├── .gitignore ├── integrations ├── __init__.py ├── __pycache__ │ ├── sentry.cpython-311.pyc │ ├── tinydb.cpython-311.pyc │ └── __init__.cpython-311.pyc ├── sentry.py └── tinydb.py ├── litellm_uuid.txt ├── requirements.txt ├── .DS_Store ├── __pycache__ └── utils.cpython-311.pyc ├── admin-dashboard ├── src │ └── app │ │ ├── favicon.ico │ │ ├── layout.js │ │ ├── globals.css │ │ ├── components │ │ ├── Navbar.js │ │ ├── Table.js │ │ └── Logs.js │ │ ├── page.js │ │ └── api │ │ └── route.js ├── jsconfig.json ├── next.config.js ├── postcss.config.js ├── .gitignore ├── package.json ├── public │ ├── vercel.svg │ └── next.svg ├── README.md ├── tailwind.config.js └── package-lock.json ├── Dockerfile ├── test_proxy_stream.py ├── LICENSE ├── models_info.json ├── main.py ├── readme.md ├── utils.py └── request_logs.json /.gitignore: -------------------------------------------------------------------------------- 1 | .env -------------------------------------------------------------------------------- /integrations/__init__.py: -------------------------------------------------------------------------------- 1 | from . import * -------------------------------------------------------------------------------- /litellm_uuid.txt: -------------------------------------------------------------------------------- 1 | 6526fd1e-0fc1-42da-a520-ce96270cc85d -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | flask 2 | flask_cors 3 | waitress 4 | litellm==0.1.381 -------------------------------------------------------------------------------- /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/.DS_Store -------------------------------------------------------------------------------- /__pycache__/utils.cpython-311.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/__pycache__/utils.cpython-311.pyc -------------------------------------------------------------------------------- /admin-dashboard/src/app/favicon.ico: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/admin-dashboard/src/app/favicon.ico -------------------------------------------------------------------------------- /admin-dashboard/jsconfig.json: -------------------------------------------------------------------------------- 1 | { 2 | "compilerOptions": { 3 | "paths": { 4 | "@/*": ["./src/*"] 5 | } 6 | } 7 | } 8 | -------------------------------------------------------------------------------- /admin-dashboard/next.config.js: -------------------------------------------------------------------------------- 1 | /** @type {import('next').NextConfig} */ 2 | const nextConfig = {} 3 | 4 | module.exports = nextConfig 5 | -------------------------------------------------------------------------------- /admin-dashboard/postcss.config.js: -------------------------------------------------------------------------------- 1 | module.exports = { 2 | plugins: { 3 | tailwindcss: {}, 4 | autoprefixer: {}, 5 | }, 6 | } 7 | -------------------------------------------------------------------------------- /integrations/__pycache__/sentry.cpython-311.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/integrations/__pycache__/sentry.cpython-311.pyc -------------------------------------------------------------------------------- /integrations/__pycache__/tinydb.cpython-311.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/integrations/__pycache__/tinydb.cpython-311.pyc -------------------------------------------------------------------------------- /integrations/__pycache__/__init__.cpython-311.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Div-Infinity/liteLLM-proxy/HEAD/integrations/__pycache__/__init__.cpython-311.pyc -------------------------------------------------------------------------------- /admin-dashboard/src/app/layout.js: -------------------------------------------------------------------------------- 1 | import './globals.css' 2 | import { Inter } from 'next/font/google' 3 | 4 | const inter = Inter({ subsets: ['latin'] }) 5 | 6 | export const metadata = { 7 | title: 'Create Next App', 8 | description: 'Generated by create next app', 9 | } 10 | 11 | export default function RootLayout({ children }) { 12 | return ( 13 | 14 | {children} 15 | 16 | ) 17 | } 18 | -------------------------------------------------------------------------------- /admin-dashboard/.gitignore: -------------------------------------------------------------------------------- 1 | # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. 2 | 3 | # dependencies 4 | /node_modules 5 | /.pnp 6 | .pnp.js 7 | 8 | # testing 9 | /coverage 10 | 11 | # next.js 12 | /.next/ 13 | /out/ 14 | 15 | # production 16 | /build 17 | 18 | # misc 19 | .DS_Store 20 | *.pem 21 | 22 | # debug 23 | npm-debug.log* 24 | yarn-debug.log* 25 | yarn-error.log* 26 | 27 | # local env files 28 | .env*.local 29 | 30 | # vercel 31 | .vercel 32 | 33 | # typescript 34 | *.tsbuildinfo 35 | next-env.d.ts 36 | -------------------------------------------------------------------------------- /admin-dashboard/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "name": "admin-dashboard", 3 | "version": "0.1.0", 4 | "private": true, 5 | "scripts": { 6 | "dev": "next dev", 7 | "build": "next build", 8 | "start": "next start", 9 | "lint": "next lint" 10 | }, 11 | "dependencies": { 12 | "@heroicons/react": "^1.0.6", 13 | "@tremor/react": "^3.6.1", 14 | "autoprefixer": "10.4.15", 15 | "next": "13.4.17", 16 | "postcss": "8.4.28", 17 | "react": "18.2.0", 18 | "react-dom": "18.2.0", 19 | "tailwindcss": "3.3.3" 20 | } 21 | } 22 | -------------------------------------------------------------------------------- /Dockerfile: -------------------------------------------------------------------------------- 1 | # Use a recent version of Python as the base image 2 | FROM python:3.8-slim-buster 3 | 4 | # Set the working directory to /app 5 | WORKDIR /app 6 | 7 | # Copy the requirements.txt file to the image 8 | COPY requirements.txt . 9 | 10 | # Install the required packages 11 | 12 | # Install the required Python packages using pip 13 | RUN pip install --no-cache-dir -r requirements.txt 14 | 15 | # Copy the rest of the application files to the image 16 | COPY . . 17 | 18 | # Expose port 5000 for the Flask app to listen on 19 | EXPOSE 5000 20 | 21 | # Run the main.py file when the container is started 22 | CMD ["python", "main.py"] -------------------------------------------------------------------------------- /admin-dashboard/public/vercel.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /admin-dashboard/src/app/globals.css: -------------------------------------------------------------------------------- 1 | @tailwind base; 2 | @tailwind components; 3 | @tailwind utilities; 4 | 5 | :root { 6 | --foreground-rgb: 0, 0, 0; 7 | --background-start-rgb: 214, 219, 220; 8 | --background-end-rgb: 255, 255, 255; 9 | } 10 | 11 | /* @media (prefers-color-scheme: dark) { 12 | :root { 13 | --foreground-rgb: 255, 255, 255; 14 | --background-start-rgb: 0, 0, 0; 15 | --background-end-rgb: 0, 0, 0; 16 | } 17 | } */ 18 | 19 | body { 20 | color: rgb(var(--foreground-rgb)); 21 | background: linear-gradient( 22 | to bottom, 23 | transparent, 24 | rgb(var(--background-end-rgb)) 25 | ) 26 | rgb(var(--background-start-rgb)); 27 | } 28 | -------------------------------------------------------------------------------- /test_proxy_stream.py: -------------------------------------------------------------------------------- 1 | import openai 2 | import os 3 | 4 | os.environ["OPENAI_API_KEY"] = "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" 5 | 6 | openai.api_key = os.environ["OPENAI_API_KEY"] 7 | openai.api_base ="http://localhost:4000" 8 | 9 | messages = [ 10 | { 11 | "role": "user", 12 | "content": "write a 1 pg essay in liteLLM" 13 | } 14 | ] 15 | 16 | # response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages, stream=True) 