') + ')', '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('^' + ".*" + ', '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" + ', '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('^' + ".*" + ', 'i'); if (__m === '*' || __re.test(location.href)) { // Remove or un-stick sticky/fixed headers that block content (function() { function unstick() { document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) { if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') { el.style.position = 'static'; el.style.top = 'auto'; el.style.zIndex = 'auto'; } }); } unstick(); var observer = new MutationObserver(unstick); observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] }); })(); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); })(); [bot] Cohere: v1 Client.generate() / generate_stream() text generation not instrumented · Issue #488 · braintrustdata/braintrust-sdk-python · GitHub
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[bot] Cohere: v1 Client.generate() / generate_stream() text generation not instrumented #488

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[bot] Cohere: v1 Client.generate() / generate_stream() text generation not instrumented#488
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bot-automationintegration: cohere

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@braintrust-bot
braintrust-bot
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opened on Jun 3, 2026

Summary

The existing Cohere integration instruments chat, chat_stream, embed, and rerank for both v1 (BaseCohere) and v2 (V2Client), plus audio.transcriptions.create.

The v1 text generation endpoint — Client.generate() and Client.generate_stream() — is entirely absent from the integration:

MethodDescription
cohere.Client.generate()Synchronous free-form text generation (non-chat)
cohere.Client.generate_stream()Streaming variant
cohere.AsyncClient.generate()Async variant
cohere.AsyncClient.generate_stream()Async streaming variant

These methods are part of BaseCohere (the shared base for Client and AsyncClient) and are still present in cohere==7.0.2 (the current matrix latest).

What's missing

  • Wrapper function(s) for generate / generate_stream in py/src/braintrust/integrations/cohere/tracing.py
  • FunctionWrapperPatcher classes targeting BaseCohere.generate and BaseCohere.generate_stream (sync and async) in py/src/braintrust/integrations/cohere/patchers.py
  • Wiring into the composite patcher / CoherePatcher and the auto_instrument() path
  • Cassette-backed tests under py/src/braintrust/integrations/cohere/cassettes/<version>/

Upstream sources

  • cohere.base_client.BaseCohere.generate — shared sync surface
  • cohere.base_client.BaseCohere.generate_stream — shared streaming surface
  • Cohere Generate API docs: https://docs.cohere.com/reference/generate
  • Current matrix version: cohere==7.0.2 ([tool.braintrust.matrix] in py/pyproject.toml)

Braintrust docs

The Braintrust integrations docs cover LLM call tracing with input (prompt), output (generated text), metadata (model, temperature, max_tokens, stop_sequences), and metrics (prompt_tokens, completion_tokens, total_tokens). The generate endpoint maps cleanly to this shape.

Local files inspected

  • py/src/braintrust/integrations/cohere/patchers.py — current patcher list (chat, embed, rerank, audio — no generate)
  • py/src/braintrust/integrations/cohere/tracing.py — wrapper implementations
  • py/pyproject.toml — matrix version cohere==7.0.2

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