tracectrl 0.2.0

TraceCtrl SDK — agentic AI security observability

TraceCtrl SDK

Security observability and runtime guardrails for agentic AI. TraceCtrl instruments your agents with OpenTelemetry, captures every LLM call and tool invocation as security-enriched spans, and streams the trace + guardrail violations to the TraceCtrl dashboard in real time.

Install

pip install tracectrl

For framework integrations:

pip install tracectrl-instrumentation-strands   # AWS Strands
pip install tracectrl-instrumentation-agno      # Agno

Quickstart

import tracectrl
from tracectrl.instrumentation.strands import StrandsInstrumentor

# Configure once at startup — points the SDK at your TraceCtrl engine
tracectrl.configure(
    service_name="my-agent",
    endpoint="http://localhost:4317",
)

# Auto-instrument Strands (or replace with the instrumentor for your framework)
StrandsInstrumentor().instrument()

# Your existing agent code — no changes needed

Guardrails

Two guardrail providers, designed to coexist on the same agent:

1. Built-in LLM judge — declarative guardrails evaluated by a Bedrock model:

from tracectrl.guardrails import Guardrail, wrap_agent_with_guardrails

no_pii_leak = Guardrail(
    name="no_pii_leak",
    description="Block agent responses containing personally identifiable info.",
    judge_prompt="Does the following response contain PII?\n\n{output}",
    judge_llm=bedrock_model,
    severity="high",
)

wrap_agent_with_guardrails(my_agent, [no_pii_leak])

2. TraceCtrl Guards (Protector Plus) — explicit checks against an external LLM firewall covering prompt injection, PII, content moderation, vector similarity, keywords/regex, and system-prompt leakage:

import tracectrl

with tracectrl.guard():
    tracectrl.check_input(user_message)
    response = my_agent(user_message)
    tracectrl.check_output(str(response))

Configure the Protector Plus endpoint and per-domain API key in the TraceCtrl dashboard's Settings page. Calls are async fire-and-forget — they emit OpenTelemetry evaluation spans without blocking the LLM call. Both decisions (pass / fail) show up in the trace tree and the dashboard's Guardrails page, with failures streamed as live alerts.

Tagging agents

from tracectrl import tag_agent

tag_agent(my_agent)   # reads agent.system_prompt + agent.name automatically

Identity shows up on the dashboard's Agents page.

Links

• Documentation
• Dashboard
• GitHub