Skip to main content

Gemini-first and OpenAI provider helpers for Codex

Project description

codex-ai

PyPI version Python CI License

Gemini-first and OpenAI provider helpers for the Codex ecosystem. The library keeps the legacy prompt router for text generation, and exposes direct provider methods for practical Gemini workflows.

Install

pip install codex-ai
pip install "codex-ai[gemini]"
pip install "codex-ai[openai]"
pip install "codex-ai[openai,gemini]"

Requires Python 3.12 or newer.

Gemini Direct API

from pydantic import BaseModel

from codex_ai import GeminiProvider


class LootItem(BaseModel):
    name: str
    power: int


gemini = GeminiProvider(api_key="AIza...")

text = await gemini.generate_text("Write one short tavern rumor.")
loot = await gemini.generate_json("Create one loot item.", schema=LootItem)
image_bytes, content_type = await gemini.generate_image_bytes(
    "A fantasy clan banner, game icon style.",
    model="gemini-2.5-flash-image",
    response_mime_type="image/webp",
)

imagen_bytes, imagen_content_type = await gemini.generate_imagen_bytes(
    "A fantasy clan banner, game icon style.",
    response_mime_type="image/jpeg",
)

answer(prompt) remains available as a compatibility wrapper for text generation.

generate_image_bytes() targets Gemini image models through generate_content and treats response_mime_type as a preferred/fallback MIME type. It does not pass image MIME values to Gemini's text response_mime_type config field. Use generate_imagen_bytes() for Imagen models; that path uses generate_images and passes the requested MIME as output_mime_type.

Router Pipeline

from codex_ai import GeminiProvider, LLMDispatcher, LLMMessage, LLMRouter, PromptResult

router = LLMRouter()


@router.prompt("chat")
async def build_chat(text: str, **kw) -> PromptResult:
    return PromptResult(
        messages=[LLMMessage(role="user", content=text)],
        system="You are a helpful assistant.",
    )


dispatcher = LLMDispatcher(provider=GeminiProvider(api_key="AIza..."))
dispatcher.include_router(router)

response = await dispatcher.process("chat", text="Hello!")

Modules

Module Extra Description
codex_ai.core - Dispatcher, router, protocol types, sync wrapper, and shared exception contract
codex_ai.providers.gemini [gemini] Google Gemini text, JSON, Gemini image, and Imagen generation via pinned google-genai
codex_ai.providers.openai [openai] OpenAI Chat Completions text provider

Development

uv sync --extra dev
uv run pytest
uv run mypy src/
uv run pre-commit run --all-files
uv build --no-sources

Documentation

Full docs with architecture, API reference, and data flow diagrams:

codexdlc.github.io/codex-ai

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

codex_ai-0.2.2.tar.gz (131.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

codex_ai-0.2.2-py3-none-any.whl (18.9 kB view details)

Uploaded Python 3

File details

Details for the file codex_ai-0.2.2.tar.gz.

File metadata

  • Download URL: codex_ai-0.2.2.tar.gz
  • Upload date:
  • Size: 131.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for codex_ai-0.2.2.tar.gz
Algorithm Hash digest
SHA256 047194a08d24695864b7663290bfe8ee2fa3cb8967d1d274fe6821f886264d83
MD5 2fd1772e18f02f4b17345913609dd321
BLAKE2b-256 a2cfeb2bc72e4c4ae2b56adb9196c895800062610a495845fcc05b2e13cf978d

See more details on using hashes here.

Provenance

The following attestation bundles were made for codex_ai-0.2.2.tar.gz:

Publisher: publish.yml on CodexDLC/codex-ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file codex_ai-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: codex_ai-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 18.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for codex_ai-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6da79b84fabd80a852c25a5fa28d0e67fbb1bdbda647f497cfe71b059d2b920f
MD5 1ab5c517b54f420c68129faf72a74018
BLAKE2b-256 316065f66acfc971c5af0658f8fb8a66d0551608345c6f427feb35bb5686bf64

See more details on using hashes here.

Provenance

The following attestation bundles were made for codex_ai-0.2.2-py3-none-any.whl:

Publisher: publish.yml on CodexDLC/codex-ai

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page