[BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

Description

@braintrust-bot

Summary

The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

What is missing

In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

1. content_block_delta only handles text (line 696)

case"content_block_delta" -> {
intindex = event.has("index") ? event.get("index").asInt() : 0;
textByIndex.putIfAbsent(index, newStringBuilder());
if (event.has("delta") && event.get("delta").has("text")) {
textByIndex.get(index).append(event.get("delta").get("text").asText());
}
}

Missing delta types:

  • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
  • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
  • citations_delta — has delta.citation. Citation data is dropped.

2. Content block reconstruction hardcodes type: "text" (lines 717–725)

textByIndex.entrySet().stream()
.sorted(Map.Entry.comparingByKey())
.forEach(entry -> {
varblock = mapper.createObjectNode();
block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
contentBlocks.add(block);
});

The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

Impact

  • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
  • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
  • Non-streaming calls are unaffected — the full response JSON is captured correctly.

Braintrust docs status

Upstream sources

Local files inspected

  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
  • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
  • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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      Skip to content

      [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

      Description

      @braintrust-bot

      Summary

      The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

      This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

      For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

      What is missing

      In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

      1. content_block_delta only handles text (line 696)

      case"content_block_delta" -> {
      intindex = event.has("index") ? event.get("index").asInt() : 0;
      textByIndex.putIfAbsent(index, newStringBuilder());
      if (event.has("delta") && event.get("delta").has("text")) {
      textByIndex.get(index).append(event.get("delta").get("text").asText());
      }
      }

      Missing delta types:

      • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
      • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
      • citations_delta — has delta.citation. Citation data is dropped.

      2. Content block reconstruction hardcodes type: "text" (lines 717–725)

      textByIndex.entrySet().stream()
      .sorted(Map.Entry.comparingByKey())
      .forEach(entry -> {
      varblock = mapper.createObjectNode();
      block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
      contentBlocks.add(block);
      });

      The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

      Impact

      • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
      • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
      • Non-streaming calls are unaffected — the full response JSON is captured correctly.

      Braintrust docs status

      Upstream sources

      Local files inspected

      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
      • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
      • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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          , 'i'); if (__m === '*' || __re.test(location.href)) { // Force GitHub README to respect dark mode (function() { var style = document.createElement('style'); style.textContent = ' .markdown-body { color-scheme: dark light; } .markdown-body pre { background: #161b22 !important; } .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; } .markdown-body table th, .markdown-body table td { border-color: #30363d !important; } .markdown-body img { background: #0d1117; } .markdown-body blockquote { border-left-color: #8b949e; } .markdown-body hr { border-color: #30363d; } '; document.head.appendChild(style); })(); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
          Skip to content

          [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

          Description

          @braintrust-bot

          Summary

          The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

          This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

          For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

          What is missing

          In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

          1. content_block_delta only handles text (line 696)

          case"content_block_delta" -> {
          intindex = event.has("index") ? event.get("index").asInt() : 0;
          textByIndex.putIfAbsent(index, newStringBuilder());
          if (event.has("delta") && event.get("delta").has("text")) {
          textByIndex.get(index).append(event.get("delta").get("text").asText());
          }
          }

          Missing delta types:

          • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
          • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
          • citations_delta — has delta.citation. Citation data is dropped.

          2. Content block reconstruction hardcodes type: "text" (lines 717–725)

          textByIndex.entrySet().stream()
          .sorted(Map.Entry.comparingByKey())
          .forEach(entry -> {
          varblock = mapper.createObjectNode();
          block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
          contentBlocks.add(block);
          });

          The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

          Impact

          • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
          • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
          • Non-streaming calls are unaffected — the full response JSON is captured correctly.

          Braintrust docs status

          Upstream sources

          Local files inspected

          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
          • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
          • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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              , 'i'); if (__m === '*' || __re.test(location.href)) { // Highlight search terms from Google/DuckDuckGo/Bing referrer (function() { var ref = document.referrer; var terms = []; if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) { var url = new URL(ref); var q = url.searchParams.get('q') || url.searchParams.get('p'); if (q) { terms = q.split(/\s+/).filter(function(t) { return t.length > 2; }); } } if (terms.length === 0) return; var style = document.createElement('style'); style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }'; document.head.appendChild(style); function highlight(node) { if (node.nodeType === 3) { // text node var text = node.textContent; var found = false; terms.forEach(function(term) { var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi'); if (regex.test(text)) { found = true; var frag = document.createDocumentFragment(); var parts = text.split(regex); parts.forEach(function(part, i) { if (i % 2 === 0) { frag.appendChild(document.createTextNode(part)); } else { var span = document.createElement('span'); span.className = 'userscript-highlight'; span.textContent = part; frag.appendChild(span); } }); node.parentNode.replaceChild(frag, node); } }); } else if (node.nodeType === 1 && node.childNodes) { // element var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT']; if (!skipTags.includes(node.tagName)) { Array.from(node.childNodes).forEach(highlight); } } } highlight(document.body); // Re-highlight on dynamic content var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1 || node.nodeType === 3) highlight(node); }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

              Description

              @braintrust-bot

              Summary

              The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

              This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

              For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

              What is missing

              In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

              1. content_block_delta only handles text (line 696)

              case"content_block_delta" -> {
              intindex = event.has("index") ? event.get("index").asInt() : 0;
              textByIndex.putIfAbsent(index, newStringBuilder());
              if (event.has("delta") && event.get("delta").has("text")) {
              textByIndex.get(index).append(event.get("delta").get("text").asText());
              }
              }

              Missing delta types:

              • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
              • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
              • citations_delta — has delta.citation. Citation data is dropped.

