diff --git a/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java b/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java index ab0cb63d..1adf77c2 100644 --- a/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java +++ b/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java @@ -1,5 +1,6 @@ package dev.braintrust.instrumentation.awsbedrock.v2_30_0; +import dev.braintrust.instrumentation.ConverseStreamAccumulator; import dev.braintrust.instrumentation.InstrumentationSemConv; import io.opentelemetry.api.OpenTelemetry; import io.opentelemetry.api.trace.Span; @@ -8,7 +9,6 @@ import java.io.ByteArrayInputStream; import java.io.IOException; import java.io.InputStream; -import java.io.StringWriter; import java.nio.ByteBuffer; import java.nio.charset.StandardCharsets; import java.util.Arrays; @@ -30,9 +30,6 @@ import software.amazon.awssdk.http.SdkHttpRequest; import software.amazon.awssdk.services.bedrockruntime.model.ConverseRequest; import software.amazon.awssdk.services.bedrockruntime.model.ConverseStreamRequest; -import software.amazon.awssdk.thirdparty.jackson.core.JsonFactory; -import software.amazon.awssdk.thirdparty.jackson.core.JsonParser; -import software.amazon.awssdk.thirdparty.jackson.core.JsonToken; import software.amazon.eventstream.Message; import software.amazon.eventstream.MessageDecoder; @@ -49,8 +46,6 @@ class BraintrustBedrockInterceptor implements ExecutionInterceptor { private static final ExecutionAttribute MODEL_ID_ATTRIBUTE = new ExecutionAttribute<>("braintrust.modelId"); - private static final JsonFactory JSON_FACTORY = new JsonFactory(); - private final Tracer tracer; BraintrustBedrockInterceptor(OpenTelemetry openTelemetry) { @@ -234,21 +229,18 @@ private static String extractModelIdFromPath(String path) { } /** - * Tees the reactive byte stream into a {@link MessageDecoder}. On completion, decodes each - * event-stream frame using the AWS SDK's shaded Jackson streaming parser, accumulates the - * response content, and hands a synthetic Converse-shaped JSON string to semconv. + * Tees the reactive byte stream into a {@link MessageDecoder}, forwarding each decoded + * event-stream frame to a {@link ConverseStreamAccumulator}. On completion the accumulator's + * reconstructed Converse-shaped body is handed to semconv, so a streaming span carries the same + * content-block shapes — text, tool use, reasoning — as a synchronous one. */ private static class TeeingSubscriber implements Subscriber { private final Subscriber downstream; private final Span span; private final Tracer tracer; private final MessageDecoder decoder = new MessageDecoder(); + private final ConverseStreamAccumulator accumulator = new ConverseStreamAccumulator(); - // Accumulated incrementally in onNext — no message list retained. - private final StringBuilder text = new StringBuilder(); - private String stopReason = null; - private int inputTokens = 0; - private int outputTokens = 0; private long startNanos; private Long timeToFirstTokenNanos = null; @@ -271,28 +263,18 @@ public void onNext(ByteBuffer buf) { try { decoder.feed(copy); for (Message msg : decoder.getDecodedMessages()) { - var h = msg.getHeaders().get(":event-type"); - if (h == null) continue; - String eventType = h.getString(); - byte[] payload = msg.getPayload(); - switch (eventType) { - case "contentBlockDelta" -> { - String t = parseDeltaText(payload); - if (t != null) { - text.append(t); - if (timeToFirstTokenNanos == null) { - timeToFirstTokenNanos = System.nanoTime() - startNanos; - } - } - } - case "messageStop" -> stopReason = parseStopReason(payload); - case "metadata" -> { - int[] tokens = parseTokenUsage(payload); - inputTokens = tokens[0]; - outputTokens = tokens[1]; - } - default -> {} + var header = msg.getHeaders().get(":event-type"); + if (header == null) continue; + String eventType = header.getString(); + // First content frame marks time-to-first-token, whether the model opened with + // text, a tool call, or a reasoning block. + if (timeToFirstTokenNanos == null + && ("contentBlockDelta".equals(eventType) + || "contentBlockStart".equals(eventType))) { + timeToFirstTokenNanos = System.nanoTime() - startNanos; } + accumulator.accept( + eventType, new String(msg.getPayload(), StandardCharsets.UTF_8)); } } catch (Exception e) { log.debug("Failed to feed event-stream decoder", e); @@ -312,7 +294,7 @@ public void onComplete() { tracer, span, InstrumentationSemConv.PROVIDER_NAME_BEDROCK, - buildConverseJson(text.toString(), stopReason, inputTokens, outputTokens), + accumulator.build(), timeToFirstTokenNanos); } catch (Exception e) { log.debug("Failed to tag span from streaming response", e); @@ -320,99 +302,5 @@ public void onComplete() { downstream.onComplete(); } } - - /** - * Parses {@code delta.text} from a {@code contentBlockDelta} payload: {@code - * {"contentBlockIndex":0,"delta":{"text":"...","type":"text_delta"}}} - */ - private static String parseDeltaText(byte[] payload) throws Exception { - try (JsonParser p = JSON_FACTORY.createParser(payload)) { - boolean inDelta = false; - while (p.nextToken() != null) { - if (p.currentToken() == JsonToken.FIELD_NAME) { - if ("delta".equals(p.currentName())) { - inDelta = true; - } else if (inDelta && "text".equals(p.currentName())) { - p.nextToken(); - return p.getText(); - } - } else if (p.currentToken() == JsonToken.END_OBJECT) { - inDelta = false; - } - } - } - return null; - } - - /** - * Parses {@code stopReason} from a {@code messageStop} payload: {@code - * {"stopReason":"end_turn"}} - */ - private static String parseStopReason(byte[] payload) throws Exception { - try (JsonParser p = JSON_FACTORY.createParser(payload)) { - while (p.nextToken() != null) { - if (p.currentToken() == JsonToken.FIELD_NAME - && "stopReason".equals(p.currentName())) { - p.nextToken(); - return p.getText(); - } - } - } - return null; - } - - /** - * Parses {@code [inputTokens, outputTokens]} from a {@code metadata} payload: {@code - * {"usage":{"inputTokens":N,"outputTokens":M},"metrics":{...}}} - */ - private static int[] parseTokenUsage(byte[] payload) throws Exception { - int inputTokens = 0; - int outputTokens = 0; - try (JsonParser p = JSON_FACTORY.createParser(payload)) { - while (p.nextToken() != null) { - if (p.currentToken() == JsonToken.FIELD_NAME) { - if ("inputTokens".equals(p.currentName())) { - p.nextToken(); - inputTokens = p.getIntValue(); - } else if ("outputTokens".equals(p.currentName())) { - p.nextToken(); - outputTokens = p.getIntValue(); - } - } - } - } - return new int[] {inputTokens, outputTokens}; - } - - /** - * Builds a synthetic Converse-shaped JSON string matching what {@code tagBedrockResponse} - * expects, using the shaded Jackson generator for correct escaping. - */ - private static String buildConverseJson( - String text, String stopReason, int inputTokens, int outputTokens) - throws Exception { - StringWriter sw = new StringWriter(); - try (var gen = JSON_FACTORY.createGenerator(sw)) { - gen.writeStartObject(); - gen.writeObjectFieldStart("output"); - gen.writeObjectFieldStart("message"); - gen.writeStringField("role", "assistant"); - gen.writeArrayFieldStart("content"); - gen.writeStartObject(); - gen.writeStringField("text", text); - gen.writeEndObject(); - gen.writeEndArray(); - gen.writeEndObject(); // message - gen.writeEndObject(); // output - gen.writeStringField("stopReason", stopReason != null ? stopReason : "end_turn"); - gen.writeObjectFieldStart("usage"); - gen.writeNumberField("inputTokens", inputTokens); - gen.writeNumberField("outputTokens", outputTokens); - gen.writeNumberField("totalTokens", inputTokens + outputTokens); - gen.writeEndObject(); // usage - gen.writeEndObject(); - } - return sw.toString(); - } } } diff --git a/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/auto/AWSBedrockInstrumentationModule.java b/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/auto/AWSBedrockInstrumentationModule.java index 3b32edc8..8f0f378c 100644 --- a/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/auto/AWSBedrockInstrumentationModule.java +++ b/braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/auto/AWSBedrockInstrumentationModule.java @@ -39,7 +39,8 @@ public List getHelperClassNames() { MANUAL_INSTRUMENTATION_PACKAGE + "BraintrustBedrockInterceptor", MANUAL_INSTRUMENTATION_PACKAGE + "BraintrustBedrockInterceptor$TeeingSubscriber", "dev.braintrust.json.BraintrustJsonMapper", - "dev.braintrust.instrumentation.InstrumentationSemConv"); + "dev.braintrust.instrumentation.InstrumentationSemConv", + "dev.braintrust.instrumentation.ConverseStreamAccumulator"); } @Override diff --git a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchain.java b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchain.java index 9caa393c..9bf36fcc 100644 --- a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchain.java +++ b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchain.java @@ -64,16 +64,27 @@ public static T wrap(OpenTelemetry openTelemetry, AiServices aiServices) if (context.toolService != null) { // ////// CREATE A SPAN FOR EACH TOOL CALL + // toolExecutors() hands back the live map on the AiServiceContext, and that + // context outlives build() and is shared with every service already built from + // this builder. Wrapping unconditionally would therefore nest a second tracing + // executor on the next build — duplicating every tool span, for the earlier + // services too — so already-wrapped entries are left alone. Same reasoning as the + // `instanceof WrappedHttpClient` guards on the model paths below. for (Map.Entry entry : context.toolService.toolExecutors().entrySet()) { String toolName = entry.getKey(); ToolExecutor original = entry.getValue(); + if (original instanceof TracingToolExecutor) { + log.debug("tool already instrumented. skipping: {}", toolName); + continue; + } entry.setValue(new TracingToolExecutor(original, toolName, tracer)); } // ////// LINK SPANS ACROSS CONCURRENT TOOL CALLS var underlyingExecutor = context.toolService.executor(); - if (underlyingExecutor != null) { + if (underlyingExecutor != null + && !(underlyingExecutor instanceof OtelContextPassingExecutor)) { aiServices.executeToolsConcurrently( new OtelContextPassingExecutor(underlyingExecutor)); } diff --git a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/WrappedHttpClient.java b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/WrappedHttpClient.java index a25ff58a..cdac0cb0 100644 --- a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/WrappedHttpClient.java +++ b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/WrappedHttpClient.java @@ -15,6 +15,7 @@ import io.opentelemetry.api.OpenTelemetry; import io.opentelemetry.api.trace.Span; import io.opentelemetry.api.trace.SpanKind; +import io.opentelemetry.api.trace.StatusCode; import io.opentelemetry.api.trace.Tracer; import io.opentelemetry.context.Scope; import java.net.URI; @@ -133,11 +134,24 @@ static class WrappedServerSentEventListener implements ServerSentEventListener { private final String providerName; private final Tracer tracer; private final long startNanos = System.nanoTime(); - private final AtomicLong timeToFirstTokenNanos = new AtomicLong(); + // Time-to-first-token is measured from the first payload that carries generated output, + // not the first payload of any kind — a Responses stream opens with response.created + // before the model has produced anything. firstPayloadNanos is a fallback for streams + // whose shape is not recognized at all; sawRecognizedShape is what keeps that fallback + // from firing on a recognized stream that simply never produced output, where the honest + // answer is that there was no first token. + private final AtomicLong firstOutputNanos = new AtomicLong(); + private final AtomicLong firstPayloadNanos = new AtomicLong(); + private volatile boolean sawRecognizedShape; // Handles both endpoints this module instruments: chat-completions chunk streams and // Responses API (`/v1/responses`) event streams. private final SseStreamAccumulator accumulator = new SseStreamAccumulator(BraintrustJsonMapper.get()); + // A stream can report a failed generation in band, after the HTTP request itself has + // succeeded. LangChain4j delivers those failures to the caller's own response handler and + // then closes the transport normally, so onError below is never reached — retaining the + // failure here is what stops onClose from finalizing a failed call as a successful span. + @javax.annotation.Nullable private volatile String streamFailure; WrappedServerSentEventListener( ServerSentEventListener delegate, Span span, String providerName, Tracer tracer) { @@ -157,7 +171,7 @@ public void onOpen(SuccessfulHttpResponse response) { @Override public void onEvent(ServerSentEvent event, ServerSentEventContext context) { try (Scope ignored = span.makeCurrent()) { - accumulateChunk(event.data()); + accumulateEvent(event); delegate.onEvent(event, context); } } @@ -165,7 +179,7 @@ public void onEvent(ServerSentEvent event, ServerSentEventContext context) { @Override public void onEvent(ServerSentEvent event) { try (Scope ignored = span.makeCurrent()) { - accumulateChunk(event.data()); + accumulateEvent(event); delegate.onEvent(event); } } @@ -190,17 +204,62 @@ public void onClose() { } } - private void accumulateChunk(String data) { + private void accumulateEvent(ServerSentEvent event) { + String data = event.data(); + if (streamFailure == null) { + streamFailure = + SseStreamAccumulator.streamFailure( + BraintrustJsonMapper.get(), event.event(), data); + } if (data == null || data.isEmpty() || "[DONE]".equals(data)) return; - if (timeToFirstTokenNanos.get() == 0L) { - timeToFirstTokenNanos.compareAndExchange(0L, System.nanoTime() - startNanos); + firstPayloadNanos.compareAndExchange(0L, System.nanoTime() - startNanos); + // Only classify until the first output is seen; afterwards this is a single volatile + // read per chunk. + if (firstOutputNanos.get() == 0L) { + var kind = SseStreamAccumulator.classify(BraintrustJsonMapper.get(), data); + if (kind != SseStreamAccumulator.PayloadKind.UNRECOGNIZED) { + sawRecognizedShape = true; + } + if (kind == SseStreamAccumulator.PayloadKind.OUTPUT) { + firstOutputNanos.compareAndExchange(0L, System.nanoTime() - startNanos); + } } accumulator.merge(data); } + /** + * Source for {@code time_to_first_token}, or {@code null} when the stream produced no first + * token to time. + * + *

