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init notebooks
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@jeffchuber
jeffchuber committed Sep 10, 2024
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143 changes: 143 additions & 0 deletions examples/python/diagnose-alert-anthropic.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# AI Dev Explainer - AI is useful\n",
"\n",
"This is a notebook for https://www.aiexplainer.dev/stateless\n",
"\n",
"View all notebooks at https://github.com/chroma-core/ai_explainer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get an API Key from Anthropic\n",
"1. Create an account - https://console.anthropic.com/\n",
"2. Create an API key - https://console.anthropic.com/settings/keys\n",
"3. Replace `<your_api_key>` below"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run the code\n",
"In Colab - you can click, \"Runtime -> \"Run All\" in the topbar\n",
"\n",
"In VS Code - you can click \"Run All\" in the topbar"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# install dependencies\n",
"! pip install anthropic"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n",
"import os\n",
"import anthropic\n",
"\n",
"# Initialize the Anthropic client\n",
"# Replace '<your_api_key>' with your actual Anthropic API key\n",
"client = anthropic.Client(api_key='<your_api_key>')\n",
"\n",
"alert = \"Slow query performance detected on database-01. Average query time: 2.5 seconds\"\n",
"\n",
"messages = [\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": alert\n",
" }\n",
"]\n",
"\n",
"response = client.messages.create(\n",
" system=\"You are an AI assistant monitoring database performance. When you receive an alert, gather diagnostic information and generate commands to optimize the database. Send only 1 command that I shoud run and send only the command with no comments before or after.\",\n",
" model=\"claude-3-5-sonnet-20240620\",\n",
" max_tokens=1024,\n",
" messages=messages\n",
")\n",
"\n",
"print(\"Diagnostic command:\")\n",
"print(response.content[0].text)\n",
"\n",
"# Let's assume it asks the users to run\n",
"# #!/bin/bash\n",
"# # Get top CPU-consuming processes\n",
"# ssh admin@web-server-01 \"top -b -n 1 -o %CPU | head -n 5\"\n",
"# # Check system load average\n",
"# ssh admin@web-server-01 \"uptime\"\n",
"\n",
"# Simulate running the diagnostic commands\n",
"diagnostic_results = \"\"\"\n",
"Top 5 slow queries:\n",
"1. SELECT * FROM orders WHERE date > '2023-01-01' (avg time: 3.2s)\n",
"2. SELECT customers.*, orders.* FROM customers JOIN orders ON customers.id = orders.customer_id (avg time: 2.8s)\n",
"3. UPDATE inventory SET stock = stock - 1 WHERE product_id IN (SELECT product_id FROM order_items WHERE order_id = 12345) (avg time: 2.5s)\n",
"4. SELECT COUNT(*) FROM log_entries WHERE timestamp > NOW() - INTERVAL 1 DAY (avg time: 2.3s)\n",
"5. DELETE FROM expired_sessions WHERE last_activity < NOW() - INTERVAL 30 DAY (avg time: 2.1s)\n",
"\n",
"Current database stats:\n",
"- Buffer pool hit ratio: 85%\n",
"- Index usage: 70%\n",
"- Table scans: 25% of queries\n",
"- Temporary tables created on disk: 15% of queries\n",
"\"\"\"\n",
"\n",
"# Add the diagnostic results to the messages\n",
"messages.append({\n",
" \"role\": \"assistant\",\n",
" \"content\": response.content[0].text\n",
"})\n",
"messages.append({\n",
" \"role\": \"user\",\n",
" \"content\": diagnostic_results\n",
"})\n",
"\n",
"# Get optimization commands from the LLM\n",
"response = client.messages.create(\n",
" model=\"claude-3-5-sonnet-20240620\",\n",
" max_tokens=1024,\n",
" messages=messages\n",
")\n",
"\n",
"print(\"\\nOptimization commands:\")\n",
"print(response.content[0].text)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
144 changes: 144 additions & 0 deletions examples/python/diagnose-alert-openai.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# AI Dev Explainer - AI is useful\n",
"\n",
"This is a notebook for https://www.aiexplainer.dev/stateless\n",
"\n",
"View all notebooks at https://github.com/chroma-core/ai_explainer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get an API Key from OpenAI\n",
"1. Create an OpenAI Account https://platform.openai.com/signup\n",
"2. Create an API Key https://platform.openai.com/api-keys\n",
"3. Replace `<your_api_key>` below"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run the code\n",
"In Colab - you can click, \"Runtime -> \"Run All\" in the topbar\n",
"\n",
