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[bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

Description

@braintrust-bot

Summary

The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

All embedding models on AWS Bedrock require InvokeModel:

  • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
  • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
  • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
  • Cohere Embed English v3 (cohere.embed-english-v3)
  • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

What is missing

BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
// Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
return;
}

When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

A minimal InvokeModel embedding span should capture:

  • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
  • braintrust.input_json: the inputText (or equivalent input field) from the request body
  • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
  • braintrust.span_attributes: {"type": "embedding"}

Braintrust docs status

Upstream sources

Local files inspected

  • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
  • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
  • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
  • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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    [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
    Skip to content

    [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

    Description

    @braintrust-bot

    Summary

    The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

    All embedding models on AWS Bedrock require InvokeModel:

    • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
    • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
    • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
    • Cohere Embed English v3 (cohere.embed-english-v3)
    • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

    None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

    What is missing

    BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

    privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
    // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
    return;
    }

    When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

    The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

    A minimal InvokeModel embedding span should capture:

    • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
    • braintrust.input_json: the inputText (or equivalent input field) from the request body
    • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
    • braintrust.span_attributes: {"type": "embedding"}

    Braintrust docs status

    Upstream sources

    Local files inspected

    • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
    • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
    • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
    • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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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('^' + ".*" + ' [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
      Skip to content

      [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

      Description

      @braintrust-bot

      Summary

      The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

      All embedding models on AWS Bedrock require InvokeModel:

      • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
      • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
      • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
      • Cohere Embed English v3 (cohere.embed-english-v3)
      • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

      None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

      What is missing

      BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

      privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
      // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
      return;
      }

      When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

      The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

      A minimal InvokeModel embedding span should capture:

      • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
      • braintrust.input_json: the inputText (or equivalent input field) from the request body
      • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
      • braintrust.span_attributes: {"type": "embedding"}

      Braintrust docs status

      Upstream sources

      Local files inspected

      • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
      • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
      • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
      • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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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('^' + ".*" + ' [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
        Skip to content

        [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

        Description

        @braintrust-bot

        Summary

        The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

        All embedding models on AWS Bedrock require InvokeModel:

        • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
        • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
        • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
        • Cohere Embed English v3 (cohere.embed-english-v3)
        • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

        None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

        What is missing

        BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

        privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
        // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
        return;
        }

        When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

        The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

        A minimal InvokeModel embedding span should capture:

        • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
        • braintrust.input_json: the inputText (or equivalent input field) from the request body
        • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
        • braintrust.span_attributes: {"type": "embedding"}

        Braintrust docs status

        Upstream sources

        Local files inspected

        • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
        • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
        • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
        • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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          No type

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          No branches or pull requests

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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" + ' [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
          Skip to content

          [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

          Description

          @braintrust-bot

          Summary

          The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

          All embedding models on AWS Bedrock require InvokeModel:

          • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
          • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
          • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
          • Cohere Embed English v3 (cohere.embed-english-v3)
          • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

          None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

          What is missing

          BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

          privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
          // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
          return;
          }

          When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

          The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

          A minimal InvokeModel embedding span should capture:

          • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
          • braintrust.input_json: the inputText (or equivalent input field) from the request body
          • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
          • braintrust.span_attributes: {"type": "embedding"}

          Braintrust docs status

          Upstream sources

          Local files inspected

          • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
          • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
          • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
          • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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            No type

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            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('^' + ".*" + ' [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
            Skip to content

            [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

            Description

            @braintrust-bot

            Summary

            The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

            All embedding models on AWS Bedrock require InvokeModel:

            • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
            • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
            • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
            • Cohere Embed English v3 (cohere.embed-english-v3)
            • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

            None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

            What is missing

            BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

            privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
            // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
            return;
            }

            When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

            The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

            A minimal InvokeModel embedding span should capture:

            • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
            • braintrust.input_json: the inputText (or equivalent input field) from the request body
            • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
            • braintrust.span_attributes: {"type": "embedding"}

            Braintrust docs status

            Upstream sources

            Local files inspected

            • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
            • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
            • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
            • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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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); } })(); })(); [bot] AWS Bedrock InvokeModel for embeddings not instrumented · Issue #134 · braintrustdata/braintrust-sdk-java · GitHub
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              [bot] AWS Bedrock InvokeModel for embeddings not instrumented #134

              Description

              @braintrust-bot

              Summary

              The AWS Bedrock instrumentation in BraintrustBedrockInterceptor explicitly skips all operations other than Converse and ConverseStream. This means embedding model calls — which use the InvokeModel API, not Converse — produce no spans, no input capture, and no token metrics.

              All embedding models on AWS Bedrock require InvokeModel:

              • Amazon Titan Text Embeddings v2 (amazon.titan-embed-text-v2:0)
              • Amazon Titan Text Embeddings v1 (amazon.titan-embed-text-v1)
              • Amazon Titan Multimodal Embeddings (amazon.titan-embed-image-v1)
              • Cohere Embed English v3 (cohere.embed-english-v3)
              • Cohere Embed Multilingual v3 (cohere.embed-multilingual-v3)

              None of these models support the Converse API — InvokeModel is the only invocation path for Bedrock embeddings.

              What is missing

              BraintrustBedrockInterceptor.beforeExecution() (lines 60–71) explicitly limits instrumentation to two operations:

              privatestaticfinalSet<String> INSTRUMENTED_OPERATIONS = Set.of("Converse", "ConverseStream");
              // Only instrument Converse and ConverseStream — other Bedrock operations// (InvokeModel, ApplyGuardrail, etc.) are not LLM calls we know how to tag.if (!INSTRUMENTED_OPERATIONS.contains(operationName)) {
              return;
              }

              When a user calls client.invokeModel(...) with an embedding model (e.g. amazon.titan-embed-text-v2:0), the interceptor returns immediately without creating a span. No span is created, no input text is captured, and no embedding output or token metrics are recorded.

              The BraintrustAWSBedrock.wrap() Javadoc on the sync builder explicitly states it traces "every converse call" and the async builder traces "every converseStream call" — embedding calls via InvokeModel are not in scope at all today.

              A minimal InvokeModel embedding span should capture:

              • braintrust.metadata: model ID (from the request URI path /model/{modelId}/invoke), provider
              • braintrust.input_json: the inputText (or equivalent input field) from the request body
              • braintrust.metrics: prompt_tokens from the response inputTextTokenCount (Titan) or meta.inputTokenCount (Cohere)
              • braintrust.span_attributes: {"type": "embedding"}

              Braintrust docs status

              Upstream sources

              Local files inspected

              • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustBedrockInterceptor.java — line 60: Set.of("Converse", "ConverseStream"); lines 63–71: beforeExecution returns without span for any other operation name including InvokeModel
              • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/main/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrock.java — Javadoc on both wrap() overloads confirms only Converse/ConverseStream are traced; no invokeModel wrapping exists
              • braintrust-sdk/instrumentation/aws_bedrock_2_30_0/src/test/java/dev/braintrust/instrumentation/awsbedrock/v2_30_0/BraintrustAWSBedrockTest.java — all tests use ConverseRequest and ConverseStreamRequest; no InvokeModelRequest test exists
              • braintrust-sdk/src/main/java/dev/braintrust/instrumentation/InstrumentationSemConv.javatagBedrockRequest() and tagBedrockResponse() only handle Converse-shaped JSON (messages, output.message, usage.inputTokens); InvokeModel request/response bodies have entirely different schemas

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