Traceloop
Claim this toolAccelerate LLM application development with continuous evaluation and monitoring.
Visit WebsiteFreemiumVisit Website
Reviews onG2
2 reviews trackedThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Quick setup with one line of code for immediate visibility.
Biggest con
The free tier has a limit of 50,000 spans per month, which might be restrictive for larger projects.
TL;DR - Traceloop
- Provides continuous evaluation and monitoring for LLM applications.
- Offers instant visibility into LLM performance and quality with built-in and custom metrics.
- Integrates quality checks into the development pipeline to catch issues early.
Pricing: Free plan available
Best for: Growing teams
What is Traceloop?
Traceloop is an LLM Reliability Platform designed to help developers ship LLM applications faster and with greater confidence. It transforms raw LLM logs into actionable insights, providing continuous feedback through evaluations and monitoring. The platform helps teams identify and resolve issues like model quality degradation and unexpected behavior before they impact users in production.
Traceloop offers instant visibility into prompts, responses, and latency with minimal setup. It includes built-in quality checks for faithfulness, relevance, and safety, which are automatically applied to real data. Users can also define custom evaluators by annotating examples and training the system to score output based on their specific use cases. These evaluations can be integrated into the development pipeline, running automatically on pull requests or in real-time during app execution, ensuring quality thresholds are met and issues are caught early. The platform is built on open standards like OpenTelemetry and supports various LLM providers, vector databases, and frameworks, making it compatible with diverse tech stacks.
Available on: Web
Pros & Cons
Pros
- Quick setup with one line of code for immediate visibility.
- Offers both standard and custom evaluation capabilities for tailored quality definitions.
- Integrates seamlessly into existing development workflows and tech stacks.
- Built on open standards, reducing vendor lock-in.
- Enterprise-ready with compliance and flexible deployment options.
Cons
- The free tier has a limit of 50,000 spans per month, which might be restrictive for larger projects.
- Requires understanding of LLM evaluation metrics to fully leverage custom evaluators.
Ratings Across the Web
5(2 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Live visibility into prompts, responses, and latencyBuilt-in quality checks (faithfulness, relevance, safety)Custom evaluator training with annotated examplesAutomated evaluations in CI/CD or real-timeOpenTelemetry and OpenLLMetry (open-source SDK) integrationSupport for Python, TypeScript, Go, RubyCompatibility with 20+ LLM providers (OpenAI, Anthropic, Gemini, Bedrock, Ollama)Compatibility with vector DBs (Pinecone, Chroma)
Pricing Plans
Free TrialPricing checked Jul 13, 2026
Free Forever
$0 / mo
Everything in all plans, plus:
- Up to 50K spans / month
- Up to 5 Seats
- 24 Hours Data Retention
Enterprise
Contact us
Everything in all plans, plus:
- >50K spans / month
- Unlimited Seats
- Custom Data Retention
- SOC 2 Compliance
- On-prem deployment option
- Dedicated slack support
Included in all plans
- Monitoring Dashboard
- Evaluation Dashboard
- CI/CD integration
- Prompt Management
Reviews
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Traceloop FAQ
How does Traceloop help in developing AI Assistants?
Traceloop accelerates the development of AI Assistants by providing continuous evaluation and monitoring of LLM applications. It transforms raw LLM logs into actionable insights, helping developers identify and resolve issues like model quality degradation before they impact users.
How does Traceloop compare to LangSmith?
Traceloop, like LangSmith, provides tools for LLM observability and evaluation, but Traceloop emphasizes its foundation on open standards like OpenTelemetry to reduce vendor lock-in. It also offers both built-in and custom quality checks that can be integrated directly into existing development pipelines.
What kind of user benefits most from Traceloop?
Teams focused on building and deploying LLM applications benefit most from Traceloop, especially those needing to ensure application reliability and performance. It is particularly useful for developers who require deep insights into prompt and response behavior and want to integrate quality checks into their CI/CD pipeline.
What are the limitations of Traceloop's free tier?
The free tier of Traceloop has a usage limit of 50,000 spans per month. This might be restrictive for larger projects or applications with high volumes of LLM interactions, requiring users to upgrade to a paid plan for more extensive usage.
How is Traceloop priced?
Traceloop is available on a free tier, which allows users to get started with basic monitoring and evaluation. For projects requiring more extensive usage or advanced features, paid plans are available.
Can Traceloop integrate with existing development workflows?
Yes, Traceloop is designed to integrate seamlessly into existing development workflows and tech stacks. It supports various LLM providers, vector databases, and frameworks, and its evaluations can run automatically on pull requests or in real-time during app execution.
How does Traceloop ensure the quality of LLM outputs?
Traceloop ensures LLM output quality through built-in checks for faithfulness, relevance, and safety, applied to real data. Users can also define custom evaluators by annotating examples, training the system to score output based on their specific use cases and quality thresholds.
Source: traceloop.com