pip install openai python-dotenv

export GROQ_API_KEY="your-groq-api-key"
export FIRECRAWL_API_KEY="your-firecrawl-api-key"

import os
from openai import OpenAI
from openai.types import responses as openai_responses

client = OpenAI(
    base_url="https://api.groq.com/api/openai/v1",
    api_key=os.getenv("GROQ_API_KEY")
)

tools = [
    openai_responses.tool_param.Mcp(
        server_label="firecrawl",
        server_url=f"https://mcp.firecrawl.dev/{os.getenv('FIRECRAWL_API_KEY')}/v2/mcp",
        type="mcp",
        require_approval="never",
    )
]

response = client.responses.create(
    model="openai/gpt-oss-120b",
    input="Scrape https://console.groq.com/docs/models and provide an overview of available models",
    tools=tools,
    temperature=0.1,
    top_p=0.4,
)

print(response.output_text)

response = client.responses.create(
    model="openai/gpt-oss-120b",
    input="""Extract pricing from https://openai.com, https://anthropic.com, https://groq.com
    
    Return JSON:
    {
        "company_name": "string",
        "pricing_plans": [{"plan_name": "string", "price": "string", "features": ["string"]}]
    }""",
    tools=tools,
    temperature=0.1,
)

print(response.output_text)

response = client.responses.create(
    model="openai/gpt-oss-120b",
    input="""Research "latest trends in AI model inference speed and performance":
    1. Recent developments (2024-2025)
    2. Key companies and technologies
    3. Performance benchmarks
    4. Future trends
    
    Provide a comprehensive report with citations.""",
    tools=tools,
    temperature=0.1,
)

print(response.output_text)

response = client.responses.create(
    model="openai/gpt-oss-120b",
    input="""Batch scrape these URLs and summarize key findings:
    - https://arxiv.org/abs/2401.xxxxx
    - https://arxiv.org/abs/2402.xxxxx
    - https://arxiv.org/abs/2403.xxxxx""",
    tools=tools,
    temperature=0.1,
)

print(response.output_text)