Skip to main content

gpt_5_mini

What it is​

A module-level ChatModel definition that wraps LangChain’s ChatOpenAI configured for the OpenAI model gpt-5-mini with deterministic output (temperature=0).

Public API​

  • Constants

    • MODEL_ID: str — set to "gpt-5-mini".
    • PROVIDER: str — set to "openai".

  • Objects

    • model: ChatModel — preconfigured chat model instance:
      • model_id = MODEL_ID
      • provider = PROVIDER
      • model = langchain_openai.ChatOpenAI(...) with:
        • model="gpt-5-mini"
        • temperature=0
        • api_key=SecretStr(ABIModule.get_instance().configuration.openai_api_key)

Configuration/Dependencies​

  • Dependencies
    • langchain_openai.ChatOpenAI
    • naas_abi_core.models.Model.ChatModel
    • naas_abi_marketplace.ai.chatgpt.ABIModule
    • pydantic.SecretStr
  • Required configuration
    • ABIModule.get_instance().configuration.openai_api_key must be set and accessible at import time (used to build SecretStr for api_key).

Usage​

from naas_abi_marketplace.ai.chatgpt.models.gpt_5_mini import model

# `model` is a ChatModel wrapper; use it according to your ChatModel interface.
print(model.model_id)   # "gpt-5-mini"
print(model.provider)   # "openai"

# Access underlying LangChain ChatOpenAI instance if needed:
llm = model.model

Caveats​

  • The OpenAI API key is read during module import; missing/invalid configuration can cause import-time errors.
  • This file does not define any methods; runtime interaction depends on the external ChatModel and ChatOpenAI interfaces.