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LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

Description

@braintrust-bot

Gap

patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

patch_litellm() (line 630–667) patches:

FunctionPatched?
litellm.completionYes
litellm.acompletionYes
litellm.responsesYes
litellm.aresponsesYes
litellm.embeddingNo
litellm.aembeddingNo (also missing from LiteLLMWrapper)
litellm.moderationNo
litellm.amoderationNo (also missing from LiteLLMWrapper)

LiteLLMWrapper (line 484–518) exposes:

  • completion() / acompletion() — sync + async
  • responses() / aresponses() — sync + async
  • embedding()sync only, no async
  • moderation()sync only, no async

What is missing

  1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
  2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

Braintrust docs status

not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

Upstream sources

Local files inspected

  • py/src/braintrust/wrappers/litellm.py:
    • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
    • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
    • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
    • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
    • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
  • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
  • Grep for aembedding in litellm.py: zero results

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    No milestone

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    LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
    Skip to content

    LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

    Description

    @braintrust-bot

    Gap

    patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

    Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

    patch_litellm() (line 630–667) patches:

    FunctionPatched?
    litellm.completionYes
    litellm.acompletionYes
    litellm.responsesYes
    litellm.aresponsesYes
    litellm.embeddingNo
    litellm.aembeddingNo (also missing from LiteLLMWrapper)
    litellm.moderationNo
    litellm.amoderationNo (also missing from LiteLLMWrapper)

    LiteLLMWrapper (line 484–518) exposes:

    • completion() / acompletion() — sync + async
    • responses() / aresponses() — sync + async
    • embedding()sync only, no async
    • moderation()sync only, no async

    What is missing

    1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
    2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

    Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

    Braintrust docs status

    not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

    Upstream sources

    Local files inspected

    • py/src/braintrust/wrappers/litellm.py:
      • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
      • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
      • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
      • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
      • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
    • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
    • Grep for aembedding in litellm.py: zero results

    Metadata

    Metadata

    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)) { // 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('^' + ".*" + ' LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
      Skip to content

      LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

      Description

      @braintrust-bot

      Gap

      patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

      Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

      patch_litellm() (line 630–667) patches:

      FunctionPatched?
      litellm.completionYes
      litellm.acompletionYes
      litellm.responsesYes
      litellm.aresponsesYes
      litellm.embeddingNo
      litellm.aembeddingNo (also missing from LiteLLMWrapper)
      litellm.moderationNo
      litellm.amoderationNo (also missing from LiteLLMWrapper)

      LiteLLMWrapper (line 484–518) exposes:

      • completion() / acompletion() — sync + async
      • responses() / aresponses() — sync + async
      • embedding()sync only, no async
      • moderation()sync only, no async

      What is missing

      1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
      2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

      Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

      Braintrust docs status

      not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

      Upstream sources

      Local files inspected

      • py/src/braintrust/wrappers/litellm.py:
        • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
        • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
        • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
        • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
        • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
      • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
      • Grep for aembedding in litellm.py: zero results

      Metadata

      Metadata

      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)) { // 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('^' + ".*" + ' LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
        Skip to content

        LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

        Description

        @braintrust-bot

        Gap

        patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

        Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

        patch_litellm() (line 630–667) patches:

        FunctionPatched?
        litellm.completionYes
        litellm.acompletionYes
        litellm.responsesYes
        litellm.aresponsesYes
        litellm.embeddingNo
        litellm.aembeddingNo (also missing from LiteLLMWrapper)
        litellm.moderationNo
        litellm.amoderationNo (also missing from LiteLLMWrapper)

        LiteLLMWrapper (line 484–518) exposes:

        • completion() / acompletion() — sync + async
        • responses() / aresponses() — sync + async
        • embedding()sync only, no async
        • moderation()sync only, no async

        What is missing

        1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
        2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

        Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

        Braintrust docs status

        not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

        Upstream sources

        Local files inspected

        • py/src/braintrust/wrappers/litellm.py:
          • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
          • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
          • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
          • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
          • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
        • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
        • Grep for aembedding in litellm.py: zero results

        Metadata

        Metadata

        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)) { // 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" + ' LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
          Skip to content

          LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

          Description

          @braintrust-bot

          Gap

          patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

          Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

          patch_litellm() (line 630–667) patches:

          FunctionPatched?
          litellm.completionYes
          litellm.acompletionYes
          litellm.responsesYes
          litellm.aresponsesYes
          litellm.embeddingNo
          litellm.aembeddingNo (also missing from LiteLLMWrapper)
          litellm.moderationNo
          litellm.amoderationNo (also missing from LiteLLMWrapper)

          LiteLLMWrapper (line 484–518) exposes:

          • completion() / acompletion() — sync + async
          • responses() / aresponses() — sync + async
          • embedding()sync only, no async
          • moderation()sync only, no async

          What is missing

          1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
          2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

          Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

          Braintrust docs status

          not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

          Upstream sources

          Local files inspected

          • py/src/braintrust/wrappers/litellm.py:
            • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
            • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
            • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
            • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
            • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
          • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
          • Grep for aembedding in litellm.py: zero results

          Metadata

          Metadata

          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)) { // 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('^' + ".*" + ' LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
            Skip to content

            LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

            Description

            @braintrust-bot

            Gap

            patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

            Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

            patch_litellm() (line 630–667) patches:

            FunctionPatched?
            litellm.completionYes
            litellm.acompletionYes
            litellm.responsesYes
            litellm.aresponsesYes
            litellm.embeddingNo
            litellm.aembeddingNo (also missing from LiteLLMWrapper)
            litellm.moderationNo
            litellm.amoderationNo (also missing from LiteLLMWrapper)

            LiteLLMWrapper (line 484–518) exposes:

            • completion() / acompletion() — sync + async
            • responses() / aresponses() — sync + async
            • embedding()sync only, no async
            • moderation()sync only, no async

            What is missing

            1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
            2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

            Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

            Braintrust docs status

            not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

            Upstream sources

            Local files inspected

            • py/src/braintrust/wrappers/litellm.py:
              • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
              • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
              • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
              • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
              • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
            • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
            • Grep for aembedding in litellm.py: zero results

            Metadata

            Metadata

            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)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + ' LiteLLM: `patch_litellm()` does not patch `embedding` or `moderation`; `aembedding` missing entirely · Issue #115 · braintrustdata/braintrust-sdk-python · GitHub
              Skip to content

              LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

              Description

              @braintrust-bot

              Gap

              patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

              Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

              patch_litellm() (line 630–667) patches:

              FunctionPatched?
              litellm.completionYes
              litellm.acompletionYes
              litellm.responsesYes
              litellm.aresponsesYes
              litellm.embeddingNo
              litellm.aembeddingNo (also missing from LiteLLMWrapper)
              litellm.moderationNo
              litellm.amoderationNo (also missing from LiteLLMWrapper)

              LiteLLMWrapper (line 484–518) exposes:

              • completion() / acompletion() — sync + async
              • responses() / aresponses() — sync + async
              • embedding()sync only, no async
              • moderation()sync only, no async

              What is missing

              1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
              2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

              Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

              Braintrust docs status

              not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

              Upstream sources

              Local files inspected

              • py/src/braintrust/wrappers/litellm.py:
                • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
                • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
                • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
                • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
                • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
              • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
              • Grep for aembedding in litellm.py: zero results

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                LiteLLM: patch_litellm() does not patch embedding or moderation; aembedding missing entirely #115

                Description

                @braintrust-bot

                Gap

                patch_litellm() — the function used by auto_instrument() — only replaces 4 of the 6 functions that LiteLLMWrapper instruments. Embedding and moderation calls made via litellm.embedding() or litellm.moderation() are silently untraced when using auto-instrumentation.

                Additionally, LiteLLMWrapper itself is missing aembedding() (async embeddings), creating an asymmetry with the rest of the wrapper which provides both sync and async variants for completion and responses.

                patch_litellm() (line 630–667) patches:

                FunctionPatched?
                litellm.completionYes
                litellm.acompletionYes
                litellm.responsesYes
                litellm.aresponsesYes
                litellm.embeddingNo
                litellm.aembeddingNo (also missing from LiteLLMWrapper)
                litellm.moderationNo
                litellm.amoderationNo (also missing from LiteLLMWrapper)

                LiteLLMWrapper (line 484–518) exposes:

                • completion() / acompletion() — sync + async
                • responses() / aresponses() — sync + async
                • embedding()sync only, no async
                • moderation()sync only, no async

                What is missing

                1. patch_litellm() should also patch litellm.embedding and litellm.moderation so auto-instrument users get tracing on these calls.
                2. LiteLLMWrapper should add aembedding() and amoderation() for async parity, and patch_litellm() should patch those as well.

                Embeddings are a core AI API surface used in RAG pipelines and semantic search. The EmbeddingWrapper class (line 423) already exists and works correctly — it's just not wired into patch_litellm().

                Braintrust docs status

                not_found — no LiteLLM-specific integration page was found at braintrust.dev/docs/integrations/ai-providers/litellm (404).

                Upstream sources

                Local files inspected

                • py/src/braintrust/wrappers/litellm.py:
                  • LiteLLMWrapper.__init__ (line 484–494) — creates _embedding_wrapper and _moderation_wrapper but no async variants
                  • LiteLLMWrapper class (line 496–518) — exposes embedding() and moderation() sync only
                  • patch_litellm() (line 630–667) — only patches completion, acompletion, responses, aresponses
                  • EmbeddingWrapper class (line 423) — fully implemented with metrics extraction
                  • TODO at line 446: "Add a flag to control whether to log the full embedding vector"
                • py/src/braintrust/wrappers/test_litellm.py — has embedding tests but only via wrap_litellm(), not via patch_litellm()
                • Grep for aembedding in litellm.py: zero results

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