Deepseek

When using Deepseek models, llm-exe will make POST requests to https://api.deepseek.com/v1/chat/completions. All models are supported if you pass deepseek.chat.v1 as the first argument, and then specify a model in the options.

Basic Usage

Deepseek Chat

const llm = useLlm("deepseek.chat.v1", {
  model: "deepseek-chat", // specify a model
});

Deepseek Chat By Model

const llm = useLlm("deepseek.chat", {
  // other options,
  // no model needed, using deepseek-chat model
});

INFO

You can use the following models using this shorthand:

• deepseek.chat

Authentication

To authenticate, you need to provide an Deepseek API Key. You can provide the API key various ways, depending on your use case.

1. Pass in as execute options using deepseekApiKey
2. Pass in as setup options using deepseekApiKey
3. Use a default key by setting an environment variable of DEEPSEEK_API_KEY

Generally you pass the LLM instance off to an LLM Executor and call that. However, it is possible to interact with the LLM object directly, if you wanted.

// given array of chat messages, calls chat completion
await llm.chat([]);

// given string prompt, calls completion
await llm.completion("");

Deepseek-Specific Options

In addition to the generic options, the following options are Deepseek-specific and can be passed in when creating a llm function.

Option	Type	Default	Description
model	string	gpt-4o-mini	The model to use. Can be any valid chat model. See Deepseek Docs
deepseekApiKey	string	undefined	API key for Deepseek. See authentication
temperature	number	undefined	Maps to temperature.*
maxTokens	number	undefined	Maps to max_tokens. See Deepseek Docs
topP	number	undefined	Maps to top_p. See Deepseek Docs
n	number	undefined	Maps to n. See Deepseek Docs
stream	boolean	undefined	See Deepseek Docs. Note: Not supported yet.

* Deepseek Docs: link