The first generated output when there was one. Otherwise the first payload, but only + * for a stream whose shape was never recognized — there the timestamp is a slightly early + * approximation, which beats dropping a metric the spec requires for streaming spans. A + * recognized stream that produced no output (one that failed before generating, or + * completed empty) reports nothing: its first payload is lifecycle metadata, and publishing + * that as a token latency would silently corrupt latency aggregates. + */ + @javax.annotation.Nullable + private Long timeToFirstTokenNanos() { + long output = firstOutputNanos.get(); + if (output != 0L) { + return output; + } + if (sawRecognizedShape) { + return null; + } + long payload = firstPayloadNanos.get(); + return payload != 0L ? payload : null; + } + private void finalizeSpan() { + String failure = streamFailure; + if (failure != null) { + // Recorded before tagging: a failed stream's body is often partial, and losing the + // error status to a tagging problem is worse than losing the partial output. + span.setStatus(StatusCode.ERROR, failure); + } try { - Long ttft = timeToFirstTokenNanos.get(); + Long ttft = timeToFirstTokenNanos(); String responseBody = accumulator.build(); InstrumentationSemConv.tagLLMSpanResponse( tracer, span, providerName, responseBody, ttft); diff --git a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/auto/LangchainInstrumentationModule.java b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/auto/LangchainInstrumentationModule.java index 6019bce0..add24450 100644 --- a/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/auto/LangchainInstrumentationModule.java +++ b/braintrust-sdk/instrumentation/langchain_1_14_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_14_0/auto/LangchainInstrumentationModule.java @@ -53,6 +53,7 @@ public List getHelperClassNames() { MANUAL_PACKAGE + "TracingToolExecutor", MANUAL_PACKAGE + "OtelContextPassingExecutor", "dev.braintrust.instrumentation.SseStreamAccumulator", + "dev.braintrust.instrumentation.SseStreamAccumulator$PayloadKind", "dev.braintrust.instrumentation.SseResponseAccumulator", "dev.braintrust.instrumentation.InstrumentationSemConv", "dev.braintrust.json.BraintrustJsonMapper"); diff --git a/braintrust-sdk/instrumentation/langchain_1_14_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchainTest.java b/braintrust-sdk/instrumentation/langchain_1_14_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchainTest.java index 49b4b809..49baf8b9 100644 --- a/braintrust-sdk/instrumentation/langchain_1_14_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchainTest.java +++ b/braintrust-sdk/instrumentation/langchain_1_14_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_14_0/BraintrustLangchainTest.java @@ -9,6 +9,7 @@ import dev.langchain4j.agent.tool.Tool; import dev.langchain4j.agent.tool.ToolSpecification; import dev.langchain4j.data.message.UserMessage; +import dev.langchain4j.http.client.sse.ServerSentEvent; import dev.langchain4j.model.chat.ChatModel; import dev.langchain4j.model.chat.StreamingChatModel; import dev.langchain4j.model.chat.request.ChatRequest; @@ -22,6 +23,7 @@ import dev.langchain4j.service.AiServices; import io.opentelemetry.api.common.AttributeKey; import io.opentelemetry.api.trace.Span; +import io.opentelemetry.api.trace.StatusCode; import io.opentelemetry.sdk.trace.data.SpanData; import java.util.List; import java.util.Map; @@ -853,6 +855,210 @@ private static Object readField(Object obj, String name) { return field.get(obj); } + /** + * A builder's tool-executor map lives on the AiServiceContext and outlives build(), and is + * shared with every service already built from that builder. Re-wrapping entries that are + * already wrapped would nest a second TracingToolExecutor on each build, so one tool invocation + * would emit duplicate — and monotonically increasing — tool spans, including through the + * service returned by the first build. + */ + @Test + @SneakyThrows + void repeatedBuildsDoNotNestToolTracing() { + var builder = + AiServices.builder(Assistant.class) + .chatModel( + OpenAiChatModel.builder() + .apiKey(testHarness.openAiApiKey()) + .baseUrl(testHarness.openAiBaseUrl()) + .modelName("gpt-4o-mini") + .build()) + .tools(new WeatherTools()) + .executeToolsConcurrently(); + + // Auto-instrumentation wraps on every build(); no request is issued by building. + builder.build(); + builder.build(); + builder.build(); + + Object toolService = walkField(walkField(builder, "context"), "toolService"); + @SuppressWarnings("unchecked") + var executors = + (Map) + toolService.getClass().getMethod("toolExecutors").invoke(toolService); + assertFalse(executors.isEmpty(), "precondition: tools should be registered"); + executors.forEach( + (name, executor) -> { + assertInstanceOf( + TracingToolExecutor.class, executor, name + " should be instrumented"); + assertFalse( + walkField(executor, "delegate") instanceof TracingToolExecutor, + name + " should be wrapped once, not once per build()"); + }); + + Object executor = toolService.getClass().getMethod("executor").invoke(toolService); + assertInstanceOf( + OtelContextPassingExecutor.class, executor, "executor should pass otel context"); + assertFalse( + walkField(executor, "underlying") instanceof OtelContextPassingExecutor, + "concurrent-tool executor should be wrapped once, not once per build()"); + } + + /** Reads a private field declared anywhere in the object's class hierarchy. */ + @SneakyThrows + private static Object walkField(Object obj, String name) { + for (Class c = obj.getClass(); c != null; c = c.getSuperclass()) { + try { + var field = c.getDeclaredField(name); + field.setAccessible(true); + return field.get(obj); + } catch (NoSuchFieldException searchSuperclass) { + // declared further up the hierarchy + } + } + throw new NoSuchFieldException(name); + } + + /** + * OpenAI reports a failed generation as an ordinary event on a stream that then closes cleanly. + * LangChain4j hands that event to the caller's own response handler and lets the transport + * finish normally, so this listener's onError is never reached — without retaining the in-band + * failure the span would be finalized as a success. + */ + @Test + @SneakyThrows + void inBandStreamFailureMarksTheSpanAsAnError() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("responses").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.created\",\"response\":{\"id\":\"resp_1\"," + + "\"model\":\"gpt-4o-mini\",\"status\":\"in_progress\"}}")); + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.failed\",\"response\":{\"id\":\"resp_1\"," + + "\"model\":\"gpt-4o-mini\",\"status\":\"failed\"," + + "\"error\":{\"code\":\"server_error\",\"message\":\"The server" + + " had an error while processing your request.\"}}}")); + // langchain4j closes the stream normally after delivering the failure. + listener.onClose(); + + var exported = testHarness.awaitExportedSpans(1).get(0); + assertEquals( + StatusCode.ERROR, + exported.getStatus().getStatusCode(), + "a failed generation must not be recorded as a successful span"); + assertEquals( + "The server had an error while processing your request.", + exported.getStatus().getDescription()); + } + + /** The mirror case: a stream that completes normally leaves the span status alone. */ + @Test + @SneakyThrows + void healthyStreamLeavesTheSpanStatusUnset() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("responses").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.output_text.delta\",\"item_id\":\"msg_1\"," + + "\"output_index\":0,\"delta\":\"Paris\"}")); + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.completed\",\"response\":{\"id\":\"resp_1\"," + + "\"model\":\"gpt-4o-mini\",\"status\":\"completed\"," + + "\"output\":[{\"id\":\"msg_1\",\"type\":\"message\"," + + "\"role\":\"assistant\",\"content\":[{\"type\":\"output_text\"," + + "\"text\":\"Paris\"}]}],\"usage\":{\"input_tokens\":5," + + "\"output_tokens\":1,\"total_tokens\":6}}}")); + listener.onClose(); + + var exported = testHarness.awaitExportedSpans(1).get(0); + assertEquals(StatusCode.UNSET, exported.getStatus().getStatusCode()); + } + + /** + * A Responses stream that fails before generating anything still emits lifecycle events, so a + * first-payload fallback would publish time-to-response-metadata as a token latency. There was + * no first token, so there must be no metric. + */ + @Test + @SneakyThrows + void streamThatProducesNoOutputReportsNoTimeToFirstToken() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("responses").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.created\",\"response\":{\"id\":\"resp_1\"," + + "\"model\":\"gpt-4o-mini\",\"status\":\"in_progress\"}}")); + listener.onEvent( + new ServerSentEvent( + null, + "{\"type\":\"response.failed\",\"response\":{\"id\":\"resp_1\"," + + "\"model\":\"gpt-4o-mini\",\"status\":\"failed\"," + + "\"error\":{\"message\":\"boom\"}}}")); + listener.onClose(); + + var metricsJson = + testHarness + .awaitExportedSpans(1) + .get(0) + .getAttributes() + .get(AttributeKey.stringKey("braintrust.metrics")); + // Asserted unconditionally: absent metrics and present-but-without-TTFT are both correct, + // but an `if (metricsJson != null)` guard would let the case pass without asserting. + boolean reportedTtft = + metricsJson != null && JSON_MAPPER.readTree(metricsJson).has("time_to_first_token"); + assertFalse( + reportedTtft, "a stream that generated nothing must not report a token latency"); + } + + /** + * The fallback the recognition gate must not break: for a stream shape the accumulator does not + * understand, approximating TTFT from the first payload beats dropping a metric the spec + * requires on streaming spans. + */ + @Test + @SneakyThrows + void unrecognizedStreamShapeStillReportsTimeToFirstToken() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("responses").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent(new ServerSentEvent(null, "{\"some_future_wire_shape\":\"hello\"}")); + listener.onClose(); + + var metricsJson = + testHarness + .awaitExportedSpans(1) + .get(0) + .getAttributes() + .get(AttributeKey.stringKey("braintrust.metrics")); + assertNotNull(metricsJson, "an unrecognized stream should still be timed"); + assertTrue( + JSON_MAPPER.readTree(metricsJson).get("time_to_first_token").asDouble() >= 0.0, + "unrecognized shapes fall back to the first payload timestamp"); + } + /** AI Service interface for the assistant */ interface Assistant { String chat(String userMessage); diff --git a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchain.java b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchain.java index 33d68841..ff8fc5c3 100644 --- a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchain.java +++ b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchain.java @@ -57,16 +57,27 @@ public static T wrap(OpenTelemetry openTelemetry, AiServices aiServices) if (context.toolService != null) { // ////// CREATE A SPAN FOR EACH TOOL CALL + // toolExecutors() hands back the live map on the AiServiceContext, and that + // context outlives build() and is shared with every service already built from + // this builder. Wrapping unconditionally would therefore nest a second tracing + // executor on the next build — duplicating every tool span, for the earlier + // services too — so already-wrapped entries are left alone. Same reasoning as the + // `instanceof WrappedHttpClient` guards on the model paths below. for (Map.Entry entry : context.toolService.toolExecutors().entrySet()) { String toolName = entry.getKey(); ToolExecutor original = entry.getValue(); + if (original instanceof TracingToolExecutor) { + log.debug("tool already instrumented. skipping: {}", toolName); + continue; + } entry.setValue(new TracingToolExecutor(original, toolName, tracer)); } // ////// LINK SPANS ACROSS CONCURRENT TOOL CALLS var underlyingExecutor = context.toolService.executor(); - if (underlyingExecutor != null) { + if (underlyingExecutor != null + && !(underlyingExecutor instanceof OtelContextPassingExecutor)) { aiServices.executeToolsConcurrently( new OtelContextPassingExecutor(underlyingExecutor)); } diff --git a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/WrappedHttpClient.java b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/WrappedHttpClient.java index c007649e..bff3fb45 100644 --- a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/WrappedHttpClient.java +++ b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/WrappedHttpClient.java @@ -3,6 +3,7 @@ import dev.braintrust.bootstrap.BraintrustBridge; import dev.braintrust.instrumentation.InstrumentationSemConv; import dev.braintrust.instrumentation.SseResponseAccumulator; +import dev.braintrust.instrumentation.SseStreamAccumulator; import dev.braintrust.json.BraintrustJsonMapper; import dev.langchain4j.exception.HttpException; import dev.langchain4j.http.client.HttpClient; @@ -15,6 +16,7 @@ import io.opentelemetry.api.OpenTelemetry; import io.opentelemetry.api.trace.Span; import io.opentelemetry.api.trace.SpanKind; +import io.opentelemetry.api.trace.StatusCode; import io.opentelemetry.api.trace.Tracer; import io.opentelemetry.context.Scope; import java.net.URI; @@ -129,6 +131,11 @@ static class WrappedServerSentEventListener implements ServerSentEventListener { private final AtomicLong timeToFirstTokenNanos = new AtomicLong(); private final SseResponseAccumulator accumulator = new SseResponseAccumulator(BraintrustJsonMapper.get()); + // A stream can report a failed generation in band, after the HTTP request itself has + // succeeded. LangChain4j delivers those failures to the caller's own response handler and + // then closes the transport normally, so onError below is never reached — retaining the + // failure here is what stops onClose from finalizing a failed call as a successful span. + @javax.annotation.Nullable private volatile String streamFailure; WrappedServerSentEventListener( ServerSentEventListener delegate, Span span, String providerName, Tracer tracer) { @@ -148,7 +155,7 @@ public void onOpen(SuccessfulHttpResponse response) { @Override public void onEvent(ServerSentEvent event, ServerSentEventContext context) { try (Scope ignored = span.makeCurrent()) { - accumulateChunk(event.data()); + accumulateEvent(event); delegate.onEvent(event, context); } } @@ -156,7 +163,7 @@ public void onEvent(ServerSentEvent event, ServerSentEventContext context) { @Override public void onEvent(ServerSentEvent event) { try (Scope ignored = span.makeCurrent()) { - accumulateChunk(event.data()); + accumulateEvent(event); delegate.onEvent(event); } } @@ -181,7 +188,13 @@ public void onClose() { } } - private void accumulateChunk(String data) { + private void accumulateEvent(ServerSentEvent event) { + String data = event.data(); + if (streamFailure == null) { + streamFailure = + SseStreamAccumulator.streamFailure( + BraintrustJsonMapper.get(), event.event(), data); + } if (data == null || data.isEmpty() || "[DONE]".equals(data)) return; if (timeToFirstTokenNanos.get() == 0L) { timeToFirstTokenNanos.compareAndExchange(0L, System.nanoTime() - startNanos); @@ -190,8 +203,17 @@ private void accumulateChunk(String data) { } private void finalizeSpan() { + String failure = streamFailure; + if (failure != null) { + // Recorded before tagging: a failed stream's body is often partial, and losing the + // error status to a tagging problem is worse than losing the partial output. + span.setStatus(StatusCode.ERROR, failure); + } try { - Long ttft = timeToFirstTokenNanos.get(); + // Absent rather than zero: a stream that never delivered a payload has no first + // token to time, and 0.0 would land in latency aggregates as a real measurement. + long elapsed = timeToFirstTokenNanos.get(); + Long ttft = elapsed != 0L ? elapsed : null; String responseBody = accumulator.build(); InstrumentationSemConv.tagLLMSpanResponse( tracer, span, providerName, responseBody, ttft); diff --git a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/auto/LangchainInstrumentationModule.java b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/auto/LangchainInstrumentationModule.java index 80cdd172..658b46c3 100644 --- a/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/auto/LangchainInstrumentationModule.java +++ b/braintrust-sdk/instrumentation/langchain_1_8_0/src/main/java/dev/braintrust/instrumentation/langchain/v1_8_0/auto/LangchainInstrumentationModule.java @@ -51,6 +51,8 @@ public List getHelperClassNames() { MANUAL_PACKAGE + "TracingProxy", MANUAL_PACKAGE + "TracingToolExecutor", MANUAL_PACKAGE + "OtelContextPassingExecutor", + "dev.braintrust.instrumentation.SseStreamAccumulator", + "dev.braintrust.instrumentation.SseStreamAccumulator$PayloadKind", "dev.braintrust.instrumentation.SseResponseAccumulator", "dev.braintrust.instrumentation.InstrumentationSemConv", "dev.braintrust.json.BraintrustJsonMapper"); diff --git a/braintrust-sdk/instrumentation/langchain_1_8_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchainTest.java b/braintrust-sdk/instrumentation/langchain_1_8_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchainTest.java index d25da0b6..cf84bf74 100644 --- a/braintrust-sdk/instrumentation/langchain_1_8_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchainTest.java +++ b/braintrust-sdk/instrumentation/langchain_1_8_0/src/test/java/dev/braintrust/instrumentation/langchain/v1_8_0/BraintrustLangchainTest.java @@ -9,6 +9,7 @@ import dev.langchain4j.agent.tool.Tool; import dev.langchain4j.agent.tool.ToolSpecification; import dev.langchain4j.data.message.UserMessage; +import dev.langchain4j.http.client.sse.ServerSentEvent; import dev.langchain4j.model.chat.ChatModel; import dev.langchain4j.model.chat.StreamingChatModel; import dev.langchain4j.model.chat.request.ChatRequest; @@ -20,8 +21,10 @@ import dev.langchain4j.service.AiServices; import io.opentelemetry.api.common.AttributeKey; import io.opentelemetry.api.trace.Span; +import io.opentelemetry.api.trace.StatusCode; import io.opentelemetry.sdk.trace.data.SpanData; import java.util.List; +import java.util.Map; import java.util.concurrent.CompletableFuture; import java.util.concurrent.atomic.AtomicInteger; import lombok.SneakyThrows; @@ -428,6 +431,131 @@ void testAiServicesWithTools() { assertTrue(numToolCallSpans >= 2, "should be at least two tool call spans"); } + /** + * A builder's tool-executor map lives on the AiServiceContext and outlives build(), and is + * shared with every service already built from that builder. Re-wrapping entries that are + * already wrapped would nest a second TracingToolExecutor on each build, so one tool invocation + * would emit duplicate — and monotonically increasing — tool spans, including through the + * service returned by the first build. + */ + @Test + @SneakyThrows + void repeatedBuildsDoNotNestToolTracing() { + var builder = + AiServices.builder(Assistant.class) + .chatModel( + OpenAiChatModel.builder() + .apiKey(testHarness.openAiApiKey()) + .baseUrl(testHarness.openAiBaseUrl()) + .modelName("gpt-4o-mini") + .build()) + .tools(new WeatherTools()) + .executeToolsConcurrently(); + + // Auto-instrumentation wraps on every build(); no request is issued by building. + builder.build(); + builder.build(); + builder.build(); + + Object toolService = walkField(walkField(builder, "context"), "toolService"); + @SuppressWarnings("unchecked") + var executors = + (Map) + toolService.getClass().getMethod("toolExecutors").invoke(toolService); + assertFalse(executors.isEmpty(), "precondition: tools should be registered"); + executors.forEach( + (name, executor) -> { + assertInstanceOf( + TracingToolExecutor.class, executor, name + " should be instrumented"); + assertFalse( + walkField(executor, "delegate") instanceof TracingToolExecutor, + name + " should be wrapped once, not once per build()"); + }); + + Object executor = toolService.getClass().getMethod("executor").invoke(toolService); + assertInstanceOf( + OtelContextPassingExecutor.class, executor, "executor should pass otel context"); + assertFalse( + walkField(executor, "underlying") instanceof OtelContextPassingExecutor, + "concurrent-tool executor should be wrapped once, not once per build()"); + } + + /** Reads a private field declared anywhere in the object's class hierarchy. */ + @SneakyThrows + private static Object walkField(Object obj, String name) { + for (Class c = obj.getClass(); c != null; c = c.getSuperclass()) { + try { + var field = c.getDeclaredField(name); + field.setAccessible(true); + return field.get(obj); + } catch (NoSuchFieldException searchSuperclass) { + // declared further up the hierarchy + } + } + throw new NoSuchFieldException(name); + } + + /** + * A chat-completions stream signals an in-stream failure with an SSE frame named {@code error}. + * LangChain4j hands that to the caller's own error handler and lets the transport finish + * normally, so this listener's onError is never reached — without retaining the in-band failure + * the span would be finalized as a success. + */ + @Test + @SneakyThrows + void inBandStreamFailureMarksTheSpanAsAnError() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("Chat Completion").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent( + new ServerSentEvent( + null, + "{\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4o-mini\"," + + "\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\"," + + "\"content\":\"\"}}]}")); + listener.onEvent( + new ServerSentEvent( + "error", + "{\"error\":{\"message\":\"The server is overloaded.\"," + + "\"type\":\"server_error\"}}")); + // langchain4j closes the stream normally after delivering the failure. + listener.onClose(); + + var exported = testHarness.awaitExportedSpans(1).get(0); + assertEquals( + StatusCode.ERROR, + exported.getStatus().getStatusCode(), + "a failed generation must not be recorded as a successful span"); + assertEquals("The server is overloaded.", exported.getStatus().getDescription()); + } + + /** The mirror case: a stream that completes normally leaves the span status alone. */ + @Test + @SneakyThrows + void healthyStreamLeavesTheSpanStatusUnset() { + var tracer = testHarness.openTelemetry().getTracer("test-tracer"); + var span = tracer.spanBuilder("Chat Completion").startSpan(); + var listener = + new WrappedHttpClient.WrappedServerSentEventListener( + throwable -> {}, span, "openai", tracer); + + listener.onEvent( + new ServerSentEvent( + null, + "{\"object\":\"chat.completion.chunk\",\"model\":\"gpt-4o-mini\"," + + "\"choices\":[{\"index\":0,\"delta\":{\"content\":\"Paris\"}," + + "\"finish_reason\":\"stop\"}],\"usage\":{\"prompt_tokens\":5," + + "\"completion_tokens\":1,\"total_tokens\":6}}")); + listener.onEvent(new ServerSentEvent(null, "[DONE]")); + listener.onClose(); + + var exported = testHarness.awaitExportedSpans(1).get(0); + assertEquals(StatusCode.UNSET, exported.getStatus().getStatusCode()); + } + /** AI Service interface for the assistant */ interface Assistant { String chat(String userMessage); diff --git a/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/ConverseStreamAccumulator.java b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/ConverseStreamAccumulator.java new file mode 100644 index 00000000..6554db2a --- /dev/null +++ b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/ConverseStreamAccumulator.java @@ -0,0 +1,270 @@ +package dev.braintrust.instrumentation; + +import com.fasterxml.jackson.core.JsonProcessingException; +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.fasterxml.jackson.databind.node.ArrayNode; +import com.fasterxml.jackson.databind.node.ObjectNode; +import dev.braintrust.json.BraintrustJsonMapper; +import java.util.LinkedHashMap; +import java.util.Map; +import javax.annotation.Nullable; +import javax.annotation.concurrent.NotThreadSafe; +import lombok.SneakyThrows; +import lombok.extern.slf4j.Slf4j; + +/** + * Reconstructs a non-streaming Bedrock {@code Converse} response body from the event-stream frames + * of a {@code ConverseStream} call, so a streaming span can be tagged by the same {@code + * PROVIDER_NAME_BEDROCK} code path as a synchronous one. + * + *

