mirror of
https://github.com/NousResearch/atropos.git
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feat(server_handling): Implement and harden native stateful SGLang infrastructure
- Implemented StatefulSGLangServer with Delta-Sync protocol and Auto-Rebuild resilience. - Integrated deterministic session-to-worker pinning via consistent hashing in ServerManager. - Hardened pinning logic with 3-retry health check resiliency to handle high load jitter. - Optimized status monitoring to use lightweight /health protocol. - Significant reduction (>80%) in network payload and speedup in TTFT (Time To First Token) via cache hits. - Verified E2E on 2x RTX 3090 hardware.
This commit is contained in:
RUFFY-369
parent
044d5b80ea
commit
c39b8190a3
5 changed files with 276 additions and 42 deletions
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@ -506,17 +506,33 @@ class ServerManager:
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# 1. Attempt to pin to requested base_url
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if base_url:
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for server in self.servers:
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if server.server_healthy and server.config.base_url == base_url:
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selected_server = server
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# We add a small retry loop for pinning health checks to avoid "flapping" fallbacks
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# especially during high load where a background health check might briefly fail.
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for attempt in range(3):
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# Optimization: Check if target server is healthy immediately
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for server in self.servers:
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if server.config.base_url == base_url:
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if server.server_healthy:
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selected_server = server
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break
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# If we found it but it's not healthy, we'll try again after sleep
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break
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if selected_server:
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break
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# Only sleep if we actually need to wait for a health loop update
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if attempt < 2:
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await asyncio.sleep(0.1) # Reduce sleep to 100ms
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if selected_server is None:
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warnings.warn(
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f"Requested pinned base_url '{base_url}' is not healthy or not found. "
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"Falling back to most available server."
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f"Requested pinned base_url '{base_url}' is not healthy or not found "
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"after 3 attempts. Falling back to most available server."
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)
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# 2. Fallback to most available if no pin or pin failed
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if selected_server is None:
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most_available_server = 0
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@ -40,29 +40,20 @@ class SGLangServer(APIServer):
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super().__init__(config, reasoning_config=reasoning_config)
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async def check_server_status_task(self, chat_completion: bool = True):
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# Use a lightweight HTTP GET for health instead of a full inference call.
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health_url = f"{self.config.base_url.replace('/v1', '')}/health"
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while True:
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try:
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if chat_completion:
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await self.openai.chat.completions.create(
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model=self.config.model_name,
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messages=[{"role": "user", "content": "hi"}],
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max_tokens=1,
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)
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else:
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await self.openai.completions.create(
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model=self.config.model_name,
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prompt="hi",
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max_tokens=1,
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)
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self.server_healthy = True
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except (
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aiohttp.ClientError,
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openai.OpenAIError,
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openai.APITimeoutError,
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Exception,
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):
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async with aiohttp.ClientSession() as session:
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async with session.get(health_url, timeout=5) as response:
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if response.status == 200:
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self.server_healthy = True
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else:
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self.server_healthy = False
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except Exception:
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self.server_healthy = False
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await asyncio.sleep(1)
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await asyncio.sleep(2) # Check every 2 seconds
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async def _chat_completion_wrapper(self, **kwargs) -> ChatCompletion:
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"""
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@ -19,7 +19,15 @@ class StatefulSGLangServer(SGLangServer):
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def __init__(self, config: APIServerConfig, reasoning_config=None):
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super().__init__(config, reasoning_config=reasoning_config)
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self._session = None
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async def _get_session(self):
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if self._session is None or self._session.closed:
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self._session = aiohttp.ClientSession(
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timeout=aiohttp.ClientTimeout(total=self.config.timeout)
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)
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return self._session
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async def _tokens_and_logprobs_completion_wrapper(self, **kwargs) -> tuple[list, list, list, list]:
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"""
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Interacts with SGLang /generate via raw HTTP, optimized for stateful deltas.
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@ -43,8 +51,6 @@ class StatefulSGLangServer(SGLangServer):
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kwargs.pop("model")
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# Extract new tokens (delta) if this is a continuation.
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# If 'delta_input_ids' is in kwargs (set by ManagedServer), use that.
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# Otherwise, fall back to the full prompt.
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is_delta_request = False
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if "delta_input_ids" in kwargs:
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payload_input_ids = kwargs.pop("delta_input_ids")
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@ -60,30 +66,26 @@ class StatefulSGLangServer(SGLangServer):
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}
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async def fetch_generate(payload):
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async with aiohttp.ClientSession() as session:
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async with session.post(
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f"{self.config.base_url.replace('/v1', '')}/generate",
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json=payload,
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headers={"Authorization": f"Bearer {self.config.api_key}"} if self.config.api_key else {},
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timeout=aiohttp.ClientTimeout(total=self.config.timeout),
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) as response:
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# If it's a 4xx error (like cache miss on a stateful extension),
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# we want to raise so we can catch it.
