[BOT ISSUE] Spring AI instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

Description

@braintrust-bot

Summary

The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

What is missing

1. Chat model providers beyond OpenAI and Anthropic

BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

privatestaticfinalStringOPENAI_BUILDER_CLASS =
"org.springframework.ai.openai.OpenAiChatModel$Builder";
privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
"org.springframework.ai.anthropic.AnthropicChatModel$Builder";

Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

The most impactful missing providers:

Spring AI moduleProviderAuto-instrumentation fallback?
spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

2. Embedding model instrumentation

BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
  • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
      }
      } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
      })();
      (function(){
      try {
      var __m = "github.com";
      var __re = new RegExp('^' + "github\\.com" + '
      
      Skip to content

      [BOT ISSUE] Spring AI instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

      Description

      @braintrust-bot

      Summary

      The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

      Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

      What is missing

      1. Chat model providers beyond OpenAI and Anthropic

      BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

      privatestaticfinalStringOPENAI_BUILDER_CLASS =
      "org.springframework.ai.openai.OpenAiChatModel$Builder";
      privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
      "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

      Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

      The most impactful missing providers:

      Spring AI moduleProviderAuto-instrumentation fallback?
      spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
      spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
      spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
      spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

      The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

      2. Embedding model instrumentation

      BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

      Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

      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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
      • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } 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 instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

          Description

          @braintrust-bot

          Summary

          The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

          Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

          What is missing

          1. Chat model providers beyond OpenAI and Anthropic

          BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

          privatestaticfinalStringOPENAI_BUILDER_CLASS =
          "org.springframework.ai.openai.OpenAiChatModel$Builder";
          privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
          "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

          Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

          The most impactful missing providers:

          Spring AI moduleProviderAuto-instrumentation fallback?
          spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
          spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
          spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
          spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

          The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

          2. Embedding model instrumentation

          BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

          Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

          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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
          • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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            Labels

            No labels
            No labels

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            No type

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

              [BOT ISSUE] Spring AI instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

              Description

              @braintrust-bot

              Summary

              The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

              Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

              What is missing

              1. Chat model providers beyond OpenAI and Anthropic

              BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

              privatestaticfinalStringOPENAI_BUILDER_CLASS =
              "org.springframework.ai.openai.OpenAiChatModel$Builder";
              privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
              "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

              Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

              The most impactful missing providers:

              Spring AI moduleProviderAuto-instrumentation fallback?
              spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
              spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
              spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
              spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

              The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

              2. Embedding model instrumentation

              BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

              Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

              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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
              • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

              Metadata

              Metadata

              Assignees

              No one assigned

                Labels

                No labels
                No labels

                Type

                No type

                Projects

                No projects

                  Milestone

                  No milestone

                  Relationships

                  None yet

                  Development

                  No branches or pull requests

                  Issue actions

                  , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } 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 instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

                  Description

                  @braintrust-bot

                  Summary

                  The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

                  Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

                  What is missing

                  1. Chat model providers beyond OpenAI and Anthropic

                  BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

                  privatestaticfinalStringOPENAI_BUILDER_CLASS =
                  "org.springframework.ai.openai.OpenAiChatModel$Builder";
                  privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
                  "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

                  Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

                  The most impactful missing providers:

                  Spring AI moduleProviderAuto-instrumentation fallback?
                  spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
                  spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
                  spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
                  spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

                  The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

                  2. Embedding model instrumentation

                  BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

                  Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

                  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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
                  • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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                      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } 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 instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

                      Description

                      @braintrust-bot

                      Summary

                      The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

                      Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

                      What is missing

                      1. Chat model providers beyond OpenAI and Anthropic

                      BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

                      privatestaticfinalStringOPENAI_BUILDER_CLASS =
                      "org.springframework.ai.openai.OpenAiChatModel$Builder";
                      privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
                      "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

                      Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

                      The most impactful missing providers:

                      Spring AI moduleProviderAuto-instrumentation fallback?
                      spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
                      spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
                      spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
                      spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

                      The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

                      2. Embedding model instrumentation

                      BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

                      Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

                      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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
                      • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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                      Metadata

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                        Labels

                        No labels
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                        No type

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                        No projects

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                          No milestone

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                          Issue actions

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

                          [BOT ISSUE] Spring AI instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

                          Description

                          @braintrust-bot

                          Summary

                          The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

                          Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

                          What is missing

                          1. Chat model providers beyond OpenAI and Anthropic

                          BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

                          privatestaticfinalStringOPENAI_BUILDER_CLASS =
                          "org.springframework.ai.openai.OpenAiChatModel$Builder";
                          privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
                          "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

