mirror of
https://github.com/katanemo/plano.git
synced 2026-06-08 14:55:14 +02:00
HR agent demo (#206)
* commiting my hr_agent branch * updating the HR agent config * pushing to remote * fix hr agent * committing to merge with main * updating to merge from main * updating the demo and model-server-tests to pull from poetry * updating the poetry.lock files * updating based on feedback * updated sysmte prompt for hr_agent --------- Co-authored-by: Salman Paracha <salmanparacha@MacBook-Pro-261.local> Co-authored-by: Adil Hafeez <adil@katanemo.com>
This commit is contained in:
Salman Paracha
GitHub
parent
8495f89fda
commit
708fa15a9b
19 changed files with 522 additions and 2927 deletions
18
.github/workflows/model-server-tests.yml
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18
.github/workflows/model-server-tests.yml
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@ -23,16 +23,22 @@ jobs:
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with:
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python-version: "3.10" # Adjust to your Python version
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# Step 3: Install dependencies (from requirements.txt or Pipfile)
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# Step 3: Install Poetry
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- name: Install Poetry
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run: |
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curl -sSL https://install.python-poetry.org | python3 -
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export PATH="$HOME/.local/bin:$PATH"
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# Step 4: Install dependencies using Poetry
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- name: Install dependencies
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run: |
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cd model_server
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pip install --upgrade pip
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pip install -r requirements.txt # Or use pipenv install
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pip install pytest
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poetry install
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# Step 4: Set PYTHONPATH and run tests
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# Step 5: Set PYTHONPATH and run tests
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- name: Run model server tests with pytest
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env:
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PYTHONPATH: model_server # Ensure the app's path is available
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run: |
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cd model_server
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PYTHONPATH=. pytest --maxfail=5 --disable-warnings
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poetry run pytest --maxfail=5 --disable-warnings
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3
arch/tools/.vscode/settings.json
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3
arch/tools/.vscode/settings.json
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@ -1,3 +0,0 @@
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{
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"python.defaultInterpreterPath": "${workspaceFolder}/venv/bin/python",
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}
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2726
arch/tools/poetry.lock
generated
2726
arch/tools/poetry.lock
generated
File diff suppressed because it is too large
Load diff
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "archgw"
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version = "0.0.4"
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version = "0.0.5"
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description = "Python-based CLI tool to manage Arch Gateway."
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authors = ["Katanemo Labs, Inc."]
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packages = [
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@ -22,9 +22,9 @@ pydantic = "^2.9.2"
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click = "^8.1.7"
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jinja2 = "^3.1.4"
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jsonschema = "^4.23.0"
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setuptools = "75.1.0"
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archgw_modelserver= "0.0.3"
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huggingface_hub = "^0.25.2"
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setuptools = "75.2.0"
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archgw_modelserver = "0.0.4"
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huggingface_hub = "^0.26.0"
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[tool.poetry.scripts]
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archgw = "cli.main:main"
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3
chatbot_ui/.vscode/settings.json
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3
chatbot_ui/.vscode/settings.json
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@ -1,3 +0,0 @@
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{
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"python.defaultInterpreterPath": "${workspaceFolder}/venv/bin/python",
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}
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20
demos/hr_agent/Dockerfile
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20
demos/hr_agent/Dockerfile
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@ -0,0 +1,20 @@
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FROM python:3.10 AS base
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FROM base AS builder
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WORKDIR /src
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COPY requirements.txt /src/
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COPY workforce_data.json /src/
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RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt
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COPY . /src
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FROM python:3.10-slim AS output
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COPY --from=builder /runtime /usr/local
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COPY . /app
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WORKDIR /app
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"]
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63
demos/hr_agent/arch_config.yaml
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63
demos/hr_agent/arch_config.yaml
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version: v0.1
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listener:
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address: 127.0.0.1
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port: 8080 #If you configure port 443, you'll need to update the listener with tls_certificates
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message_format: huggingface
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# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
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llm_providers:
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- name: OpenAI
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provider: openai
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access_key: OPENAI_API_KEY
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model: gpt-4o
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default: true
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# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
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endpoints:
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app_server:
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# value could be ip address or a hostname with port
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# this could also be a list of endpoints for load balancing
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# for example endpoint: [ ip1:port, ip2:port ]
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endpoint: host.docker.internal:18083
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# max time to wait for a connection to be established
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connect_timeout: 0.005s
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# default system prompt used by all prompt targets
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system_prompt: |
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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.
