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
Project details
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