                          Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

                          The most impactful missing providers:

                          Spring AI moduleProviderAuto-instrumentation fallback?
                          spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
                          spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
                          spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
                          spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

                          The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

                          2. Embedding model instrumentation

                          BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

                          Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

                          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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
                          • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

                          Metadata

                          Metadata

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                          No one assigned

                            Labels

                            No labels
                            No labels

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                            No type

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                            No projects

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                              No milestone

                              Relationships

                              None yet

                              Development

                              No branches or pull requests

                              Issue actions

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

                              [BOT ISSUE] Spring AI instrumentation limited to OpenAI and Anthropic chat models; no embedding model support #71

                              Description

                              @braintrust-bot

                              Summary

                              The Spring AI instrumentation module (springai_1_0_0) only wraps OpenAiChatModel.Builder and AnthropicChatModel.Builder. All other Spring AI chat model providers — including Google Vertex AI Gemini, Mistral, AWS Bedrock, and Azure OpenAI — are silently passed through with no instrumentation. Additionally, Spring AI's EmbeddingModel interface is not instrumented for any provider.

                              Unlike the analogous LangChain4j gap (#60), unsupported Spring AI providers generally cannot fall through to this repo's direct SDK auto-instrumentation modules. Spring AI providers use their own HTTP transport layers (Spring RestClient, Google Cloud libraries, Azure SDK, AWS SDK) rather than the upstream provider SDKs that the auto-instrumentation modules target (com.openai:openai-java, com.anthropic:anthropic-java, com.google.genai).

                              What is missing

                              1. Chat model providers beyond OpenAI and Anthropic

                              BraintrustSpringAI.wrap() (lines 17–39) checks the builder class name against two hardcoded strings:

                              privatestaticfinalStringOPENAI_BUILDER_CLASS =
                              "org.springframework.ai.openai.OpenAiChatModel$Builder";
                              privatestaticfinalStringANTHROPIC_BUILDER_CLASS =
                              "org.springframework.ai.anthropic.AnthropicChatModel$Builder";

                              Unrecognized builders are returned unmodified with a log.info() message. No BraintrustObservationHandler is registered, so no spans are created.

                              The most impactful missing providers:

                              Spring AI moduleProviderAuto-instrumentation fallback?
                              spring-ai-vertex-ai-geminiGoogle Vertex AI GeminiNo — uses google-cloud-vertexai, not com.google.genai
                              spring-ai-azure-openaiAzure OpenAINo — uses com.azure:azure-ai-openai, not com.openai:openai-java
                              spring-ai-bedrockAWS BedrockNo — uses software.amazon.awssdk:bedrockruntime
                              spring-ai-mistral-aiMistral AINo — uses Spring RestClient directly

                              The auto-instrumentation modules (SpringAIOpenAIInstrumentationModule, SpringAIAnthropicInstrumentationModule) similarly only register ByteBuddy advice for the two known builder classes.

                              2. Embedding model instrumentation

                              BraintrustObservationHandler implements ObservationHandler<ChatModelObservationContext> only. Spring AI also fires observations for embedding calls via EmbeddingModelObservationContext, but no handler is registered for these. This means all Spring AI embedding calls — including OpenAI and Anthropic embeddings through Spring AI — produce no Braintrust spans.

                              Spring AI's EmbeddingModel interface is implemented by OpenAiEmbeddingModel, VertexAiEmbeddingModel, BedrockEmbeddingModel, and others.

                              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 17–39 (hardcoded builder class checks; unrecognized builders passed through)
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustObservationHandler.java — implements ObservationHandler<ChatModelObservationContext> only; no EmbeddingModelObservationContext handler
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/OpenAIBuilderWrapper.java — OpenAI-specific tagging
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/AnthropicBuilderWrapper.java — Anthropic-specific tagging
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIOpenAIInstrumentationModule.java — only targets OpenAiChatModel$Builder.build()
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/main/java/dev/braintrust/instrumentation/springai/v1_0_0/auto/SpringAIAnthropicInstrumentationModule.java — only targets AnthropicChatModel$Builder.build()
                              • braintrust-sdk/instrumentation/springai_1_0_0/src/test/java/dev/braintrust/instrumentation/springai/v1_0_0/BraintrustSpringAITest.java — parameterized tests only cover OpenAI and Anthropic; no embedding tests exist

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                              Metadata

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                              No one assigned

                                Labels

                                No labels
                                No labels

                                Type

                                No type

                                Projects

                                No projects

                                  Milestone

                                  No milestone

                                  Relationships

                                  None yet

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                                  No branches or pull requests

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