Telemetry Harbor

Telemetry Harbor is a cloud-based observability tool built for monitoring AI agents and LLM-based applications. It provides developers with a lightweight telemetry SDK that tracks LLM prompts, outputs, errors, and intermediate steps in real time.

Rather than using traditional APM tools that are ill-equipped to handle LLM chains and agents, Telemetry Harbor offers a focused approach to tracing every step in an agent’s reasoning and behavior. This includes monitoring structured prompts, completion data, function calls, and tool usage.

It supports multiple frameworks and libraries and is designed for quick setup with minimal configuration.

Features

Telemetry Harbor includes a suite of purpose-built features for LLM observability:

• Real-Time Telemetry for LLMs:
  Capture and view logs, prompt structures, completions, and tool interactions as they happen.

• Tracing and Logging:
  Trace the full chain of events, including nested tool calls, function executions, and prompt variations across a session.

• Prompt and Output Inspection:
  Access filled prompts, template formats, and output responses from the LLM in a structured and readable format.

• Error Monitoring and Debugging:
  Get instant visibility into failed tool calls, malformed responses, and broken chains with detailed tracebacks.

• Integration with Frameworks:
  Out-of-the-box support for LangChain, AutoGen, OpenAI functions, and other Python-based orchestration tools.

• Lightweight SDK:
  The Python SDK integrates in minutes and enables automatic event logging with minimal overhead.

• Collaborative Tools:
  Share trace sessions and logs with your team to improve communication during development and testing.

• LLM-Agnostic:
  Works with any language model provider, including OpenAI, Anthropic, Mistral, and more.

How It Works

Telemetry Harbor operates through a combination of a lightweight Python SDK and a hosted web dashboard. Here’s how developers integrate and use it:

1. Install the SDK:
   Developers install the official Python package using pip:

   pip install telemetry-harbor


2. Initialize in Your Application:
   Configuration is straightforward—just import the SDK, authenticate with your API key, and wrap your agents or chains.

3. Track Telemetry Events:
   Use decorators or built-in functions to automatically track prompts, completions, tool usage, and errors.

4. Explore via Dashboard:
   Log in to the web dashboard to visualize traces, inspect data, and share sessions with teammates.

Setup takes under five minutes and fits naturally into most Python-based LLM stacks.

Use Cases

Telemetry Harbor is purpose-built for AI development workflows. Its most common use cases include:

• Debugging LLM Agents:
  Understand why an agent took a particular action by viewing real-time decision chains and tool usage.

• Prompt Engineering:
  Analyze how different prompt structures perform and refine them based on completion feedback.

• Monitoring Production Workflows:
  Detect issues in deployed agents through logs, errors, and performance metrics in real time.

• Team Collaboration:
  Share trace sessions for code reviews, bug reports, or collaborative testing.

• Comparative Testing:
  A/B test prompt formats, model providers, or tool configurations and analyze results.

Pricing

As of March 2025, Telemetry Harbor is in early access and completely free to use. Pricing tiers have not yet been made public, but a commercial plan is likely to follow after the early access phase.

Current Pricing Plan (Early Access):

• Free for all users

• No credit card required

• Full access to SDK and dashboard

• Unlimited tracing and logging

• Hosted deployment (no self-hosting needed)

You can request early access directly through the official site: https://telemetryharbor.com

Strengths

Telemetry Harbor provides several distinct advantages for AI-focused teams:

• Purpose-built for LLM agents and prompt workflows

• Easy integration with popular orchestration frameworks

• Lightweight SDK that doesn’t slow down development

• Real-time trace visualization

• Flexible and model-agnostic (works with any LLM provider)

• Clean, modern dashboard for easy exploration

• Supports collaboration between team members

Drawbacks

While Telemetry Harbor offers strong core functionality, there are some limitations to note:

• Still in early access, so certain features may be limited or evolving

• Currently no open-source version or self-hosting option

• Fewer third-party integrations compared to mature observability platforms

• No published pricing tiers for long-term commercial planning

• Lacks mobile or desktop apps (dashboard is web-based only)

Comparison with Other Tools

Telemetry Harbor focuses on being a lightweight, specialized tool for AI observability. Compared to traditional monitoring tools like Datadog or New Relic, it offers a more tailored experience for prompt workflows and agent traces.

In comparison to Langfuse, another LLM observability platform, Telemetry Harbor trades open-source flexibility for faster onboarding and simpler setup. It offers similar real-time logging and prompt visualization features but focuses more on a hosted, developer-friendly experience without complex configurations.

Customer Reviews and Testimonials

As Telemetry Harbor is currently in early access, formal customer reviews are limited. However, early adopters have shared positive feedback on platforms such as Product Hunt and Twitter.

Users highlight the platform’s ease of use, fast integration process, and helpful trace views as major benefits. Teams working on LangChain or AutoGen-based agents particularly appreciate the seamless SDK integration.

As the product matures, more structured reviews and success stories are expected to emerge.

Conclusion

Telemetry Harbor fills a critical gap in the AI development lifecycle by offering real-time telemetry and observability tailored to LLMs and AI agents. Its fast setup, clean interface, and compatibility with popular frameworks make it a go-to choice for teams seeking clarity and control over their AI workflows.

With a free early access tier and growing feature set, Telemetry Harbor is well-positioned as a reliable observability tool for developers building the next generation of intelligent applications.

Developers can request access and start tracing their LLM agents in minutes by visiting the official website: https://telemetryharbor.com