Content blocks are rebuilt per {@code contentBlockIndex} and each keeps its real Bedrock shape + * — {@code text}, {@code toolUse}, {@code reasoningContent} — rather than everything collapsing to + * text. That shape match is the point: {@link InstrumentationSemConv} normalizes the assembled + * message with the same helper it uses for a synchronous response, so streaming and non-streaming + * traces render identically. + * + *

Frames arrive as {@code (eventType, payload)} pairs; feed every frame via {@link #accept} and + * call {@link #build} once the stream completes. Unrecognized event types and malformed payloads + * are skipped, so callers can forward everything without pre-filtering. + * + * @see Bedrock + * ConverseStream API reference + */ +@Slf4j +@NotThreadSafe +public final class ConverseStreamAccumulator { + + private final ObjectMapper jsonMapper; + + private String role = "assistant"; + @Nullable private String stopReason; + @Nullable private ObjectNode usage; + + /** Assembled content blocks in Bedrock's response shape, keyed by {@code contentBlockIndex}. */ + private final Map blocksByIndex = new LinkedHashMap<>(); + + /** + * A {@code toolUse} block's {@code input} streams as concatenated JSON fragments; buffer them + * per index and parse once at {@link #build} time. + */ + private final Map toolInputByIndex = new LinkedHashMap<>(); + + /** + * Uses the SDK's shared mapper. Preferred by instrumentation modules, which do not carry + * Jackson on their own compile classpath. + */ + public ConverseStreamAccumulator() { + this(BraintrustJsonMapper.get()); + } + + public ConverseStreamAccumulator(ObjectMapper jsonMapper) { + this.jsonMapper = jsonMapper; + } + + /** + * Merge one event-stream frame. + * + * @param eventType the frame's {@code :event-type} header, e.g. {@code contentBlockDelta} + * @param payload the frame's JSON payload + */ + public void accept(@Nullable String eventType, @Nullable String payload) { + if (eventType == null || payload == null || payload.isBlank()) { + return; + } + JsonNode event; + try { + event = jsonMapper.readTree(payload); + } catch (JsonProcessingException e) { + log.debug("Failed to parse ConverseStream {} payload: {}", eventType, payload, e); + return; + } + if (event == null || !event.isObject()) { + return; + } + switch (eventType) { + case "messageStart" -> { + if (event.hasNonNull("role")) { + role = event.get("role").asText(); + } + } + case "contentBlockStart" -> mergeContentBlockStart(event); + case "contentBlockDelta" -> mergeContentBlockDelta(event); + case "messageStop" -> { + if (event.hasNonNull("stopReason")) { + stopReason = event.get("stopReason").asText(); + } + } + case "metadata" -> { + // Pass usage through whole: whatever Bedrock reports (including cache counters) + // reaches the tagger, rather than a hand-picked subset. + if (event.has("usage") && event.get("usage").isObject()) { + usage = (ObjectNode) event.get("usage").deepCopy(); + } + } + default -> { + // contentBlockStop, and any event type added by a later API version: nothing to + // accumulate. Block completion is implied by the stream ending. + } + } + } + + /** + * {@code contentBlockStart} carries the identity of a non-text block — for {@code toolUse}, its + * {@code toolUseId} and {@code name}, which no later delta repeats. + */ + private void mergeContentBlockStart(JsonNode event) { + JsonNode start = event.get("start"); + if (start == null || !start.isObject()) { + return; + } + int index = blockIndex(event); + JsonNode toolUse = start.get("toolUse"); + if (toolUse != null && toolUse.isObject()) { + ObjectNode block = blockAt(index); + ObjectNode target = childObject(block, "toolUse"); + copyIfPresent(toolUse, target, "toolUseId"); + copyIfPresent(toolUse, target, "name"); + } + } + + /** + * {@code contentBlockDelta} carries one fragment of a block. The fragment's own key identifies + * which kind of block it belongs to: {@code text} for plain output, {@code toolUse.input} for + * tool arguments, {@code reasoningContent} for extended-thinking output. + */ + private void mergeContentBlockDelta(JsonNode event) { + JsonNode delta = event.get("delta"); + if (delta == null || !delta.isObject()) { + return; + } + int index = blockIndex(event); + + if (delta.hasNonNull("text")) { + appendText(blockAt(index), "text", delta.get("text").asText()); + return; + } + + JsonNode toolUse = delta.get("toolUse"); + if (toolUse != null && toolUse.isObject() && toolUse.hasNonNull("input")) { + // Ensure the block exists even if contentBlockStart was missed, so the arguments are + // not dropped for want of a toolUseId. + childObject(blockAt(index), "toolUse"); + toolInputByIndex + .computeIfAbsent(index, i -> new StringBuilder()) + .append(toolUse.get("input").asText()); + return; + } + + JsonNode reasoning = delta.get("reasoningContent"); + if (reasoning != null && reasoning.isObject()) { + mergeReasoningDelta(blockAt(index), reasoning); + } + } + + /** + * Reasoning deltas arrive flat ({@code delta.reasoningContent.text}) but a synchronous response + * nests the same data one level deeper, under {@code reasoningContent.reasoningText}. Rebuild + * the nested shape so both paths normalize identically. {@code redactedContent} is a sibling of + * {@code reasoningText}, not part of it. + */ + private void mergeReasoningDelta(ObjectNode block, JsonNode reasoning) { + ObjectNode reasoningContent = childObject(block, "reasoningContent"); + if (reasoning.hasNonNull("redactedContent")) { + appendText( + reasoningContent, "redactedContent", reasoning.get("redactedContent").asText()); + } + if (reasoning.hasNonNull("text") || reasoning.hasNonNull("signature")) { + ObjectNode reasoningText = childObject(reasoningContent, "reasoningText"); + if (reasoning.hasNonNull("text")) { + appendText(reasoningText, "text", reasoning.get("text").asText()); + } + if (reasoning.hasNonNull("signature")) { + appendText(reasoningText, "signature", reasoning.get("signature").asText()); + } + } + } + + /** + * Serialize the reconstructed response in {@code Converse} response shape. Leaves this + * accumulator's state untouched, so a partial build mid-stream is also valid. + */ + @SneakyThrows(JsonProcessingException.class) + public String build() { + ArrayNode content = jsonMapper.createArrayNode(); + blocksByIndex.entrySet().stream() + .sorted(Map.Entry.comparingByKey()) + .forEach(entry -> content.add(finalizeBlock(entry.getKey(), entry.getValue()))); + + ObjectNode message = jsonMapper.createObjectNode(); + message.put("role", role); + message.set("content", content); + + ObjectNode output = jsonMapper.createObjectNode(); + output.set("message", message); + + ObjectNode root = jsonMapper.createObjectNode(); + root.set("output", output); + if (stopReason != null) { + root.put("stopReason", stopReason); + } + if (usage != null) { + root.set("usage", usage); + } + return jsonMapper.writeValueAsString(root); + } + + /** Attaches a tool block's buffered argument fragments as parsed JSON. */ + private ObjectNode finalizeBlock(int index, ObjectNode block) { + StringBuilder toolInput = toolInputByIndex.get(index); + if (toolInput == null || !block.has("toolUse")) { + return block; + } + ObjectNode toolUse = (ObjectNode) block.get("toolUse"); + String json = toolInput.toString(); + if (json.isEmpty()) { + toolUse.set("input", jsonMapper.createObjectNode()); + return block; + } + try { + toolUse.set("input", jsonMapper.readTree(json)); + } catch (JsonProcessingException e) { + // A truncated or otherwise unparseable fragment stream is still worth surfacing — + // keep it as a string rather than dropping the arguments entirely. + log.debug("Failed to parse accumulated toolUse input: {}", json, e); + toolUse.put("input", json); + } + return block; + } + + private static int blockIndex(JsonNode event) { + return event.hasNonNull("contentBlockIndex") ? event.get("contentBlockIndex").asInt() : 0; + } + + private ObjectNode blockAt(int index) { + return blocksByIndex.computeIfAbsent(index, i -> jsonMapper.createObjectNode()); + } + + /** Returns {@code parent[field]} as an object, creating it when absent. */ + private ObjectNode childObject(ObjectNode parent, String field) { + JsonNode existing = parent.get(field); + if (existing != null && existing.isObject()) { + return (ObjectNode) existing; + } + ObjectNode created = jsonMapper.createObjectNode(); + parent.set(field, created); + return created; + } + + private static void appendText(ObjectNode target, String field, String value) { + String existing = target.hasNonNull(field) ? target.get(field).asText() : ""; + target.put(field, existing + value); + } + + private static void copyIfPresent(JsonNode source, ObjectNode target, String field) { + if (source.hasNonNull(field)) { + target.set(field, source.get(field).deepCopy()); + } + } +} diff --git a/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.java b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.java index 83128a21..76ad2255 100644 --- a/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.java +++ b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.java @@ -174,7 +174,7 @@ private static void tagOpenAIRequest( span.updateName(getSpanName(providerName, pathSegments)); span.setAttribute("braintrust.span_attributes", toJson(Map.of("type", "llm"))); - Map metadata = new HashMap<>(); + Map metadata = new HashMap<>(); metadata.put("provider", providerName); metadata.put("request_path", String.join("/", pathSegments)); metadata.put("request_base_uri", baseUrl); @@ -185,6 +185,7 @@ private static void tagOpenAIRequest( if (requestJson.has("model")) { metadata.put("model", requestJson.get("model").asText()); } + putGenerationParameters(metadata, requestJson); // Chat completions API uses "messages"; Responses API uses "input" if (requestJson.has("messages")) { span.setAttribute("braintrust.input_json", toJson(requestJson.get("messages"))); @@ -432,7 +433,7 @@ private static void tagAnthropicRequest( span.updateName(getSpanName(providerName, pathSegments)); span.setAttribute("braintrust.span_attributes", toJson(Map.of("type", "llm"))); - Map metadata = new HashMap<>(); + Map metadata = new HashMap<>(); metadata.put("provider", providerName); metadata.put("request_path", String.join("/", pathSegments)); metadata.put("request_base_uri", baseUrl); @@ -448,6 +449,7 @@ private static void tagAnthropicRequest( if (requestJson.has("model")) { metadata.put("model", requestJson.get("model").asText()); } + putGenerationParameters(metadata, requestJson); // Build input array: messages + system (as a synthetic system-role entry) if (requestJson.has("messages")) { ArrayNode inputArray = BraintrustJsonMapper.get().createArrayNode(); @@ -455,13 +457,12 @@ private static void tagAnthropicRequest( for (JsonNode msg : requestJson.get("messages")) { inputArray.add(simplifyAnthropicMessage(msg)); } - // Append system prompt as a {role:"system", content:"..."} entry if present - if (requestJson.has("system") - && !requestJson.get("system").isNull() - && !requestJson.get("system").asText().isEmpty()) { + // Append system prompt as a {role:"system", content:...} entry if present + JsonNode system = requestJson.get("system"); + if (hasAnthropicSystemPrompt(system)) { var systemNode = BraintrustJsonMapper.get().createObjectNode(); systemNode.put("role", "system"); - systemNode.set("content", requestJson.get("system")); + systemNode.set("content", system); inputArray.add(systemNode); } span.setAttribute("braintrust.input_json", toJson(inputArray)); @@ -471,6 +472,21 @@ private static void tagAnthropicRequest( span.setAttribute("braintrust.metadata", toJson(metadata)); } + /** + * Whether an Anthropic request's {@code system} field actually carries a prompt. + * + *