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prompt_targets:
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- name: hr_qa
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endpoint:
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name: app_server
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path: /agent/hr_qa
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description: Handle general Q/A related to HR.
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default: true
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- name: workforce
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description: Get workforce data like headcount and satisfacton levels by region and staffing type
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endpoint:
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name: app_server
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path: /agent/workforce
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parameters:
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- name: staffing_type
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type: str
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description: Staffing type like contract, fte or agency
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required: true
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- name: region
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type: str
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required: true
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description: Geographical region for which you want workforce data like asia, europe, americas.
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- name: point_in_time
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type: int
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required: false
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description: the point in time for which to retrieve data. For e.g 0 days ago, 30 days ago, etc.
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- name: slack_message
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endpoint:
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name: app_server
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path: /agent/slack_message
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description: sends a slack message on a channel
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parameters:
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- name: slack_message
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type: string
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required: true
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description: the message that should be sent to a slack channel
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23
demos/hr_agent/docker-compose.yaml
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23
demos/hr_agent/docker-compose.yaml
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@ -0,0 +1,23 @@
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services:
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api_server:
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build:
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context: .
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environment:
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- SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN:-None}
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ports:
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- "18083:80"
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healthcheck:
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test: ["CMD", "curl" ,"http://localhost:80/healthz"]
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interval: 5s
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retries: 20
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chatbot_ui:
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build:
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context: ../../chatbot_ui
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ports:
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- "18080:8080"
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environment:
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- OPENAI_API_KEY=${OPENAI_API_KEY:?error}
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- CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
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extra_hosts:
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- "host.docker.internal:host-gateway"
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106
demos/hr_agent/main.py
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106
demos/hr_agent/main.py
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@ -0,0 +1,106 @@
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import os
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import json
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import pandas as pd
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel, Field
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from typing import Optional
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from enum import Enum
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from slack_sdk import WebClient
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from slack_sdk.errors import SlackApiError
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app = FastAPI()
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workforce_data_df = None
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with open("workforce_data.json") as file:
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workforce_data = json.load(file)
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workforce_data_df = pd.json_normalize(
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workforce_data, record_path=["regions"], meta=["point_in_time", "satisfaction"]
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)
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# Define the request model
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class WorkforceRequset(BaseModel):
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region: str
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staffing_type: str
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point_in_time: Optional[int] = None
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class SlackRequest(BaseModel):
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slack_message: str
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class WorkforceResponse(BaseModel):
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region: str
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staffing_type: str
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headcount: int
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satisfaction: float
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# Post method for device summary
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@app.post("/agent/workforce")
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def get_workforce(request: WorkforceRequset):
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"""
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Endpoint to workforce data by region, staffing type at a given point in time.
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"""
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region = request.region.lower()
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staffing_type = request.staffing_type.lower()
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point_in_time = request.point_in_time if request.point_in_time else 0
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response = {
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"region": region,
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"staffing_type": f"Staffing agency: {staffing_type}",
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"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])}",
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"satisfaction": f"Satisifaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['point_in_time']==point_in_time)]['satisfaction'].values[0])}",
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}
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return response
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@app.post("/agent/slack_message")
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def send_slack_message(request: SlackRequest):
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"""
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Endpoint that sends slack message
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"""
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slack_message = request.slack_message
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# Load the bot token from an environment variable or replace it directly
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slack_token = os.getenv(
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"SLACK_BOT_TOKEN"
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) # Replace with your token if needed: 'xoxb-your-token'
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if slack_token is None:
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print(f"Message for slack: {slack_message}")
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else:
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client = WebClient(token=slack_token)
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channel = "hr_agent_demo"
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try:
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# Send the message
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response = client.chat_postMessage(channel=channel, text=slack_message)
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return f"Message sent to {channel}: {response['message']['text']}"
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except SlackApiError as e:
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print(f"Error sending message: {e.response['error']}")
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@app.post("/agent/hr_qa")
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async def general_hr_qa():
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"""
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This method handles Q/A related to general issues in HR.
