Use decoupled way for backend client
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84
core/ports/backend.py
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84
core/ports/backend.py
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"""Backend integration ports.
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These interfaces define the boundary between engine runtime logic and
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backend-side capabilities (config lookup, history persistence, retrieval,
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and tool resource discovery).
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"""
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from __future__ import annotations
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from typing import Any, Dict, List, Optional, Protocol
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class AssistantConfigProvider(Protocol):
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"""Port for loading trusted assistant runtime configuration."""
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async def fetch_assistant_config(self, assistant_id: str) -> Optional[Dict[str, Any]]:
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"""Fetch assistant configuration payload."""
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class HistoryWriter(Protocol):
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"""Port for persisting call and transcript history."""
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async def create_call_record(
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self,
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*,
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user_id: int,
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assistant_id: Optional[str],
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source: str = "debug",
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) -> Optional[str]:
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"""Create a call record and return backend call ID."""
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async def add_transcript(
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self,
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*,
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call_id: str,
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turn_index: int,
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speaker: str,
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content: str,
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start_ms: int,
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end_ms: int,
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confidence: Optional[float] = None,
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duration_ms: Optional[int] = None,
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) -> bool:
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"""Append one transcript turn segment."""
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async def finalize_call_record(
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self,
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*,
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call_id: str,
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status: str,
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duration_seconds: int,
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) -> bool:
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"""Finalize a call record."""
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class KnowledgeSearcher(Protocol):
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"""Port for RAG / knowledge retrieval operations."""
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async def search_knowledge_context(
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self,
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*,
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kb_id: str,
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query: str,
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n_results: int = 5,
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) -> List[Dict[str, Any]]:
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"""Search a knowledge source and return ranked snippets."""
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class ToolResourceResolver(Protocol):
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"""Port for resolving tool metadata/configuration."""
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async def fetch_tool_resource(self, tool_id: str) -> Optional[Dict[str, Any]]:
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"""Fetch tool resource configuration."""
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class BackendGateway(
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AssistantConfigProvider,
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HistoryWriter,
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KnowledgeSearcher,
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ToolResourceResolver,
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Protocol,
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):
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"""Composite backend gateway interface used by engine services."""
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