Metadata-Version: 2.4
Name: llm-gemini-code-assist
Version: 0.28.2
Summary: LLM plugin to access Google's Gemini via Code Assist API with OAuth
Project-URL: Homepage, https://github.com/lokkju/llm-gemini-code-assist
Project-URL: Issues, https://github.com/lokkju/llm-gemini-code-assist/issues
Author: Loki Coyote, Simon Willison
License-Expression: Apache-2.0
License-File: LICENSE
Requires-Python: >=3.10
Requires-Dist: google-auth-oauthlib>=1.2.2
Requires-Dist: google-auth>=2.43.0
Requires-Dist: httpx>=0.28.1
Requires-Dist: ijson>=3.4.0.post0
Requires-Dist: llm>=0.28
Requires-Dist: pyjwt>=2.10.1
Requires-Dist: requests>=2.32.5
Description-Content-Type: text/markdown

# llm-gemini-code-assist

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[![Changelog](https://img.shields.io/github/v/release/lokkju/llm-gemini-code-assist?include_prereleases&label=changelog)](https://github.com/lokkju/llm-gemini-code-assist/releases)
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[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/lokkju/llm-gemini-code-assist/blob/main/LICENSE)

API access to Google's Gemini models via the Code Assist API with OAuth authentication.

This is a fork of [llm-gemini](https://github.com/simonw/llm-gemini) modified to use Google's Code Assist API, which requires OAuth authentication instead of API keys.

## Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/):

```bash
llm install llm-gemini-code-assist
```

## Authentication

Unlike the standard llm-gemini plugin, this version uses OAuth authentication with the Code Assist API. Authentication generally is automatic if you have gemini-cli installed; else, you can authenticate manually:

```bash
llm gemini-ca auth
```

This will:
1. Open your browser to Google's OAuth consent page
2. After you approve, save credentials to `~/.gemini/oauth_creds.json`
3. The credentials include a refresh token for automatic renewal

The OAuth credentials are stored with file permissions `0600` for security.

## Usage

Once authenticated, use the models with the `gemini-ca/` prefix:

```bash
llm -m gemini-ca/gemini-2.5-flash "Tell me a joke about a pelican"
```

You can set it as your default model:

```bash
llm models default gemini-ca/gemini-2.5-flash
llm "Tell me a joke about a pelican"
```

## Available Models

Models available via Code Assist API with the `gemini-ca/` prefix:

- `gemini-ca/gemini-3-pro-preview` - Gemini 3 Pro (preview)
- `gemini-ca/gemini-3-flash-preview` - Gemini 3 Flash (preview)
- `gemini-ca/gemini-2.5-pro` - Gemini 2.5 Pro
- `gemini-ca/gemini-2.5-flash` - Gemini 2.5 Flash
- `gemini-ca/gemini-2.5-flash-lite` - Gemini 2.5 Flash Lite

See [gemini-cli model configs](https://github.com/google-gemini/gemini-cli/blob/main/packages/core/src/config/defaultModelConfigs.ts) for the canonical model list.

### Model Latency

Typical response times for a simple prompt (tested January 2026):

| Model | Avg (ms) | Notes |
|-------|----------|-------|
| gemini-2.5-flash-lite | ~1200 | Fastest |
| gemini-2.5-flash | ~1500 | |
| gemini-3-flash-preview | ~1900 | Preview |
| gemini-2.5-pro | ~4000 | High variance |
| gemini-3-pro-preview | ~4500 | Preview |

Note: Code Assist API has rate limits (~3 requests/minute). Use `scripts/profile_request.py` to benchmark.

## Features

All features from llm-gemini are supported:

### Multi-modal Input

```bash
llm -m gemini-ca/gemini-2.5-flash 'describe image' -a image.jpg
```

### JSON Output

```bash
llm -m gemini-ca/gemini-2.5-flash -o json_object 1 \
  '3 largest cities in California'
```

### Code Execution

```bash
llm -m gemini-ca/gemini-2.0-flash -o code_execution 1 \
  'calculate factorial of 13'
```

### Google Search

```bash
llm -m gemini-ca/gemini-2.5-flash -o google_search 1 \
  'What happened today?'
```

### Chat

```bash
llm chat -m gemini-ca/gemini-2.5-flash
```

## Troubleshooting

If you get authentication errors:

1. Check if your credentials are expired:
   ```bash
   cat ~/.gemini/oauth_creds.json | python -m json.tool
   ```

2. Re-authenticate:
   ```bash
   llm gemini-ca auth
   ```

## Development

To set up the development environment:

```bash
cd llm-gemini-code-assist
uv sync
uv run pre-commit install
```

This installs dependencies and sets up pre-commit hooks (including secret scanning).

Run tests:

```bash
uv run pytest
```

The pre-commit hooks will automatically run linting, formatting, type checking, and secret scanning before each commit. You can also run them manually:

```bash
uv run pre-commit run --all-files
```

### Releasing

Releases are tag-driven and automated via GitHub Actions.

```bash
# 1. Ensure tests pass
uv run pytest

# 2. Create and push a version tag (triggers release workflow)
git tag v0.27.0
git push origin v0.27.0
```

This will automatically build the package, create a GitHub Release with changelog, and publish to PyPI.

## Differences from llm-gemini

- Uses OAuth authentication instead of API keys
- Requires Code Assist API access
- Models use `gemini-ca/` prefix
- Tokens auto-refresh using stored refresh tokens

## License

Apache 2.0
