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For 771846c5fa: docs/providers/bedrock.md "Advanced configuration" now
includes a "Claude Opus 4.7 temperature" accordion describing that
OpenClaw automatically omits `temperature` for Opus 4.7 Bedrock refs
(foundation model ids, named profiles, application inference profiles
whose underlying model resolves to Opus 4.7, and dotted `opus-4.7`
variants with regional prefixes), since Bedrock rejects the parameter on
that model. The fix has no user-facing knob, but Opus 4.7 Bedrock users
need to know the request shape changes silently.
372 lines
14 KiB
Markdown
372 lines
14 KiB
Markdown
---
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summary: "Use Amazon Bedrock (Converse API) models with OpenClaw"
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read_when:
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- You want to use Amazon Bedrock models with OpenClaw
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- You need AWS credential/region setup for model calls
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title: "Amazon Bedrock"
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---
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OpenClaw can use **Amazon Bedrock** models via pi-ai's **Bedrock Converse**
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streaming provider. Bedrock auth uses the **AWS SDK default credential chain**,
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not an API key.
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| Property | Value |
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| -------- | ----------------------------------------------------------- |
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| Provider | `amazon-bedrock` |
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| API | `bedrock-converse-stream` |
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| Auth | AWS credentials (env vars, shared config, or instance role) |
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| Region | `AWS_REGION` or `AWS_DEFAULT_REGION` (default: `us-east-1`) |
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## Getting started
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Choose your preferred auth method and follow the setup steps.
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<Tabs>
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<Tab title="Access keys / env vars">
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**Best for:** developer machines, CI, or hosts where you manage AWS credentials directly.
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<Steps>
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<Step title="Set AWS credentials on the gateway host">
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```bash
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export AWS_ACCESS_KEY_ID="AKIA..."
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export AWS_SECRET_ACCESS_KEY="..."
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export AWS_REGION="us-east-1"
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# Optional:
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export AWS_SESSION_TOKEN="..."
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export AWS_PROFILE="your-profile"
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# Optional (Bedrock API key/bearer token):
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export AWS_BEARER_TOKEN_BEDROCK="..."
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```
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</Step>
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<Step title="Add a Bedrock provider and model to your config">
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No `apiKey` is required. Configure the provider with `auth: "aws-sdk"`:
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```json5
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{
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models: {
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providers: {
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"amazon-bedrock": {
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baseUrl: "https://bedrock-runtime.us-east-1.amazonaws.com",
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api: "bedrock-converse-stream",
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auth: "aws-sdk",
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models: [
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{
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id: "us.anthropic.claude-opus-4-6-v1:0",
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name: "Claude Opus 4.6 (Bedrock)",
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reasoning: true,
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input: ["text", "image"],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 200000,
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maxTokens: 8192,
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},
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],
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},
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},
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},
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agents: {
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defaults: {
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model: { primary: "amazon-bedrock/us.anthropic.claude-opus-4-6-v1:0" },
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},
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},
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}
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```
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</Step>
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<Step title="Verify models are available">
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```bash
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openclaw models list
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```
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</Step>
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</Steps>
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<Tip>
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With env-marker auth (`AWS_ACCESS_KEY_ID`, `AWS_PROFILE`, or `AWS_BEARER_TOKEN_BEDROCK`), OpenClaw auto-enables the implicit Bedrock provider for model discovery without extra config.
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</Tip>
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</Tab>
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<Tab title="EC2 instance roles (IMDS)">
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**Best for:** EC2 instances with an IAM role attached, using the instance metadata service for authentication.
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<Steps>
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<Step title="Enable discovery explicitly">
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When using IMDS, OpenClaw cannot detect AWS auth from env markers alone, so you must opt in:
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```bash
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openclaw config set plugins.entries.amazon-bedrock.config.discovery.enabled true
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openclaw config set plugins.entries.amazon-bedrock.config.discovery.region us-east-1
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```
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</Step>
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<Step title="Optionally add an env marker for auto mode">
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If you also want the env-marker auto-detection path to work (for example, for `openclaw status` surfaces):
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```bash
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export AWS_PROFILE=default
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export AWS_REGION=us-east-1
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```
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You do **not** need a fake API key.
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</Step>
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<Step title="Verify models are discovered">
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```bash
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openclaw models list
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```
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</Step>
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</Steps>
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<Warning>
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The IAM role attached to your EC2 instance must have the following permissions:
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- `bedrock:InvokeModel`
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- `bedrock:InvokeModelWithResponseStream`
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- `bedrock:ListFoundationModels` (for automatic discovery)
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- `bedrock:ListInferenceProfiles` (for inference profile discovery)
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Or attach the managed policy `AmazonBedrockFullAccess`.
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</Warning>
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<Note>
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You only need `AWS_PROFILE=default` if you specifically want an env marker for auto mode or status surfaces. The actual Bedrock runtime auth path uses the AWS SDK default chain, so IMDS instance-role auth works even without env markers.
