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185 lines
126 KiB
Plaintext
185 lines
126 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "5371a9bb",
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"metadata": {},
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"source": [
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"# Tracing Walkthrough\n",
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"\n",
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"There are two recommended ways to trace your LangChains:\n",
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"\n",
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"1. Setting the `LANGCHAIN_WANDB_TRACING` environment variable to \"true\".\n",
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"1. Using a context manager with tracing_enabled() to trace a particular block of code.\n",
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"\n",
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"**Note** if the environment variable is set, all code will be traced, regardless of whether or not it's within the context manager."
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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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"id": "17c04cc6-c93d-4b6c-a033-e897577f4ed1",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2023-05-18T12:47:46.580776Z",
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"start_time": "2023-05-18T12:47:46.577833Z"
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"import os\n",
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"os.environ[\"LANGCHAIN_WANDB_TRACING\"] = \"true\"\n",
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"\n",
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"# wandb documentation to configure wandb using env variables\n",
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"# https://docs.wandb.ai/guides/track/advanced/environment-variables\n",
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"# here we are configuring the wandb project name\n",
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"os.environ[\"WANDB_PROJECT\"] = \"langchain-tracing\"\n",
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"\n",
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"from langchain.agents import initialize_agent, load_tools\n",
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"from langchain.agents import AgentType\n",
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"from langchain.llms import OpenAI\n",
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"from langchain.callbacks import wandb_tracing_enabled"
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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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"id": "1b62cd48",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2023-05-18T12:47:47.445229Z",
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"start_time": "2023-05-18T12:47:47.436424Z"
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
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"\n",
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\"], llm=llm)"
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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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"id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2023-05-18T12:48:01.816137Z",
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"start_time": "2023-05-18T12:47:49.109574Z"
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"agent = initialize_agent(\n",
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" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
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")\n",
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"\n",
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"agent.run(\"What is 2 raised to .123243 power?\") # this should be traced\n",
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"# A url with for the trace sesion like the following should print in your console:\n",
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"# https://wandb.ai/<wandb_entity>/<wandb_project>/runs/<run_id>\n",
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"# The url can be used to view the trace session in wandb."
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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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"id": "fe833c33-033f-4806-be0c-cc3d147db13d",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2023-05-18T12:48:25.909223Z",
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"start_time": "2023-05-18T12:48:09.657895Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
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"Action: Calculator\n",
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"Action Input: 5^.123243\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.2193914912400514\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
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"Final Answer: 1.2193914912400514\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n",
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"\n",
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"\n",
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"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
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"\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
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"Action: Calculator\n",
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"Action Input: 2^.123243\u001b[0m\n",
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"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.0891804557407723\u001b[0m\n",
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"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
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"Final Answer: 1.0891804557407723\u001b[0m\n",
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"\n",
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"\u001b[1m> Finished chain.\u001b[0m\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"'1.0891804557407723'"
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]
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},
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"execution_count": 4,
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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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"# Now, we unset the environment variable and use a context manager.\n",
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"if \"LANGCHAIN_WANDB_TRACING\" in os.environ:\n",
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" del os.environ[\"LANGCHAIN_WANDB_TRACING\"]\n",
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"\n",
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"# enable tracing using a context manager\n",
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"with wandb_tracing_enabled():\n",
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" agent.run(\"What is 5 raised to .123243 power?\") # this should be traced\n",
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"\n",
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"agent.run(\"What is 2 raised to .123243 power?\") # this should not be traced"
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]
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},
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{
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"cell_type": "markdown",
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"id": "438fd64d",
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"metadata": {},
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"source": [
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"**Here's a view of wandb dashboard for the above tracing session:**\n",
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"\n",
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"\n",
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"\n",
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"\n"
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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": "Python 3 (ipykernel)",
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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": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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