{"total":1085,"total_in_network":1085,"offset":0,"limit":50,"authenticated":false,"tier_2_hidden_from_public":true,"patterns":[{"slug":"security-security-site-missing-permissions-policy-header-724230ad","agent":"security","category":"security","trigger":"Site missing Permissions-Policy header","action":"Add a Permissions-Policy header restricting browser features your site doesn't use. Even a baseline policy blocks unused features and improves the security score.","code":"# Cloudflare/nginx/Vercel headers config:\nPermissions-Policy: camera=(), microphone=(), geolocation=(), interest-cohort=()\n\n# Next.js next.config.js:\nheaders: [{\n  source: '/(.*)',\n  headers: [{ key: 'Permissions-Policy', value: 'camera=(), microphone=(), geolocation=(), interest-cohort=()' }]\n}]","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"security-security-site-missing-referrer-policy-header-4550db61","agent":"security","category":"security","trigger":"Site missing Referrer-Policy header","action":"Add a Referrer-Policy header to control how much referrer info leaks to other origins. strict-origin-when-cross-origin is the modern default.","code":"Referrer-Policy: strict-origin-when-cross-origin\n\n# Or, for stricter privacy on internal docs:\nReferrer-Policy: same-origin","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"security-security-site-missing-x-content-type-options-header-d1bbaadd","agent":"security","category":"security","trigger":"Site missing X-Content-Type-Options header","action":"Add X-Content-Type-Options: nosniff to prevent MIME-type sniffing attacks. Single-line, no downside.","code":"X-Content-Type-Options: nosniff","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"security-security-site-missing-x-frame-options-header-4d4da3fa","agent":"security","category":"security","trigger":"Site missing X-Frame-Options header","action":"Add X-Frame-Options: DENY (or SAMEORIGIN if you embed yourself) to prevent clickjacking. Modern alternative is the frame-ancestors CSP directive — set both for defense in depth.","code":"X-Frame-Options: DENY\nContent-Security-Policy: frame-ancestors 'none';","confidence":0.99,"impact":"critical","tier":1,"verified":true},{"slug":"security-security-site-missing-hsts-strict-transport-security-header-39631536","agent":"security","category":"security","trigger":"Site missing HSTS (Strict-Transport-Security) header","action":"Add HSTS to force HTTPS on subsequent visits. Start with a short max-age, increase to 1 year once stable. Required for hsts-preload submission.","code":"# Cautious rollout (1 hour):\nStrict-Transport-Security: max-age=3600\n\n# Production-ready (1 year + subdomains + preload):\nStrict-Transport-Security: max-age=31536000; includeSubDomains; preload","confidence":0.99,"impact":"critical","tier":1,"verified":true},{"slug":"security-security-site-missing-content-security-policy-header-723cd178","agent":"security","category":"security","trigger":"Site missing Content-Security-Policy header","action":"Add a Content-Security-Policy header to block XSS and data exfiltration. Start in report-only mode to find violations before enforcing.","code":"# Step 1 — report-only to discover what you actually need:\nContent-Security-Policy-Report-Only: default-src 'self'; report-uri /csp-report\n\n# Step 2 — enforce:\nContent-Security-Policy: default-src 'self'; script-src 'self' 'unsafe-inline'; \\\n  style-src 'self' 'unsafe-inline'; img-src 'self' data: https:; \\\n  connect-src 'self' https://api.yourdomain.com; frame-ancestors 'none';","confidence":0.99,"impact":"critical","tier":1,"verified":true},{"slug":"security-security-site-missing-coop-coep-corp-cross-origin-isolation-d7f5a934","agent":"security","category":"security","trigger":"Site missing COOP / COEP / CORP cross-origin isolation headers","action":"Add Cross-Origin-Opener-Policy + Cross-Origin-Embedder-Policy + Cross-Origin-Resource-Policy to enable cross-origin isolation. Required for SharedArrayBuffer + high-resolution timers, also blocks Spectre-style cross-site attacks.","code":"Cross-Origin-Opener-Policy: same-origin\nCross-Origin-Embedder-Policy: require-corp\nCross-Origin-Resource-Policy: same-origin\n\n# If you embed third-party iframes, use:\nCross-Origin-Embedder-Policy: credentialless","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"security-security-mixed-content-detected-http-resources-on-https-pag-4c88b653","agent":"security","category":"security","trigger":"Mixed content detected (HTTP resources on HTTPS page)","action":"Find every HTTP <script>, <img>, <link>, <iframe> reference and switch to https:// (or protocol-relative //). Modern browsers block active mixed content silently — passive mixed content (images) downgrades the lock icon and breaks SEO trust.","code":"# Add CSP upgrade-insecure-requests to auto-upgrade all subresources:\nContent-Security-Policy: upgrade-insecure-requests\n\n# Locally, grep for http:// in your built assets:\ngrep -rn 'http://' dist/ | grep -v 'http://www.w3.org'","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"accessibility-accessibility-no-skip-to-content-link-7b2b0bdf","agent":"accessibility","category":"accessibility","trigger":"No skip-to-content link","action":"Add a visually-hidden skip link as the first focusable element in <body>. Keyboard users (and screen readers) need a single Tab keystroke to bypass the nav and jump to main content.","code":"<!