add example nb using litellm
ishaan-jaff
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06fb730486
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "MZ01up0p7wOJ"
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},
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"source": [
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"## 🚅 liteLLM Demo\n",
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"### TLDR: Call 50+ LLM APIs using chatGPT Input/Output format\n",
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"https://github.com/BerriAI/litellm\n",
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"\n",
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"liteLLM is package to simplify calling **OpenAI, Azure, Llama2, Cohere, Anthropic, Huggingface API Endpoints**. LiteLLM manages\n",
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"\n",
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"* Translating inputs to the provider's `completion()` and `embedding()` endpoints\n",
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"* Guarantees consistent output, text responses will always be available at `['choices'][0]['message']['content']`\n",
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"* Exception mapping - common exceptions across providers are mapped to the OpenAI exception types\n",
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"\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "RZtzCnQS7rW-"
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},
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"source": [
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"## Installation and setting Params"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "rsrN5W-N7L8d"
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},
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"outputs": [],
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"source": [
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"!pip install litellm"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"id": "ArrWyG5b7QAG"
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},
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"outputs": [],
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"source": [
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"from litellm import completion\n",
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"import os"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "bbhJRt34_NJ1"
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},
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"source": [
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"## Set your API keys\n",
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"- liteLLM reads your .env, env variables or key manager for Auth\n",
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"\n",
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"Set keys for the models you want to use below"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"id": "-h8Ga5cR7SvV"
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},
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"outputs": [],
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"source": [
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"# Only set keys for the LLMs you want to use\n",
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"os.environ['OPENAI_API_KEY'] = \"\" #@param\n",
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"os.environ[\"ANTHROPIC_API_KEY\"] = \"\" #@param\n",
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"os.environ[\"AZURE_API_BASE\"] = \"\" #@param\n",
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"os.environ[\"AZURE_API_VERSION\"] = \"\" #@param\n",
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"os.environ[\"AZURE_API_KEY\"] = \"\" #@param\n",
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"os.environ[\"REPLICATE_API_TOKEN\"] = \"\" #@param\n",
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"os.environ[\"COHERE_API_KEY\"] = \"\" #@param\n",
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"os.environ[\"HF_TOKEN\"] = \"\" #@param"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"id": "MBujGiby8YBu"
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},
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"outputs": [],
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"source": [
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"messages = [{ \"content\": \"what's the weather in SF\",\"role\": \"user\"}]"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "fhqpKv6L8fBj"
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},
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"source": [
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"## Call chatGPT"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "speIkoX_8db4",
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"outputId": "331a6c65-f121-4e65-e121-bf8aaad05d9d"
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<OpenAIObject chat.completion id=chatcmpl-7vYWJYYUeFuhjCiOjI9JXK6gNmWk3 at 0x1067d42c0> JSON: {\n",
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" \"id\": \"chatcmpl-7vYWJYYUeFuhjCiOjI9JXK6gNmWk3\",\n",
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" \"object\": \"chat.completion\",\n",
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" \"created\": 1693951747,\n",
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" \"model\": \"gpt-3.5-turbo-0613\",\n",
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" \"choices\": [\n",
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" {\n",
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" \"index\": 0,\n",
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" \"message\": {\n",
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" \"role\": \"assistant\",\n",
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" \"content\": \"I apologize, but as an AI language model, I do not have real-time data. However, you can easily find the current weather conditions in San Francisco, California by checking a trusted weather website or using a weather app on your smartphone.\"\n",
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" },\n",
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" \"finish_reason\": \"stop\"\n",
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" }\n",
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" ],\n",
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" \"usage\": {\n",
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" \"prompt_tokens\": 13,\n",
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" \"completion_tokens\": 48,\n",
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" \"total_tokens\": 61\n",
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" }\n",
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"}"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"completion(model=\"gpt-3.5-turbo\", messages=messages)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "Q3jV1Uxv8zNo"
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},
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"source": [
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"## Call Claude-2"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "V8yTWYzY8m9S",
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"outputId": "8b6dd32d-f9bf-4e89-886d-47cb8020f025"
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'choices': [{'finish_reason': 'stop',\n",
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" 'index': 0,\n",
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" 'message': {'role': 'assistant',\n",
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" 'content': \" Unfortunately I do not have enough context to provide the current weather in San Francisco. To get the most accurate weather report, it's helpful if I know details like:\\n\\n- Exact location (city name, zip code, etc)\\n- Time frame (current conditions, forecast for a certain day/week, etc)\\n\\nIf you can provide some more specifics about what weather information you need for San Francisco, I'd be happy to look that up for you!\"}}],\n",
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" 'created': 1691880836.974166,\n",
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" 'model': 'claude-2',\n",
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" 'usage': {'prompt_tokens': 18, 'completion_tokens': 95, 'total_tokens': 113}}"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"completion(model=\"claude-2\", messages=messages)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "yu0LPDmW9PJa"
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},
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"source": [
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"## Call llama2 on replicate"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "0GWV5mtO9Jbu",
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"outputId": "38538825-b271-406d-a437-f5cf0eb7e548"
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'choices': [{'finish_reason': 'stop',\n",
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" 'index': 0,\n",
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" 'message': {'role': 'assistant',\n",
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" 'content': ' I\\'m happy to help! However, I must point out that the question \"what\\'s the weather in SF\" doesn\\'t make sense as \"SF\" could refer to multiple locations (San Francisco, South Florida, San Fernando, etc.). Could you please provide more context or specify which location you\\'re referring to? That way, I can give you an accurate answer.'}}],\n",
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" 'created': 1691880930.9003325,\n",
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" 'model': 'replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1',\n",
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" 'usage': {'prompt_tokens': 6, 'completion_tokens': 74, 'total_tokens': 80}}"
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]
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},
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"execution_count": 13,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"model = \"replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1\"\n",
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"completion(model=model, messages=messages)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "HXdj5SEe9iLK"
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},
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"source": [
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"## Call Command-Nightly"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "EaUq2xIx9fhr",
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"outputId": "55fe6f52-b58b-4729-948a-74dac4b431b2"
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<ModelResponse at 0x11cb0c3b0> JSON: {\n",
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" \"choices\": [\n",
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" {\n",
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" \"finish_reason\": \"stop\",\n",
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" \"index\": 0,\n",
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" \"message\": {\n",
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" \"content\": \" The weather in San Francisco can be quite unpredictable and varies throughout the year. In general, the city\",\n",
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" \"role\": \"assistant\",\n",
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" \"logprobs\": null\n",
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" }\n",
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" }\n",
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" ],\n",
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" \"created\": 1693951797.3149078,\n",
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" \"model\": \"command-nightly\",\n",
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" \"usage\": {\n",
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" \"prompt_tokens\": 6,\n",
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" \"completion_tokens\": 20,\n",
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" \"total_tokens\": 26\n",
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" }\n",
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"}"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"completion(model=\"command-nightly\", messages=messages)"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {
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"id": "1g9hSgsL9soJ"
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},
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"source": [
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"## Call Azure OpenAI"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For azure openai calls ensure to add the `azure/` prefix to `model`. If your deployment-id is `chatgpt-test` set `model` = `azure/chatgpt-test`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "AvLjR-PF-lt0",
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"outputId": "deff2db3-b003-48cd-ea62-c03a68a4464a"
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},
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"outputs": [],
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"source": [
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"completion(model=\"azure/chatgpt-test\", messages=messages)"
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]
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}
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],
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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