telemetry.dev's rivals

Provides observability, telemetry, and debugging for software and artificial intelligence agents.

Provides open-source observability for AI agents, enabling tracing, evaluation, and debugging. It automatically identifies agent failures by capturing LLM, tool, and sub-agent calls along with costs and tokens.

Provides observability and runtime control for production AI agents. It allows tracing LLM calls, enforcing runtime limits, and investigating failures. Developers can instrument processes using a lightweight SDK, and…

Traces, evaluates, and improves AI agents using production data.

Provides observability for AI agents built on the Vercel AI SDK, tracking costs, latency, tokens, traces, evaluations, and alerts.

Records, replays, and debugs AI agent executions by tracking LLM calls, tool calls, and errors.

Provides observability, evaluation, governance, and runtime policy enforcement for production AI agents.

Captures metadata about large language model API calls and displays aggregated cost, usage, and latency on a dashboard with spend alerting.

Provides a platform to trace LLMs and AI agents using OpenTelemetry. It enables running LLM evaluations and managing prompts. Developers can compare models and store API keys using Vault. The platform is available for…

Traces, debugs, and monitors AI agents built with Elixir and the BEAM.

Provides open-source observability for AI agents to monitor their behavior. It enables insights into AI agent self-healing capabilities.

Detects spiraling artificial intelligence agents through behavioral anomaly detection, agent replay, and cross-provider forensics.

Provides a continuous feedback loop from evaluations and monitoring for LLM applications. It aims to improve each release by automating the process of understanding performance.

Provides a platform to monitor AI API costs, tokens, usage, latency, errors, and request logs across different providers. It offers a unified dashboard for real-time metrics to track AI API costs and manage usage.

Provides tools for testing and evaluating AI agents to improve reliability for production use. It includes simulations, evaluations, observability, and governance features. Automated AI engineering assists with testing…

Provides routing and monitoring for AI applications to ensure reliability. It offers debugging and analysis capabilities for the applications of fast-growing AI companies.

Provides tools for observability, evaluation, tracing, and experimentation of AI agents. It helps identify issues and suggests fixes for AI agents.

Tracks the cost of individual language model calls and breaks down spending by customer, feature, and model.

Monitors AI agents in production to detect failures and pinpoint issues quickly. It helps trace problems and verify fixes. It offers real-time alerts for silent agent failures.

Provides real-time tracing, evaluation, and automated rollback for production artificial intelligence applications.