Llm Ops

LLMOps Space is a global community for LLM practitioners, offering curated content, discussion forums, event recordings, and resources on production deployment, fine‑tuning, observability, and search optimization, plus networking via Discord and newsletters.

LiteLLM is an open‑source gateway that unifies access to 100+ LLMs through a single OpenAI‑compatible API, enabling provider fallback, cost tracking, tag‑based budgeting, guardrails, observability, and on‑prem or cloud deployment with a lightweight SDK.

The Full Stack offers a complete AI lifecycle curriculum, covering prompt engineering, LLMOps, deep learning, GPU selection, model monitoring, ethics, and MLOps. It trains developers, product managers, and researchers to design, build, and deploy AI applications.

LM Studio runs open‑source large language models locally on Mac (M‑series), Windows, and Linux, enabling private, offline inference. It offers command‑line and headless deployment, server‑side API, SDKs, a model hub, and LM Link for remote model access.

LLMStack is an open‑source platform that lets developers build AI agents and workflows without coding, supports multiple model providers, imports data from web, PDFs, audio, cloud services, and offers a collaborative React UI with granular permissions.

Upstage AI delivers enterprise LLMs and document-processing tools: low-latency and Japan-specific models, PDF/OCR parsing, structured information extraction, centralized search and Q&A with citations, REST/AWS/on‑prem deployment, and team collaboration for review.

Awan LLM offers unlimited token generation with Meta Llama 3.1 8B and 70B models, no censorship or caps, supporting persistent AI assistance, autonomous agents, roleplay, data processing, and code completion, hosted on owned GPUs for continuous use.

Portkey is an LLMOps platform offering a unified API and model catalog with observability, guardrails, RBAC, audit logs, prompt management, caching, routing and PII redaction to simplify multi-model integration, governance, monitoring, and cost optimization.

nOps is an AI-powered AWS Cloud management platform that automates cost allocation, optimization, tagging, and idle resource scheduling. It enhances efficiency and utilization through features like one-click migration, rightsizing, and offers valuable cloud cost optimization resources.

RunLLM is an AI platform that automates incident investigations by querying observability tools, correlating telemetry, and delivering root-cause analyses. It generates live runbooks and remediation recommendations to accelerate MTTR and create an auditable history of incidents.

ComplyOps is a compliance-focused PLM platform that automates regulatory management, streamlining certification tracking, documentation, and proactive compliance. It enhances product lifecycle efficiency, particularly in heavily regulated sectors like IoT and pharmaceuticals.

LM Studio is a local platform for running various large language models like Llama 2 and Mistral. It offers an offline environment, user-friendly interface, and supports multiple operating systems, enhancing privacy and allowing for simultaneous model execution.

LLM Pulse tracks brand visibility and search presence across LLMs (ChatGPT, Perplexity, Google AI), offering prompt tracking and suggestions, citation analysis, visibility scoring and competitor benchmarking, sentiment and response inspection, plus API and reporting exports.

OpenLIT is an open‑source observability platform for large‑language‑model applications, offering distributed tracing, real‑time monitoring, model evaluation, prompt versioning, fleet telemetry, and a zero‑code Kubernetes operator to integrate with major LLM providers and vector databases.

LLM Pricing Comparison lets developers and businesses compare token costs, context lengths, and modalities for major large‑language models. An interactive calculator estimates application expenses based on input/output token volumes, helping teams budget AI workloads accurately.

Latitude offers end‑to‑end observability for LLM deployments, recording inputs, outputs, and context. It enables manual annotations, automated error grouping, continuous evaluation, and prompt optimization with GEPA. OTEL telemetry and SDK integrations support major model providers.

LLMChat is an AI chat tool that offers a beta version experience with diverse AI models, personalized memory, custom assistant creation, and privacy-focused locally stored conversations. Explore features like plugin integration, tailored preferences, and prompt examples for various tasks.

BenchLLM evaluates language‑model applications via API or CLI, running JSON/YAML test suites with automated, interactive, or custom strategies. It supports OpenAI, LangChain, and any API, detecting regressions, generating reports, and visualizing results for continuous QA.

LLM Price Check aggregates LLM API models and provider details into sortable tables and a cost calculator, showing context windows, input/output cost metrics, and quality indicators to help developers and teams evaluate cost–performance tradeoffs.

Lopus Probe integrates sales, marketing, and product data for real-time GTM analytics, helping RevOps teams identify churn risks, enhance revenue forecasting, and simplify query management while providing timely insights without extensive BI requests.

LMQL is a Python‑based language that enables modular, constraint‑driven prompts for large language models. It supports nested queries, type‑enforced outputs, and runtime distribution checks while switching between backends such as llama.cpp, OpenAI, and Hugging Face.

Open‑source AI code‑review platform that plugs into GitHub, GitLab, Bitbucket, and Azure DevOps at the pull‑request level. Model‑agnostic, it runs custom rule sets, tracks technical debt, and delivers real‑time metrics without storing source code.

LLM SEO Monitor tracks keyword rankings and AI-generated SERP results across ChatGPT, Claude and Gemini, highlights content gaps and ranking opportunities, provides competitor analysis, automated alerts, exportable reports and API integrations for workflow automation.

Opper is a unified AI gateway and agent control plane that routes requests across 200+ models and modalities, offering centralized model routing, automated fallbacks, budget caps, LLM observability, a multi-provider testing playground, OpenAI-compatible SDK, and enterprise privacy/compliance control

OpenL Translate converts text, PDFs, images, and audio into 100+ languages, supporting dialects and emojis. Fast mode delivers short translations; Advanced mode offers precision for legal documents. It handles 150k characters and 40 scanned PDFs daily, processing locally for privacy.

