Added tracing for inference #30800

howieleung · 2024-08-18T18:02:47Z

Packages impacted by this PR

Issues associated with this PR

Describe the problem that is addressed by this PR

Added telemetry tracing for inference
TODO before merging:
add test
PR for typespecs
Add event tracking
Add condition to enable/disable certain attributes

What are the possible designs available to address the problem? If there are more than one possible design, why was the one in this PR chosen?

Are there test cases added in this PR? (If not, why?)

Provide a list of related PRs (if any)

Command used to generate this PR:***(Applicable only to SDK release request PRs)*

Checklists

Added impacted package name to the issue description
Does this PR needs any fixes in the SDK Generator?** (If so, create an Issue in the Autorest/typescript repository and link it here)
Added a changelog (if necessary)

azure-sdk · 2024-08-18T18:12:31Z

API change check

API changes are not detected in this pull request.

maorleger

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

howieleung · 2024-08-22T22:10:31Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

Good question. My assignment is specifically for inference only mirroring this MR for python.
Azure/azure-sdk-for-python#36890
And we are following this schema
https://github.com/open-telemetry/semantic-conventions/blob/main/docs/gen-ai/gen-ai-spans.md

I guess this schema isn't for all clients and this is the first one we are instrumenting.

lmolkova

Great start!

Would it be possible to try it out and attach some screenshots?

It's probably the easiest to create Azure Monitor (Application Insights) resource and enable azmon otel -
https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/monitor/monitor-opentelemetry#enable-azure-monitor-opentelemetry-client

Let me know if you need any help!

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

lmolkova · 2024-08-23T05:09:04Z

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

+
+function tryProcessError(span: TracingSpan, error: unknown): void {
+  try {
+    span.setStatus({


we need to set error.type here too (to fully qualified exception type name)

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

lmolkova · 2024-08-23T05:11:21Z

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

+    };
+     */
+    span.setStatus({
+      status: "success",


we should not set status to success, let's leave it unset

sdk/ai/ai-inference-rest/src/tracingPolicy.ts

sdk/ai/ai-inference-rest/samples/v1-beta/javascript/telemetry.js

lmolkova · 2024-09-05T23:11:36Z

sdk/ai/ai-inference-rest/samples/v1-beta/javascript/telemetry.js

+  console.log("== Chat Completions Sample ==");
+
+  // initialize a span named "main" with default options for the spans
+  await tracingClient.withSpan("main", {}, async (updatedOptions) => {


Please use OTel API here - this is end-user code -

Suggested change

await tracingClient.withSpan("main", {}, async (updatedOptions) => {

await tracer.startActiveSpan('rollTheDice', (span: Span) => {

https://opentelemetry.io/docs/languages/js/instrumentation/#create-spans

sdk/ai/ai-inference-rest/samples/v1-beta/javascript/telemetry.js

howieleung · 2024-09-06T00:38:48Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

With the new changes, there is trace and traceAsync function in core-tracing that accept several callbacks functions. LLM devs are welcome to use them to trace their own function. In additional, ai-inference has the mapper functions to create the span attributes to invoke tracing.

sdk/ai/ai-inference-rest/samples/v1-beta/typescript/src/telemetry.ts

lmolkova · 2024-09-05T23:36:14Z

sdk/ai/ai-inference-rest/samples/v1-beta/typescript/src/telemetry.ts

+  console.log("== Chat Completions Sample ==");
+
+  // Initialize a span named "main" with default options for the spans
+  await tracingClient.withSpan("main", {}, async (updatedOptions) => {


sdk/ai/ai-inference-rest/src/trace.ts

lmolkova · 2024-09-05T23:38:33Z

sdk/ai/ai-inference-rest/src/trace.ts

+    const body = (request as RequestParameterWithBodyType).body;
+
+    map.set(TracingAttributesEnum.Operation_Name, getOperationName(path));
+    map.set(TracingAttributesEnum.System, "az.ai_inference");


sorry for changing things, we'll need to update it again to whatever will be merged in open-telemetry/semantic-conventions#1393 (currently it's az.ai.inference)

