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CLI for running cited AI agents — one command, reproducible results

Project description

cited

Python CLI for running science-backed AI agents. Discover peer-reviewed agents and run them with a single command.

Installation

pip install cited

Quick Start

# Find an agent
cited search "failure mode analysis"

# See what it expects
cited info dfmea-agent

# Run it
cited run dfmea-agent --input input.json

# Validate input before running
cited validate dfmea-agent --input input.json

Commands

Command Description
cited run <agent> Run an agent with JSON input
cited search <query> Search the agent catalog
cited info <agent> Show agent details and schema
cited validate <agent> Validate input without running
cited cache list List cached agents
cited cache clear Clear the local cache
cited config show Show current configuration
cited config set <key> <value> Update a config value
cited version Show CLI version

Agent references

Agents can be referenced by slug or with a pinned version:

cited run dfmea-agent              # latest
cited run dfmea-agent@1.0.0       # pinned version

Input / output

Input is read from a file (--input) or stdin:

cited run dfmea-agent --input input.json
cat input.json | cited run dfmea-agent

Output is JSON written to stdout, making it easy to pipe:

cited run dfmea-agent --input input.json | jq '.results'

Configuration

Env var Default Description
CITED_API_URL https://citedagents.com Platform API base URL
CITED_CACHE_DIR OS cache dir Where agent blueprints are cached

Or use cited config set:

cited config set api-url https://citedagents.com
cited config set cache-dir /tmp/cited-cache

License

MIT

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