Amazon Bedrock

Moltbot can use Amazon Bedrock models via pi‑ai’s Bedrock Converse streaming provider. Bedrock auth uses the AWS SDK default credential chain, not an API key.

What pi‑ai supports

Provider: amazon-bedrock
API: bedrock-converse-stream
Auth: AWS credentials (env vars, shared config, or instance role)
Region: AWS_REGION or AWS_DEFAULT_REGION (default: us-east-1)

Automatic model discovery

If AWS credentials are detected, Moltbot can automatically discover Bedrock models that support streaming and text output. Discovery uses bedrock:ListFoundationModels and is cached (default: 1 hour).

Config options live under models.bedrockDiscovery:

{
  models: {
    bedrockDiscovery: {
      enabled: true,
      region: "us-east-1",
      providerFilter: ["anthropic", "amazon"],
      refreshInterval: 3600,
      defaultContextWindow: 32000,
      defaultMaxTokens: 4096
    }
  }
}

Notes:

enabled defaults to true when AWS credentials are present.
region defaults to AWS_REGION or AWS_DEFAULT_REGION, then us-east-1.
providerFilter matches Bedrock provider names (for example anthropic).
refreshInterval is seconds; set to 0 to disable caching.
defaultContextWindow (default: 32000) and defaultMaxTokens (default: 4096) are used for discovered models (override if you know your model limits).

Setup (manual)

Ensure AWS credentials are available on the gateway host:

export AWS_ACCESS_KEY_ID="AKIA..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"
# Optional:
export AWS_SESSION_TOKEN="..."
export AWS_PROFILE="your-profile"
# Optional (Bedrock API key/bearer token):
export AWS_BEARER_TOKEN_BEDROCK="..."

Add a Bedrock provider and model to your config (no apiKey required):

{
  models: {
    providers: {
      "amazon-bedrock": {
        baseUrl: "https://bedrock-runtime.us-east-1.amazonaws.com",
        api: "bedrock-converse-stream",
        auth: "aws-sdk",
        models: [
          {
            id: "anthropic.claude-opus-4-5-20251101-v1:0",
            name: "Claude Opus 4.5 (Bedrock)",
            reasoning: true,
            input: ["text", "image"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 200000,
            maxTokens: 8192
          }
        ]
      }
    }
  },
  agents: {
    defaults: {
      model: { primary: "amazon-bedrock/anthropic.claude-opus-4-5-20251101-v1:0" }
    }
  }
}

EC2 Instance Roles

When running Moltbot on an EC2 instance with an IAM role attached, the AWS SDK will automatically use the instance metadata service (IMDS) for authentication. However, Moltbot's credential detection currently only checks for environment variables, not IMDS credentials.

Workaround: Set AWS_PROFILE=default to signal that AWS credentials are available. The actual authentication still uses the instance role via IMDS.

# Add to ~/.bashrc or your shell profile
export AWS_PROFILE=default
export AWS_REGION=us-east-1

Required IAM permissions for the EC2 instance role:

bedrock:InvokeModel
bedrock:InvokeModelWithResponseStream
bedrock:ListFoundationModels (for automatic discovery)

Or attach the managed policy AmazonBedrockFullAccess.

Quick setup:

# 1. Create IAM role and instance profile
aws iam create-role --role-name EC2-Bedrock-Access \
  --assume-role-policy-document '{
    "Version": "2012-10-17",
    "Statement": [{
      "Effect": "Allow",
      "Principal": {"Service": "ec2.amazonaws.com"},
      "Action": "sts:AssumeRole"
    }]
  }'

aws iam attach-role-policy --role-name EC2-Bedrock-Access \
  --policy-arn arn:aws:iam::aws:policy/AmazonBedrockFullAccess

aws iam create-instance-profile --instance-profile-name EC2-Bedrock-Access
aws iam add-role-to-instance-profile \
  --instance-profile-name EC2-Bedrock-Access \
  --role-name EC2-Bedrock-Access

# 2. Attach to your EC2 instance
aws ec2 associate-iam-instance-profile \
  --instance-id i-xxxxx \
  --iam-instance-profile Name=EC2-Bedrock-Access

# 3. On the EC2 instance, enable discovery
moltbot config set models.bedrockDiscovery.enabled true
moltbot config set models.bedrockDiscovery.region us-east-1

# 4. Set the workaround env vars
echo 'export AWS_PROFILE=default' >> ~/.bashrc
echo 'export AWS_REGION=us-east-1' >> ~/.bashrc
source ~/.bashrc

# 5. Verify models are discovered
moltbot models list

Notes

Bedrock requires model access enabled in your AWS account/region.
Automatic discovery needs the bedrock:ListFoundationModels permission.
If you use profiles, set AWS_PROFILE on the gateway host.
Moltbot surfaces the credential source in this order: AWS_BEARER_TOKEN_BEDROCK, then AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY, then AWS_PROFILE, then the default AWS SDK chain.
Reasoning support depends on the model; check the Bedrock model card for current capabilities.
If you prefer a managed key flow, you can also place an OpenAI‑compatible proxy in front of Bedrock and configure it as an OpenAI provider instead.

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