ReqLLM.
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DeepSeek AI provider – OpenAI-compatible Chat Completions API.
Implementation
Uses built-in OpenAI-style encoding/decoding defaults. DeepSeek is fully OpenAI-compatible, so no custom request/response handling is needed.
Authentication
Requires a DeepSeek API key from https://platform.deepseek.com/
Configuration
# Add to .env file (automatically loaded)
DEEPSEEK_API_KEY=your-api-keyExamples
# Basic usage
ReqLLM.generate_text("deepseek:deepseek-chat", "Hello!")
# With custom parameters
ReqLLM.generate_text("deepseek:deepseek-reasoner", "Write a function",
temperature: 0.2,
max_tokens: 2000
)
# Streaming
ReqLLM.stream_text("deepseek:deepseek-chat", "Tell me a story")
|> Enum.each(&IO.write/1)Models
DeepSeek offers several models including:
deepseek-chat- General purpose conversational modeldeepseek-reasoner- Reasoning and problem-solving
See https://platform.deepseek.com/docs for full model documentation.
Summary
Functions
Default implementation of attach/3.
Default implementation of attach_stream/4.
Default implementation of build_body/1.
Default implementation of decode_response/1.
Default implementation of decode_stream_event/2.
Callback implementation for ReqLLM.Provider.default_env_key/0.
Default implementation of encode_body/1.
Default implementation of extract_usage/2.
Default implementation of prepare_request/4.
Default implementation of translate_options/3.
Functions
Default implementation of attach/3.
Sets up Bearer token authentication and standard pipeline steps.
Default implementation of attach_stream/4.
Builds complete streaming requests using OpenAI-compatible format.
Default implementation of build_body/1.
Builds request body using OpenAI-compatible format for chat and embedding operations.
Default implementation of decode_response/1.
Handles success/error responses with standard ReqLLM.Response creation.
Default implementation of decode_stream_event/2.
Decodes SSE events using OpenAI-compatible format.
Callback implementation for ReqLLM.Provider.default_env_key/0.
Default implementation of encode_body/1.
Encodes request body using OpenAI-compatible format for chat and embedding operations.
Default implementation of extract_usage/2.
Extracts usage data from standard usage field in response body.
Default implementation of prepare_request/4.
Handles :chat, :object, and :embedding operations using OpenAI-compatible patterns.
Default implementation of translate_options/3.
Pass-through implementation that returns options unchanged.