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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

DeepSeek is a platform for providing endpoints for Large Language models. See their library of models here. We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:
  • deepseek-chat model is good for most basic use-cases.
  • deepseek-reasoner model is good for complex reasoning and multi-step tasks.
DeepSeek does not have rate limits. See their docs for information about how to deal with slower responses during high traffic.

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Authentication

Set your DEEPSEEK_API_KEY environment variable. Get your key from here. 
export DEEPSEEK_API_KEY=***

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Example

Use DeepSeek with your Agent: 
from agno.agent import Agent, RunResponse
from agno.models.deepseek import DeepSeek

agent = Agent(model=DeepSeek(), markdown=True)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story.")
View more examples here.

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Params

ParameterTypeDefaultDescription
idstr"deepseek-chat"The specific model ID used for generating responses.
namestr"DeepSeek"The name identifier for the DeepSeek model.
providerstr"DeepSeek"The provider of the model.
api_keyOptional[str]-The API key used for authenticating requests to the DeepSeek service. Retrieved from the environment variable DEEPSEEK_API_KEY.
base_urlstr"https://api.deepseek.com"The base URL for making API requests to the DeepSeek service.
DeepSeek also supports the params of OpenAI.