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3 changes: 2 additions & 1 deletion AGENTS.md
Original file line number Diff line number Diff line change
Expand Up @@ -160,11 +160,12 @@ VCR_MODE=record ./gradlew :braintrust-sdk:test --tests 'dev.braintrust.devserver
- when running btx, use the spec filter to target what is specifically under development: `VCR_MODE=off ./gradlew :btx:test -Pbtx.spec.filter=openai/prompt_cach --rerun`
- don't reformat the whole repo, but do run `./gradlew spotlessApply` on files you changed before committing. the pre-commit hook and `./gradlew check` both run `spotlessCheck`, which fails on unformatted code.

## Gotchas
## Misc Tips and Best Practices

- **don't hand-edit cassettes.** they're content-hashed and guarded against committed secrets. a failing VCR test means the recorded interaction changed — re-record it (see the VCR section), don't patch the json.
- **`braintrust-api` is generated code.** don't edit sources under it by hand; it's regenerated from the braintrust openapi spec pinned as `braintrustOpenApiRef` in gradle.properties.
- **there are no version constants to bump.** the sdk version is derived from git tags at build time (`generateVersion()` in build.gradle) and written into braintrust.properties. "bump the version" is not a source change.
- When adding test cases, favor adding to the test file of the module being changed rather than making a new file. For example, if you fix a bug in the `Foo` module, add the test case to `FooTest.java` instead of making a new file, `FooTestMyBuggyCase.java`

## Releasing

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Original file line number Diff line number Diff line change
@@ -0,0 +1,117 @@
package dev.braintrust.instrumentation.anthropic.v2_2_0;

import com.anthropic.helpers.MessageAccumulator;
import com.anthropic.models.messages.RawMessageStreamEvent;
import dev.braintrust.json.BraintrustJsonMapper;
import java.io.BufferedReader;
import java.io.ByteArrayInputStream;
import java.io.InputStreamReader;
import java.nio.charset.StandardCharsets;
import javax.annotation.Nullable;
import lombok.extern.slf4j.Slf4j;

/**
* Turns the raw bytes of an Anthropic response into a single JSON document the semconv layer can
* tag.
*
* <p>All of the wire-format bookkeeping lives here — SSE-vs-plain-JSON detection and chunk
* reassembly — so that {@code TracingHttpClient} is left holding only the span lifecycle and one
* flat call into {@code InstrumentationSemConv}.
*/
@Slf4j
class ResponseReassembler {

private ResponseReassembler() {}

/**
* A reassembled response body plus the timing that belongs with it.
*
* <p>{@code body} is null when there was nothing usable to reassemble — an empty response, or
* one we couldn't parse. Callers should still tag the response in that case; the headers remain
* worth recording.
*
* <p>{@code timeToFirstTokenNanos} is only populated for a stream, since a non-streaming
* response has no first token to time.
*/
record Result(@Nullable String body, @Nullable Long timeToFirstTokenNanos) {
static final Result EMPTY = new Result(null, null);
}

/** Detects the wire format and reassembles accordingly. Never throws. */
static Result reassemble(byte[] bytes, long timeToFirstTokenNanos) {
if (bytes.length == 0) {
return Result.EMPTY;
}
try {
String firstLine = firstNonEmptyLine(bytes);
// Anthropic SSE starts with "event: message_start\ndata: ..." so we detect either
// prefix. OpenAI SSE starts directly with "data:".
boolean isSse =
firstLine != null
&& (firstLine.startsWith("data:") || firstLine.startsWith("event:"));
if (isSse) {
return new Result(reassembleSse(bytes), timeToFirstTokenNanos);
}
// Non-streaming: plain Message JSON — pass it whole, no time_to_first_token
return new Result(new String(bytes, StandardCharsets.UTF_8), null);
} catch (Exception e) {
log.error("Could not reassemble Anthropic response buffer", e);
return Result.EMPTY;
}
}

@Nullable
private static String firstNonEmptyLine(byte[] bytes) {
int start = 0;
for (int i = 0; i <= bytes.length; i++) {
if (i == bytes.length || bytes[i] == '\n') {
String line = new String(bytes, start, i - start, StandardCharsets.UTF_8).strip();
if (!line.isEmpty()) return line;
start = i + 1;
}
}
return null;
}