-- Add as the very first child of <body> -->\n<a href=\"#main\" class=\"sr-only focus:not-sr-only\">Skip to content</a>\n\n<!-- Then ensure your <main> has the matching id: -->\n<main id=\"main\" role=\"main\">…</main>","confidence":0.99,"impact":"info","tier":1,"verified":true},{"slug":"accessibility-accessibility-no-main-landmark-5fd68a86","agent":"accessibility","category":"accessibility","trigger":"No <main> landmark","action":"Wrap your primary content in <main> (or set role=\"main\" on the wrapper). Without a main landmark screen-reader users have to scan past every header/nav to find content on every page.","code":"<body>\n  <header>…</header>\n  <nav aria-label=\"Main navigation\">…</nav>\n  <main id=\"main\" role=\"main\">\n    <!-- your route's content here -->\n  </main>\n  <footer>…</footer>\n</body>","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"accessibility-accessibility-no-nav-landmark-6c402c53","agent":"accessibility","category":"accessibility","trigger":"No <nav> landmark","action":"Wrap your primary navigation links in <nav aria-label=\"…\">. The aria-label is required when you have more than one <nav> on the page (e.g. main nav + footer nav).","code":"<nav aria-label=\"Main navigation\">\n  <ul>\n    <li><a href=\"/\">Home</a></li>\n    <li><a href=\"/docs\">Docs</a></li>\n  </ul>\n</nav>","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"seo-seo-site-has-no-json-ld-structured-data-3f48e1ca","agent":"seo","category":"seo","trigger":"Site has no JSON-LD structured data","action":"Add JSON-LD structured data to homepage. Minimum: Organization + WebSite. Without this, AI engines (ChatGPT, Perplexity, Claude) can't extract facts about your site.","code":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Organization\",\n  \"name\": \"Your Brand\",\n  \"url\": \"https://yoursite.com\",\n  \"logo\": \"https://yoursite.com/logo.png\",\n  \"sameAs\": [\"https://twitter.com/...\", \"https://github.com/...\"]\n}\n</script>","confidence":0.99,"impact":"high","tier":1,"verified":true},{"slug":"seo-seo-site-missing-og-url-tag-d065d4eb","agent":"seo","category":"seo","trigger":"Site missing og:url tag","action":"Add canonical og:url to homepage and every shareable page. Without it, social shares may use the URL with tracking params, splitting your social signal across duplicates.","code":"<meta property=\"og:url\" content=\"https://yoursite.com/page\">","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"seo-seo-site-has-no-sitemap-xml-7dc094db","agent":"seo","category":"seo","trigger":"Site has no sitemap.xml","action":"Create /sitemap.xml at the root of your site listing every public URL. Submit to Google Search Console. Reference it from /robots.txt.","code":"<!-- /sitemap.xml -->\n<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<urlset xmlns=\"http://www.sitemaps.org/schemas/sitemap/0.9\">\n  <url>\n    <loc>https://yoursite.com/</loc>\n    <changefreq>weekly</changefreq>\n    <priority>1.0</priority>\n  </url>\n  <url><loc>https://yoursite.com/about</loc></url>\n</urlset>\n\n# /robots.txt — add the line:\nSitemap: https://yoursite.com/sitemap.xml","confidence":0.99,"impact":"high","tier":1,"verified":true},{"slug":"seo-seo-site-missing-canonical-url-c54c7f00","agent":"seo","category":"seo","trigger":"Site missing canonical URL","action":"Add a canonical link tag to every page. Prevents duplicate-content penalties when the same page is reachable via multiple URLs (with/without trailing slash, query params, etc.).","code":"<link rel=\"canonical\" href=\"https://yoursite.com/this-page\">","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"seo-seo-site-has-no-meta-description-1af569d6","agent":"seo","category":"seo","trigger":"Site has no meta description","action":"Add a meta description, 150-160 characters, that hooks the reader and includes the page's primary keyword. This is what shows under your title in Google results.","code":"<meta name=\"description\" content=\"Concrete sentence about what the page offers, with the primary keyword early. Aim for 150-160 chars to fit in SERP previews.