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0.3.36

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agentjoy-bridge

AgentJoy Bridge CLI (Codex / Claude Code / Agent tool activity -> AgentJoy Runs)

agentaiclaudecodexmcpobservabilityux
Published14 Jan 2026
Direct dependencies0
Transitive dependenciesNot calculated

README

Version 0.3.36 documentation

agentjoy-bridge

AgentJoy Bridge is a tiny, dependency-free CLI that converts agent/tool activity into AgentJoy Run events.

It supports:

  • OpenAI Codex CLI (codex exec --json)
  • Claude Code hooks / plugin hooks
  • (Template included) ChatGPT Apps SDK viewer (MCP)

Install

pipx install agentjoy-bridge
# or: pip install agentjoy-bridge

Windows (PATH): if agentjoy command is not found, run via module:

python -m agentjoy_bridge init --api http://127.0.0.1:8000 --open

補足:python が見つからない場合は py -m agentjoy_bridge ... を試してください。


Doctor (diagnostics)

If setup is confusing (PATH, backend, config), run:

agentjoy doctor

It prints:

  • backend reachability (/health)
  • config/profile status
  • whether your API key / user token work

Optional (creates a small run):

agentjoy doctor --write-test

Secrets are redacted in the output.


Profiles (multiple environments)

You can keep multiple connection settings (local/staging/prod) and switch:

agentjoy profile set local --api http://127.0.0.1:8000 --use
agentjoy profile set staging --api https://staging.example.com --api-key ... --user-token ...

agentjoy profile list
agentjoy profile use staging
agentjoy profile show staging

For one-off commands without switching the current profile:

agentjoy demo --profile local --open
agentjoy health --profile staging

3-minute Quickstart (no Codex required)

Fastest: one command onboarding

If you're running from the AgentJoy repo (so ./backend exists), this command can:

  • start backend (if needed)
  • create a workspace + save config
  • create a demo run + open the share URL
agentjoy quickstart --api http://127.0.0.1:8000 --open

Windows (PATH):

python -m agentjoy_bridge quickstart --api http://127.0.0.1:8000 --open

補足:python が見つからない場合は py -m agentjoy_bridge ... を試してください。

1) Start AgentJoy backend

cd backend
python -m uvicorn agentjoy.main:app --reload --port 8000

2) Bootstrap a Workspace + save config

This creates a workspace and stores config at ~/.agentjoy/config.json.

agentjoy init --api http://127.0.0.1:8000 --open
# (alias: --api-base)

3) Create a demo run + open the share URL

agentjoy demo --open

agentjoy codex-run "Fix failing tests"

It will print a share URL you can open in a browser.


Claude Code

See integrations/claude-plugin/agentjoy/ for hook configs and examples.


Compatibility: upstream JSON changes

LLM tools evolve quickly. If a new Claude/Codex version changes the JSON field names that the Bridge reads, you can adjust the extraction paths without waiting for a package release.

  1. Create a template overrides file:
agentjoy adapters --init
agentjoy adapters
  1. Edit the file shown (typically ~/.agentjoy/bridge_adapters.json) and add new dot-paths.

This feature is intentionally lightweight: unknown fields are ignored, and the Bridge keeps running.


License

MIT

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