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Common Errors — Genkit Python

Before anything else: read this file when you hit any error.

ModuleNotFoundError: No module named 'genkit.plugins.google_genai'

Cause: Plugin package not installed.

Fix: Add dependencies from PyPI:

uv add genkit genkit-plugin-google-genai

400 INVALID_ARGUMENT: functionDeclaration parameters schema should be of type OBJECT

Cause: Tool function has bare scalar parameters (e.g. city: str). Gemini requires object schema.

Fix: Wrap parameters in a Pydantic BaseModel:

from pydantic import BaseModel

# Wrong
@ai.tool()
async def get_weather(city: str) -> str: ...

# Right
from pydantic import BaseModel

class WeatherInput(BaseModel):
    city: str

@ai.tool()
async def get_weather(input: WeatherInput) -> str: ...

AttributeError: 'Genkit' object has no attribute 'define_tool'

Cause: Wrong decorator name.

Fix: Use @ai.tool(), not @ai.define_tool().

RuntimeError / event loop errors when using asyncio.run()

Cause: For apps you start with genkit start, Genkit runs your entrypoint with an event loop suited to the framework (including uvloop where used). There is no “default” loop for you to manage in that mode.

Fix: For long-running Genkit apps (servers, flows served under genkit start), use ai.run_main(main()) as your entrypoint instead of asyncio.run(main()). For one-off scripts that exit when done, using asyncio.run() can still be appropriate when you are not using genkit start.

Wrong model ID (no plugin prefix)

Cause: model='gemini-flash-latest' — missing plugin prefix.

Fix: model='googleai/gemini-flash-latest'

response.json / response.message AttributeError

Use response.text for plain text output
Use response.output for structured (JSON) output

await ai.generate_stream(...) fails or returns wrong type

Cause: generate_stream is synchronous — do not await it.

Fix:

sr = ai.generate_stream(prompt='...')   # no await
async for chunk in sr.stream: ...
final = await sr.response

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