{@code system} takes two shapes: a plain string, or an array of content blocks (the form + * required to attach {@code cache_control} for prompt caching). Emptiness has to be tested per + * shape — {@link JsonNode#asText()} returns {@code ""} for any container node, so a bare {@code + * asText().isEmpty()} check reads every array-form system prompt as absent and drops it. + */ + private static boolean hasAnthropicSystemPrompt(@Nullable JsonNode system) { + if (system == null || system.isNull()) { + return false; + } + return system.isContainerNode() ? !system.isEmpty() : !system.asText().isEmpty(); + } + @SneakyThrows private static void tagAnthropicResponse( Span span, @@ -487,30 +503,35 @@ private static void tagAnthropicResponse( if (responseJson.has("usage")) { JsonNode usage = responseJson.get("usage"); - if (usage.has("input_tokens")) metrics.put("prompt_tokens", usage.get("input_tokens")); - if (usage.has("output_tokens")) - metrics.put("completion_tokens", usage.get("output_tokens")); - if (usage.has("input_tokens") && usage.has("output_tokens")) { - metrics.put( - "tokens", - usage.get("input_tokens").asLong() + usage.get("output_tokens").asLong()); - } - // Prompt caching metrics + // Prompt caching. These are emitted first because prompt_tokens depends on them: + // Anthropic reports input_tokens *exclusive* of cache reads and writes, whereas + // Braintrust's prompt_tokens is the inclusive total that the cost pipeline prices and + // from which prompt_uncached_tokens is derived. if (usage.has("cache_read_input_tokens")) { metrics.put("prompt_cached_tokens", usage.get("cache_read_input_tokens")); } - if (usage.has("cache_creation_input_tokens")) { - long cacheCreationTokens = usage.get("cache_creation_input_tokens").asLong(); - - // Per-TTL breakdown from usage.cache_creation (e.g. - // ephemeral_5m_input_tokens, ephemeral_1h_input_tokens). - // When per-TTL metrics are emitted, the aggregate metric is omitted. - boolean emittedPerTtl = addPerTtlCacheMetrics(metrics, usage); - if (!emittedPerTtl) { - metrics.put("prompt_cache_creation_tokens", cacheCreationTokens); + long cacheReadTokens = + usage.has("cache_read_input_tokens") + ? usage.get("cache_read_input_tokens").asLong() + : 0L; + long cacheCreationTokens = addCacheCreationMetrics(metrics, usage); + + // Roll the cache counts back into the canonical totals. Without this a cached call + // reports only the uncached remainder as prompt_tokens — e.g. 12 instead of 1377 — + // which both understates cost and makes the cache metrics larger than the total they + // are meant to be a subset of. + if (usage.has("input_tokens")) { + long promptTokens = + usage.get("input_tokens").asLong() + cacheReadTokens + cacheCreationTokens; + metrics.put("prompt_tokens", promptTokens); + if (usage.has("output_tokens")) { + metrics.put("tokens", promptTokens + usage.get("output_tokens").asLong()); } } + if (usage.has("output_tokens")) { + metrics.put("completion_tokens", usage.get("output_tokens")); + } // Server-side tool usage counts (e.g. web_search_requests, web_fetch_requests). // Each numeric field becomes a server_tool_use_ metric the backend prices — @@ -541,26 +562,41 @@ private static void tagAnthropicResponse( "ephemeral_1h_input_tokens", "prompt_cache_creation_1h_tokens"); /** - * Extract per-TTL cache creation metrics from the Anthropic {@code usage.cache_creation} - * response object. Fields like {@code ephemeral_5m_input_tokens} are mapped to {@code - * prompt_cache_creation_5m_tokens}. + * Emits the Anthropic cache-creation metrics and returns the number of tokens they describe. * - * @return {@code true} if at least one per-TTL metric was emitted + *

Anthropic reports the same cache-creation tokens two ways: the flat {@code + * cache_creation_input_tokens} aggregate, and — on SDKs tracking the 2024-10-22 Messages API + * revision or newer — a per-TTL breakdown under {@code usage.cache_creation}. They are + * alternative representations of one number rather than separate token classes, so exactly one + * is emitted (Anthropic spans must carry a single representation), preferring the breakdown + * when it is available. The returned count is that number either way, so callers can fold it + * into {@code prompt_tokens} without double-counting. + * + * @return the cache-creation token count, or 0 when the response reports none */ - private static boolean addPerTtlCacheMetrics(Map metrics, JsonNode usage) { - if (!usage.has("cache_creation")) { - return false; - } + private static long addCacheCreationMetrics(Map metrics, JsonNode usage) { JsonNode cacheCreation = usage.get("cache_creation"); - boolean emitted = false; - for (Map.Entry entry : CACHE_CREATION_FIELD_TO_METRIC.entrySet()) { - if (cacheCreation.has(entry.getKey())) { - long tokens = cacheCreation.get(entry.getKey()).asLong(); - metrics.put(entry.getValue(), tokens); - emitted = true; + if (cacheCreation != null && cacheCreation.isObject()) { + long perTtlSum = 0; + boolean emittedPerTtl = false; + for (Map.Entry entry : CACHE_CREATION_FIELD_TO_METRIC.entrySet()) { + if (cacheCreation.has(entry.getKey())) { + long tokens = cacheCreation.get(entry.getKey()).asLong(); + metrics.put(entry.getValue(), tokens); + perTtlSum += tokens; + emittedPerTtl = true; + } } + if (emittedPerTtl) { + return perTtlSum; + } + } + if (usage.has("cache_creation_input_tokens")) { + long aggregate = usage.get("cache_creation_input_tokens").asLong(); + metrics.put("prompt_cache_creation_tokens", aggregate); + return aggregate; } - return emitted; + return 0L; } private static final String ANTHROPIC_SERVER_TOOL_USE_TYPE = "server_tool_use"; @@ -862,6 +898,19 @@ private static void tagBedrockRequest( if (cfg.has("stopSequences")) metadata.put("stop_sequences", cfg.get("stopSequences")); } + // Tool definitions and tool-choice policy. Flattened out of toolConfig and renamed to + // the cross-provider keys (as inferenceConfig is above), so a Bedrock span's tools read + // the same as an OpenAI or Anthropic one. Entries keep their Bedrock + // {"toolSpec": {...}} shape — this is what the caller actually sent. + if (requestJson.has("toolConfig")) { + JsonNode toolConfig = requestJson.get("toolConfig"); + if (toolConfig.has("tools")) { + metadata.put("tools", toolConfig.get("tools")); + } + if (toolConfig.has("toolChoice")) { + metadata.put("tool_choice", toolConfig.get("toolChoice")); + } + } // Bedrock Converse uses "messages" with typed content block arrays like // [{"text":"..."}] if (requestJson.has("messages")) { @@ -906,7 +955,35 @@ private static void tagBedrockResponse( // Bedrock usage uses camelCase: inputTokens, outputTokens, totalTokens if (responseJson.has("usage")) { JsonNode usage = responseJson.get("usage"); - if (usage.has("inputTokens")) metrics.put("prompt_tokens", usage.get("inputTokens")); + + // Prompt caching, named to match the Anthropic and OpenAI cache metrics above so + // hit-rate and cost analysis works across providers. Emitted before the totals + // because prompt_tokens is derived from them. + // + // usage.cacheDetails (per-checkpoint {inputTokens, ttl} entries) is deliberately not + // mapped: a metric has to be a single number, and AWS does not document whether those + // entries describe reads or writes — so there is no TTL-suffixed metric it can be + // placed under without guessing. The two aggregates below are unambiguous. + if (usage.has("cacheReadInputTokens")) { + metrics.put("prompt_cached_tokens", usage.get("cacheReadInputTokens")); + } + if (usage.has("cacheWriteInputTokens")) { + metrics.put("prompt_cache_creation_tokens", usage.get("cacheWriteInputTokens")); + } + long cacheReadTokens = longOrZero(usage, "cacheReadInputTokens"); + long cacheWriteTokens = longOrZero(usage, "cacheWriteInputTokens"); + + // Bedrock reports inputTokens *exclusive* of cache reads and writes while folding both + // into totalTokens, so the cache counts have to be rolled back into prompt_tokens. + // Verified against a recorded cachePoint call: inputTokens(12) + cacheWrite(1175) + + // outputTokens(5) == totalTokens(1192), and the same held for the cache-read turn. + // Because totalTokens already accounts for them, it is preserved as-is rather than + // recomputed — which also makes the provider's own total a cross-check on this sum. + if (usage.has("inputTokens")) { + metrics.put( + "prompt_tokens", + usage.get("inputTokens").asLong() + cacheReadTokens + cacheWriteTokens); + } if (usage.has("outputTokens")) metrics.put("completion_tokens", usage.get("outputTokens")); if (usage.has("totalTokens")) metrics.put("tokens", usage.get("totalTokens")); @@ -940,6 +1017,58 @@ private static JsonNode maybeParseJsonString(JsonNode value) { } } + /** + * Request fields that are conversation content, not generation parameters. Each is already + * captured as the span's input, so copying it into metadata would duplicate a potentially large + * payload. {@code instructions} (the Responses API's system prompt) belongs in the span input + * too — tracked separately — so it is withheld here rather than landing in metadata. + * + *

The list spans every endpoint reachable through a wrapped client, not just chat: {@code + * prompt} carries the user's text on legacy OpenAI completions, Anthropic's legacy {@code + * /v1/complete}, and image generation, while {@code requests} nests entire per-request message + * payloads on the Message Batches API. + * + *

{@code prompt} additionally must never be copied through: {@code metadata.prompt} is + * reserved for Braintrust prompt provenance ({@code id}/{@code project_id}/{@code version}/ + * {@code variables}), which user-supplied data must not overwrite. + */ + private static final Set CONTENT_REQUEST_FIELDS = + Set.of("messages", "input", "system", "instructions", "prompt", "requests"); + + /** + * Copies a request's generation parameters — {@code temperature}, {@code max_tokens}, {@code + * tools}, {@code response_format}, Anthropic's {@code thinking}, and so on — into span + * metadata. + * + *

Deliberately a denylist rather than an allowlist: OpenAI and Anthropic already name these + * fields in snake_case, so nothing needs renaming, and a parameter added by a future API + * version shows up in traces without a change here. Only {@link #CONTENT_REQUEST_FIELDS} are + * withheld. + * + *

Uses {@code putIfAbsent} so the keys the caller already set — {@code provider}, {@code + * model}, and the {@code request_*} routing fields — always win over a same-named body field. + */ + private static void putGenerationParameters( + Map metadata, JsonNode requestJson) { + if (!requestJson.isObject()) { + return; + } + var fields = requestJson.fields(); + while (fields.hasNext()) { + var entry = fields.next(); + if (CONTENT_REQUEST_FIELDS.contains(entry.getKey()) || entry.getValue().isNull()) { + continue; + } + metadata.putIfAbsent(entry.getKey(), entry.getValue()); + } + } + + /** Returns {@code node[field]} as a long, or 0 when absent or not numeric. */ + private static long longOrZero(JsonNode node, String field) { + JsonNode value = node.get(field); + return value != null && value.isNumber() ? value.asLong() : 0L; + } + private static void putIfPresent(ObjectNode target, String key, JsonNode value) { if (value != null && !value.isNull()) { target.set(key, value); @@ -1011,6 +1140,13 @@ private static JsonNode normalizeBedrockMessage(JsonNode msg) { } else if (block.has("image")) { normalized.put("type", "image"); changed = true; + } else if (block.has("reasoningContent")) { + // Extended thinking (Claude 3.7+ / Nova reasoning models). Mapped to + // Anthropic's block-type name for the same reason toolUse maps to "tool_use": + // the schemas the UI validates against are OpenAI's and Anthropic's, so a + // Bedrock-native name like "reasoning_content" would satisfy neither. + normalized.put("type", "thinking"); + changed = true; } normalizedContent.add(normalized); } else { diff --git a/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/SseStreamAccumulator.java b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/SseStreamAccumulator.java index eb5af531..aeffedbb 100644 --- a/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/SseStreamAccumulator.java +++ b/braintrust-sdk/src/main/java/dev/braintrust/instrumentation/SseStreamAccumulator.java @@ -6,6 +6,7 @@ import com.fasterxml.jackson.databind.node.ObjectNode; import java.util.LinkedHashMap; import java.util.Map; +import java.util.Set; import javax.annotation.Nullable; import javax.annotation.concurrent.NotThreadSafe; import lombok.SneakyThrows; @@ -33,6 +34,12 @@ public final class SseStreamAccumulator { private static final String RESPONSES_EVENT_PREFIX = "response."; + /** SSE {@code event:} name used for an in-band failure frame. */ + private static final String FAILURE_EVENT_NAME = "error"; + + private static final Set FAILURE_EVENT_TYPES = + Set.of("error", "response.failed", "response.error"); + private final ObjectMapper jsonMapper; private final SseResponseAccumulator chatCompletions; // Latest complete snapshot of the response object, from the most recent event that carried one. @@ -100,6 +107,150 @@ public String build() { return jsonMapper.writeValueAsString(root); } + /** What an SSE {@code data:} payload turned out to be, for first-token timing. */ + public enum PayloadKind { + /** Carries generated model output: a token, tool arguments, reasoning, or a new item. */ + OUTPUT, + /** A shape this class understands, but one that carries no generated output yet. */ + NO_OUTPUT, + /** A shape this class does not understand, so nothing can be concluded about it. */ + UNRECOGNIZED + } + + /** + * Classify one SSE {@code data:} payload for the purpose of timing first-token latency. + * + *

Timing the first payload of any kind measures time-to-response-metadata rather + * than time-to-first-token: a Responses stream opens with {@code response.created} and {@code + * response.in_progress} before the model has produced anything, and for a reasoning model + * generation can begin seconds later. A chat-completions stream likewise opens with a chunk + * whose delta carries only the assistant role and an empty content string. Both are {@link + * PayloadKind#NO_OUTPUT}. + * + *

The three-way result matters: a caller must be able to tell "recognized, but nothing + * generated" from "shape I don't understand". Only the latter justifies falling back to the + * first payload's timestamp — for the former, the honest answer is that there was no first + * token, so no metric should be reported at all. + */ + public static PayloadKind classify(ObjectMapper jsonMapper, @Nullable String jsonChunk) { + if (jsonChunk == null) { + return PayloadKind.UNRECOGNIZED; + } + String data = jsonChunk.strip(); + if (data.isEmpty() || "[DONE]".equals(data)) { + return PayloadKind.UNRECOGNIZED; + } + JsonNode chunk; + try { + chunk = jsonMapper.readTree(data); + } catch (JsonProcessingException e) { + return PayloadKind.UNRECOGNIZED; + } + if (chunk == null || !chunk.isObject()) { + return PayloadKind.UNRECOGNIZED; + } + + JsonNode type = chunk.get("type"); + if (type != null && type.isTextual()) { + // Responses API. Deltas carry generated text, tool arguments, or reasoning; the item + // and content-part ".added" events mark the moment an output item starts being + // produced. Everything else on the stream is lifecycle or terminal bookkeeping. + String eventType = type.asText(); + return eventType.endsWith(".delta") || eventType.endsWith(".added") + ? PayloadKind.OUTPUT + : PayloadKind.NO_OUTPUT; + } + + // Chat completions. Require a field that actually holds generated content: the opening + // chunk's delta is {"role":"assistant","content":""}, which is not yet a token. + JsonNode choices = chunk.get("choices"); + if (choices == null || !choices.isArray()) { + return PayloadKind.UNRECOGNIZED; + } + for (JsonNode choice : choices) { + JsonNode delta = choice.path("delta"); + JsonNode content = delta.get("content"); + if (content != null && content.isTextual() && !content.asText().isEmpty()) { + return PayloadKind.OUTPUT; + } + if (delta.hasNonNull("tool_calls") + || delta.hasNonNull("function_call") + || delta.hasNonNull("refusal") + || delta.hasNonNull("reasoning_content") + || delta.hasNonNull("reasoning")) { + return PayloadKind.OUTPUT; + } + } + return PayloadKind.NO_OUTPUT; + } + + /** + * The failure an SSE payload reports, or {@code null} when the payload reports none. + * + *