EvalsOne is an evaluation platform for developers and researchers to assess LLM prompts, RAG, and agents using rule‑based or LLM‑based methods, human judgment, and customizable evaluators. It supports multiple APIs and integrates with major AI frameworks.

SkillOps is an AI-driven skill management platform that offers skill gap analysis, centralized skill matrices, and real-time capacity planning, helping organizations optimize workforce allocation, make informed hiring decisions, and improve operational efficiency.

Llama is a local AI tool that enables users to create customizable and efficient language models without relying on cloud-based platforms, available for download on MacOS, Windows, and Linux.

LLM Arena enables users to compare multiple large language models side-by-side, analyzing features like accuracy and capabilities. It supports up to 10 models, facilitating informed decision-making for researchers and developers in selecting the right LLM for their needs.

Unsloth Studio is a no-code web UI enabling local training, running, and exporting of open AI models like Qwen3.5 and NVIDIA Nemotron 3, simplifying experimentation for users without extensive technical expertise.

Puddl is an AI tool that provides insights and reduces costs for OpenAI users, offering a free sign-up option, detailed cost breakdowns, request token-level details, a sleek playground, Python library, and more.

LLMChess lets users play White against a GPT‑driven engine (GPT‑3.5‑Turbo or GPT‑4) with start/stop controls and a log pane. It offers un‑rated, platform‑rated, and FOA‑rated games, tournaments, and training tools like puzzles and post‑game analysis.

Klu accelerates LLM app development by enabling collaborative prompt design, version control, and automated evaluation across multiple providers. It offers unified observability, cost and drift tracking, private infrastructure, continuous monitoring, and integration with 50+ tools for scalable AI de

Micro LLM is a personal AI assistant that enhances productivity by managing tasks, scheduling appointments, and answering questions. It operates on devices like iPads and iPhones, offering offline functionality and an intuitive interface for seamless organization.

VLLM is a high-throughput, memory-efficient inference engine for Large Language Models, enabling faster responses and effective memory management. It supports multi-node configurations for scalability and offers robust documentation for seamless integration into workflows.

Ollm.com is a confidential AI gateway providing a single API to route across hundreds of LLM models and providers. It ensures enterprise security with zero data retention, confidential computing, and centralized key management for private, compliant AI workloads.

Morphllmis a high-throughput AI code-editing platform that applies LLM-generated multi-file edits, automated diffs, and merges at 10,500+ tokens/sec via edit_file and MCP/OpenAI-compatible SDKs (TypeScript, Python) for editor, CI, and agent integration. It combines warp-grep/warpsearch semantic co

LLMWare AI installs a lightweight client on PCs, providing instant access to 100+ AI models optimized for Intel and Qualcomm hardware. It supports RAG, auto‑tunes weights, runs locally without Wi‑Fi, and offers an admin console for monitoring, scaling, and audit logs.

AI and data analytics platform delivering end‑to‑end solutions across multiple sectors. It accelerates experimentation to production, supports data engineering, MLOps, LLMOps, and digital engineering, integrating Databricks, Snowflake, and Google Cloud to shorten insight‑to‑action time and boost eff

Unstract is an open‑source, no‑code platform that automates structured data extraction from unstructured documents using LLMs. It features reusable prompts, Human‑in‑the‑Loop verification, and dual‑LLM hallucination mitigation for secure, compliant use across finance, insurance, and healthcare.

LangWatch enables real‑time testing of LLM agents, offering simulation, prompt management, audit trails, and batch testing across models. It integrates with OpenTelemetry, LangChain, LangGraph, and supports self‑hosted, cloud, and role‑based access.

UbiOps offers a unified interface to deploy AI models on local, hybrid, or multi‑cloud environments. It provides version control, API management, resource prioritization, automated scaling, GPU provisioning, and Kubernetes orchestration, aiding cost, security, and compliance for production workloads

Falcon is an open‑source LLM family by the Technology Innovation Institute, spanning 0.09‑180 B parameters. It offers efficient Falcon‑H1 series, Arabic variants, multimodal Falcon‑3, and Falcon‑Mamba 7B, all under permissive licenses.

LastMile AI is a platform that perceives, remembers, and reasons from vision, speech, and text using LLMs as CPU and context as RAM. It connects to tools, automates workflows, anticipates needs, and surfaces actionable insights for teams and organizations.

Inception Labs' diffusion-based large language models (dLLMs) offer faster, more efficient, and cost-effective text generation than traditional autoregressive models. With built-in error correction, multimodal support, and structured output control, they excel in function calling and complex data ge

Pocketllm is an AI-powered personal document search engine that allows you to easily search and retrieve information from thousands of pages of PDFs and documents. It offers semantic search capability, fine-tuning search results and summarizing results.

OpenCode.ai is an open-source AI coding agent that runs directly in your terminal, IDE, or desktop. It connects to 75+ LLM providers, supports offline use, and enables multi-session collaboration for code review and debugging.

llmarena.ai offers side-by-side LLM comparisons across major providers, showing specs like context window, output capacity, modality and routing options. Filters and role-based categories help developers, ML engineers, product managers and researchers select suitable models.

Parea AI tracks LLM calls via Python/TypeScript SDKs, letting teams evaluate models on custom data, spot regressions, iterate prompts in a playground, monitor cost, latency and quality, and collect human annotations for fine‑tuning.

LLM SEO Report generates detailed SEO analyses for brands by assessing visibility across major AI platforms. It provides actionable recommendations to optimize online presence and adapt to evolving search trends influenced by AI technologies.