Duplicate traces

[sourabhdattawad]

Enabling traces results in duplicates. Even the LLM calls seem to happen twice with same content.

Debug information

• Agents SDK version: v0.0.3
• Python version: Python 3.10

Repro steps

from agents import Agent, FunctionTool, RunContextWrapper, function_tool, Runner, enable_verbose_stdout_logging
enable_verbose_stdout_logging()

@function_tool
def multiplication_tool_crew(first_number: int, second_number: int) -> str:
    """Useful for when you need to multiply two numbers together."""
    return first_number * second_number

async def main() -> None:
    agent = Agent(
        "assistant", 
        instructions="Your goal is to answer the question asked", 
        tools=[multiplication_tool_crew],
         model="gpt-4o-mini"
    )
    res =  await Runner.run(agent, "Multiply numbers 3 and 3")
    return res

results = await main()

Creating trace Agent workflow with id trace_c9d4682181904a829ee48ffd3c3331e4
Creating trace Agent workflow with id trace_c9d4682181904a829ee48ffd3c3331e4
Creating trace Agent workflow with id trace_c9d4682181904a829ee48ffd3c3331e4
Creating trace Agent workflow with id trace_c9d4682181904a829ee48ffd3c3331e4
Setting current trace: trace_c9d4682181904a829ee48ffd3c3331e4
Setting current trace: trace_c9d4682181904a829ee48ffd3c3331e4
Setting current trace: trace_c9d4682181904a829ee48ffd3c3331e4
Setting current trace: trace_c9d4682181904a829ee48ffd3c3331e4
Creating span <agents.tracing.span_data.AgentSpanData object at 0xffff5d1e6660> with id None
Creating span <agents.tracing.span_data.AgentSpanData object at 0xffff5d1e6660> with id None
Creating span <agents.tracing.span_data.AgentSpanData object at 0xffff5d1e6660> with id None
Creating span <agents.tracing.span_data.AgentSpanData object at 0xffff5d1e6660> with id None
Running agent assistant (turn 1)
Running agent assistant (turn 1)
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5ee7d500> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5ee7d500> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5ee7d500> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5ee7d500> with id None
Calling LLM gpt-4o-mini with input:
[
  {
    "content": "Multiply numbers are 3 and 3",
    "role": "user"
  }
]
Tools:
[
  {
    "name": "multiplication_tool_crew",
    "parameters": {
      "properties": {
        "first_number": {
          "title": "First Number",
          "type": "integer"
        },
        "second_number": {
          "title": "Second Number",
          "type": "integer"
        }
      },
      "required": [
        "first_number",
        "second_number"
      ],
      "title": "multiplication_tool_crew_args",
      "type": "object",
      "additionalProperties": false
    },
    "strict": true,
    "type": "function",
    "description": "Useful for when you need to multiply two numbers together."
  }
]
Stream: False
Tool choice: NOT_GIVEN
Response format: NOT_GIVEN

Calling LLM gpt-4o-mini with input:
[
  {
    "content": "Multiply numbers are 3 and 3",
    "role": "user"
  }
]
Tools:
[
  {
    "name": "multiplication_tool_crew",
    "parameters": {
      "properties": {
        "first_number": {
          "title": "First Number",
          "type": "integer"
        },
        "second_number": {
          "title": "Second Number",
          "type": "integer"
        }
      },
      "required": [
        "first_number",
        "second_number"
      ],
      "title": "multiplication_tool_crew_args",
      "type": "object",
      "additionalProperties": false
    },
    "strict": true,
    "type": "function",
    "description": "Useful for when you need to multiply two numbers together."
  }
]
Stream: False
Tool choice: NOT_GIVEN
Response format: NOT_GIVEN

LLM resp:
[
  {
    "id": "fc_67d1abfab1d48191b295cc2d0bdd123b02b1fe54032bc4cf",
    "arguments": "{\"first_number\":3,\"second_number\":3}",
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "name": "multiplication_tool_crew",
    "type": "function_call",
    "status": "completed"
  }
]

LLM resp:
[
  {
    "id": "fc_67d1abfab1d48191b295cc2d0bdd123b02b1fe54032bc4cf",
    "arguments": "{\"first_number\":3,\"second_number\":3}",
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "name": "multiplication_tool_crew",
    "type": "function_call",
    "status": "completed"
  }
]