A stream can fail in band, after the HTTP request has already succeeded: the + * Responses API sends {@code response.failed} or a bare {@code error} event, and Chat + * Completions sends a frame named {@code error}. In both cases the transport then closes + * normally, so a caller that only treats transport exceptions as errors finalizes a failed + * generation as a successful span. Callers should retain the first non-null result and set the + * span status from it. + * + *

{@code response.incomplete} is deliberately not a failure: it reports a response + * truncated by a token limit or content filter, which still carries usable output. + * + * @param eventName the SSE {@code event:} name, if the transport exposes one + * @param data the SSE {@code data:} payload + */ + @Nullable + public static String streamFailure( + ObjectMapper jsonMapper, @Nullable String eventName, @Nullable String data) { + boolean namedError = FAILURE_EVENT_NAME.equals(eventName); + String payload = data == null ? "" : data.strip(); + if (payload.isEmpty() || "[DONE]".equals(payload)) { + return namedError ? "stream reported an error with no detail" : null; + } + + JsonNode chunk = null; + try { + chunk = jsonMapper.readTree(payload); + } catch (JsonProcessingException e) { + // An unparseable payload is still a failure when the event says so. + log.debug("Failed to parse SSE chunk: {}", payload, e); + } + if (chunk == null || !chunk.isObject()) { + return namedError ? payload : null; + } + + JsonNode type = chunk.get("type"); + String eventType = type != null && type.isTextual() ? type.asText() : ""; + boolean failed = + namedError + || FAILURE_EVENT_TYPES.contains(eventType) + // A frame carrying an error and no event type at all: a provider error + // injected into a chat-completions stream. + || (eventType.isEmpty() && chunk.hasNonNull("error")); + return failed ? failureMessage(chunk, payload) : null; + } + + private static String failureMessage(JsonNode chunk, String rawPayload) { + JsonNode error = chunk.get("error"); + if (error == null || error.isNull()) { + error = chunk.path("response").get("error"); + } + if (error != null && !error.isNull()) { + JsonNode message = error.get("message"); + if (message != null && message.isTextual() && !message.asText().isEmpty()) { + return message.asText(); + } + return error.isValueNode() ? error.asText() : error.toString(); + } + // The Responses `error` event carries its message at the top level, not nested. + JsonNode message = chunk.get("message"); + if (message != null && message.isTextual() && !message.asText().isEmpty()) { + return message.asText(); + } + return rawPayload; + } + private static boolean isResponsesEvent(JsonNode chunk) { JsonNode type = chunk.get("type"); return type != null && type.isTextual() && type.asText().startsWith(RESPONSES_EVENT_PREFIX); diff --git a/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/ConverseStreamAccumulatorTest.java b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/ConverseStreamAccumulatorTest.java new file mode 100644 index 00000000..12ebda83 --- /dev/null +++ b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/ConverseStreamAccumulatorTest.java @@ -0,0 +1,278 @@ +package dev.braintrust.instrumentation; + +import static org.junit.jupiter.api.Assertions.*; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import java.util.List; +import lombok.SneakyThrows; +import org.junit.jupiter.api.Test; + +/** + * Hermetic tests for Bedrock {@code ConverseStream} reassembly. The streaming path previously + * accumulated only {@code delta.text} and emitted a single synthetic text block, so a streamed tool + * call or reasoning block reached the span as empty text. These assert the real content-block + * shapes survive, without needing AWS credentials or a recorded cassette. + */ +class ConverseStreamAccumulatorTest { + + private static final ObjectMapper JSON = new ObjectMapper(); + + /** A single {@code (eventType, payload)} event-stream frame. */ + private record Frame(String type, String payload) {} + + private static Frame frame(String type, String payload) { + return new Frame(type, payload); + } + + @SneakyThrows + private static JsonNode reassemble(Frame... frames) { + var acc = new ConverseStreamAccumulator(JSON); + for (Frame f : frames) { + acc.accept(f.type(), f.payload()); + } + return JSON.readTree(acc.build()); + } + + private static JsonNode content(JsonNode response) { + return response.path("output").path("message").path("content"); + } + + /** + * The shape the {@code bedrock/converse_stream} cross-SDK spec pins: one text block under + * {@code output.message.content}. Guards the common path against regression from the rewrite. + */ + @Test + void plainTextStreamProducesSingleTextBlock() { + JsonNode response = + reassemble( + frame("messageStart", "{\"role\":\"assistant\"}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"text\":\"Par\"}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"text\":\"is\"}}"), + frame("contentBlockStop", "{\"contentBlockIndex\":0}"), + frame("messageStop", "{\"stopReason\":\"end_turn\"}"), + frame( + "metadata", + "{\"usage\":{\"inputTokens\":12,\"outputTokens\":3,\"totalTokens\":15}}")); + + assertEquals("assistant", response.path("output").path("message").path("role").asText()); + assertEquals(1, content(response).size()); + assertEquals("Paris", content(response).get(0).path("text").asText()); + assertEquals("end_turn", response.path("stopReason").asText()); + assertEquals(15, response.path("usage").path("totalTokens").asInt()); + } + + /** + * The #85 regression: {@code contentBlockStart} carries the tool's id and name (no later delta + * repeats them) and {@code delta.toolUse.input} streams the arguments as JSON fragments. + */ + @Test + void toolUseStreamPreservesIdNameAndParsedInput() { + JsonNode response = + reassemble( + frame( + "contentBlockStart", + "{\"contentBlockIndex\":0,\"start\":{\"toolUse\":" + + "{\"toolUseId\":\"tu_1\",\"name\":\"get_weather\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"toolUse\":" + + "{\"input\":\"{\\\"city\\\":\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"toolUse\":" + + "{\"input\":\"\\\"sf\\\"}\"}}}"), + frame("messageStop", "{\"stopReason\":\"tool_use\"}")); + + assertEquals(1, content(response).size()); + JsonNode toolUse = content(response).get(0).path("toolUse"); + assertEquals("tu_1", toolUse.path("toolUseId").asText()); + assertEquals("get_weather", toolUse.path("name").asText()); + assertTrue(toolUse.path("input").isObject(), "fragments should parse back into an object"); + assertEquals("sf", toolUse.path("input").path("city").asText()); + assertEquals("tool_use", response.path("stopReason").asText()); + } + + /** Text and a tool call in one message must both survive, in content-block index order. */ + @Test + void textAndToolUseBlocksBothSurviveInIndexOrder() { + JsonNode response = + reassemble( + // Deliberately fed out of order to prove ordering is by index, not arrival. + frame( + "contentBlockStart", + "{\"contentBlockIndex\":1,\"start\":{\"toolUse\":" + + "{\"toolUseId\":\"tu_2\",\"name\":\"lookup\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"text\":\"checking\"}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":1,\"delta\":{\"toolUse\":{\"input\":\"{}\"}}}")); + + assertEquals(2, content(response).size()); + assertEquals("checking", content(response).get(0).path("text").asText()); + assertEquals("lookup", content(response).get(1).path("toolUse").path("name").asText()); + } + + /** + * Reasoning deltas arrive flat but a synchronous response nests them under {@code + * reasoningText}; the accumulator rebuilds the nested shape so both paths normalize alike. + */ + @Test + void reasoningStreamRebuildsNestedReasoningTextShape() { + JsonNode response = + reassemble( + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"reasoningContent\":" + + "{\"text\":\"Let me \"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"reasoningContent\":" + + "{\"text\":\"think.\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"reasoningContent\":" + + "{\"signature\":\"sig123\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":1,\"delta\":{\"text\":\"Paris\"}}")); + + assertEquals(2, content(response).size()); + JsonNode reasoningText = + content(response).get(0).path("reasoningContent").path("reasoningText"); + assertEquals("Let me think.", reasoningText.path("text").asText()); + assertEquals("sig123", reasoningText.path("signature").asText()); + assertEquals("Paris", content(response).get(1).path("text").asText()); + } + + /** {@code redactedContent} is a sibling of {@code reasoningText}, not nested inside it. */ + @Test + void redactedReasoningStaysSiblingOfReasoningText() { + JsonNode response = + reassemble( + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"reasoningContent\":" + + "{\"redactedContent\":\"YmFzZTY0\"}}}")); + + JsonNode reasoningContent = content(response).get(0).path("reasoningContent"); + assertEquals("YmFzZTY0", reasoningContent.path("redactedContent").asText()); + assertTrue(reasoningContent.path("reasoningText").isMissingNode()); + } + + /** Tool arguments truncated mid-stream are surfaced as a string rather than dropped. */ + @Test + void unparseableToolInputIsKeptAsString() { + JsonNode response = + reassemble( + frame( + "contentBlockStart", + "{\"contentBlockIndex\":0,\"start\":{\"toolUse\":" + + "{\"toolUseId\":\"tu_3\",\"name\":\"f\"}}}"), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"toolUse\":" + + "{\"input\":\"{\\\"a\\\":\"}}}")); + + JsonNode input = content(response).get(0).path("toolUse").path("input"); + assertTrue(input.isTextual(), "truncated fragments should survive as a string"); + assertEquals("{\"a\":", input.asText()); + } + + /** A tool call whose start frame was missed still keeps its arguments. */ + @Test + void toolUseDeltaWithoutStartFrameStillKeepsInput() { + JsonNode response = + reassemble( + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"toolUse\":" + + "{\"input\":\"{\\\"x\\\":1}\"}}}")); + + JsonNode toolUse = content(response).get(0).path("toolUse"); + assertEquals(1, toolUse.path("input").path("x").asInt()); + assertTrue(toolUse.path("name").isMissingNode()); + } + + @Test + void malformedAndUnknownFramesAreIgnored() { + JsonNode response = + reassemble( + frame("contentBlockDelta", "not json at all"), + frame("contentBlockDelta", "[1,2,3]"), + frame("somethingNewInAFutureApiVersion", "{\"whatever\":true}"), + frame(null, "{\"text\":\"x\"}"), + frame("contentBlockDelta", null), + frame( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"text\":\"ok\"}}")); + + assertEquals(1, content(response).size()); + assertEquals("ok", content(response).get(0).path("text").asText()); + } + + /** An empty stream yields a well-formed body with no content, not a fabricated text block. */ + @Test + void emptyStreamProducesNoContentBlocks() { + JsonNode response = reassemble(); + assertTrue(content(response).isArray()); + assertEquals(0, content(response).size()); + assertTrue(response.path("usage").isMissingNode(), "usage must not be fabricated"); + } + + /** + * End-to-end: the reassembled body goes through the real Bedrock response tagger, which must + * annotate every block with the {@code type} the UI schema requires — including {@code + * reasoningContent}, the gap issue #150 describes. + */ + @Test + @SneakyThrows + void taggedStreamingOutputCarriesTypeOnEveryBlockShape() { + var acc = new ConverseStreamAccumulator(JSON); + acc.accept( + "contentBlockDelta", + "{\"contentBlockIndex\":0,\"delta\":{\"reasoningContent\":{\"text\":\"hmm\"}}}"); + acc.accept("contentBlockDelta", "{\"contentBlockIndex\":1,\"delta\":{\"text\":\"hi\"}}"); + acc.accept( + "contentBlockStart", + "{\"contentBlockIndex\":2,\"start\":{\"toolUse\":{\"toolUseId\":\"t\",\"name\":\"f\"}}}"); + acc.accept( + "contentBlockDelta", + "{\"contentBlockIndex\":2,\"delta\":{\"toolUse\":{\"input\":\"{}\"}}}"); + + var exporter = io.opentelemetry.sdk.testing.exporter.InMemorySpanExporter.create(); + try (var tracerProvider = + io.opentelemetry.sdk.trace.SdkTracerProvider.builder() + .addSpanProcessor( + io.opentelemetry.sdk.trace.export.SimpleSpanProcessor.create( + exporter)) + .build()) { + var tracer = tracerProvider.get("test"); + var span = tracer.spanBuilder("llm").startSpan(); + InstrumentationSemConv.tagLLMSpanResponse( + tracer, span, InstrumentationSemConv.PROVIDER_NAME_BEDROCK, acc.build(), null); + span.end(); + + String outputJson = + exporter.getFinishedSpanItems() + .get(0) + .getAttributes() + .get( + io.opentelemetry.api.common.AttributeKey.stringKey( + "braintrust.output_json")); + JsonNode blocks = JSON.readTree(outputJson).get(0).path("content"); + assertEquals( + List.of("thinking", "text", "tool_use"), + List.of( + blocks.get(0).path("type").asText(), + blocks.get(1).path("type").asText(), + blocks.get(2).path("type").asText())); + } + } +} diff --git a/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/InstrumentationSemConvTest.java b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/InstrumentationSemConvTest.java index 3649d7c9..11863674 100644 --- a/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/InstrumentationSemConvTest.java +++ b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/InstrumentationSemConvTest.java @@ -31,6 +31,8 @@ class InstrumentationSemConvTest { AttributeKey.stringKey("braintrust.output_json"); private static final AttributeKey METADATA = AttributeKey.stringKey("braintrust.metadata"); + private static final AttributeKey METRICS = + AttributeKey.stringKey("braintrust.metrics"); private InMemorySpanExporter exporter; private SdkTracerProvider tracerProvider; @@ -382,4 +384,504 @@ void clientToolUseAndPlainTextEmitNothing() { """; assertTrue(emitAnthropic(body).isEmpty()); } + + /** + * Tags a request span for {@code provider} and returns the resulting {@code + * braintrust.input_json} attribute (null when none was set). + */ + private String inputJsonForRequest(String provider, String requestBody) { + Span span = tracer.spanBuilder("llm").startSpan(); + InstrumentationSemConv.tagLLMSpanRequest( + span, + provider, + "https://api.anthropic.com", + List.of("v1", "messages"), + "POST", + requestBody); + span.end(); + return exporter.getFinishedSpanItems().get(0).getAttributes().get(INPUT_JSON); + } + + @Test + void anthropicStringSystemPromptBecomesSystemRoleEntry() { + String body = + """ + { + "model": "claude-sonnet-4-5", + "system": "be terse", + "messages": [{"role": "user", "content": "hi"}] + } + """; + + JsonNode input = + json(inputJsonForRequest(InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, body)); + assertEquals(2, input.size()); + assertEquals("system", input.get(1).path("role").asText()); + assertEquals("be terse", input.get(1).path("content").asText()); + } + + /** + * Array-form {@code system} — the shape required to attach {@code cache_control} — must survive + * intact. It previously tripped an {@code asText().isEmpty()} guard (containers stringify to + * {@code ""}) and was dropped from the span input entirely. + */ + @Test + void anthropicArraySystemPromptIsPreservedWithCacheControl() { + String body = + """ + { + "model": "claude-sonnet-4-5", + "system": [ + {"type": "text", "text": "you are a helpful assistant"}, + {"type": "text", "text": "", "cache_control": {"type": "ephemeral"}} + ], + "messages": [{"role": "user", "content": "hi"}] + } + """; + + JsonNode input = + json(inputJsonForRequest(InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, body)); + assertEquals(2, input.size()); + JsonNode system = input.get(1); + assertEquals("system", system.path("role").asText()); + JsonNode content = system.path("content"); + assertTrue(content.isArray(), "array-form system prompt should stay an array"); + assertEquals(2, content.size()); + assertEquals("you are a helpful assistant", content.get(0).path("text").asText()); + assertEquals("ephemeral", content.get(1).path("cache_control").path("type").asText()); + } + + @Test + void anthropicAbsentOrEmptySystemPromptAddsNoEntry() { + String noSystem = + """ + {"model": "claude-sonnet-4-5", "messages": [{"role": "user", "content": "hi"}]} + """; + assertEquals( + 1, + json(inputJsonForRequest(InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, noSystem)) + .size()); + + // An empty string, empty array, or explicit null carries no prompt. + for (String system : List.of("\"\"", "[]", "null")) { + String body = + "{\"model\": \"claude-sonnet-4-5\", \"system\": " + + system + + ", \"messages\": [{\"role\": \"user\", \"content\": \"hi\"}]}"; + exporter.reset(); + assertEquals( + 1, + json(inputJsonForRequest(InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, body)) + .size(), + "system=" + system + " should not add an entry"); + } + } + + /** + * Tags a Bedrock request span and returns its {@code braintrust.metadata} attribute. Bedrock + * passes the model explicitly (it lives in the URL, not the body). + */ + private String bedrockRequestMetadata(String requestBody) { + Span span = tracer.spanBuilder("llm").startSpan(); + InstrumentationSemConv.tagLLMSpanRequest( + span, + InstrumentationSemConv.PROVIDER_NAME_BEDROCK, + "https://bedrock-runtime.us-east-1.amazonaws.com", + List.of("model", "us.anthropic.claude-haiku-4-5-20251001-v1:0", "converse"), + "POST", + requestBody, + "us.anthropic.claude-haiku-4-5-20251001-v1:0"); + span.end(); + return exporter.getFinishedSpanItems().get(0).getAttributes().get(METADATA); + } + + /** Tags a Bedrock response span and returns its {@code braintrust.metrics} attribute. */ + private String bedrockResponseMetrics(String responseBody) { + Span span = tracer.spanBuilder("llm").startSpan(); + InstrumentationSemConv.tagLLMSpanResponse( + tracer, span, InstrumentationSemConv.PROVIDER_NAME_BEDROCK, responseBody, null); + span.end(); + return exporter.getFinishedSpanItems().get(0).getAttributes().get(METRICS); + } + + /** + * toolConfig carries the tools offered to the model and the tool-choice policy; both are + * flattened onto metadata under the cross-provider key names. + */ + @Test + void bedrockToolConfigIsFlattenedIntoMetadata() { + String body = + """ + { + "inferenceConfig": {"maxTokens": 500}, + "toolConfig": { + "tools": [ + {"toolSpec": { + "name": "get_weather", + "description": "Current weather", + "inputSchema": {"json": {"type": "object"}} + }} + ], + "toolChoice": {"auto": {}} + }, + "messages": [{"role": "user", "content": [{"text": "weather in Paris?"