mirror of
https://github.com/R0m1k3/Loki.git
synced 2026-10-14 10:48:35 +02:00
- config.py : overrides GPU_VRAM_MB / GPU_NAME - ollama_client.py : méthode show() (/api/show) - autotune.py : détection GPU (nvidia-smi/rocm-smi/env), profil modèle et calcul du num_ctx optimal via estimation du cache KV Module isolé, pas encore exposé via route ni UI (sans impact sur l'app). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01SVay7z3y7q2gEe54ByAE6N
81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
"""Client HTTP léger pour l'API Ollama.
|
|
|
|
On utilise httpx directement (plutôt que le SDK) pour garder le contrôle
|
|
total sur le streaming et n'embarquer aucune dépendance superflue.
|
|
"""
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
from typing import AsyncIterator
|
|
|
|
import httpx
|
|
|
|
from .config import settings
|
|
|
|
|
|
class OllamaClient:
|
|
"""Enveloppe asynchrone autour de l'API REST d'Ollama."""
|
|
|
|
def __init__(self, host: str | None = None) -> None:
|
|
self.host = (host or settings.ollama_host).rstrip("/")
|
|
|
|
async def ping(self) -> dict:
|
|
"""Vérifie la connexion et renvoie la version d'Ollama."""
|
|
async with httpx.AsyncClient(timeout=5.0) as client:
|
|
resp = await client.get(f"{self.host}/api/version")
|
|
resp.raise_for_status()
|
|
return resp.json()
|
|
|
|
async def list_models(self) -> list[dict]:
|
|
"""Liste les modèles installés localement (/api/tags)."""
|
|
async with httpx.AsyncClient(timeout=10.0) as client:
|
|
resp = await client.get(f"{self.host}/api/tags")
|
|
resp.raise_for_status()
|
|
return resp.json().get("models", [])
|
|
|
|
async def show(self, name: str) -> dict:
|
|
"""Métadonnées détaillées d'un modèle (/api/show)."""
|
|
async with httpx.AsyncClient(timeout=15.0) as client:
|
|
resp = await client.post(f"{self.host}/api/show", json={"name": name})
|
|
resp.raise_for_status()
|
|
return resp.json()
|
|
|
|
async def pull_model(self, name: str) -> AsyncIterator[dict]:
|
|
"""Télécharge un modèle en streamant la progression (/api/pull)."""
|
|
async with httpx.AsyncClient(timeout=None) as client:
|
|
async with client.stream(
|
|
"POST", f"{self.host}/api/pull", json={"name": name}
|
|
) as resp:
|
|
resp.raise_for_status()
|
|
async for line in resp.aiter_lines():
|
|
if line.strip():
|
|
yield json.loads(line)
|
|
|
|
async def chat(
|
|
self,
|
|
model: str,
|
|
messages: list[dict],
|
|
*,
|
|
tools: list[dict] | None = None,
|
|
options: dict | None = None,
|
|
stream: bool = True,
|
|
) -> AsyncIterator[dict]:
|
|
"""Conversation avec le modèle, en streaming token par token."""
|
|
payload: dict = {"model": model, "messages": messages, "stream": stream}
|
|
if tools:
|
|
payload["tools"] = tools
|
|
if options:
|
|
payload["options"] = options
|
|
|
|
async with httpx.AsyncClient(timeout=None) as client:
|
|
async with client.stream(
|
|
"POST", f"{self.host}/api/chat", json=payload
|
|
) as resp:
|
|
resp.raise_for_status()
|
|
async for line in resp.aiter_lines():
|
|
if line.strip():
|
|
yield json.loads(line)
|
|
|
|
|
|
ollama = OllamaClient()
|