From d60b5507b19da6a2d1af910916d65f5bf07f98b0 Mon Sep 17 00:00:00 2001 From: Kye Gomez Date: Tue, 23 Jul 2024 16:12:06 -0400 Subject: [PATCH] [CLEANUP] --- .tflint.hcl | 20 -- api.py | 190 ------------------ servers/.DS_Store | Bin 6148 -> 8196 bytes servers/agent/api.py | 26 +-- .../{deployment.yaml => sky_serve.yaml} | 12 +- sky_serve.yaml | 2 +- swarms_cloud.png | Bin 222005 -> 0 bytes 7 files changed, 18 insertions(+), 232 deletions(-) delete mode 100644 .tflint.hcl delete mode 100644 api.py rename servers/pali_gemma/{deployment.yaml => sky_serve.yaml} (72%) delete mode 100644 swarms_cloud.png diff --git a/.tflint.hcl b/.tflint.hcl deleted file mode 100644 index fc8e13f..0000000 --- a/.tflint.hcl +++ /dev/null @@ -1,20 +0,0 @@ -config { - force = false - disabled_by_default = false -} - - -plugin "aws" { - enabled = true - version = "0.27.0" - source = "github.com/terraform-linters/tflint-ruleset-aws" -} - -rule "terraform_required_version" { - enabled = true -} - -rule "aws_resource_missing_tags" { - enabled = true - tags = ["Name", "Customer"] -} diff --git a/api.py b/api.py deleted file mode 100644 index bfb638b..0000000 --- a/api.py +++ /dev/null @@ -1,190 +0,0 @@ -import asyncio -import os -from typing import List - -import tiktoken -from fastapi import FastAPI, HTTPException -from fastapi.middleware.cors import CORSMiddleware -from pydantic import BaseModel -from swarms import Agent, Anthropic, GPT4o, GPT4VisionAPI, OpenAIChat -from swarms.utils.loguru_logger import logger - -from swarms_cloud.schema.cog_vlm_schemas import ( - ChatCompletionResponse, - UsageInfo, -) - - -# Define the input model using Pydantic -class AgentInput(BaseModel): - agent_name: str = "Swarm Agent" - system_prompt: str = None - agent_description: str = None - model_name: str = "OpenAIChat" - max_loops: int = 1 - autosave: bool = False - dynamic_temperature_enabled: bool = False - dashboard: bool = False - verbose: bool = False - streaming_on: bool = True - saved_state_path: str = None - sop: str = None - sop_list: List[str] = None - user_name: str = "User" - retry_attempts: int = 3 - context_length: int = 8192 - task: str = None - - -# Define the input model using Pydantic -class AgentOutput(BaseModel): - agent: AgentInput - completions: ChatCompletionResponse - - -async def count_tokens( - text: str, -): - try: - # Get the encoding for the specific model - encoding = tiktoken.get_encoding("gpt-4o") - - # Encode the text - tokens = encoding.encode(text) - - # Count the tokens - token_count = len(tokens) - - return token_count - except Exception as e: - raise HTTPException(status_code=400, detail=str(e)) - - -async def model_router(model_name: str): - """ - Function to switch to the specified model. - - Parameters: - - model_name (str): The name of the model to switch to. - - Returns: - - None - - Raises: - - None - - """ - # Logic to switch to the specified model - if model_name == "OpenAIChat": - # Switch to OpenAIChat model - llm = OpenAIChat() - elif model_name == "GPT4o": - # Switch to GPT4o model - llm = GPT4o(openai_api_key=os.getenv("OPENAI_API_KEY")) - elif model_name == "GPT4VisionAPI": - # Switch to GPT4VisionAPI model - llm = GPT4VisionAPI() - elif model_name == "Anthropic": - # Switch to Anthropic model - llm = Anthropic(anthropic_api_key=os.getenv("ANTHROPIC_API_KEY")) - else: - # Invalid model name - pass - - return llm - - -# Create a FastAPI app -app = FastAPI(debug=True) - -# Load the middleware to handle CORS -app.add_middleware( - CORSMiddleware, - allow_origins=["*"], - allow_credentials=True, - allow_methods=["*"], - allow_headers=["*"], -) - - -# @app.get("/v1/models", response_model=ModelList) -# async def list_models(): -# """ -# An endpoint to list available models. It returns a list of model cards. -# This is useful for clients to query and understand what models are available for use. -# """ -# model_card = ModelCard( -# id="cogvlm-chat-17b" -# ) # can be replaced by your model id like cogagent-chat-18b -# return ModelList(data=[model_card]) - - -@app.post("v1/agent/completions", response_model=AgentOutput) -async def agent_completions(agent_input: AgentInput): - try: - logger.info(f"Received request: {agent_input}") - llm = model_router(agent_input.model_name) - - agent = Agent( - agent_name=agent_input.agent_name, - system_prompt=agent_input.system_prompt, - agent_description=agent_input.agent_description, - llm=llm, - max_loops=agent_input.max_loops, - autosave=agent_input.autosave, - dynamic_temperature_enabled=agent_input.dynamic_temperature_enabled, - dashboard=agent_input.dashboard, - verbose=agent_input.verbose, - streaming_on=agent_input.streaming_on, - saved_state_path=agent_input.saved_state_path, - sop=agent_input.sop, - sop_list=agent_input.sop_list, - user_name=agent_input.user_name, - retry_attempts=agent_input.retry_attempts, - context_length=agent_input.context_length, - ) - - # Run the agent - logger.info(f"Running agent with task: {agent_input.task}") - completions = await agent.run(agent_input.task) - - logger.info(f"Completions: {completions}") - all_input_tokens, output_tokens = await asyncio.gather( - count_tokens(agent.short_memory.return_history_as_string()), - count_tokens(completions), - ) - - logger.info(f"Token counts: {all_input_tokens}, {output_tokens}") - - out = AgentOutput( - agent=agent_input, - completions=ChatCompletionResponse( - choices=[ - { - "index": 0, - "message": { - "role": agent_input.agent_name, - "content": completions, - "name": None, - }, - } - ], - stream_choices=None, - usage_info=UsageInfo( - prompt_tokens=all_input_tokens, - completion_tokens=output_tokens, - total_tokens=all_input_tokens + output_tokens, - ), - ), - ) - - return out.json() - - except Exception as e: - raise HTTPException(status_code=400, detail=str(e)) - - -if __name__ == "__main__": - import uvicorn - - uvicorn.run(app, host="0.0.0.0", port=8080, use_colors=True, log_level="info") diff --git a/servers/.DS_Store b/servers/.DS_Store index d5eccce531c93652e9b0fe5790775ad2dafffb7b..a2ddb38b3e68689e596fe4fd4f6d552cf34366d7 100644 GIT binary patch literal 8196 zcmeHMTWl0n7(U;$(3yeC6lf_sLPnZ!Yr#UxU1fU%Y9S!Iy->h)c4sIPrZZ({b_)_> z)%XJ55@UQ4FVROyjL{e)2HuE1X)4N#8clrB2ZKIp^gnZEftL2c7ejDPGv}ZGHfR3- zeE&Inri?LkmaGkoH8RFzx;WM5Q8z>5dVbx}q*zi-6y(oXj*T#zjnbcahjk)IGLU2- z$v~2UBm+qX?uHD|p3R#)%f2tPNuOjO$-w_I1AKij=;AaT(+NSNrGvWY2tbq{0is6t zbPkAojF_flIw5G}O3xIh2gI(3j~Ec{q&K)Z(R55F1QqTK!kr-=8Sx1P(dgu7MCJ@> zL6bhoK$3wwGr-G7Wn*++cbRkh`8_`#jOATFPx_DZW3Cf~t*zG}RaMWKTO-%V^W>wM zDRDsp|(gF6o9PPn6(8HB@5zwi277&eI15ht!<5uuK8$9}6Ad3kK|BKs2W<2q@6rg6|zD z+FUzA!q+1$Em`_Aq?dk;+3-nT%jQx~bjlr1lGjyZPmkQo$g&vLwx z{&B|&j}Mlez{$II)-y+Kr4Bh|vbJGKLqD3V+Ax1kA1|h zurJt`>^l37eb0VmKe1og4fZFhQHur8P=^#&VKvsG8SO};1D)u@0X&8bvN(!73b1hu zK1wL#6i(wAoWps%fEV!^-o#sY2k+t{F5xp=#ua>yuW=3E;0N5m@Aw0MNi~uzDbhk| zkyI}=NNc3EQk%3@>JYCkRVrtAD)6LE;%8hHsB+>}K{`28<)n7)-g9?U&h`0Gtt?!$ zxPE!l>UA48??~UolmKA`cekTCg76gJM-Yx?d>Zy9qoPvpUskE2TXiMste>!NpOQI% zwVK%affX`gUz-!ND_0TQr_B{?s<}m`I@6?xRa31S6sjhzDrTEE5evbn+qNrIS6X$< zKC)BcrLM7vPo=uL=}A{L`QL-~ef9~v%&xLY0`1T27xo+b8!