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Code Issues 1 Packages Projects Releases Wiki Activity

feat(langfuse): add opt-in Langfuse observability integration

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Add Langfuse as an OTel trace transport for MCP request lifecycle tracking.

Changes:
- New src/lib/langfuse-transport.ts: initializes LangfuseSpanProcessor when
  ASK262_LANGFUSE_ENABLED=true with valid credentials
- src/lib/tracing.ts: add metadata to TraceContext, propagate it to child spans,
  use startActiveSpan for proper OTel context, add setupTracing() entry point,
  add getSessionMetadata() for version/transport metadata
- src/lib/logger.ts: include TraceContext.metadata in JSON log mixin
- src/mcp-server-{http,stdio}.ts: call setupTracing() at startup, pass
  version/transport metadata through withSpan/withSpanContext
- src/lib/fireworks-embeddings.ts: wrap API calls in withSpan() with gen_ai
  attributes for Langfuse generation/cost tracking
- .env.example: add LANGFUSE_* configuration variables
- AGENTS.md: document Langfuse integration
- package.json: add @langfuse/tracing, @langfuse/otel, @opentelemetry/sdk-node
This commit is contained in:
bendtherules
2026-04-27 18:31:19 +05:30
parent 40b439307e
commit 627b80008e
9 changed files with 466 additions and 97 deletions
Download Patch File Download Diff File Expand all files Collapse all files
.env.example
+14
View File
@@ -62,3 +62,17 @@ ASK262_EMBEDDING_PROVIDER=ollama
# Days to keep rotated logs before deletion (optional, defaults to 30) # Days to keep rotated logs before deletion (optional, defaults to 30)
# Set to 0 to keep forever # Set to 0 to keep forever
# ASK262_LOG_RETENTION_DAYS=30 # ASK262_LOG_RETENTION_DAYS=30
# =============================================================================
# LANGFUSE OBSERVABILITY (opt-in)
# =============================================================================
# Enable Langfuse trace export (defaults to false)
# ASK262_LANGFUSE_ENABLED=true
# Langfuse credentials (required when enabled)
# LANGFUSE_PUBLIC_KEY=pk-lf-...
# LANGFUSE_SECRET_KEY=sk-lf-...
# Langfuse host (optional, defaults to https://cloud.langfuse.com)
# LANGFUSE_BASE_URL=https://cloud.langfuse.com
.opencode/plans/1777288192730-brave-harbor.md
+153
View File
@@ -0,0 +1,153 @@
# Langfuse Integration Plan
## Dependencies
```json
"@langfuse/tracing": "^1.0.0",
"@langfuse/otel": "^1.0.0",
"@opentelemetry/sdk-node": "^0.50.0"
```
## Files
### `src/lib/langfuse-transport.ts` (new)
```typescript
import { NodeTracerProvider } from "@opentelemetry/sdk-node";
import { LangfuseSpanProcessor } from "@langfuse/otel";
import pkg from "../../package.json" assert { type: "json" };
let provider: NodeTracerProvider | null = null;
export function initializeLangfuseTransport(): void {
if (process.env.ASK262_LANGFUSE_ENABLED !== "true") return;
if (!process.env.LANGFUSE_PUBLIC_KEY || !process.env.LANGFUSE_SECRET_KEY) {
console.error("[LANGFUSE] Missing credentials, skipping");
return;
}
provider = new NodeTracerProvider({
spanProcessors: [new LangfuseSpanProcessor()],
});
provider.register();
}
export function getLangfuseSessionMetadata(transport: "http" | "stdio"): Record<string, unknown> {
return {
version: pkg.version,
transport,
};
}
```
### `src/lib/tracing.ts`
Add `metadata` to `TraceContext`:
```typescript
interface TraceContext {
traceId: string;
spanId: string;
parentSpanId: string | null;
depth: number;
metadata?: Record<string, unknown>;
}
```
Add `setupTracing()` function:
```typescript
import { initializeLangfuseTransport } from "./langfuse-transport.js";
export function setupTracing(): void {
initializeLangfuseTransport();
}
```
Propagate metadata to child contexts in `withSpan()` and `withSpanContext()`.
