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Vivian Fang 70b3bb6d88 Add observation-only model request lifecycle hooks (#55144 )

## What changed

- Add `PreModelRequest` and `PostModelRequest` hooks around model request attempts, including retries. Pass model, session, turn, and optional subagent context; report completion, failure, or cancellation with errors and token usage when available.
- Treat hook output as diagnostic data without allowing it to veto requests or alter model context. Wait for synchronous post-request hooks before dispatching tools, while asynchronous hooks allow streaming tool dispatch to continue.
- Apply memory-consolidation hook filtering and expose the new events through configuration, protocol schemas, generated clients, and the hooks browser.

## Testing

Add integration coverage for failures and retries, ignored control directives, cancellation, synchronous and asynchronous tool ordering, interrupted-turn resume and token accounting, and memory-consolidation filtering. Update hook schema fixtures and hooks browser snapshots.

GitOrigin-RevId: 6ed7b39fc8bb94cf467e350d07d97fcc729c21ce

2026-10-18 22:43:56 +00:00

docs

Normalize formatting in docs, web assets, and sample scripts (#52256 )

2026-10-08 20:11:43 +00:00

examples

Embed friendly instructions in bundled GPT-5.4 and GPT-5.5 (#44930 )

2026-09-11 22:29:54 +00:00

notebooks

Embed friendly instructions in bundled GPT-5.4 and GPT-5.5 (#44930 )

2026-09-11 22:29:54 +00:00

scripts

Store generated image items as attachment references (#54398 )

2026-10-15 19:51:22 +00:00

src/openai_codex

Add observation-only model request lifecycle hooks (#55144 )

2026-10-18 22:43:56 +00:00

tests

Store generated image items as attachment references (#54398 )

2026-10-15 19:51:22 +00:00

_runtime_setup.py

Support alpha hotfix release versions (#34463 )

2026-07-21 03:59:38 +00:00

BUILD.bazel

Add Bazel targets for on-demand schemas and Python SDK generation (#54096 )

2026-10-14 20:59:31 +00:00

pyproject.toml

Expose Python SDK history selection and per-turn options (#44084 )

2026-09-09 06:40:56 +00:00

README.md

Add untrusted external messages to the Python SDK (#44086 )

2026-09-09 06:54:18 +00:00

release_version.py

Build Python SDK artifacts before publishing the runtime (#44061 )

2026-09-09 05:14:27 +00:00

RELEASING.md

Publish Python packages after stable CLI releases (#44067 )

2026-09-09 05:39:52 +00:00

uv.lock

Expose Python SDK history selection and per-turn options (#44084 )

2026-09-09 06:40:56 +00:00

README.md

OpenAI Codex Python SDK

Build Python applications that start Codex threads, run turns, stream progress, and control workspace access.

Install

Install the SDK:

pip install openai-codex

Quickstart

The SDK reuses your existing Codex authentication when one is already available:

from openai_codex import Codex

with Codex() as codex:
    thread = codex.thread_start()
    result = thread.run("Explain this repository in three bullets.")
    print(result.final_response)

thread.run(...) returns a TurnResult containing the final response, collected items, and token usage.

Authentication

Existing Codex authentication is reused automatically. To start ChatGPT browser login explicitly:

from openai_codex import Codex

with Codex() as codex:
    login = codex.login_chatgpt()
    print(login.auth_url)
    print(login.wait().success)

For device-code login:

with Codex() as codex:
    login = codex.login_chatgpt_device_code()
    print(login.verification_url, login.user_code)
    login.wait()

For API-key login:

with Codex() as codex:
    codex.login_api_key("sk-...")

Built-In Help

Use Python's standard help(openai_codex), help(Codex), or python -m pydoc openai_codex documentation tools.

Documentation

The package is licensed under the repository Apache License 2.0.