|yP1p_N1ur^~IHe(C6 zVmlr}4|ZWUdI`2!^kV=+7$(qK1ltifC?Y^e(0vLMcpA^*IRfrWcp0zYRb0Ru1mU-1 z2!DW2r-Aa(si4HA*+5y&6g}7XMo3=)^i%%yX{i0@9|Gt% SWwQUz{-ZV7|07u5^W8s`k}@~| delta 124 zcmZp1XfcprU|?W$DortDU=RQ@Ie-{MGjUEV6q~50$jG!YU^nAr0~wad`~oW&%_i>< z@YsA_%z|-a!+GY#>>M0|%s|yZAixbITtON)7Jg@*%rD~zGMRyqfq?}?GeL|7i*1hQ HnZpbKqxKa9 diff --git a/servers/agent/api.py b/servers/agent/api.py index 39008b9..bfb638b 100644 --- a/servers/agent/api.py +++ b/servers/agent/api.py @@ -42,7 +42,7 @@ class AgentOutput(BaseModel): completions: ChatCompletionResponse -def count_tokens( +async def count_tokens( text: str, ): try: @@ -60,7 +60,7 @@ def count_tokens( raise HTTPException(status_code=400, detail=str(e)) -def model_router(model_name: str): +async def model_router(model_name: str): """ Function to switch to the specified model. @@ -107,17 +107,19 @@ def model_router(model_name: str): ) -@app.get("/v1/models", response_model=List[str]) -async def list_models(): - """ - An endpoint to list available models. It returns a list of model names. - This is useful for clients to query and understand what models are available for use. - """ - model_names = ["OpenAIChat", "GPT4o", "GPT4VisionAPI", "Anthropic"] - return model_names +# @app.get("/v1/models", response_model=ModelList) +# async def list_models(): +# """ +# An endpoint to list available models. It returns a list of model cards. +# This is useful for clients to query and understand what models are available for use. +# """ +# model_card = ModelCard( +# id="cogvlm-chat-17b" +# ) # can be replaced by your model id like cogagent-chat-18b +# return ModelList(data=[model_card]) -@app.post("/v1/agent/completions", response_model=AgentOutput) +@app.post("v1/agent/completions", response_model=AgentOutput) async def agent_completions(agent_input: AgentInput): try: logger.info(f"Received request: {agent_input}") @@ -185,4 +187,4 @@ async def agent_completions(agent_input: AgentInput): if __name__ == "__main__": import uvicorn - uvicorn.run(app, host="0.0.0.0", port=8000, use_colors=True, log_level="info") + uvicorn.run(app, host="0.0.0.0", port=8080, use_colors=True, log_level="info") diff --git a/servers/pali_gemma/deployment.yaml b/servers/pali_gemma/sky_serve.yaml similarity index 72% rename from servers/pali_gemma/deployment.yaml rename to servers/pali_gemma/sky_serve.yaml index 0916923..6826548 100644 --- a/servers/pali_gemma/deployment.yaml +++ b/servers/pali_gemma/sky_serve.yaml @@ -1,7 +1,7 @@ envs: MODEL_NAME: google/paligemma-3b-pt-224 MODEL_ARCH: internlm - HUGGING_FACE_HUB_TOKEN: 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 + HUGGING_FACE_HUB_TOKEN: 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 MODEL_PORT: 8080 resources: @@ -35,13 +35,7 @@ service: setup: | - docker run --runtime nvidia --gpus all \ - -v ~/.cache/huggingface:/root/.cache/huggingface \ - --env "HUGGING_FACE_HUB_TOKEN=" \ - -p 8000:8000 \ - --ipc=host \ - vllm/vllm-openai:latest \ - --model mistralai/Mistral-7B-v0.1 + pip install vllm run: | - lmdeploy serve api_server google/paligemma-3b-pt-224 --server-port 8080 \ No newline at end of file + vllm serve google/paligemma-3b-pt-224 --chat-template template_llava.jinja diff --git a/sky_serve.yaml b/sky_serve.yaml index 387bd36..9d55dcd 100644 --- a/sky_serve.yaml +++ b/sky_serve.yaml @@ -1,5 +1,5 @@ envs: - OPENAI_API_KEY: "sk-proj" + OPENAI_API_KEY: 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