\">","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"seo-seo-site-has-no-robots-txt-or-empty-robots-txt-e3880a61","agent":"seo","category":"seo","trigger":"Site has no robots.txt or empty robots.txt","action":"Create /robots.txt at the root. At minimum, allow all + reference your sitemap. Without it, AI crawlers and search engines have no explicit policy to follow.","code":"# /robots.txt\nUser-agent: *\nAllow: /\n\nSitemap: https://yoursite.com/sitemap.xml\n\n# If you want to allow AI crawlers explicitly (recommended for visibility in AI engines):\nUser-agent: GPTBot\nAllow: /\n\nUser-agent: ClaudeBot\nAllow: /\n\nUser-agent: PerplexityBot\nAllow: /","confidence":0.99,"impact":"high","tier":1,"verified":true},{"slug":"seo-seo-site-title-too-short-under-30-characters-6e35b7e3","agent":"seo","category":"seo","trigger":"Site title too short (under 30 characters)","action":"Expand the title tag to 50-60 characters, leading with the page's main value proposition + brand. Short titles lose CTR in SERPs.","code":"<!-- Bad: 14 characters -->\n<title>My Site</title>\n\n<!-- Good: 55 characters, value + brand -->\n<title>Free Site Audit — Security, SEO & AEO | YourBrand</title>","confidence":0.99,"impact":"warning","tier":1,"verified":true},{"slug":"seo-aeo-site-has-no-llms-txt-eecc11e8","agent":"seo","category":"aeo","trigger":"Site has no llms.txt","action":"Create /llms.txt at the root. This is the emerging standard for AI engines (ChatGPT, Perplexity, Claude) to understand your site. Sites with quality llms.txt see 3-5x more AI citations.","code":"# /llms.txt\n# Your Brand Name\nhttps://yoursite.com\n\n## What is YourBrand?\nOne paragraph describing what you do, who you serve.\n\n## Key Features\n- Feature 1 — one-line description\n- Feature 2 — one-line description\n\n## API\nBase URL: https://api.yoursite.com\n- POST /v1/scan — what it does\n\n## Contact\n- https://yoursite.com/docs\n- https://github.com/yourorg","confidence":0.99,"impact":"high","tier":1,"verified":true},{"slug":"seo-aeo-site-missing-faqpage-schema-b227ab52","agent":"seo","category":"aeo","trigger":"Site missing FAQPage schema","action":"If your site has a FAQ or homepage Q&A blocks, mark them up with FAQPage JSON-LD. This is the single highest-leverage AEO signal — AI engines extract these directly.","code":"<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is X?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Plain-text answer of 1-3 sentences.\"\n    }\n  }, {\n    \"@type\": \"Question\",\n    \"name\": \"How does X work?\",\n    \"acceptedAnswer\": { \"@type\": \"Answer\", \"text\": \"...\" }\n  }]\n}\n</script>","confidence":0.99,"impact":"high","tier":1,"verified":true},{"slug":"performance-performance-site-has-no-favicon-91b0eb8c","agent":"performance","category":"performance","trigger":"Site has no favicon","action":"Add a favicon. Browsers fetch /favicon.ico whether you ship one or not — without it, every page request logs a 404 and tab/bookmark UX is broken.","code":"<!-- in <head> -->\n<link rel=\"icon\" type=\"image/svg+xml\" href=\"/favicon.svg\">\n<link rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/favicon-32.png\">\n<link rel=\"apple-touch-icon\" href=\"/apple-touch-icon.png\">","confidence":0.99,"impact":"low","tier":1,"verified":true},{"slug":"session-learnings-governance-shared-vps-project-isolation-165f448c","agent":"session_learnings","category":"governance","trigger":"shared_vps_project_isolation","action":"/opt/_standards/VPS_CRON_STANDARDS.md Section 0 formal isolation rule: each project only touches /opt/<own>/; no editing of other PROJECT: sections.","code":"","confidence":1.0,"impact":"critical","tier":1,"verified":true},{"slug":"security-telemetry-data-leaka-telemetry-collects-base-url-which-may-contain-sens-a61b14dd","agent":"security","category":"telemetry_data_leakage","trigger":"Telemetry collects BASE_URL which may contain sensitive information such as credentials, project names, or internal hostnames.","action":"Remove BASE_URL from the list of collected telemetry data points or ensure it is sanitized to exclude any sensitive substrings. Update the documentation to reflect this change.","code":"","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"mcp-mcp-integration-an-ai-agent-tool-suite-needs-to-be-extensible-with-66ab029d","agent":"mcp","category":"mcp_integration","trigger":"An AI agent tool suite needs to be extensible with external services (e.g., databases, APIs, custom tools) using a standardized protocol.","action":"Integrate the Model Context Protocol (MCP) to connect to MCP servers as additional tool providers. The agent can discover and call tools from multiple MCP servers, with a health chip in the UI showing connectivity status (e.g., 'MCP n/n' glyph in footer). Server configuration can be done via config files.","code":"","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"infrastructure-service-resilience-clickhouse-is-unavailable-causing-trace-ingestion--59b25f81","agent":"infrastructure","category":"service_resilience","trigger":"ClickHouse is unavailable causing trace ingestion to fail with 500 and data to be permanently lost","action":"Configure Langfuse to use PostgreSQL as the ingestion queue by setting LANGFUSE_INGESTION_QUEUE_TYPE=postgres and set LANGFUSE_INGESTION_QUEUE_MAX_RETRIES=-1 to keep retrying indefinitely. This ensures incoming traces are