From 9ba50337e81971de1b68212fba6a9ce4d00a69b2 Mon Sep 17 00:00:00 2001 From: Saurabh Date: Wed, 26 Aug 2026 13:21:15 -0700 Subject: [PATCH 1/2] Added llm proxy --- llm_proxy/README.md | 93 +++++++++++++++++++++++++++++++ llm_proxy/__init__.py | 14 +++++ llm_proxy/__main__.py | 29 ++++++++++ llm_proxy/app.py | 42 ++++++++++++++ llm_proxy/config.py | 61 ++++++++++++++++++++ llm_proxy/core.py | 43 ++++++++++++++ llm_proxy/hooks.py | 49 ++++++++++++++++ llm_proxy/providers/__init__.py | 14 +++++ llm_proxy/providers/anthropic.py | 19 +++++++ llm_proxy/providers/base.py | 96 ++++++++++++++++++++++++++++++++ llm_proxy/providers/bedrock.py | 78 ++++++++++++++++++++++++++ llm_proxy/providers/openai.py | 18 ++++++ llm_proxy/requirements.txt | 3 + 13 files changed, 559 insertions(+) create mode 100644 llm_proxy/README.md create mode 100644 llm_proxy/__init__.py create mode 100644 llm_proxy/__main__.py create mode 100644 llm_proxy/app.py create mode 100644 llm_proxy/config.py create mode 100644 llm_proxy/core.py create mode 100644 llm_proxy/hooks.py create mode 100644 llm_proxy/providers/__init__.py create mode 100644 llm_proxy/providers/anthropic.py create mode 100644 llm_proxy/providers/base.py create mode 100644 llm_proxy/providers/bedrock.py create mode 100644 llm_proxy/providers/openai.py create mode 100644 llm_proxy/requirements.txt diff --git a/llm_proxy/README.md b/llm_proxy/README.md new file mode 100644 index 0000000..2b8ca50 --- /dev/null +++ b/llm_proxy/README.md @@ -0,0 +1,93 @@ +# llm_proxy + +A local, single-machine pass-through proxy for **OpenAI**, **Anthropic**, and +**Bedrock**. Callers keep their exact SDK calling convention — the only change is +one base-URL env var per provider. Every call flows through one function +(`core.proxy_request`) where token/metrics hooks fire. + +**Scope:** request/response ("call and return") only. Streaming is intentionally +not implemented yet. + +## How it works + +``` +your app (unchanged) localhost:8080 real upstream + openai SDK ─/openai/... ─┐ + anthropic SDK ─/anthropic/ ─┼─▶ proxy_request(ctx) ─▶ provider ─▶ api.openai.com + boto3 bedrock ─/bedrock/... ┘ (metrics hooks) adapter api.anthropic.com + bedrock-runtime..amazonaws.com +``` + +- **OpenAI / Anthropic** — straight HTTP reverse-proxy: rewrite host, swap in the + real key, forward with `requests`, return the response. +- **Bedrock** — re-issued through the proxy's own `boto3` client (handles SigV4 + signing + URL-encoding correctly). Only `invoke` is wired up. + +## Run + +```bash +pip install -r llm_proxy/requirements.txt + +# real upstream credentials live here; callers can use dummy keys +export OPENAI_API_KEY=sk-... +export ANTHROPIC_API_KEY=sk-ant-... +export AWS_REGION=us-east-1 # + normal AWS creds (env / ~/.aws / role) + +python -m llm_proxy # listens on 127.0.0.1:8080 +``` + +## Point your SDKs at it + +No code changes — just env vars: + +```bash +export OPENAI_BASE_URL=http://localhost:8080/openai/v1 +export ANTHROPIC_BASE_URL=http://localhost:8080/anthropic +export AWS_ENDPOINT_URL_BEDROCK_RUNTIME=http://localhost:8080/bedrock +``` + +Then your existing code works unchanged: + +```python +from openai import OpenAI +OpenAI().chat.completions.create(model="gpt-4o-mini", + messages=[{"role": "user", "content": "hi"}]) + +from anthropic import Anthropic +Anthropic().messages.create(model="claude-3-5-sonnet-20241022", max_tokens=64, + messages=[{"role": "user", "content": "hi"}]) + +import boto3, json +boto3.client("bedrock-runtime").invoke_model( + modelId="anthropic.claude-3-5-sonnet-20240620-v1:0", + body=json.dumps({"anthropic_version": "bedrock-2023-05-31", + "max_tokens": 64, + "messages": [{"role": "user", "content": "hi"}]})) +``` + +## Configuration (env vars) + +| Var | Default | Purpose | +|---|---|---| +| `PROXY_HOST` / `PROXY_PORT` | `127.0.0.1` / `8080` | where the proxy listens | +| `PROXY_CONNECT_TIMEOUT` / `PROXY_READ_TIMEOUT` | `10` / `600` | upstream timeouts (s) | +| `OPENAI_API_KEY` / `ANTHROPIC_API_KEY` | — | real upstream keys the proxy injects | +| `OPENAI_UPSTREAM_BASE` / `ANTHROPIC_UPSTREAM_BASE` | official APIs | override upstream (e.g. Azure/gateway) | +| `BEDROCK_REGION` (or `AWS_REGION`) | `us-east-1` | Bedrock region | +| `BEDROCK_UPSTREAM_HOST` | `bedrock-runtime..amazonaws.com` | override Bedrock host | + +## The metrics seam + +`hooks.py` defines `on_request` / `on_response`; today they only log. Because the +whole response is buffered, token accounting is a one-liner later — +`resp.json().get("usage")` for OpenAI/Anthropic, or the per-model field in +Bedrock's response body. + +## Known limitations (current scope) + +- **No streaming.** `stream=True` / `invoke-with-response-stream` are not handled. +- **Bedrock error bodies are reconstructed**, not passed through byte-for-byte + (boto3 raises on 4xx/5xx; we rebuild a JSON body with the real status + + message). OpenAI/Anthropic errors pass through unchanged. +- **Dev server.** Runs on Flask's built-in server — fine for a local proxy, not + meant for production traffic. diff --git a/llm_proxy/__init__.py b/llm_proxy/__init__.py new file mode 100644 index 0000000..827377e --- /dev/null +++ b/llm_proxy/__init__.py @@ -0,0 +1,14 @@ +"""Local LLM proxy. + +A transparent, single-machine pass-through for OpenAI, Anthropic, and Bedrock. +Point each provider's SDK at this service via its base-URL env var and calls flow +through one choke point (``llm_proxy.core.proxy_request``) where request/response +metrics hooks fire. + +Scope: request/response ("call and return") only. Streaming is intentionally +not implemented yet. +""" + +__all__ = ["__version__"] + +__version__ = "0.1.0" diff --git a/llm_proxy/__main__.py b/llm_proxy/__main__.py new file mode 100644 index 0000000..621c37e --- /dev/null +++ b/llm_proxy/__main__.py @@ -0,0 +1,29 @@ +"""Entry point: ``python -m llm_proxy``.""" + +from __future__ import annotations + +import logging + +from llm_proxy.app import create_app +from llm_proxy.config import Config + + +def main() -> None: + logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(name)s: %(message)s", + ) + cfg = Config.from_env() + app = create_app(cfg) + logging.getLogger("llm_proxy").info( + "llm_proxy on http://%s:%d (openai=%s, anthropic=%s, bedrock=%s [%s])", + cfg.host, cfg.port, cfg.openai.upstream_base, cfg.anthropic.upstream_base, + cfg.bedrock_upstream_host, cfg.bedrock_region, + ) + # threaded so concurrent callers don't serialize; dev server is fine for a + # local proxy. + app.run(host=cfg.host, port=cfg.port, threaded=True) + + +if __name__ == "__main__": + main() diff --git a/llm_proxy/app.py b/llm_proxy/app.py new file mode 100644 index 0000000..ff32737 --- /dev/null +++ b/llm_proxy/app.py @@ -0,0 +1,42 @@ +"""Flask app: one catch-all route per provider prefix, all funneled through +``proxy_request``.""" + +from __future__ import annotations + +import logging + +from flask import Flask, jsonify, request + +from llm_proxy.config import Config +from