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</Note>
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</Tab>
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</Tabs>
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## Automatic model discovery
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OpenClaw can automatically discover Bedrock models that support **streaming**
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and **text output**. Discovery uses `bedrock:ListFoundationModels` and
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`bedrock:ListInferenceProfiles`, and results are cached (default: 1 hour).
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How the implicit provider is enabled:
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- If `plugins.entries.amazon-bedrock.config.discovery.enabled` is `true`,
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OpenClaw will try discovery even when no AWS env marker is present.
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- If `plugins.entries.amazon-bedrock.config.discovery.enabled` is unset,
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OpenClaw only auto-adds the
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implicit Bedrock provider when it sees one of these AWS auth markers:
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`AWS_BEARER_TOKEN_BEDROCK`, `AWS_ACCESS_KEY_ID` +
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`AWS_SECRET_ACCESS_KEY`, or `AWS_PROFILE`.
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- The actual Bedrock runtime auth path still uses the AWS SDK default chain, so
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shared config, SSO, and IMDS instance-role auth can work even when discovery
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needed `enabled: true` to opt in.
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<Note>
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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.
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</Note>
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<AccordionGroup>
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<Accordion title="Discovery config options">
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Config options live under `plugins.entries.amazon-bedrock.config.discovery`:
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```json5
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{
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plugins: {
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entries: {
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"amazon-bedrock": {
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config: {
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discovery: {
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enabled: true,
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region: "us-east-1",
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providerFilter: ["anthropic", "amazon"],
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refreshInterval: 3600,
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defaultContextWindow: 32000,
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defaultMaxTokens: 4096,
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},
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},
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},
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},
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},
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}
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```
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| Option | Default | Description |
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| ------ | ------- | ----------- |
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| `enabled` | auto | In auto mode, OpenClaw only enables the implicit Bedrock provider when it sees a supported AWS env marker. Set `true` to force discovery. |
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| `region` | `AWS_REGION` / `AWS_DEFAULT_REGION` / `us-east-1` | AWS region used for discovery API calls. |
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| `providerFilter` | (all) | Matches Bedrock provider names (for example `anthropic`, `amazon`). |
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| `refreshInterval` | `3600` | Cache duration in seconds. Set to `0` to disable caching. |
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| `defaultContextWindow` | `32000` | Context window used for discovered models (override if you know your model limits). |
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| `defaultMaxTokens` | `4096` | Max output tokens used for discovered models (override if you know your model limits). |
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</Accordion>
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</AccordionGroup>
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## Quick setup (AWS path)
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This walkthrough creates an IAM role, attaches Bedrock permissions, associates
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the instance profile, and enables OpenClaw discovery on the EC2 host.
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```bash
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# 1. Create IAM role and instance profile
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aws iam create-role --role-name EC2-Bedrock-Access \
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--assume-role-policy-document '{
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"Version": "2012-10-17",
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"Statement": [{
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"Effect": "Allow",
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"Principal": {"Service": "ec2.amazonaws.com"},
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"Action": "sts:AssumeRole"
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}]
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}'
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aws iam attach-role-policy --role-name EC2-Bedrock-Access \
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--policy-arn arn:aws:iam::aws:policy/AmazonBedrockFullAccess
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aws iam create-instance-profile --instance-profile-name EC2-Bedrock-Access
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aws iam add-role-to-instance-profile \
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--instance-profile-name EC2-Bedrock-Access \
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--role-name EC2-Bedrock-Access
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# 2. Attach to your EC2 instance
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aws ec2 associate-iam-instance-profile \
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--instance-id i-xxxxx \
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--iam-instance-profile Name=EC2-Bedrock-Access
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# 3. On the EC2 instance, enable discovery explicitly
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openclaw config set plugins.entries.amazon-bedrock.config.discovery.enabled true
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openclaw config set plugins.entries.amazon-bedrock.config.discovery.region us-east-1
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# 4. Optional: add an env marker if you want auto mode without explicit enable
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echo 'export AWS_PROFILE=default' >> ~/.bashrc
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echo 'export AWS_REGION=us-east-1' >> ~/.bashrc
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source ~/.bashrc
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# 5. Verify models are discovered
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openclaw models list
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```
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## Advanced configuration
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<AccordionGroup>
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<Accordion title="Inference profiles">
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OpenClaw discovers **regional and global inference profiles** alongside
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foundation models. When a profile maps to a known foundation model, the
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profile inherits that model's capabilities (context window, max tokens,
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reasoning, vision) and the correct Bedrock request region is injected
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automatically. This means cross-region Claude profiles work without manual
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provider overrides.
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Inference profile IDs look like `us.anthropic.claude-opus-4-6-v1:0` (regional)
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or `anthropic.claude-opus-4-6-v1:0` (global). If the backing model is already
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in the discovery results, the profile inherits its full capability set;
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otherwise safe defaults apply.
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No extra configuration is needed. As long as discovery is enabled and the IAM
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principal has `bedrock:ListInferenceProfiles`, profiles appear alongside
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foundation models in `openclaw models list`.
