gemini-cli-sdk 0.1.0

Python SDK for Gemini CLI - Experimental

Gemini CLI SDK for Python

⚠️ EXPERIMENTAL: This SDK is in early development and uses LLM-based parsing as a temporary solution. The API may change as Gemini CLI evolves.

Python SDK for Gemini CLI, providing programmatic access to Gemini with an API compatible with Claude Code SDK.

Installation

pip install gemini-cli-sdk

Prerequisites:

• Python 3.10+
• Gemini CLI installed: npm install -g @google/gemini-cli
• OpenAI API key (for LLM-based parsing)

Quick Start

import anyio
from gemini_cli_sdk import query

async def main():
    async for message in query(prompt="What is 2 + 2?"):
        print(message)

anyio.run(main)

Migration from Claude Code SDK

This SDK is designed to be API-compatible with Claude Code SDK. In most cases, you can migrate by simply changing imports:

Option 1: Update imports (recommended)

# Before
from claude_code_sdk import query, ClaudeCodeOptions

# After  
from gemini_cli_sdk import query, GeminiOptions

Option 2: Use compatibility aliases (zero code changes!)

# This works with Gemini SDK!
from gemini_cli_sdk import query, ClaudeCodeOptions

Complete example

# This Claude SDK code works unchanged with Gemini SDK
from gemini_cli_sdk import (
    query,
    ClaudeCodeOptions,  # Compatibility alias
    AssistantMessage,
    TextBlock
)

options = ClaudeCodeOptions(
    system_prompt="You are helpful",
    max_turns=1
)

async for message in query(prompt="Hello", options=options):
    if isinstance(message, AssistantMessage):
        for block in message.content:
            if isinstance(block, TextBlock):
                print(block.text)

See MIGRATION.md for detailed migration guide.

Current Limitations

As Gemini CLI doesn't yet support structured JSON output, this SDK uses LLM-based parsing:

• ✅ Structured message types (compatible with Claude SDK)
• ✅ Async iteration pattern
• ✅ Basic error handling
• ⚠️ Additional latency from parsing (~100-500ms)
• ⚠️ Requires OpenAI API key for parsing
• ❌ Tool use blocks (not yet supported)
• ❌ Session management (not exposed by Gemini CLI)
• ❌ Cost tracking (no data available)

Environment Variables

• GEMINI_API_KEY or GOOGLE_API_KEY: Your Gemini API key
• OPENAI_API_KEY: Required for LLM-based parsing
• GEMINI_PARSER_MODEL: LLM model for parsing (default: gpt-4o-mini)

Examples

Basic Query

from gemini_cli_sdk import query, GeminiOptions, AssistantMessage, TextBlock

async for message in query(prompt="Hello Gemini"):
    if isinstance(message, AssistantMessage):
        for block in message.content:
            if isinstance(block, TextBlock):
                print(block.text)

With Options

options = GeminiOptions(
    model="gemini-2.0-flash",
    system_prompt="You are a helpful assistant"
)

async for message in query(prompt="Explain Python", options=options):
    print(message)

How It Works

1. Subprocess Execution: Runs Gemini CLI as a subprocess
2. LLM Parsing: Uses Instructor + OpenAI to parse plain text output into structured messages
3. Type Safety: Provides Pydantic models compatible with Claude SDK

When Gemini CLI adds native JSON output support, the SDK will automatically switch to use it without requiring code changes.

Contributing

This is an experimental project. Contributions, issues, and feedback are welcome!

License

MIT