How do you use new Deepseek-r1 LLM in CrewAI with OpenRouter?

[jsanders108]

Has anyone figured out how to use OpenRouter with CrewAI? I am particularly interested in testing the new Deepseek-r1 reasoning LLM that just came out, as it is supposed to be as good as the gpt-o1 model. In fact, it would be nice to test out other models that are also available via OpenRouter.

[jsanders108]

I got it to work (sort of). Here’s how I configured it in my crew:

deepseek_r1 = LLM(
model=“openrouter/deepseek/deepseek-r1”,
temperature=0,
base_url= “Model Not Found | OpenRouter”
api_key=os.getenv(“OPENAI_API_KEY”)
)

My OPENAI_API_KEY is actualy my Openrouter Api Key.

It works whenever I don’t use any tools. However, when I use a tool, it breaks (both custom and CrewAI tools). Obviously this is problematic.

Anyone have any ideas on how to solve this problem? I need to use tools in my application.

By the way, the base url (above) isn’t “Model Not Found | OpenRouter”. Discourse keeps changing it to that for some reason. It’s openrouter.ai/api/v1 (preceded by https://)

[Serafin_Sanchez]

I’ve been able to use it through the LiteLLM packaged in the install by changing the model to: deepseek/deepseek-reasoner. Its also available via Ollama. One limitation I’ve found is that “deepseek-reasoner does not support successive user or assistant messages”. I can get it to perform a single task but errors out after that.

“ERROR:root:LiteLLM call failed: litellm.BadRequestError: DeepseekException - Error code: 400 - {‘error’: {‘message’: ‘The last message of deepseek-reasoner must be a user message, or an assistant message with prefix mode on (refer to https://api-docs.deepseek.com/guides/chat_prefix_completion).’, ‘type’: ‘invalid_request_error’, ‘param’: None, ‘code’: ‘invalid_request_error’}}”

Maybe someone else has a solution or LiteLLM / Crew is working on an integration?

[Ger]

The very same here, and haven;t found a way to overcome that yet.

[Raja_Speet]

Same problem here. R1 not production ready for CrewAI at the moment. Hope this changes soon!

[Ger]

deepseek_reasoner_r1 = LLM(
    model="openrouter/deepseek/deepseek-r1",
    base_url="https://openrouter.ai/api/v1",
    api_key=os.getenv("OPEN_ROUTER_API_KEY"),
)

along with your open router keys.

[stevef1uk]

I have deployed deep seek:r1 using modal. I had to hack their example script and trying to use it with CrewAI used up my monthly free credits so I added my credit card I have hit my billing limit and not managed to get this to work using cursor IDE. The AI is going around in circles blaming CrewAI for not sending the data in the format required by the LLM so I am getting loads of 500 errors. I would love to know how to use this model from CrewAI. For the other LLMs I have tried I have used OllamaLLM, OpenAILLM & GeminiLLM classes from langchain so it is a shame their is not (yet) one I can use.

[pan]

bro，你可以试试这种方式，try，因为我没充钱显示余额不足

def test_deepseek():
    deepseek_reasoner_r1 = LLM(
        model="custom_openai/deepseek-reasoner",
        base_url="https://api.deepseek.com",
        api_key="xxx",
    )

    print(deepseek_reasoner_r1.call(messages=[{"role": "user", "content": "中国的首都?"}]))

[tonykipkemboi]

The dependency on model availability lies with what is available under LiteLLM, unfortunately. We are working on alternatives for now.

[stevef1uk]

I actually did manage to fix this in the end

[jsanders108]

Has anyone been able to get it to work with tools? I got it to work with openrouter, but I can’t use tools (which obviously limits its usefulness).

[tonykipkemboi]

DeepSeek is not made to work with tool calling, yet. There are variants that have been created recently that can do tool calling.