AI tools for “llm”
1,034 results (tools & skills) · 228 ms · understood as category: Chatbots & Assistants
…for eval setup, test datasets, AI scoring, agent checks, LLM judges, Braintrust migration, or Logfire Datasets & Experiments. Not for live traffic or infrastructure…
…inflated, why recordings have gaps, heatmaps are empty, LLM token counts are missing, why cookieless events vanish, or whenever the `ingestion_warning` health check fires. Explains severity triage (error = dropped,…
One API and one credential for frontier and open-source LLMs and embedding models, built into your Neon branch and powered by Databricks. Use when a user wants to call an LLM, generate embeddings, add AI/chat/an agent…
…errors, schema validation failures, empty or malformed LLM output, provider role/mode errors, history and context problems, MCP transport errors. Use when the user reports an error, traceback, or wrong behavior in…
…or the user asks about multi-agent orchestration or LLM-provider wiring in an atomic-agents…
Bright Data's MCP server, the tool layer that gives an LLM agent live web access with no shell. Use when wiring Bright Data tools into an AI app or agent framework that picks its tools at run time, when connecting…
Clay workflows — reduce a workflow's credit and LLM cost via the CLI (`clay workflows` commands). Identifies expensive patterns and suggests cheaper alternatives.
Clay workflows — simplify a workflow via the CLI (`clay workflows` commands): merge redundant nodes, cut unnecessary complexity, and replace LLM nodes with deterministic alternatives where possible.
…nodes in Clay workflows. Use when the user asks for custom LLM research, reasoning, classification, drafting, or summarization over records; when no existing routine fits a Claygent task; or when creating or editing a…
Meet OneLLM Office for everyday work on Mac, and OneLLM for iPhone and iPad. Create reports, choose local or online AI, and take your work with you.
Test results for 160 AI image, video and chat models: which deliver NSFW requests, how they score in a blind quality test, and what each one costs to run.
A curated directory of DeepSeek Harness (DSH) plugins: find, compare, and install community plugins for DeepSeek’s open-source agent framework.
…+ concrete improvement opportunities), SEO/technical, and LLM/AI-search visibility — plus Core Web Vitals, synthesized into a scored, evidence-bound report. Use when the user asks to "audit this site", "site audit",…
…check", "agent health", "AI errors", "agent performance", "LLM cost", or wants a proactive health report on their AI/LLM…
Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.
See LICENSE for license information. -->
See LICENSE for license information. -->
Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. Use for "vLLM on CPU", "zentorch serving", or an EPYC CPU endpoint, including on a host that also has AMD Instinct…
…quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request execution approval, and produce a quantized model.…
Benchmarks LLM inference and drives GPU kernel optimization with Magpie. Use when the user wants to benchmark vLLM, SGLang, or Atom; capture torch traces; post-process inference traces with TraceLens into prefill/decode…