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# Open Source LLM Engineering Platform
Traces, evals, prompt management and metrics to debug and improve your LLM application.

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Observability

Metrics

Prompt Management

Playground

Evaluation

Annotations

Public API

Python SDK

JS/TS SDK

from langfuse import observe

# drop-in wrapper adds OpenTelemetry tracing to OpenAI
# many other llm/agent integrations are available
from langfuse.openai import openai

@observe()  # decorate any function; all nested calls are auto-linked
def handle_request(text: str) -> str:
res = openai.chat.completions.create(
model="gpt-5",
messages=[
{"role": "system", "content": "Summarize in one sentence."},
{"role": "user", "content": text},
],
)
return res.choices[0].message.content

from langfuse import observe

# drop-in wrapper adds OpenTelemetry tracing to OpenAI
# many other llm/agent integrations are available
from langfuse.openai import openai

@observe()  # decorate any function; all nested calls are auto-linked
def handle_request(text: str) -> str:
res = openai.chat.completions.create(
model="gpt-5",
messages=[
{"role": "system", "content": "Summarize in one sentence."},
{"role": "user", "content": text},
],
)
return res.choices[0].message.content

Quickstart

Observability

Capture complete traces of your LLM applications/agents. Use traces to inspect failures and build eval datasets. Based on OpenTelemetry with support for all popular LLM/agent libraries.

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