buffered in PostgreSQL during ClickHouse downtime and processed once ClickHouse recovers, preventing data loss and 500 errors.","code":"LANGFUSE_INGESTION_QUEUE_TYPE=postgres\nLANGFUSE_INGESTION_QUEUE_MAX_RETRIES=-1","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-model-loading-loading-a-gemma-3-checkpoint-with-automodelforcaus-cc5b7a71","agent":"ai_agents","category":"model_loading","trigger":"Loading a Gemma 3 checkpoint with AutoModelForCausalLM on transformers < v4.50 raises 'Transformers does not recognize this architecture' because the model type 'gemma3' is not yet in the release version.","action":"Install the compatible branch from GitHub: `pip install git+https://github.com/huggingface/transformers@v4.49.0-Gemma-3`, or use `AutoModelForImageTextToText` for multimodal usage. For text-only, use `AutoModelForCausalLM` from the main branch (available in v4.50+).","code":"# Install the required transformers branch\npip install git+https://github.com/huggingface/transformers@v4.49.0-Gemma-3\n\n# Or for multimodal loading:\nfrom transformers import AutoModelForImageTextToText\nmodel = AutoModelForImageTextToText.from_pretrained(\"path/to/gemma3\")","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"infrastructure-repo-structure-cloning-a-repository-fails-on-windows-because-a-di-c0798793","agent":"infrastructure","category":"repo_structure","trigger":"Cloning a repository fails on Windows because a directory path contains a trailing space or duplicate folder with invalid characters.","action":"Remove the invalid folder (e.g., folder with trailing space) from the repository. Ensure all file paths conform to cross-platform constraints (no trailing spaces, forbidden characters).","code":"","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-anthropic-api-deprec-using-chatanthropic-from-langchain-community-with--be5e430f","agent":"ai_agents","category":"anthropic_api_deprecation","trigger":"Using ChatAnthropic from langchain_community with Claude-3 model names (e.g., claude-3-opus-20240229) results in HTTP 400 error because it uses the old completions API instead of the Messages API.","action":"Upgrade to the langchain-anthropic package by running `pip install -U langchain-anthropic` and import ChatAnthropic from langchain_anthropic instead of langchain_community. This uses the proper Messages API and supports streaming.","code":"from langchain_anthropic import ChatAnthropic\n\nllm = ChatAnthropic(temperature=0.5, max_tokens=1000, model=\"claude-3-opus-20240229\", streaming=True)","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"security-encryption-jobs-sensitive-job-inputs-and-results-must-be-protected-b68fd3e5","agent":"security","category":"encryption_jobs","trigger":"Sensitive job inputs and results must be protected from relay observers when using elisym.","action":"Ensure jobs are submitted with a `providerPubkey` to enable targeted encryption. The SDK automatically encrypts the input using NIP-44 v2 (ChaCha20 + HMAC-SHA256) with an ECDH-derived conversation key. The provider decrypts and encrypts the result similarly. Broadcast jobs (no providerPubkey) remain plaintext.","code":"","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"audit-trail-bootstrap-onboarding-a-new-tenant-cannot-push-reports-without-an-api-ke-89193674","agent":"audit_trail","category":"bootstrap_onboarding","trigger":"A new tenant cannot push reports without an API key, but obtaining the key requires a server transaction. Onboard flow must be cheap and recoverable.","action":"Provide a POST /onboard endpoint that accepts {url, name, email} and returns {site_id, api_key}. Include a separate recover-key flow via email for loss recovery. Ensure the onboard endpoint is ratelimited but re-onboarding the same URL is free.","code":"","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"mcp-testing-utilities-i-am-developing-an-mcp-client-and-need-a-server-th-ccc7b4da","agent":"mcp","category":"testing_utilities","trigger":"I am developing an MCP client and need a server that exercises all protocol features to validate my implementation.","action":"Use the Everything MCP server, which implements prompts, tools, resources, sampling, and other MCP capabilities. Run it locally via npx or from source, then connect your client to test all features and ensure full protocol compliance.","code":"npx -y @modelcontextprotocol/server-everything","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"ai-agents-tool-call-id-validat-when-using-create-tool-calling-agent-with-an-input-770eceae","agent":"ai_agents","category":"tool_call_id_validation","trigger":"When using create_tool_calling_agent with an InputChat model that includes ToolMessage in the Union type for chat_history, and the chat history contains messages without 'tool_call_id' (e.g., HumanMessage), a KeyError occurs during pydantic validation.","action":"Either remove the specific type hints from the chat_history field (use `List` without Union) or apply a custom validator. The root cause is in the ToolMessage validator expecting 'tool_call_id' unconditionally; a fix is to change `values[\"tool_call_id\"]` to `values.get(\"tool_call_id\")` in langchain_core/messages/tool.py. Updating the library is also recommended.","code":"class InputChat(BaseModel):\n    chat_history: List = Field(..., description=\"The chat messages.