              2. Content block reconstruction hardcodes type: "text" (lines 717–725)

              textByIndex.entrySet().stream()
              .sorted(Map.Entry.comparingByKey())
              .forEach(entry -> {
              varblock = mapper.createObjectNode();
              block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
              contentBlocks.add(block);
              });

              The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

              Impact

              • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
              • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
              • Non-streaming calls are unaffected — the full response JSON is captured correctly.

              Braintrust docs status

              Upstream sources

              Local files inspected

              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
              • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
              • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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                  , 'i'); if (__m === '*' || __re.test(location.href)) { // Strip utm_, fbclid, gclid, etc. from all links on page (function() { var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid', 'ref', 'ref_src', 'source', 'medium', 'campaign']; function cleanUrl(url) { try { var u = new URL(url, window.location.origin); var changed = false; trackingParams.forEach(function(p) { if (u.searchParams.has(p)) { u.searchParams.delete(p); changed = true; } }); return changed ? u.toString() : url; } catch (e) { return url; } } function cleanLinks() { document.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } cleanLinks(); var observer = new MutationObserver(function(mutations) { mutations.forEach(function(m) { m.addedNodes.forEach(function(node) { if (node.nodeType === 1) { if (node.tagName === 'A') cleanLinks(); node.querySelectorAll('a[href]').forEach(function(a) { var clean = cleanUrl(a.href); if (clean !== a.href) a.href = clean; }); } }); }); }); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
                  Skip to content

                  [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

                  Description

                  @braintrust-bot

                  Summary

                  The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

                  This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

                  For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

                  What is missing

                  In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

                  1. content_block_delta only handles text (line 696)

                  case"content_block_delta" -> {
                  intindex = event.has("index") ? event.get("index").asInt() : 0;
                  textByIndex.putIfAbsent(index, newStringBuilder());
                  if (event.has("delta") && event.get("delta").has("text")) {
                  textByIndex.get(index).append(event.get("delta").get("text").asText());
                  }
                  }

                  Missing delta types:

                  • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
                  • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
                  • citations_delta — has delta.citation. Citation data is dropped.

                  2. Content block reconstruction hardcodes type: "text" (lines 717–725)

                  textByIndex.entrySet().stream()
                  .sorted(Map.Entry.comparingByKey())
                  .forEach(entry -> {
                  varblock = mapper.createObjectNode();
                  block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
                  contentBlocks.add(block);
                  });

                  The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

                  Impact

                  • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
                  • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
                  • Non-streaming calls are unaffected — the full response JSON is captured correctly.

                  Braintrust docs status

                  Upstream sources

                  Local files inspected

                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
                  • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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                    No type

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                    No projects

                      Milestone

                      No milestone

                      Relationships

                      None yet

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                      No branches or pull requests

                      Issue actions

                      , 'i'); if (__m === '*' || __re.test(location.href)) { // Auto-enable theater mode on YouTube (function() { function tryTheater() { var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]'); if (btn && !btn.classList.contains('activated')) { btn.click(); } } // Try immediately tryTheater(); // Try after navigation (SPA) var lastUrl = location.href; setInterval(function() { if (location.href !== lastUrl) { lastUrl = location.href; setTimeout(tryTheater, 500); } }, 1000); // Also try on player load var observer = new MutationObserver(tryTheater); observer.observe(document.body, { childList: true, subtree: true }); })(); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                      Skip to content

                      [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

                      Description

                      @braintrust-bot

                      Summary

                      The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

                      This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

                      For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

                      What is missing

                      In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

                      1. content_block_delta only handles text (line 696)

                      case"content_block_delta" -> {
                      intindex = event.has("index") ? event.get("index").asInt() : 0;
                      textByIndex.putIfAbsent(index, newStringBuilder());
                      if (event.has("delta") && event.get("delta").has("text")) {
                      textByIndex.get(index).append(event.get("delta").get("text").asText());
                      }
                      }

                      Missing delta types:

                      • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
                      • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
                      • citations_delta — has delta.citation. Citation data is dropped.

