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o4_mini_deep_research

What it is​

  • A module-level definition of a ChatModel configured for OpenAI’s o4-mini-deep-research via langchain_openai.ChatOpenAI.
  • Exposes a ready-to-use model object preconfigured with:
    • model_id="o4-mini-deep-research"
    • provider="openai"
    • temperature=0
    • API key pulled from ABIModule configuration

Public API​

  • Constants
    • MODEL_ID: str — "o4-mini-deep-research"
    • PROVIDER: str — "openai"
  • Module variable
    • model: ChatModel — naas_abi_core.models.Model.ChatModel instance wrapping a ChatOpenAI client.

Configuration/Dependencies​

  • Dependencies
    • langchain_openai.ChatOpenAI
    • naas_abi_core.models.Model.ChatModel
    • naas_abi_marketplace.ai.chatgpt.ABIModule
    • pydantic.SecretStr
  • Configuration
    • Requires ABIModule.get_instance().configuration.openai_api_key to be set; used to build the ChatOpenAI client.

Usage​

from naas_abi_marketplace.ai.chatgpt.models.o4_mini_deep_research import model

# `model` is a ChatModel wrapper; use it according to your ChatModel interface.
print(model.model_id)   # "o4-mini-deep-research"
print(model.provider)   # "openai"

# Access the underlying LangChain client if needed:
llm = model.model

Caveats​

  • Importing the module constructs the ChatOpenAI client immediately; it will access ABIModule configuration at import time.
  • If openai_api_key is missing/invalid, instantiation may fail depending on upstream library behavior.