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deepseek_r1

What it is​

  • A non-functional template for configuring a deepseek-r1 chat model for the Devops Engineer domain.
  • Provides a factory function to build a langchain_openai.ChatOpenAI client when a DEEPSEEK_API_KEY is available.

Public API​

  • create_model() -> ChatOpenAI | None
    • Logs a warning that the model is not functional yet (template only).
    • Reads the API key from naas_abi.secret.get("DEEPSEEK_API_KEY").
    • Returns:
      • a configured ChatOpenAI instance if the key exists
      • None if the key is missing (and logs an error)
  • Module variable: model
    • Currently set to None (comment indicates it “would be: create_model()”)

Configuration/Dependencies​

  • Dependencies:
    • langchain_openai.ChatOpenAI
    • naas_abi.secret (for retrieving secrets)
    • naas_abi_core.logger (for warnings/errors)
  • Required secret/environment:
    • DEEPSEEK_API_KEY (retrieved via secret.get("DEEPSEEK_API_KEY"))
  • Model settings (as configured in code):
    • model="deepseek-r1"
    • temperature=0.1
    • max_tokens=4000

Usage​

from naas_abi_marketplace.domains.devops_engineer.models.deepseek_r1 import create_model

llm = create_model()
if llm is None:
    raise RuntimeError("Missing DEEPSEEK_API_KEY")

# Use `llm` as a LangChain ChatOpenAI instance in your pipeline.

Caveats​

  • The module explicitly states it is NOT FUNCTIONAL YET and logs a warning on create_model() execution.
  • The exported model variable is always None in the current implementation.