\")\n    input: str","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"mcp-protocol-compatibili-i-need-to-run-an-mcp-server-with-a-client-that-req-7afca918","agent":"mcp","category":"protocol_compatibility","trigger":"I need to run an MCP server with a client that requires a specific transport (stdio, SSE, or streamable HTTP).","action":"Run the server with the appropriate transport argument: 'stdio' (default), 'sse' (deprecated as of 2025-03-26), or 'streamableHttp'. For development from source, use the corresponding npm scripts: npm run start:sse (deprecated) or npm run start:streamableHttp. The streamable HTTP transport is the recommended replacement for SSE.","code":"# stdio (default)\nnpx @modelcontextprotocol/server-everything stdio\n# SSE (deprecated)\nnpx @modelcontextprotocol/server-everything sse\n# Streamable HTTP (recommended)\nnpx @modelcontextprotocol/server-everything streamableHttp","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"infrastructure-version-incompatibil-using-langgraph-api-0-2-128-and-langgraph-runtime--596c25d9","agent":"infrastructure","category":"version_incompatibility","trigger":"Using langgraph-api==0.2.128 and langgraph-runtime-inmem==0.6.11 with the react-agent template via `langgraph dev` causes a TypeError: Configuration.__init__() got an unexpected keyword argument 'host' when initiating a chat.","action":"Upgrade langgraph-api to v0.2.129 or later and langgraph-runtime-inmem to v0.6.12 or later. This resolves the conflict where request headers are incorrectly passed as configuration parameters.","code":"# Upgrade commands:\npip install langgraph-api>=0.2.129 langgraph-runtime-inmem>=0.6.12","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"infrastructure-azure-openai-config-using-azurechatopenai-with-openai-1-2-3-and-langch-731e6e5f","agent":"infrastructure","category":"azure_openai_config","trigger":"Using AzureChatOpenAI with openai>=1.2.3 and langchain results in a 404 error 'Resource not found' due to incorrect Azure endpoint, deployment name, API version, or API key.","action":"Verify the Azure OpenAI endpoint (format: https://<resource>.openai.azure.com), deployment name (must match Azure portal deployment name), API version (e.g., 2023-05-15), and API key. Ensure the deployment exists and is ready. If using the openai Python package v1.2.3+, also check compatibility with the langchain version.","code":"from langchain.chat_models import AzureChatOpenAI\n\nBASE_URL = \"https://<your-resource>.openai.azure.com\"\nAPI_KEY = \"<your-api-key>\"\nDEPLOYMENT_NAME = \"<your-deployment-name>\"\n\nmodel = AzureChatOpenAI(\n    openai_api_base=BASE_URL,\n    openai_api_version=\"2023-05-15\",\n    deployment_name=DEPLOYMENT_NAME,\n    openai_api_key=API_KEY,\n    openai_api_type=\"azure\",\n)","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"infrastructure-dependency-managemen-importing-litellm-proxy-raises-modulenotfounderror-3c4bbcb3","agent":"infrastructure","category":"dependency_management","trigger":"Importing litellm.proxy raises ModuleNotFoundError for 'enterprise' after PR #10321.","action":"Pin litellm to version 1.67.2 or lower in your requirements until a patched version (1.67.4.post1) is released. Check available versions with 'pip index versions litellm'.","code":"litellm==1.67.2","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-tool-handling-repeated-identical-tool-function-names-in-consecut-18263441","agent":"ai_agents","category":"tool_handling","trigger":"Repeated identical tool function names in consecutive chat completion requests cause the model to generate tokens indefinitely, resulting in a hang.","action":"Avoid reusing the same function name across multiple requests to the same model session. Either append a unique suffix (e.g., timestamp) to each function name, or restart the model between requests. The bug occurs specifically on vllm v0.12.0 and is a regression from v10.2.","code":"# Workaround: make function name unique per request\nimport time\ntool_name = f\"get_weather_{int(time.time())}\"","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"infrastructure-llama4-attention-error-pad-argument-pad-failed-to-unpack-the-object-ac98aa04","agent":"infrastructure","category":"llama4_attention","trigger":"Error 'pad() argument pad failed to unpack the object at pos 2 with error type must be tuple of ints, but got NoneType' when calling model.generate with Llama-4 using attn_implementation='flex_attention'.","action":"Switch to attn_implementation='eager' in Llama4ForConditionalGeneration.from_pretrained. This