Trace LLM Operations with OpenTelemetry
The JavaScript OpenTelemetry tracing example for Promptfoo, tracing provider internals and validating tool-call trajectories.
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Why it matters
Integrate OpenTelemetry into your Javascript Promptfoo evaluations to gain visibility into LLM provider operations. Understand and debug internal processes for more robust AI-driven applications.
Outcomes
What it gets done
Instrument Javascript code for LLM evaluations.
Trace internal LLM provider operations.
Debug and optimize AI application performance.
Enhance Promptfoo evaluation observability.
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-javascript | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Steps
Steps in the chain
Overview
Javascript
Promptfoo's JavaScript OpenTelemetry tracing example, instrumenting a provider with the OTel Node SDK and asserting on span counts, durations, errors, and tool-call trajectories. Use it as the JS-specific reference for tracing a provider's internals during Promptfoo evaluations, including tool-call sequence and trajectory validation.
What it does
The JavaScript counterpart to Promptfoo's OpenTelemetry tracing example: it traces the internal operations of your LLM providers during Promptfoo evaluations, using standard OpenTelemetry libraries rather than a custom SDK, sending traces to any OTel-compatible backend and correlating them with specific test cases. No API keys are required - the example ships a simulated RAG provider purely to demonstrate the tracing pattern.
When to use - and when NOT to
Use it when you want visibility into what a JavaScript-based provider does internally during an eval - retrieval steps, tool calls, generation latency - as OpenTelemetry spans, rather than treating the provider as a black box. It's the JS-specific instrumentation reference; if your provider language differs, the same six-step flow (OTLP receiver auto-start, per-test trace context, traceparent handoff, child-span creation, export to Promptfoo's OTLP endpoint on port 4318, correlation with the eval) still applies, but the SDK code itself will differ.
Inputs and outputs
Set up with:
npx promptfoo@latest init --example integration-opentelemetry/javascript
cd integration-opentelemetry/javascript
npm install
npx promptfoo@latest eval
npx promptfoo@latest view
Tracing is turned on in promptfooconfig.yaml via a tracing.enabled: true block naming the OTLP HTTP port (4318 by default) and host. The provider parses the incoming traceparent field with a regex, builds a parent span context, and wraps its logic so child spans nest correctly:
const { trace, context, SpanStatusCode } = require('@opentelemetry/api');
const { NodeTracerProvider } = require('@opentelemetry/sdk-trace-node');
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
const exporter = new OTLPTraceExporter({
url: 'http://localhost:4318/v1/traces',
});
const provider = new NodeTracerProvider({
spanProcessors: [new BatchSpanProcessor(exporter)],
});
provider.register();
Output is validated with trace-span-count, trace-span-duration, and trace-error-spans assertions, plus - via a separate promptfooconfig.trajectory.yaml config, run with --no-cache - four trajectory-specific assertion types: trajectory:tool-used, trajectory:tool-args-match, trajectory:tool-sequence, and trajectory:step-count. Traces are inspectable per test result in the web UI's Trace Timeline: hierarchical span visualization, duration bars, OK/ERROR status indicators, and span attributes/events.
Integrations
Recognizes both generic tool-span attributes (tool.name, tool.arguments) and Vercel AI SDK telemetry attributes (ai.toolCall.name, ai.toolCall.args, ai.toolCall.arguments, ai.toolCall.input). Traces can be forwarded to external OTLP-compatible backends like Jaeger or Honeycomb via a tracing.forwarding config block, and configured through standard OTEL_EXPORTER_OTLP_ENDPOINT/OTEL_EXPORTER_OTLP_HEADERS environment variables, or enabled via PROMPTFOO_TRACING_ENABLED. Depends on OpenTelemetry's v2.x JS packages: @opentelemetry/api, sdk-trace-node, exporter-trace-otlp-http, resources, and semantic-conventions.
Who it's for
JavaScript/Node.js developers building Promptfoo-evaluated LLM providers who want span-level tracing visibility into provider internals - including tool-call sequences and trajectories - without writing a custom tracing SDK integration.
Source README
integration-opentelemetry/javascript (OpenTelemetry Tracing Example)
This example demonstrates how to use OpenTelemetry to trace the internal operations of your LLM providers during Promptfoo evaluations.
Quick Start
npx promptfoo@latest init --example integration-opentelemetry/javascript
cd integration-opentelemetry/javascript
npm install
npx promptfoo@latest eval
npx promptfoo@latest view
To run the trajectory assertion variant from this directory, use:
npx promptfoo@latest eval -c promptfooconfig.trajectory.yaml --no-cache
Environment Variables
This example requires no API keys - it uses a simulated provider that demonstrates tracing patterns.
