| """LLM / embedding provider configuration for students without local models.
|
|
|
| Resolution order: CLI args > environment variables > config/llm.json > built-in presets.
|
|
|
| Copy `config.example.json` to `config/llm.json` and fill in your key, or just export env vars.
|
| """
|
|
|
| import json
|
| import os
|
| import urllib.error
|
| import urllib.request
|
| from pathlib import Path
|
|
|
| ROOT = Path(__file__).resolve().parent.parent
|
|
|
|
|
| PRESETS = {
|
| "deepseek": {
|
| "base_url": "https://api.deepseek.com/v1",
|
| "model": "deepseek-chat",
|
| "embedding_model": None,
|
| },
|
| "siliconflow": {
|
| "base_url": "https://api.siliconflow.cn/v1",
|
| "model": "deepseek-ai/DeepSeek-V3",
|
| "embedding_model": "BAAI/bge-m3",
|
| },
|
| "moonshot": {
|
| "base_url": "https://api.moonshot.cn/v1",
|
| "model": "moonshot-v1-8k",
|
| "embedding_model": None,
|
| },
|
| "zhipu": {
|
| "base_url": "https://open.bigmodel.cn/api/paas/v4",
|
| "model": "glm-4-flash",
|
| "embedding_model": "embedding-3",
|
| },
|
| "qwen": {
|
| "base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
|
| "model": "qwen-plus",
|
| "embedding_model": "text-embedding-v3",
|
| },
|
| "volcengine": {
|
| "base_url": "https://ark.cn-beijing.volces.com/api/v3",
|
| "model": "<your-endpoint-id>",
|
| "embedding_model": None,
|
| },
|
| "openai": {
|
| "base_url": "https://api.openai.com/v1",
|
| "model": "gpt-4o-mini",
|
| "embedding_model": "text-embedding-3-small",
|
| },
|
| "ollama": {
|
| "base_url": "http://localhost:11434/v1",
|
| "model": "qwen2.5:7b",
|
| "embedding_model": "bge-m3",
|
| },
|
| }
|
|
|
|
|
| def load_config():
|
| p = ROOT / "config" / "llm.json"
|
| if p.exists():
|
| try:
|
| return json.loads(p.read_text(encoding="utf-8"))
|
| except Exception:
|
| return {}
|
| return {}
|
|
|
|
|
| def available_presets():
|
| return sorted(PRESETS)
|
|
|
|
|
| def resolve_llm(provider=None, base_url=None, api_key=None, model=None):
|
| cfg = load_config()
|
| name = provider or os.environ.get("LLM_PROVIDER") or cfg.get("provider")
|
| preset = PRESETS.get(name, {}) if name else {}
|
| merged = {**preset, **(cfg.get("llm") or {})}
|
| return {
|
| "provider": name,
|
| "base_url": (
|
| base_url or os.environ.get("OPENAI_BASE_URL") or merged.get("base_url") or "https://api.openai.com/v1"
|
| ).rstrip("/"),
|
| "api_key": api_key or os.environ.get("OPENAI_API_KEY") or merged.get("api_key") or "",
|
| "model": model or os.environ.get("OPENAI_MODEL") or merged.get("model") or "gpt-4o-mini",
|
| }
|
|
|
|
|
| def resolve_embedding(provider=None, base_url=None, api_key=None, model=None):
|
| cfg = load_config()
|
| name = provider or os.environ.get("EMBEDDING_PROVIDER") or cfg.get("provider")
|
| preset = PRESETS.get(name, {}) if name else {}
|
| merged = {**preset, **(cfg.get("embedding") or {})}
|
| return {
|
| "provider": name,
|
| "base_url": (
|
| base_url or os.environ.get("EMBEDDING_BASE_URL") or merged.get("base_url") or "https://api.openai.com/v1"
|
| ).rstrip("/"),
|
| "api_key": api_key or os.environ.get("EMBEDDING_API_KEY") or os.environ.get("OPENAI_API_KEY") or merged.get("api_key") or "",
|
| "model": model or os.environ.get("EMBEDDING_MODEL") or merged.get("embedding_model") or "text-embedding-3-small",
|
| }
|
|
|
|
|
| def chat(messages, temperature=0.2, timeout=180, provider=None, base_url=None, api_key=None, model=None):
|
| """Call any OpenAI-compatible /chat/completions endpoint."""
|
| conf = resolve_llm(provider, base_url, api_key, model)
|
| if not conf["api_key"]:
|
| raise RuntimeError(
|
| "未配置 API Key。请设置 OPENAI_API_KEY 环境变量，或把 config.example.json 复制为 config/llm.json 并填入 key。"
|
| )
|
| body = {"model": conf["model"], "messages": messages, "temperature": temperature}
|
| req = urllib.request.Request(
|
| f"{conf['base_url']}/chat/completions",
|
| data=json.dumps(body).encode("utf-8"),
|
| headers={"Content-Type": "application/json", "Authorization": f"Bearer {conf['api_key']}"},
|
| )
|
| with urllib.request.urlopen(req, timeout=timeout) as resp:
|
| data = json.loads(resp.read().decode("utf-8"))
|
| return data["choices"][0]["message"]["content"], conf
|
|
|
|
|
| def http_error_hint(exc):
|
| if isinstance(exc, urllib.error.HTTPError):
|
| try:
|
| detail = exc.read().decode("utf-8")[:300]
|
| except Exception:
|
| detail = ""
|
| return f"HTTP {exc.code}: {detail or exc.reason}"
|
| return str(exc)
|
|
|
