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feat: capture agent-turn input and spoken output - #7535
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| if user_input is not None and speech_handle._agent_turn_record_content: | ||
| gen_ai_telemetry.set_content_attributes( | ||
| turn_span, | ||
| input_messages=gen_ai_telemetry.to_input_messages( |
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this feel unnatural here. the schema states that it should be inputs going into the LLM, but we are using it to state a single user turn.
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i agree. this feels like a workaround to show nice UI for those spans on Datadog.
voice related convention is still WIP: http://github.com/open-telemetry/semantic-conventions-genai/pull/390 so I will close this one for now.
Co-authored-by: Sanjay Kukadiya <43816307+SanjuMLGeek@users.noreply.github.com>
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Show each turn’s caller input and delivered speech, including TTS-only greetings. Preserve output across tool follow-ups and use the transcript after interruption handling. Native realtime audio transcript correlation remains in AGT-3527.
Adapts @SanjuMLGeek’s content proposal from #7396; internal tool exchanges stay on child spans.
Stacked on #7534.
Addresses AGT-3605
Request summary and agent context
Model: GPT-6-Astra
Split the proposed telemetry improvements into focused PRs that are easy to review and revert. Use general problem summaries and omit customer details.