Python SDK for HalluTrace AI - LLM hallucination detection & tracing
Project description
HalluTrace AI - Python SDK
Detect hallucinations in your LLM applications with HalluTrace AI.
Installation
pip install hallutraceai
Quick Start
from hallutraceai import HalluTrace
ht = HalluTrace(api_key="sk_live_your_api_key")
# Send a trace
ht.trace(
session_id="chat-123",
message_id="msg-1",
type="agent",
input="What is the capital of France?",
output="The capital of France is Paris.",
system_prompt="You are a helpful assistant.",
model_name="gpt-4",
)
Batch Tracing
ht.trace_batch([
{
"session_id": "chat-123",
"messages": [
{
"message_id": "msg-1",
"type": "agent",
"input": "Hello",
"output": "Hi! How can I help?",
"model_name": "gpt-4",
},
{
"message_id": "msg-2",
"type": "tool",
"input": "search: weather",
"output": '{"temp": 72, "condition": "sunny"}',
},
],
}
])
Message Types
agent— LLM responses (evaluated for hallucinations)tool— Tool/function call results (logged but not evaluated)
API Reference
HalluTrace(api_key, base_url=None, timeout=30.0)
Create a client instance.
ht.trace(session_id, message_id=None, type="agent", input="", output="", ...)
Send a single trace. Returns session and message info.
ht.trace_batch(traces)
Send multiple traces in one request.
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