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feat(traceloop-sdk): standalone span processor #596
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4802f7c
wip: extract span processor
galkleinman ab2e577
missing files
galkleinman 67db2ba
fix broken package lock
galkleinman 119a578
revert package lock change
galkleinman 67f005b
add aws/langchain package and otel sample app
galkleinman 2cfe3f7
npm audit fix
galkleinman 99d740c
fix onSpanEnd binding
galkleinman 575fbd2
prettier
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| import { ChatBedrockConverse } from "@langchain/aws"; | ||
| import * as traceloop from "@traceloop/node-server-sdk"; | ||
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|
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| traceloop.initialize({ | ||
| appName: "sample_langchain_bedrock", | ||
| apiKey: process.env.TRACELOOP_API_KEY, | ||
| disableBatch: true, | ||
| }); | ||
|
|
||
| async function main() { | ||
| const model = new ChatBedrockConverse({ | ||
| model: "anthropic.claude-3-haiku-20240307-v1:0", | ||
| }); | ||
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|
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| const response = await model.invoke("Tell me a joke about opentelemetry"); | ||
| console.log(response); | ||
| } | ||
|
|
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| void main().then(() => { | ||
| console.log("Done"); | ||
| }); | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,74 @@ | ||
| import { NodeSDK } from "@opentelemetry/sdk-node"; | ||
| import { Resource } from "@opentelemetry/resources"; | ||
| import { SemanticResourceAttributes } from "@opentelemetry/semantic-conventions"; | ||
| import { | ||
| createSpanProcessor, | ||
| withTask, | ||
| withWorkflow, | ||
| } from "@traceloop/node-server-sdk"; | ||
| import { trace } from "@opentelemetry/api"; | ||
| import OpenAI from "openai"; | ||
|
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| const traceloopSpanProcessor = createSpanProcessor({ | ||
| apiKey: process.env.TRACELOOP_API_KEY, | ||
| baseUrl: process.env.TRACELOOP_BASE_URL, | ||
| disableBatch: true, | ||
| }); | ||
|
|
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| // Initialize the OpenTelemetry SDK with Traceloop's span processor | ||
| const sdk = new NodeSDK({ | ||
| resource: new Resource({ | ||
| [SemanticResourceAttributes.SERVICE_NAME]: "my-sample-app", | ||
| }), | ||
| spanProcessors: [traceloopSpanProcessor], | ||
| }); | ||
| const openai = new OpenAI(); | ||
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| sdk.start(); | ||
|
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| async function main() { | ||
| const tracer = trace.getTracer("my-sample-app"); | ||
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| return tracer.startActiveSpan("main.method", async (span) => { | ||
| try { | ||
| const chatResponse = await chat(); | ||
| console.log(chatResponse); | ||
| return chatResponse; | ||
| } catch (error) { | ||
| span.recordException(error); | ||
| throw error; | ||
| } finally { | ||
| span.end(); | ||
| } | ||
| }); | ||
| } | ||
|
|
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| async function chat() { | ||
| return await withWorkflow({ name: "sample_chat" }, async () => { | ||
| return await withTask({ name: "parent_task" }, async () => { | ||
| return await withTask({ name: "child_task" }, async () => { | ||
| const chatCompletion = await openai.chat.completions.create({ | ||
| messages: [ | ||
| { role: "user", content: "Tell me a joke about OpenTelemetry" }, | ||
| ], | ||
| model: "gpt-3.5-turbo", | ||
| logprobs: true, | ||
| }); | ||
|
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| return chatCompletion.choices[0].message.content; | ||
| }); | ||
| }); | ||
| }); | ||
| } | ||
|
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| main() | ||
| .then(() => { | ||
| sdk | ||
| .shutdown() | ||
| .catch((error) => console.log("Error terminating application", error)) | ||
| .finally(() => process.exit(0)); | ||
| }) | ||
| .catch((error) => { | ||
| console.error(error); | ||
| process.exit(1); | ||
| }); |
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Consider handling errors from
main()explicitly rather than usingvoid main().then(...). Ifmain()rejects, the error might be missed.