}]}] + } + """; + + JsonNode metadata = json(bedrockRequestMetadata(body)); + assertEquals(500, metadata.path("max_tokens").asInt(), "existing fields still captured"); + JsonNode tools = metadata.path("tools"); + assertTrue(tools.isArray(), "tools should be captured as an array"); + assertEquals(1, tools.size()); + // Bedrock's own toolSpec shape is preserved rather than rewritten. + assertEquals("get_weather", tools.get(0).path("toolSpec").path("name").asText()); + assertTrue(metadata.path("tool_choice").has("auto")); + } + + @Test + void bedrockRequestWithoutToolConfigOmitsToolKeys() { + String body = + """ + {"messages": [{"role": "user", "content": [{"text": "hi"}]}]} + """; + + JsonNode metadata = json(bedrockRequestMetadata(body)); + assertTrue(metadata.path("tools").isMissingNode()); + assertTrue(metadata.path("tool_choice").isMissingNode()); + assertEquals("bedrock", metadata.path("provider").asText()); + } + + /** + * Bedrock reports cache usage as cacheReadInputTokens / cacheWriteInputTokens; these must land + * on the same metric names the other providers use. + */ + @Test + void bedrockCacheTokensMapToCrossProviderMetricNames() { + // Shaped after a real recorded Converse response: inputTokens excludes the cache + // counts, while totalTokens includes them (1200 + 800 + 400 + 350 = 2750). + String body = + """ + { + "output": {"message": {"role": "assistant", "content": [{"text": "hi"}]}}, + "usage": { + "inputTokens": 1200, + "outputTokens": 350, + "totalTokens": 2750, + "cacheReadInputTokens": 800, + "cacheWriteInputTokens": 400, + "cacheDetails": [{"inputTokens": 800, "ttl": "5m"}] + } + } + """; + + JsonNode metrics = json(bedrockResponseMetrics(body)); + // prompt_tokens rolls the cache counts back in; tokens preserves the provider total. + assertEquals(2400, metrics.path("prompt_tokens").asInt()); + assertEquals(350, metrics.path("completion_tokens").asInt()); + assertEquals(2750, metrics.path("tokens").asInt()); + assertEquals(800, metrics.path("prompt_cached_tokens").asInt()); + assertEquals(400, metrics.path("prompt_cache_creation_tokens").asInt()); + // cacheDetails is an array — never emitted as a metric. + assertTrue(metrics.path("cacheDetails").isMissingNode()); + // The provider's own total cross-checks the roll-in. + assertEquals( + metrics.path("tokens").asInt(), + metrics.path("prompt_tokens").asInt() + metrics.path("completion_tokens").asInt(), + "tokens must equal prompt + completion once cache tokens are rolled in"); + } + + /** Without caching, prompt_tokens is just inputTokens — the roll-in adds nothing. */ + @Test + void bedrockPromptTokensUnchangedWhenNoCacheUsage() { + String body = + """ + { + "output": {"message": {"role": "assistant", "content": [{"text": "hi"}]}}, + "usage": {"inputTokens": 68, "outputTokens": 202, "totalTokens": 270} + } + """; + + JsonNode metrics = json(bedrockResponseMetrics(body)); + assertEquals(68, metrics.path("prompt_tokens").asInt()); + assertEquals(202, metrics.path("completion_tokens").asInt()); + assertEquals(270, metrics.path("tokens").asInt()); + } + + /** A cold cache reports zeros, which must still be emitted rather than skipped. */ + @Test + void bedrockZeroCacheTokensAreStillEmitted() { + String body = + """ + { + "output": {"message": {"role": "assistant", "content": [{"text": "hi"}]}}, + "usage": {"inputTokens": 10, "outputTokens": 2, "totalTokens": 12, + "cacheReadInputTokens": 0, "cacheWriteInputTokens": 0} + } + """; + + JsonNode metrics = json(bedrockResponseMetrics(body)); + // Assert presence explicitly: path(...).asInt() is 0 for a missing node too, so an + // equals-zero check alone would pass even if the metric were dropped. + assertTrue(metrics.has("prompt_cached_tokens"), "cold-cache read count should be emitted"); + assertTrue( + metrics.has("prompt_cache_creation_tokens"), + "cold-cache write count should be emitted"); + assertEquals(0, metrics.get("prompt_cached_tokens").asInt()); + assertEquals(0, metrics.get("prompt_cache_creation_tokens").asInt()); + } + + /** Without prompt caching the cache metrics are absent, not zero-filled. */ + @Test + void bedrockResponseWithoutCacheUsageOmitsCacheMetrics() { + String body = + """ + { + "output": {"message": {"role": "assistant", "content": [{"text": "hi"}]}}, + "usage": {"inputTokens": 10, "outputTokens": 2, "totalTokens": 12} + } + """; + + JsonNode metrics = json(bedrockResponseMetrics(body)); + assertEquals(10, metrics.path("prompt_tokens").asInt()); + assertTrue(metrics.path("prompt_cached_tokens").isMissingNode()); + assertTrue(metrics.path("prompt_cache_creation_tokens").isMissingNode()); + } + + /** Tags a request span for {@code provider} and returns its {@code braintrust.metadata}. */ + private String requestMetadata(String provider, String endpoint, String requestBody) { + Span span = tracer.spanBuilder("llm").startSpan(); + InstrumentationSemConv.tagLLMSpanRequest( + span, + provider, + "https://api.example.com", + List.of("v1", endpoint), + "POST", + requestBody); + span.end(); + return exporter.getFinishedSpanItems().get(0).getAttributes().get(METADATA); + } + + @Test + void openAiGenerationParametersLandInMetadata() { + String body = + """ + { + "model": "gpt-4o", + "temperature": 0.7, + "max_tokens": 500, + "top_p": 0.95, + "frequency_penalty": 0.1, + "presence_penalty": 0.2, + "stop": ["\\n\\n"], + "reasoning_effort": "high", + "response_format": {"type": "json_object"}, + "tools": [{"type": "function", "function": {"name": "get_weather"}}], + "messages": [{"role": "user", "content": "hi"}] + } + """; + + JsonNode metadata = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "chat/completions", + body)); + + assertEquals("gpt-4o", metadata.path("model").asText()); + assertEquals(0.7, metadata.path("temperature").asDouble()); + assertEquals(500, metadata.path("max_tokens").asInt()); + assertEquals(0.95, metadata.path("top_p").asDouble()); + assertEquals(0.1, metadata.path("frequency_penalty").asDouble()); + assertEquals(0.2, metadata.path("presence_penalty").asDouble()); + assertEquals("high", metadata.path("reasoning_effort").asText()); + assertEquals("json_object", metadata.path("response_format").path("type").asText()); + assertEquals( + "get_weather", + metadata.path("tools").get(0).path("function").path("name").asText()); + assertTrue(metadata.path("stop").isArray()); + } + + /** Anthropic's {@code thinking} config is the parameter most worth not losing. */ + @Test + void anthropicGenerationParametersIncludingThinkingLandInMetadata() { + String body = + """ + { + "model": "claude-sonnet-4-5", + "max_tokens": 4096, + "temperature": 1.0, + "top_k": 40, + "stop_sequences": ["END"], + "thinking": {"type": "enabled", "budget_tokens": 2048}, + "metadata": {"user_id": "u_1"}, + "messages": [{"role": "user", "content": "hi"}] + } + """; + + JsonNode metadata = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, "messages", body)); + + assertEquals(4096, metadata.path("max_tokens").asInt()); + assertEquals(1.0, metadata.path("temperature").asDouble()); + assertEquals(40, metadata.path("top_k").asInt()); + assertEquals("enabled", metadata.path("thinking").path("type").asText()); + assertEquals(2048, metadata.path("thinking").path("budget_tokens").asInt()); + assertEquals("u_1", metadata.path("metadata").path("user_id").asText()); + assertTrue(metadata.path("stop_sequences").isArray()); + } + + /** + * Conversation content must not be duplicated into metadata — it is already the span input, and + * copying it would double a potentially large payload. + */ + @Test + void contentFieldsAreNotCopiedIntoMetadata() { + String openAiBody = + """ + { + "model": "gpt-4o", + "instructions": "be terse", + "input": [{"role": "user", "content": "hi"}], + "temperature": 0.5 + } + """; + JsonNode openAi = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "responses", + openAiBody)); + assertTrue(openAi.path("input").isMissingNode(), "input is content, not a parameter"); + assertTrue( + openAi.path("instructions").isMissingNode(), + "instructions belongs in span input, not metadata"); + assertEquals(0.5, openAi.path("temperature").asDouble(), "params still captured"); + + exporter.reset(); + + String anthropicBody = + """ + { + "model": "claude-sonnet-4-5", + "system": [{"type": "text", "text": "be terse"}], + "messages": [{"role": "user", "content": "hi"}], + "max_tokens": 16 + } + """; + JsonNode anthropic = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, + "messages", + anthropicBody)); + assertTrue(anthropic.path("messages").isMissingNode()); + assertTrue(anthropic.path("system").isMissingNode()); + assertEquals(16, anthropic.path("max_tokens").asInt()); + } + + /** A body field cannot overwrite the routing metadata the tagger sets itself. */ + @Test + void bodyFieldsCannotClobberReservedMetadataKeys() { + String body = + """ + { + "model": "gpt-4o", + "provider": "not-openai", + "request_method": "TRACE", + "request_path": "/evil", + "messages": [{"role": "user", "content": "hi"}] + } + """; + + JsonNode metadata = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "chat/completions", + body)); + + assertEquals("openai", metadata.path("provider").asText()); + assertEquals("POST", metadata.path("request_method").asText()); + assertEquals("v1/chat/completions", metadata.path("request_path").asText()); + } + + /** Explicit nulls carry no information and are skipped rather than emitted as JSON null. */ + @Test + void nullValuedParametersAreSkipped() { + String body = + """ + {"model": "gpt-4o", "temperature": null, "max_tokens": 10, + "messages": [{"role": "user", "content": "hi"}]} + """; + + JsonNode metadata = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "chat/completions", + body)); + assertTrue(metadata.path("temperature").isMissingNode()); + assertEquals(10, metadata.path("max_tokens").asInt()); + } + + /** + * Legacy completions and image generation carry user content in {@code prompt}, and Message + * Batches nest whole request payloads under {@code requests}. Neither may be copied into + * metadata — and {@code metadata.prompt} is reserved for Braintrust prompt provenance, so a + * request field must never be able to occupy it. + */ + @Test + void promptAndBatchRequestsAreTreatedAsContentNotParameters() { + String legacyCompletion = + """ + {"model": "gpt-3.5-turbo-instruct", "prompt": "secret user text", + "max_tokens": 64, "temperature": 0.3} + """; + JsonNode completions = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "completions", + legacyCompletion)); + assertTrue( + completions.path("prompt").isMissingNode(), + "prompt is user content and shadows reserved provenance metadata"); + assertEquals(64, completions.path("max_tokens").asInt(), "params still captured"); + assertEquals(0.3, completions.path("temperature").asDouble()); + + exporter.reset(); + + String imageGeneration = + """ + {"model": "gpt-image-1", "prompt": "a cat wearing a hat", "size": "1024x1024"} + """; + JsonNode images = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_OPENAI, + "images/generations", + imageGeneration)); + assertTrue(images.path("prompt").isMissingNode()); + assertEquals("1024x1024", images.path("size").asText()); + + exporter.reset(); + + String batch = + """ + {"requests": [{"custom_id": "a", + "params": {"model": "claude-sonnet-4-5", "max_tokens": 8, + "messages": [{"role": "user", "content": "secret"}]}}]} + """; + JsonNode batches = + json( + requestMetadata( + InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC, + "messages/batches", + batch)); + assertTrue( + batches.path("requests").isMissingNode(), + "batch requests nest full message payloads"); + } } diff --git a/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/SseStreamAccumulatorTest.java b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/SseStreamAccumulatorTest.java index a7acc74a..fb1358e5 100644 --- a/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/SseStreamAccumulatorTest.java +++ b/braintrust-sdk/src/test/java/dev/braintrust/instrumentation/SseStreamAccumulatorTest.java @@ -230,4 +230,206 @@ void tagsSpanWithOutputMetricsAndToolChildSpansFromResponsesStream() { "server-side tool calls in the streamed output should emit child tool spans"); } } + + // --------------------------------------------------------------------- + // classify — drives time-to-first-token + // --------------------------------------------------------------------- + + private static boolean isOutput(String chunk) { + return SseStreamAccumulator.classify(JSON, chunk) + == SseStreamAccumulator.PayloadKind.OUTPUT; + } + + private static SseStreamAccumulator.PayloadKind kind(String chunk) { + return SseStreamAccumulator.classify(JSON, chunk); + } + + /** + * A Responses stream opens with lifecycle events before the model produces anything. Timing + * TTFT from these measures response setup, which for a reasoning model can precede the first + * real token by seconds. + */ + @Test + void responsesLifecycleEventsAreNotGeneratedOutput() { + assertFalse(isOutput("{\"type\":\"response.created\",\"response\":{\"id\":\"r1\"}}")); + assertFalse(isOutput("{\"type\":\"response.in_progress\",\"response\":{\"id\":\"r1\"}}")); + assertFalse(isOutput("{\"type\":\"response.queued\",\"response\":{\"id\":\"r1\"}}")); + } + + @Test + void responsesOutputEventsAreGeneratedOutput() { + assertTrue(isOutput("{\"type\":\"response.output_text.delta\",\"delta\":\"Par\"}")); + assertTrue( + isOutput("{\"type\":\"response.function_call_arguments.delta\",\"delta\":\"{\"}")); + assertTrue( + isOutput("{\"type\":\"response.reasoning_summary_text.delta\",\"delta\":\"h\"}")); + assertTrue( + isOutput( + "{\"type\":\"response.output_item.added\",\"output_index\":0,\"item\":{}}")); + assertTrue( + isOutput( + "{\"type\":\"response.content_part.added\",\"output_index\":0,\"part\":{}}")); + } + + /** The opening chat-completions chunk carries only the assistant role, not a token yet. */ + @Test + void chatCompletionsRoleOnlyChunkIsNotGeneratedOutput() { + assertFalse( + isOutput( + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"role\":\"assistant\",\"content\":\"\"}}]}")); + } + + @Test + void chatCompletionsContentAndToolCallChunksAreGeneratedOutput() { + assertTrue( + isOutput( + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"content\":\"Paris\"}}]}")); + assertTrue( + isOutput( + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"tool_calls\":[{\"index\":0,\"id\":\"t\"}]}}]}")); + assertTrue( + isOutput( + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"reasoning_content\":\"hmm\"}}]}")); + } + + private static String failure(String eventName, String data) { + return SseStreamAccumulator.streamFailure(JSON, eventName, data); + } + + /** + * The Responses API reports a failed generation with an ordinary event on an otherwise healthy + * stream. LangChain4j hands it to the caller's own handler and lets the transport close + * normally, so this is the only signal a span has that the call did not succeed. + */ + @Test + void responsesFailureEventsReportTheProviderMessage() { + assertEquals( + "The server had an error while processing your request.", + failure( + null, + "{\"type\":\"response.failed\",\"response\":{\"id\":\"r1\"," + + "\"status\":\"failed\",\"error\":{\"code\":\"server_error\"," + + "\"message\":\"The server had an error while processing your" + + " request.\"}}}")); + // The bare `error` event carries its message at the top level, not under "error". + assertEquals( + "Rate limit reached", + failure( + null, + "{\"type\":\"error\",\"code\":\"rate_limit_exceeded\"," + + "\"message\":\"Rate limit reached\",\"sequence_number\":7}")); + assertEquals( + "boom", + failure(null, "{\"type\":\"response.error\",\"error\":{\"message\":\"boom\"}}")); + } + + /** Chat Completions signals an in-stream failure with the SSE event name, not the payload. */ + @Test + void chatCompletionsErrorFrameIsAFailure() { + assertEquals( + "model overloaded", + failure( + "error", + "{\"error\":{\"message\":\"model" + + " overloaded\",\"type\":\"server_error\"}}")); + // An error payload with no event name and no event type is still a failure. + assertEquals( + "model overloaded", + failure( + null, + "{\"error\":{\"message\":\"model" + + " overloaded\",\"type\":\"server_error\"}}")); + } + + /** A named error event is a failure even when its payload is unusable. */ + @Test + void namedErrorEventWithoutAParseableMessageStillFails() { + assertEquals("upstream connect error", failure("error", "upstream connect error")); + assertEquals("stream reported an error with no detail", failure("error", "")); + assertEquals("stream reported an error with no detail", failure("error", null)); + assertEquals("stream reported an error with no detail", failure("error", "[DONE]")); + // Present but empty message: fall back to the error object rather than an empty status. + assertEquals( + "{\"code\":\"server_error\"}", + failure(null, "{\"type\":\"error\",\"error\":{\"code\":\"server_error\"}}")); + } + + /** + * {@code response.incomplete} reports a response truncated by a token limit or content filter. + * It still carries usable output, and langchain4j treats it as a completion, so it must not + * turn the span red. + */ + @Test + void healthyAndIncompleteEventsAreNotFailures() { + assertNull( + failure( + null, + "{\"type\":\"response.incomplete\",\"response\":{\"id\":\"r1\"," + + "\"status\":\"incomplete\",\"incomplete_details\":{\"reason\":\"max_output_tokens\"}}}")); + assertNull(failure(null, "{\"type\":\"response.created\",\"response\":{\"id\":\"r1\"}}")); + assertNull(failure(null, "{\"type\":\"response.output_text.delta\",\"delta\":\"hi\"}")); + // A terminal snapshot whose "error" is explicitly null is a success, not a failure. + assertNull( + failure( + null, + "{\"type\":\"response.completed\",\"response\":{\"id\":\"r1\"," + + "\"status\":\"completed\",\"error\":null}}")); + assertNull( + failure( + null, + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"content\":\"Paris\"}}]}")); + assertNull(failure(null, "[DONE]")); + assertNull(failure(null, null)); + assertNull(failure(null, "not json")); + } + + /** + * The distinction the TTFT fallback turns on. "Not output" and "shape I don't understand" must + * not collapse into one answer: a recognized stream that produced nothing has no first token to + * report, whereas an unrecognized shape is the only case where approximating from the first + * payload beats reporting nothing. + */ + @Test + void recognizedNonOutputIsDistinguishedFromAnUnrecognizedShape() { + // Recognized: Responses lifecycle, and a chat-completions role-only opening chunk. + assertEquals( + SseStreamAccumulator.PayloadKind.NO_OUTPUT, + kind("{\"type\":\"response.created\",\"response\":{\"id\":\"r1\"}}")); + assertEquals( + SseStreamAccumulator.PayloadKind.NO_OUTPUT, + kind( + "{\"object\":\"chat.completion.chunk\",\"choices\":[{\"index\":0," + + "\"delta\":{\"role\":\"assistant\",\"content\":\"\"}}]}")); + assertEquals( + SseStreamAccumulator.PayloadKind.NO_OUTPUT, + kind("{\"object\":\"chat.completion.chunk\",\"choices\":[]}")); + + // Unrecognized: neither wire shape. + assertEquals(SseStreamAccumulator.PayloadKind.UNRECOGNIZED, kind("{\"foo\":\"bar\"}")); + assertEquals(SseStreamAccumulator.PayloadKind.UNRECOGNIZED, kind("not json")); + assertEquals(SseStreamAccumulator.PayloadKind.UNRECOGNIZED, kind("[1,2,3]")); + assertEquals(SseStreamAccumulator.PayloadKind.UNRECOGNIZED, kind("[DONE]")); + assertEquals(SseStreamAccumulator.PayloadKind.UNRECOGNIZED, kind(null)); + + assertEquals( + SseStreamAccumulator.PayloadKind.OUTPUT, + kind("{\"type\":\"response.output_text.delta\",\"delta\":\"Par\"}")); + } + + /** Sentinels, blanks, and malformed payloads must not be mistaken for output. */ + @Test + void nonOutputPayloadsAreRejected() { + assertFalse(isOutput(null)); + assertFalse(isOutput("")); + assertFalse(isOutput(" ")); + assertFalse(isOutput("[DONE]")); + assertFalse(isOutput("not json")); + assertFalse(isOutput("[1,2,3]")); + assertFalse(isOutput("{\"object\":\"chat.completion.chunk\",\"choices\":[]}")); + } } diff --git a/btx/build.gradle b/btx/build.gradle index e254c2d4..999f0c25 100644 --- a/btx/build.gradle +++ b/btx/build.gradle @@ -79,7 +79,7 @@ dependencies { testImplementation 'com.anthropic:anthropic-java:2.10.0' // AWS Bedrock SDK - testImplementation 'software.amazon.awssdk:bedrockruntime:2.30.0' + testImplementation 'software.amazon.awssdk:bedrockruntime:2.32.0' testImplementation 'software.amazon.awssdk:netty-nio-client:2.30.0' // Gemini SDK diff --git a/btx/src/test/java/dev/braintrust/sdkspecimpl/LlmSpanSpecTest.java b/btx/src/test/java/dev/braintrust/sdkspecimpl/LlmSpanSpecTest.java index 9f939cd9..483b99ee 100644 --- a/btx/src/test/java/dev/braintrust/sdkspecimpl/LlmSpanSpecTest.java +++ b/btx/src/test/java/dev/braintrust/sdkspecimpl/LlmSpanSpecTest.java @@ -116,6 +116,10 @@ void runSpec(LlmSpanSpec spec, String rootSpanId) throws Exception { List> brainstoreSpans = SPAN_FETCHER.fetch(rootSpanId, expectedSpanCount); SpanValidator.validate(brainstoreSpans, spec.expectedBrainstoreSpans(), spec.displayName()); + // Provider-independent token invariants, applied to every LLM span this spec produced. + // These relate metrics to each other, which per-field YAML assertions cannot express, so + // running them here gives every spec in the suite token-accounting coverage for free. + TokenAccountingSpec.assertSpanTree(brainstoreSpans, spec.displayName()); } /** diff --git a/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpec.java b/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpec.java new file mode 100644 index 00000000..236c09f8 --- /dev/null +++ b/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpec.java @@ -0,0 +1,311 @@ +package dev.braintrust.sdkspecimpl; + +import java.util.ArrayList; +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import javax.annotation.Nullable; + +/** + * Provider-independent conformance checks for the token metrics on an LLM span. + * + *