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It forwards the conversation to the OpenAI client via a local proxy and returns the response.
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"""
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return {
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"choices": [
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{
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"message": {
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"role": "assistant",
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"content": "I am a helpful HR agent, and I can help you plan for workforce related questions",
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},
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"finish_reason": "completed",
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"index": 0,
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}
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],
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"model": "hr_agent",
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"usage": {"completion_tokens": 0},
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}
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if __name__ == "__main__":
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app.run(debug=True)
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6
demos/hr_agent/requirements.txt
Normal file
6
demos/hr_agent/requirements.txt
Normal file
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fastapi
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uvicorn
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pydantic
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slack-sdk
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typing
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pandas
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46
demos/hr_agent/run_demo.sh
Normal file
46
demos/hr_agent/run_demo.sh
Normal file
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#!/bin/bash
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# Function to start the demo
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start_demo() {
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# Step 1: Check if .env file exists
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if [ -f ".env" ]; then
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echo ".env file already exists. Skipping creation."
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else
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# Step 2: Create `.env` file and set OpenAI key
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if [ -z "$OPENAI_API_KEY" ]; then
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echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
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exit 1
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fi
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echo "Creating .env file..."
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echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
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echo ".env file created with OPENAI_API_KEY."
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fi
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# Step 3: Start Arch
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echo "Starting Arch with arch_config.yaml..."
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archgw up arch_config.yaml
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# Step 4: Start Network Agent
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echo "Starting HR Agent using Docker Compose..."
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docker compose up -d # Run in detached mode
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}
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# Function to stop the demo
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stop_demo() {
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# Step 1: Stop Docker Compose services
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echo "Stopping HR Agent using Docker Compose..."
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docker compose down
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# Step 2: Stop Arch
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echo "Stopping Arch..."
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archgw down
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}
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# Main script logic
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if [ "$1" == "down" ]; then
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stop_demo
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else
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# Default action is to bring the demo up
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start_demo
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fi
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29
demos/hr_agent/workforce_data.json
Normal file
29
demos/hr_agent/workforce_data.json
Normal file
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[
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{
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"point_in_time": 0,
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"regions": [