17 | response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages, user="krrish@berri.ai") 18 | # response = openai.ChatCompletion.create(model="command-nightly", messages=messages, user="ishaan@berri.ai") 19 | # response = openai.ChatCompletion.create(model="claude-instant-1", messages=messages, user="peter@berri.ai") 20 | print("got response", response) 21 | # response is a generator 22 | 23 | # for chunk in response: 24 | # print(chunk) -------------------------------------------------------------------------------- /integrations/sentry.py: -------------------------------------------------------------------------------- 1 | #### What this does #### 2 | # If an error occurs capture it + it's breadcrumbs with Sentry 3 | 4 | import dotenv, os 5 | import requests 6 | dotenv.load_dotenv() # Loading env variables using dotenv 7 | import traceback 8 | import datetime, subprocess, sys 9 | 10 | class Sentry: 11 | def __init__(self): 12 | # Instance variables 13 | try: 14 | import sentry_sdk 15 | except ImportError: 16 | subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'sentry_sdk']) 17 | import sentry_sdk 18 | sentry_sdk_instance = sentry_sdk 19 | self.sentry_trace_rate = os.environ.get("SENTRY_API_TRACE_RATE") if "SENTRY_API_TRACE_RATE" in os.environ else "1.0" 20 | sentry_sdk_instance.init(dsn=os.environ.get("SENTRY_API_URL"), traces_sample_rate=float(self.sentry_trace_rate)) 21 | self.capture_exception = sentry_sdk_instance.capture_exception 22 | self.add_breadcrumb = sentry_sdk_instance.add_breadcrumb 23 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Berri AI 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /admin-dashboard/public/next.svg: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /admin-dashboard/README.md: -------------------------------------------------------------------------------- 1 | This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). 2 | 3 | ## Getting Started 4 | 5 | First, run the development server: 6 | 7 | ```bash 8 | npm run dev 9 | # or 10 | yarn dev 11 | # or 12 | pnpm dev 13 | ``` 14 | 15 | Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. 16 | 17 | You can start editing the page by modifying `app/page.js`. The page auto-updates as you edit the file. 18 | 19 | This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. 20 | 21 | ## Learn More 22 | 23 | To learn more about Next.js, take a look at the following resources: 24 | 25 | - [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. 26 | - [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. 27 | 28 | You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome! 29 | 30 | ## Deploy on Vercel 31 | 32 | The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. 33 | 34 | Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details. 35 | -------------------------------------------------------------------------------- /models_info.json: -------------------------------------------------------------------------------- 1 | 2 | { 3 | "gpt-3.5-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 4 | "gpt-35-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 5 | "gpt-3.5-turbo-0613": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 6 | "gpt-3.5-turbo-0301": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 7 | "gpt-3.5-turbo-16k": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, 8 | "gpt-35-turbo-16k": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, 9 | "gpt-3.5-turbo-16k-0613": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, 10 | "gpt-4": {"max_tokens": 8000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.00006}, 11 | "gpt-4-0613": {"max_tokens": 8000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.00006}, 12 | "gpt-4-32k": {"max_tokens": 8000, "input_cost_per_token": 0.00006, "output_cost_per_token": 0.00012}, 13 | "claude-instant-1": {"max_tokens": 100000, "input_cost_per_token": 0.00000163, "output_cost_per_token": 0.00000551}, 14 | "claude-2": {"max_tokens": 100000, "input_cost_per_token": 0.00001102, "output_cost_per_token": 0.00003268}, 15 | "text-bison-001": {"max_tokens": 8192, "input_cost_per_token": 0.000004, "output_cost_per_token": 0.000004}, 16 | "chat-bison-001": {"max_tokens": 4096, "input_cost_per_token": 0.000002, "output_cost_per_token": 0.000002}, 17 | "command-nightly": {"max_tokens": 4096, "input_cost_per_token": 0.000015, "output_cost_per_token": 0.000015} 18 | } -------------------------------------------------------------------------------- /admin-dashboard/src/app/components/Navbar.js: -------------------------------------------------------------------------------- 1 | 'use client' 2 | import Link from 'next/link'; 3 | import Image from 'next/image' 4 | import React, { useState } from 'react'; 5 | function Navbar() { 6 | return ( 7 | 28 | ) 29 | } 30 | 31 | export default Navbar; -------------------------------------------------------------------------------- /admin-dashboard/src/app/page.js: -------------------------------------------------------------------------------- 1 | "use client" 2 | import React, { useEffect, useState } from 'react'; 3 | import Image from 'next/image' 4 | import Navbar from './components/Navbar'; 5 | import Table from './components/Table'; 6 | import Logs from './components/Logs'; 7 | import { BadgeDelta, Card, Col, Grid, DeltaType, Flex, Metric, ProgressBar, Text } from "@tremor/react"; 8 | import { Title, LineChart, BarChart} from "@tremor/react"; 9 | 10 | const spend_per_project = [ 11 | { 12 | "spend": 1000, 13 | "project": "QA App", 14 | }, 15 | { 16 | "spend": 500, 17 | "project": "LLM App Playground" 18 | }, 19 | { 20 | "spend": 1500, 21 | "project": "Code Gen Tool" 22 | } 23 | ] 24 | 25 | export default function Home() { 26 | const [data, setData] = useState([]); 27 | 28 | useEffect(() => { 29 | // call your API route to fetch the data 30 | fetch('/api/') 31 | .then(res => res.json()) 32 | .then(resData => setData(resData)) 33 | }, []); 34 | 35 | return ( 36 |
37 | 38 |
39 | 40 | 41 | Spend per project 42 | Total Spend 43 | $ 3000 44 | 52 | 53 | {data && } 54 | 55 | {data && } 56 | 57 | 58 | 59 | ) 60 | } -------------------------------------------------------------------------------- /admin-dashboard/src/app/components/Table.js: -------------------------------------------------------------------------------- 1 | import { StatusOnlineIcon } from "@heroicons/react/outline"; 2 | import { 3 | Card, 4 | Table, 5 | TableHead, 6 | TableRow, 7 | TableHeaderCell, 8 | TableBody, 9 | TableCell, 10 | Text, 11 | Title, 12 | Badge, 13 | } from "@tremor/react"; 14 | 15 | const placeholder_data = [ 16 | { 17 | "name": "krrish@berri.ai", 18 | "project": "QA App", 19 | "total_cost": 100, 20 | "status": "rate-limited" 21 | }, 22 | { 23 | "name": "ishaan@berri.ai", 24 | "project": "Code Gen Tool", 25 | "total_cost": 75, 26 | "status": "near limit" 27 | }, 28 | { 29 | "name": "peter@berri.ai", 30 | "project": "LLM App Playground", 31 | "total_cost": 20, 32 | "status": "normal" 33 | } 34 | ] 35 | 36 | export default (props) => { 37 | console.log("table props: ", props) 38 | return ( 39 | 40 | Top Users 41 |
42 | 43 | 44 | ID 45 | Project 46 | Total Cost 47 | Status 48 | 49 | 50 | {props.data && typeof props.data === 'object' && 51 | 52 | {Object.entries(placeholder_data).map(([key, value]) => ( 53 | 54 | {value.name} 55 | {value.project} 56 | {value.total_cost} 57 | 58 | {value.status == "rate-limited" ? 59 | 60 | {value.status} 61 | 62 | : value.status == "near limit" ? 63 | 64 | {value.status} 65 | 66 | : value.status == "normal" ? 67 | 68 | {value.status} 69 | 70 | : null 71 | } 72 | 73 | 74 | ))} 75 | 76 | } 77 |
