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sobychackotzolov
sobychacko
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tzolov
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Adding observability for AzureOpenAiChatModel streaming
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‎models/spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/AzureOpenAiChatModel.java

Lines changed: 79 additions & 43 deletions
Original file line numberDiff line numberDiff line change
@@ -21,6 +21,7 @@
2121
import com.azure.ai.openai.OpenAIClientBuilder;
2222
import com.azure.ai.openai.models.*;
2323
import com.azure.core.util.BinaryData;
24+
import io.micrometer.observation.Observation;
2425
import io.micrometer.observation.ObservationRegistry;
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import org.springframework.ai.azure.openai.metadata.AzureOpenAiUsage;
2627
import org.springframework.ai.chat.messages.AssistantMessage;
@@ -37,6 +38,7 @@
3738
import org.springframework.ai.chat.model.ChatModel;
3839
import org.springframework.ai.chat.model.ChatResponse;
3940
import org.springframework.ai.chat.model.Generation;
41+
import org.springframework.ai.chat.model.MessageAggregator;
4042
import org.springframework.ai.chat.observation.ChatModelObservationContext;
4143
import org.springframework.ai.chat.observation.ChatModelObservationConvention;
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import org.springframework.ai.chat.observation.ChatModelObservationDocumentation;
@@ -51,8 +53,9 @@
5153
import org.springframework.ai.observation.conventions.AiProvider;
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import org.springframework.util.Assert;
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import org.springframework.util.CollectionUtils;
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57+
import io.micrometer.observation.contextpropagation.ObservationThreadLocalAccessor;
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import reactor.core.publisher.Flux;
55-
import reactor.core.publisher.Mono;
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import java.util.ArrayList;
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import java.util.Base64;
@@ -62,6 +65,7 @@
6265
import java.util.Map;
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import java.util.Optional;
6467
import java.util.Set;
68+
import java.util.concurrent.ConcurrentHashMap;
6569
import java.util.concurrent.atomic.AtomicBoolean;
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6771
/**
@@ -189,51 +193,83 @@ && isToolCall(response, Set.of(String.valueOf(CompletionsFinishReason.TOOL_CALLS
189193
@Override
190194
public Flux<ChatResponse> stream(Prompt prompt) {
191195