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{ "region": "asia", "contract": 100, "fte": 150, "agency": 2000 },
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{ "region": "europe", "contract": 80, "fte": 120, "agency": 2500 },
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{ "region": "americas", "contract": 90, "fte": 200, "agency": 3100 }
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],
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"satisfaction": 3.5
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},
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{
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"point_in_time": 30,
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"regions": [
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{ "region": "asia", "contract": 110, "fte": 155, "agency": 1000 },
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{ "region": "europe", "contract": 85, "fte": 130, "agency": 1600 },
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{ "region": "americas", "contract": 95, "fte": 210, "agency": 3100 }
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],
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"satisfaction": 4.0
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},
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{
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"point_in_time": 60,
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"regions": [
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{ "region": "asia", "contract": 115, "fte": 160, "agency": 500 },
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{ "region": "europe", "contract": 90, "fte": 140, "agency": 700 },
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{ "region": "americas", "contract": 100, "fte": 220, "agency": 1200 }
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],
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"satisfaction": 4.7
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}
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]
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5
model_server/.vscode/launch.json
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5
model_server/.vscode/launch.json
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@ -9,10 +9,7 @@
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"type": "debugpy",
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"request": "launch",
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"module": "uvicorn",
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"args": ["app.main:app","--reload", "--port", "8000"],
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"env": {
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"MODE": "local-cpu",
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}
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"args": ["app.main:app","--reload", "--port", "8000"]
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}
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]
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}
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|
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3
model_server/.vscode/settings.json
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3
model_server/.vscode/settings.json
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@ -1,3 +0,0 @@
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{
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"python.defaultInterpreterPath": "${workspaceFolder}/venv/bin/python",
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}
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@ -47,7 +47,16 @@ def start_server():
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"Starting model server - loading some awesomeness, this may take some time :)"
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)
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process = subprocess.Popen(
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["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "51000"],
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[
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"python",
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"-m",
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"uvicorn",
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"app.main:app",
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"--host",
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"0.0.0.0",
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"--port",
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"51000",
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],
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start_new_session=True,
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bufsize=1,
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universal_newlines=True,
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|
|
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@ -28,7 +28,9 @@ def process_messages(history: list[Message]):
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for hist in history:
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if hist.tool_calls:
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if len(hist.tool_calls) > 1:
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raise ValueError("Only one tool call is supported")
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error_msg = f"Only one tool call is supported, tools counts: {len(hist.tool_calls)}"
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logger.error(error_msg)
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raise ValueError(error_msg)
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tool_call_str = json.dumps(hist.tool_calls[0]["function"])
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updated_history.append(
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{
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|
|
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350
model_server/poetry.lock
generated
350
model_server/poetry.lock
generated
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|
@ -636,13 +636,13 @@ files = [
|
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[[package]]
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name = "fsspec"
|
||||
version = "2024.9.0"
|
||||
version = "2024.10.0"
|
||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
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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 library to download and publish models, datasets and other repos on the huggingface.co hub"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
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{file = "huggingface_hub-0.25.2-py3-none-any.whl", hash = "sha256:1897caf88ce7f97fe0110603d8f66ac264e3ba6accdf30cd66cc0fed5282ad25"},
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||||
]
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||||
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||||
[package.dependencies]
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||||
|
|
@ -754,16 +754,16 @@ tqdm = ">=4.42.1"
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|||
typing-extensions = ">=3.7.4.3"
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[package.extras]
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cli = ["InquirerPy (==0.3.4)"]
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||||
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
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||||
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||||
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
|
||||
hf-transfer = ["hf-transfer (>=0.1.4)"]
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||||
inference = ["aiohttp", "minijinja (>=1.0)"]
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quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
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inference = ["aiohttp"]
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||||
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
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tensorflow = ["graphviz", "pydot", "tensorflow"]
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tensorflow-testing = ["keras (<3.0)", "tensorflow"]
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||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
|
||||
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
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torch = ["safetensors[torch]", "torch"]
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||||
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|
@ -918,72 +918,72 @@ files = [
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[[package]]
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||||
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -1137,13 +1137,13 @@ dill = ">=0.3.7"
|
|||
|
||||
[[package]]
|
||||
name = "networkx"
|
||||
version = "3.4.1"
|
||||
version = "3.4.2"
|
||||
description = "Python package for creating and manipulating graphs and networks"
|
||||
optional = false
|
||||
python-versions = ">=3.10"
|
||||
files = [
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||||
{file = "networkx-3.4.1-py3-none-any.whl", hash = "sha256:e30a87b48c9a6a7cc220e732bffefaee585bdb166d13377734446ce1a0620eed"},
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||||
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{file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -1512,13 +1512,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "optimum"
|
||||
version = "1.23.1"
|
||||
version = "1.23.2"
|
||||
description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
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||||
{file = "optimum-1.23.1-py3-none-any.whl", hash = "sha256:9a910601b665ac617ef14df99a44fe06e51040bcf945093f7b111d0e692fa5ac"},
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]
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||||
|
||||
[package.dependencies]
|
||||
|
|
@ -1542,7 +1542,7 @@ exporters-gpu = ["onnx", "onnxruntime-gpu", "timm", "transformers (<4.46.0)"]
|
|||
exporters-tf = ["datasets (<=2.16)", "h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4,<=2.12.1)", "tf2onnx", "timm", "transformers[sentencepiece] (>=4.26,<4.38)"]
|
||||
furiosa = ["optimum-furiosa"]
|
||||
graphcore = ["optimum-graphcore"]
|
||||
habana = ["optimum-habana", "transformers (>=4.43.0,<4.44.0)"]
|
||||
habana = ["optimum-habana", "transformers (>=4.45.0,<4.46.0)"]
|
||||
intel = ["optimum-intel (>=1.18.0)"]
|
||||
ipex = ["optimum-intel[ipex] (>=1.18.0)"]
|
||||
neural-compressor = ["optimum-intel[neural-compressor] (>=1.18.0)"]