78 | 79 | )}; -------------------------------------------------------------------------------- /admin-dashboard/src/app/api/route.js: -------------------------------------------------------------------------------- 1 | // app/api/route.js 👈🏽 2 | 3 | import { NextResponse } from 'next/server' 4 | import fs from 'fs'; 5 | import path from 'path'; 6 | 7 | export async function GET(req, res) { 8 | // Specify the path to your JSON file 9 | const filepath = path.resolve(process.cwd(), '../', 'request_logs.json'); 10 | 11 | try { 12 | // Read the file synchronously 13 | const rawJsonData = fs.readFileSync(filepath, 'utf8'); 14 | 15 | // Parse the file to a JavaScript Object 16 | const jsonData = JSON.parse(rawJsonData); 17 | const finalResponse = {} 18 | const transformedData = []; 19 | let total_cost = 0 20 | let spend_per_key = {} 21 | for (const [key, value] of Object.entries(jsonData._default)) { 22 | total_cost += value.total_cost 23 | if (!spend_per_key.hasOwnProperty(value.request_key)) { 24 | // Create a new key-value pair 25 | let new_key = value.request_key 26 | spend_per_key[new_key] = value.total_cost; 27 | } else { 28 | let new_key = value.request_key 29 | spend_per_key[new_key] += value.total_cost; 30 | } 31 | 32 | let date = new Date(value.created_at*1000); 33 | 34 | // Format the date into YYYY-MM-DD 35 | let formattedDate = `${date.getFullYear()}-${('0' + (date.getMonth()+1)).slice(-2)}-${('0' + date.getDate()).slice(-2)}`; 36 | 37 | // Extract the hours, minutes, and day of the week from the date 38 | let hours = date.getHours(); 39 | let minutes = date.getMinutes(); 40 | let dayOfWeek = date.getDay(); 41 | 42 | // Find index of specific object 43 | var foundIndex = transformedData.findIndex(x => x.time == formattedDate && x.hours == hours && x.minutes == minutes && x.dayOfWeek == dayOfWeek); 44 | 45 | if (foundIndex === -1) { 46 | transformedData.push({ 47 | time: formattedDate, 48 | hours: hours, 49 | minutes: minutes, 50 | dayOfWeek: dayOfWeek, 51 | 'number of requests': 1 // logging for each request in our logs 52 | }); 53 | } else { 54 | transformedData[foundIndex]['number of requests']++; 55 | } 56 | } 57 | 58 | 59 | 60 | console.log("transformedData: ", transformedData) 61 | finalResponse["daily_requests"] = transformedData 62 | finalResponse["total_cost"] = total_cost 63 | finalResponse["spend_per_key"] = spend_per_key 64 | finalResponse["logs"] = Object.values(jsonData._default); 65 | console.log("finalResponse: ", finalResponse) 66 | // Return the processed data in the API response 67 | return NextResponse.json(finalResponse) 68 | res.status(200).json(transformedData); 69 | } catch (err) { 70 | console.error("Failed to load or process file: ", err); 71 | Response('Error reading data', {status: 500}) 72 | } 73 | } -------------------------------------------------------------------------------- /admin-dashboard/src/app/components/Logs.js: -------------------------------------------------------------------------------- 1 | import { StatusOnlineIcon } from "@heroicons/react/outline"; 2 | import { 3 | Card, 4 | Table, 5 | TableHead, 6 | TableRow, 7 | TableHeaderCell, 8 | TableBody, 9 | TableCell, 10 | Text, 11 | Title, 12 | Badge, 13 | } from "@tremor/react"; 14 | 15 | const data = [ 16 | { 17 | name: "Viola Amherd", 18 | Role: "Federal Councillor", 19 | departement: "The Federal Department of Defence, Civil Protection and Sport (DDPS)", 20 | status: "active", 21 | }, 22 | { 23 | name: "Simonetta Sommaruga", 24 | Role: "Federal Councillor", 25 | departement: 26 | "The Federal Department of the Environment, Transport, Energy and Communications (DETEC)", 27 | status: "active", 28 | }, 29 | { 30 | name: "Alain Berset", 31 | Role: "Federal Councillor", 32 | departement: "The Federal Department of Home Affairs (FDHA)", 33 | status: "active", 34 | }, 35 | { 36 | name: "Ignazio Cassis", 37 | Role: "Federal Councillor", 38 | departement: "The Federal Department of Foreign Affairs (FDFA)", 39 | status: "active", 40 | }, 41 | { 42 | name: "Ueli Maurer", 43 | Role: "Federal Councillor", 44 | departement: "The Federal Department of Finance (FDF)", 45 | status: "active", 46 | }, 47 | { 48 | name: "Guy Parmelin", 49 | Role: "Federal Councillor", 50 | departement: "The Federal Department of Economic Affairs, Education and Research (EAER)", 51 | status: "active", 52 | }, 53 | { 54 | name: "Karin Keller-Sutter", 55 | Role: "Federal Councillor", 56 | departement: "The Federal Department of Justice and Police (FDJP)", 57 | status: "active", 58 | }, 59 | ]; 60 | 61 | export default (props) => { 62 | console.log("log props: ", props.data) 63 | return ( 64 | 65 | Request Logs 66 | 67 | 68 | 69 | model 70 | request 71 | response 72 | cost per query 73 | response time 74 | project key 75 | 76 | 77 | 78 | {props.data && typeof props.data === 'object' && 79 | Object.entries(props.data).map(([key, value]) => ( 80 | 81 | {console.log(value)} 82 | {value.model} 83 | {value.messages.map(item => item.content).join(' ')} 84 | 85 | {value.response.substring(0,50)} 86 | 87 | 88 | {value.total_cost.toFixed(5)} 89 | 90 | 91 | {value.response_time} 92 | 93 | 94 | {value.request_key} 95 | 96 | 97 | ))} 98 | 99 |
100 | 101 | )}; -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import traceback 2 | from flask import Flask, request, jsonify, abort, Response 3 | from flask_cors import CORS 4 | import traceback 5 | import litellm 6 | import threading 7 | from litellm import completion 8 | from utils import handle_error, get_cache, add_cache, Logging 9 | import os, dotenv, time 10 | import json 11 | dotenv.load_dotenv() 12 | 13 | # TODO: set your keys in .env or here: 14 | # os.environ["OPENAI_API_KEY"] = "" # set your openai key here 15 | # see supported models / keys here: https://litellm.readthedocs.io/en/latest/supported/ 16 | ######### ENVIRONMENT VARIABLES ########## 17 | verbose = True 18 | 19 | ############ HELPER FUNCTIONS ################################### 20 | 21 | def print_verbose(print_statement): 22 | if verbose: 23 | print(print_statement) 24 | 25 | ######### LOGGING ################### 26 | # # log your data to slack, supabase 27 | successful_callbacks = ["tinydb"] 28 | 29 | ######### ERROR MONITORING ########## 30 | # log errors to slack, sentry, supabase 31 | # litellm.failure_callback=["slack", "sentry", "supabase"] # .env SENTRY_API_URL 32 | failure_callbacks = ["tinydb", "sentry"] 33 | 34 | 35 | 36 | request_logging = Logging(successful_callbacks=successful_callbacks, failure_callbacks=failure_callbacks, verbose=verbose) 37 | 38 | app = Flask(__name__) 39 | CORS(app) 40 | 41 | @app.route('/') 42 | def index(): 43 | return 'received!', 200 44 | 45 | def data_generator(response): 46 | for chunk in response: 47 | yield f"data: {json.dumps(chunk)}\n\n" 48 | 49 | @app.route('/chat/completions', methods=["POST"]) 50 | def api_completion(): 51 | data = request.json 52 | start_time = time.time() 53 | if data.get('stream') == "True": 54 | data['stream'] = True # convert to boolean 55 | try: 56 | ## User-based rate-limiting 57 | ### Check if user id passed in 58 | ### if so -> check key + user combination - if it's a miss, get the user's current status from the db 59 | ### Key based limits 60 | ## Check if key has quota -> check in hot-cache, if it's a miss, get it from the db for the next call 61 | ## LOGGING 62 | request_logging.on_request_start(data) 63 | # COMPLETION CALL 64 | print(f"data: {data}") 65 | response = completion(**data) 66 | print_verbose(f"Got Response: {response}") 67 | ## LOG SUCCESS 68 | end_time = time.time() 69 | threading.Thread(target=request_logging.on_request_success, args=(data, request.headers.get('Authorization'), response, start_time, end_time)).start() 70 | if 'stream' in data and data['stream'] == True: # use generate_responses to stream responses 71 | return Response(data_generator(response), mimetype='text/event-stream') 