llm_proxy.core import proxy_request +from llm_proxy.providers import build_registry + +log = logging.getLogger("llm_proxy") + +ALL_METHODS = ["GET", "POST", "PUT", "PATCH", "DELETE"] + + +def create_app(cfg: Config = None) -> Flask: + cfg = cfg or Config.from_env() + app = Flask(__name__) + registry = build_registry(cfg) + + @app.route("/healthz", methods=["GET"]) + def healthz(): + return jsonify(status="ok", providers=sorted(registry.keys())) + + @app.route("//", methods=ALL_METHODS) + def dispatch(provider, subpath): + prov = registry.get(provider) + if prov is None: + return ( + jsonify(error=f"unknown provider '{provider}'", known=sorted(registry.keys())), + 404, + ) + try: + return proxy_request(prov, subpath, request) + except Exception as exc: # surface upstream/adapter errors as 502 + log.exception("proxy error for %s/%s", provider, subpath) + return jsonify(error="proxy_error", detail=str(exc)), 502 + + return app diff --git a/llm_proxy/config.py b/llm_proxy/config.py new file mode 100644 index 0000000..9925e92 --- /dev/null +++ b/llm_proxy/config.py @@ -0,0 +1,61 @@ +"""Configuration, read once from the environment at startup. + +The proxy holds the *real* upstream credentials; callers can send dummy keys. +""" + +from __future__ import annotations + +import os +from dataclasses import dataclass +from typing import Optional + + +@dataclass +class ProviderConfig: + upstream_base: str + api_key: Optional[str] = None + + +@dataclass +class Config: + host: str + port: int + connect_timeout: float + read_timeout: float + + openai: ProviderConfig + anthropic: ProviderConfig + + bedrock_region: str + bedrock_upstream_host: str + + @classmethod + def from_env(cls) -> "Config": + region = ( + os.getenv("BEDROCK_REGION") + or os.getenv("AWS_REGION") + or os.getenv("AWS_DEFAULT_REGION") + or "us-east-1" + ) + return cls( + host=os.getenv("PROXY_HOST", "127.0.0.1"), + port=int(os.getenv("PROXY_PORT", "8080")), + connect_timeout=float(os.getenv("PROXY_CONNECT_TIMEOUT", "10")), + read_timeout=float(os.getenv("PROXY_READ_TIMEOUT", "600")), + openai=ProviderConfig( + upstream_base=os.getenv( + "OPENAI_UPSTREAM_BASE", "https://api.openai.com" + ).rstrip("/"), + api_key=os.getenv("OPENAI_API_KEY"), + ), + anthropic=ProviderConfig( + upstream_base=os.getenv( + "ANTHROPIC_UPSTREAM_BASE", "https://api.anthropic.com" + ).rstrip("/"), + api_key=os.getenv("ANTHROPIC_API_KEY"), + ), + bedrock_region=region, + bedrock_upstream_host=os.getenv( + "BEDROCK_UPSTREAM_HOST", f"bedrock-runtime.{region}.amazonaws.com" + ), + ) diff --git a/llm_proxy/core.py b/llm_proxy/core.py new file mode 100644 index 0000000..4d1f608 --- /dev/null +++ b/llm_proxy/core.py @@ -0,0 +1,43 @@ +"""The single choke point every proxied call flows through.""" + +from __future__ import annotations + +import json +import time +from typing import Optional + +from flask import Response + +from llm_proxy.hooks import Ctx, hooks + + +def _guess_model(body: bytes) -> Optional[str]: + """Best-effort model name from the JSON body, for logging/metrics. + + Never raises. Returns None for requests whose model isn't in the body + (e.g. Bedrock, where it's in the path and already shown via the subpath). + """ + try: + model = json.loads(body).get("model") + return model if isinstance(model, str) else None + except Exception: + return None + + +def proxy_request(provider, subpath, flask_request): + body = flask_request.get_data() + ctx = Ctx( + provider=provider.name, + method=flask_request.method, + subpath=subpath, + body=body, + headers=dict(flask_request.headers), + t0=time.monotonic(), + model=_guess_model(body), + ) + hooks.on_request(ctx) + + pr = provider.forward(flask_request, subpath, body) + + hooks.on_response(ctx, pr) + return Response(pr.content, status=pr.status, headers=pr.headers) diff --git a/llm_proxy/hooks.py b/llm_proxy/hooks.py new file mode 100644 index 0000000..37f9b3b --- /dev/null +++ b/llm_proxy/hooks.py @@ -0,0 +1,49 @@ +"""The metrics seam. + +Every proxied call passes through ``on_request`` / ``on_response``. Today these +only log. Token accounting lands here later: because the whole response is +buffered, usage extraction is a one-liner, e.g. ``resp.json().get("usage")`` for +OpenAI/Anthropic (Bedrock's usage lives in its per-model response body). +""" + +from __future__ import annotations + +import logging +import time +from dataclasses import dataclass +from typing import Any, Dict, Optional + +log = logging.getLogger("llm_proxy") + + +@dataclass +class Ctx: + provider: str + method: str + subpath: str + body: bytes + headers: Dict[str, str] + t0: float + model: Optional[str] = None + + def elapsed_ms(self) -> float: + return (time.monotonic() - self.t0) * 1000.0 + + +class Hooks: + def on_request(self, ctx: Ctx) -> None: + log.info( + "→ %s %s /%s model=%s (%d bytes)", + ctx.provider, ctx.method, ctx.subpath, ctx.model, len(ctx.body), + ) + + def on_response(self, ctx: Ctx, resp: Any) -> None: + log.info( + "← %s %s /%s -> %s in %.0fms", + ctx.provider, ctx.method, ctx.subpath, + getattr(resp, "status", "?"), ctx.elapsed_ms(), + ) + # TODO(metrics): pull token usage off `resp` and emit it. + + +hooks = Hooks() diff --git a/llm_proxy/providers/__init__.py b/llm_proxy/providers/__init__.py new file mode 100644 index 0000000..02f2a77 --- /dev/null +++ b/llm_proxy/providers/__init__.py @@ -0,0 +1,14 @@ +from __future__ import annotations + +from llm_proxy.providers.anthropic import AnthropicProvider +from llm_proxy.providers.bedrock import BedrockProvider +from llm_proxy.providers.openai import OpenAIProvider + + +def build_registry(cfg): + """Map the URL prefix -> provider instance.""" + return { + "openai": OpenAIProvider(cfg), + "anthropic": AnthropicProvider(cfg), + "bedrock": BedrockProvider(cfg), + } diff --git a/llm_proxy/providers/anthropic.py b/llm_proxy/providers/anthropic.py new file mode 100644 index 0000000..3c765bd --- /dev/null +++ b/llm_proxy/providers/anthropic.py @@ -0,0 +1,19 @@ +from __future__ import annotations + +from llm_proxy.providers.base import HttpProvider, UpstreamRequest, client_headers + + +class AnthropicProvider(HttpProvider): + name = "anthropic" + + def target(self, req, subpath, body): + headers = client_headers(req, drop=["x-api-key", "authorization"]) + if self.cfg.anthropic.api_key: + headers["x-api-key"] = self.cfg.anthropic.api_key + # `anthropic-version` is supplied by the SDK and passes through untouched. + return UpstreamRequest( + method=req.method, + url=f"{self.cfg.anthropic.upstream_base}/{subpath}", + headers=headers, + params=req.args.to_dict(flat=True), + ) diff --git a/llm_proxy/providers/base.py b/llm_proxy/providers/base.py new file mode 100644 index 0000000..ef5db41 --- /dev/null +++ b/llm_proxy/providers/base.py @@ -0,0 +1,96 @@ +"""Provider abstraction and shared HTTP plumbing. + +A provider's only job is to take the incoming request and produce a +``ProxyResponse``. Straight HTTP reverse-proxy providers (OpenAI, Anthropic) +subclass ``HttpProvider`` and