lucsanscartier commited on
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1 Parent(s): 5ce0912

Add optional Ollama chat fallback engine

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  1. ollama_engine.py +114 -0
ollama_engine.py ADDED
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+ """
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+ ollama_engine.py — optional external Ollama fallback for LINGO.
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+
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+ Use this when Hugging Face provider credits are depleted but you have a local
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+ machine/server running Ollama behind Cloudflare Tunnel or ngrok.
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+ """
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+
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+ from __future__ import annotations
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+
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+ import logging
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+ from typing import Any
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+
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+ import httpx
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+
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+ from config import Settings
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+
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+ logger = logging.getLogger(__name__)
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+
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+ SYSTEM_PROMPT = """You are LINGO, a concise AI phone receptionist.
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+ Speak in short, natural sentences suitable for a live phone call.
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+ You can answer basic questions, take messages, collect appointment requests,
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+ and escalate when the caller asks for a human.
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+ If you do not know a business-specific detail, offer to take a message.
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+ If escalation is needed, end the reply with [ESCALATE].
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+ Keep replies under 55 words.
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+ """
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+
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+
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+ def enabled(settings: Settings) -> bool:
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+ return bool(settings.ollama_enabled and settings.ollama_chat_url and settings.ollama_model)
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+
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+
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+ def _messages_for_ollama(messages: list[dict[str, Any]], settings: Settings) -> list[dict[str, str]]:
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+ out: list[dict[str, str]] = [
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+ {
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+ "role": "system",
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+ "content": SYSTEM_PROMPT + f"\nBusiness name: {settings.business_name or 'the business'}.",
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+ }
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+ ]
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+ for message in messages[-8:]:
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+ role = str(message.get("role", "user"))
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+ content = str(message.get("content", "")).strip()
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+ if not content:
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+ continue
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+ if role not in {"user", "assistant"}:
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+ continue
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+ out.append({"role": role, "content": content[:1200]})
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+ return out
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+
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+
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+ def _headers(settings: Settings) -> dict[str, str]:
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+ headers = {"Content-Type": "application/json"}
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+ if settings.ollama_auth_token:
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+ headers["Authorization"] = f"Bearer {settings.ollama_auth_token}"
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+ return headers
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+
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+
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+ async def chat_completion(
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+ messages: list[dict[str, Any]],
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+ http_client: httpx.AsyncClient,
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+ settings: Settings,
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+ ) -> dict[str, Any]:
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+ if not enabled(settings):
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+ return {"ok": False, "source": "ollama", "error": "Ollama fallback disabled or missing config"}
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+
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+ payload = {
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+ "model": settings.ollama_model,
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+ "messages": _messages_for_ollama(messages, settings),
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+ "stream": False,
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+ "options": {
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+ "temperature": 0.35,
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+ "num_predict": 120,
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+ },
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+ }
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+
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+ try:
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+ response = await http_client.post(
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+ settings.ollama_chat_url,
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+ json=payload,
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+ headers=_headers(settings),
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+ timeout=float(settings.ollama_timeout_seconds),
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+ )
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+ if not response.is_success:
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+ return {
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+ "ok": False,
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+ "source": "ollama",
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+ "status_code": response.status_code,
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+ "error": response.text[:500],
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+ }
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+ data = response.json()
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+ content = data.get("message", {}).get("content") or data.get("response") or ""
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+ content = str(content).strip()
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+ if not content:
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+ return {"ok": False, "source": "ollama", "error": "empty Ollama response"}
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+ return {
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+ "ok": True,
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+ "source": "ollama",
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+ "model": settings.ollama_model,
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+ "content": content[:700],
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+ }
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+ except Exception as exc: # noqa: BLE001
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+ logger.error("Ollama fallback failed: %s", exc)
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+ return {"ok": False, "source": "ollama", "exception": str(exc)[:500]}
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+
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+
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+ def diagnostics(settings: Settings) -> dict[str, Any]:
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+ return {
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+ "enabled": enabled(settings),
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+ "configured": bool(settings.ollama_chat_url),
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+ "chat_url_set": bool(settings.ollama_chat_url),
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+ "model": settings.ollama_model,
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+ "auth_token_set": bool(settings.ollama_auth_token),
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+ "timeout_seconds": settings.ollama_timeout_seconds,
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+ }