OpenAI GPT-5

OpenAI's GPT-5 model with advanced reasoning capabilities and strong coding, vision, and problem-solving abilities.

Client Configuration

Client Class: GPT5OpenAIClient

Environment Setup

Environment Variables

export OPENAI_API_KEY="your-openai-key"
export OPENAI_BASE_URL="https://api.openai.com/v1"  # optional

Agent Configuration

Agent Configuration

main_agent:
  llm: 
    provider_class: "GPT5OpenAIClient"
    model_name: "gpt-5"
    async_client: true
    temperature: 1.0
    top_p: 1.0
    min_p: 0.0
    top_k: -1
    max_tokens: 16000
    reasoning_effort: "high" # Use high in the main agent, and use the default medium in the sub-agent.
    openai_api_key: "${oc.env:OPENAI_API_KEY,???}"
    openai_base_url: "${oc.env:OPENAI_BASE_URL,https://api.openai.com/v1}"

Usage

Example Command

# Run with GPT-5 on example dataset
uv run main.py common-benchmark --config_file_name=agent_llm_gpt5 output_dir="logs/test"

The agent_llm_gpt5.yaml configuration file provides a ready-to-use setup with the example dataset benchmark.

Reasoning Effort

GPT-5 supports the reasoning_effort parameter. The configuration uses "high" for better reasoning performance.

Sampling Parameters

While min_p and top_k are required in the configuration, OpenAI's API does not use them. Set them to min_p: 0.0 and top_k: -1 (disabled).

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Documentation Info

Last Updated: October 2025 · Doc Contributor: Team @ MiroMind AI