workaround resolves the flex_attention mask padding issue and works for both text-only and multi-modal (image) inputs. Avoid using flex_attention for Llama-4 generation tasks.","code":"model = Llama4ForConditionalGeneration.from_pretrained(\n    model_id,\n    attn_implementation=\"eager\",\n    device_map=\"auto\",\n    torch_dtype=torch.bfloat16,\n)","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-tool-calling-conflic-when-using-bedrock-models-with-both-structured-out-6184f1e9","agent":"ai_agents","category":"tool_calling_conflict","trigger":"When using Bedrock models with both structured outputs (response_format) and tool calls, the parameters overwrite each other, causing one to fail.","action":"Update the Bedrock converse_transformation.py to properly merge parameters for both response_format and tools instead of overwriting. Ensure both features can be used simultaneously.","code":"","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-ollama-chunk-parsing-ollama-model-returns-thinking-field-in-streaming-c-0624da72","agent":"ai_agents","category":"ollama_chunk_parsing","trigger":"Ollama model returns 'thinking' field in streaming chunk causing APIConnectionError in litellm.","action":"Implement a stream modifier callback in the LiteLLM proxy router that detects and transforms chunks containing 'thinking' field, ensuring they are parsed correctly. Alternatively, create a custom Ollama Modelfile to adjust the model's output template to omit the 'thinking' field.","code":"async def my_stream_modifier(chunk: str):\n    try:\n        data = json.loads(chunk)\n        if 'thinking' in data and data['thinking']:\n            data['response'] = data.get('thinking', '') + data.get('response', '')\n            del data['thinking']\n        return json.dumps(data)\n    except:\n        return chunk","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"observability-otel-regression-span-using-phoenix-otel-register-with-auto-instrument-t-a6b71580","agent":"observability","category":"otel_regression_span_processor","trigger":"Using phoenix.otel.register with auto_instrument=True and batch=True in arize-phoenix-otel v0.10.0 causes UnboundLocalError due to multiple span processors.","action":"Upgrade arize-phoenix-otel to version 0.10.1 or later. The bug was a regression in v0.10.0 that introduced redundant span processors. The fix ensures proper handling of multiple processors and prevents the crash.","code":"# v0.10.0 buggy call:\nfrom phoenix.otel import register\nregister(auto_instrument=True, batch=True, verbose=True)\n# Fixed by upgrading package:\n# pip install arize-phoenix-otel>=0.10.1","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-sequential-thinking--complex-problem-requires-detailed-step-by-step-rea-926100d1","agent":"ai_agents","category":"sequential_thinking_decomposition","trigger":"Complex problem requires detailed step-by-step reasoning and analysis.","action":"Invoke the sequential_thinking tool multiple times, each call representing one thought. Set nextThoughtNeeded to true until reasoning is complete. Track progress with thoughtNumber and totalThoughts. Adjust totalThoughts dynamically as needed.","code":"{\n  \"thought\": \"First, let's break down the problem...\",\n  \"nextThoughtNeeded\": true,\n  \"thoughtNumber\": 1,\n  \"totalThoughts\": 5\n}","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"ai-agents-bedrock-llama2-infer-when-using-the-bedrock-llm-class-with-meta-llama2--97af91df","agent":"ai_agents","category":"bedrock_llama2_inference","trigger":"When using the Bedrock LLM class with 'meta.llama2-13b-chat-v1' model, a 'Malformed input request: 2 schema violations found' error occurs.","action":"Update the Bedrock integration to specifically handle the 'meta' provider. In the `_prepare_input_and_invoke` method, for the 'meta' provider, use 'prompt' as the input key instead of 'inputText' (used by other providers). Also ensure the `stop_sequences` key is omitted if unsupported. Upgrading to langchain >=0.0.336 may be insufficient; manual code patching is required until the fix is merged.","code":"# In Bedrock base class, provider-specific body:\nif provider == 'meta':\n    body = json.dumps({\n        'prompt': prompt,\n        **model_kwargs\n    })\nelse:\n    # existing logic for other providers\n    body = json.dumps({\n        'inputText': prompt,\n        **model_kwargs\n    })","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"infrastructure-config-control-auto-generated-claude-md-files-are-created-in-ever-90dee2ed","agent":"infrastructure","category":"config_control","trigger":"Auto-generated CLAUDE.md files are created in every subdirectory where files are read or modified, polluting the project and conflicting with manually maintained documentation.","action":"Introduce a setting (e.g., `CLAUDE_MEM_FOLDER_INDEX_ENABLED`) defaulting to `true` for backward compatibility. When set to `false`, the code that creates CLAUDE.md files should return early, preventing any auto-generation in subdirectories. This avoids filesystem pollution and complex `.gitignore` rules.","code":"// In worker-service.cjs, modify generation function E4 to check setting:\nconst folderIndexEnabled = process.env.CLAUDE_MEM_FOLDER_INDEX_ENABLED !