just describe the upstream target; Bedrock owns +its own ``forward`` because it re-issues through boto3. +""" + +from __future__ import annotations + +import json +from dataclasses import dataclass, field +from typing import Dict, Iterable, List, Tuple + +import requests + +# Request headers we never forward: hop-by-hop (RFC 7230), ones we rewrite, and +# accept-encoding (we let the HTTP client negotiate + decode, then re-frame the +# response ourselves). +DROP_REQUEST_HEADERS = { + "connection", "keep-alive", "proxy-authenticate", "proxy-authorization", + "te", "trailers", "transfer-encoding", "upgrade", + "host", "content-length", "accept-encoding", +} + +# Response headers we drop: we return already-decoded content and let the WSGI +# layer recompute framing headers. +DROP_RESPONSE_HEADERS = { + "content-encoding", "content-length", "transfer-encoding", + "connection", "keep-alive", +} + + +@dataclass +class UpstreamRequest: + method: str + url: str + headers: Dict[str, str] + params: Dict[str, str] = field(default_factory=dict) + + +@dataclass +class ProxyResponse: + status: int + headers: List[Tuple[str, str]] + content: bytes + + def json(self): + return json.loads(self.content.decode("utf-8")) + + +def client_headers(incoming, drop: Iterable[str] = ()) -> Dict[str, str]: + """Copy the caller's headers minus the ones we must not forward.""" + extra = {d.lower() for d in drop} + return { + k: v + for k, v in incoming.headers.items() + if k.lower() not in DROP_REQUEST_HEADERS and k.lower() not in extra + } + + +def filter_response_headers(headers) -> List[Tuple[str, str]]: + return [(k, v) for k, v in headers.items() if k.lower() not in DROP_RESPONSE_HEADERS] + + +class Provider: + name = "base" + + def __init__(self, cfg): + self.cfg = cfg + + def forward(self, req, subpath: str, body: bytes) -> ProxyResponse: + raise NotImplementedError + + +class HttpProvider(Provider): + """Providers that are a straight HTTP reverse-proxy (OpenAI, Anthropic).""" + + def target(self, req, subpath: str, body: bytes) -> UpstreamRequest: + raise NotImplementedError + + def forward(self, req, subpath, body): + up = self.target(req, subpath, body) + resp = requests.request( + up.method, + up.url, + headers=up.headers, + params=up.params, + data=body, + timeout=(self.cfg.connect_timeout, self.cfg.read_timeout), + ) + return ProxyResponse( + status=resp.status_code, + headers=filter_response_headers(resp.headers), + content=resp.content, + ) diff --git a/llm_proxy/providers/bedrock.py b/llm_proxy/providers/bedrock.py new file mode 100644 index 0000000..c985d26 --- /dev/null +++ b/llm_proxy/providers/bedrock.py @@ -0,0 +1,78 @@ +"""Bedrock adapter. + +Rather than re-sign the caller's SigV4 request (fiddly once model IDs contain +``:`` and ``/``), we re-issue the call through the proxy's own boto3 client, +which handles signing and URL-encoding correctly by construction. This is clean +for request/response; streaming (``invoke-with-response-stream``) is out of scope +for now. +""" + +from __future__ import annotations + +import json + +import boto3 +from botocore.exceptions import ClientError + +from llm_proxy.providers.base import Provider, ProxyResponse + +# bedrock-runtime operations that can appear as the last path segment; only the +# non-streaming "invoke" is wired up for now. +_SUPPORTED_OPS = {"invoke", "invoke-with-response-stream", "converse", "converse-stream"} + + +class BedrockProvider(Provider): + name = "bedrock" + + def __init__(self, cfg): + super().