Day 0 Support: Claude Sonnet 4.6

LiteLLM now supports Claude Sonnet 4.6 on Day 0. Use it across Anthropic, Azure, Vertex AI, and Bedrock through the LiteLLM AI Gateway.

Docker Image

docker pull ghcr.io/berriai/litellm:v1.81.3-stable.sonnet-4-6

Usage - Anthropic

LiteLLM Proxy

1. Setup config.yaml

model_list:
  - model_name: claude-sonnet-4-6
    litellm_params:
      model: anthropic/claude-sonnet-4-6
      api_key: os.environ/ANTHROPIC_API_KEY

2. Start the proxy

docker run -d \
  -p 4000:4000 \
  -e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.81.3-stable.sonnet-4-6 \
  --config /app/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
  "model": "claude-sonnet-4-6",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ]
}'

LiteLLM SDK

from litellm import completion

response = completion(
    model="anthropic/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "what llm are you"}]
)
print(response.choices[0].message.content)

Usage - Azure

LiteLLM Proxy

1. Setup config.yaml

model_list:
  - model_name: claude-sonnet-4-6
    litellm_params:
      model: azure_ai/claude-sonnet-4-6
      api_key: os.environ/AZURE_AI_API_KEY
      api_base: os.environ/AZURE_AI_API_BASE  # https://<resource>.services.ai.azure.com

2. Start the proxy

docker run -d \
  -p 4000:4000 \
  -e AZURE_AI_API_KEY=$AZURE_AI_API_KEY \
  -e AZURE_AI_API_BASE=$AZURE_AI_API_BASE \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.81.3-stable.sonnet-4-6 \
  --config /app/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
  "model": "claude-sonnet-4-6",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ]
}'

LiteLLM SDK

from litellm import completion

response = completion(
    model="azure_ai/claude-sonnet-4-6",
    api_key="your-azure-api-key",
    api_base="https://<resource>.services.ai.azure.com",
    messages=[{"role": "user", "content": "what llm are you"}]
)
print(response.choices[0].message.content)

Usage - Vertex AI

LiteLLM Proxy

1. Setup config.yaml

model_list:
  - model_name: claude-sonnet-4-6
    litellm_params:
      model: vertex_ai/claude-sonnet-4-6
      vertex_project: os.environ/VERTEX_PROJECT
      vertex_location: us-east5

2. Start the proxy

docker run -d \
  -p 4000:4000 \
  -e VERTEX_PROJECT=$VERTEX_PROJECT \
  -e GOOGLE_APPLICATION_CREDENTIALS=/app/credentials.json \
  -v $(pwd)/config.yaml:/app/config.yaml \
  -v $(pwd)/credentials.json:/app/credentials.json \
  ghcr.io/berriai/litellm:v1.81.3-stable.sonnet-4-6 \
  --config /app/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
  "model": "claude-sonnet-4-6",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ]
}'

LiteLLM SDK

from litellm import completion

response = completion(
    model="vertex_ai/claude-sonnet-4-6",
    vertex_project="your-project-id",
    vertex_location="us-east5",
    messages=[{"role": "user", "content": "what llm are you"}]
)
print(response.choices[0].message.content)

Usage - Bedrock

LiteLLM Proxy

1. Setup config.yaml

model_list:
  - model_name: claude-sonnet-4-6
    litellm_params:
      model: bedrock/anthropic.claude-sonnet-4-6-v1
      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
      aws_region_name: us-east-1

2. Start the proxy

docker run -d \
  -p 4000:4000 \
  -e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
  -e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.81.3-stable.sonnet-4-6 \
  --config /app/config.yaml

3. Test it!

curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
  "model": "claude-sonnet-4-6",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ]
}'

LiteLLM SDK

from litellm import completion

response = completion(
    model="bedrock/anthropic.claude-sonnet-4-6-v1",
    aws_access_key_id="your-access-key",
    aws_secret_access_key="your-secret-key",
    aws_region_name="us-east-1",
    messages=[{"role": "user", "content": "what llm are you"}]
)
print(response.choices[0].message.content)