chat-ui/docs/source/configuration/models/providers/anthropic.md

Anthropic

Feature	Available
Tools	No
Multimodal	Yes

We also support Anthropic models (including multimodal ones via multmodal: true) through the official SDK. You may provide your API key via the ANTHROPIC_API_KEY env variable, or alternatively, through the endpoints.apiKey as per the following example.

MODELS=`[
  {
      "name": "claude-3-haiku-20240307",
      "displayName": "Claude 3 Haiku",
      "description": "Fastest and most compact model for near-instant responsiveness",
      "multimodal": true,
      "parameters": {
        "max_new_tokens": 4096,
      },
      "endpoints": [
        {
          "type": "anthropic",
          // optionals
          "apiKey": "sk-ant-...",
          "baseURL": "https://api.anthropic.com",
          "defaultHeaders": {},
          "defaultQuery": {}
        }
      ]
  },
  {
      "name": "claude-3-sonnet-20240229",
      "displayName": "Claude 3 Sonnet",
      "description": "Ideal balance of intelligence and speed",
      "multimodal": true,
      "parameters": {
        "max_new_tokens": 4096,
      },
      "endpoints": [
        {
          "type": "anthropic",
          // optionals
          "apiKey": "sk-ant-...",
          "baseURL": "https://api.anthropic.com",
          "defaultHeaders": {},
          "defaultQuery": {}
        }
      ]
  },
  {
      "name": "claude-3-opus-20240229",
      "displayName": "Claude 3 Opus",
      "description": "Most powerful model for highly complex tasks",
      "multimodal": true,
      "parameters": {
         "max_new_tokens": 4096
      },
      "endpoints": [
        {
          "type": "anthropic",
          // optionals
          "apiKey": "sk-ant-...",
          "baseURL": "https://api.anthropic.com",
          "defaultHeaders": {},
          "defaultQuery": {}
        }
      ]
  }
]`

VertexAI

We also support using Anthropic models running on Vertex AI. Authentication is done using Google Application Default Credentials. Project ID can be provided through the endpoints.projectId as per the following example:

MODELS=`[
  {
      "name": "claude-3-haiku@20240307",
      "displayName": "Claude 3 Haiku",
      "description": "Fastest, most compact model for near-instant responsiveness",
      "multimodal": true,
      "parameters": {
         "max_new_tokens": 4096
      },
      "endpoints": [
        {
          "type": "anthropic-vertex",
          "region": "us-central1",
          "projectId": "gcp-project-id",
          // optionals
          "defaultHeaders": {},
          "defaultQuery": {}
        }
      ]
  },
  {
      "name": "claude-3-sonnet@20240229",
      "displayName": "Claude 3 Sonnet",
      "description": "Ideal balance of intelligence and speed",
      "multimodal": true,
      "parameters": {
        "max_new_tokens": 4096,
      },
      "endpoints": [
        {
          "type": "anthropic-vertex",
          "region": "us-central1",
          "projectId": "gcp-project-id",
          // optionals
          "defaultHeaders": {},
          "defaultQuery": {}
        }
      ]
  },
]`