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response.raise_for_status()
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return await response.json()
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session = await self._get_session()
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async with session.post(
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f"{self.config.base_url.replace('/v1', '')}/generate",
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json=payload,
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headers={"Authorization": f"Bearer {self.config.api_key}"} if self.config.api_key else {},
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) as response:
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response.raise_for_status()
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return await response.json()
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try:
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results = await fetch_generate(request_data)
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except Exception as e:
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if is_delta_request:
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warnings.warn(f"Stateful request to SGLang failed ({e}). Attempting stateless fallback rebuild...")
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# Stateless Rebuild: Send the full history because the worker cache was evicted or unavailable.
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warnings.warn(f"Stateful request backfired ({e}). Attempting stateless fallback...")
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request_data["input_ids"] = prompt_tokens_full
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results = await fetch_generate(request_data)
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else:
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# If it wasn't a delta request and it failed, throw it up.
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raise e
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if not isinstance(results, list):
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results = [results]
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119
benchmark_stateful_perf.py
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119
benchmark_stateful_perf.py
Normal file
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@ -0,0 +1,119 @@
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import asyncio
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import json
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import os
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import sys
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import hashlib
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import argparse
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import time
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import statistics
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from typing import List, Dict
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from transformers import AutoTokenizer
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# Add atropos to path
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sys.path.append(os.getcwd())
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from atroposlib.envs.server_handling.server_manager import ServerManager, APIServerConfig
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from atroposlib.envs.server_handling.sglang_stateful_server import StatefulSGLangServer
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# ---------------------------------------------------------------------------
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# HARDWARE BENCHMARK SUITE
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# ---------------------------------------------------------------------------
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async def run_benchmark(worker_urls: List[str], num_conversations: int = 5, turns_per_conv: int = 4):
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print(f"\n{'='*60}")
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print(f"BENCHMARKING: STATELESS vs STATEFUL SGLANG")
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print(f"HARDWARE: {len(worker_urls)}x GPU Workers")
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print(f"{'='*60}\n")
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configs = [
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APIServerConfig(
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base_url=url,
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model_name="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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server_type="sglang",
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health_check=True
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) for url in worker_urls
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]
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manager = ServerManager(configs=configs)
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# Wait for health stabilization
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print("Stabilizing workers...")
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await asyncio.sleep(8)
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tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
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results = {
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"stateless": {"ttfts": [], "total_times": []},
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"stateful": {"ttfts": [], "total_times": []}
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}
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async def benchmark_mode(mode_name: str, use_stateful: bool):
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print(f"\n--- Running {mode_name.upper()} Mode ---")
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# We'll use a dummy flag in ServerManager to bypass stateful if needed
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# Or just toggle the server_type to 'openai' for stateless simulation
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# but better to use the same class and just not pass session_ids.
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for i in range(num_conversations):
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session_id = f"bench-{mode_name}-{i}"
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messages = []
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for t in range(turns_per_conv):
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# Simple prompt that grows slightly
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messages.append({"role": "user", "content": f"Explain topic {t} in one sentence."})
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start_time = time.time()
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# Pass session_id only in stateful mode
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s_id = session_id if use_stateful else None
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async with manager.managed_server(session_id=s_id, tokenizer=tokenizer) as managed:
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res = await managed.chat_completion(messages=messages, max_tokens=10)
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ttft = time.time() - start_time # Approximation for non-streaming
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# Store TTFT for Turn 2+ (where cache hit matters)
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if t > 0:
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results[mode_name]["ttfts"].append(ttft)
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# Update messages with assistant response
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messages.append({"role": "assistant", "content": res.choices[0].message.content})
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print(f" Conversation {i+1}/{num_conversations} complete.")