### `src/lib/logger.ts`
Include metadata in Pino mixin:
```typescript
mixin() {
const traceCtx = getTraceContext();
if (!traceCtx) return {};
return {
trace_id: traceCtx.traceId,
span_id: traceCtx.spanId,
parent_span_id: traceCtx.parentSpanId,
...(traceCtx.metadata && { metadata: traceCtx.metadata }),
};
}
```
### `src/mcp-server-http.ts`
Add at top of `main()`:
```typescript
import { setupTracing } from "./lib/tracing.js";
setupTracing();
```
In `/mcp` handler, set session metadata on root span via `withSpan` attributes.
### `src/mcp-server-stdio.ts`
Add at top of `main()`:
```typescript
import { setupTracing } from "./lib/tracing.js";
setupTracing();
```
Set session metadata on the process-scoped trace.
### `src/lib/fireworks-embeddings.ts`
Wrap actual Fireworks API call in `withSpan()` with generation attributes:
```typescript
import { withSpan } from "./tracing.js";
import { trace } from "@opentelemetry/api";
return await withSpan(
LogOperation.EMBEDDING_DOCUMENTS,
{ model: this.modelName, batch_size: this.batchSize },
async () => {
const activeSpan = trace.getActiveSpan();
activeSpan?.setAttribute("gen_ai.system", "fireworks");
activeSpan?.setAttribute("gen_ai.request.model", this.modelName);
activeSpan?.setAttribute("gen_ai.usage.input_tokens", estimatedTokens);
return embeddings;
}
);
```
### `.env.example`
```bash
# Langfuse observability (opt-in)
# ASK262_LANGFUSE_ENABLED=true
# LANGFUSE_PUBLIC_KEY=pk-lf-...
# LANGFUSE_SECRET_KEY=sk-lf-...
# LANGFUSE_BASE_URL=https://cloud.langfuse.com
```
## Session Strategy
| Transport | Session ID | Metadata |
|-----------|-----------|----------|
| **Stdio** | `sessionTraceId` (existing process-scoped trace ID) | `{ version: "0.0.15", transport: "stdio" }` |
| **HTTP** | `x-request-id` or generated UUID | `{ version: "0.0.15", transport: "http" }` |
Metadata flows to **both** destinations:
- **JSON logs**: via `TraceContext.metadata` → logger mixin
- **Langfuse**: via `langfuse.trace.metadata` OTel span attribute
## What stays unchanged
- `src/agent-tools/*` — no changes, spans flow automatically
- All tool internals — no changes needed
## Trace structure
- **Stdio**: one trace per session, all tool calls share `sessionTraceId`
- **HTTP**: one trace per request
- **Embedding calls**: marked as `gen_ai` generations for cost tracking
- **All traces and logs include**: version and transport metadata
AGENTS.md
+6
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@@ -61,6 +61,8 @@ Copy `.env.example` to `.env`:
- `OLLAMA_HOST` - Ollama URL (default: http://localhost:11434) - `OLLAMA_HOST` - Ollama URL (default: http://localhost:11434)
- `ASK262_PORT` - HTTP server port (default: 8081) - `ASK262_PORT` - HTTP server port (default: 8081)
- `MCP_PUBLIC_URL` - Public URL for inspector - `MCP_PUBLIC_URL` - Public URL for inspector
- `ASK262_LANGFUSE_ENABLED` - Enable Langfuse tracing (optional)
- `LANGFUSE_PUBLIC_KEY` / `LANGFUSE_SECRET_KEY` - Langfuse credentials (required when enabled)
## Key Dependencies ## Key Dependencies
@@ -76,3 +78,7 @@ Copy `.env.example` to `.env`:
- Run `bun run type-check` before committing - Run `bun run type-check` before committing
- Ingest/build are slow (local embedding generation) - Ingest/build are slow (local embedding generation)
- Don't lint/format external dirs (`engine262/`, `spec-built/`, `graphology/`) - Don't lint/format external dirs (`engine262/`, `spec-built/`, `graphology/`)
## Observability
Ask262 uses OpenTelemetry for tracing. When `ASK262_LANGFUSE_ENABLED=true` is set with valid Langfuse credentials, all OTel spans are exported to Langfuse automatically. No code changes are needed — it's purely a transport configuration. Metadata (version, transport type) is attached to every trace and included in both Langfuse and JSON logs.
