easyobs-agent

Lightweight LLM/Agent observability SDK built on OpenTelemetry.

Install easyobs-agent in your agent service to send spans to the EasyObs console with minimal boilerplate.

Installation

pip install easyobs-agent

This installs all required dependencies including langchain-core, so LangChain auto-tracing works out of the box.

Quick Start

from easyobs_agent import init, traced, record_llm

# 1. Connect to EasyObs server
init(
    "http://127.0.0.1:8787",
    token="eobs_your_ingest_token",
    service="my-agent",
)

# 2. Decorate functions with @traced
@traced
def answer(question: str) -> str:
    result = call_llm(question)

    # 3. Record LLM metadata
    record_llm(model="gpt-4o-mini", tokens_in=120, tokens_out=80)
    return result

Features

Auto LangChain Tracing

from easyobs_agent import init

# auto=True enables both capture_io and auto_langchain
init(
    "http://127.0.0.1:8787",
    token="eobs_…",
    service="rag-bot",
    auto=True,
)

# All LangChain invocations are automatically captured — no callbacks needed
from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="gpt-4o-mini")
llm.invoke("Hello")  # span created automatically

Advanced Usage

Selective I/O Capture

@traced(capture=True)   # force capture for this function only
def sensitive_fn(query: str) -> str: ...

@traced(capture=False)  # opt-out regardless of global setting
def secret_fn(api_key: str) -> str: ...

Manual Span Blocks

from easyobs_agent import span_block, record_retrieval

with span_block("search", kind="retrieve") as span:
    docs = vector_store.search(query)
    record_retrieval(query=query, docs=docs)

Requirements

• Python >= 3.9
• OpenTelemetry SDK >= 1.28.0
• langchain-core >= 0.3.0

License

MIT