mirror of https://github.com/openai/codex.git synced 2026-10-29 19:08:43 +00:00

Files

T

Abhinav 154e8736a5 Support managed OpenTelemetry metadata and PEM client identities (#57658 )

## Why

Managed OpenTelemetry requirements could not specify span attributes or tracestate metadata.

## What changed

- Accept `otel.span_attributes` and `otel.tracestate` in requirements, merge them by attribute or member field, and expose them through app-server configuration and requirements reads.
- Protect required entries and their ancestors from configuration writes while preserving unmanaged sibling values and their origins. For example, requiring `otel.tracestate.vendor.tenant` leaves `vendor.region` writable. Empty metadata maps impose no requirements.
- Select Rustls when configuring an OTLP HTTP client certificate and private key so PEM client identities are accepted.

## Testing

Add coverage for metadata precedence, effective configuration, field-level write protection, and preservation of unmanaged values. Add blocking and asynchronous HTTP client construction tests using generated PEM certificates and keys.

GitOrigin-RevId: ada6000cc5e575b9a33451ec4aa58b6686dc20f7

2026-10-28 06:24:24 +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

Expose lifecycle timestamps on app-server thread items (#57172 )

2026-10-26 18:13:00 +00:00

src/openai_codex

Support managed OpenTelemetry metadata and PEM client identities (#57658 )

2026-10-28 06:24:24 +00:00

tests

Expose lifecycle timestamps on app-server thread items (#57172 )

2026-10-26 18:13:00 +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

Upgrade Python SDK model generation to datamodel-code-generator 0.64.0 (#56272 )

2026-10-22 21:40:58 +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

Upgrade Python SDK model generation to datamodel-code-generator 0.64.0 (#56272 )

2026-10-22 21:40:58 +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.