192-
ChatCompletionsOptions options = toAzureChatCompletionsOptions(prompt);
193-
options.setStream(true);
194-
195-
Flux<ChatCompletions> chatCompletionsStream = this.openAIAsyncClient
196-
.getChatCompletionsStream(options.getModel(), options);
197-
198-
final var isFunctionCall = new AtomicBoolean(false);
199-
final Flux<ChatCompletions> accessibleChatCompletionsFlux = chatCompletionsStream
200-
// Note: the first chat completions can be ignored when using Azure OpenAI
201-
// service which is a known service bug.
202-
.filter(chatCompletions -> !CollectionUtils.isEmpty(chatCompletions.getChoices()))
203-
.map(chatCompletions -> {
204-
final var toolCalls = chatCompletions.getChoices().get(0).getDelta().getToolCalls();
205-
isFunctionCall.set(toolCalls != null && !toolCalls.isEmpty());
206-
return chatCompletions;
207-
})
208-
.windowUntil(chatCompletions -> {
209-
if (isFunctionCall.get() && chatCompletions.getChoices()
210-
.get(0)
211-
.getFinishReason() == CompletionsFinishReason.TOOL_CALLS) {
212-
isFunctionCall.set(false);
213-
return true;
196+
return Flux.deferContextual(contextView -> {
197+
ChatCompletionsOptions options = toAzureChatCompletionsOptions(prompt);
198+
options.setStream(true);
199+
200+
Flux<ChatCompletions> chatCompletionsStream = this.openAIAsyncClient
201+
.getChatCompletionsStream(options.getModel(), options);
202+
203+
// For chunked responses, only the first chunk contains the choice role.
204+
// The rest of the chunks with same ID share the same role.
205+
ConcurrentHashMap<String, String> roleMap = new ConcurrentHashMap<>();
206+
207+
ChatModelObservationContext observationContext = ChatModelObservationContext.builder()
208+
.prompt(prompt)
209+
.provider(AiProvider.AZURE_OPENAI.value())
210+
.requestOptions(prompt.getOptions() != null ? prompt.getOptions() : this.defaultOptions)
211+
.build();
212+
213+
Observation observation = ChatModelObservationDocumentation.CHAT_MODEL_OPERATION.observation(
214+
this.observationConvention, DEFAULT_OBSERVATION_CONVENTION, () -> observationContext,
215+
this.observationRegistry);
216+
217+
observation.parentObservation(contextView.getOrDefault(ObservationThreadLocalAccessor.KEY, null)).start();
218+
219+
final var isFunctionCall = new AtomicBoolean(false);
220+
221+
final Flux<ChatCompletions> accessibleChatCompletionsFlux = chatCompletionsStream
222+
// Note: the first chat completions can be ignored when using Azure OpenAI
223+
// service which is a known service bug.
224+
.filter(chatCompletions -> !CollectionUtils.isEmpty(chatCompletions.getChoices()))
225+
.map(chatCompletions -> {
226+
final var toolCalls = chatCompletions.getChoices().get(0).getDelta().getToolCalls();
227+
isFunctionCall.set(toolCalls != null && !toolCalls.isEmpty());
228+
return chatCompletions;
229+
})
230+
.windowUntil(chatCompletions -> {
231+
if (isFunctionCall.get() && chatCompletions.getChoices()
232+
.get(0)
233+
.getFinishReason() == CompletionsFinishReason.TOOL_CALLS) {
234+
isFunctionCall.set(false);
235+
return true;
236+
}
237+
return !isFunctionCall.get();
238+
})
239+
.concatMapIterable(window -> {
240+
final var reduce = window.reduce(MergeUtils.emptyChatCompletions(),
241+
MergeUtils::mergeChatCompletions);
242+
return List.of(reduce);
243+
})
244+
.flatMap(mono -> mono);
245+
246+
return accessibleChatCompletionsFlux.switchMap(chatCompletions -> {
247+
248+
ChatResponse chatResponse = toChatResponse(chatCompletions);
249+
250+
if (!isProxyToolCalls(prompt, this.defaultOptions) && isToolCall(chatResponse,
251+
Set.of(String.valueOf(CompletionsFinishReason.TOOL_CALLS).toLowerCase()))) {
252+
var toolCallConversation = handleToolCalls(prompt, chatResponse);
253+
// Recursively call the call method with the tool call message
254+
// conversation that contains the call responses.
255+
return this.stream(new Prompt(toolCallConversation, prompt.getOptions()));
214256
}
215-
return !isFunctionCall.get();
216-
})
217-
.concatMapIterable(window -> {
218-
final var reduce = window.reduce(MergeUtils.emptyChatCompletions(), MergeUtils::mergeChatCompletions);
219-
return List.of(reduce);
220-
})
221-
.flatMap(mono -> mono);
222-
223-
return accessibleChatCompletionsFlux.switchMap(chatCompletions -> {
224-
225-
ChatResponse chatResponse = toChatResponse(chatCompletions);
226-
227-
if (!isProxyToolCalls(prompt, this.defaultOptions) && isToolCall(chatResponse,
228-
Set.of(String.valueOf(CompletionsFinishReason.TOOL_CALLS).toLowerCase()))) {
229-
var toolCallConversation = handleToolCalls(prompt, chatResponse);
230-
// Recursively call the call method with the tool call message
231-
// conversation that contains the call responses.
232-
return this.stream(new Prompt(toolCallConversation, prompt.getOptions()));
233-
}
234257

235-
return Mono.just(chatResponse);
258+
Flux<ChatResponse> flux = Flux.just(chatResponse).doOnError(observation::error).doFinally(s -> {
259+
// TODO: Consider a custom ObservationContext and
260+
// include additional metadata
261+
// if (s == SignalType.CANCEL) {
262+
// observationContext.setAborted(true);
263+
// }
264+
observation.stop();
265+
}).contextWrite(ctx -> ctx.put(ObservationThreadLocalAccessor.KEY, observation));
266+
// @formatter:on
267+
268+
return new MessageAggregator().aggregate(flux, observationContext::setResponse);
269+
});
270+
236271
});
272+
237273
}
238274

239275
private ChatResponse toChatResponse(ChatCompletions chatCompletions) {

‎models/spring-ai-azure-openai/src/test/java/org/springframework/ai/azure/openai/AzureOpenAiChatModelObservationIT.java

Lines changed: 57 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -19,7 +19,9 @@
1919
import static org.assertj.core.api.Assertions.assertThat;
2020

2121
import java.util.List;
22+
import java.util.stream.Collectors;
2223

24+
import org.junit.jupiter.api.BeforeEach;
2325
import org.junit.jupiter.api.Test;
2426
import org.junit.jupiter.api.condition.EnabledIfEnvironmentVariable;
2527