72 | except Exception as e: 73 | # call handle_error function 74 | print_verbose(f"Got Error api_completion(): {traceback.format_exc()}") 75 | ## LOG FAILURE 76 | end_time = time.time() 77 | traceback_exception = traceback.format_exc() 78 | request_logging.on_request_failure(e, traceback_exception, data, request.headers.get('Authorization'), start_time, end_time) # don't do this threaded - else sentry's capture exception will save the wrong input params (since we're doing model fallbacks) 79 | # raise e 80 | return handle_error(data, request_logging=request_logging, auth_headers=request.headers.get('Authorization'), start_time=start_time) 81 | 82 | print_verbose(f"final response: {response}") 83 | print_verbose(f"type of final response: {type(response)}") 84 | return response 85 | @app.route('/get_models', methods=["POST"]) 86 | def get_models(): 87 | try: 88 | return litellm.model_list 89 | except Exception as e: 90 | traceback.print_exc() 91 | response = {"error": str(e)} 92 | return response, 200 93 | 94 | if __name__ == "__main__": 95 | from waitress import serve 96 | serve(app, host="0.0.0.0", port=4000, threads=500) 97 | 98 | # ############ Caching ################################### 99 | # # make a new endpoint with caching 100 | # # This Cache is built using ChromaDB 101 | # # it has two functions add_cache() and get_cache() 102 | # @app.route('/chat/completions_with_cache', methods=["POST"]) 103 | # def api_completion_with_cache(): 104 | # data = request.json 105 | # try: 106 | # cache_response = get_cache(data['messages']) 107 | # if cache_response!=None: 108 | # return cache_response 109 | # # pass in data to completion function, unpack data 110 | # response = completion(**data) 111 | 112 | # # add to cache 113 | # except Exception as e: 114 | # # call handle_error function 115 | # return handle_error(data) 116 | # return response, 200 117 | 118 | -------------------------------------------------------------------------------- /admin-dashboard/tailwind.config.js: -------------------------------------------------------------------------------- 1 | /** @type {import('tailwindcss').Config} */ 2 | /* eslint-disable max-len */ 3 | module.exports = { 4 | content: [ 5 | "./src/**/*.{js,ts,jsx,tsx}", 6 | "./node_modules/@tremor/**/*.{js,ts,jsx,tsx}", 7 | ], 8 | theme: { 9 | transparent: "transparent", 10 | current: "currentColor", 11 | extend: { 12 | colors: { 13 | // light mode 14 | tremor: { 15 | brand: { 16 | faint: "#eff6ff", // blue-50 17 | muted: "#bfdbfe", // blue-200 18 | subtle: "#60a5fa", // blue-400 19 | DEFAULT: "#3b82f6", // blue-500 20 | emphasis: "#1d4ed8", // blue-700 21 | inverted: "#ffffff", // white 22 | }, 23 | background: { 24 | muted: "#f9fafb", // gray-50 25 | subtle: "#f3f4f6", // gray-100 26 | DEFAULT: "#ffffff", // white 27 | emphasis: "#374151", // gray-700 28 | }, 29 | border: { 30 | DEFAULT: "#e5e7eb", // gray-200 31 | }, 32 | ring: { 33 | DEFAULT: "#e5e7eb", // gray-200 34 | }, 35 | content: { 36 | subtle: "#9ca3af", // gray-400 37 | DEFAULT: "#6b7280", // gray-500 38 | emphasis: "#374151", // gray-700 39 | strong: "#111827", // gray-900 40 | inverted: "#ffffff", // white 41 | }, 42 | }, 43 | // dark mode 44 | "dark-tremor": { 45 | brand: { 46 | faint: "#0B1229", // custom 47 | muted: "#172554", // blue-950 48 | subtle: "#1e40af", // blue-800 49 | DEFAULT: "#3b82f6", // blue-500 50 | emphasis: "#60a5fa", // blue-400 51 | inverted: "#030712", // gray-950 52 | }, 53 | background: { 54 | muted: "#131A2B", // custom 55 | subtle: "#1f2937", // gray-800 56 | DEFAULT: "#111827", // gray-900 57 | emphasis: "#d1d5db", // gray-300 58 | }, 59 | border: { 60 | DEFAULT: "#1f2937", // gray-800 61 | }, 62 | ring: { 63 | DEFAULT: "#1f2937", // gray-800 64 | }, 65 | content: { 66 | subtle: "#4b5563", // gray-600 67 | DEFAULT: "#6b7280", // gray-600 68 | emphasis: "#e5e7eb", // gray-200 69 | strong: "#f9fafb", // gray-50 70 | inverted: "#000000", // black 71 | }, 72 | }, 73 | }, 74 | boxShadow: { 75 | // light 76 | "tremor-input": "0 1px 2px 0 rgb(0 0 0 / 0.05)", 77 | "tremor-card": "0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1)", 78 | "tremor-dropdown": "0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1)", 79 | // dark 80 | "dark-tremor-input": "0 1px 2px 0 rgb(0 0 0 / 0.05)", 81 | "dark-tremor-card": "0 1px 3px 0 rgb(0 0 0 / 0.1), 0 1px 2px -1px rgb(0 0 0 / 0.1)", 82 | "dark-tremor-dropdown": "0 4px 6px -1px rgb(0 0 0 / 0.1), 0 2px 4px -2px rgb(0 0 0 / 0.1)", 83 | }, 84 | borderRadius: { 85 | "tremor-small": "0.375rem", 86 | "tremor-default": "0.5rem", 87 | "tremor-full": "9999px", 88 | }, 89 | fontSize: { 90 | "tremor-label": ["0.75rem"], 91 | "tremor-default": ["0.875rem", { lineHeight: "1.25rem" }], 92 | "tremor-title": ["1.125rem", { lineHeight: "1.75rem" }], 93 | "tremor-metric": ["1.875rem", { lineHeight: "2.25rem" }], 94 | }, 95 | }, 96 | }, 97 | safelist: [ 98 | { 99 | pattern: 100 | /^(bg-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 101 | variants: ["hover", "ui-selected"], 102 | }, 103 | { 104 | pattern: 105 | /^(text-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 106 | variants: ["hover", "ui-selected"], 107 | }, 108 | { 109 | pattern: 110 | /^(border-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 111 | variants: ["hover", "ui-selected"], 112 | }, 113 | { 114 | pattern: 115 | /^(ring-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 116 | }, 117 | { 118 | pattern: 119 | /^(stroke-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 120 | }, 121 | { 122 | pattern: 123 | /^(fill-(?:slate|gray|zinc|neutral|stone|red|orange|amber|yellow|lime|green|emerald|teal|cyan|sky|blue|indigo|violet|purple|fuchsia|pink|rose)-(?:50|100|200|300|400|500|600|700|800|900|950))$/, 124 | }, 125 | ], 126 | plugins: [require("@headlessui/tailwindcss")], 127 | }; 128 | -------------------------------------------------------------------------------- /readme.md: -------------------------------------------------------------------------------- 1 | 2 | # liteLLM Proxy Server: 50+ LLM Models, Error Handling, Caching 3 | ### Azure, Llama2, OpenAI, Claude, Hugging Face, Replicate Models 4 | [![PyPI Version](https://img.shields.io/pypi/v/litellm.svg)](https://pypi.org/project/litellm/) 5 | [![PyPI Version](https://img.shields.io/badge/stable%20version-v0.1.345-blue?color=green&link=https://pypi.org/project/litellm/0.1.1/)](https://pypi.org/project/litellm/0.1.1/) 6 | ![Downloads](https://img.shields.io/pypi/dm/litellm) 7 | [![litellm](https://img.shields.io/badge/%20%F0%9F%9A%85%20liteLLM-OpenAI%7CAzure%7CAnthropic%7CPalm%7CCohere%7CReplicate%7CHugging%20Face-blue?color=green)](https://github.com/BerriAI/litellm) 8 | 9 | [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/DYqQAW?referralCode=t3ukrU) 10 | 11 | ## What does liteLLM proxy do 12 | - Make `/chat/completions` requests for 50+ LLM models **Azure, OpenAI, Replicate, Anthropic, Hugging Face** 13 | 14 | Example: for `model` use `claude-2`, `gpt-3.5`, `gpt-4`, `command-nightly`, `stabilityai/stablecode-completion-alpha-3b-4k` 15 | ```json 16 | { 17 | "model": "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1", 18 | "messages": [ 19 | { 20 | "content": "Hello, whats the weather in San Francisco??", 21 | "role": "user" 22 | } 23 | ] 24 | } 25 | ``` 26 | - **Consistent Input/Output** Format 27 | - Call all models using the OpenAI format - `completion(model, messages)` 28 | - Text responses will always be available at `['choices'][0]['message']['content']` 29 | - **Error Handling** Using Model Fallbacks (if `GPT-4` fails, try `llama2`) 30 | - **Logging** - Log Requests, Responses and Errors to `Supabase`, `Posthog`, `Mixpanel`, `Sentry`, `Helicone` (Any of the supported providers here: https://litellm.readthedocs.io/en/latest/advanced/ 31 | 32 | **Example: Logs sent to Supabase** 33 | Screenshot 2023-08-11 at 4 02 46 PM 34 | 35 | - **Token Usage & Spend** - Track Input + Completion tokens used + Spend/model 36 | - **Caching** - Implementation of Semantic Caching 37 | - **Streaming & Async Support** - Return generators to stream text responses 38 | 39 | 40 | ## API Endpoints 41 | 42 | ### `/chat/completions` (POST) 43 | 44 | This endpoint is used to generate chat completions for 50+ support LLM API Models. Use llama2, GPT-4, Claude2 etc 45 | 46 | #### Input 47 | This API endpoint accepts all inputs in raw JSON and expects the following inputs 48 | - `model` (string, required): ID of the model to use for chat completions. See all supported models [here]: (https://litellm.readthedocs.io/en/latest/supported/): 49 | eg `gpt-3.5-turbo`, `gpt-4`, `claude-2`, `command-nightly`, `stabilityai/stablecode-completion-alpha-3b-4k` 50 | - `messages` (array, required): A list of messages representing the conversation context. Each message should have a `role` (system, user, assistant, or function), `content` (message text), and `name` (for function role). 