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gpt_4o

What it is​

  • A non-functional template for configuring a gpt-4o chat model (via langchain_openai.ChatOpenAI) for the Sales Development Representative domain.
  • Emits warnings/errors via naas_abi_core.logger and reads the OpenAI key via naas_abi.secret.

Public API​

  • create_model() -> ChatOpenAI | None
    • Logs a warning that this is not functional yet.
    • Retrieves OPENAI_API_KEY via secret.get("OPENAI_API_KEY").
    • Returns:
      • A configured ChatOpenAI instance if the API key is present.
      • None if the API key is missing (and logs an error).
  • Module attribute: model
    • Currently set to None (comment indicates it “would be: create_model()”).

Configuration/Dependencies​

  • Dependencies:
    • langchain_openai.ChatOpenAI
    • naas_abi.secret (expects secret.get("OPENAI_API_KEY"))
    • naas_abi_core.logger
  • Model configuration used in create_model():
    • model="gpt-4o"
    • temperature=0.2
    • max_tokens=4000
    • api_key=<OPENAI_API_KEY>

Usage​

from naas_abi_marketplace.domains.sales-development-representative.models.gpt_4o import create_model

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

# Example: in LangChain, you would typically call llm.invoke(...) with messages,
# but this module only provides the model factory.

Caveats​

  • The module is explicitly marked “NOT FUNCTIONAL YET” and logs a warning on create_model().
  • The exported model variable is always None in the current code (no automatic initialization).
  • If OPENAI_API_KEY is not available via naas_abi.secret, create_model() returns None.