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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>
28 lines
811 B
Python
28 lines
811 B
Python
from datetime import datetime
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from typing import Any, Dict
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from pydantic import BaseModel
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from api.enums import CallType
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class WorkflowRunResponseSchema(BaseModel):
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id: int
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workflow_id: int
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name: str
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mode: str
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created_at: datetime
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is_completed: bool
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transcript_url: str | None
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recording_url: str | None
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transcript_public_url: str | None = None
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recording_public_url: str | None = None
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public_access_token: str | None = None
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cost_info: Dict[str, Any] | None
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usage_info: Dict[str, Any] | None = None
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definition_id: int | None # This is for backward compatibility
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initial_context: dict | None = None
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gathered_context: dict | None = None
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call_type: CallType
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logs: Dict[str, Any] | None = None
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annotations: Dict[str, Any] | None = None
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