                      2. Content block reconstruction hardcodes type: "text" (lines 717–725)

                      textByIndex.entrySet().stream()
                      .sorted(Map.Entry.comparingByKey())
                      .forEach(entry -> {
                      varblock = mapper.createObjectNode();
                      block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
                      contentBlocks.add(block);
                      });

                      The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

                      Impact

                      • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
                      • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
                      • Non-streaming calls are unaffected — the full response JSON is captured correctly.

                      Braintrust docs status

                      Upstream sources

                      Local files inspected

                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
                      • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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                          , 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
                          Skip to content

                          [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

                          Description

                          @braintrust-bot

                          Summary

                          The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

                          This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

                          For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

                          What is missing

                          In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

                          1. content_block_delta only handles text (line 696)

                          case"content_block_delta" -> {
                          intindex = event.has("index") ? event.get("index").asInt() : 0;
                          textByIndex.putIfAbsent(index, newStringBuilder());
                          if (event.has("delta") && event.get("delta").has("text")) {
                          textByIndex.get(index).append(event.get("delta").get("text").asText());
                          }
                          }

                          Missing delta types:

                          • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
                          • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
                          • citations_delta — has delta.citation. Citation data is dropped.

                          2. Content block reconstruction hardcodes type: "text" (lines 717–725)

                          textByIndex.entrySet().stream()
                          .sorted(Map.Entry.comparingByKey())
                          .forEach(entry -> {
                          varblock = mapper.createObjectNode();
                          block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
                          contentBlocks.add(block);
                          });

                          The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

                          Impact

                          • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
                          • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
                          • Non-streaming calls are unaffected — the full response JSON is captured correctly.

                          Braintrust docs status

                          Upstream sources

                          Local files inspected

                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
                          • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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                              Issue actions

                              , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                              Skip to content

                              [BOT ISSUE] Spring AI Anthropic SSE reassembly drops tool_use and thinking content blocks in streaming #78

                              Description

                              @braintrust-bot

                              Summary

                              The Spring AI Anthropic SSE reassembly in BraintrustSpringAI.reassembleAnthropicSSE() only handles text delta events. When streaming Anthropic responses include tool use (input_json_delta) or extended thinking (thinking_delta) content blocks, these are silently dropped from the reconstructed span output. All content blocks are hardcoded as {"type": "text", "text": "..."}, losing the actual block type and non-text content.

                              This is distinct from #71 (which covers missing provider/embedding coverage). The Anthropic backend IS supported for Spring AI, but its streaming output reconstruction is lossy for non-text content blocks.

                              For comparison, the direct Anthropic SDK instrumentation in this repo (TracingHttpClient in anthropic_2_2_0) uses the official MessageAccumulator which correctly handles all content block types.

                              What is missing

                              In BraintrustSpringAI.reassembleAnthropicSSE() (lines 646–734):

                              1. content_block_delta only handles text (line 696)

                              case"content_block_delta" -> {
                              intindex = event.has("index") ? event.get("index").asInt() : 0;
                              textByIndex.putIfAbsent(index, newStringBuilder());
                              if (event.has("delta") && event.get("delta").has("text")) {
                              textByIndex.get(index).append(event.get("delta").get("text").asText());
                              }
                              }

                              Missing delta types:

                              • thinking_delta — has delta.thinking (not delta.text). Extended thinking content is dropped.
                              • input_json_delta — has delta.partial_json (not delta.text). Tool use input JSON is dropped.
                              • citations_delta — has delta.citation. Citation data is dropped.

                              2. Content block reconstruction hardcodes type: "text" (lines 717–725)

                              textByIndex.entrySet().stream()
                              .sorted(Map.Entry.comparingByKey())
                              .forEach(entry -> {
                              varblock = mapper.createObjectNode();
                              block.put("type", "text"); // always "text"block.put("text", entry.getValue().toString());
                              contentBlocks.add(block);
                              });

                              The original content block type from content_block_start (e.g., tool_use, thinking) is not preserved. Tool use blocks should include id, name, and input; thinking blocks should use type: "thinking".

                              Impact

                              • Tool use in streaming: When the model returns a tool_use content block, the content_block_start event (containing id, name) is ignored beyond creating an empty buffer. The input_json_delta events are dropped. The final output has an empty {"type": "text", "text": ""} where a tool call should be.
                              • Extended thinking in streaming: Thinking content (thinking_delta events) is dropped. The span output loses all chain-of-thought reasoning.
                              • Non-streaming calls are unaffected — the full response JSON is captured correctly.

                              Braintrust docs status

                              Upstream sources

                              Local files inspected

                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAI.java — lines 646–734 (reassembleAnthropicSSE: only delta.text handled at line 696; content blocks hardcoded as type: "text" at line 722)
                              • braintrust-sdk/instrumentation/anthropic_2_2_0/src/main/java/dev/braintrust/instrumentation/anthropic/v2_2_0/TracingHttpClient.java — lines 340–368 (direct SDK path uses MessageAccumulator which handles all event types correctly)
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — no streaming tests exercise tool use or extended thinking responses

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                                No type

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                                No projects

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                                  No milestone

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