OpenInference LangChain Instrumentation
Python auto-instrumentation library for LangChain.
These traces are fully OpenTelemetry compatible and can be sent to an OpenTelemetry collector for viewing, such as Arize Phoenix or Arize AX.
Compatibility
This instrumentation works with:
- LangChain 1.x (
langchain>=1.0.0): Modern agent framework built on LangGraph - LangChain Classic (
langchain-classic>=1.0.0): Legacy chains and tools (formerlylangchain 0.x) - All LangChain partner packages (
langchain-openai,langchain-anthropic,langchain-google-vertexai, etc.)
The instrumentation hooks into langchain-core, which is the shared foundation used by all LangChain packages.
Installation
For LangChain 1.x (Recommended for New Projects)
pip install openinference-instrumentation-langchain langchain langchain-openai
For LangChain Classic (Legacy Applications)
pip install openinference-instrumentation-langchain langchain-classic langchain-openai
For Both (Migration Scenarios)
pip install openinference-instrumentation-langchain langchain langchain-classic langchain-openai
Quickstart
Example with LangChain 1.x (New Agent Framework)
Install packages needed for this demonstration.
pip install openinference-instrumentation-langchain langchain langchain-openai arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp
Start the Phoenix app in the background as a collector. By default, it listens on http://localhost:6006. You can visit the app via a browser at the same address.
The Phoenix app does not send data over the internet. It only operates locally on your machine.
python -m phoenix.server.main serve
The following Python code sets up the LangChainInstrumentor to trace langchain and send the traces to Phoenix at the endpoint shown below.
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI
from openinference.instrumentation.langchain import LangChainInstrumentor
from opentelemetry import trace as trace_api
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
trace_api.set_tracer_provider(tracer_provider)
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
LangChainInstrumentor().instrument()
To demonstrate tracing, we'll create a simple agent. First, configure your OpenAI credentials.
import os
os.environ["OPENAI_API_KEY"] = "<your openai key>"
Now we can create an agent and run it.
def get_weather(city: str) -> str:
"""Get the weather for a city."""
return f"The weather in {city} is sunny!"
model = ChatOpenAI(model="gpt-4")
agent = create_agent(model, tools=[get_weather])
result = agent.invoke({"messages": [{"role": "user", "content": "What's the weather in Paris?"}]})
print(result)
Example with LangChain Classic (Legacy Chains)
For legacy applications using LangChain Classic:
from langchain_classic.chains import LLMChain
from langchain_core.prompts import PromptTemplate
from langchain_openai import OpenAI
# ... (same instrumentation setup as above)
prompt_template = "Tell me a {adjective} joke"
prompt = PromptTemplate(input_variables=["adjective"], template=prompt_template)
llm = LLMChain(llm=OpenAI(), prompt=prompt, metadata={"category": "jokes"})
completion = llm.predict(adjective="funny", metadata={"variant": "funny"})
print(completion)
Visit the Phoenix app at http://localhost:6006 to see the traces.
More Info
1 maintainer
Metadata
1 maintainer
Release files for openinference-instrumentation-langchain 0.1.80
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| openinference_instrumentation_langchain-0.1.80.tar.gz | 79.8 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| openinference_instrumentation_langchain-0.1.80-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 105.3 kB
Release files / openinference_instrumentation_langchain-0.1.80.tar.gz
| Download URL | openinference_instrumentation_langchain-0.1.80.tar.gz |
|---|---|
| Size | 79.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eaa187c306299cfcedaee9be6f00970406fcbf42cb3933ddfb601b971949b4e3
|
|
BLAKE2b-256 checksum How to use checksums |
f5e948ba881a9d8996f56d5f44b8f774da74263454e41146ee44360be19f3b78
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logRelease files / openinference_instrumentation_langchain-0.1.80-py3-none-any.whl
| Download URL | openinference_instrumentation_langchain-0.1.80-py3-none-any.whl |
|---|---|
| Size | 25.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e8ea746b068699a4d2ebffd4eb7e00174bfb416fdec8d2fff4f66520cbcd73c7
|
|
BLAKE2b-256 checksum How to use checksums |
e9ff9b2172bc79758498cd5fa131a3934a1d9702d20dd15ab590df5ec2be1f44
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logSecurity for openinference-instrumentation-langchain 0.1.80
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for openinference_instrumentation_langchain-0.1.80.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 23, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
