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b/arch/tools/pyproject.toml index 082b815d..a159c03d 100644 --- a/arch/tools/pyproject.toml +++ b/arch/tools/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw" -version = "0.0.4" +version = "0.0.5" description = "Python-based CLI tool to manage Arch Gateway." authors = ["Katanemo Labs, Inc."] packages = [ @@ -22,9 +22,9 @@ pydantic = "^2.9.2" click = "^8.1.7" jinja2 = "^3.1.4" jsonschema = "^4.23.0" -setuptools = "75.1.0" -archgw_modelserver= "0.0.3" -huggingface_hub = "^0.25.2" +setuptools = "75.2.0" +archgw_modelserver = "0.0.4" +huggingface_hub = "^0.26.0" [tool.poetry.scripts] archgw = "cli.main:main" diff --git a/chatbot_ui/.vscode/settings.json b/chatbot_ui/.vscode/settings.json deleted file mode 100644 index 3302ded8..00000000 --- a/chatbot_ui/.vscode/settings.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "python.defaultInterpreterPath": "${workspaceFolder}/venv/bin/python", -} diff --git a/demos/hr_agent/Dockerfile b/demos/hr_agent/Dockerfile new file mode 100644 index 00000000..c97fb497 --- /dev/null +++ b/demos/hr_agent/Dockerfile @@ -0,0 +1,20 @@ +FROM python:3.10 AS base + +FROM base AS builder + +WORKDIR /src + +COPY requirements.txt /src/ +COPY workforce_data.json /src/ +RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt + +COPY . /src + +FROM python:3.10-slim AS output + +COPY --from=builder /runtime /usr/local + +COPY . /app +WORKDIR /app + +CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"] diff --git a/demos/hr_agent/arch_config.yaml b/demos/hr_agent/arch_config.yaml new file mode 100644 index 00000000..f2237e35 --- /dev/null +++ b/demos/hr_agent/arch_config.yaml @@ -0,0 +1,63 @@ +version: v0.1 +listener: + address: 127.0.0.1 + port: 8080 #If you configure port 443, you'll need to update the listener with tls_certificates + message_format: huggingface + +# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way +llm_providers: + - name: OpenAI + provider: openai + access_key: OPENAI_API_KEY + model: gpt-4o + default: true + +# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem. +endpoints: + app_server: + # value could be ip address or a hostname with port + # this could also be a list of endpoints for load balancing + # for example endpoint: [ ip1:port, ip2:port ] + endpoint: host.docker.internal:18083 + # max time to wait for a connection to be established + connect_timeout: 0.005s + +# default system prompt used by all prompt targets +system_prompt: | + You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workfoce planning. NOTHING ELSE. When you get data in json format, offer some summary but don't be too verbose. + +prompt_targets: + - name: hr_qa + endpoint: + name: app_server + path: /agent/hr_qa + description: Handle general Q/A related to HR. + default: true + - name: workforce + description: Get workforce data like headcount and satisfacton levels by region and staffing type + endpoint: + name: app_server + path: /agent/workforce + parameters: + - name: staffing_type + type: str + description: Staffing type like contract, fte or agency + required: true + - name: region + type: str + required: true + description: Geographical region for which you want workforce data like asia, europe, americas. + - name: point_in_time + type: int + required: false + description: the point in time for which to retrieve data. For e.g 0 days ago, 30 days ago, etc. + - name: slack_message + endpoint: + name: app_server + path: /agent/slack_message + description: sends a slack message on a channel + parameters: + - name: slack_message + type: string + required: true + description: the message that should be sent to a slack channel diff --git a/demos/hr_agent/docker-compose.yaml b/demos/hr_agent/docker-compose.yaml new file mode 100644 index 00000000..43c79721 --- /dev/null +++ b/demos/hr_agent/docker-compose.yaml @@ -0,0 +1,23 @@ +services: + api_server: + build: + context: . + environment: + - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN:-None} + ports: + - "18083:80" + healthcheck: + test: ["CMD", "curl" ,"http://localhost:80/healthz"] + interval: 5s + retries: 20 + + chatbot_ui: + build: + context: ../../chatbot_ui + ports: + - "18080:8080" + environment: + - OPENAI_API_KEY=${OPENAI_API_KEY:?error} + - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1 + extra_hosts: + - "host.docker.internal:host-gateway" diff --git a/demos/hr_agent/main.py b/demos/hr_agent/main.py new file mode 100644 index 00000000..3a1a14e6 --- /dev/null +++ b/demos/hr_agent/main.py @@ -0,0 +1,106 @@ +import os +import json +import pandas as pd +from fastapi import FastAPI, HTTPException +from pydantic import BaseModel, Field +from typing import Optional +from enum import Enum +from slack_sdk import WebClient +from slack_sdk.errors import SlackApiError + +app = FastAPI() +workforce_data_df = None + +with open("workforce_data.json") as file: + workforce_data = json.load(file) + workforce_data_df = pd.json_normalize( + workforce_data, record_path=["regions"], meta=["point_in_time", "satisfaction"] + ) + + +# Define the request model +class WorkforceRequset(BaseModel): + region: str + staffing_type: str + point_in_time: Optional[int] = None + + +class SlackRequest(BaseModel): + slack_message: str + + +class WorkforceResponse(BaseModel): + region: str + staffing_type: str + headcount: int + satisfaction: float + + +# Post method for device summary +@app.post("/agent/workforce") +def get_workforce(request: WorkforceRequset): + """ + Endpoint to workforce data by region, staffing type at a given point in time. + """ + region = request.region.lower() + staffing_type = request.staffing_type.lower() + point_in_time = request.point_in_time if request.point_in_time else 0 + + response = { + "region": region, + "staffing_type": f"Staffing agency: {staffing_type}", + "headcount": f"Headcount: {int(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)][staffing_type].values[0])}", + "satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)]['satisfaction'].values[0])}", + } + return response + + +@app.post("/agent/slack_message") +def send_slack_message(request: SlackRequest): + """ + Endpoint that sends slack message + """ + slack_message = request.slack_message + + # Load the bot token from an environment variable or replace it directly + slack_token = os.getenv( + "SLACK_BOT_TOKEN" + ) # Replace with your token if needed: 'xoxb-your-token' + + if slack_token is None: + print(f"Message for slack: {slack_message}") + else: + client = WebClient(token=slack_token) + channel = "hr_agent_demo" + try: + # Send the message + response = client.chat_postMessage(channel=channel, text=slack_message) + return f"Message sent to {channel}: {response['message']['text']}" + except SlackApiError as e: + print(f"Error sending message: {e.response['error']}") + + +@app.post("/agent/hr_qa") +async def general_hr_qa(): + """ + This method handles Q/A related to general issues in HR. + It forwards the conversation to the OpenAI client via a local proxy and returns the response. + """ + return { + "choices": [ + { + "message": { + "role": "assistant", + "content": "I am a helpful HR agent, and I can help you plan for workforce related questions", + }, + "finish_reason": "completed", + "index": 0, + } + ], + "model": "hr_agent", + "usage": {"completion_tokens": 0}, + } + + +if __name__ == "__main__": + app.run(debug=True) diff --git a/demos/hr_agent/requirements.txt b/demos/hr_agent/requirements.txt new file mode 100644 index 00000000..3068f77e --- /dev/null +++ b/demos/hr_agent/requirements.txt @@ -0,0 +1,6 @@ +fastapi +uvicorn +pydantic +slack-sdk +typing +pandas diff --git a/demos/hr_agent/run_demo.sh b/demos/hr_agent/run_demo.sh new file mode 100644 index 00000000..fc32430c --- /dev/null +++ b/demos/hr_agent/run_demo.sh @@ -0,0 +1,46 @@ +#!/bin/bash + +# Function to start the demo +start_demo() { + # Step 1: Check if .env file exists + if [ -f ".env" ]; then + echo ".env file already exists. Skipping creation." + else + # Step 2: Create `.env` file and set OpenAI key + if [ -z "$OPENAI_API_KEY" ]; then + echo "Error: OPENAI_API_KEY environment variable is not set for the demo." + exit 1 + fi + + echo "Creating .env file..." + echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env + echo ".env file created with OPENAI_API_KEY." + fi + + # Step 3: Start Arch + echo "Starting Arch with arch_config.yaml..." + archgw up arch_config.yaml + + # Step 4: Start Network Agent + echo "Starting HR Agent using Docker Compose..." + docker compose up -d # Run in detached mode +} + +# Function to stop the demo +stop_demo() { + # Step 1: Stop Docker Compose services + echo "Stopping HR Agent using Docker Compose..." + docker compose down + + # Step 2: Stop Arch + echo "Stopping Arch..." + archgw down +} + +# Main script logic +if [ "$1" == "down" ]; then + stop_demo +else + # Default action is to bring the demo up + start_demo +fi diff --git a/demos/hr_agent/workforce_data.json b/demos/hr_agent/workforce_data.json new file mode 100644 index 00000000..e28654d7 --- /dev/null +++ b/demos/hr_agent/workforce_data.json @@ -0,0 +1,29 @@ +[ + { + "point_in_time": 0, + "regions": [ + { "region": "asia", "contract": 100, "fte": 150, "agency": 2000 }, + { "region": "europe", "contract": 80, "fte": 120, "agency": 2500 }, + { "region": "americas", "contract": 90, "fte": 200, "agency": 3100 } + ], + "satisfaction": 3.5 + }, + { + "point_in_time": 30, + "regions": [ + { "region": "asia", "contract": 110, "fte": 155, "agency": 1000 }, + { "region": "europe", "contract": 85, "fte": 130, "agency": 1600 }, + { "region": "americas", "contract": 95, "fte": 210, "agency": 3100 } + ], + "satisfaction": 4.0 + }, + { + "point_in_time": 60, + "regions": [ + { "region": "asia", "contract": 115, "fte": 160, "agency": 500 }, + { "region": "europe", "contract": 90, "fte": 140, "agency": 700 }, + { "region": "americas", "contract": 100, "fte": 220, "agency": 1200 } + ], + "satisfaction": 4.7 + } +] diff --git a/model_server/.vscode/launch.json b/model_server/.vscode/launch.json index 3e8a10a7..89f4c86c 100644 --- a/model_server/.vscode/launch.json +++ b/model_server/.vscode/launch.json @@ -9,10 +9,7 @@ "type": "debugpy", "request": "launch", "module": "uvicorn", - "args": ["app.main:app","--reload", "--port", "8000"], - "env": { - "MODE": "local-cpu", - } + "args": ["app.main:app","--reload", "--port", "8000"] } ] } diff --git a/model_server/.vscode/settings.json b/model_server/.vscode/settings.json deleted file mode 100644 index 3302ded8..00000000 --- a/model_server/.vscode/settings.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "python.defaultInterpreterPath": "${workspaceFolder}/venv/bin/python", -} diff --git a/model_server/app/cli.py b/model_server/app/cli.py index d803e855..6a3f81ea 100644 --- a/model_server/app/cli.py +++ b/model_server/app/cli.py @@ -47,7 +47,16 @@ def start_server(): "Starting model server - loading some awesomeness, this may take some time :)" ) process = subprocess.Popen( - ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "51000"], + [ + "python", + "-m", + "uvicorn", + "app.main:app", + "--host", + "0.0.0.0", + "--port", + "51000", + ], start_new_session=True, bufsize=1, universal_newlines=True, diff --git a/model_server/app/function_calling/model_utils.py b/model_server/app/function_calling/model_utils.py index 04078a1b..5c272b4a 100644 --- a/model_server/app/function_calling/model_utils.py +++ b/model_server/app/function_calling/model_utils.py @@ -28,7 +28,9 @@ def process_messages(history: list[Message]): for hist in history: if hist.tool_calls: if len(hist.tool_calls) > 1: - raise ValueError("Only one tool call is supported") + error_msg = f"Only one tool call is supported, tools counts: {len(hist.tool_calls)}" + logger.error(error_msg) + raise ValueError(error_msg) tool_call_str = json.dumps(hist.tool_calls[0]["function"]) updated_history.append( { diff --git a/model_server/poetry.lock b/model_server/poetry.lock index 46330fb9..3ff7ad4d 100644 --- a/model_server/poetry.lock +++ b/model_server/poetry.lock @@ -636,13 +636,13 @@ files = [ [[package]] name = "fsspec" -version = "2024.9.0" +version = "2024.10.0" description = "File-system specification" optional = false python-versions = ">=3.8" files = [ - {file = "fsspec-2024.9.0-py3-none-any.whl", hash = "sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b"}, - {file = "fsspec-2024.9.0.tar.gz", hash = "sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8"}, + {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"}, + {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"}, ] [package.dependencies] @@ -735,13 +735,13 @@ zstd = ["zstandard (>=0.18.0)"] [[package]] name = "huggingface-hub" -version = "0.25.2" +version = "0.26.1" description = "Client 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a/model_server/pyproject.toml +++ b/model_server/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "archgw_modelserver" -version = "0.0.3" +version = "0.0.4" description = "A model server for serving models" authors = ["Katanemo Labs, Inc "] license = "Apache 2.0" diff --git a/model_server/requirements.txt b/model_server/requirements.txt deleted file mode 100644 index 69736cab..00000000 --- a/model_server/requirements.txt +++ /dev/null @@ -1,23 +0,0 @@ -#TOOD: pin versions -fastapi==0.115.0 -sentence-transformers==3.1.1 -torch==2.4.1 -uvicorn==0.31.0 -transformers -pyyaml==6.0.2 -accelerate -psutil==6.0.0 -# guard inference packages -optimum-intel==1.19.0 -openvino==2024.4.0 -psutil -dateparser -openai==1.50.2 -httpx -pytest-asyncio -pytest -pandas -tf-keras -onnx==1.17.0 -onnxruntime==1.19.2 -pytest