Merge pull request #1 from Nader-gator/main

add pyworker v2

workers/tgi/README.md

@@ -0,0 +1,19 @@
+This is the base PyWorker for TGI, designed to create PyWorkers that can utilize various LLMs. It offers two primary endpoints:
+
+1. `generate`: Generates the LLM's response to a given prompt in a single request.
+2. `generate_stream`: Streams the LLM's response token by token.
+
+Both endpoints use the following API payload format:
+
+```json
+{
+  "inputs": "PROMPT",
+  "parameters": {
+    "max_new_tokens": 250
+  }
+}
+```
+
+Note that the max_new_tokens parameter, rather than the prompt size, impacts performance. For example, if an
+instance is benchmarked to process 100 tokens per second, a request with max_new_tokens = 200 will take
+approximately 2 seconds to complete.

workers/tgi/client.py

@@ -0,0 +1,91 @@
+import sys
+import json
+from urllib.parse import urljoin
+
+import requests
+
+
+def call_generate(endpoint_group_name: str, api_key: str, server_url: str) -> None:
+    WORKER_ENDPOINT = "/generate"
+    COST = 100
+    route_payload = {
+        "endpoint": endpoint_group_name,
+        "api_key": api_key,
+        "cost": COST,
+    }
+    response = requests.post(
+        urljoin(server_url, "/route/"),
+        json=route_payload,
+        timeout=4,
+    )
+    message = response.json()
+    url = message["url"]
+    auth_data = dict(
+        signature=message["signature"],
+        cost=message["cost"],
+        endpoint=message["endpoint"],
+        reqnum=message["reqnum"],
+        url=message["url"],
+    )
+    payload = dict(inputs="tell me about cats", parameters=dict(max_new_tokens=500))
+    req_data = dict(payload=payload, auth_data=auth_data)
+    url = urljoin(url, WORKER_ENDPOINT)
+    print(f"url: {url}")
+    response = requests.post(
+        url,
+        json=req_data,
+    )
+    res = response.json()
+    print(res)
+
+
+def call_generate_stream(endpoint_group_name: str, api_key: str, server_url: str):
+    WORKER_ENDPOINT = "/generate_stream"
+    COST = 100
+    route_payload = {
+        "endpoint": endpoint_group_name,
+        "api_key": api_key,
+        "cost": COST,
+    }
+    response = requests.post(
+        urljoin(server_url, "/route/"),
+        json=route_payload,
+        timeout=4,
+    )
+    message = response.json()
+    url = message["url"]
+    print(f"url: {url}")
+    auth_data = dict(
+        signature=message["signature"],
+        cost=message["cost"],
+        endpoint=message["endpoint"],
+        reqnum=message["reqnum"],
+        url=message["url"],
+    )
+    payload = dict(inputs="tell me about dogs", parameters=dict(max_new_tokens=500))
+    req_data = dict(payload=payload, auth_data=auth_data)
+    url = urljoin(url, WORKER_ENDPOINT)
+    response = requests.post(url, json=req_data, stream=True)
+    for line in response.iter_lines():
+        payload = line.decode().lstrip("data:").rstrip()
+        if payload:
+            data = json.loads(payload)
+            print(data["token"]["text"], end="")
+            sys.stdout.flush()
+    print()
+
+
+if __name__ == "__main__":
+    from lib.test_utils import test_args
+
+    args = test_args.parse_args()
+    call_generate(
+        api_key=args.api_key,
+        endpoint_group_name=args.endpoint_group_name,
+        server_url=args.server_url,
+    )
+    call_generate_stream(
+        api_key=args.api_key,
+        endpoint_group_name=args.endpoint_group_name,
+        server_url=args.server_url,
+    )

workers/tgi/data_types.py

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+import dataclasses
+import random
+import inspect
+from typing import Dict, Any
+
+from transformers import AutoTokenizer
+import nltk
+
+from lib.data_types import ApiPayload, JsonDataException
+
+nltk.download("words")
+WORD_LIST = nltk.corpus.words.words()
+
+tokenizer = AutoTokenizer.from_pretrained("openai-community/openai-gpt")
+
+
+@dataclasses.dataclass
+class InputParameters:
+    max_new_tokens: int = 256
+
+    @classmethod
+    def from_json_msg(cls, json_msg: Dict[str, Any]) -> "InputParameters":
+        errors = {}
+        for param in inspect.signature(cls).parameters:
+            if param not in json_msg:
+                errors[param] = "missing parameter"
+        if errors:
+            raise JsonDataException(errors)
+        return cls(
+            **{
+                k: v
+                for k, v in json_msg.items()
+                if k in inspect.signature(cls).parameters
+            }
+        )
+
+
+@dataclasses.dataclass
+class InputData(ApiPayload):
+    inputs: str
+    parameters: InputParameters
+
+    @classmethod
+    def from_dict(cls, data: Dict[str, Any]) -> "InputData":
+        return cls(
+            inputs=data["inputs"], parameters=InputParameters(**data["parameters"])
+        )
+
+    @classmethod
+    def for_test(cls) -> "InputData":
+        prompt = " ".join(random.choices(WORD_LIST, k=int(250)))
+        return cls(inputs=prompt, parameters=InputParameters())
+
+    def generate_payload_json(self) -> Dict[str, Any]:
+        return dataclasses.asdict(self)
+
+    def count_workload(self) -> int:
+        return self.parameters.max_new_tokens
+
+    @classmethod
+    def from_json_msg(cls, json_msg: Dict[str, Any]) -> "InputData":
+        errors = {}
+        for param in inspect.signature(cls).parameters:
+            if param not in json_msg:
+                errors[param] = "missing parameter"
+        if errors:
+            raise JsonDataException(errors)
+        try:
+            parameters = InputParameters.from_json_msg(json_msg["parameters"])
+            return cls(inputs=json_msg["inputs"], parameters=parameters)
+        except JsonDataException as e:
+            errors["parameters"] = e.message
+            raise JsonDataException(errors)