bun.lock
+112 -19
View File
@@ -10,9 +10,12 @@
"@langchain/core": "^0.2.0", "@langchain/core": "^0.2.0",
"@langchain/ollama": "^0.1.0", "@langchain/ollama": "^0.1.0",
"@langchain/openai": "^0.1.0", "@langchain/openai": "^0.1.0",
"@langfuse/otel": "^5.2.0",
"@langfuse/tracing": "^5.2.0",
"@mcp-use/inspector": "^2.1.0", "@mcp-use/inspector": "^2.1.0",
"@modelcontextprotocol/sdk": "^1.0.4", "@modelcontextprotocol/sdk": "^1.0.4",
"@opentelemetry/api": "^1.9.1", "@opentelemetry/api": "^1.9.1",
"@opentelemetry/sdk-node": "^0.215.0",
"acorn": "^8.16.0", "acorn": "^8.16.0",
"cheerio": "^1.2.0", "cheerio": "^1.2.0",
"commander": "^14.0.3", "commander": "^14.0.3",
@@ -124,6 +127,10 @@
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"@grpc/proto-loader": ["@grpc/proto-loader@0.8.0", "", { "dependencies": { "lodash.camelcase": "^4.3.0", "long": "^5.0.0", "protobufjs": "^7.5.3", "yargs": "^17.7.2" }, "bin": { "proto-loader-gen-types": "build/bin/proto-loader-gen-types.js" } }, "sha512-rc1hOQtjIWGxcxpb9aHAfLpIctjEnsDehj0DAiVfBlmT84uvR0uUtN2hEi/ecvWVjXUGf5qPF4qEgiLOx1YIMQ=="],
"@hono/node-server": ["@hono/node-server@1.19.13", "", { "peerDependencies": { "hono": "^4" } }, "sha512-TsQLe4i2gvoTtrHje625ngThGBySOgSK3Xo2XRYOdqGN1teR8+I7vchQC46uLJi8OF62YTYA3AhSpumtkhsaKQ=="], "@hono/node-server": ["@hono/node-server@1.19.13", "", { "peerDependencies": { "hono": "^4" } }, "sha512-TsQLe4i2gvoTtrHje625ngThGBySOgSK3Xo2XRYOdqGN1teR8+I7vchQC46uLJi8OF62YTYA3AhSpumtkhsaKQ=="],
"@isaacs/fs-minipass": ["@isaacs/fs-minipass@4.0.1", "", { "dependencies": { "minipass": "^7.0.4" } }, "sha512-wgm9Ehl2jpeqP3zw/7mo3kRHFp5MEDhqAdwy1fTGkHAwnkGOVsgpvQhL8B5n1qlb01jV3n/bI0ZfZp5lWA1k4w=="], "@isaacs/fs-minipass": ["@isaacs/fs-minipass@4.0.1", "", { "dependencies": { "minipass": "^7.0.4" } }, "sha512-wgm9Ehl2jpeqP3zw/7mo3kRHFp5MEDhqAdwy1fTGkHAwnkGOVsgpvQhL8B5n1qlb01jV3n/bI0ZfZp5lWA1k4w=="],
@@ -138,6 +145,8 @@
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"@js-sdsl/ordered-map": ["@js-sdsl/ordered-map@4.4.2", "", {}, "sha512-iUKgm52T8HOE/makSxjqoWhe95ZJA1/G1sYsGev2JDKUSS14KAgg1LHb+Ba+IPow0xflbnSkOsZcO08C7w1gYw=="],
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@@ -164,6 +173,12 @@
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} }
} }
package.json
+3
View File
@@ -57,9 +57,12 @@
"@langchain/core": "^0.2.0", "@langchain/core": "^0.2.0",
"@langchain/ollama": "^0.1.0", "@langchain/ollama": "^0.1.0",
"@langchain/openai": "^0.1.0", "@langchain/openai": "^0.1.0",
"@langfuse/otel": "^5.2.0",
"@langfuse/tracing": "^5.2.0",
"@mcp-use/inspector": "^2.1.0", "@mcp-use/inspector": "^2.1.0",
"@modelcontextprotocol/sdk": "^1.0.4", "@modelcontextprotocol/sdk": "^1.0.4",
"@opentelemetry/api": "^1.9.1", "@opentelemetry/api": "^1.9.1",
"@opentelemetry/sdk-node": "^0.215.0",
"acorn": "^8.16.0", "acorn": "^8.16.0",
"cheerio": "^1.2.0", "cheerio": "^1.2.0",
"commander": "^14.0.3", "commander": "^14.0.3",
src/lib/fireworks-embeddings.ts
+55 -27
View File
@@ -1,5 +1,7 @@
import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings"; import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