/**
* Anthropic SSE wire format has named events:
*
* <pre>
* event: message_start
* data: {"type":"message_start","message":{...}}
*
* event: content_block_delta
* data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hi"}}
* </pre>
*
* We only need the {@code data:} lines — the event name is redundant with the {@code type}
* field inside the JSON. Feed each data payload to {@link MessageAccumulator} and serialize the
* assembled {@link com.anthropic.models.messages.Message}.
*/
@Nullable
private static String reassembleSse(byte[] sseBytes) {
try {
var mapper = BraintrustJsonMapper.get();
var reader =
new BufferedReader(
new InputStreamReader(
new ByteArrayInputStream(sseBytes), StandardCharsets.UTF_8));
var accumulator = MessageAccumulator.create();
String line;
while ((line = reader.readLine()) != null) {
if (!line.startsWith("data:")) continue;
String data = line.substring("data:".length()).strip();
if (data.isEmpty()) continue;
try {
accumulator.accumulate(mapper.readValue(data, RawMessageStreamEvent.class));
} catch (Exception ignored) {
// skip unrecognized event types (e.g. ping)
}
}
return BraintrustJsonMapper.toJson(accumulator.message());
} catch (Exception e) {
log.error("Could not parse Anthropic SSE buffer to tag streaming span output", e);
return null;
}
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -5,25 +5,22 @@
import com.anthropic.core.http.HttpRequest;
import com.anthropic.core.http.HttpRequestBody;
import com.anthropic.core.http.HttpResponse;
import com.anthropic.helpers.MessageAccumulator;
import com.anthropic.models.messages.RawMessageStreamEvent;
import dev.braintrust.bootstrap.BraintrustBridge;
import dev.braintrust.instrumentation.InstrumentationSemConv;
import dev.braintrust.json.BraintrustJsonMapper;
import io.opentelemetry.api.OpenTelemetry;
import io.opentelemetry.api.trace.Span;
import io.opentelemetry.api.trace.SpanContext;
import io.opentelemetry.api.trace.TraceFlags;
import io.opentelemetry.api.trace.TraceState;
import io.opentelemetry.api.trace.Tracer;
import io.opentelemetry.context.Context;
import java.io.BufferedReader;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.atomic.AtomicBoolean;
import java.util.concurrent.atomic.AtomicLong;
Expand Down Expand Up @@ -125,7 +122,9 @@ public void close() {
bufferedRequest.baseUrl() != null ? bufferedRequest.baseUrl() : "",
bufferedRequest.pathSegments(),
bufferedRequest.method().name(),
inputJson);
inputJson,
null,
headersAsMap(bufferedRequest.headers()));

var response = underlying.execute(bufferedRequest, requestOptions);
return new TeeingStreamHttpResponse(response, span, tracer);
Expand Down Expand Up @@ -153,7 +152,9 @@ public void close() {
bufferedRequest.baseUrl() != null ? bufferedRequest.baseUrl() : "",
bufferedRequest.pathSegments(),
bufferedRequest.method().name(),
inputJson);
inputJson,
null,
headersAsMap(bufferedRequest.headers()));
return underlying
.executeAsync(bufferedRequest, requestOptions)
.thenApply(
Expand Down Expand Up @@ -264,9 +265,39 @@ private void onStreamClosed() {
synchronized (teeBuffer) {
bytes = teeBuffer.toByteArray();
}

// Recorded before tagging: the anthropic sdk raises above this layer, so the
// error status is ours alone to set, and losing it to a body-parsing problem is
// worse than losing the parsed output.
// Anything outside 2xx, not just 4xx/5xx: both vendor SDKs treat success as
// exactly 200..299, so a final 3xx that the http client did not follow (a 304, or
// a redirect with no usable Location) is raised to the caller as an
// UnexpectedStatusCodeException and must mark the span failed too.
int statusCode = delegate.statusCode();
if (statusCode < 200 || statusCode >= 300) {
InstrumentationSemConv.tagLLMSpanHttpError(
span, statusCode, new String(bytes, StandardCharsets.UTF_8));
}

// Wire-format bookkeeping lives in ResponseReassembler; this hands semconv
// everything the response carried in one flat call. A null body (empty or
// unparseable response) still tags the headers.
// tagLLMSpanResponse also emits child spans for any server-side tool calls (web
// search, etc.) nested under the LLM span while it is still live.
tagSpanFromBuffer(tracer, span, bytes, timeToFirstTokenNanos.get());
try {
var reassembled =
ResponseReassembler.reassemble(bytes, timeToFirstTokenNanos.get());
InstrumentationSemConv.tagLLMSpanResponse(
tracer,
span,
InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC,
reassembled.body(),
reassembled.timeToFirstTokenNanos(),
headersAsMap(delegate.headers()));
} catch (Exception e) {
// Observability must never change the response behavior seen by the caller.
log.error("Could not tag span from response buffer", e);
}
} finally {
span.end();
}
Expand Down Expand Up @@ -360,89 +391,25 @@ private void notifyClosed() {
// Span tagging from buffered bytes
// -------------------------------------------------------------------------