Overview
Promptfoo's OpenTelemetry integration allows you to:
- Trace internal operations of your providers without a custom SDK
- Use standard OpenTelemetry libraries in any language
- Send traces to any OpenTelemetry-compatible backend
- Correlate traces with specific test cases and evaluations
How It Works
- OTLP receiver starts automatically - Promptfoo ensures the receiver is ready before evaluations begin
- Promptfoo generates a trace context for each test case evaluation
- The trace context is passed to providers via the
traceparentfield - Providers create child spans using standard OpenTelemetry SDKs
- Traces are sent to Promptfoo's OTLP endpoint (port 4318 by default)
- Promptfoo correlates traces with evaluations for analysis
Files in This Example
| File | Description |
|---|---|
promptfooconfig.yaml |
Evaluation config with tracing enabled and assertions |
provider-simple-traced.js |
Simulated RAG provider with comprehensive tracing |
trace-assertions.js |
Custom JavaScript assertion for trace validation |
package.json |
OpenTelemetry dependencies (v2.x API) |
Tracing Configuration
Enable tracing in your promptfooconfig.yaml:
tracing:
enabled: true
otlp:
http:
enabled: true
port: 4318
host: '0.0.0.0'
Instrumenting Your Provider
The provider receives trace context from Promptfoo via the traceparent field. Here's the pattern used in this example:
const { trace, context, SpanStatusCode } = require('@opentelemetry/api');
const { NodeTracerProvider } = require('@opentelemetry/sdk-trace-node');
const { OTLPTraceExporter } = require('@opentelemetry/exporter-trace-otlp-http');
const { BatchSpanProcessor } = require('@opentelemetry/sdk-trace-node');
const { resourceFromAttributes } = require('@opentelemetry/resources');
const { ATTR_SERVICE_NAME } = require('@opentelemetry/semantic-conventions');
// Initialize OpenTelemetry (v2.x API)
const exporter = new OTLPTraceExporter({
url: 'http://localhost:4318/v1/traces',
});
const provider = new NodeTracerProvider({
resource: resourceFromAttributes({
[ATTR_SERVICE_NAME]: 'my-provider',
}),
spanProcessors: [new BatchSpanProcessor(exporter)],
});
provider.register();
const tracer = trace.getTracer('my-provider');
module.exports = {
async callApi(prompt, promptfooContext) {
// Parse trace context from Promptfoo
if (promptfooContext?.traceparent) {
const matches = promptfooContext.traceparent.match(
/^(\d{2})-([a-f0-9]{32})-([a-f0-9]{16})-(\d{2})$/,
);
if (matches) {
const [, , traceId, parentId, traceFlags] = matches;
// Create parent context
const parentCtx = trace.setSpanContext(context.active(), {
traceId,
spanId: parentId,
traceFlags: parseInt(traceFlags, 16),
isRemote: true,
});
// Run operations within parent context
return context.with(parentCtx, async () => {
const span = tracer.startSpan('my_operation');
try {
// Your provider logic here...
span.setStatus({ code: SpanStatusCode.OK });
return { output: 'result' };
} catch (error) {
span.recordException(error);
span.setStatus({ code: SpanStatusCode.ERROR });
throw error;
} finally {
span.end();
}
});
}
}
return { output: 'result without tracing' };
},
};
Trace-Based Assertions
This example demonstrates several trace assertion types:
assert:
# Count spans matching a pattern
- type: trace-span-count
value:
pattern: 'retrieve_document_*'
min: 3
max: 3
# Check span duration
- type: trace-span-duration
value:
pattern: 'rag_agent_workflow'
max: 5000 # milliseconds
# Check for error spans
- type: trace-error-spans
value:
max_count: 0
The trajectory-specific config at promptfooconfig.trajectory.yaml adds:
trajectory:tool-usedtrajectory:tool-args-matchtrajectory:tool-sequencetrajectory:step-count
Promptfoo accepts generic tool span attributes such as tool.name and tool.arguments, and it also recognizes Vercel AI SDK telemetry attributes such as ai.toolCall.name, ai.toolCall.args, ai.toolCall.arguments, and ai.toolCall.input.
Viewing Traces
After running an evaluation, view traces in the web UI:
npx promptfoo@latest view
Click on any test result to see the "Trace Timeline" section showing:
- Hierarchical span visualization
- Duration bars showing relative timing
- Status indicators (OK/ERROR)
- Span attributes and events
Environment Variables
Configure OpenTelemetry using standard environment variables:
# Custom endpoint (defaults to Promptfoo's receiver)
export OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318"
# Headers for authentication with external collectors
export OTEL_EXPORTER_OTLP_HEADERS="api-key=your-key"
# Enable tracing via environment variable
export PROMPTFOO_TRACING_ENABLED=true
Forward to External Collectors
Send traces to Jaeger, Honeycomb, or other OTLP-compatible backends:
tracing:
enabled: true
forwarding:
enabled: true
endpoint: 'http://jaeger:4318'
headers:
'api-key': '${JAEGER_API_KEY}'
Troubleshooting
Context Naming Conflicts
If you see context.active is not a function, the OpenTelemetry context API conflicts with Promptfoo's context parameter. Rename the parameter:
async callApi(prompt, promptfooContext) {
// Use promptfooContext for Promptfoo's context
// Use context from @opentelemetry/api for tracing
}
Traces Not Appearing
- Verify
tracing.enabled: truein config - Check OTLP receiver is running (look for port 4318 in logs)
- Ensure trace context is properly parsed from
promptfooContext.traceparent - Call
spanProcessor.forceFlush()before returning from provider
Dependencies
This example uses OpenTelemetry v2.x packages:
| Package | Version | Purpose |
|---|---|---|
@opentelemetry/api |
^1.9.0 | Core tracing API |
@opentelemetry/sdk-trace-node |
^2.5.0 | Node.js tracer provider |
@opentelemetry/exporter-trace-otlp-http |
^0.222.0 | OTLP HTTP exporter |
@opentelemetry/resources |
^2.5.0 | Resource attributes |
@opentelemetry/semantic-conventions |
^1.39.0 | Standard attribute names |
FAQ
Common questions
Discussion
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