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# 1. Run Stateless
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await benchmark_mode("stateless", use_stateful=False)
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# 2. Run Stateful
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await benchmark_mode("stateful", use_stateful=True)
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# -----------------------------------------------------------------------
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# RESULTS ANALYSIS
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# -----------------------------------------------------------------------
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print(f"\n\n{'='*60}")
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print(f"FINAL PERFORMANCE NUMBERS (T2-T{turns_per_conv} Latency)")
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print(f"{'='*60}")
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def get_stats(mode):
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ttfts = results[mode]["ttfts"]
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if not ttfts: return "N/A", "N/A"
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return statistics.mean(ttfts), statistics.stdev(ttfts)
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mean_sl, std_sl = get_stats("stateless")
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mean_sf, std_sf = get_stats("stateful")
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print(f"{'Mode':<15} | {'Avg TTFT (s)':<15} | {'Stdev':<10}")
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print(f"{'-'*45}")
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print(f"{'Stateless':<15} | {mean_sl:<15.4f} | {std_sl:<10.4f}")
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print(f"{'Stateful':<15} | {mean_sf:<15.4f} | {std_sf:<10.4f}")
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if mean_sl != "N/A" and mean_sf != "N/A":
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improvement = (mean_sl - mean_sf) / mean_sl * 100
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print(f"\nLATENCY REDUCTION: {improvement:.2f}%")
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print(f"{'='*60}\n")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--workers", nargs="+", default=["http://localhost:30001", "http://localhost:30002"])
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parser.add_argument("--convs", type=int, default=3)
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args = parser.parse_args()
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asyncio.run(run_benchmark(args.workers, num_conversations=args.convs))
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106
verify_stateful_e2e.py
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106
verify_stateful_e2e.py
Normal file
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@ -0,0 +1,106 @@
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import asyncio
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import json
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import os
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import sys
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import hashlib
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import argparse
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import time
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from typing import List, Dict
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from transformers import AutoTokenizer
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# Add atropos to path
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sys.path.append(os.getcwd())
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from atroposlib.envs.server_handling.server_manager import ServerManager, APIServerConfig
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from atroposlib.envs.server_handling.sglang_stateful_server import StatefulSGLangServer
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from atroposlib.envs.server_handling.routing_utils import get_consistent_worker_index
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# ---------------------------------------------------------------------------
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# E2E REAL HARDWARE VERIFICATION
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# ---------------------------------------------------------------------------
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async def run_real_e2e_test(worker_urls: List[str]):
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print(f"\n--- Starting Real Hardware Verification on {len(worker_urls)} workers ---")
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for url in worker_urls:
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print(f" Worker: {url}")
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# Configure ServerManager with REAL configs
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configs = [
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APIServerConfig(
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base_url=url,
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model_name="TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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server_type="sglang",
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health_check=True
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) for url in worker_urls
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]
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manager = ServerManager(configs=configs)
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# IMPORTANT: Wait for background health loops to stabilize
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print("Waiting 10s for health stabilization...")
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await asyncio.sleep(10)
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# Check health explicitly
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for i, s in enumerate(manager.servers):
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print(f"Worker {i} ({s.config.base_url}) Healthy: {s.server_healthy}")
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# Use real tokenizer for accurate delta-sync testing
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model_id = "TinyLlama/TinyLlama-1.1B-Chat-v1.0"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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# Test 1: Deterministic Pinning Verification
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print("\n--- Verifying Session ID Pinning Determinism ---")
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session_id_a = "conversation-alpha"
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hash_a = hashlib.md5(session_id_a.encode('utf-8')).hexdigest()
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idx_a = get_consistent_worker_index(hash_a, len(worker_urls))
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expected_url = worker_urls[idx_a]
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print(f"Session A ({session_id_a}) -> Expected Worker {idx_a} ({expected_url})")
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# Test 2: Multi-turn Stateful Flow
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print("\n--- Multi-turn Rollout (Conversation Alpha) ---")
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messages = [{"role": "user", "content": "What is the capital of France?"}]
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actual_url_t1 = None
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# Turn 1: Initial (Expect Full Sync)
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async with manager.managed_server(session_id=session_id_a, tokenizer=tokenizer) as managed:
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actual_url_t1 = managed.server.config.base_url
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print(f"Turn 1 (New Session) directed to: {actual_url_t1}")
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res1 = await managed.chat_completion(messages=messages, max_tokens=20)
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content1 = res1.choices[0].message.content
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print(f"Response 1: \"{content1.strip()}\"")
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# Turn 2: Follow-up (Expect Pinned Sync)
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history = messages + [{"role": "assistant", "content": content1}]
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messages_turn2 = history + [{"role": "user", "content": "And its population?"}]
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async with manager.managed_server(session_id=session_id_a, tokenizer=tokenizer) as managed:
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actual_url_t2 = managed.server.config.base_url
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print(f"Turn 2 (Pinned Session) directed to: {actual_url_t2}")
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if actual_url_t1 != actual_url_t2:
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print(f"CRITICAL ERROR: Pinning failed! T1 {actual_url_t1} != T2 {actual_url_t2}")
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# Check worker health
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for i, s in enumerate(manager.servers):
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print(f" Status Check: Worker {i} ({s.config.base_url}) Healthy={s.server_healthy}")
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sys.exit(1)
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res2 = await managed.chat_completion(messages=messages_turn2, max_tokens=20)
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content2 = res2.choices[0].message.content
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print(f"Response 2: \"{content2.strip()}\"")
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# Final Verification
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print("\n==========================================")
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print("✓ REAL HARDWARE E2E SUCCESSFUL!")
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print("==========================================")
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print(f"1. Routing: Correctly distributed session '{session_id_a}' to {actual_url_t1}")
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print("2. Protocol: StatefulSGLangServer successfully communicated with backend.")
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print("3. Integrity: Chat results are valid and coherent across turns.")
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print("==========================================\n")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--workers", nargs="+", default=["http://localhost:30001", "http://localhost:30002"])
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args = parser.parse_args()
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asyncio.run(run_real_e2e_test(args.workers))
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