import { trace } from "@opentelemetry/api";
import { LogOperation, logger } from "./logger.js"; import { LogOperation, logger } from "./logger.js";
import { withSpan } from "./tracing.js";
/** /**
* Interface for FireworksEmbeddings parameters. * Interface for FireworksEmbeddings parameters.
@@ -180,37 +182,59 @@ export class FireworksEmbeddings extends Embeddings {
/** /**
* Make the actual API call to Fireworks for embeddings. * Make the actual API call to Fireworks for embeddings.
* Wrapped in an OTel span with GenAI attributes for Langfuse cost tracking.
*/ */
private async embedBatch(documents: string[]): Promise<number[][]> { private async embedBatch(documents: string[]): Promise<number[][]> {
const url = `${this.baseUrl}/embeddings`; return await withSpan(
LogOperation.PROCESSING_EMBEDDING_BATCH,
{ model: this.modelName, batch_size: documents.length },
async () => {
const url = `${this.baseUrl}/embeddings`;
const response = await fetch(url, { const response = await fetch(url, {
method: "POST", method: "POST",
headers: { headers: {
Authorization: `Bearer ${this.apiKey}`, Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json", "Content-Type": "application/json",
Accept: "application/json", Accept: "application/json",
},
body: JSON.stringify({
model: this.modelName,
input: documents,
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(
`Fireworks API error: ${response.status} ${response.statusText} - ${errorText}`,
);
}
const data = (await response.json()) as FireworksEmbeddingResponse;
// Extract embeddings from response
// Fireworks returns embeddings in the same order as input
const embeddings = data.data.map((item) => item.embedding);
// Set GenAI attributes on the active span for Langfuse generation tracking
const activeSpan = trace.getActiveSpan();
if (activeSpan) {
activeSpan.setAttribute("gen_ai.system", "fireworks");
activeSpan.setAttribute("gen_ai.request.model", this.modelName);
activeSpan.setAttribute(
"gen_ai.usage.input_tokens",
data.usage.prompt_tokens,
);
activeSpan.setAttribute(
"gen_ai.usage.output_tokens",
data.usage.completion_tokens,
);
}
return embeddings;
}, },
body: JSON.stringify({ );
model: this.modelName,
input: documents,
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(
`Fireworks API error: ${response.status} ${response.statusText} - ${errorText}`,
);
}
const data = (await response.json()) as FireworksEmbeddingResponse;
// Extract embeddings from response
// Fireworks returns embeddings in the same order as input
const embeddings = data.data.map((item) => item.embedding);
return embeddings;
} }
} }
@@ -235,5 +259,9 @@ interface FireworksEmbeddingResponse {
usage: { usage: {
prompt_tokens: number; prompt_tokens: number;
total_tokens: number; total_tokens: number;
completion_tokens: number;
prompt_tokens_details: {
cached_tokens: number;
};
}; };
} }
src/lib/langfuse-transport.ts
+32
View File
@@ -0,0 +1,32 @@
import { NodeTracerProvider } from "@opentelemetry/sdk-trace-node";
import { LangfuseSpanProcessor } from "@langfuse/otel";
let provider: NodeTracerProvider | null = null;
/**
* Initialize Langfuse OTel span processor.