workers/tgi/server.py

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+import os
+import logging
+from typing import Union, Type
+import dataclasses
+
+from aiohttp import web, ClientResponse
+
+from lib.backend import Backend, LogAction
+from lib.data_types import EndpointHandler
+from lib.server import start_server
+from .data_types import InputData
+
+
+MODEL_SERVER_URL = "http://0.0.0.0:5001"
+
+# This is the last log line that gets emitted once comfyui+extensions have been fully loaded
+MODEL_SERVER_START_LOG_MSG = '"message":"Connected","target":"text_generation_router"'
+MODEL_SERVER_ERROR_LOG_MSGS = ["Error: WebserverFailed", "Error: DownloadError"]
+
+
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s[%(levelname)-5s] %(message)s",
+    datefmt="%Y-%m-%d %H:%M:%S",
+)
+log = logging.getLogger(__file__)
+
+
+@dataclasses.dataclass
+class GenerateHandler(EndpointHandler[InputData]):
+
+    @property
+    def endpoint(self) -> str:
+        return "/generate"
+
+    @classmethod
+    def payload_cls(cls) -> Type[InputData]:
+        return InputData
+
+    def make_benchmark_payload(self) -> InputData:
+        return InputData.for_test()
+
+    async def generate_client_response(
+        self, client_request: web.Request, model_response: ClientResponse
+    ) -> Union[web.Response, web.StreamResponse]:
+        _ = client_request
+        match model_response.status:
+            case 200:
+                log.debug("SUCCESS")
+                data = await model_response.json()
+                return web.json_response(data=data)
+            case code:
+                log.debug("SENDING RESPONSE: ERROR: unknown code")
+                return web.Response(status=code)
+
+
+class GenerateStreamHandler(EndpointHandler[InputData]):
+    @property
+    def endpoint(self) -> str:
+        return "/generate_stream"
+
+    @classmethod
+    def payload_cls(cls) -> Type[InputData]:
+        return InputData
+
+    def make_benchmark_payload(self) -> InputData:
+        return InputData.for_test()
+
+    async def generate_client_response(
+        self, client_request: web.Request, model_response: ClientResponse
+    ) -> Union[web.Response, web.StreamResponse]:
+        match model_response.status:
+            case 200:
+                log.debug("Streaming response...")
+                res = web.StreamResponse()
+                res.content_type = "text/event-stream"
+                await res.prepare(client_request)
+                async for chunk in model_response.content:
+                    await res.write(chunk)
+                await res.write_eof()
+                log.debug("Done streaming response")
+                return res
+            case code:
+                log.debug("SENDING RESPONSE: ERROR: unknown code")
+                return web.Response(status=code)
+
+
+backend = Backend(
+    model_server_url=MODEL_SERVER_URL,
+    model_log_file=os.environ["MODEL_LOG"],
+    allow_parallel_requests=True,
+    benchmark_handler=GenerateHandler(benchmark_runs=3, benchmark_words=256),
+    log_actions=[
+        (LogAction.ModelLoaded, MODEL_SERVER_START_LOG_MSG),
+        (LogAction.Info, '"message":"Download'),
+        *[
+            (LogAction.ModelError, error_msg)
+            for error_msg in MODEL_SERVER_ERROR_LOG_MSGS
+        ],
+    ],
+)
+
+
+async def handle_ping(_):
+    return web.Response(body="pong")
+
+
+routes = [
+    web.post("/generate", backend.create_handler(GenerateHandler())),
+    web.post("/generate_stream", backend.create_handler(GenerateStreamHandler())),
+    web.get("/ping", handle_ping),
+]
+
+if __name__ == "__main__":
+    start_server(backend, routes)

workers/tgi/test_load.py

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+from lib.test_utils import test_load_cmd, test_args
+from .data_types import InputData
+
+WORKER_ENDPOINT = "/generate"
+
+if __name__ == "__main__":
+    test_load_cmd(InputData, WORKER_ENDPOINT, arg_parser=test_args)