51 | - Additional Optional parameters: `temperature`, `functions`, `function_call`, `top_p`, `n`, `stream`. See the full list of supported inputs here: https://litellm.readthedocs.io/en/latest/input/ 52 | 53 | 54 | #### Example JSON body 55 | For claude-2 56 | ```json 57 | { 58 | "model": "claude-2", 59 | "messages": [ 60 | { 61 | "content": "Hello, whats the weather in San Francisco??", 62 | "role": "user" 63 | } 64 | ] 65 | 66 | } 67 | ``` 68 | 69 | ### Making an API request to the Proxy Server 70 | ```python 71 | import requests 72 | import json 73 | 74 | # TODO: use your URL 75 | url = "http://localhost:5000/chat/completions" 76 | 77 | payload = json.dumps({ 78 | "model": "gpt-3.5-turbo", 79 | "messages": [ 80 | { 81 | "content": "Hello, whats the weather in San Francisco??", 82 | "role": "user" 83 | } 84 | ] 85 | }) 86 | headers = { 87 | 'Content-Type': 'application/json' 88 | } 89 | response = requests.request("POST", url, headers=headers, data=payload) 90 | print(response.text) 91 | 92 | ``` 93 | 94 | ### Output [Response Format] 95 | Responses from the server are given in the following format. 96 | All responses from the server are returned in the following format (for all LLM models). More info on output here: https://litellm.readthedocs.io/en/latest/output/ 97 | ```json 98 | { 99 | "choices": [ 100 | { 101 | "finish_reason": "stop", 102 | "index": 0, 103 | "message": { 104 | "content": "I'm sorry, but I don't have the capability to provide real-time weather information. However, you can easily check the weather in San Francisco by searching online or using a weather app on your phone.", 105 | "role": "assistant" 106 | } 107 | } 108 | ], 109 | "created": 1691790381, 110 | "id": "chatcmpl-7mUFZlOEgdohHRDx2UpYPRTejirzb", 111 | "model": "gpt-3.5-turbo-0613", 112 | "object": "chat.completion", 113 | "usage": { 114 | "completion_tokens": 41, 115 | "prompt_tokens": 16, 116 | "total_tokens": 57 117 | } 118 | } 119 | ``` 120 | 121 | ## Installation & Usage 122 | ### Running Locally 123 | 1. Clone liteLLM repository to your local machine: 124 | ``` 125 | git clone https://github.com/BerriAI/liteLLM-proxy 126 | ``` 127 | 2. Install the required dependencies using pip 128 | ``` 129 | pip install requirements.txt 130 | ``` 131 | 3. Set your LLM API keys 132 | ``` 133 | os.environ['OPENAI_API_KEY]` = "YOUR_API_KEY" 134 | or 135 | set OPENAI_API_KEY in your .env file 136 | ``` 137 | 4. Run the server: 138 | ``` 139 | python main.py 140 | ``` 141 | 142 | 143 | 144 | Deploying 145 | 1. Quick Start: Deploy on Railway 146 | 147 | [![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/DYqQAW?referralCode=t3ukrU) 148 | 149 | 2. `GCP`, `AWS`, `Azure` 150 | This project includes a `Dockerfile` allowing you to build and deploy a Docker Project on your providers 151 | 152 | 153 | 154 | 155 | 156 | -------------------------------------------------------------------------------- /integrations/tinydb.py: -------------------------------------------------------------------------------- 1 | #### What this does #### 2 | # Log events to a local db - TinyDB, for easy cost tracking 3 | 4 | import dotenv, os 5 | import requests 6 | dotenv.load_dotenv() # Loading env variables using dotenv 7 | import traceback 8 | import datetime, subprocess, sys 9 | 10 | model_cost = { 11 | "gpt-3.5-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 12 | "gpt-35-turbo": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, # azure model name 13 | "gpt-3.5-turbo-0613": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 14 | "gpt-3.5-turbo-0301": {"max_tokens": 4000, "input_cost_per_token": 0.0000015, "output_cost_per_token": 0.000002}, 15 | "gpt-3.5-turbo-16k": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, 16 | "gpt-35-turbo-16k": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, # azure model name 17 | "gpt-3.5-turbo-16k-0613": {"max_tokens": 16000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.000004}, 18 | "gpt-4": {"max_tokens": 8000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.00006}, 19 | "gpt-4-0613": {"max_tokens": 8000, "input_cost_per_token": 0.000003, "output_cost_per_token": 0.00006}, 20 | "gpt-4-32k": {"max_tokens": 8000, "input_cost_per_token": 0.00006, "output_cost_per_token": 0.00012}, 21 | "claude-instant-1": {"max_tokens": 100000, "input_cost_per_token": 0.00000163, "output_cost_per_token": 0.00000551}, 22 | "claude-2": {"max_tokens": 100000, "input_cost_per_token": 0.00001102, "output_cost_per_token": 0.00003268}, 23 | "text-bison-001": {"max_tokens": 8192, "input_cost_per_token": 0.000004, "output_cost_per_token": 0.000004}, 24 | "chat-bison-001": {"max_tokens": 4096, "input_cost_per_token": 0.000002, "output_cost_per_token": 0.000002}, 25 | "command-nightly": {"max_tokens": 4096, "input_cost_per_token": 0.000015, "output_cost_per_token": 0.000015}, 26 | } 27 | 28 | class TinyDB: 29 | # Class variables or attributes 30 | tinydb_table_name = "request_logs" 31 | def __init__(self): 32 | # Instance variables 33 | try: 34 | import tinydb 35 | from tinydb import TinyDB 36 | except ImportError: 37 | subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'tinydb']) 38 | from tinydb import TinyDB 39 | self.db = TinyDB(f'{self.tinydb_table_name}.json') 40 | 41 | def price_calculator(self, model, response_obj, start_time, end_time): 42 | # try and find if the model is in the model_cost map 43 | # else default to the average of the costs 44 | prompt_tokens_cost_usd_dollar = 0 45 | completion_tokens_cost_usd_dollar = 0 46 | if model in model_cost: 47 | prompt_tokens_cost_usd_dollar = model_cost[model]["input_cost_per_token"] * response_obj["usage"]["prompt_tokens"] 48 | completion_tokens_cost_usd_dollar = model_cost[model]["output_cost_per_token"] * response_obj["usage"]["completion_tokens"] 49 | elif "replicate" in model: 50 | # replicate models are charged based on time 51 | # llama 2 runs on an nvidia a100 which costs $0.0032 per second - https://replicate.com/replicate/llama-2-70b-chat 52 | model_run_time = end_time - start_time # assuming time in seconds 53 | cost_usd_dollar = model_run_time * 0.0032 54 | prompt_tokens_cost_usd_dollar = cost_usd_dollar / 2 55 | completion_tokens_cost_usd_dollar = cost_usd_dollar / 2 56 | else: 57 | # calculate average input cost 58 | input_cost_sum = 0 59 | output_cost_sum = 0 60 | for model in model_cost: 61 | input_cost_sum += model_cost[model]["input_cost_per_token"] 62 | output_cost_sum += model_cost[model]["output_cost_per_token"] 63 | avg_input_cost = input_cost_sum / len(model_cost.keys()) 64 | avg_output_cost = output_cost_sum / len(model_cost.keys()) 65 | prompt_tokens_cost_usd_dollar = model_cost[model]["input_cost_per_token"] * response_obj["usage"]["prompt_tokens"] 66 | completion_tokens_cost_usd_dollar = model_cost[model]["output_cost_per_token"] * response_obj["usage"]["completion_tokens"] 67 | return prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar 68 | 69 | def log_event(self, model, messages, user, request_key, response_obj, start_time, end_time, print_verbose): 70 | try: 71 | print_verbose(f"TinyDB Logging - Enters logging function for model {model}, response_obj: {response_obj}", level=2) 72 | 73 | prompt_tokens_cost_usd_dollar, completion_tokens_cost_usd_dollar = self.price_calculator(model, response_obj, start_time, end_time) 74 | total_cost = prompt_tokens_cost_usd_dollar + completion_tokens_cost_usd_dollar 75 | 76 | response_time = end_time-start_time 77 | if "choices" in response_obj: 78 | tinydb_data_obj = { 79 | "request_key": request_key.replace("Bearer ", ""), 80 | "response_time": response_time, 81 | "user": user, 82 | "created_at": response_obj["created"], 83 | "model": response_obj["model"], 84 | "total_cost": total_cost, 85 | "messages": messages, 86 | "response": response_obj['choices'][0]['message']['content'] 87 | } 88 | print_verbose(f"TinyDB Logging - final data object: {tinydb_data_obj}", level=2) 89 | self.db.insert(tinydb_data_obj) 90 | elif "error" in response_obj: 91 | tinydb_data_obj = { 92 | "response_time": response_time, 93 | "user": user, 94 | "created_at": response_obj["created"], 95 | "model": response_obj["model"], 96 | "total_cost": total_cost, 97 | "messages": messages, 98 | "error": response_obj['error'] 99 | } 100 | print_verbose(f"TinyDB Logging - final data object: {tinydb_data_obj}", level=2) 101 | self.db.insert(tinydb_data_obj) 102 | 103 | except: 104 | traceback.print_exc() 105 | print_verbose(f"TinyDB Logging Error - {traceback.format_exc()}", level=2) 106 | pass 107 | -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | import time, random, sys, subprocess, threading 2 | from copy import deepcopy 3 | import litellm 4 | from litellm import completion, embedding 5 | import os, dotenv, traceback 6 | import json 7 | dotenv.load_dotenv() 8 | from integrations.tinydb import TinyDB 9 | from integrations.sentry import Sentry 10 | ######### ENVIRONMNET VARIABLES ########## 11 | callback_list = [] 12 | tinyDBClient = None 13 | backup_keys = {key: "" for key in litellm.provider_list} 14 | for key in backup_keys: 15 | if key == "openai": 16 | backup_keys[key] = os.getenv("OPENAI_BACKUP_API_KEY") 17 | elif key == "cohere": 18 | backup_keys[key] = os.getenv("COHERE_BACKUP_API_KEY") 19 | elif key == "anthropic": 20 | backup_keys[key] = os.getenv("ANTHROPIC_BACKUP_API_KEY") 21 | elif key == "replicate": 22 | backup_keys[key] = os.getenv("REPLICATE_BACKUP_API_KEY") 23 | elif key == "huggingface": 24 | backup_keys[key] = os.getenv("HUGGINGFACE_BACKUP_API_KEY") 25 | elif key == "together_ai": 26 | backup_keys[key] = os.getenv("TOGETHERAI_BACKUP_API_KEY") 27 | elif key == "vertex_ai": 28 | backup_keys[key] = os.getenv("VERTEXAI_BACKUP_API_KEY") 29 | elif key == "ai21": 30 | backup_keys[key] = os.getenv("AI21_BACKUP_API_KEY") 31 | ########### streaming ############################ 32 | def generate_responses(response): 33 | for chunk in response: 34 | yield json.dumps({"response": chunk}) + "\n" 35 | 36 | ################ ERROR HANDLING ##################### 37 | # implement model fallbacks, cooldowns, and retries 38 | # if a model fails assume it was rate limited and let it cooldown for 60s 39 | def handle_error(data, request_logging, auth_headers, start_time): 40 | # retry completion() request with fallback models 41 | response = None 42 | data.pop("model") 43 | rate_limited_models = set() 44 | model_expiration_times = {} 45 | fallback_strategy=['claude-instant-1', 'gpt-3.5-turbo', 'command-nightly'] 46 | for model in fallback_strategy: 47 | response = None 48 | attempt = 0 49 | new_data = deepcopy(data) 50 | execution_complete = False 51 | for attempt in range(2): 52 | try: 53 | if model in rate_limited_models: # check if model is currently cooling down 54 | if model_expiration_times.get(model) and time.time() >= model_expiration_times[model]: 55 | rate_limited_models.remove(model) # check if it's been 60s of cool down and remove model 56 | else: 57 | continue # skip model 58 | ## PREPARE FOR CALL 59 | if isinstance(model, str): 60 | new_data["model"] = model 61 | elif isinstance(model, dict): 62 | new_data["model"] = model["model"] 63 | new_data["custom_llm_provider"] = model["custom_llm_provider"] if "custom_llm_provider" in model else None 64 | new_data["custom_api_base"] = model["custom_api_base"] if "custom_api_base" in model else None 65 | print("model type: ", type(model)) 66 | print(f"new_data[model]: {new_data['model']}") 67 | ## COMPLETION CALL 68 | response = completion(**new_data) 69 | except Exception as e: 70 | print(f"Got Error handle_error(): {e}") 71 | end_time = time.time() 72 | traceback_exception = traceback.format_exc() 73 | request_logging.on_request_failure(e, traceback_exception, data, auth_headers, start_time, end_time) # don't do this threaded - else sentry's capture exception will save the wrong input params (since we're doing model fallbacks) 74 | error_type = type(e).__name__ 75 | print(f"error_type handle_error(): {error_type}") 76 | llm_provider = e.llm_provider 77 | if "AuthenticationError" in error_type and attempt < 1: # don't retry twice with a bad model key 78 | print(f"handle_error() - Input new_data: {new_data} \n Environment Variables: {os.environ}") 79 | # switch to the next key 80 | new_data["api_key"] = backup_keys[llm_provider] # dynamically set the backup key - litellm checks this before checking os.environ - https://github.com/BerriAI/litellm/blob/cff26b1d08ba240dcecea7df78a7833990336e6b/litellm/main.py#L112 81 | elif attempt > 0: # wait a random period before retrying 82 | # wait a random period before retrying 83 | wait_time = random.randint(1, 10) 84 | time.sleep(wait_time) 85 | elif attempt == 2: 86 | rate_limited_models.add(model) 87 | if response != None: 88 | break 89 | if response != None: 90 | end_time = time.time() 91 | ## LOGGING SUCCESS 92 | threading.Thread(target=request_logging.on_request_success, args=(new_data, auth_headers, response, start_time, end_time)).start() # don't block execution of main thread 93 | break 94 | return response 95 | 96 | 97 | ########### Pricing is tracked in Supabase ############ 98 | 99 | 100 | 101 | import uuid 102 | cache_collection = None 103 | # Add a response to the cache 104 | def add_cache(messages, model_response): 105 | global cache_collection 106 | if cache_collection is None: 107 | make_collection() 108 | 109 | user_question = message_to_user_question(messages) 110 | 111 | # Add the user question and model response to the cache 112 | cache_collection.add( 113 | documents=[user_question], 114 | metadatas=[{"model_response": str(model_response)}], 115 | ids=[str(uuid.uuid4())] 116 | ) 117 | return 118 | 119 | # Retrieve a response from the cache if similarity is above the threshold 120 | def get_cache(messages, similarity_threshold): 121 | try: 122 | global cache_collection 123 | if cache_collection is None: 124 | make_collection() 125 | 126 | user_question = message_to_user_question(messages) 127 | 128 | # Query the cache for the user question 129 | results = cache_collection.query( 130 | query_texts=[user_question], 131 | n_results=1 132 | ) 133 | 134 | if len(results['distances'][0]) == 0: 135 | return None # Cache is empty 136 | 137 | distance = results['distances'][0][0] 138 | sim = (1 - distance) 139 | 140 | if sim >= similarity_threshold: 141 | return results['metadatas'][0][0]["model_response"] # Return cached response 142 | else: 143 | return None # No