Creating span <agents.tracing.span_data.FunctionSpanData object at 0xffff5d1babb0> with id None
Creating span <agents.tracing.span_data.FunctionSpanData object at 0xffff5d1babb0> with id None
Creating span <agents.tracing.span_data.FunctionSpanData object at 0xffff5d1babb0> with id None
Creating span <agents.tracing.span_data.FunctionSpanData object at 0xffff5d1babb0> with id None
Invoking tool multiplication_tool_crew with input {"first_number":3,"second_number":3}
Invoking tool multiplication_tool_crew with input {"first_number":3,"second_number":3}
Tool call args: [3, 3], kwargs: {}
Tool call args: [3, 3], kwargs: {}
Tool multiplication_tool_crew returned 9
Tool multiplication_tool_crew returned 9
Running agent assistant (turn 2)
Running agent assistant (turn 2)
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5d32e880> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5d32e880> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5d32e880> with id None
Creating span <agents.tracing.span_data.ResponseSpanData object at 0xffff5d32e880> with id None
Calling LLM gpt-4o-mini with input:
[
  {
    "content": "Multiply numbers are 3 and 3",
    "role": "user"
  },
  {
    "id": "fc_67d1abfab1d48191b295cc2d0bdd123b02b1fe54032bc4cf",
    "arguments": "{\"first_number\":3,\"second_number\":3}",
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "name": "multiplication_tool_crew",
    "type": "function_call",
    "status": "completed"
  },
  {
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "output": "9",
    "type": "function_call_output"
  }
]
Tools:
[
  {
    "name": "multiplication_tool_crew",
    "parameters": {
      "properties": {
        "first_number": {
          "title": "First Number",
          "type": "integer"
        },
        "second_number": {
          "title": "Second Number",
          "type": "integer"
        }
      },
      "required": [
        "first_number",
        "second_number"
      ],
      "title": "multiplication_tool_crew_args",
      "type": "object",
      "additionalProperties": false
    },
    "strict": true,
    "type": "function",
    "description": "Useful for when you need to multiply two numbers together."
  }
]
Stream: False
Tool choice: NOT_GIVEN
Response format: NOT_GIVEN

Calling LLM gpt-4o-mini with input:
[
  {
    "content": "Multiply numbers are 3 and 3",
    "role": "user"
  },
  {
    "id": "fc_67d1abfab1d48191b295cc2d0bdd123b02b1fe54032bc4cf",
    "arguments": "{\"first_number\":3,\"second_number\":3}",
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "name": "multiplication_tool_crew",
    "type": "function_call",
    "status": "completed"
  },
  {
    "call_id": "call_NGfFinOHzCoU0QqZGMxNF39l",
    "output": "9",
    "type": "function_call_output"
  }
]
Tools:
[
  {
    "name": "multiplication_tool_crew",
    "parameters": {
      "properties": {
        "first_number": {
          "title": "First Number",
          "type": "integer"
        },
        "second_number": {
          "title": "Second Number",
          "type": "integer"
        }
      },
      "required": [
        "first_number",
        "second_number"
      ],
      "title": "multiplication_tool_crew_args",
      "type": "object",
      "additionalProperties": false
    },
    "strict": true,
    "type": "function",
    "description": "Useful for when you need to multiply two numbers together."
  }
]
Stream: False
Tool choice: NOT_GIVEN
Response format: NOT_GIVEN

LLM resp:
[
  {
    "id": "msg_67d1abfb60d0819197564fc1685f589502b1fe54032bc4cf",
    "content": [
      {
        "annotations": [],
        "text": "The result of multiplying 3 and 3 is 9.",
        "type": "output_text"
      }
    ],
    "role": "assistant",
    "status": "completed",
    "type": "message"
  }
]

LLM resp:
[
  {
    "id": "msg_67d1abfb60d0819197564fc1685f589502b1fe54032bc4cf",
    "content": [
      {
        "annotations": [],
        "text": "The result of multiplying 3 and 3 is 9.",
        "type": "output_text"
      }
    ],
    "role": "assistant",
    "status": "completed",
    "type": "message"
  }
]

Resetting current trace
Resetting current trace
Resetting current trace
Resetting current trace

Expected behavior

A clear and concise description of what you expected to happen.

[rm-openai]

Looking into it.

[rm-openai]

This is just a logging bug. #149 to resolve.