private static void tagSpanFromBuffer(
Tracer tracer, Span span, byte[] bytes, Long timeToFirstTokenNanos) {
if (bytes.length == 0) return;
try {
String firstLine = firstNonEmptyLine(bytes);
// Anthropic SSE starts with "event: message_start\ndata: ..." so we detect
// either prefix. OpenAI SSE starts directly with "data:".
boolean isSse =
firstLine != null
&& (firstLine.startsWith("data:") || firstLine.startsWith("event:"));
if (isSse) {
tagSpanFromSseBytes(tracer, span, bytes, timeToFirstTokenNanos);
} else {
// Non-streaming: plain Message JSON — pass it whole, no time_to_first_token
String responseJson = new String(bytes, StandardCharsets.UTF_8);
InstrumentationSemConv.tagLLMSpanResponse(
tracer,
span,
InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC,
responseJson,
null);
}
} catch (Exception e) {
log.error("Could not tag span from Anthropic response buffer", e);
}
}

private static String firstNonEmptyLine(byte[] bytes) {
int start = 0;
for (int i = 0; i <= bytes.length; i++) {
if (i == bytes.length || bytes[i] == '\n') {
String line = new String(bytes, start, i - start, StandardCharsets.UTF_8).strip();
if (!line.isEmpty()) return line;
start = i + 1;
}
}
return null;
}

/**
* Anthropic SSE wire format has named events:
*
* <pre>
* event: message_start
* data: {"type":"message_start","message":{...}}
*
* event: content_block_delta
* data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hi"}}
* </pre>
*
* We only need the {@code data:} lines — the event name is redundant with the {@code type}
* field inside the JSON. Feed each data payload to {@link MessageAccumulator} and serialize the
* assembled {@link com.anthropic.models.messages.Message} for the span.
* Adapts the anthropic sdk's {@code Headers} to the vendor-neutral shape {@link
* InstrumentationSemConv} consumes. Returns an empty map on failure so a header-shape change
* can never take down the tagging that follows it.
*/
private static void tagSpanFromSseBytes(
Tracer tracer, Span span, byte[] sseBytes, Long timeToFirstTokenNanos) {
private static Map<String, List<String>> headersAsMap(
@Nullable com.anthropic.core.http.Headers headers) {
if (headers == null) {
return Map.of();
}
try {
var mapper = BraintrustJsonMapper.get();
var reader =
new BufferedReader(
new InputStreamReader(
new ByteArrayInputStream(sseBytes), StandardCharsets.UTF_8));
var accumulator = MessageAccumulator.create();
String line;
while ((line = reader.readLine()) != null) {
if (!line.startsWith("data:")) continue;
String data = line.substring("data:".length()).strip();
if (data.isEmpty()) continue;
try {
accumulator.accumulate(mapper.readValue(data, RawMessageStreamEvent.class));
} catch (Exception ignored) {
// skip unrecognized event types (e.g. ping)
}
var map = new HashMap<String, List<String>>();
for (String name : headers.names()) {
map.put(name, headers.values(name));
}
String assembledMessageJson = BraintrustJsonMapper.toJson(accumulator.message());
InstrumentationSemConv.tagLLMSpanResponse(
tracer,
span,
InstrumentationSemConv.PROVIDER_NAME_ANTHROPIC,
assembledMessageJson,
timeToFirstTokenNanos);
return map;
} catch (Exception e) {
log.error("Could not parse Anthropic SSE buffer to tag streaming span output", e);
log.debug("could not read headers", e);
return Map.of();
}
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,8 @@ public List<String> getHelperClassNames() {
MANUAL_INSTRUMENTATION_PACKAGE + "TracingHttpClient$ExtractedRequest",
MANUAL_INSTRUMENTATION_PACKAGE + "BraintrustAnthropic",
MANUAL_INSTRUMENTATION_PACKAGE + "ContextCapturingProxy",
MANUAL_INSTRUMENTATION_PACKAGE + "ResponseReassembler",
MANUAL_INSTRUMENTATION_PACKAGE + "ResponseReassembler$Result",
"dev.braintrust.json.BraintrustJsonMapper",
"dev.braintrust.instrumentation.InstrumentationSemConv");
}
Expand Down
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