1. Installation
First install the traceAI package and necessary LangChain packages.
pip install traceAI-langchain
pip install langchain_openai
2. Set Environment Variables
Set up your environment variables to authenticate with both FutureAGI and OpenAI.
import os
os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
os.environ["FI_API_KEY"] = "your-futureagi-api-key"
os.environ["FI_SECRET_KEY"] = "your-futureagi-secret-key"
3. Initialize Trace Provider
Set up the trace provider to create a new project in FutureAGI, establish telemetry data pipelines .
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType
trace_provider = register(
project_type=ProjectType.OBSERVE,
project_name="langchain_project",
)
4. Instrument your Project
Initialize the LangChain Instrumentor to enable automatic tracing. This step ensures that all interactions with the LangChain are tracked and monitored.
from traceai_langchain import LangChainInstrumentor
LangChainInstrumentor().instrument(tracer_provider=trace_provider)
5. Create LangChain Components
Set up your LangChain pipeline as you normally would. Our Instrumentor will automatically trace and send the telemetry data to our platform.
from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
prompt = ChatPromptTemplate.from_template("{x} {y} {z}?").partial(x="why is", z="blue")
chain = prompt | ChatOpenAI(model_name="gpt-3.5-turbo")
result = chain.invoke({"y": "sky"})
print(f"Response: {result}")