These invariants come from the braintrust-spec token/cost rules and cannot be written as + * per-field YAML assertions, because every one of them relates several metrics to each + * other — {@code !fn} predicates only ever see a single value. Rather than grow the spec's matcher + * vocabulary to support cross-field references, the runner pipes every LLM span it already collects + * through this class, so each spec in the suite gets token-accounting coverage for free. + * + *

The rules enforced, all from {@code features/token-and-cost-metrics.md}: + * + *

    + *
  • Every token metric is a non-negative integer. Fractional or negative counts are a bug, and + * missing data must be omitted rather than fabricated as zero. + *
  • {@code tokens == prompt_tokens + completion_tokens} whenever all three are present. + *
  • Prompt-side detail metrics are subsets of {@code prompt_tokens}, and + * completion-side detail metrics are subsets of {@code completion_tokens} — never additional + * token classes. + *
  • Cache reads and cache writes are disjoint subsets of {@code prompt_tokens}, so their sum + * cannot exceed it. This is the check that catches a provider whose native prompt count + * excludes cache tokens (Anthropic and Bedrock both do) being copied into {@code + * prompt_tokens} without rolling the cache counts back in. + *
  • Anthropic spans carry exactly one representation of cache-creation tokens: the per-TTL + * breakdown or the aggregate, not both. + *
+ * + *

A missing metric is never a violation — these are consistency rules, not presence rules. + * Presence is asserted per spec in the YAML, where it belongs. + */ +public final class TokenAccountingSpec { + + private static final String PROMPT = "prompt_tokens"; + private static final String COMPLETION = "completion_tokens"; + private static final String TOTAL = "tokens"; + private static final String CACHED = "prompt_cached_tokens"; + private static final String CACHE_CREATE = "prompt_cache_creation_tokens"; + private static final String CACHE_CREATE_5M = "prompt_cache_creation_5m_tokens"; + private static final String CACHE_CREATE_1H = "prompt_cache_creation_1h_tokens"; + + /** Detail metrics that must not exceed {@code prompt_tokens}. */ + private static final List PROMPT_SUBSET_METRICS = + List.of(CACHED, CACHE_CREATE, CACHE_CREATE_5M, CACHE_CREATE_1H, "prompt_audio_tokens"); + + /** Detail metrics that must not exceed {@code completion_tokens}. */ + private static final List COMPLETION_SUBSET_METRICS = + List.of( + "completion_reasoning_tokens", + "completion_audio_tokens", + "completion_image_tokens"); + + /** Every metric that must be a non-negative integer. */ + private static final List INTEGER_METRICS = new ArrayList<>(); + + static { + INTEGER_METRICS.add(PROMPT); + INTEGER_METRICS.add(COMPLETION); + INTEGER_METRICS.add(TOTAL); + INTEGER_METRICS.addAll(PROMPT_SUBSET_METRICS); + INTEGER_METRICS.addAll(COMPLETION_SUBSET_METRICS); + } + + private TokenAccountingSpec() {} + + /** + * Checks one span's {@code metrics} map and returns a human-readable description of every rule + * it breaks. An empty list means the span's token accounting is self-consistent. + * + * @param metrics the span's brainstore {@code metrics} map; {@code null} or empty yields no + * violations + * @param provider the span's {@code metadata.provider}, used for the Anthropic-specific + * single-representation rule; may be {@code null} + */ + public static List violations( + @Nullable Map metrics, @Nullable String provider) { + List problems = new ArrayList<>(); + if (metrics == null || metrics.isEmpty()) { + return problems; + } + + // 1. Types and signs. A metric that fails here is excluded from the arithmetic below, so a + // single bad value yields one clear violation instead of a cascade. + Map counts = new LinkedHashMap<>(); + for (String name : INTEGER_METRICS) { + Object raw = metrics.get(name); + if (raw == null) { + continue; + } + Long value = asIntegralLong(raw); + if (value == null) { + problems.add( + String.format( + "%s must be a non-negative integer but was %s (%s)", + name, raw, raw.getClass().getSimpleName())); + continue; + } + if (value < 0) { + problems.add(String.format("%s must be non-negative but was %d", name, value)); + continue; + } + counts.put(name, value); + } + + // Non-integral metrics have their own, looser contract: finite and non-negative. + checkFiniteNonNegative(metrics, "time_to_first_token", problems); + checkFiniteNonNegative(metrics, "estimated_cost", problems); + + Long prompt = counts.get(PROMPT); + Long completion = counts.get(COMPLETION); + Long total = counts.get(TOTAL); + + // 2. Totals. Only checked when all three are known — embedding spans legitimately omit + // completion_tokens, and a provider may report a total without a breakdown. + if (prompt != null && completion != null && total != null && prompt + completion != total) { + problems.add( + String.format( + "tokens (%d) must equal prompt_tokens (%d) + completion_tokens (%d) =" + + " %d", + total, prompt, completion, prompt + completion)); + } + + // 3. Detail metrics are subsets of their parent total, not additions to it. + for (String name : PROMPT_SUBSET_METRICS) { + checkSubset(counts, name, prompt, PROMPT, problems); + } + for (String name : COMPLETION_SUBSET_METRICS) { + checkSubset(counts, name, completion, COMPLETION, problems); + } + + // 4. Cache reads and cache writes are disjoint slices of the prompt, so together they still + // have to fit inside prompt_tokens. Providers whose native input count excludes cache + // tokens (Anthropic, Bedrock) break this the moment that raw count is used as-is. + long cached = counts.getOrDefault(CACHED, 0L); + long effectiveCreation = effectiveCacheCreationTokens(counts); + if (prompt != null && cached + effectiveCreation > prompt) { + problems.add( + String.format( + "prompt_cached_tokens (%d) + effective cache-creation tokens (%d) =" + + " %d exceeds prompt_tokens (%d). Cache tokens are a subset of" + + " prompt_tokens, so a provider that reports its input count" + + " exclusive of cache tokens must have them rolled back in.", + cached, effectiveCreation, cached + effectiveCreation, prompt)); + } + + // 5. Anthropic must pick one cache-creation representation. + if ("anthropic".equals(provider) + && counts.containsKey(CACHE_CREATE) + && (counts.containsKey(CACHE_CREATE_5M) || counts.containsKey(CACHE_CREATE_1H))) { + problems.add( + "anthropic spans must emit either prompt_cache_creation_tokens or the per-TTL" + + " breakdown, not both"); + } + + return problems; + } + + /** + * Recursively checks every LLM span in a brainstore span tree, failing the calling test with + * every violation found across the whole tree. + * + *

