This integration is only for
Agent tracing. If you are looking for the OpenAI integration with the AI gateway, please see the
OpenAI integration.
Core concepts:
- Agents: LLMs configured with instructions, tools, guardrails, and handoffs
- Handoffs: Allow agents to transfer control to other agents for specific tasks
- Guardrails: Configurable safety checks for input and output validation
- Tracing: Built-in tracking of agent runs, allowing you to view, debug and optimize your workflows
Quickstart
Install the OpenAI Agents SDK and the Keywords AI exporter, then configure the exporter to send traces from the Agents SDK to Keywords AI. Prerequisites
pip install openai-agents
pip install keywordsai-exporter-openai-agents
https://api.keywordsai.co/api/openai/v1/traces/ingest
If you are on the enterprise platform, please use the enterprise endpoint plus the suffix.
Hello World example
from dotenv import load_dotenv load_dotenv(override=True) import pytest # ==========copy paste below========== import asyncio import os from agents import Agent, Runner from agents.tracing import set_trace_processors, trace from keywordsai_exporter_openai_agents import KeywordsAITraceProcessor set_trace_processors( [ KeywordsAITraceProcessor( api_key=os.getenv("KEYWORDSAI_API_KEY"), endpoint=os.getenv("KEYWORDSAI_OAIA_TRACING_ENDPOINT"), ), ] ) @pytest.mark.asyncio async def test_main(): agent = Agent( name="Assistant", instructions="You only respond in haikus.", ) with trace("Hello world test"): result = await Runner.run(agent, "Tell me about recursion in programming.") print(result.final_output) # Function calls itself, # Looping in smaller pieces, # Endless by design. if __name__ == "__main__": asyncio.run(test_main())
Handoffs example
from agents import Agent, Runner import asyncio from keywordsai_exporter_openai_agents import KeywordsAITraceProcessor from agents.tracing import set_trace_processors import os set_trace_processors( [ KeywordsAITraceProcessor( api_key=os.getenv("KEYWORDSAI_API_KEY"), endpoint=os.getenv("KEYWORDSAI_OAIA_TRACING_ENDPOINT"), ), ] ) spanish_agent = Agent( name="Spanish agent", instructions="You only speak Spanish.", ) english_agent = Agent( name="English agent", instructions="You only speak English", ) triage_agent = Agent( name="Triage agent", instructions="Handoff to the appropriate agent based on the language of the request.", handoffs=[spanish_agent, english_agent], ) async def main(): result = await Runner.run(triage_agent, input="Hola, ¿cómo estás?") print(result.final_output) # ¡Hola! Estoy bien, gracias por preguntar. ¿Y tú, cómo estás? if __name__ == "__main__": asyncio.run(main())
Functions example
import asyncio from agents import Agent, Runner, function_tool from keywordsai_exporter_openai_agents import KeywordsAITraceProcessor from agents.tracing import set_trace_processors import os set_trace_processors( [ KeywordsAITraceProcessor( api_key=os.getenv("KEYWORDSAI_API_KEY"), endpoint=os.getenv("KEYWORDSAI_OAIA_TRACING_ENDPOINT"), ), ] ) @function_tool def get_weather(city: str) -> str: return f"The weather in {city} is sunny." agent = Agent( name="Hello world", instructions="You are a helpful agent.", tools=[get_weather], ) async def main(): result = await Runner.run(agent, input="What's the weather in Tokyo?") print(result.final_output) # The weather in Tokyo is sunny. if __name__ == "__main__": asyncio.run(main())
