---
title: "/invoke"
url: "/docs/bedrock_invoke"
canonical_url: "https://docs.litellm.ai/docs/bedrock_invoke"
type: "docs"
last_updated: "2026-10-14"
summary: "Call Bedrock's /invoke endpoint through LiteLLM Proxy."
related:
  - "/docs/apply_guardrail"
  - "/docs/interactions"
---
# /invoke

> Index of all LiteLLM docs: https://docs.litellm.ai/llms.txt


Call Bedrock's `/invoke` endpoint through LiteLLM Proxy.

| Feature | Supported | 
|---------|-----------|
| Cost Tracking | ✅ |
| Logging | ✅ |
| Streaming | ✅ via `/invoke-with-response-stream` |
| Load Balancing | ✅ |

## Quick Start

### 1. Setup config.yaml

```yaml showLineNumbers
model_list:
  - model_name: my-bedrock-model
    litellm_params:
      model: bedrock/us.anthropic.claude-sonnet-5
      aws_region_name: us-west-2
      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID  # reads from environment
      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
      custom_llm_provider: bedrock
```

Set AWS credentials in your environment:

```bash showLineNumbers
export AWS_ACCESS_KEY_ID="your-access-key"
export AWS_SECRET_ACCESS_KEY="your-secret-key"
```

### 2. Start Proxy

```bash showLineNumbers
litellm --config config.yaml

# RUNNING on http://0.0.0.0:4000
```

### 3. Call /invoke endpoint

```bash showLineNumbers
curl -X POST 'http://0.0.0.0:4000/bedrock/model/my-bedrock-model/invoke' \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "max_tokens": 100,
    "messages": [
        {
            "role": "user",
            "content": "Hello, how are you?"
        }
    ],
    "anthropic_version": "bedrock-2023-05-31"
}'
```

## Streaming

For streaming responses, use `/invoke-with-response-stream`:

```bash showLineNumbers
curl -X POST 'http://0.0.0.0:4000/bedrock/model/my-bedrock-model/invoke-with-response-stream' \
-H "Authorization: Bearer $LITELLM_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "max_tokens": 100,
    "messages": [
        {
            "role": "user",
            "content": "Tell me a short story"
        }
    ],
    "anthropic_version": "bedrock-2023-05-31"
}'
```

## Load Balancing

Define multiple deployments with the same `model_name` for automatic load balancing:

```yaml showLineNumbers
model_list:
  # Deployment 1 - us-west-2
  - model_name: my-bedrock-model
    litellm_params:
      model: bedrock/us.anthropic.claude-sonnet-5
      aws_region_name: us-west-2
      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
      custom_llm_provider: bedrock
  
  # Deployment 2 - us-east-1
  - model_name: my-bedrock-model
    litellm_params:
      model: bedrock/us.anthropic.claude-sonnet-5
      aws_region_name: us-east-1
      aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
      aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
      custom_llm_provider: bedrock
```

The proxy automatically distributes requests across both regions.

## Using boto3 SDK

```python showLineNumbers
import boto3
import json
import os

# Set dummy AWS credentials (required by boto3, but not used by LiteLLM proxy)
os.environ['AWS_ACCESS_KEY_ID'] = 'dummy'
os.environ['AWS_SECRET_ACCESS_KEY'] = 'dummy'
os.environ['AWS_BEARER_TOKEN_BEDROCK'] = "sk-<your-litellm-api-key>"  # your litellm proxy api key

# Point boto3 to the LiteLLM proxy
bedrock_runtime = boto3.client(
    service_name='bedrock-runtime',
    region_name='us-west-2',
    endpoint_url='http://0.0.0.0:4000/bedrock'
)

response = bedrock_runtime.invoke_model(
    modelId='my-bedrock-model',  # Your model_name from config.yaml
    contentType='application/json',
    accept='application/json',
    body=json.dumps({
        "max_tokens": 100,
        "messages": [{"role": "user", "content": "Hello"}],
        "anthropic_version": "bedrock-2023-05-31"
    })
)

response_body = json.loads(response['body'].read())
print(response_body['content'][0]['text'])
```

## More Info

For complete documentation including Guardrails, Knowledge Bases, and Agents, see:
- [Full Bedrock Passthrough Docs](./pass_through/bedrock)

## Related pages

- [/guardrails/apply_guardrail](https://docs.litellm.ai/docs/apply_guardrail.md)
- [/interactions](https://docs.litellm.ai/docs/interactions.md)