Audience
Developers and engineering teams building, operating, and debugging AI agents and LLM applications.
About telemetry.dev
telemetry.dev is an OpenTelemetry-native observability platform for AI agents and LLM applications. Developers can trace model calls, tool steps, retrievals, logs, and metrics; inspect failures, latency, token usage, and estimated cost; and compare activity by model, provider, and environment. It supports first-party TypeScript and Python SDKs, provider and framework integrations, and standard OTLP/HTTP ingest. Environment-level capture controls, SDK masking, and server-side redaction help teams manage stored prompt, response, and telemetry content.
Other Popular Alternatives & Related Software
Randoli
Randoli is an OpenTelemetry-native observability and cost management platform for Kubernetes, multicloud, hybrid, and AI/ML workloads. It brings infrastructure health, application performance, logs, metrics, traces, incidents, and cloud costs into one control plane, helping teams replace fragmented tools with a correlated view of system behavior. Its federated architecture separates the control plane from the data plane, analyzes telemetry locally, extracts relevant signals, and retrieves data on demand during investigations, reducing ingestion and egress while supporting data sovereignty. Randoli monitors clusters, nodes, pods, workloads, services, dependencies, latency, errors, throughput, and resource usage across AWS, Azure, Google Cloud, OpenShift, and on-premises environments. OpenTelemetry and eBPF provide automatic, low-overhead instrumentation, filtering, enriched telemetry, and real-time signal correlation.
Learn more
OpenLIT
OpenLIT is an OpenTelemetry-native application observability tool. It's designed to make the integration process of observability into AI projects with just a single line of code. Whether you're working with popular LLM libraries such as OpenAI and HuggingFace. OpenLIT's native support makes adding it to your projects feel effortless and intuitive. Analyze LLM and GPU performance, and costs to achieve maximum efficiency and scalability. Streams data to let you visualize your data and make quick decisions and modifications. Ensures that data is processed quickly without affecting the performance of your application. OpenLIT UI helps you explore LLM costs, token consumption, performance indicators, and user interactions in a straightforward interface. Connect to popular observability systems with ease, including Datadog and Grafana Cloud, to export data automatically. OpenLIT ensures your applications are monitored seamlessly.
Learn more
Dynatrace
The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.
Learn more
Arize Phoenix
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.
Learn more
Pricing
Starting Price:
$0/month
Pricing Details:
Prices are per organization per month. Free includes 30,000 ingestion units per month, 14-day retention, 1 project, and 2 seats. Pro is $25 per month with 500,000 ingestion units, 30-day retention, 5 projects, and 5 seats. Team is $50 per month with 2 million ingestion units, 90-day retention, unlimited projects and seats, and priority support. One normalized span, OTLP log record, or metric data point counts as one ingestion unit. Paid ingestion continues beyond the listed allowances without automatic overage charges; the vendor may contact consistently high-usage customers.
Free Version:
Free Version available.
Company Information
telemetry.dev
telemetry.dev/
Videos and Screen Captures
Other Useful Business Software
Build Agents and Models on One Platform
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Product Details
Platforms Supported
Cloud
