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Merged
merged 3 commits into from
May 22, 2025
Merged

Clean up dataclasses reprs #1812

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8dfe2bf
Clean up dataclasses reprs
dmontagu May 22, 2025
234bea1
More clean up
dmontagu May 22, 2025
f81254b
Fix failing tests
dmontagu May 22, 2025
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65 changes: 14 additions & 51 deletions docs/agents.md
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Original file line number Diff line number Diff line change
Expand Up @@ -135,30 +135,21 @@ async def main():
UserPromptPart(
content='What is the capital of France?',
timestamp=datetime.datetime(...),
part_kind='user-prompt',
)
],
instructions=None,
kind='request',
]
)
),
CallToolsNode(
model_response=ModelResponse(
parts=[TextPart(content='Paris', part_kind='text')],
parts=[TextPart(content='Paris')],
usage=Usage(
requests=1,
request_tokens=56,
response_tokens=1,
total_tokens=57,
details=None,
requests=1, request_tokens=56, response_tokens=1, total_tokens=57
),
model_name='gpt-4o',
timestamp=datetime.datetime(...),
kind='response',
vendor_id=None,
)
),
End(data=FinalResult(output='Paris', tool_name=None, tool_call_id=None)),
End(data=FinalResult(output='Paris')),
]
"""
print(agent_run.result.output)
Expand Down Expand Up @@ -207,30 +198,24 @@ async def main():
UserPromptPart(
content='What is the capital of France?',
timestamp=datetime.datetime(...),
part_kind='user-prompt',
)
],
instructions=None,
kind='request',
]
)
),
CallToolsNode(
model_response=ModelResponse(
parts=[TextPart(content='Paris', part_kind='text')],
parts=[TextPart(content='Paris')],
usage=Usage(
requests=1,
request_tokens=56,
response_tokens=1,
total_tokens=57,
details=None,
),
model_name='gpt-4o',
timestamp=datetime.datetime(...),
kind='response',
vendor_id=None,
)
),
End(data=FinalResult(output='Paris', tool_name=None, tool_call_id=None)),
End(data=FinalResult(output='Paris')),
]
"""
```
Expand Down Expand Up @@ -370,7 +355,7 @@ if __name__ == '__main__':
[
'=== UserPromptNode: What will the weather be like in Paris on Tuesday? ===',
'=== ModelRequestNode: streaming partial request tokens ===',
"[Request] Starting part 0: ToolCallPart(tool_name='weather_forecast', args=None, tool_call_id='0001', part_kind='tool-call')",
"[Request] Starting part 0: ToolCallPart(tool_name='weather_forecast', tool_call_id='0001')",
'[Request] Part 0 args_delta={"location":"Pa',
'[Request] Part 0 args_delta=ris","forecast_',
'[Request] Part 0 args_delta=date":"2030-01-',
Expand All @@ -379,7 +364,7 @@ if __name__ == '__main__':
'[Tools] The LLM calls tool=\'weather_forecast\' with args={"location":"Paris","forecast_date":"2030-01-01"} (tool_call_id=\'0001\')',
"[Tools] Tool call '0001' returned => The forecast in Paris on 2030-01-01 is 24°C and sunny.",
'=== ModelRequestNode: streaming partial request tokens ===',
"[Request] Starting part 0: TextPart(content='It will be ', part_kind='text')",
"[Request] Starting part 0: TextPart(content='It will be ')",
'[Result] The model produced a final output (tool_name=None)',
"[Request] Part 0 text delta: 'warm and sunny '",
"[Request] Part 0 text delta: 'in Paris on '",
Expand Down Expand Up @@ -417,9 +402,7 @@ result_sync = agent.run_sync(
print(result_sync.output)
#> Rome
print(result_sync.usage())
"""
Usage(requests=1, request_tokens=62, response_tokens=1, total_tokens=63, details=None)
"""
#> Usage(requests=1, request_tokens=62, response_tokens=1, total_tokens=63)

try:
result_sync = agent.run_sync(
Expand Down Expand Up @@ -831,32 +814,22 @@ with capture_run_messages() as messages: # (2)!
UserPromptPart(
content='Please get me the volume of a box with size 6.',
timestamp=datetime.datetime(...),
part_kind='user-prompt',
)
],
instructions=None,
kind='request',
]
),
ModelResponse(
parts=[
ToolCallPart(
tool_name='calc_volume',
args={'size': 6},
tool_call_id='pyd_ai_tool_call_id',
part_kind='tool-call',
)
],
usage=Usage(
requests=1,
request_tokens=62,
response_tokens=4,
total_tokens=66,
details=None,
requests=1, request_tokens=62, response_tokens=4, total_tokens=66
),
model_name='gpt-4o',
timestamp=datetime.datetime(...),
kind='response',
vendor_id=None,
),
ModelRequest(
parts=[
Expand All @@ -865,32 +838,22 @@ with capture_run_messages() as messages: # (2)!
tool_name='calc_volume',
tool_call_id='pyd_ai_tool_call_id',
timestamp=datetime.datetime(...),
part_kind='retry-prompt',
)
],
instructions=None,
kind='request',
]
),
ModelResponse(
parts=[
ToolCallPart(
tool_name='calc_volume',
args={'size': 6},
tool_call_id='pyd_ai_tool_call_id',
part_kind='tool-call',
)
],
usage=Usage(
requests=1,
request_tokens=72,
response_tokens=8,
total_tokens=80,
details=None,
requests=1, request_tokens=72, response_tokens=8, total_tokens=80
),
model_name='gpt-4o',
timestamp=datetime.datetime(...),
kind='response',
vendor_id=None,
),
]
"""
Expand Down
5 changes: 1 addition & 4 deletions docs/api/models/function.md
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Original file line number Diff line number Diff line change
Expand Up @@ -28,11 +28,8 @@ async def model_function(
UserPromptPart(
content='Testing my agent...',
timestamp=datetime.datetime(...),
part_kind='user-prompt',
)
],
instructions=None,
kind='request',
]
)
]
"""
Expand Down
15 changes: 2 additions & 13 deletions docs/direct.md
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Original file line number Diff line number Diff line change
Expand Up @@ -27,9 +27,7 @@ model_response = model_request_sync(
print(model_response.parts[0].content)
#> Paris
print(model_response.usage)
"""
Usage(requests=1, request_tokens=56, response_tokens=1, total_tokens=57, details=None)
"""
#> Usage(requests=1, request_tokens=56, response_tokens=1, total_tokens=57)
```

_(This example is complete, it can be run "as is")_
Expand Down Expand Up @@ -82,20 +80,11 @@ async def main():
tool_name='divide',
args={'numerator': '123', 'denominator': '456'},
tool_call_id='pyd_ai_2e0e396768a14fe482df90a29a78dc7b',
part_kind='tool-call',
)
],
usage=Usage(
requests=1,
request_tokens=55,
response_tokens=7,
total_tokens=62,
details=None,
),
usage=Usage(requests=1, request_tokens=55, response_tokens=7, total_tokens=62),
model_name='gpt-4.1-nano',
timestamp=datetime.datetime(...),
kind='response',
vendor_id=None,
)
"""
```
Expand Down
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