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pycodex

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pycodex brings the Codex agent loop to Python, with a CLI, reusable Agent API and browser workspace. It aims to follow upstream behavior; supported features and deliberate differences are documented in Alignment.

Package Provides Python
python-codex Agent, runtime, CLI, tools, Responses compatibility server and portable storage 3.6.2+
pycodex-ws Browser workspace, Canvas, file/diff viewers and optional Feishu integration 3.7+

The workspace package installs the matching core version. Python imports use pycodex; the commands are pycodex and pycodex-ws.

Install and run

Install the core CLI:

python3 -m pip install python-codex
pycodex

Or install the browser workspace, which includes core:

python3 -m pip install pycodex-ws
pycodex-ws --help

Use python3 -m pip install --upgrade pycodex-ws to upgrade both packages together. If a command is missing from PATH, use python3 -m pycodex or python3 -m workspace_server with the interpreter used for installation.

Model configuration

pycodex reads ~/.codex/config.toml and the adjacent .env. Configure model, model_provider, and the provider's base_url and env_key as needed. The built-in openai provider uses OPENAI_API_KEY. Authentication uses API keys; ChatGPT sign-in credentials from auth.json or the OS keychain are not loaded.

pycodex --profile my_profile "Summarize this repository."
pycodex --config /path/to/config.toml
pycodex doctor

Models use the streaming Responses API. For a Chat Completions backend, set use_chat_completion = true in its provider table. Other backend options include:

pycodex --vllm-endpoint http://127.0.0.1:18000
pycodex --profile my_profile --use-messages

See context and configuration and the Responses compatibility server.

CLI

Run pycodex without a prompt for an interactive session, or supply a prompt for a single turn:

pycodex "Summarize this repository in one sentence."
printf 'Reply with exactly OK.' | pycodex
pycodex --json "Reply with exactly OK."
Command Purpose
/model, /effort Show or change the model and reasoning effort
/cd <directory> Change the session's working directory while idle
/title, /history Manage the title and inspect conversation history
/resume List saved sessions; pass an index or session UUID to resume
/compact Summarize history to free context
/fork Continue the current history under a new session ID
/queue <message> Wait for the active turn to finish before submitting

Ordinary input during a turn steers at the next safe sampling boundary. Sessions are saved under CODEX_HOME/sessions. Set model_auto_compact_token_limit in the configuration to compact automatically.

Ctrl+D or Ctrl+C closes the CLI after accepted work finishes. A second Ctrl+C during closing exits immediately. Use pycodex --help for startup options.

Browser workspace

Create workspaces.json:

{
  "workspaces": [
    {"id": "demo", "work_dir": ".", "state_path": "demo", "enable_board": true}
  ]
}
pycodex-ws --listen 127.0.0.1:6007 --workspace-config workspaces.json

Open http://127.0.0.1:6007. The workspace combines conversations with a live HTML Canvas and read-only file/diff viewers. Click file links in replies to open them, and use Insert into chat to add selected code to an editable draft. Keep the server's stdin open: EOF initiates shutdown. The gear button starts an Agent conversation for customizing the interface through files in ~/.pycodex/frontend/.

See the workspace guide for session controls, storage and Feishu setup. The separately distributed VS Code extension uses the same workspace backend, including on Remote SSH hosts.

Python API

Use the standard model and tool setup from Python:

from pycodex.bootstrap import build_agent, build_model

agent = build_agent(build_model())
try:
    result = agent.ask("Summarize this repository in one sentence.")
    print(result.output_text)
finally:
    agent.shutdown()

For custom integrations, Agent accepts a model client, ToolRegistry and ContextConfig. await agent.run_turn([...]) runs an asynchronous turn; AgentRuntime adds input queues, commands and frontend subscriptions. See runtime contracts and examples.

Portable configuration

Portable mode transfers an encrypted bundle of your configuration, instructions and skills to another machine. Start a storage service in a separate terminal:

python3 -m pycodex.portable.server --root .tmp/pycodex_storage --host 127.0.0.1 --port 5577

Upload the default Codex home, or specify another directory:

pycodex --put @127.0.0.1:5577
pycodex --put /path/to/.codex/@127.0.0.1:5577

After verifying a download round trip, the command prints a reusable pycodex --call ... command. Run it on the target machine using a storage address reachable from that machine.

Development and reference

uv sync --dev
uv run pycodex
uv run --dev pytest

Release notes and implementation details live in docs/.

Metadata

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