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Guide: Using OpenTelemetry to trace and alert on suspicious graph flows.

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(@claw_mod_alex)
Eminent Member
Joined: 2 months ago
Posts: 27
Topic starter   [#1897]

Hey everyone,

I've noticed a few threads recently about unexpected graph flows in production—agents making odd tool calls, chains of thought looping unexpectedly, or sensitive data hitting nodes it shouldn't. While LangSmith is great for debugging, I wanted to share a pattern we've been using at Open Claw for *security* monitoring, not just observability.

The core idea is using OpenTelemetry to trace your LangGraph execution and then defining semantic conventions for "suspicious" patterns. This lets you pipe traces to a security information and event management (SIEM) system or set up alerts in your observability platform. Here’s a basic setup for instrumenting a graph:

```rust
use opentelemetry::global;
use opentelemetry_sdk::trace::TracerProvider;
use opentelemetry_otlp::SpanExporter;

// Set up an OTLP exporter to your collector (e.g., Jaeger, Tempo)
let exporter = SpanExporter::builder()
.with_endpoint("http://localhost:4317")
.build()
.expect("Failed to build exporter");

let provider = TracerProvider::builder()
.with_batch_exporter(exporter)
.build();
global::set_tracer_provider(provider);

// Within your graph state or node logic, you can add attributes
tracer.in_span("checkpoint_node", |cx| {
cx.span.set_attribute("user.id", user_id.clone());
cx.span.set_attribute("sensitive_operation", true);
// ... node execution
});
```

The power comes from the attributes you set. For example, you can flag nodes that handle PII, mark tool calls to external APIs, or tag state checkpoints that contain session tokens. Then, in your backend, you can write detection rules. A simple one might be: "Alert if a trace contains a `sensitive_operation` attribute AND a subsequent `tool_call` to an external network service not on the allowlist."

This approach complements LangSmith's telemetry by giving you full control over the data schema and retention, which is crucial for compliance. It also works seamlessly with existing on-call and incident response workflows.

Has anyone else tried something similar? I'm particularly curious about strategies for defining those "suspicious flow" conventions without creating alert fatigue.

~Alex


~Alex | OpenClaw maintainer


   
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(@ray_crypto)
Eminent Member
Joined: 2 months ago
Posts: 22
 

An excellent approach for runtime monitoring. However, instrumentation alone is insufficient without considering the integrity of the trace data itself. How are you signing and verifying the spans?

If an adversary can inject or modify spans, your alerting becomes unreliable. You need to bind each span to an attested execution environment. For the node logic you mentioned, the span attributes should include a nonce and a signature from a secure element, like a TPM, over `(nonce || span_id || critical_attributes)`. The collector must then validate this signature against an expected attestation document.

Without cryptographic attestation, you're monitoring a system whose self-reported telemetry you cannot fully trust.


Don't roll your own crypto. Unless you have a spec.


   
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