|
| 1 | +import asyncio |
| 2 | +import os |
| 3 | + |
| 4 | +from agents import Agent, Runner, function_tool |
| 5 | +from pydantic import BaseModel |
| 6 | +from simpleeval import simple_eval |
| 7 | + |
| 8 | +import sentry_sdk |
| 9 | +from sentry_sdk.integrations.openai_agents import OpenAIAgentsIntegration |
| 10 | +from sentry_sdk.integrations.stdlib import StdlibIntegration |
| 11 | + |
| 12 | + |
| 13 | +@function_tool |
| 14 | +def calculate(expression: str): |
| 15 | + """ |
| 16 | + A tool for evaluating mathematical expressions. |
| 17 | + Example expressions: |
| 18 | + '1.2 * (2 + 4.5)', '12.7 cm to inch' |
| 19 | + 'sin(45 deg) ^ 2' |
| 20 | + """ |
| 21 | + # Remove any whitespace |
| 22 | + expression = expression.strip() |
| 23 | + |
| 24 | + # Evaluate the expression |
| 25 | + result = simple_eval(expression) |
| 26 | + |
| 27 | + # If the result is a float, round it to 6 decimal places |
| 28 | + if isinstance(result, float): |
| 29 | + result = round(result, 6) |
| 30 | + |
| 31 | + return result |
| 32 | + |
| 33 | + |
| 34 | +class FinalResult(BaseModel): |
| 35 | + number: float |
| 36 | + |
| 37 | + |
| 38 | +INSTRUCTIONS = ( |
| 39 | + "You are solving math problems. " |
| 40 | + "Reason step by step. " |
| 41 | + "Use the calculator when necessary. " |
| 42 | + "When you give the final answer, " |
| 43 | + "provide an explanation for how you arrived at it. " |
| 44 | +) |
| 45 | + |
| 46 | + |
| 47 | +math_agent = Agent( |
| 48 | + name="MathAgent", |
| 49 | + instructions=INSTRUCTIONS, |
| 50 | + tools=[calculate], |
| 51 | + model="gpt-4o", |
| 52 | + output_type=FinalResult, |
| 53 | +) |
| 54 | + |
| 55 | + |
| 56 | +PROMPT = ( |
| 57 | + "A taxi driver earns $9461 per 1-hour of work. " |
| 58 | + "If he works 12 hours a day and in 1 hour " |
| 59 | + "he uses 12 liters of petrol with a price of $134 for 1 liter. " |
| 60 | + "How much money does he earn in one day?" |
| 61 | +) |
| 62 | + |
| 63 | + |
| 64 | +def before_send_transaction(event, hint): |
| 65 | + """Print gen_ai attributes from all spans before sending transaction.""" |
| 66 | + print("\n" + "=" * 80) |
| 67 | + print("TRANSACTION EVENT - Printing all spans with gen_ai attributes") |
| 68 | + print("=" * 80) |
| 69 | + |
| 70 | + spans = event.get("spans", []) |
| 71 | + for span in spans: |
| 72 | + op = span.get("op", "unknown") |
| 73 | + description = span.get("description", "no description") |
| 74 | + span_id = span.get("span_id", "unknown") |
| 75 | + data = span.get("data", {}) |
| 76 | + |
| 77 | + # Filter gen_ai prefixed attributes |
| 78 | + gen_ai_attrs = {k: v for k, v in data.items() if k.startswith("gen_ai")} |
| 79 | + |
| 80 | + if gen_ai_attrs: |
| 81 | + print(f"\nSPAN: {op} - {description}") |
| 82 | + print(f"Span ID: {span_id}") |
| 83 | + print("gen_ai attributes:") |
| 84 | + for key, value in sorted(gen_ai_attrs.items()): |
| 85 | + print(f" {key}: {value}") |
| 86 | + |
| 87 | + print("=" * 80 + "\n") |
| 88 | + return event |
| 89 | + |
| 90 | + |
| 91 | +async def main() -> None: |
| 92 | + sentry_sdk.init( |
| 93 | + dsn=os.environ.get("SENTRY_DSN"), |
| 94 | + environment=os.environ.get("ENV", "test"), |
| 95 | + traces_sample_rate=1.0, |
| 96 | + send_default_pii=True, |
| 97 | + # before_send_transaction=before_send_transaction, |
| 98 | + integrations=[OpenAIAgentsIntegration()], |
| 99 | + disabled_integrations=[ |
| 100 | + StdlibIntegration(), |
| 101 | + ], |
| 102 | + debug=True, |
| 103 | + ) |
| 104 | + |
| 105 | + print("Starting streamed run...") |
| 106 | + print(f"Input: {PROMPT}") |
| 107 | + |
| 108 | + result = Runner.run_streamed(math_agent, input=PROMPT) |
| 109 | + |
| 110 | + async for event in result.stream_events(): |
| 111 | + # Ignore raw response event deltas for cleaner output |
| 112 | + if event.type == "raw_response_event": |
| 113 | + continue |
| 114 | + # When the agent updates, print that |
| 115 | + elif event.type == "agent_updated_stream_event": |
| 116 | + print(f"Agent updated: {event.new_agent.name}") |
| 117 | + # When items are generated, print them |
| 118 | + elif event.type == "run_item_stream_event": |
| 119 | + if event.item.type == "tool_call_item": |
| 120 | + # Access tool name from raw_item if available |
| 121 | + tool_name = getattr(event.item.raw_item, "name", "unknown") |
| 122 | + print(f"-- Tool called: {tool_name}") |
| 123 | + elif event.item.type == "tool_call_output_item": |
| 124 | + print(f"-- Tool output: {event.item.output}") |
| 125 | + elif event.item.type == "message_output_item": |
| 126 | + print(f"-- Message output: {event.item}") |
| 127 | + |
| 128 | + print("Done!") |
| 129 | + |
| 130 | + |
| 131 | +if __name__ == "__main__": |
| 132 | + asyncio.run(main()) |
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