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Download service/backend.py from Angshul/ClosedForm-Agentic-RAG: direct link, hf CLI and curl.
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- Download file 4.16 kB
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https://huggingface.co/spaces/Angshul/ClosedForm-Agentic-RAG/resolve/main/service/backend.py
- Command line
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hf download hf://spaces/Angshul/ClosedForm-Agentic-RAG/service/backend.py
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curl -L -o backend.py https://huggingface.co/spaces/Angshul/ClosedForm-Agentic-RAG/resolve/main/service/backend.py
4.16 kB
| from __future__ import annotations | |
| import asyncio | |
| import time | |
| from dataclasses import dataclass | |
| from typing import Any | |
| import httpx | |
| from .config import Model | |
| class UpstreamError(RuntimeError): | |
| pass | |
| class ChatResult: | |
| text: str | |
| prompt_tokens: int | |
| output_tokens: int | |
| elapsed_ms: float | |
| price_usd: float | None | |
| usage_source: str | |
| class RemoteClient: | |
| def __init__(self, timeout_sec: float = 90.0, max_connections: int = 128, | |
| transport: httpx.AsyncBaseTransport | None = None): | |
| self.http = httpx.AsyncClient(timeout=timeout_sec, | |
| limits=httpx.Limits(max_connections=max_connections, max_keepalive_connections=min(max_connections,32)), | |
| transport=transport, follow_redirects=False) | |
| async def close(self) -> None: | |
| await self.http.aclose() | |
| async def chat(self, model: Model, messages: list[dict], max_tokens: int, timeout_sec: float) -> ChatResult: | |
| if max_tokens < 1: raise ValueError("max_tokens must be positive") | |
| headers={"content-type":"application/json"} | |
| if model.api_key:headers["authorization"]="Bearer "+model.api_key | |
| payload={"model":model.model_id,"messages":messages,"max_tokens":max_tokens,"temperature":0} | |
| began=time.perf_counter() | |
| try: | |
| response=await self.http.post(model.base_url + "/chat/completions",json=payload, | |
| headers=headers,timeout=max(.05,timeout_sec)) | |
| response.raise_for_status() | |
| parsed=response.json() | |
| content=parsed["choices"][0]["message"].get("content") | |
| if isinstance(content,list): | |
| content=" ".join(p.get("text","") for p in content if isinstance(p,dict)) | |
| if not isinstance(content,str): raise ValueError("No text content returned") | |
| usage=parsed.get("usage") or {} | |
| # Missing usage is reported as unknown, not silently replaced with a fictitious charge. | |
| pt=usage.get("prompt_tokens") | |
| ot=usage.get("completion_tokens") | |
| known=isinstance(pt,int) and isinstance(ot,int) | |
| price=(pt*model.price_input_per_1m+ot*model.price_output_per_1m)/1e6 if known and model.priced else None | |
| return ChatResult(content, int(pt) if known else 0,int(ot) if known else 0, | |
| (time.perf_counter()-began)*1000,price,"provider" if known else "missing") | |
| except (httpx.HTTPError, ValueError, KeyError, TypeError, IndexError) as e: | |
| raise UpstreamError(f"Model backend '{model.alias}' failed: {type(e).__name__}") from e | |
| async def retrieve(self, url: str, api_key: str, query: str, top_k: int, | |
| timeout_sec: float) -> list[dict[str,Any]]: | |
| if not url.startswith("https://") and not (url.startswith("http://") and __import__("os").getenv("ALLOW_HTTP_ENDPOINTS")=="1"): | |
| raise ValueError("Retriever URL must use https") | |
| headers={"content-type":"application/json"} | |
| if api_key:headers["authorization"]="Bearer "+api_key | |
| try: | |
| r=await self.http.post(url,json={"query":query,"top_k":top_k},headers=headers, | |
| timeout=max(.05,timeout_sec)) | |
| r.raise_for_status() | |
| raw=r.json() | |
| docs=raw["documents"] if isinstance(raw,dict) else raw | |
| if not isinstance(docs,list):raise ValueError("Retriever must return documents array") | |
| clean=[] | |
| for d in docs[:top_k]: | |
| if not isinstance(d,dict) or not isinstance(d.get("text"),str):continue | |
| score=d.get("score",0.0) | |
| clean.append({"id":str(d.get("id",len(clean)))[:100],"text":d["text"][:5000], | |
| "score":float(score) if isinstance(score,(int,float)) else 0.0, | |
| "title":str(d.get("title",""))[:180]}) | |
| return clean | |
| except (httpx.HTTPError, ValueError, KeyError, TypeError) as e: | |
| raise UpstreamError(f"Retriever backend failed: {type(e).__name__}") from e | |