cache hit 144 | except Exception as e: 145 | print("Error in get cache", e) 146 | raise e 147 | 148 | # Initialize the cache collection 149 | def make_collection(): 150 | import chromadb 151 | global cache_collection 152 | client = chromadb.Client() 153 | cache_collection = client.create_collection("llm_responses") 154 | 155 | # HELPER: Extract user's question from messages 156 | def message_to_user_question(messages): 157 | user_question = "" 158 | for message in messages: 159 | if message['role'] == 'user': 160 | user_question += message["content"] 161 | return user_question 162 | 163 | 164 | class Logging: 165 | def __init__(self, successful_callbacks, failure_callbacks, verbose, verbose_level=1): 166 | # Constructor 167 | self.verbose = verbose 168 | self.verbose_level = verbose_level 169 | self.successful_callbacks = successful_callbacks 170 | self.failure_callbacks = failure_callbacks 171 | self.callback_list = list(set(successful_callbacks + failure_callbacks)) 172 | self.tinyDBClient = None 173 | self.sentryClient = None 174 | self.init_callbacks() 175 | 176 | def print_verbose(self, print_statement, level): 177 | if self.verbose and self.verbose_level == level: 178 | print(print_statement) 179 | 180 | def init_callbacks(self): 181 | for callback in self.callback_list: 182 | if callback == "tinydb": 183 | self.tinyDBClient = TinyDB() 184 | if callback == "sentry": 185 | self.sentryClient = Sentry() 186 | 187 | 188 | def on_request_start(self, data): 189 | # Any logging to be done before function is executed - Non-blocking 190 | try: 191 | if self.sentryClient: 192 | self.sentryClient.add_breadcrumb( 193 | category="litellm.proxy.llm_call", 194 | message=f"Input Data: {data} \n Environment Variables: {os.environ}", 195 | level="info", 196 | ) 197 | pass 198 | except: 199 | traceback.print_exc() 200 | self.print_verbose(f"Got Error on_request_start: {traceback.format_exc()}", level=1) 201 | 202 | def on_request_success(self, data, request_key, result, start_time, end_time): 203 | # log event on success - Non-blocking 204 | try: 205 | for callback in self.successful_callbacks: 206 | if callback == "tinydb": 207 | model = data["model"] 208 | messages = data["messages"] 209 | user = data["user"] if "user" in data else None 210 | request_key = request_key 211 | self.tinyDBClient.log_event(model=model, messages=messages, user=user, request_key=request_key, response_obj = result, start_time=start_time, end_time=end_time, print_verbose=self.print_verbose) 212 | except: 213 | traceback.print_exc() 214 | self.print_verbose(f"Got Error on_request_success: {traceback.format_exc()}", level=1) 215 | pass 216 | 217 | def on_request_failure(self, exception, traceback_exception, data, request_key, start_time, end_time): 218 | # log event on failure - Non-blocking 219 | try: 220 | self.print_verbose(f"failure callbacks: {self.failure_callbacks}", level=2) 221 | for callback in self.failure_callbacks: 222 | if callback == "tinydb": 223 | model = data["model"] 224 | messages = data["messages"] 225 | request_key = request_key 226 | user = data["user"] if "user" in data else None 227 | result = { 228 | "model": model, 229 | "created": time.time(), 230 | "error": traceback_exception, 231 | "usage": { 232 | "prompt_tokens": litellm.token_counter(model, text=" ".join(message["content"] for message in messages)), 233 | "completion_tokens": 0 234 | } 235 | } 236 | self.tinyDBClient.log_event(model=model, messages=messages, user=user, request_key=request_key, response_obj = result, start_time=start_time, end_time=end_time, print_verbose=self.print_verbose) 237 | if callback == "sentry": 238 | self.sentryClient.capture_exception(exception) 239 | except: 240 | self.print_verbose(f"Got Error on_request_failure: {traceback.format_exc()}", level=1) 241 | pass -------------------------------------------------------------------------------- /request_logs.json: -------------------------------------------------------------------------------- 1 | {"_default": {"1": {"request_key": "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", "response_time": 1.0259308815002441, "user": "krrish@berri.ai", "created_at": 1692328106, "model": "gpt-3.5-turbo-0613", "total_cost": 6.35e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": "Clarifying the requested language: Is it \"liteLLM\" or \"Lite LLM\"?"}, "2": {"request_key": "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", "response_time": 0.909782886505127, "user": "ishaan@berri.ai", "created_at": 1692328108.1154199, "model": "command-nightly", "total_cost": 0.00045000000000000004, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": " LiteLLM is a language model that can be used to generate text based on a given prompt."}, "3": {"response_time": 0.006799936294555664, "user": "krrish@berri.ai", "created_at": 1692365843.349687, "model": "claude-instant-1", "total_cost": 1.63e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 64, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "4": {"response_time": 0.004435062408447266, "user": "krrish@berri.ai", "created_at": 1692366062.7117639, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 64, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "5": {"response_time": 0.0068759918212890625, "user": "krrish@berri.ai", "created_at": 1692366150.066541, "model": "claude-instant-1", "total_cost": 1.63e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "6": {"response_time": 0.003229856491088867, "user": "krrish@berri.ai", "created_at": 1692366181.920657, "model": "claude-instant-1", "total_cost": 1.63e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "7": {"response_time": 0.006825923919677734, "user": "krrish@berri.ai", "created_at": 1692366503.671454, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "8": {"response_time": 0.006394147872924805, "user": "krrish@berri.ai", "created_at": 1692367073.693057, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "9": {"response_time": 0.006788969039916992, "user": "krrish@berri.ai", "created_at": 1692367194.660077, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "10": {"response_time": 0.0050640106201171875, "user": "krrish@berri.ai", "created_at": 1692367267.247115, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "11": {"response_time": 0.005023002624511719, "user": "krrish@berri.ai", "created_at": 1692367311.4849532, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "12": {"response_time": 0.00492095947265625, "user": "krrish@berri.ai", "created_at": 1692367398.853602, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "13": {"response_time": 0.006744861602783203, "user": "krrish@berri.ai", "created_at": 1692367518.815507, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "14": {"response_time": 0.0064618587493896484, "user": "krrish@berri.ai", "created_at": 1692367601.004457, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "15": {"response_time": 0.007676124572753906, "user": "krrish@berri.ai", "created_at": 1692367952.4628842, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "16": {"response_time": 0.0051152706146240234, "user": "krrish@berri.ai", "created_at": 1692367998.5826821, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "17": {"request_key": "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", "response_time": 7.444961071014404, "user": "krrish@berri.ai", "created_at": 1692368006.020113, "model": "claude-instant-1", "total_cost": 0.00109828, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": " Here is a one paragraph essay in a simplified style that can be understood by most readers:\n\nLearning a new language is both difficult and rewarding. When you start learning a new language, everything seems strange and unfamiliar. The words don't sound right, the grammar is different than what you're used to, and you have trouble putting sentences together. It can feel like your brain is being asked to work in a whole new way. But if you stick with it and keep practicing everyday, little by little you'll start to understand more. Simple words and phrases will become familiar. Your pronunciation and accent will start to improve. Reading comprehension and conversation ability increases over time through consistent hard work. While learning a new language takes dedication, seeing your skills grow bit by bit is very satisfying. Mastering a new language opens up new ways of thinking and allows you to connect with more people in the world. The challenges of learning are outweighed by the many benefits of becoming multilingual."