saksham
1a4c80958f
FastAPI + Celery + Next.js + Postgres/Redis app with company monitoring, source collection, LLM-based change analysis, enrichment, and account security (Turnstile, escalating lockout, email verification).
86 lines
3.2 KiB
Python
86 lines
3.2 KiB
Python
"""Ollama provider: local models via Ollama's HTTP API. Uses JSON mode
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(`format: "json"`) plus a bounded repair loop, since not every locally-run
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model supports strict schema-constrained decoding the way Anthropic's
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tool-use does - the schema is instead embedded in the system prompt as an
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instruction.
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"""
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from __future__ import annotations
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import json
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import httpx
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from pydantic import BaseModel, ValidationError
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from app.analysis.llm.base import LLMResponseError
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from app.core.config import Settings
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class OllamaLLMProvider:
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provider_name = "ollama"
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def __init__(self, settings: Settings) -> None:
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self._settings = settings
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async def generate_structured[T: BaseModel](
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self, system_prompt: str, user_prompt: str, response_model: type[T]
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) -> T:
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schema_instructions = (
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f"{system_prompt}\n\nRespond with ONLY a single JSON object matching this JSON "
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f"schema, no other text, no markdown fences:\n"
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f"{json.dumps(response_model.model_json_schema())}"
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)
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last_error: Exception | None = None
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prompt = user_prompt
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for attempt in range(self._settings.llm_max_retries + 1):
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if attempt > 0 and last_error is not None:
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prompt = (
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f"{user_prompt}\n\nYour previous response was invalid: {last_error}. "
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"Try again, returning ONLY valid JSON matching the schema."
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)
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async with httpx.AsyncClient(timeout=120) as client:
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response = await client.post(
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f"{self._settings.ollama_base_url}/api/chat",
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json={
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"model": self._settings.ollama_model,
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"messages": [
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{"role": "system", "content": schema_instructions},
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{"role": "user", "content": prompt},
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],
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"format": "json",
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"stream": False,
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},
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)
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response.raise_for_status()
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content = response.json().get("message", {}).get("content", "")
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try:
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data = json.loads(content)
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return response_model.model_validate(data)
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except (json.JSONDecodeError, ValidationError) as exc:
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last_error = exc
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continue
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raise LLMResponseError(
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f"Ollama provider failed to produce a valid {response_model.__name__} after "
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f"{self._settings.llm_max_retries + 1} attempt(s): {last_error}"
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)
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async def generate_text(self, system_prompt: str, user_prompt: str) -> str:
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async with httpx.AsyncClient(timeout=120) as client:
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response = await client.post(
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f"{self._settings.ollama_base_url}/api/chat",
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json={
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"model": self._settings.ollama_model,
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"messages": [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_prompt},
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],
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"stream": False,
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},
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)
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response.raise_for_status()
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return response.json().get("message", {}).get("content", "")
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