|
||||
|
|
@ -1899,22 +1899,22 @@ files = [
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|||
|
||||
[[package]]
|
||||
name = "protobuf"
|
||||
version = "5.28.2"
|
||||
version = "5.28.3"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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||||
files = [
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{file = "yarl-1.15.4.tar.gz", hash = "sha256:a0c5e271058d148d730219ca4f33c5d841c6bd46e05b0da60fea7b516906ccd3"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:32468f41242d72b87ab793a86d92f885355bcf35b3355aa650bfa846a5c60058"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:234f3a3032b505b90e65b5bc6652c2329ea7ea8855d8de61e1642b74b4ee65d2"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8a0296040e5cddf074c7f5af4a60f3fc42c0237440df7bcf5183be5f6c802ed5"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:de6c14dd7c7c0badba48157474ea1f03ebee991530ba742d381b28d4f314d6f3"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b140e532fe0266003c936d017c1ac301e72ee4a3fd51784574c05f53718a55d8"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:019f5d58093402aa8f6661e60fd82a28746ad6d156f6c5336a70a39bd7b162b9"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c42998fd1cbeb53cd985bff0e4bc25fbe55fd6eb3a545a724c1012d69d5ec84"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c7c30fb38c300fe8140df30a046a01769105e4cf4282567a29b5cdb635b66c4"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e49e0fd86c295e743fd5be69b8b0712f70a686bc79a16e5268386c2defacaade"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:b9ca7b9147eb1365c8bab03c003baa1300599575effad765e0b07dd3501ea9af"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:27e11db3f1e6a51081a981509f75617b09810529de508a181319193d320bc5c7"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:8994c42f4ca25df5380ddf59f315c518c81df6a68fed5bb0c159c6cb6b92f120"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:542fa8e09a581bcdcbb30607c7224beff3fdfb598c798ccd28a8184ffc18b7eb"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2bd6a51010c7284d191b79d3b56e51a87d8e1c03b0902362945f15c3d50ed46b"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-win32.whl", hash = "sha256:178ccb856e265174a79f59721031060f885aca428983e75c06f78aa24b91d929"},
|
||||
{file = "yarl-1.16.0-cp310-cp310-win_amd64.whl", hash = "sha256:fe8bba2545427418efc1929c5c42852bdb4143eb8d0a46b09de88d1fe99258e7"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:d8643975a0080f361639787415a038bfc32d29208a4bf6b783ab3075a20b1ef3"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:676d96bafc8c2d0039cea0cd3fd44cee7aa88b8185551a2bb93354668e8315c2"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d9525f03269e64310416dbe6c68d3b23e5d34aaa8f47193a1c45ac568cecbc49"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8b37d5ec034e668b22cf0ce1074d6c21fd2a08b90d11b1b73139b750a8b0dd97"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4f32c4cb7386b41936894685f6e093c8dfaf0960124d91fe0ec29fe439e201d0"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5b8e265a0545637492a7e12fd7038370d66c9375a61d88c5567d0e044ded9202"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:789a3423f28a5fff46fbd04e339863c169ece97c827b44de16e1a7a42bc915d2"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f1d1f45e3e8d37c804dca99ab3cf4ab3ed2e7a62cd82542924b14c0a4f46d243"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:621280719c4c5dad4c1391160a9b88925bb8b0ff6a7d5af3224643024871675f"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_armv7l.whl", hash = "sha256:ed097b26f18a1f5ff05f661dc36528c5f6735ba4ce8c9645e83b064665131349"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:2f1fe2b2e3ee418862f5ebc0c0083c97f6f6625781382f828f6d4e9b614eba9b"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:87dd10bc0618991c66cee0cc65fa74a45f4ecb13bceec3c62d78ad2e42b27a16"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:4199db024b58a8abb2cfcedac7b1292c3ad421684571aeb622a02f242280e8d6"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:99a9dcd4b71dd5f5f949737ab3f356cfc058c709b4f49833aeffedc2652dac56"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-win32.whl", hash = "sha256:a9394c65ae0ed95679717d391c862dece9afacd8fa311683fc8b4362ce8a410c"},
|
||||
{file = "yarl-1.16.0-cp311-cp311-win_amd64.whl", hash = "sha256:5b9101f528ae0f8f65ac9d64dda2bb0627de8a50344b2f582779f32fda747c1d"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:4ffb7c129707dd76ced0a4a4128ff452cecf0b0e929f2668ea05a371d9e5c104"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:1a5e9d8ce1185723419c487758d81ac2bde693711947032cce600ca7c9cda7d6"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d743e3118b2640cef7768ea955378c3536482d95550222f908f392167fe62059"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:26768342f256e6e3c37533bf9433f5f15f3e59e3c14b2409098291b3efaceacb"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d1b0796168b953bca6600c5f97f5ed407479889a36ad7d17183366260f29a6b9"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:858728086914f3a407aa7979cab743bbda1fe2bdf39ffcd991469a370dd7414d"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5570e6d47bcb03215baf4c9ad7bf7c013e56285d9d35013541f9ac2b372593e7"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:66ea8311422a7ba1fc79b4c42c2baa10566469fe5a78500d4e7754d6e6db8724"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:649bddcedee692ee8a9b7b6e38582cb4062dc4253de9711568e5620d8707c2a3"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_armv7l.whl", hash = "sha256:3a91654adb7643cb21b46f04244c5a315a440dcad63213033826549fa2435f71"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b439cae82034ade094526a8f692b9a2b5ee936452de5e4c5f0f6c48df23f8604"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:571f781ae8ac463ce30bacebfaef2c6581543776d5970b2372fbe31d7bf31a07"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:aa7943f04f36d6cafc0cf53ea89824ac2c37acbdb4b316a654176ab8ffd0f968"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:1a5cf32539373ff39d97723e39a9283a7277cbf1224f7aef0c56c9598b6486c3"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-win32.whl", hash = "sha256:a5b6c09b9b4253d6a208b0f4a2f9206e511ec68dce9198e0fbec4f160137aa67"},
