gemini key issue

[Mrsaleem110]

Hello sir there is problem on openai sdk new version. The problem is this when i create a orchestration system through gemini api key they show me error of .

[non-fatal] Tracing client error 401: {
  "error": {
    "message": "Incorrect API key provided: Gemini_a**_key. You can find your API key at https://platform.openai.com/account/api-keys.",
    "type": "invalid_request_error",
    "param": null,
    "code": "invalid_api_key"
  }

they are not supporting properly gemini key they told me that u have need to create openai api key to complete run of orchestration system agent.
kindly correct this error .
Thank you.

[Mrsaleem110]

THIS IS MY CODE SIR:

import os
from dotenv import load_dotenv
from agents import Runner,Agent,RunConfig,OpenAIChatCompletionsModel
from openai import AsyncOpenAI

load_dotenv()

gemini_key=os.getenv("GEMINI_API_KEY")
if not gemini_key:
    raise ValueError("Api key not founded")

client=AsyncOpenAI(
     base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
     api_key=gemini_key
)
model=OpenAIChatCompletionsModel(
    openai_client=client,
    model="gemini-2.0-flash"
)

config=RunConfig(
    model_provider=model,
    tracing_disabled=True
)

web_search_agent=Agent(
    name="Web_Search_Agent",
    instructions="you r web search agent. search best for user input prompt or relevent query with example."
    model=model
)
analyser_agent=Agent(
    name="Analyser_Agent",
    instructions=" You are analyser agent . when web search agent collect date u must have  analysis data h improve it.",
    model=model
)
writer_agent=Agent(
    name="Writer_agent",
    instructions=" You are writer agent when web search  agent and analyser agent done their work u must have to write output with professional format.",
    model=model
)
web_output=Runner.run_sync(
   starting_agent= web_search_agent,
    input="tell me world best llm model.",
  
)
analyser_output=Runner.run_sync(
   starting_agent= analyser_agent,
    input=f"After search analyse it {web_output.final_output}"
)
writer_output=Runner.run_sync(
   starting_agent= writer_agent,
    input=f"after analyse give final format output.{analyser_output.final_output}"
)
print(writer_output.final_output)

[seratch]

If you don't use an OpenAI API key for tracing, you can disable the feature by having set_tracing_disabled(disabled=True) :

• https://github.com/openai/openai-agents-python/blob/v0.3.3/examples/model_providers/litellm_provider.py#L17
• https://openai.github.io/openai-agents-python/tracing/

Thanks for using this SDK.

[Mrsaleem110]

I Already did it. they support gemini but openapi key is also required to run this code. u can run and test this code on your vs code by using gemini api key.

[Mrsaleem110]

this is not the answer of my question sir.

[seratch]

For gemini models, chat completions model does not work as their platform's chat completions interface is not fully compatible. so instead, please use LiteLLM adapter like this example does.

The "Tracing client error" is definitely because you're trying to set gemini model's api key for OpenAI's built-in tracing. Thus, stopping to use OpenAI client with gemini api key should resolve your issue.

[Mrsaleem110]

import os
from dotenv import load_dotenv
from agents import Runner,Agent,RunConfig,OpenAIChatCompletionsModel,set_tracing_disabled
from openai import AsyncOpenAI

load_dotenv()
set_tracing_disabled(disabled=True)

gemini_key=os.getenv("GEMINI_API_KEY")
if not gemini_key:
    raise ValueError("Api key not founded")

client=AsyncOpenAI(
     base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
     api_key=gemini_key
)
model=OpenAIChatCompletionsModel(
    openai_client=client,
    model="gemini-2.0-flash"
)

config=RunConfig(
    model_provider=model,
)

web_search_agent=Agent(
    name="Web_Search_Agent",
    instructions="you r web search agent. search best for user input prompt or relevent query with example."
)
analyser_agent=Agent(
    name="Analyser_Agent",
    instructions=" You are analyser agent . when web search agent collect date u must have  analysis data h improve it.",
    model=model
)
writer_agent=Agent(
    name="Writer_agent",
    instructions=" You are writer agent when web search  agent and analyser agent done their work u must have to write output with professional format.",
    model=model
)
web_output=Runner.run_sync(
   starting_agent= web_search_agent,
    input="tell me world best llm model.",
  
)
analyser_output=Runner.run_sync(
   starting_agent= analyser_agent,
    input=f"After search analyse it {web_output.final_output}"
)
writer_output=Runner.run_sync(
   starting_agent= writer_agent,
    input=f"after analyse give final format output.{analyser_output.final_output}"
)
print(writer_output.final_output)

STILL GETTING ERROR

[ihower]

@Mrsaleem110 You forgot to set the model for your web_search_agent.

After adding it like this, the code runs fine for me:

web_search_agent=Agent(
    name="Web_Search_Agent",
    instructions="you r web search agent. search best for user input prompt or relevent query with example.",
    model=model
)

[Mrsaleem110]

but again still get same error

[ihower]

@Mrsaleem110 fyi, this is my full working version: https://gist.github.com/ihower/67efe634f432730f5119e09248318ec1