Vendor OpenClaw source as Adolf fork baseline
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Adolf is a fork/vendored clone of github.com/openclaw/openclaw (v2026.6.11), free to diverge. Tree copied sans upstream .git; upstream remote added for future syncs. Node pinned to 24 (.nvmrc); engines already require >=22.19. Preserves docs/ARCHITECTURE.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
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452
docs/providers/bedrock.md
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452
docs/providers/bedrock.md
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@@ -0,0 +1,452 @@
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---
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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 its **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="EXAMPLE_AWS_ACCESS_KEY_ID"
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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 with no known token limits (override if you know your model limits). |
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| `defaultMaxTokens` | `4096` | Max output tokens used for discovered models with no known token limits (override if you know your model limits). |
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</Accordion>
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<Accordion title="Context window and max-token limits">
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The Bedrock `ListFoundationModels` and `GetFoundationModel` APIs return no
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token-limit metadata, only model ID, name, modalities, and lifecycle
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status. OpenClaw ships a lookup table of known context windows and output
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limits for popular Bedrock models (Claude, Nova, Llama, Mistral, DeepSeek,
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and others) so session management, compaction thresholds, and
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context-overflow detection work correctly for those models.
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Discovered models not in the table fall back to `defaultContextWindow`
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and `defaultMaxTokens`. If a model you use is missing accurate limits,
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override it with an explicit
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`models.providers["amazon-bedrock"].models` entry.
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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. Global cross-region profiles (`global.*`) are listed
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first in `openclaw models list` since they generally offer better capacity
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and automatic failover.
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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="Service tier">
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Some Bedrock models support a `service_tier` parameter to optimize for cost
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or latency. The following tiers are available:
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| Tier | Description |
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|------|-------------|
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| `default` | Standard Bedrock tier |
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| `flex` | Discounted processing for workloads that can tolerate longer latency |
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| `priority` | Prioritized processing for latency-sensitive workloads |
|
||||
| `reserved` | Reserved capacity for steady-state workloads |
|
||||
|
||||
Set `serviceTier` (or `service_tier`) via `agents.defaults.params` for
|
||||
Bedrock model requests, or per-model in
|
||||
`agents.defaults.models["<model-key>"].params`:
|
||||
|
||||
```json5
|
||||
{
|
||||
agents: {
|
||||
defaults: {
|
||||
params: {
|
||||
serviceTier: "flex", // applies to all models
|
||||
},
|
||||
models: {
|
||||
"amazon-bedrock/mistral.mistral-large-3-675b-instruct": {
|
||||
params: {
|
||||
serviceTier: "priority", // per-model override
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
```
|
||||
|
||||
Valid values are `default`, `flex`, `priority`, and `reserved`. Claude
|
||||
Fable 5 only supports the `default` tier; OpenClaw warns and ignores
|
||||
`flex`, `priority`, or `reserved` requested for that model. For other
|
||||
models, not every model supports every tier -- an unsupported tier
|
||||
returns a Bedrock validation error, and the error message can be
|
||||
misleading (for example "The provided model identifier is invalid"
|
||||
rather than naming the tier as the problem). If you see this error, check
|
||||
whether the model supports the requested tier.
|
||||
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Claude Opus 4.7 and 4.8 temperature">
|
||||
Bedrock rejects the `temperature` parameter for Claude Opus 4.7 and Opus
|
||||
4.8. OpenClaw omits `temperature` automatically for any matching Bedrock
|
||||
ref, including foundation model ids, named inference profiles, application
|
||||
inference profiles whose underlying model resolves to Opus 4.7/4.8 via
|
||||
`bedrock:GetInferenceProfile`, and dotted `opus-4.7`/`opus-4.8` variants
|
||||
with optional region prefixes (`us.`, `eu.`, `ap.`, `apac.`, `au.`, `jp.`,
|
||||
`global.`). No config knob is required, and the omission applies to both
|
||||
the request options object and the `inferenceConfig` payload field.
