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150 lines
3.7 KiB
Plaintext
150 lines
3.7 KiB
Plaintext
{
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"cells": [
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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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"outputs": [],
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"source": [
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"%load_ext autoreload\n",
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"%autoreload 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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"outputs": [],
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"source": [
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"AZURE_KEY = \"API_KEY::URL\"\n",
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"OPENAI_KEY = \"sk-XXX\""
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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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"## Use Azure and OpenAI models"
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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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"outputs": [],
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"source": [
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"from manifest import Manifest\n",
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"from manifest.connections.client_pool import ClientConnection\n",
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"from pathlib import Path\n",
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"\n",
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"cache_path = Path(\"manifest.db\")\n",
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"if cache_path.exists():\n",
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" cache_path.unlink()\n",
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"\n",
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"\n",
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"azure = ClientConnection(\n",
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" client_name=\"azureopenai\",\n",
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" client_connection=AZURE_KEY,\n",
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" engine=\"text-davinci-003\",\n",
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")\n",
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"\n",
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"manifest = Manifest(client_pool=[azure], \n",
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" cache_name=\"sqlite\",\n",
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" cache_connection=\"manifest.db\"\n",
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")\n",
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"\n",
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"\n",
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"openai = ClientConnection(\n",
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" client_name=\"openai\",\n",
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" client_connection=OPENAI_KEY,\n",
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" engine=\"text-davinci-003\",\n",
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")\n",
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"\n",
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"manifest_openai_nocache = Manifest(client_pool=[openai])\n",
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"\n",
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"manifest_openai = Manifest(client_pool=[openai], \n",
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" cache_name=\"sqlite\",\n",
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" cache_connection=\"manifest.db\"\n",
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")"
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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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"outputs": [],
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"source": [
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"# Show caches are the same\n",
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"text = \"What is the meaning of life?\"\n",
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"res = manifest.run(text, max_tokens=100, temperature=0.7, return_response=True)\n",
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"print(res.get_response())\n",
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"print(res.is_cached())\n",
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"res2 = manifest_openai.run(text, max_tokens=100, temperature=0.7, return_response=True)\n",
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"print(res2.is_cached())\n",
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"\n",
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"assert res2.get_response() == res.get_response()"
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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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"outputs": [],
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"source": [
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"azure_chat = ClientConnection(\n",
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" client_name=\"azureopenaichat\",\n",
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" client_connection=AZURE_KEY,\n",
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" engine=\"gpt-3.5-turbo\",\n",
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")\n",
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"\n",
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"manifest = Manifest(client_pool=[azure_chat])"
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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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"outputs": [],
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"source": [
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"print(manifest.run(\"What do you think is the best food?\", max_tokens=100))\n",
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"\n",
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"chat_dict = [\n",
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" {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\n",
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" {\"role\": \"user\", \"content\": \"Who won the world series in 2020?\"},\n",
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" {\"role\": \"assistant\", \"content\": \"The Los Angeles Dodgers won the World Series in 2020.\"},\n",
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" {\"role\": \"user\", \"content\": \"Where was it played?\"}\n",
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"]\n",
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"print(manifest.run(chat_dict, max_tokens=100))"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "manifest",
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"language": "python",
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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": "3.10.4"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "fddffe4ac3b9f00470127629076101c1b5f38ecb1e7358b567d19305425e9491"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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