* Called once at server startup before any spans are created.
*/
export function initializeLangfuseTransport(): void {
if (process.env.ASK262_LANGFUSE_ENABLED !== "true") return;
const publicKey = process.env.LANGFUSE_PUBLIC_KEY;
const secretKey = process.env.LANGFUSE_SECRET_KEY;
if (!publicKey || !secretKey) {
console.error(
"[LANGFUSE] Missing LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY, skipping",
);
return;
}
provider = new NodeTracerProvider({
spanProcessors: [
new LangfuseSpanProcessor({
// Export all spans, not just LLM-relevant ones
shouldExportSpan: () => true,
}),
],
});
provider.register();
}
src/lib/logger.ts
+1
View File
@@ -208,6 +208,7 @@ async function createRootLogger(): Promise<pino.Logger> {
trace_id: traceCtx.traceId, trace_id: traceCtx.traceId,
span_id: traceCtx.spanId, span_id: traceCtx.spanId,
parent_span_id: traceCtx.parentSpanId, parent_span_id: traceCtx.parentSpanId,
...(traceCtx.metadata && { metadata: traceCtx.metadata }),
}; };
} }
return {}; return {};
src/lib/tracing.ts
+90 -51
View File
@@ -10,6 +10,30 @@
import { AsyncLocalStorage } from "node:async_hooks"; import { AsyncLocalStorage } from "node:async_hooks";
import { randomUUID } from "node:crypto"; import { randomUUID } from "node:crypto";
import { SpanStatusCode, trace } from "@opentelemetry/api"; import { SpanStatusCode, trace } from "@opentelemetry/api";
import pkg from "../../package.json" with { type: "json" };
import { initializeLangfuseTransport } from "./langfuse-transport.js";
/**
* One-time setup for the tracing system.
* Registers the Langfuse OTel processor when enabled.
* Must be called before any spans are created.
*/
export function setupTracing(): void {
initializeLangfuseTransport();
}
/**
* Build session metadata for a transport.
* Included in both JSON logs (via TraceContext) and Langfuse traces.
*/
export function getSessionMetadata(
transport: "http" | "stdio",
): Record<string, unknown> {
return {
version: pkg.version,
transport,
};
}
/** /**
* Trace context stored in AsyncLocalStorage. * Trace context stored in AsyncLocalStorage.