}, "18": {"response_time": 0.00702977180480957, "user": "krrish@berri.ai", "created_at": 1692368100.3468301, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "19": {"request_key": "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", "response_time": 6.530564069747925, "user": "krrish@berri.ai", "created_at": 1692368106.86482, "model": "claude-instant-1", "total_cost": 0.00102665, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": " Here is a one paragraph essay written in a more simplified language style:\n\nCaring for our world is important. The Earth gives us many good things like fresh air, clean water, plants and animals. But sometimes we hurt the Earth without meaning to. When we leave trash on the ground, it can hurt plants and animals. Trash also makes the Earth and water dirty. Many people are trying to help fix this problem. We can help too by putting our trash in the garbage can. We should also try to use less things that are bad for the Earth like plastic. If we all work together to take care of the Earth, it will stay healthy for a long time. Then future kids and their kids will get to enjoy the Earth too. They will get to see cool animals and breathe fresh air just like we do now. We need to protect the Earth so that others can enjoy it after us."}, "20": {"response_time": 0.00669097900390625, "user": "krrish@berri.ai", "created_at": 1692368168.629498, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "21": {"response_time": 0.005354881286621094, "user": "krrish@berri.ai", "created_at": 1692368219.4735959, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "22": {"request_key": "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", "response_time": 4.679172992706299, "user": "krrish@berri.ai", "created_at": 1692368224.141632, "model": "claude-instant-1", "total_cost": 0.00107624, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": " Here is a one paragraph essay written in a liteLLM style:\n\nThe other day I was chillin at home watchin some Netflix and thinking about life, you know, the usual stuff. But then I started ponderin' about how we're always on our phones these days scrollin through socials and whatnot. Don't get me wrong, I love me some Instagram and TikTok, but I was noticing how we never really be in the moment no more, you feel? Like back in the day people would just be hangin out together in person without all the distractions. So I think we should all try makin more of an effort to put the phones away sometimes and really connect with those around us. It ain't good for our mental health or our relationships if we always glued to a screen instead of each other. We needa find a better balance, and remember that real life is usually better than what we see online."}, "23": {"response_time": 0.0068359375, "user": "krrish@berri.ai", "created_at": 1692368446.20898, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "24": {"response_time": 0.006057024002075195, "user": "krrish@berri.ai", "created_at": 1692368534.359404, "model": "gpt-3.5-turbo", "total_cost": 1.5e-05, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "error": "Traceback (most recent call last):\n File \"/Users/krrishdholakia/Documents/liteLLM-proxy/main.py\", line 65, in api_completion\n response = completion(**data)\n ^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 243, in wrapper\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 227, in wrapper\n result = original_function(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 44, in wrapper\n result = future.result(timeout=local_timeout_duration)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 456, in result\n return self.__get_result()\n ^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/concurrent/futures/_base.py\", line 401, in __get_result\n raise self._exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/timeout.py\", line 35, in async_func\n return func(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 462, in completion\n raise exception_type(model=model, custom_llm_provider=custom_llm_provider, original_exception=e)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 751, in exception_type\n raise e\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/utils.py\", line 688, in exception_type\n raise original_exception\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/litellm/main.py\", line 108, in completion\n response = openai.ChatCompletion.create(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/chat_completion.py\", line 25, in create\n return super().create(*args, **kwargs)\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 149, in create\n ) = cls.__prepare_create_request(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_resources/abstract/engine_api_resource.py\", line 106, in __prepare_create_request\n requestor = api_requestor.APIRequestor(\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/api_requestor.py\", line 138, in __init__\n self.api_key = key or util.default_api_key()\n ^^^^^^^^^^^^^^^^^^^^^^\n File \"/Library/Frameworks/Python.framework/Versions/3.11/lib/python3.11/site-packages/openai/util.py\", line 186, in default_api_key\n raise openai.error.AuthenticationError(\nopenai.error.AuthenticationError: No API key provided. You can set your API key in code using 'openai.api_key = ', or you can set the environment variable OPENAI_API_KEY=). If your API key is stored in a file, you can point the openai module at it with 'openai.api_key_path = '. You can generate API keys in the OpenAI web interface. See https://platform.openai.com/account/api-keys for details.\n"}, "25": {"request_key": "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", "response_time": 6.62284779548645, "user": "krrish@berri.ai", "created_at": 1692368540.971305, "model": "claude-instant-1", "total_cost": 0.00137929, "messages": [{"role": "user", "content": "write a 1 pg essay in liteLLM"}], "response": " Here is a one page essay in light romance prose:\n\nThe sun was beginning to set over the rolling green hills as Elaina walked along the old stone path. A light breeze stirred the towering oak trees that lined the way, sending flickering shadows dancing across the ground. It had been a long day in the village market, bartering for goods and supplies, but the solitude of the countryside path soothed her tired soul. \n\nAs she walked, her thoughts turned to Thomas. It had been nearly a week since she had seen the farmer from the neighbouring farm. His strong yet gentle manner always made her heart flutter, even from afar. Would he be finishing his chores soon and making his own way home along this very path? Elaina quickened her step slightly at the thought of a chance encounter in the gathering dusk. \n\nRounding the corner, movement in the distance caught her eye. A lone figure was walking towards her, a straw hat shielding their face from the fading light. As they drew nearer, Elaina\u2019s breath caught in her throat. It was Thomas. 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