lmolkova · 2024-09-05T23:43:37Z

sdk/ai/ai-inference-rest/src/trace.ts

+    map.set(TracingAttributesEnum.Request_Frequency_Penalty, body?.frequency_penalty);
+    map.set(TracingAttributesEnum.Request_Max_Tokens, body?.max_tokens);
+    map.set(TracingAttributesEnum.Request_Presence_Penalty, body?.presence_penalty);
+    map.set(TracingAttributesEnum.Request_Stop_Sequences, body?.stop);


what's the type of body.stop? The attribute should be an array, even if there is one stop sequence (and not set if there is no stop sequence)

Right. It is an array.

lmolkova · 2024-09-05T23:56:25Z

sdk/ai/ai-inference-rest/src/trace.ts

+    const map = new Map<string, unknown>();
+    if (error) {
+      if (error instanceof Error) {
+        map.set(TracingAttributesEnum.Error_Type, error.message);


the error type attribute should be the fully qualified type of the exception, not the message

if error has happened, we also need to set status on the span, e.g. like here

azure-sdk-for-js/sdk/core/ts-http-runtime/src/policies/tracingPolicy.ts

Lines 138 to 141 in f169f9e

span.setStatus({

status: "error",

error: isError(error) ? error : undefined,

});

lmolkova · 2024-09-05T23:57:16Z

sdk/ai/ai-inference-rest/src/trace.ts

+
+  const request = args as RequestParameterWithBodyType;
+
+  const name = `${getOperationName(path)} ${request.body?.model ?? ""}`;


would there be a trailing comma if there is no model?

NO. it will just be the word, chat after trimming

lmolkova · 2024-09-06T00:07:14Z

sdk/ai/ai-inference-rest/src/trace.ts

+import { createTracingClient, OperationTracingOptions } from "@azure/core-tracing";
+import { GetChatCompletionsBodyParam, GetEmbeddingsBodyParam, GetImageEmbeddingsBodyParam } from "./parameters.js";
+
+const traceCLient = createTracingClient({ namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0" });


Suggested change

const traceCLient = createTracingClient({ namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0" });

const traceClient = createTracingClient({ namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0" });

sdk/ai/ai-inference-rest/src/trace.ts

maorleger · 2024-09-06T16:23:25Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

With the new changes, there is trace and traceAsync function in core-tracing that accept several callbacks functions. LLM devs are welcome to use them to trace their own function. In additional, ai-inference has the mapper functions to create the span attributes to invoke tracing.

core-tracing is not meant to be used by LLM devs, only Azure SDK client libraries. I think there's a misunderstanding of roles and responsibilities here that I would like to clarify:

core-tracing: provides wrappers and convenience for adding implementation-agnostic tracing to client libraries
- Decoupled from opentelemetry
client libraries: use core-tracing to create a tracing client with the correct attributes, then wrap async operations with calls to withSpan
- Decoupled from opentelemetry
@azure/opentelemetry-instrumentation-azure-sdk - the glue that hooks up the core-tracing APIs with opentelemetry at runtime.
end users: developers who use your client library to interact with Azure services. They will use opentelemetry's APIs as needed to configure their tracing provider, exporter, etc.
- They will also, as part of their configuration, use the opentelemetry-instrumentation-azure-sdk to wire up OTel as the implementation provider for core-tracing. They are decoupled from core-tracing and do not use it directly, the instrumentation package does

You, as a client library author, probably do not need to:

Use OTel's APIs directly
Make changes to @azure/core-tracing

An end user probably do not need to:

call createTracingClient
Use @azure/core-tracing directly

So I am not 100% sure why these changes are needed and I think we're going down the wrong path. Let's take a step back. All I would expect to see from a client library code is:

create a tracingClient like https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/keyvault/keyvault-certificates/src/tracing.ts