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</Accordion>
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<Accordion title="Claude Opus 4.7 temperature">
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Bedrock rejects the `temperature` parameter for Claude Opus 4.7. OpenClaw
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omits `temperature` automatically for any Opus 4.7 Bedrock ref, including
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foundation model ids, named inference profiles, application inference
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profiles whose underlying model resolves to Opus 4.7 via
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`bedrock:GetInferenceProfile`, and dotted `opus-4.7` variants with
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optional region prefixes (`us.`, `eu.`, `ap.`, `apac.`, `au.`, `jp.`,
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`global.`). No config knob is required, and the omission applies to both
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the request options object and the `inferenceConfig` payload field.
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</Accordion>
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<Accordion title="Guardrails">
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You can apply [Amazon Bedrock Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html)
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to all Bedrock model invocations by adding a `guardrail` object to the
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`amazon-bedrock` plugin config. Guardrails let you enforce content filtering,
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topic denial, word filters, sensitive information filters, and contextual
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grounding checks.
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```json5
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{
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plugins: {
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entries: {
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"amazon-bedrock": {
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config: {
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guardrail: {
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guardrailIdentifier: "abc123", // guardrail ID or full ARN
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guardrailVersion: "1", // version number or "DRAFT"
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streamProcessingMode: "sync", // optional: "sync" or "async"
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trace: "enabled", // optional: "enabled", "disabled", or "enabled_full"
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},
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},
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},
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},
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},
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}
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```
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| Option | Required | Description |
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| ------ | -------- | ----------- |
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| `guardrailIdentifier` | Yes | Guardrail ID (e.g. `abc123`) or full ARN (e.g. `arn:aws:bedrock:us-east-1:123456789012:guardrail/abc123`). |
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| `guardrailVersion` | Yes | Published version number, or `"DRAFT"` for the working draft. |
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| `streamProcessingMode` | No | `"sync"` or `"async"` for guardrail evaluation during streaming. If omitted, Bedrock uses its default. |
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| `trace` | No | `"enabled"` or `"enabled_full"` for debugging; omit or set `"disabled"` for production. |
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<Warning>
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The IAM principal used by the gateway must have the `bedrock:ApplyGuardrail` permission in addition to the standard invoke permissions.
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</Warning>
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</Accordion>
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<Accordion title="Embeddings for memory search">
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Bedrock can also serve as the embedding provider for
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[memory search](/concepts/memory-search). This is configured separately from the
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inference provider -- set `agents.defaults.memorySearch.provider` to `"bedrock"`:
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```json5
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{
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agents: {
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defaults: {
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memorySearch: {
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provider: "bedrock",
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model: "amazon.titan-embed-text-v2:0", // default
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},
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},
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},
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}
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```
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Bedrock embeddings use the same AWS SDK credential chain as inference (instance
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roles, SSO, access keys, shared config, and web identity). No API key is
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needed. When `provider` is `"auto"`, Bedrock is auto-detected if that
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credential chain resolves successfully.
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Supported embedding models include Amazon Titan Embed (v1, v2), Amazon Nova
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Embed, Cohere Embed (v3, v4), and TwelveLabs Marengo. See
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[Memory configuration reference -- Bedrock](/reference/memory-config#bedrock-embedding-config)
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for the full model list and dimension options.
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</Accordion>
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<Accordion title="Notes and caveats">
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- Bedrock requires **model access** enabled in your AWS account/region.
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- Automatic discovery needs the `bedrock:ListFoundationModels` and
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`bedrock:ListInferenceProfiles` permissions.
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- If you rely on auto mode, set one of the supported AWS auth env markers on the
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gateway host. If you prefer IMDS/shared-config auth without env markers, set
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`plugins.entries.amazon-bedrock.config.discovery.enabled: true`.
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- OpenClaw surfaces the credential source in this order: `AWS_BEARER_TOKEN_BEDROCK`,
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then `AWS_ACCESS_KEY_ID` + `AWS_SECRET_ACCESS_KEY`, then `AWS_PROFILE`, then the
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default AWS SDK chain.
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- Reasoning support depends on the model; check the Bedrock model card for
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current capabilities.
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- If you prefer a managed key flow, you can also place an OpenAI-compatible
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proxy in front of Bedrock and configure it as an OpenAI provider instead.
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</Accordion>
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</AccordionGroup>
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## Related
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<CardGroup cols={2}>
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<Card title="Model selection" href="/concepts/model-providers" icon="layers">
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Choosing providers, model refs, and failover behavior.
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</Card>
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<Card title="Memory search" href="/concepts/memory-search" icon="magnifying-glass">
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Bedrock embeddings for memory search configuration.
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</Card>
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<Card title="Memory config reference" href="/reference/memory-config#bedrock-embedding-config" icon="database">
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Full Bedrock embedding model list and dimension options.
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</Card>
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<Card title="Troubleshooting" href="/help/troubleshooting" icon="wrench">
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General troubleshooting and FAQ.
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</Card>
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</CardGroup>
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