removing erroneous changes

This commit is contained in:
Dmitry Pimenov 2025-03-20 15:53:41 -07:00
parent 7a4c71f23b
commit 21634f31d5
2 changed files with 12 additions and 11 deletions

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@ -35,6 +35,9 @@ By default, the SDK traces the following:
- Function tool calls are each wrapped in `function_span()`
- Guardrails are wrapped in `guardrail_span()`
- Handoffs are wrapped in `handoff_span()`
- Audio inputs (speech-to-text) are wrapped in a `transcription_span()`
- Audio outputs (text-to-speech) are wrapped in a `speech_span()`
- Related audio spans may be parented under a `speech_group_span()`
By default, the trace is named "Agent trace". You can set this name if you use `trace`, or you can can configure the name and other properties with the [`RunConfig`][agents.run.RunConfig].
@ -76,7 +79,11 @@ Spans are automatically part of the current trace, and are nested under the near
## Sensitive data
Some spans track potentially sensitive data. For example, the `generation_span()` stores the inputs/outputs of the LLM generation, and `function_span()` stores the inputs/outputs of function calls. These may contain sensitive data, so you can disable capturing that data via [`RunConfig.trace_include_sensitive_data`][agents.run.RunConfig.trace_include_sensitive_data].
Certain spans may capture potentially sensitive data.
The `generation_span()` stores the inputs/outputs of the LLM generation, and `function_span()` stores the inputs/outputs of function calls. These may contain sensitive data, so you can disable capturing that data via [`RunConfig.trace_include_sensitive_data`][agents.run.RunConfig.trace_include_sensitive_data].
Similarly, Audio spans include base64-encoded PCM data for input and output audio by default. You can disable capturing this audio data by configuring [`RunConfig.trace_include_sensitive_audio_data`][agents.run.RunConfig.trace_include_sensitive_audio_data].
## Custom tracing processors

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@ -1,18 +1,12 @@
import asyncio
from agents import Agent, Runner, ModelSettings, OpenAIResponsesModel
from agents import Agent, Runner
async def main():
agent = Agent(
name="English agent",
instructions="You only speak English",
model=OpenAIResponsesModel(
model="gpt-4o",
model_settings=ModelSettings(
store=False,
)
)
name="Assistant",
instructions="You only respond in haikus.",
)
result = await Runner.run(agent, "Tell me about recursion in programming.")
@ -23,4 +17,4 @@ async def main():
if __name__ == "__main__":
asyncio.run(main())
asyncio.run(main())