Batch results

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                           |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `message_batch_id`  | string | Yes      | —       | ID of the Message Batch.                                                                                                                              |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "message_batch_id": {
        "type": "string",
        "description": "ID of the Message Batch."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "message_batch_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_model

Get a Model

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `model_id`          | string | Yes      | —       | Model identifier or alias.                                                                                                                                                                |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "model_id": {
        "type": "string",
        "description": "Model identifier or alias."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      }
    },
    "required": [
      "PCID",
      "model_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_skill

Get Skill

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "skill_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_get\_skill\_version

Get Skill Version

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `version`           | string | Yes      | —       | Version identifier for the skill.  Each version is identified by a Unix epoch timestamp (e.g., "1759178010641129").                                                                       |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "version": {
        "type": "string",
        "description": "Version identifier for the skill.  Each version is identified by a Unix epoch timestamp (e.g., \"1759178010641129\")."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "skill_id",
      "version"
    ]
  }
  ```
</Expandable>

***

## anthropic\_list\_files

List Files

**Parameters:**

| Parameter           | Type    | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `before_id`         | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object.                                                            |
| `after_id`          | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object.                                                             |
| `limit`             | integer | No       | —       | Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`.                                                                                                         |
| `scope_id`          | string  | No       | —       | Filter by scope ID. Only returns files associated with the specified scope (e.g., a session ID).                                                                                          |
| `anthropic-beta`    | string  | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string  | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "before_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object."
      },
      "after_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object."
      },
      "limit": {
        "type": "integer",
        "description": "Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`."
      },
      "scope_id": {
        "type": "string",
        "description": "Filter by scope ID. Only returns files associated with the specified scope (e.g., a session ID)."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## anthropic\_list\_message\_batches

List Message Batches

**Parameters:**

| Parameter           | Type    | Required | Default | Description                                                                                                                                           |
| ------------------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------- |
| `before_id`         | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object.                        |
| `after_id`          | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object.                         |
| `limit`             | integer | No       | —       | Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`.                                                                     |
| `anthropic-version` | string  | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning). |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "before_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object."
      },
      "after_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object."
      },
      "limit": {
        "type": "integer",
        "description": "Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## anthropic\_list\_models

List Models

**Parameters:**

| Parameter           | Type    | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `before_id`         | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object.                                                            |
| `after_id`          | string  | No       | —       | ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object.                                                             |
| `limit`             | integer | No       | —       | Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`.                                                                                                         |
| `anthropic-version` | string  | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |
| `anthropic-beta`    | string  | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "before_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately before this object."
      },
      "after_id": {
        "type": "string",
        "description": "ID of the object to use as a cursor for pagination. When provided, returns the page of results immediately after this object."
      },
      "limit": {
        "type": "integer",
        "description": "Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## anthropic\_list\_skill\_versions

List Skill Versions

**Parameters:**

| Parameter           | Type    | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `skill_id`          | string  | Yes      | —       | Unique identifier for the skill.  The format and length of IDs may change over time.                                                                                                      |
| `page`              | string  | No       | —       | Optionally set to the `next_page` token from the previous response.                                                                                                                       |
| `limit`             | integer | No       | —       | Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`.                                                                                                         |
| `anthropic-beta`    | string  | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string  | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "skill_id": {
        "type": "string",
        "description": "Unique identifier for the skill.  The format and length of IDs may change over time."
      },
      "page": {
        "type": "string",
        "description": "Optionally set to the `next_page` token from the previous response."
      },
      "limit": {
        "type": "integer",
        "description": "Number of items to return per page.  Defaults to `20`. Ranges from `1` to `1000`."
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID",
      "skill_id"
    ]
  }
  ```
</Expandable>

***

## anthropic\_list\_skills

List Skills

**Parameters:**

| Parameter           | Type    | Required | Default | Description                                                                                                                                                                                          |
| ------------------- | ------- | -------- | ------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `page`              | string  | No       | —       | Pagination token for fetching a specific page of results.  Pass the value from a previous response's `next_page` field to get the next page of results.                                              |
| `limit`             | integer | No       | —       | Number of results to return per page.  Maximum value is 100. Defaults to 20.                                                                                                                         |
| `source`            | string  | No       | —       | Filter skills by source.  If provided, only skills from the specified source will be returned: \* `"custom"`: only return user-created skills \* `"anthropic"`: only return Anthropic-created skills |
| `anthropic-beta`    | string  | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta.            |
| `anthropic-version` | string  | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                                |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "page": {
        "type": "string",
        "description": "Pagination token for fetching a specific page of results.  Pass the value from a previous response's `next_page` field to get the next page of results."
      },
      "limit": {
        "type": "integer",
        "description": "Number of results to return per page.  Maximum value is 100. Defaults to 20."
      },
      "source": {
        "type": "string",
        "description": "Filter skills by source.  If provided, only skills from the specified source will be returned: * `\"custom\"`: only return user-created skills * `\"anthropic\"`: only return Anthropic-created skills"
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      }
    },
    "required": [
      "PCID"
    ]
  }
  ```
</Expandable>

***

## anthropic\_upload\_file

Upload File

**Parameters:**

| Parameter           | Type   | Required | Default | Description                                                                                                                                                                               |
| ------------------- | ------ | -------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `anthropic-beta`    | string | No       | —       | Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta. |
| `anthropic-version` | string | No       | —       | The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning).                                     |
| `file`              | string | Yes      | —       | The file to upload                                                                                                                                                                        |

<Expandable title="inputSchema">
  ```json theme={null}
  {
    "type": "object",
    "properties": {
      "PCID": {
        "type": "string",
        "description": "Pink Connect ID for the authenticated connection"
      },
      "anthropic-beta": {
        "type": "string",
        "description": "Optional header to specify the beta version(s) you want to use.  To use multiple betas, use a comma separated list like `beta1,beta2` or specify the header multiple times for each beta."
      },
      "anthropic-version": {
        "type": "string",
        "description": "The version of the Claude API you want to use.  Read more about versioning and our version history [here](https://docs.claude.com/en/api/versioning)."
      },
      "file": {
        "type": "string",
        "description": "The file to upload"
      }
    },
    "required": [
      "PCID",
      "file"
    ]
  }
  ```
</Expandable>
