Documentation Index
Fetch the complete documentation index at: https://docs.praison.ai/llms.txt
Use this file to discover all available pages before exploring further.
Traceloop Integration
Traceloop provides LLM observability with OpenTelemetry.
Setup
1. Install Dependencies
pip install traceloop-sdk
2. Set Environment Variables
export TRACELOOP_API_KEY=xxx
3. Initialize
from praisonai_tools.observability import obs
obs.init(provider="traceloop")
Usage
Auto-Instrumentation (Recommended)
from praisonai_tools.observability import obs
from praisonaiagents import Agent
obs.init(provider="traceloop")
# Everything is auto-traced!
agent = Agent(
name="Assistant",
instructions="You are a helpful assistant.",
model="gpt-4o-mini",
)
response = agent.chat("Hello!")
print(response)
Explicit Tracing (For Fine Control)
from praisonai_tools.observability import obs
from praisonaiagents import Agent
obs.init(provider="traceloop", auto_instrument=False)
agent = Agent(
instructions="You are a helpful assistant.",
model="gpt-4o-mini",
)
with obs.trace("workflow"):
response = agent.chat("Hello!")
print(response)
Workflow Decorator
from praisonai_tools.observability.providers.traceloop_provider import TraceloopProvider
provider = TraceloopProvider()
provider.init()
@provider.workflow("my-workflow")
def my_workflow():
# Your workflow code
pass
Configuration Options
| Option | Environment Variable | Description |
|---|
api_key | TRACELOOP_API_KEY | Your Traceloop API key |
app_name | - | Application name |
disable_batch | - | Disable batching (default: False) |
