AWS Bedrock

Hermes Agent supports Amazon Bedrock as a native provider using the Converse API — not the OpenAI-compatible endpoint. This gives you full access to the Bedrock ecosystem: IAM authentication, Guardrails, cross-region inference profiles, and all foundation models.

Prerequisites

• AWS credentials — any source supported by the boto3 credential chain:
  • IAM instance role (EC2, ECS, Lambda — zero config)
  • AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY environment variables
  • AWS_PROFILE for SSO or named profiles
  • aws configure for local development
• boto3 — install with pip install hermes-agent[bedrock]
• IAM permissions — at minimum:
  • bedrock:InvokeModel and bedrock:InvokeModelWithResponseStream (for inference)
  • bedrock:ListFoundationModels and bedrock:ListInferenceProfiles (for model discovery)

EC2 / ECS / Lambda

On AWS compute, attach an IAM role with AmazonBedrockFullAccess and you're done. No API keys, no .env configuration — Hermes detects the instance role automatically.

Quick Start

# Install with Bedrock support
pip install hermes-agent[bedrock]

# Select Bedrock as your provider
hermes model
# → Choose "More providers..." → "AWS Bedrock"
# → Select your region and model

# Start chatting
hermes chat

Configuration

After running hermes model, your ~/.hermes/config.yaml will contain:

model:
  default: us.anthropic.claude-sonnet-4-6
  provider: bedrock
  base_url: https://bedrock-runtime.us-east-2.amazonaws.com

bedrock:
  region: us-east-2

Region

Set the AWS region in any of these ways (highest priority first):

1. bedrock.region in config.yaml
2. AWS_REGION environment variable
3. AWS_DEFAULT_REGION environment variable
4. Default: us-east-1

Guardrails

To apply Amazon Bedrock Guardrails to all model invocations:

bedrock:
  region: us-east-2
  guardrail:
    guardrail_identifier: "abc123def456"  # From the Bedrock console
    guardrail_version: "1"                # Version number or "DRAFT"
    stream_processing_mode: "async"       # "sync" or "async"
    trace: "disabled"                     # "enabled", "disabled", or "enabled_full"

Model Discovery

Hermes auto-discovers available models via the Bedrock control plane. You can customize discovery:

bedrock:
  discovery:
    enabled: true
    provider_filter: ["anthropic", "amazon"]  # Only show these providers
    refresh_interval: 3600                     # Cache for 1 hour

Available Models

Bedrock models use inference profile IDs for on-demand invocation. The hermes model picker shows these automatically, with recommended models at the top:

Model	ID	Notes
Claude Sonnet 4.6	us.anthropic.claude-sonnet-4-6	Recommended — best balance of speed and capability
Claude Opus 4.6	us.anthropic.claude-opus-4-6-v1	Most capable
Claude Haiku 4.5	us.anthropic.claude-haiku-4-5-20251001-v1:0	Fastest Claude
Amazon Nova Pro	us.amazon.nova-pro-v1:0	Amazon's flagship
Amazon Nova Micro	us.amazon.nova-micro-v1:0	Fastest, cheapest
DeepSeek V3.2	deepseek.v3.2	Strong open model
Llama 4 Scout 17B	us.meta.llama4-scout-17b-instruct-v1:0	Meta's latest

Cross-Region Inference

Models prefixed with us. use cross-region inference profiles, which provide better capacity and automatic failover across AWS regions. Models prefixed with global. route across all available regions worldwide.

Switching Models Mid-Session

Use the /model command during a conversation:

/model us.amazon.nova-pro-v1:0
/model deepseek.v3.2
/model us.anthropic.claude-opus-4-6-v1

Diagnostics

hermes doctor

The doctor checks:

• Whether AWS credentials are available (env vars, IAM role, SSO)
• Whether boto3 is installed
• Whether the Bedrock API is reachable (ListFoundationModels)
• Number of available models in your region

Gateway (Messaging Platforms)

Bedrock works with all Hermes gateway platforms (Telegram, Discord, Slack, Feishu, etc.). Configure Bedrock as your provider, then start the gateway normally:

hermes gateway setup
hermes gateway start

The gateway reads config.yaml and uses the same Bedrock provider configuration.

Troubleshooting

"No API key found" / "No AWS credentials"

Hermes checks for credentials in this order:

1. AWS_BEARER_TOKEN_BEDROCK
2. AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY
3. AWS_PROFILE
4. EC2 instance metadata (IMDS)
5. ECS container credentials
6. Lambda execution role

If none are found, run aws configure or attach an IAM role to your compute instance.

"Invocation of model ID ... with on-demand throughput isn't supported"

Use an inference profile ID (prefixed with us. or global.) instead of the bare foundation model ID. For example:

• ❌ anthropic.claude-sonnet-4-6
• ✅ us.anthropic.claude-sonnet-4-6

"ThrottlingException"

You've hit the Bedrock per-model rate limit. Hermes automatically retries with backoff. To increase limits, request a quota increase in the AWS Service Quotas console.