Wrap any async operation with tracingClient.withSpan like

azure-sdk-for-js/sdk/keyvault/keyvault-certificates/src/index.ts

Lines 607 to 615 in 7ec3f09

    
             return tracingClient.withSpan( 
        
               "CertificateClient.getContacts", 
        
               options, 
        
               async (updatedOptions) => { 
        
                 const result = await this.client.getCertificateContacts(this.vaultUrl, updatedOptions); 
        
                 return coreContactsToCertificateContacts(result); 
        
               }, 
        
             ); 
        
           }

Is all this stuff needed because RLC code-gen does not support tracing today? Should we prioritize that work or add something in core-client-rest? cc @joheredi who might know the state of RLC tracing

Happy to set up a meeting about this if it helps

howieleung · 2024-09-06T16:54:05Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

With the new changes, there is trace and traceAsync function in core-tracing that accept several callbacks functions. LLM devs are welcome to use them to trace their own function. In additional, ai-inference has the mapper functions to create the span attributes to invoke tracing.

core-tracing is not meant to be used by LLM devs, only Azure SDK client libraries. I think there's a misunderstanding of roles and responsibilities here that I would like to clarify:

core-tracing: provides wrappers and convenience for adding implementation-agnostic tracing to client libraries

Decoupled from opentelemetry

client libraries: use core-tracing to create a tracing client with the correct attributes, then wrap async operations with calls to withSpan

Decoupled from opentelemetry

@azure/opentelemetry-instrumentation-azure-sdk - the glue that hooks up the core-tracing APIs with opentelemetry at runtime.

end users: developers who use your client library to interact with Azure services. They will use opentelemetry's APIs as needed to configure their tracing provider, exporter, etc.

They will also, as part of their configuration, use the opentelemetry-instrumentation-azure-sdk to wire up OTel as the implementation provider for core-tracing. They are decoupled from core-tracing and do not use it directly, the instrumentation package does

You, as a client library author, probably do not need to:

Use OTel's APIs directly

Make changes to @azure/core-tracing

An end user probably do not need to:

call createTracingClient

Use @azure/core-tracing directly

So I am not 100% sure why these changes are needed and I think we're going down the wrong path. Let's take a step back. All I would expect to see from a client library code is:

create a tracingClient like https://github.com/Azure/azure-sdk-for-js/blob/main/sdk/keyvault/keyvault-certificates/src/tracing.ts

Wrap any async operation with tracingClient.withSpan like

azure-sdk-for-js/sdk/keyvault/keyvault-certificates/src/index.ts

Lines 607 to 615 in 7ec3f09

return tracingClient.withSpan(

"CertificateClient.getContacts",

options,

async (updatedOptions) => {

const result = await this.client.getCertificateContacts(this.vaultUrl, updatedOptions);

return coreContactsToCertificateContacts(result);

},

);

}

Is all this stuff needed because RLC code-gen does not support tracing today? Should we prioritize that work or add something in core-client-rest? cc @joheredi who might know the state of RLC tracing

Happy to set up a meeting about this if it helps

@maorleger I have the following requirement:
The SDK will provide support for flexible decorators that developers can easily apply to mark methods for tracing purposes, especially for functions that are not LLM calls. These decorators serve as annotations within the codebase, allowing developers to selectively enable tracing for specific methods or functions without extensive modifications. This approach ensures that tracing can be integrated into existing codebases with minimal disruption, enhancing flexibility and maintainability. This will be achieved via supporting language-specific decorators for tracing purposes. User function tracing will be provided by the existing API's in in open telemetry and Azure SDK

Since javascript doesn't support decorators, I propose an alternative solution here
https://github.com/howieleung/tracer
And trace and traceAsync are the implementation. Since I am adding tracing feature on the ai-inference function, I use it here as well and try to get the feeling.

lmolkova · 2024-09-06T18:26:44Z

@howieleung

The SDK will provide support for flexible decorators that developers can easily apply to mark methods for tracing purposes, especially for functions that are not LLM calls. These decorators serve as annotations within the codebase, allowing developers to selectively enable tracing for specific methods or functions without extensive modifications. This approach ensures that tracing can be integrated into existing codebases with minimal disruption, enhancing flexibility and maintainability. This will be achieved via supporting language-specific decorators for tracing purposes. User function tracing will be provided by the existing API's in in open telemetry and Azure SDK

OTel JS already provides flexible general-purpose decorators - https://github.com/open-telemetry/opentelemetry-js/blob/main/api/src/experimental/trace/SugaredTracer.ts

they are experimental, so we can't use them here, but users can if they want to.
These decorators will eventually become stable and your requirement will fix itself. If you want to improve the design, please share suggestions in https://github.com/open-telemetry/opentelemetry-js.