"In VS Code - you can click \"Run All\" in the topbar"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# install dependencies\n",
"! pip install openai"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import openai\n",
"\n",
"# Set up the OpenAI API client\n",
"# Replace '<your_api_key>' with your actual OpenAI API key\n",
"client = openai.OpenAI(api_key='<your_api_key>')\n",
"\n",
"alert = \"Slow query performance detected on database-01. Average query time: 2.5 seconds\"\n",
"\n",
"messages = [\n",
" {\n",
" \"role\": \"system\",\n",
" \"content\": \"You are an AI assistant monitoring database performance. When you receive an alert, gather diagnostic information and generate commands to optimize the database. Send only 1 command that I shoud run and send only the command with no comments before or after.\"\n",
" },\n",
" {\n",
" \"role\": \"user\",\n",
" \"content\": alert\n",
" }\n",
"]\n",
"\n",
"response = client.chat.completions.create(\n",
" model=\"gpt-4-turbo\",\n",
" messages=messages,\n",
" max_tokens=1024\n",
")\n",
"\n",
"print(\"Diagnostic commands:\")\n",
"print(response.choices[0].message.content)\n",
"\n",
"# Let's assume it asks the users to run\n",
"# #!/bin/bash\n",
"# # Get top CPU-consuming processes\n",
"# ssh admin@web-server-01 \"top -b -n 1 -o %CPU | head -n 5\"\n",
"# # Check system load average\n",
"# ssh admin@web-server-01 \"uptime\"\n",
"\n",
"# Simulate running the diagnostic commands\n",
"diagnostic_results = \"\"\"\n",
"Top 5 slow queries:\n",
"1. SELECT * FROM orders WHERE date > '2023-01-01' (avg time: 3.2s)\n",
"2. SELECT customers.*, orders.* FROM customers JOIN orders ON customers.id = orders.customer_id (avg time: 2.8s)\n",
"3. UPDATE inventory SET stock = stock - 1 WHERE product_id IN (SELECT product_id FROM order_items WHERE order_id = 12345) (avg time: 2.5s)\n",
"4. SELECT COUNT(*) FROM log_entries WHERE timestamp > NOW() - INTERVAL 1 DAY (avg time: 2.3s)\n",
"5. DELETE FROM expired_sessions WHERE last_activity < NOW() - INTERVAL 30 DAY (avg time: 2.1s)\n",
"\n",
"Current database stats:\n",
"- Buffer pool hit ratio: 85%\n",
"- Index usage: 70%\n",
"- Table scans: 25% of queries\n",
"- Temporary tables created on disk: 15% of queries\n",
"\"\"\"\n",
"\n",
"# Add the diagnostic results to the messages\n",
"messages.append({\n",
" \"role\": \"assistant\",\n",
" \"content\": response.choices[0].message.content\n",
"})\n",
"messages.append({\n",
" \"role\": \"user\",\n",
" \"content\": diagnostic_results\n",
"})\n",
"\n",
"# Get optimization commands from the LLM\n",
"response = client.chat.completions.create(\n",
" model=\"gpt-4-turbo\",\n",
" messages=messages,\n",
" max_tokens=1024\n",
")\n",
"\n",
"print(\"\\nOptimization commands:\")\n",
"print(response.choices[0].message.content)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
31 changes: 27 additions & 4 deletions examples/python/list-the-names-anthropic.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,31 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"# Get an API Key from Anthropic\n",
"# AI Dev Explainer - AI is useful\n",
"\n",
"This is a notebook for https://www.aiexplainer.dev/useful\n",
"\n",
"View all notebooks at https://github.com/chroma-core/ai_explainer"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get an API Key from Anthropic\n",
"1. Create an account - https://console.anthropic.com/\n",
"2. Create an API key - https://console.anthropic.com/settings/keys"
"2. Create an API key - https://console.anthropic.com/settings/keys\n",
"3. Replace `<your_api_key>` below"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Run the code\n",
"In Colab - you can click, \"Runtime -> \"Run All\" in the topbar\n",
"\n",
"In VS Code - you can click \"Run All\" in the topbar"
]
},
{
Expand All @@ -15,6 +37,7 @@
"metadata": {},
"outputs": [],
"source": [
"# install dependencies\n",
"! pip install anthropic"
]
},
Expand All @@ -28,7 +51,7 @@
"import re\n",
"\n",
"# Initialize the Anthropic client\n",
"# Replace 'your_api_key' with your actual Anthropic API key\n",
"# Replace '<your_api_key>' with your actual Anthropic API key\n",
"client = anthropic.Client(api_key='<your_api_key>')\n",
"\n",
"# The paragraph to analyze\n",
Expand All @@ -46,7 +69,7 @@
"# Call the Anthropic API\n",
"response = client.completions.create(\n",
" prompt=prompt,\n",
" model=\"claude-2.1\",\n",
" model=\"claude-3-5-sonnet-20240620\",\n",
" max_tokens_to_sample=300,\n",
" temperature=0,\n",
")\n",
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