@@ -41,6 +43,7 @@
4143
import com.azure.core.http.policy.HttpLogOptions;
4244
import io.micrometer.observation.tck.TestObservationRegistry;
4345
import io.micrometer.observation.tck.TestObservationRegistryAssert;
46+
import reactor.core.publisher.Flux;
4447

4548
/**
4649
* @author Soby Chacko
@@ -56,6 +59,11 @@ class AzureOpenAiChatModelObservationIT {
5659
@Autowired
5760
TestObservationRegistry observationRegistry;
5861

62+
@BeforeEach
63+
void beforeEach() {
64+
observationRegistry.clear();
65+
}
66+
5967
@Test
6068
void observationForImperativeChatOperation() {
6169

@@ -76,22 +84,63 @@ void observationForImperativeChatOperation() {
7684
ChatResponseMetadata responseMetadata = chatResponse.getMetadata();
7785
assertThat(responseMetadata).isNotNull();
7886

79-
validate(responseMetadata);
87+
validate(responseMetadata, true);
88+
}
89+
90+
@Test
91+
void observationForStreamingChatOperation() {
92+
93+
var options = AzureOpenAiChatOptions.builder()
94+
.withFrequencyPenalty(0.0)
95+
.withDeploymentName("gpt-4o")
96+
.withMaxTokens(2048)
97+
.withPresencePenalty(0.0)
98+
.withStop(List.of("this-is-the-end"))
99+
.withTemperature(0.7)
100+
.withTopP(1.0)
101+
.build();
102+
103+
Prompt prompt = new Prompt("Why does a raven look like a desk?", options);
104+
105+
Flux<ChatResponse> chatResponseFlux = chatModel.stream(prompt);
106+
List<ChatResponse> responses = chatResponseFlux.collectList().block();
107+
assertThat(responses).isNotEmpty();
108+
assertThat(responses).hasSizeGreaterThan(10);
109+
110+
String aggregatedResponse = responses.subList(0, responses.size() - 1)
111+
.stream()
112+
.map(r -> r.getResult().getOutput().getContent())
113+
.collect(Collectors.joining());
114+
assertThat(aggregatedResponse).isNotEmpty();
115+
116+
ChatResponse lastChatResponse = responses.get(responses.size() - 1);
117+
118+
ChatResponseMetadata responseMetadata = lastChatResponse.getMetadata();
119+
assertThat(responseMetadata).isNotNull();
120+
121+
validate(responseMetadata, false);
80122
}
81123

82-
private void validate(ChatResponseMetadata responseMetadata) {
83-
TestObservationRegistryAssert.assertThat(observationRegistry)
124+
private void validate(ChatResponseMetadata responseMetadata, boolean checkModel) {
125+
126+
TestObservationRegistryAssert.That that = TestObservationRegistryAssert.assertThat(observationRegistry)
84127
.doesNotHaveAnyRemainingCurrentObservation()
85-
.hasObservationWithNameEqualTo(DefaultChatModelObservationConvention.DEFAULT_NAME)
86-
.that()
128+
.hasObservationWithNameEqualTo(DefaultChatModelObservationConvention.DEFAULT_NAME);
129+
130+
// TODO - Investigate why streaming does not contain model in the response.
131+
if (checkModel) {
132+
that.that()
133+
.hasLowCardinalityKeyValue(
134+
ChatModelObservationDocumentation.LowCardinalityKeyNames.RESPONSE_MODEL.asString(),
135+
responseMetadata.getModel());
136+
}
137+
138+
that.that()
87139
.hasLowCardinalityKeyValue(
88140
ChatModelObservationDocumentation.LowCardinalityKeyNames.AI_OPERATION_TYPE.asString(),
89141
AiOperationType.CHAT.value())
90142
.hasLowCardinalityKeyValue(ChatModelObservationDocumentation.LowCardinalityKeyNames.AI_PROVIDER.asString(),
91143
AiProvider.AZURE_OPENAI.value())
92-
.hasLowCardinalityKeyValue(
93-
ChatModelObservationDocumentation.LowCardinalityKeyNames.RESPONSE_MODEL.asString(),
94-
responseMetadata.getModel())
95144
.hasHighCardinalityKeyValue(
96145
ChatModelObservationDocumentation.HighCardinalityKeyNames.REQUEST_FREQUENCY_PENALTY.asString(),
97146
"0.0")

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