open-agent-spec 1.0.10

YAML-first agent specs: run with `oas run` or generate a full Python project with `oas init`.

Open Agent Spec CLI

Define agents in YAML. Run them with one command—or generate a full Python project.

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Install

pip install open-agent-spec
# or (isolated CLI)
pipx install open-agent-spec

Command: oas

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Use it in 60 seconds

1. Run a spec (no code generation)

Spec lives in YAML; the CLI calls your configured model and prints JSON.

oas init aac
# Creates .agents/example.yaml — edit it, then:

export OPENAI_API_KEY=...   # or ANTHROPIC_API_KEY, etc.

oas run --spec .agents/example.yaml --task greet --input '{"name": "Ada"}' --quiet

2. Generate a full project

Scaffolds agent.py, prompts, requirements.txt, etc.

oas init --spec path/to/spec.yaml --output ./my-agent
cd my-agent
cp .env.example .env   # add API keys
pip install -r requirements.txt
python agent.py

Use a bundled template:

oas init --template minimal --output ./my-agent

3. Refresh generated code after spec changes

oas update --spec path/to/spec.yaml --output ./my-agent

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Commands

Command	What it does
oas init aac	Create .agents/ with example.yaml only
oas init --spec … --output …	Generate full agent project
oas init --template minimal --output …	Same, using built-in minimal spec
oas run --spec … [--task …] [--input '{"k":"v"}'] [--quiet]	Run one task from YAML
oas update --spec … --output …	Regenerate into existing folder
oas init … --dry-run	Validate + show what would be written

oas --help
oas run --help

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Spec at a glance

YAML describes the agent, model, and tasks. Minimal shape:

open_agent_spec: "1.0.9"

agent:
  name: "hello-agent"
  description: "Says hello"

intelligence:
  engine: "openai"
  endpoint: "https://api.openai.com/v1"
  model: "gpt-4"

tasks:
  greet:
    description: "Greet by name"
    input:
      type: "object"
      properties:
        name: { type: "string" }
      required: ["name"]
    output:
      type: "object"
      properties:
        response: { type: "string" }
      required: ["response"]

Engines: openai, anthropic, grok, cortex, local, custom — full tables and examples in the repo: docs/REFERENCE.md.

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More detail

Doc	Contents
docs/REFERENCE.md	Full spec shape, engines, generated layout, templates
Repo	Source, issues, CI

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License

MIT — see LICENSE.

Open Agent Stack