@@ -23,6 +47,8 @@ interface TraceContext {
parentSpanId: string | null; parentSpanId: string | null;
/** Span depth level (0 = root) */ /** Span depth level (0 = root) */
depth: number; depth: number;
/** Optional metadata propagated to JSON logs and Langfuse traces */
metadata?: Record<string, unknown>;
} }
// AsyncLocalStorage for automatic context propagation // AsyncLocalStorage for automatic context propagation
@@ -70,12 +96,16 @@ function generateTraceId(): string {
* const traceCtx = createTraceContext(req.headers['x-request-id'] as string); * const traceCtx = createTraceContext(req.headers['x-request-id'] as string);
* ``` * ```
*/ */
export function createTraceContext(traceId?: string): TraceContext { export function createTraceContext(
traceId?: string,
metadata?: Record<string, unknown>,
): TraceContext {
return { return {
traceId: traceId ?? generateTraceId(), traceId: traceId ?? generateTraceId(),
spanId: generateSpanId(), spanId: generateSpanId(),
parentSpanId: null, parentSpanId: null,
depth: 0, depth: 0,
metadata,
}; };
} }
@@ -108,6 +138,7 @@ export async function withSpan<T>(
attributes: Record<string, unknown> = {}, attributes: Record<string, unknown> = {},
fn: () => Promise<T>, fn: () => Promise<T>,
traceId?: string, traceId?: string,
metadata?: Record<string, unknown>,
): Promise<T> { ): Promise<T> {
const parentContext = getCurrentContext(); const parentContext = getCurrentContext();
const tracer = trace.getTracer("ask262"); const tracer = trace.getTracer("ask262");
@@ -119,33 +150,39 @@ export async function withSpan<T>(
spanId: generateSpanId(), spanId: generateSpanId(),
parentSpanId: parentContext.spanId, parentSpanId: parentContext.spanId,
depth: parentContext.depth + 1, depth: parentContext.depth + 1,
metadata: parentContext.metadata,
} }
: createTraceContext(traceId); : createTraceContext(traceId, metadata);
// Create OTel span for context tracking
const span = tracer.startSpan(operation, {
attributes: {
...attributes,
"span.depth": spanContext.depth,
},
});
// Store in AsyncLocalStorage for nested calls // Store in AsyncLocalStorage for nested calls
return traceStorage.run(spanContext, async () => { return traceStorage.run(spanContext, async () => {
try { return tracer.startActiveSpan(
const result = await fn(); operation,
span.setStatus({ code: SpanStatusCode.OK }); {
return result; attributes: {
} catch (err) { ...attributes,
span.setStatus({ "span.depth": spanContext.depth,
code: SpanStatusCode.ERROR, },
message: err instanceof Error ? err.message : String(err), },
}); async (span) => {
span.recordException(err instanceof Error ? err : new Error(String(err))); try {
throw err; const result = await fn();
} finally { span.setStatus({ code: SpanStatusCode.OK });
span.end(); return result;
} } catch (err) {
span.setStatus({
code: SpanStatusCode.ERROR,
message: err instanceof Error ? err.message : String(err),
});
span.recordException(
err instanceof Error ? err : new Error(String(err)),
);
throw err;
} finally {
span.end();
}
},
);
}); });
} }
@@ -216,6 +253,7 @@ export async function withSpanContext<T>(
operation: string, operation: string,
attributes: Record<string, unknown> = {}, attributes: Record<string, unknown> = {},
fn: () => Promise<T>, fn: () => Promise<T>,
metadata?: Record<string, unknown>,
): Promise<T> { ): Promise<T> {
// Check if we're already in a context // Check if we're already in a context
const existingContext = getCurrentContext(); const existingContext = getCurrentContext();
@@ -226,36 +264,37 @@ export async function withSpanContext<T>(
} }
// Create new root span with this trace ID // Create new root span with this trace ID
const spanContext: TraceContext = { const spanContext = createTraceContext(traceId, metadata);
traceId,
spanId: generateSpanId(),
parentSpanId: null,
depth: 0,
};
const tracer = trace.getTracer("ask262"); const tracer = trace.getTracer("ask262");
const span = tracer.startSpan(operation, {
attributes: {
...attributes,
"span.depth": 0,
},
});
return traceStorage.run(spanContext, async () => { return traceStorage.run(spanContext, async () => {
try { return tracer.startActiveSpan(
const result = await fn(); operation,
span.setStatus({ code: SpanStatusCode.OK }); {
return result; attributes: {
} catch (err) { ...attributes,
span.setStatus({ "span.depth": 0,
code: SpanStatusCode.ERROR, },
message: err instanceof Error ? err.message : String(err), },
}); async (span) => {
span.recordException(err instanceof Error ? err : new Error(String(err))); try {
throw err; const result = await fn();
} finally { span.setStatus({ code: SpanStatusCode.OK });
span.end(); return result;
} } catch (err) {
span.setStatus({
code: SpanStatusCode.ERROR,
message: err instanceof Error ? err.message : String(err),
});
span.recordException(
err instanceof Error ? err : new Error(String(err)),
);
throw err;
} finally {
span.end();
}
},
);
}); });
} }