LangChain
Comet provides seamless integration with LangChain, allowing you to easily log and trace your LangChain-based applications. By using the CometTracer
callback, you can automatically capture detailed information about your LangChain runs, including inputs, outputs, and metadata for each step in your chain.
Getting Started
To use the CometTracer
with LangChain, you'll need to have both the opik
and langchain
packages installed. You can install them using pip:
pip install opik langchain langchain_openai
In addition, you can configure Opik using the opik configure
command which will prompt you for the correct local server address or if you are using the Cloud platfrom your API key:
opik configure
Using CometTracer
Here's a basic example of how to use the CometTracer
callback with a LangChain chain:
from langchain.chains import LLMChain
from langchain_openai import OpenAI
from langchain.prompts import PromptTemplate
from opik.integrations.langchain import OpikTracer
# Initialize the tracer
opik_tracer = OpikTracer()
# Create the LLM Chain using LangChain
llm = OpenAI(temperature=0)
prompt_template = PromptTemplate(
input_variables=["input"],
template="Translate the following text to French: {input}"
)
llm_chain = LLMChain(llm=llm, prompt=prompt_template)
# Generate the translations
translation = llm_chain.run("Hello, how are you?", callbacks=[opik_tracer])
print(translation)
# The CometTracer will automatically log the run and its details to Comet
This example demonstrates how to create a LangChain chain with a CometTracer
callback. When you run the chain with a prompt, the CometTracer
will automatically log the run and its details to Comet, including the input prompt, the output, and metadata for each step in the chain.
Settings tags and metadata
You can also customize the CometTracer
callback to include additional metadata or logging options. For example:
from opik.integrations.langchain import OpikTracer
opik_tracer = OpikTracer(
tags=["langchain"],
metadata={"use-case": "documentation-example"}
)
Accessing logged traces
You can use the created_traces
method to access the trace IDs collected by the CometTracer
callback:
from opik.integrations.langchain import OpikTracer
opik_tracer = OpikTracer()
# Calling Langchain object
traces = opik_tracer.created_traces()
print([trace.id for trace in traces])
This can be especially useful if you would like to update or log feedback scores for traces logged using the CometTracer.
Advanced usage
The CometTracer
object has a flush
method that can be used to make sure that all traces are logged to the Comet platform before you exit a script. This method will return once all traces have been logged or if the timeout is reach, whichever comes first.
from opik.integrations.langchain import OpikTracer
opik_tracer = OpikTracer()
opik_tracer.flush()