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Autonomous Agent CLIs

Run autonomous agent CLIs against Amazon Bedrock models with stdapi.ai, using the same provider configuration you would point at OpenAI or Anthropic directly—only the base URL changes.

About Autonomous Agent CLIs

Unlike IDE coding assistants, autonomous agent CLIs plan and execute multi-step tasks on their own—reading files, calling tools, and iterating toward a goal without a human approving each step. They typically run on infrastructure you control (a server, a container, a scheduled job) rather than inside an editor.

What you can build:

  • Personal assistants - Agents that read, search, and act on your behalf from the command line
  • Autonomous research and task loops - Multi-turn tool-calling sessions that run unattended
  • Self-hosted agent backends - CLIs wired into cron jobs, CI pipelines, or your own orchestration

Why Autonomous Agent CLIs + stdapi.ai?

  • No Vendor Lock-In
    Point the CLI's existing OpenAI- or Anthropic-compatible provider settings at stdapi.ai—no fork, no plugin, no custom integration.

  • Access Amazon Bedrock Models
    Claude, Nova, DeepSeek, Qwen, and 100+ models, driven through the same agent loop your CLI already runs.

  • Data Stays in Your AWS Account
    Every tool call and model response is processed inside your own Bedrock deployment, never shared with a third-party AI cloud.

  • Pay-Per-Use Pricing
    No per-seat or per-agent licensing. Pay only Amazon Bedrock rates for the calls the agent actually makes.

%%{init: {'flowchart': {'htmlLabels': true}} }%%
flowchart LR
  agent["Autonomous Agent CLI\n(Hermes, OpenClaw)"] --> stdapi["<img src='../styles/logo.svg' style='height:64px;width:auto;vertical-align:middle;' /> stdapi.ai"]
  stdapi --> bedrock["<img src='../styles/logo_amazon_bedrock.svg' style='height:64px;width:auto;vertical-align:middle;' /> Amazon Bedrock"]

Prerequisites

What You'll Need

  • ✓ stdapi.ai deployed - See deployment guide or run locally with Docker
  • ✓ Your stdapi.ai URL - e.g., https://api.example.com or http://localhost:8000 for local
  • ✓ Your API key - From Terraform output or configuration (optional for local development)

Hermes

Hermes (PyPI package hermes-agent) is an autonomous agent CLI written in Python.

Configuration

The simplest setup points Hermes at stdapi.ai through the same environment variables an OpenAI-compatible client would use:

export OPENAI_API_KEY=YOUR_STDAPI_KEY
export OPENAI_BASE_URL=https://YOUR_STDAPI_URL/v1

To select a specific wire format or model, declare a provider in Hermes' config.yaml instead:

providers:
  stdapi:
    name: stdapi.ai
    api: https://YOUR_STDAPI_URL/v1
    key_env: STDAPI_API_KEY
    transport: chat_completions
    default_model: anthropic.claude-fable-5

model:
  provider: stdapi
  model: anthropic.claude-fable-5

key_env names the environment variable Hermes reads the API key from—set STDAPI_API_KEY (or whatever name you choose) to your stdapi.ai key.

Transport Selection

transport is the standout setting: it picks which of stdapi.ai's three chat dialects the provider speaks, and api has to match the route serving it:

transport api base URL API
chat_completions https://YOUR_STDAPI_URL/v1 Chat Completions
codex_responses https://YOUR_STDAPI_URL/v1 Responses
anthropic_messages https://YOUR_STDAPI_URL/anthropic Anthropic Messages

Declare more than one entry under providers to reach more than one route side by side.

Anthropic Prompt-Caching Breakpoints

On the anthropic_messages transport, Hermes automatically places prompt-caching breakpoints on the system prompt and recent messages when the target model is Claude-named. Choose the cache lifetime with prompt_caching.cache_ttl:

prompt_caching:
  cache_ttl: 1h  # or "5m" (the default)

Only 5m and 1h are accepted—any other value is ignored. This pairs directly with stdapi.ai's own Anthropic Messages prompt-caching support: Hermes' breakpoints arrive as standard cache_control markers, which stdapi.ai translates into Bedrock cache points, up to the four the Converse API allows per request.

OpenClaw

OpenClaw doubles as a personal-assistant CLI and a coding agent. Its stdapi.ai configuration—onboarding wizard, the --custom-compatibility wire-format switch, and model selection—is documented once, in the AI Coding Assistants guide, and applies the same way whether OpenClaw is driving a coding task or a general assistant task.

Next Steps