AI tools for “llm”
1,165 results (tools & skills) · 362 ms · understood as category: Chatbots & Assistants
Writes an evaluation plan and readiness gates for an LLM or AI feature before launch, including abstention rules, the model's boundary in the workflow, and a limitations section. Use when the user is building or…
Documentation for Diffbot — transform the raw web into structured knowledge. Skip to content Main Navigation HomeTechnologyDocumentationResourcesPricingSearchCtrlKReturn to topKnowledge without the cutoff Fetch…
Flatiron Health transforms oncology by leveraging real-world data and AI to provide actionable insights, improving patient outcomes and advancing cancer research globally.
KikiVoice is a free AI voice cloning platform for creators—99% similarity, 75+ languages, no sign-up required. Upload a few seconds of audio to generate and clone realistic voices in minutes.
01.AI helps enterprises make AI transformation a measurable operating result through Top-down strategy, delivery, secure deployment, and enterprise Agents.
Skip to main content Back to top Ctrl+K Site Navigation Installation Product Page Blog Forum Support Performance GitHub Site Navigation Installation Product Page Blog Forum Support Performance GitHub Section Navigation…
Honeycomb is the observability platform built for AI-era software. Fast queries, unified telemetry, and LLM observability. Used by Slack, Intercom, and Dropbox.
Penpot is the open-source design platform for teams building digital products at scale, enabling deeper collaboration across design, code, and AI workflows.
OpenCode is the open source coding agent that works where you do. Connect AI models from 200+ providers, including Claude, GPT and Gemini, or start free.
The best AI tool for real-time interviews and coding tests—100% invisible. Get stealthy, live help for job and technical interviews.
Baiqiao Zhang is a PhD student in Computer Science and Engineering at HKUST, advised by Prof. Xiaojuan Ma, working on human-AI alignment between developers and AI coding agents.
Use multiple model providers through one API. Compatible chat models accept OpenAI or Anthropic requests, and customer prices are public before signup.
Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom…
…so every agent turn is one trace in the Lens UI with its LLM calls, tokens, tool calls, memory and document retrievals, and which of them entered the prompt. Detects how the agent runs (LangGraph or ADK attach,…
…hand-written routing (keyword if/else chains, regex, or an LLM call that only picks a route) with a Redis Iris Intent Router through redis-iris, so a message maps to a defined intent and its dispatch target by example…
Use when the user wants to configure LLM integration for a DataRobot agent application. This skill helps to change LLM model, switch between the LLM integrations the project supports (LLM Gateway, a DataRobot-deployed…
Call Large Language Models through Domino LLM Gateway 2.0, the centrally governed gateway extension an administrator installs in front of external providers and Domino-hosted models. Covers finding and detecting the…
…and implement how code running in Domino reaches a Large Language Model, LLM Gateway 2.0 first where deployed (routed to domino-llm-gateway); otherwise Option A, an external provider (OpenAI, Anthropic, AWS Bedrock,…
Trace and evaluate GenAI applications (LLM calls, agents, RAG pipelines, multi-step AI systems) in Domino with the Domino agents SDK, using the @add_tracing decorator, span and trace evaluators, DominoAgentContext /…
Set up GenAI tracing for an LLM or agent application in Domino by checking the Domino SDK and MLflow requirements (the DSE needs nothing installed), then adding a tracing_setup.py helper, span evaluators, a config.yaml,…