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community: Add CometLLM tracing context var (#15765)
I also added LANGCHAIN_COMET_TRACING to enable the CometLLM tracing integration similar to other tracing integrations. This is easier for end-users to enable it rather than importing the callback and pass it manually. (This is the same content as https://github.com/langchain-ai/langchain/pull/14650 but rebased and squashed as something seems to confuse Github Action).
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docs/docs/integrations/callbacks/comet_tracing.ipynb
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138
docs/docs/integrations/callbacks/comet_tracing.ipynb
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{
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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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"# Comet Tracing\n",
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"\n",
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"There are two ways to trace your LangChains executions with Comet:\n",
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"\n",
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"1. Setting the `LANGCHAIN_COMET_TRACING` environment variable to \"true\". This is the recommended way.\n",
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"2. Import the `CometTracer` manually and pass it explicitely."
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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": "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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"\n",
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"import comet_llm\n",
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"\n",
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"os.environ[\"LANGCHAIN_COMET_TRACING\"] = \"true\"\n",
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"\n",
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"# Connect to Comet if no API Key is set\n",
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"comet_llm.init()\n",
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"\n",
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"# comet documentation to configure comet using env variables\n",
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"# https://www.comet.com/docs/v2/api-and-sdk/llm-sdk/configuration/\n",
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"# here we are configuring the comet project\n",
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"os.environ[\"COMET_PROJECT_NAME\"] = \"comet-example-langchain-tracing\"\n",
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"\n",
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"from langchain.agents import AgentType, initialize_agent, load_tools\n",
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"from langchain.llms import OpenAI"
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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": "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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"# An url for the chain like the following should print in your console:\n",
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"# https://www.comet.com/<workspace>/<project_name>\n",
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"# The url can be used to view the LLM chain in Comet."
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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": "5e212e7d",
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"metadata": {},
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"outputs": [],
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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_COMET_TRACING\" in os.environ:\n",
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" del os.environ[\"LANGCHAIN_COMET_TRACING\"]\n",
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"\n",
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"from langchain.callbacks.tracers.comet import CometTracer\n",
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"\n",
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"tracer = CometTracer()\n",
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"\n",
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"# Recreate the LLM, tools and agent and passing the callback to each of them\n",
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"llm = OpenAI(temperature=0)\n",
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"tools = load_tools([\"llm-math\"], llm=llm)\n",
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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(\n",
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" \"What is 2 raised to .123243 power?\", callbacks=[tracer]\n",
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") # this should be traced"
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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": "3.9.1"
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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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@ -11,6 +11,7 @@ from typing import (
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from langchain_core.tracers.context import register_configure_hook
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from langchain_community.callbacks.openai_info import OpenAICallbackHandler
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from langchain_community.callbacks.tracers.comet import CometTracer
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from langchain_community.callbacks.tracers.wandb import WandbTracer
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logger = logging.getLogger(__name__)
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@ -21,11 +22,17 @@ openai_callback_var: ContextVar[Optional[OpenAICallbackHandler]] = ContextVar(
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wandb_tracing_callback_var: ContextVar[Optional[WandbTracer]] = ContextVar( # noqa: E501
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"tracing_wandb_callback", default=None
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)
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comet_tracing_callback_var: ContextVar[Optional[CometTracer]] = ContextVar( # noqa: E501
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"tracing_comet_callback", default=None
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)
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register_configure_hook(openai_callback_var, True)
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register_configure_hook(
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wandb_tracing_callback_var, True, WandbTracer, "LANGCHAIN_WANDB_TRACING"
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)
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register_configure_hook(
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comet_tracing_callback_var, True, CometTracer, "LANGCHAIN_COMET_TRACING"
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)
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@contextmanager
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