Non-LLM spans are skipped: tool spans and the like carry no token metrics. + * + * @param spans top-level spans, each optionally carrying nested {@code child_spans} + * @param context spec display name, used to make failures traceable + */ + public static void assertSpanTree(@Nullable List> spans, String context) { + List problems = new ArrayList<>(); + collect(spans, context, problems); + if (!problems.isEmpty()) { + org.junit.jupiter.api.Assertions.fail( + "token accounting violations:\n " + String.join("\n ", problems)); + } + } + + @SuppressWarnings("unchecked") + private static void collect( + @Nullable List> spans, String context, List problems) { + if (spans == null) { + return; + } + for (int i = 0; i < spans.size(); i++) { + Map span = spans.get(i); + if (span == null) { + continue; + } + String spanContext = context + "[" + i + "]"; + if (isLlmSpan(span)) { + Map metrics = + span.get("metrics") instanceof Map m ? (Map) m : null; + for (String problem : violations(metrics, providerOf(span))) { + problems.add(spanContext + " (" + spanName(span) + "): " + problem); + } + } + if (span.get("child_spans") instanceof List children) { + collect((List>) children, spanContext, problems); + } + } + } + + @SuppressWarnings("unchecked") + private static boolean isLlmSpan(Map span) { + return span.get("span_attributes") instanceof Map attrs + && "llm".equals(((Map) attrs).get("type")); + } + + @SuppressWarnings("unchecked") + @Nullable + private static String providerOf(Map span) { + if (span.get("metadata") instanceof Map metadata) { + Object provider = ((Map) metadata).get("provider"); + return provider instanceof String s ? s : null; + } + return null; + } + + @SuppressWarnings("unchecked") + private static String spanName(Map span) { + Object name = span.get("name"); + if (name instanceof String s) { + return s; + } + // Spans fetched from BTQL carry the name under span_attributes rather than at the top + // level, so fall back there before giving up. + if (span.get("span_attributes") instanceof Map attrs) { + Object attrName = ((Map) attrs).get("name"); + if (attrName instanceof String s) { + return s; + } + } + return "unnamed"; + } + + /** + * Cache-creation tokens actually charged against the prompt. The per-TTL metrics are an + * alternative representation of the aggregate rather than additional tokens, so the two are + * reconciled with {@code max} — matching the server's own cost formula. + */ + private static long effectiveCacheCreationTokens(Map counts) { + long aggregate = counts.getOrDefault(CACHE_CREATE, 0L); + long split = + counts.getOrDefault(CACHE_CREATE_5M, 0L) + counts.getOrDefault(CACHE_CREATE_1H, 0L); + return Math.max(aggregate, split); + } + + private static void checkSubset( + Map counts, + String name, + @Nullable Long parent, + String parentName, + List problems) { + Long value = counts.get(name); + if (value == null || parent == null || value <= parent) { + return; + } + problems.add( + String.format( + "%s (%d) must not exceed %s (%d) — it is a subset of it, not an addition", + name, value, parentName, parent)); + } + + private static void checkFiniteNonNegative( + Map metrics, String name, List problems) { + Object raw = metrics.get(name); + if (raw == null) { + return; + } + if (!(raw instanceof Number n)) { + problems.add( + String.format( + "%s must be a number but was %s (%s)", + name, raw, raw.getClass().getSimpleName())); + return; + } + double value = n.doubleValue(); + if (Double.isNaN(value) || Double.isInfinite(value)) { + problems.add(String.format("%s must be finite but was %s", name, raw)); + } else if (value < 0) { + problems.add(String.format("%s must be non-negative but was %s", name, raw)); + } + } + + /** + * Returns {@code raw} as a long when it holds an integral value, else {@code null}. A {@code + * Double} carrying a whole number (how JSON {@code 5.0} may deserialize) is accepted; a genuine + * fraction is not. + */ + @Nullable + private static Long asIntegralLong(Object raw) { + if (raw instanceof Integer || raw instanceof Long || raw instanceof Short) { + return ((Number) raw).longValue(); + } + if (raw instanceof java.math.BigInteger b) { + return b.longValue(); + } + if (raw instanceof Number n) { + double d = n.doubleValue(); + if (Double.isNaN(d) || Double.isInfinite(d) || d != Math.floor(d)) { + return null; + } + return (long) d; + } + return null; + } +} diff --git a/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpecTest.java b/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpecTest.java new file mode 100644 index 00000000..e6eb7d34 --- /dev/null +++ b/btx/src/test/java/dev/braintrust/sdkspecimpl/TokenAccountingSpecTest.java @@ -0,0 +1,353 @@ +package dev.braintrust.sdkspecimpl; + +import static org.junit.jupiter.api.Assertions.*; + +import java.util.LinkedHashMap; +import java.util.List; +import java.util.Map; +import org.junit.jupiter.api.Nested; +import org.junit.jupiter.api.Test; + +/** + * Tests for {@link TokenAccountingSpec} itself. This class is an assertion helper wired into every + * spec in the suite, so a bug in it either fails good spans or — worse — silently passes bad ones. + * These cover both directions. + */ +class TokenAccountingSpecTest { + + /** Builds a metrics map from alternating key/value pairs. */ + private static Map metrics(Object... keyValues) { + Map m = new LinkedHashMap<>(); + for (int i = 0; i < keyValues.length; i += 2) { + m.put((String) keyValues[i], keyValues[i + 1]); + } + return m; + } + + private static List check(Map metrics) { + return TokenAccountingSpec.violations(metrics, null); + } + + private static void assertClean(Map metrics) { + assertEquals(List.of(), check(metrics)); + } + + /** Asserts exactly one violation, mentioning each of {@code expectedMentions}. */ + private static void assertViolation(Map metrics, String... expectedMentions) { + List problems = check(metrics); + assertEquals(1, problems.size(), () -> "expected exactly one violation, got " + problems); + for (String mention : expectedMentions) { + assertTrue( + problems.get(0).contains(mention), + () -> "violation should mention '" + mention + "': " + problems.get(0)); + } + } + + @Nested + class Totals { + + @Test + void consistentTotalsAreClean() { + assertClean(metrics("prompt_tokens", 10, "completion_tokens", 5, "tokens", 15)); + } + + @Test + void mismatchedTotalIsAViolation() { + assertViolation( + metrics("prompt_tokens", 10, "completion_tokens", 5, "tokens", 99), + "tokens (99)", + "= 15"); + } + + /** Embedding spans omit completion_tokens; the total check must not fire. */ + @Test + void missingCompletionTokensSkipsTotalCheck() { + assertClean(metrics("prompt_tokens", 10, "tokens", 10)); + } + + @Test + void totalAloneIsClean() { + assertClean(metrics("tokens", 42)); + } + + @Test + void emptyAndNullMetricsAreClean() { + assertClean(metrics()); + assertEquals(List.of(), TokenAccountingSpec.violations(null, null)); + } + } + + @Nested + class TypesAndSigns { + + @Test + void negativeCountIsAViolation() { + assertViolation(metrics("prompt_tokens", -1), "prompt_tokens", "non-negative"); + } + + @Test + void fractionalCountIsAViolation() { + assertViolation(metrics("completion_tokens", 1.5), "completion_tokens", "integer"); + } + + @Test + void nonNumericCountIsAViolation() { + assertViolation(metrics("tokens", "many"), "tokens", "integer"); + } + + /** JSON may deserialize a whole number as a double; that is still an integer count. */ + @Test + void wholeNumberDoubleIsAccepted() { + assertClean(metrics("prompt_tokens", 10.0, "completion_tokens", 5.0, "tokens", 15.0)); + } + + @Test + void longCountsAreAccepted() { + assertClean(metrics("prompt_tokens", 10L, "completion_tokens", 5L, "tokens", 15L)); + } + + /** A bad value is reported once, not cascaded into every downstream arithmetic check. */ + @Test + void badValueDoesNotCascade() { + assertViolation( + metrics("prompt_tokens", -5, "prompt_cached_tokens", 100), "prompt_tokens"); + } + + @Test + void timeToFirstTokenIsFractionalButMustBeNonNegative() { + assertClean(metrics("time_to_first_token", 0.734)); + assertViolation(metrics("time_to_first_token", -0.5), "time_to_first_token"); + } + + @Test + void nonFiniteEstimatedCostIsAViolation() { + assertViolation(metrics("estimated_cost", Double.NaN), "estimated_cost", "finite"); + } + } + + @Nested + class SubsetRules { + + @Test + void cachedTokensWithinPromptAreClean() { + assertClean(metrics("prompt_tokens", 100, "prompt_cached_tokens", 80)); + } + + @Test + void cachedTokensExceedingPromptIsAViolation() { + List problems = check(metrics("prompt_tokens", 10, "prompt_cached_tokens", 80)); + assertFalse(problems.isEmpty()); + assertTrue( + problems.stream().anyMatch(p -> p.contains("prompt_cached_tokens")), + () -> problems.toString()); + } + + @Test + void reasoningTokensExceedingCompletionIsAViolation() { + assertViolation( + metrics("completion_tokens", 10, "completion_reasoning_tokens", 50), + "completion_reasoning_tokens", + "completion_tokens"); + } + + @Test + void audioAndImageDetailsAreSubsets() { + assertClean( + metrics( + "prompt_tokens", 100, + "prompt_audio_tokens", 40, + "completion_tokens", 50, + "completion_audio_tokens", 20, + "completion_image_tokens", 10, + "tokens", 150)); + assertViolation( + metrics("completion_tokens", 5, "completion_image_tokens", 6), + "completion_image_tokens"); + } + + /** Detail metrics are only checked against a parent that is actually present. */ + @Test + void detailWithoutParentIsClean() { + assertClean(metrics("prompt_cached_tokens", 500)); + } + } + + @Nested + class CacheRollIn { + + /** + * The regression this whole helper exists for: Anthropic and Bedrock report their native + * input count exclusive of cache tokens, so copying it into prompt_tokens as-is leaves the + * cache metrics larger than the total they are a subset of. + */ + @Test + void cacheTokensExceedingPromptIsAViolation() { + List problems = + check( + metrics( + "prompt_tokens", 12, + "completion_tokens", 30, + "tokens", 42, + "prompt_cached_tokens", 0, + "prompt_cache_creation_5m_tokens", 1365)); + assertTrue( + problems.stream().anyMatch(p -> p.contains("exceeds prompt_tokens")), + () -> "expected a roll-in violation, got " + problems); + } + + /** The same payload with cache tokens rolled in is clean. */ + @Test + void rolledInPromptTokensAreClean() { + assertClean( + metrics( + "prompt_tokens", 1377, + "completion_tokens", 30, + "tokens", 1407, + "prompt_cached_tokens", 0, + "prompt_cache_creation_5m_tokens", 1365)); + } + + @Test + void cacheReadsAndWritesAreSummedAgainstPrompt() { + List problems = + check( + metrics( + "prompt_tokens", 100, + "prompt_cached_tokens", 60, + "prompt_cache_creation_tokens", 60)); + assertTrue( + problems.stream().anyMatch(p -> p.contains("exceeds prompt_tokens")), + () -> "reads + writes (120) exceed prompt (100): " + problems); + } + + /** + * The per-TTL split is an alternative representation of the aggregate, not extra tokens, so + * the two are reconciled with max — a span carrying both must not be double-counted. + */ + @Test + void aggregateAndSplitAreReconciledWithMaxNotSum() { + assertClean( + metrics( + "prompt_tokens", 1000, + "prompt_cache_creation_tokens", 600, + "prompt_cache_creation_5m_tokens", 600)); + // Summing them would give 1200 and falsely exceed prompt_tokens. + } + + @Test + void perTtlBucketsSumTogether() { + List problems = + check( + metrics( + "prompt_tokens", 100, + "prompt_cache_creation_5m_tokens", 60, + "prompt_cache_creation_1h_tokens", 60)); + assertTrue( + problems.stream().anyMatch(p -> p.contains("exceeds prompt_tokens")), + () -> problems.toString()); + } + } + + @Nested + class SingleRepresentation { + + @Test + void anthropicMustNotEmitBothRepresentations() { + List problems = + TokenAccountingSpec.violations( + metrics( + "prompt_tokens", 5000, + "prompt_cache_creation_tokens", 1000, + "prompt_cache_creation_5m_tokens", 1000), + "anthropic"); + assertTrue( + problems.stream().anyMatch(p -> p.contains("not both")), + () -> problems.toString()); + } + + /** The rule is a MUST only for Anthropic; elsewhere it is a SHOULD, so it stays quiet. */ + @Test + void otherProvidersMayEmitBoth() { + assertEquals( + List.of(), + TokenAccountingSpec.violations( + metrics( + "prompt_tokens", 5000, + "prompt_cache_creation_tokens", 1000, + "prompt_cache_creation_5m_tokens", 1000), + "bedrock")); + } + } + + @Nested + class SpanTreeWalking { + + private static Map llmSpan(String name, Map metrics) { + Map span = new LinkedHashMap<>(); + span.put("name", name); + span.put("span_attributes", Map.of("type", "llm", "name", name)); + span.put("metadata", Map.of("provider", "anthropic")); + span.put("metrics", metrics); + return span; + } + + @Test + void cleanTreePasses() { + TokenAccountingSpec.assertSpanTree( + List.of(llmSpan("llm", metrics("prompt_tokens", 10, "tokens", 10))), "spec"); + } + + @Test + void nullTreePasses() { + TokenAccountingSpec.assertSpanTree(null, "spec"); + } + + /** Non-LLM spans (e.g. tool spans) carry no token metrics and must be skipped. */ + @Test + void nonLlmSpansAreIgnored() { + Map toolSpan = new LinkedHashMap<>(); + toolSpan.put("name", "web_search"); + toolSpan.put("span_attributes", Map.of("type", "tool")); + toolSpan.put("metrics", metrics("prompt_tokens", -999)); + TokenAccountingSpec.assertSpanTree(List.of(toolSpan), "spec"); + } + + @Test + void violationInNestedChildSpanIsReported() { + Map parent = + llmSpan("parent", metrics("prompt_tokens", 10, "tokens", 10)); + parent.put( + "child_spans", + List.of( + llmSpan( + "child", + metrics( + "prompt_tokens", 1, + "completion_tokens", 1, + "tokens", 999)))); + + AssertionError error = + assertThrows( + AssertionError.class, + () -> TokenAccountingSpec.assertSpanTree(List.of(parent), "spec")); + assertTrue(error.getMessage().contains("child"), error.getMessage()); + assertTrue(error.getMessage().contains("spec[0][0]"), error.getMessage()); + } + + /** Every violation across the tree is reported at once, not just the first. */ + @Test + void allViolationsAcrossTheTreeAreReported() { + AssertionError error = + assertThrows( + AssertionError.class, + () -> + TokenAccountingSpec.assertSpanTree( + List.of( + llmSpan("a", metrics("prompt_tokens", -1)), + llmSpan("b", metrics("completion_tokens", -2))), + "spec")); + assertTrue(error.getMessage().contains("prompt_tokens"), error.getMessage()); + assertTrue(error.getMessage().contains("completion_tokens"), error.getMessage()); + } + } +} diff --git a/test-harness/src/testFixtures/resources/cassettes/bedrock/__files/model_us.anthropic.claude-haiku-4-5-20251001-v10_converse-6b7d2a8e6e30.json b/test-harness/src/testFixtures/resources/cassettes/bedrock/__files/model_us.anthropic.claude-haiku-4-5-20251001-v10_converse-6b7d2a8e6e30.json new file mode 100644 index 00000000..8d2a9b37 --- /dev/null +++ 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