agentjoy-bridge 0.3.36
AgentJoy Bridge CLI (Codex / Claude Code / Agent tool activity -> AgentJoy Runs)
License: MIT
Requires Python: >=3.9
Keywords: ai, agent, observability, ux, codex, claude, mcp

# 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

```bash
pipx install agentjoy-bridge
# or: pip install agentjoy-bridge
```
> Windows (PATH): if `agentjoy` command is not found, run via module:
>
> ```bat
> 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:

```bash
agentjoy doctor
```

It prints:

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

Optional (creates a small run):

```bash
agentjoy doctor --write-test
```

Secrets are redacted in the output.


---

## Profiles (multiple environments)

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

```bash
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:

```bash
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

```bash
agentjoy quickstart --api http://127.0.0.1:8000 --open
```

Windows (PATH):

```bat
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

```bash
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`.

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

### 3) Create a demo run + open the share URL

```bash
agentjoy demo --open
```

---

## Codex (recommended)

```bash
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:

```bash
agentjoy adapters --init
agentjoy adapters
```

2) 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