Observability 34

Trainkore is a prompting and RAG platform for automating prompts and saving costs. Trainkore is a prompting and RAG (Retrieval-Augmented Generation) platform designed to automate prompts and save costs. It offers features like auto prompt generation, model switching, evaluation, observability, and a prompt playground. It integrates with various AI providers and frameworks like Langchain and LlamaIndex.

AI-powered practice test generator for various subjects and certification exams at a reasonable price. This website uses AI to generate practice tests on various subjects and topics. It offers practice tests and certification exams at a reasonable price, leveraging AI and automation. Exams are available for subjects like SRE, DevOps, Verilog, Distributed Computing, ML, AI, Data Analytics, Observability and Monitoring, Database Administration, and MDM.

Managed ClickHouse for AI-native developers to build real-time analytics APIs. Tinybird is an infrastructure and tooling platform designed for AI-Native Developers to build and ship real-time analytics APIs on ClickHouse®. It enables users to manage and query billions of rows of data with ease, skipping backend boilerplate and accelerating software development. The platform offers a hosted OLAP database, scalable and secure REST APIs for queries, an Events API for high-volume JSON streaming, and a comprehensive suite of developer tools including a CLI, local development environment, and integrations with various data sources and dev tools.

LiteLLM: LLM Gateway for managing and accessing 100+ LLMs in OpenAI format. LiteLLM is an LLM Gateway (OpenAI Proxy) designed to manage authentication, load balancing, and spend tracking across 100+ LLMs, all while maintaining the OpenAI format. It simplifies the process of using LLM APIs from various providers like OpenAI, Azure, Cohere, Anthropic, Replicate, and Google. LiteLLM offers consistent outputs and exceptions for all LLM APIs, along with logging and error tracking for all models. It provides features like cost tracking, batches API, guardrails, model access, budgets, LLM observability, rate limiting, prompt management, S3 logging, and pass-through endpoints.

AI-powered debugging for containerized apps, discovering and resolving live issues. Signal0ne is an AI debugging agent designed to discover live issues and resolve them by fixing bugs in code or configuration. It offers features like Docker extension for discovering local issues live and VS Code extension for resolving issues. Signal0ne aims to provide painless AI-powered debugging for containerized applications, acting as an on-call buddy to connect the dots and automate root cause analysis.

Portkey: AI control panel for observing, governing, and optimizing AI apps with AI Gateway and Observability Suite. Portkey empowers AI teams to observe, govern, and optimize their apps across the entire organization with just 3 lines of code. It offers an AI Gateway, Prompts, Guardrails, & Observability Suite, helping teams ship reliable, cost-efficient, and fast apps. Portkey integrates with Langchain, CrewAI, Autogen, and other major agent frameworks, making agent workflows production-ready. It also provides an MCP client to build AI agents with access to real-world tools.

Neurelo: AI-powered database interface for secure, real-time AI agent data access. Neurelo simplifies database experiences by providing instant AI-powered REST and GraphQL APIs, GitSchema, Observability, and more for MongoDB, Postgres, and MySQL. It empowers AI agents to securely access databases in real-time, simplifying data queries while ensuring robust access control and observability. Neurelo Connect is the missing link between AI agents and databases, offering secure and deterministic database access.

Operating platform for building, deploying, and monitoring on-premise GenAI applications. Dynamiq is an operating platform for GenAI applications, designed to help businesses build, deploy, and monitor on-premise GenAI applications to solve specific business needs, drive revenue, and boost competitiveness. It offers a low-code agentic builder, observability tools, a RAG toolbox, LLM deployment, and fine-tuning capabilities, all within the user's own infrastructure.

Digma AI provides continuous feedback to developers, identifying code issues early in the SDLC. Digma Continuous Feedback (CF) enables developers to uncover code runtime regressions, anomalies and code smells, right from their IDE. Digma resolves performance issues earlier in the SDLC, preventing incidents in production and engineering disruptions. Digma’s MCP Server makes AI Coding smarter. Digma highlights the affected areas and impacted components for each code change and Pull Request, eliminating the risk of breaking changes and consequent loss of engineering time. Digma goes beyond traditional monitoring and alerting, focusing on preempting issues.

QA and observability platform for reliable Voice AI agents. Roark is a QA + Observability Layer for Voice AI, designed to help teams ship reliable voice agents. It provides comprehensive tools for monitoring live calls, running simulations at scale, and transforming call failures into repeatable tests. Roark tracks over 40 built-in call metrics, offers multi-speaker analysis, and enables on-demand or automated evaluations. For pre-deployment, it allows stress-testing agents with simulated callers across various accents, languages, and speaking styles, using graph-based scenarios and configurable personas. Roark also features one-click native integrations with popular voice platforms like VAPI, Retell, LiveKit, and Pipecat Cloud.