__init__(cfg) + self._client = boto3.client("bedrock-runtime", region_name=cfg.bedrock_region) + + def forward(self, req, subpath, body): + model_id, op = self._parse(subpath) + if op != "invoke": + raise NotImplementedError( + f"bedrock op '{op}' not supported yet (streaming/converse are out of scope)" + ) + try: + resp = self._client.invoke_model( + modelId=model_id, + body=body, + contentType=req.headers.get("Content-Type", "application/json"), + accept=req.headers.get("Accept", "application/json"), + ) + except ClientError as exc: + return self._error_response(exc) + + payload = resp["body"].read() + status = resp.get("ResponseMetadata", {}).get("HTTPStatusCode", 200) + headers = [("Content-Type", resp.get("contentType", "application/json"))] + return ProxyResponse(status=status, headers=headers, content=payload) + + @staticmethod + def _parse(subpath): + # subpath looks like "model//"; the modelId may itself + # contain "/" (inference-profile ARNs), so peel the op off the right. + if not subpath.startswith("model/"): + raise ValueError(f"unrecognized bedrock path: /{subpath}") + model_id, sep, op = subpath[len("model/"):].rpartition("/") + if not sep or op not in _SUPPORTED_OPS: + raise ValueError(f"unrecognized bedrock path: /{subpath}") + return model_id, op + + @staticmethod + def _error_response(exc: ClientError) -> ProxyResponse: + # boto3 raises on 4xx/5xx; reconstruct a JSON error body carrying the + # real status + message. (Byte-for-byte error passthrough is a property + # only the HTTP providers have; this is the cost of re-issuing via boto3.) + meta = exc.response.get("ResponseMetadata", {}) + err = exc.response.get("Error", {}) + status = meta.get("HTTPStatusCode", 500) + body = json.dumps( + {"message": err.get("Message", str(exc)), "code": err.get("Code")} + ).encode("utf-8") + return ProxyResponse( + status=status, + headers=[("Content-Type", "application/json")], + content=body, + ) diff --git a/llm_proxy/providers/openai.py b/llm_proxy/providers/openai.py new file mode 100644 index 0000000..ed7f08d --- /dev/null +++ b/llm_proxy/providers/openai.py @@ -0,0 +1,18 @@ +from __future__ import annotations + +from llm_proxy.providers.base import HttpProvider, UpstreamRequest, client_headers + + +class OpenAIProvider(HttpProvider): + name = "openai" + + def target(self, req, subpath, body): + headers = client_headers(req, drop=["authorization"]) + if self.cfg.openai.api_key: + headers["Authorization"] = f"Bearer {self.cfg.openai.api_key}" + return UpstreamRequest( + method=req.method, + url=f"{self.cfg.openai.upstream_base}/{subpath}", + headers=headers, + params=req.args.to_dict(flat=True), + ) diff --git a/llm_proxy/requirements.txt b/llm_proxy/requirements.txt new file mode 100644 index 0000000..2f7091c --- /dev/null +++ b/llm_proxy/requirements.txt @@ -0,0 +1,3 @@ +flask>=2.0 +requests>=2.28 +boto3>=1.28 From 793d607e6d678b56b6e44d72dfacdfaaca1503ea Mon Sep 17 00:00:00 2001 From: Nick Huo Date: Tue, 1 Sep 2026 14:03:20 -0700 Subject: [PATCH 2/2] Make pip install -e ventis cover llm_proxy's dependencies --- pyproject.toml | 1 + requirements.txt | 1 + uv.lock | 198 +++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 200 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 2efc1ab..1d05754 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,6 +13,7 @@ dependencies = [ "pyyaml", "flask", "psutil", + "requests", ] [project.scripts] diff --git 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