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Claude Fable 5">
|
||||
Use `amazon-bedrock/anthropic.claude-fable-5` in `us-east-1`, or the
|
||||
regional inference ids such as `us.anthropic.claude-fable-5`.
|
||||
OpenClaw applies Fable's 1M context window, 128K output limit, always-on
|
||||
adaptive thinking, and supported effort mapping. `/think off` and
|
||||
`/think minimal` map to `low`; temperature and forced tool choice controls
|
||||
are omitted, matching the Opus 4.7/4.8 route. Streaming output is held
|
||||
until Bedrock returns a terminal status so mid-stream refusals do not
|
||||
expose partial text.
|
||||
|
||||
AWS requires an explicit `provider_data_share` data-retention opt-in before
|
||||
Fable is available. Prompts and completions are shared with Anthropic and
|
||||
retained for up to 30 days for trust and safety. Review and configure
|
||||
[Bedrock data retention](https://docs.aws.amazon.com/bedrock/latest/userguide/data-retention.html)
|
||||
before enabling the model.
|
||||
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Guardrails">
|
||||
You can apply [Amazon Bedrock Guardrails](https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html)
|
||||
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.
|
||||
|
||||
```json5
|
||||
{
|
||||
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` and `guardrailVersion` are required.
|
||||
|
||||
| Option | Description |
|
||||
| ------ | ----------- |
|
||||
| `guardrailIdentifier` | Guardrail ID (e.g. `abc123`) or full ARN (e.g. `arn:aws:bedrock:us-east-1:123456789012:guardrail/abc123`). |
|
||||
| `guardrailVersion` | Published version number, or `"DRAFT"` for the working draft. |
|
||||
| `streamProcessingMode` | `"sync"` or `"async"` for guardrail evaluation during streaming. If omitted, Bedrock uses its default. |
|
||||
| `trace` | `"enabled"` or `"enabled_full"` for debugging; omit or set `"disabled"` for production. |
|
||||
|
||||
<Warning>
|
||||
The IAM principal used by the gateway must have the `bedrock:ApplyGuardrail` permission in addition to the standard invoke permissions.
|
||||
</Warning>
|
||||
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Embeddings for memory search">
|
||||
Bedrock can also serve as the embedding provider for
|
||||
[memory search](/concepts/memory-search). This is configured separately from the
|
||||
inference provider -- set `agents.defaults.memorySearch.provider` to `"bedrock"`:
|
||||
|
||||
```json5
|
||||
{
|
||||
agents: {
|
||||
defaults: {
|
||||
memorySearch: {
|
||||
provider: "bedrock",
|
||||
model: "amazon.titan-embed-text-v2:0", // default
|
||||
},
|
||||
},
|
||||
},
|
||||
}
|
||||
```
|
||||
|
||||
Bedrock embeddings use the same AWS SDK credential chain as inference (instance
|
||||
roles, SSO, access keys, shared config, and web identity). No API key is
|
||||
needed.
|
||||
|
||||
Supported embedding models include Amazon Titan Embed (v1, v2), Amazon Nova
|
||||
Embed, Cohere Embed (v3, v4), and TwelveLabs Marengo. See
|
||||
[Memory configuration reference -- Bedrock](/reference/memory-config#bedrock-embedding-config)
|
||||
for the full model list and dimension options.
|
||||
|
||||
</Accordion>
|
||||
|
||||
<Accordion title="Notes and caveats">
|
||||
- Bedrock requires **model access** enabled in your AWS account/region.
|
||||
- Automatic discovery needs the `bedrock:ListFoundationModels` and
|
||||
`bedrock:ListInferenceProfiles` permissions.
|
||||
- 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
|
||||
`plugins.entries.amazon-bedrock.config.discovery.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.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
## Related
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Model selection" href="/concepts/model-providers" icon="layers">
|
||||
Choosing providers, model refs, and failover behavior.
|
||||
</Card>
|
||||
<Card title="Memory search" href="/concepts/memory-search" icon="magnifying-glass">
|
||||
Bedrock embeddings for memory search configuration.
|
||||
</Card>
|
||||
<Card title="Memory config reference" href="/reference/memory-config#bedrock-embedding-config" icon="database">
|
||||
Full Bedrock embedding model list and dimension options.
|
||||
</Card>
|
||||
<Card title="Troubleshooting" href="/help/troubleshooting" icon="wrench">
|
||||
General troubleshooting and FAQ.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
Reference in New Issue
Block a user