[BOT ISSUE] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

Description

@braintrust-bot

Summary

The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

What is missing

The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

# Image input (base64)
{"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
# Document input (base64 PDF)
{"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

Comparison with other wrappers

ProviderBinary input handlingImplementation
OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

Braintrust docs status

unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

Upstream sources

Local files inspected

  • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
  • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
  • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
  • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
  • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

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    No milestone

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    None yet

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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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

    Description

    @braintrust-bot

    Summary

    The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

    When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

    What is missing

    The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

    # Image input (base64)
    {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
    # Document input (base64 PDF)
    {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

    These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

    Comparison with other wrappers

    ProviderBinary input handlingImplementation
    OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
    Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
    AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

    Braintrust docs status

    unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

    Upstream sources

    Local files inspected

    • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
    • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
    • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
    • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
    • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

    Metadata

    Metadata

    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("// 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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

      Description

      @braintrust-bot

      Summary

      The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

      When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

      What is missing

      The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

      # Image input (base64)
      {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
      # Document input (base64 PDF)
      {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

      These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

      Comparison with other wrappers

      ProviderBinary input handlingImplementation
      OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
      Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
      AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

      Braintrust docs status

      unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

      Upstream sources

      Local files inspected

      • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
      • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
      • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
      • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
      • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

      Metadata

      Metadata

      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("// 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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

        Description

        @braintrust-bot

        Summary

        The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

        When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

        What is missing

        The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

        # Image input (base64)
        {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
        # Document input (base64 PDF)
        {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

        These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

        Comparison with other wrappers

        ProviderBinary input handlingImplementation
        OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
        Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
        AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

        Braintrust docs status

        unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

        Upstream sources

        Local files inspected

        • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
        • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
        • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
        • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
        • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

        Metadata

        Metadata

        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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

          Description

          @braintrust-bot

          Summary

          The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

          When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

          What is missing

          The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

          # Image input (base64)
          {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
          # Document input (base64 PDF)
          {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

          These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

          Comparison with other wrappers

          ProviderBinary input handlingImplementation
          OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
          Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
          AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

          Braintrust docs status

          unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

          Upstream sources

          Local files inspected

          • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
          • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
          • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
          • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
          • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

          Metadata

          Metadata

          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("// 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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

            Description

            @braintrust-bot

            Summary

            The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

            When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

            What is missing

            The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

            # Image input (base64)
            {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
            # Document input (base64 PDF)
            {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

            These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

            Comparison with other wrappers

            ProviderBinary input handlingImplementation
            OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
            Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
            AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

            Braintrust docs status

            unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

            Upstream sources

            Local files inspected

            • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
            • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
            • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
            • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
            • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

            Metadata

            Metadata

            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("// 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] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

              Description

              @braintrust-bot

              Summary

              The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

              When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

              What is missing

              The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

              # Image input (base64)
              {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
              # Document input (base64 PDF)
              {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

              These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

              Comparison with other wrappers

              ProviderBinary input handlingImplementation
              OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
              Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
              AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

              Braintrust docs status

              unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

              Upstream sources

              Local files inspected

              • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
              • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
              • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
              • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
              • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

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                , '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); } })(); })();
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                [BOT ISSUE] Anthropic: multimodal inputs (base64 images, PDFs) not processed into Attachments #208

                Description

                @braintrust-bot

                Summary

                The Anthropic integration logs base64-encoded multimodal input data (images, PDFs, documents) as raw strings in span inputs. The OpenAI and Google GenAI wrappers both convert equivalent binary data to Braintrust Attachment objects, which enables efficient storage and visual preview in the Braintrust UI.

                When a user sends an image or PDF to the Anthropic Messages API, the full base64 payload (often hundreds of KB to several MB) is written directly into the span input field. This bloats span storage and provides no visual preview, unlike the other two major provider wrappers.

                What is missing

                The _get_input_from_kwargs function in py/src/braintrust/integrations/anthropic/tracing.py (line 417) passes messages through without processing multimodal content blocks. Anthropic multimodal content blocks include:

                # Image input (base64)
                {"type": "image", "source": {"type": "base64", "media_type": "image/jpeg", "data": "<huge base64 string>"}}
                # Document input (base64 PDF)
                {"type": "document", "source": {"type": "base64", "media_type": "application/pdf", "data": "<huge base64 string>"}}

                These should be converted to braintrust.logger.Attachment objects (the same pattern used by OpenAI and Google GenAI wrappers), replacing the raw base64 data with a reference to efficiently stored binary content.

                Comparison with other wrappers

                ProviderBinary input handlingImplementation
                OpenAIConverts data URLs to Attachment objects_process_attachments_in_input() in oai.py (line 107)
                Google GenAIConverts bytes to Attachment objectsAttachment(data=data, filename=..., content_type=...) in google_genai/tracing.py (line 85)
                AnthropicLogs raw base64 as-is_get_input_from_kwargs() in anthropic/tracing.py (line 417) — no attachment processing

                Braintrust docs status

                unclear — The Anthropic integration page mentions multimodal content and attachments briefly but refers to a separate advanced tracing guide. No explicit statement about whether base64 inputs are converted to Attachments.

                Upstream sources

                Local files inspected

                • py/src/braintrust/integrations/anthropic/tracing.py_get_input_from_kwargs() (line 417) passes messages through without processing binary content; _start_span() (line 436) logs raw input directly; zero references to Attachment anywhere in the file
                • py/src/braintrust/integrations/anthropic/_utils.py — no attachment processing
                • py/src/braintrust/integrations/anthropic/test_anthropic.py — no tests for multimodal/image/PDF inputs
                • py/src/braintrust/oai.py_process_attachments_in_input() (line 107) demonstrates the expected pattern for converting data URLs to Attachment objects
                • py/src/braintrust/integrations/google_genai/tracing.pyAttachment(data=data, ...) (line 85) demonstrates the same pattern for binary content

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