== 'false';\nif (!folderIndexEnabled) return; // skip CLAUDE.md creation","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"infrastructure-container-permission-non-root-container-fails-to-run-prisma-database-mi-e7e6c5ba","agent":"infrastructure","category":"container_permissions","trigger":"Non-root container fails to run Prisma database migrations due to PermissionError when trying to create baseline migration directory in system package path (e.g., `/usr/lib/python3.13/site-packages/litellm_proxy_extras/migrations/`).","action":"Use a non-root image that has pre-installed dependencies and writes migration artifacts to a writable location (e.g., `/tmp` or a mounted emptyDir volume). Apply the fix from PR #13848 which moves the migration directory to a writable path. Alternatively, run the initial migration job once with the root image then switch to non-root for subsequent runs.","code":"","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"ai-agents-structured-output-re-when-using-llamaindex-s-structured-llm-the-respons-9a33c235","agent":"ai_agents","category":"structured_output_retry","trigger":"When using LlamaIndex's structured LLM, the response may fail to parse into a Pydantic model, causing AttributeError on model_dump_json().","action":"Implement a retry mechanism that catches Pydantic validation errors and re-generates the structured output up to N times. This ensures the output conforms to the expected model before proceeding.","code":"from pydantic import ValidationError\n\nfor attempt in range(3):\n    try:\n        response = sllm.chat(messages)\n        validated = output_cls.model_validate_json(response.content)\n        break\n    except (AttributeError, ValidationError):\n        continue\nelse:\n    raise Exception(\"Failed after retries\")","confidence":0.7,"impact":"warning","tier":1,"verified":false},{"slug":"ai-agents-structural-compressi-sequential-similar-operations-or-verbose-loops-for-234f644c","agent":"ai_agents","category":"structural_compression","trigger":"Sequential similar operations or verbose loops (for/while) consume tokens unnecessarily.","action":"Merge sequential operations into loops or higher-order functions like `.map()`, `.filter()`, `.reduce()`. Inline single-use functions. Use object/array spread instead of `Object.assign` or `concat`.","code":"// Before\nconst results = [];\nfor (let i = 0; i < items.length; i++) {\n  results.push(transform(items[i]));\n}\n\n// After\nconst results = items.map(transform)","confidence":0.7,"impact":"info","tier":1,"verified":false},{"slug":"infrastructure-gpu-compatibility-when-running-vllm-on-a-gpu-with-compute-capability-77e8db6d","agent":"infrastructure","category":"gpu_compatibility","trigger":"When running vLLM on a GPU with compute capability 12.0 (e.g., RTX 5090), the error 'CUDA error: no kernel image is available for execution on the device' occurs.","action":"Upgrade to vLLM v0.9.2 or later, which includes support for SM120 (compute capability 12.0). Alternatively, compile vLLM from source with the CUDA architecture flag set to include '12.0'. Ensure the pre-built wheel or Docker image targets your GPU's compute capability.","code":"pip install vllm==0.9.2  # or later; # for source: TORCH_CUDA_ARCH_LIST=\"12.0\" pip install vllm","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"mcp-sse-connection-handl-sse-connection-drops-with-body-timeout-error-after-67ccf2c8","agent":"mcp","category":"sse_connection_handling","trigger":"SSE connection drops with 'Body Timeout Error' after ~300 seconds of inactivity when using MCP SSE server in Cursor.","action":"Implement a keep-alive mechanism by periodically writing an SSE comment to the response stream. For example, set an interval (e.g., every 25 seconds) to write ': keepalive\\n\\n' to the response object. This prevents the connection from being terminated due to inactivity.","code":"const KEEP_ALIVE_INTERVAL_MS = 25000;\nconst sseConnections = new Map();\napp.get('/sse', async (req, res) => {\n  const transport = new SSEServerTransport('/messages', res);\n  const intervalId = setInterval(() => {\n    res.write(': keepalive\\n\\n');\n  }, KEEP_ALIVE_INTERVAL_MS);\n  // Store interval for cleanup\n});","confidence":0.7,"impact":"critical","tier":1,"verified":false},{"slug":"mcp-git-diff-staged-need-to-see-changes-that-are-staged-for-commit-5eda7b20","agent":"mcp","category":"git_diff_staged","trigger":"Need to see changes that are staged for commit.","action":"Use the git_diff_staged tool with repo_path and optionally context_lines (default 3). Returns diff output of staged