Hacktoberfest 2026: los issues que los mantenedores marcaron para octubre, abiertos y aptos para principiantes. Explorar issues de Hacktoberfest

auto_instrument() creates duplicate LLM spans for Google ADK Gemini calls

Cerrado
  • ¿Algo no está bien?
#896 1 comentario 0 reacciones 1 asignado Ver en GitHub

Los mantenedores suelen responder en 1 día

@AbhiPrasad ya está trabajando en esto.

Desde el 8/10/2026.

  • #897 de @AbhiPrasad — fusionado

Evaluación

Este issue todavía no se ha evaluado.

Descripción

bug python

With braintrust.auto_instrument(), a Google ADK Gemini request produces two nested llm spans with identical token usage: ADK's llm_call [direct_response] and Google GenAI's generate_content.

Reproduction

Install:

pip install braintrust==0.45.0 google-adk==2.11.0 google-genai==2.28.0

Configure BRAINTRUST_API_KEY, BRAINTRUST_PROJECT, and GOOGLE_API_KEY through environment variables. Use a test project: this example makes a Gemini request and uploads its trace to Braintrust.

import asyncio
import os

import braintrust
from google.adk.agents import LlmAgent
from google.adk.runners import InMemoryRunner
from google.genai import types

logger = braintrust.init_logger(project=os.environ["BRAINTRUST_PROJECT"])
braintrust.auto_instrument()

async def main():
    agent = LlmAgent(
        name="hello",
        model="gemini-2.5-flash",
        instruction="Reply with one word.",
    )
    runner = InMemoryRunner(agent=agent, app_name="repro")
    session = await runner.session_service.create_session(
        app_name="repro", user_id="u"
    )
    msg = types.Content(
        role="user", parts=[types.Part(text="Say hello.")]
    )
    with braintrust.start_span(name="adk_duplicate_span_repro"):
        async for _ in runner.run_async(
            user_id="u", session_id=session.id, new_message=msg
        ):
            pass

asyncio.run(main())
logger.flush()

Observations and validation

Originally observed with Braintrust 0.41.0, Google ADK 1.14.1, and Google GenAI 1.75.0.

Also reproduced on October 7, 2026 using the latest stable versions available that day: Braintrust 0.45.0, Google ADK 2.11.0, and Google GenAI 2.28.0, on Python 3.13.12/macOS.

The latest-version test used the real ADK runner, Gemini adapter, GenAI SDK, and Braintrust instrumentation, with only the provider network response mocked. Spans were captured in memory without uploading. It did not verify live Gemini calls or Braintrust dashboard aggregation on these newer versions.

A synthetic response containing 23 prompt tokens and 62 completion tokens produced:

Instrumentation Provider requests LLM spans Summed prompt tokens Summed completion tokens
Both enabled 1 2 46 124
ADK only 1 1 23 62
GenAI only 1 1 23 62

Each configuration ran in a fresh process. Assertions confirmed that both spans carried identical usage and that generate_content was a direct child of llm_call [direct_response]. Dependency validation with pip check passed.

In the original live traces, trace summaries counted both spans and reported duplicated LLM-call and token totals. Exact token values can vary between live runs.

Expected behavior

Each underlying Gemini request should contribute usage and LLM-call count once, while retaining ADK agent/tool tracing and instrumentation of Gemini calls made outside ADK.

Suspected cause

_flow_call_llm_async_wrapper in py/src/braintrust/integrations/adk/tracing.py opens an llm span around BaseLlmFlow._call_llm_async and logs response usage.

The nested Google GenAI generate_content call is separately instrumented as an llm span and logs usage for the same request.

Impact and possible approach

Duplicated usage inflates token totals and can affect cost reporting based on those totals. Disabling ADK instrumentation loses its agent/tool tracing; disabling Google GenAI instrumentation loses automatic tracing of direct Gemini calls outside ADK in the same process.

One possible approach is to suppress the redundant provider span within an ADK model call, or retain it as a non-llm span without duplicated usage. Removing usage alone would leave the duplicate LLM-call count.

Related: #878, fixed by PR #880, concerns a different duplication mechanism involving wrap_openai() and auto_instrument().

Lenguaje dominante
Python
Estrellas
21
Forks
23
Merge medio
18 h 23 min
PR fusionados (30 d)
104

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de braintrustdata/braintrust-sdk-python

Todos los issues de braintrustdata/braintrust-sdk-python

Issues similares

Más issues de Python

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.