freesolo-agent 0.1.10

Thin CLI for queuing Freesolo backend training jobs.

Freesolo Agent CLI

Thin interactive command-line client for queuing Freesolo backend training jobs.

The public package does not contain the Codex/GitHub/training worker. It only:

• prompts for setup input
• verifies a Freesolo API key
• uploads a local dataset file or folder when one is provided
• enqueues /api/training/jobs
• polls /api/training/jobs/{job_id} until the backend worker finishes

The private worker implementation lives under backend/src/training_agent.

Install

pip install freesolo-agent

This installs the freesolo command.

Setup

Run:

freesolo setup

The CLI prompts for:

• Freesolo API key
• operation: draft, edit, optimize, training, or poll
• source repository URL for draft
• the latest stored organization job to continue for edit, optimize, and training
• optional branch, dataset file or folder path, and backend-worker environment variables for draft

For private repositories, install the Freesolo GitHub App when prompted:

https://github.com/apps/freesolo-agent/installations/new

The CLI prints progress while the backend job is queued and running. When the job finishes, it prints a short summary with the job id, repo, commit, and changed files when available. Full job details and richer summaries live in the Freesolo platform at https://freesolo.co.

Operations

draft creates the initial Freesolo training contract from a source repo. It returns a targetRepoUrl for the generated training repo.

edit revises the latest job in a draft chain. The CLI lists eligible organization jobs by stage, repo, and prompt.

optimize generates and checks repo-level training files for the latest job in a draft chain.

training runs the long training workflow for the latest job in a draft chain after that chain has at least one successful optimize job.

poll lists recent organization jobs and watches the selected job until it finishes. It does not enqueue new work.