litellm/litellm/anthropic_interface
Raghav Jhavar 272a48d880
[bug fix] do not fallback to token counter if disable_token_counter is enabled (#19041)
* do not fallback to token counter if disable_token_counter is enabled, and return errors instead

* add exceptions and exception utils to map the same as /v1/chat/completions

* use safe_json_loads
2026-01-13 16:53:38 -08:00
..
exceptions [bug fix] do not fallback to token counter if disable_token_counter is enabled (#19041) 2026-01-13 16:53:38 -08:00
messages [Feat] Unified Skills API - works across Anthropic, Vertex, Azure, Bedrock (#18232) 2025-12-19 18:55:59 +05:30
__init__.py fix mypy lint errors 2025-03-31 16:52:39 -07:00
readme.md docs anthropic messages interface 2025-03-31 16:53:39 -07:00

Use LLM API endpoints in Anthropic Interface

Note: This is called anthropic_interface because anthropic is a known python package and was failing mypy type checking.

Usage


LiteLLM Python SDK

Non-streaming example

import litellm
response = await litellm.anthropic.messages.acreate(
    messages=[{"role": "user", "content": "Hello, can you tell me a short joke?"}],
    api_key=api_key,
    model="anthropic/claude-3-haiku-20240307",
    max_tokens=100,
)

Example response:

{
  "content": [
    {
      "text": "Hi! this is a very short joke",
      "type": "text"
    }
  ],
  "id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
  "model": "claude-3-7-sonnet-20250219",
  "role": "assistant",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "type": "message",
  "usage": {
    "input_tokens": 2095,
    "output_tokens": 503,
    "cache_creation_input_tokens": 2095,
    "cache_read_input_tokens": 0
  }
}

Streaming example

import litellm
response = await litellm.anthropic.messages.acreate(
    messages=[{"role": "user", "content": "Hello, can you tell me a short joke?"}],
    api_key=api_key,
    model="anthropic/claude-3-haiku-20240307",
    max_tokens=100,
    stream=True,
)
async for chunk in response:
    print(chunk)

LiteLLM Proxy Server

  1. Setup config.yaml
model_list:
    - model_name: anthropic-claude
      litellm_params:
        model: claude-3-7-sonnet-latest
  1. Start proxy
litellm --config /path/to/config.yaml
  1. Test it!
import anthropic

# point anthropic sdk to litellm proxy 
client = anthropic.Anthropic(
    base_url="http://0.0.0.0:4000",
    api_key="sk-1234",
)

response = client.messages.create(
    messages=[{"role": "user", "content": "Hello, can you tell me a short joke?"}],
    model="anthropic/claude-3-haiku-20240307",
    max_tokens=100,
)
curl -L -X POST 'http://0.0.0.0:4000/v1/messages' \
-H 'content-type: application/json' \
-H 'x-api-key: $LITELLM_API_KEY' \
-H 'anthropic-version: 2023-06-01' \
-d '{
  "model": "anthropic-claude",
  "messages": [
    {
      "role": "user",
      "content": "Hello, can you tell me a short joke?"
    }
  ],
  "max_tokens": 100
}'