Amazon Bedrock

Amazon Bedrock

OpenClaw 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

OpenClaw can automatically discover Bedrock models that support streaming and text output. Discovery uses bedrock:ListFoundationModels and is cached (default: 1 hour).

How the implicit provider is enabled:

• If models.bedrockDiscovery.enabled is true, OpenClaw will try discovery even when no AWS env marker is present.
• If models.bedrockDiscovery.enabled is unset, OpenClaw only auto-adds the implicit Bedrock provider when it sees one of these AWS auth markers: AWS_BEARER_TOKEN_BEDROCK, AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY, or AWS_PROFILE.
• The actual Bedrock runtime auth path still uses the AWS SDK default chain, so shared config, SSO, and IMDS instance-role auth can work even when discovery needed enabled: true to opt in.

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 auto mode. In auto mode, OpenClaw only enables the implicit Bedrock provider when it sees a supported AWS env marker.
• 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).
• For explicit models.providers["amazon-bedrock"] entries, OpenClaw can still resolve Bedrock env-marker auth early from AWS env markers such as AWS_BEARER_TOKEN_BEDROCK without forcing full runtime auth loading. The actual model-call auth path still uses the AWS SDK default chain.

Onboarding

1. 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="..."

2. 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: "us.anthropic.claude-opus-4-6-v1:0",
            name: "Claude Opus 4.6 (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/us.anthropic.claude-opus-4-6-v1:0" },
    },
  },
}

EC2 Instance Roles

When running OpenClaw on an EC2 instance with an IAM role attached, the AWS SDK can use the instance metadata service (IMDS) for authentication. For Bedrock model discovery, OpenClaw only auto-enables the implicit provider from AWS env markers unless you explicitly set models.bedrockDiscovery.enabled: true.

Recommended setup for IMDS-backed hosts:

• Set models.bedrockDiscovery.enabled to true.
• Set models.bedrockDiscovery.region (or export AWS_REGION).
• You do not need a fake API key.
• You only need AWS_PROFILE=default if you specifically want an env marker for auto mode or status surfaces.

# Recommended: explicit discovery enable + region
openclaw config set models.bedrockDiscovery.enabled true
openclaw config set models.bedrockDiscovery.region us-east-1

# Optional: add an env marker if you want auto mode without explicit enable
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 (AWS path)

# 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 explicitly
openclaw config set models.bedrockDiscovery.enabled true
openclaw config set models.bedrockDiscovery.region us-east-1

# 4. Optional: add an env marker if you want auto mode without explicit enable
echo 'export AWS_PROFILE=default' >> ~/.bashrc
echo 'export AWS_REGION=us-east-1' >> ~/.bashrc
source ~/.bashrc

# 5. Verify models are discovered
openclaw models list

Notes

• Bedrock requires model access enabled in your AWS account/region.
• Automatic discovery needs the bedrock:ListFoundationModels permission.
• If you rely on auto mode, set one of the supported AWS auth env markers on the gateway host. If you prefer IMDS/shared-config auth without env markers, set models.bedrockDiscovery.enabled: true.
• OpenClaw 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.

Guardrails

You can apply Amazon Bedrock Guardrails to all Bedrock model invocations by adding a guardrail object to the amazon-bedrock plugin config. Guardrails let you enforce content filtering, topic denial, word filters, sensitive information filters, and contextual grounding checks.

{
  plugins: {
    entries: {
      "amazon-bedrock": {
        config: {
          guardrail: {
            guardrailIdentifier: "abc123", // guardrail ID or full ARN
            guardrailVersion: "1", // version number or "DRAFT"
            streamProcessingMode: "sync", // optional: "sync" or "async"
            trace: "enabled", // optional: "enabled", "disabled", or "enabled_full"
          },
        },
      },
    },
  },
}

• guardrailIdentifier (required) accepts a guardrail ID (e.g. abc123) or a full ARN (e.g. arn:aws:bedrock:us-east-1:123456789012:guardrail/abc123).
• guardrailVersion (required) specifies which published version to use, or "DRAFT" for the working draft.
• streamProcessingMode (optional) controls whether guardrail evaluation runs synchronously ("sync") or asynchronously ("async") during streaming. If omitted, Bedrock uses its default behavior.
• trace (optional) enables guardrail trace output in the API response. Set to "enabled" or "enabled_full" for debugging; omit or set "disabled" for production.

The IAM principal used by the gateway must have the bedrock:ApplyGuardrail permission in addition to the standard invoke permissions.