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82 lines
2.1 KiB
82 lines
2.1 KiB
# tools - search, code executor, create api
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import os
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import requests
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from dotenv import load_dotenv
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import json
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load_dotenv()
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API_KEY = os.getenv("SWARMS_API_KEY")
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BASE_URL = "https://swarms-api-285321057562.us-east1.run.app"
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headers = {"x-api-key": API_KEY, "Content-Type": "application/json"}
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def run_health_check():
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response = requests.get(f"{BASE_URL}/health", headers=headers)
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return response.json()
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def run_single_swarm():
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payload = {
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"name": "Financial Analysis Swarm",
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"description": "Market analysis swarm",
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"agents": [
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{
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"agent_name": "Market Analyst",
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"description": "Analyzes market trends",
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"system_prompt": "You are a financial analyst expert.",
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"model_name": "gpt-4o",
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"role": "worker",
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"max_loops": 1,
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"max_tokens": 8192,
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},
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{
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"agent_name": "Economic Forecaster",
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"description": "Predicts economic trends",
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"system_prompt": "You are an expert in economic forecasting.",
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"model_name": "gpt-4o",
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"role": "worker",
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"max_loops": 1,
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"max_tokens": 8192,
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},
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],
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"max_loops": 1,
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"swarm_type": "SequentialWorkflow",
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"task": "What are the best etfs and index funds for ai and tech?",
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"output_type": "dict",
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# "return_history": True,
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}
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response = requests.post(
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f"{BASE_URL}/v1/swarm/completions",
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headers=headers,
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json=payload,
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)
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# return response.json()
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output = response.json()
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return json.dumps(output, indent=4)
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def get_logs():
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response = requests.get(
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f"{BASE_URL}/v1/swarm/logs", headers=headers
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)
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output = response.json()
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# return json.dumps(output, indent=4)
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return output
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if __name__ == "__main__":
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result = run_single_swarm()
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print("Swarm Result:")
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print(result)
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# logs = get_logs()
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# logs = json.dumps(logs, indent=4)
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# print("Logs:")
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# print(logs)
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