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98d2b24cba
* Add Sarvam LLM provider, update Sarvam STT models, expose usage_info on run detail. Depends on pipecat PR dograh-hq/pipecat#43 for STT string language support. Submodule bump will follow after that merges. * test: cover Sarvam STT language mapping; link Sarvam docs --------- Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
13 lines
399 B
Python
13 lines
399 B
Python
"""Format workflow run usage for public API responses."""
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def format_public_usage_info(usage_info: dict | None) -> dict | None:
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if not usage_info:
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return None
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return {
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"llm": usage_info.get("llm") or {},
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"tts": usage_info.get("tts") or {},
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"stt": usage_info.get("stt") or {},
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"call_duration_seconds": usage_info.get("call_duration_seconds"),
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}
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