|
||||
{file = "yarl-1.16.0-cp312-cp312-win_amd64.whl", hash = "sha256:1208ca14eed2fda324042adf8d6c0adf4a31522fa95e0929027cd487875f0240"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5ace0177520bd4caa99295a9b6fb831d0e9a57d8e0501a22ffaa61b4c024283"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:7118bdb5e3ed81acaa2095cba7ec02a0fe74b52a16ab9f9ac8e28e53ee299732"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:38fec8a2a94c58bd47c9a50a45d321ab2285ad133adefbbadf3012c054b7e656"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8791d66d81ee45866a7bb15a517b01a2bcf583a18ebf5d72a84e6064c417e64b"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1cf936ba67bc6c734f3aa1c01391da74ab7fc046a9f8bbfa230b8393b90cf472"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d1aab176dd55b59f77a63b27cffaca67d29987d91a5b615cbead41331e6b7428"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:995d0759004c08abd5d1b81300a91d18c8577c6389300bed1c7c11675105a44d"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1bc22e00edeb068f71967ab99081e9406cd56dbed864fc3a8259442999d71552"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:35b4f7842154176523e0a63c9b871168c69b98065d05a4f637fce342a6a2693a"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_armv7l.whl", hash = "sha256:7ace71c4b7a0c41f317ae24be62bb61e9d80838d38acb20e70697c625e71f120"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:8f639e3f5795a6568aa4f7d2ac6057c757dcd187593679f035adbf12b892bb00"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:e8be3aff14f0120ad049121322b107f8a759be76a6a62138322d4c8a337a9e2c"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:122d8e7986043d0549e9eb23c7fd23be078be4b70c9eb42a20052b3d3149c6f2"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:0fd9c227990f609c165f56b46107d0bc34553fe0387818c42c02f77974402c36"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-win32.whl", hash = "sha256:595ca5e943baed31d56b33b34736461a371c6ea0038d3baec399949dd628560b"},
|
||||
{file = "yarl-1.16.0-cp313-cp313-win_amd64.whl", hash = "sha256:921b81b8d78f0e60242fb3db615ea3f368827a76af095d5a69f1c3366db3f596"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:ab2b2ac232110a1fdb0d3ffcd087783edd3d4a6ced432a1bf75caf7b7be70916"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7f8713717a09acbfee7c47bfc5777e685539fefdd34fa72faf504c8be2f3df4e"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:cdcffe1dbcb4477d2b4202f63cd972d5baa155ff5a3d9e35801c46a415b7f71a"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9a91217208306d82357c67daeef5162a41a28c8352dab7e16daa82e3718852a7"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3ab3ed42c78275477ea8e917491365e9a9b69bb615cb46169020bd0aa5e2d6d3"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:707ae579ccb3262dfaef093e202b4c3fb23c3810e8df544b1111bd2401fd7b09"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad7a852d1cd0b8d8b37fc9d7f8581152add917a98cfe2ea6e241878795f917ae"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3f1cc3d3d4dc574bebc9b387f6875e228ace5748a7c24f49d8f01ac1bc6c31b"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:5ff96da263740779b0893d02b718293cc03400c3a208fc8d8cd79d9b0993e532"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_armv7l.whl", hash = "sha256:3d375a19ba2bfe320b6d873f3fb165313b002cef8b7cc0a368ad8b8a57453837"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:62c7da0ad93a07da048b500514ca47b759459ec41924143e2ddb5d7e20fd3db5"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:147b0fcd0ee33b4b5f6edfea80452d80e419e51b9a3f7a96ce98eaee145c1581"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:504e1fe1cc4f170195320eb033d2b0ccf5c6114ce5bf2f617535c01699479bca"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:bdcf667a5dec12a48f669e485d70c54189f0639c2157b538a4cffd24a853624f"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-win32.whl", hash = "sha256:e9951afe6557c75a71045148890052cb942689ee4c9ec29f5436240e1fcc73b7"},
|
||||
{file = "yarl-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:7d7aaa8ff95d0840e289423e7dc35696c2b058d635f945bf05b5cd633146b027"},
|
||||
{file = "yarl-1.16.0-py3-none-any.whl", hash = "sha256:e6980a558d8461230c457218bd6c92dfc1d10205548215c2c21d79dc8d0a96f3"},
|
||||
{file = "yarl-1.16.0.tar.gz", hash = "sha256:b6f687ced5510a9a2474bbae96a4352e5ace5fa34dc44a217b0537fec1db00b4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
|
|||
|
|
@ -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 <archgw@katanemo.com>"]
|
||||
license = "Apache 2.0"
|
||||
|
|
|
|||
|
|
@ -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
|
||||
Loading…
Add table
Add a link
Reference in a new issue