Azure SDKs don't provide user-facing tracing API - users are expected to interact with opentelemetry directly.

I'll leave it up to JS experts and JS core-tracing owners such as @maorleger and @mpodwysocki to decide whether new APIs are necessary/make sense for internal usage and convenience, but by any means, we should never recommend them to end users.

howieleung · 2024-09-06T19:06:42Z

@howieleung

The SDK will provide support for flexible decorators that developers can easily apply to mark methods for tracing purposes, especially for functions that are not LLM calls. These decorators serve as annotations within the codebase, allowing developers to selectively enable tracing for specific methods or functions without extensive modifications. This approach ensures that tracing can be integrated into existing codebases with minimal disruption, enhancing flexibility and maintainability. This will be achieved via supporting language-specific decorators for tracing purposes. User function tracing will be provided by the existing API's in in open telemetry and Azure SDK

OTel JS already provides flexible general-purpose decorators - https://github.com/open-telemetry/opentelemetry-js/blob/main/api/src/experimental/trace/SugaredTracer.ts

they are experimental, so we can't use them here, but users can if they want to. These decorators will eventually become stable and your requirement will fix itself. If you want to improve the design, please share suggestions in https://github.com/open-telemetry/opentelemetry-js.

Azure SDKs don't provide user-facing tracing API - users are expected to interact with opentelemetry directly.

I'll leave it up to JS experts and JS core-tracing owners such as @maorleger and @mpodwysocki to decide whether new APIs are necessary/make sense for internal usage and convenience, but by any means, we should never recommend them to end users.
Yes. I read this a while ago. And I have been trying to come up with a better way to help LLM devs to write cleaner code. I just got new idea and pushed my new design again.

jhakulin · 2024-09-11T21:47:27Z

sdk/ai/ai-inference-rest/src/trace.ts

+function tryCreateTracingClient(): TracingClient | undefined {
+  try {
+    return createTracingClient({
+      namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0"


Typo: Micirsoft -> Microsoft

maorleger · 2024-09-13T14:52:02Z

sdk/core/core-client-rest/review/core-client.api.md

 // @public
-export function getClient(endpoint: string, credentials?: TokenCredential | KeyCredential, options?: ClientOptions): Client;
+export function getClient(endpoint: string, credentials?: TokenCredential | KeyCredential, options?: ClientOptions, tracer?: TracerCallback): Client;


Is this intentional? We cannot add random properties to our core public APIs without design, cross-language consistency, and archboard reviews

I think this is absolutely needed. I got to find a way to pass the tracing logic from the inference to the post function in core-client-rest. I am having a SDK review meeting on Tuesday. I will bring up this topic.

maorleger · 2024-09-13T14:53:05Z

sdk/core/core-tracing/review/core-tracing.api.md

@@ -68,6 +70,8 @@ export interface TracingClient {
        span: TracingSpan;
        updatedOptions: OptionsWithTracingContext<Options>;
    };
+    trace<Arguments, Return>(name: string, args: Arguments, methodToTrace: () => Return, onStartTracing?: (span: TracingSpan, args: Arguments) => void, onEndTracing?: (span: TracingSpan, args: Arguments, rt?: Return, error?: unknown) => void, options?: OperationTracingOptions, spanKind?: TracingSpanKind): Return;


Same here, we will not be able to add this to our core tracing APIs

I can move this to inference or other more public facing library and let inference consume it.

maorleger

Unfortunately we cannot add these properties to our core interfaces - we can discuss your scenarios but this is not the right approach

maorleger · 2024-09-13T14:58:58Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

With the new changes, there is trace and traceAsync function in core-tracing that accept several callbacks functions. LLM devs are welcome to use them to trace their own function. In additional, ai-inference has the mapper functions to create the span attributes to invoke tracing.