changes.","code":"","confidence":0.7,"impact":"info","tier":1,"verified":false}],"facets":{"categories":["accessibility","adapter_interoperability","aeo","agent_adoption","agent_communication","agent_creation","agent_discovery","agent_executor_typing","agent_llm_parsing","agent_loop_handling","agent_memory_serialization","agent_parsing","agent_roles","agent_streaming_config","agent_tool_use","agent_tools_delegation","agentminds","algorithmic_art","algorithmic_art_philosophy","allow_dangerous_requests_parameter","anthropic_api_deprecation","anthropic_messages_api","anthropics","anti_pattern","api_authentication","api_compatibility","api_error_handling","api_handling","api_integration","api_latency_optimization","api_management","api_migration","api_race_condition","api_sequence","api_to_mcp_conversion","architecture_decision","argument_validation","async_engine_dead","async_error_handling","async_event_loop_management","async_generator_support","async_sqlite_connection_check","asyncio_cancellation_handling","atomic_blackboard","attention_backend_selection","attention_mask_override","auth_routing","auth_separation","authentication","authentication_billing_friction","authentication_with_private_repos","auto_documentation","automated_testing","auxiliary_loss_normalization","awesome","azure_ad_auth","azure_api_compliance","azure_auth","azure_model_config","azure_model_listing","azure_model_parameter_config","azure_openai_config","azure_openai_env_conflict","azure_openai_model_params","azure_openai_streaming_fix","azure_routing","backward_compatibility","batch_request_handling","bedrock_claude3_llm_invocation","bedrock_claude3_messages_api","bedrock_guardrail_handling","bedrock_llama2_inference","bedrock_region_routing","bedrock_tool_translation","blob_storage_media_handling","blocking_call","bootstrap_onboarding","brand_styling","browser_automation_configuration","browser_automation_setup","browser_bridge_api_access","build_compatibility","build_optimization","build_tooling","caching_structured_output","callback_handler_compatibility","cancellation_handling","capability_polling","causal_lm_past_key_values","chain_input_keys","change_simulation","chat_engine_behavior","chat_model_role_handling","chat_persistence_ordering","chat_template_handling","chat_template_mismatch","chat_template_usage","checkpoint_loading","checkpoint_serialization","checkpointer_bug","checkpointer_initialization","cjs_esm_compat","claude_thinking_parameter_proxy","cli_compatibility","cli_workaround","clickhouse_driver_missing","client_compatibility","client_initialization","client_session_management","client_timeout","cloudflare_workers_compatibility","code_quality","company_intelligence","compatibility_error","compliance","compliance_scanner","conceptual_seed_embedding","concurrency_handling","conditional_import_bug","config_control","config_management","config_validation","configurable_llm","configuration_authentication","configuration_defaults","configuration_deployment","configuration_management","configuration_sprawl","connection_error","connection_management","connection_pooling","consent_management","container_permissions","container_runtime_config","content_disposition_encoding","content_encoding","context_propagation","context_providers","context_size","cors_configuration","cost_control","cost_tracking","cost_tracking_configuration","cpu_compatibility","cpu_idle_busywait","credential_exposure_logs","credential_leakage","crew_execution","cross_environment_browser_detection","cross_environment_mcp","cross_language_analysis","cross_tenant_privacy","csi_hardware_compatibility","cuda_compatibility","cuda_dependency","cuda_driver_compatibility","cuda_illegal_memory_access","cuda_oom","custom_provider_instances","custom_trainer_compatibility","cxx11_abi_mismatch","dashboard_aggregation","dashboard_metrics_aggregation","dashboard_session_issue","data_integrity","data_privacy","data_retrieval","data_schema_consistency","data_transfer","database_orm_migrations","database_schema_configuration","debug_logging","debugging","decorator_type_preservation","decorator_type_safety","deepspeed_zero3_model_loading","default_model_config","delegate_work_tool_validation","dependency_analysis","dependency_bug","dependency_compatibility","dependency_conflict","dependency_global_pollution","dependency_management","dependency_pinning","dependency_resolution","dependency_scanning","dependency_upgrade","dependency_version_compatibility","dependency_version_conflict","dependency_version_constraints","dependency_version_fix","dependency_version_mismatch","dependency_version_pinning","dependency_versioning","deployment","deprecated_parameter","deprecation_handling","deprecation_migration","design_guidelines","design_principles","deterministic_generation","device_backend_mismatch","device_mapping","device_optimization","device_tensor_handling","direct_http","directory_access_control","distributed_evaluation_contiguous_error","distributed_gpu_allocation","distrib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