Just to clarify this isn't quite what I meant - LLM devs should not be using core-tracing APIs directly. They should use OTel for tracing their own functions. Core tracing provides implementation-agnostic tracing primitives for client library authors that can be enabled via our OTel plugin by end users

howieleung · 2024-09-13T22:22:58Z

My meta-question is whether we can put this into core-client-rest or one of the other RLC core packages instead of a one-off? code changes look good

With the new changes, there is trace and traceAsync function in core-tracing that accept several callbacks functions. LLM devs are welcome to use them to trace their own function. In additional, ai-inference has the mapper functions to create the span attributes to invoke tracing.

Just to clarify this isn't quite what I meant - LLM devs should not be using core-tracing APIs directly. They should use OTel for tracing their own functions. Core tracing provides implementation-agnostic tracing primitives for client library authors that can be enabled via our OTel plugin by end users

I hear you. But there is a requirement to let user trace their custom function in a handy way. If we need to deliver this, we need to introduce function. I will once again ask people in the SDK review meeting whether they should use otel or we really should design someting.

maorleger reviewed Aug 22, 2024

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howieleung force-pushed the howie/tracing branch from 2ad5d64 to a3dbfde Compare August 24, 2024 19:03

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lmolkova mentioned this pull request Sep 5, 2024

Add genai system-specific conventions for Azure AI Inference open-telemetry/semantic-conventions#1393

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howieleung force-pushed the howie/tracing branch from 9f1ee25 to 3aee693 Compare September 6, 2024 19:17

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howieleung force-pushed the howie/tracing branch from c39c4c7 to cac0b81 Compare September 12, 2024 01:30

lmolkova mentioned this pull request Sep 12, 2024

Document that TracingClient is for internal usage within Azure SDKs #31096

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howieleung marked this pull request as ready for review September 16, 2024 18:52

howieleung requested review from ckairen, jeremymeng and a team as code owners September 16, 2024 18:52

howieleung requested review from bterlson, a team, glharper, dargilco, HarshaNalluru, timovv, mpodwysocki and joheredi as code owners September 16, 2024 18:52

howieleung force-pushed the howie/tracing branch 2 times, most recently from 22be8e3 to 7040082 Compare September 16, 2024 20:25

howieleung added 2 commits September 16, 2024 13:34

tracing inference

172de9c

fixed merge conflict

5f66030

howieleung force-pushed the howie/tracing branch from 7040082 to 5f66030 Compare September 16, 2024 20:42

maorleger mentioned this pull request Sep 18, 2024

[tracing] Tracing via custom pipeline policy #31157

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Added tracing for inference #30800

Added tracing for inference #30800

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	await tracingClient.withSpan("main", {}, async (updatedOptions) => {
	await tracer.startActiveSpan('rollTheDice', (span: Span) => {

	span.setStatus({
	status: "error",
	error: isError(error) ? error : undefined,
	});


		const request = args as RequestParameterWithBodyType;

		const name = `${getOperationName(path)} ${request.body?.model ?? ""}`;

	const traceCLient = createTracingClient({ namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0" });
	const traceClient = createTracingClient({ namespace: "Micirsoft.CognitiveServices", packageName: "ai-inference-rest", packageVersion: "1.0.0" });

Added tracing for inference #30800

Added tracing for inference #30800

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howieleung commented Aug 18, 2024 • edited Loading

Packages impacted by this PR

Issues associated with this PR

Describe the problem that is addressed by this PR

What are the possible designs available to address the problem? If there are more than one possible design, why was the one in this PR chosen?

Are there test cases added in this PR? (If not, why?)

Provide a list of related PRs (if any)

Command used to generate this PR:**(Applicable only to SDK release request PRs)

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