Respan
To be verifiedRespan (formerly Keywords AI) is a comprehensive LLM engineering platform designed to help teams build, monitor, and optimize AI agents. It unifies observability, evaluations, prompt optimization, and a unified AI gateway into a single interface. The platform allows developers to trace agent execution paths, evaluate performance using LLM-as-judge or human review, manage prompt versions, and access over 500 models through a single API endpoint. It is built to handle massive scale, supporting trillions of tokens while maintaining rigorous security standards like SOC 2 and HIPAA.
Unified LLM engineering platform for observability, evaluations, prompt optimization, and AI gateway services.
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respan.ai/
What is Respan?
Unified LLM engineering platform for observability, evaluations, prompt optimization, and AI gateway services.
Respan (formerly Keywords AI) is a comprehensive LLM engineering platform designed to help teams build, monitor, and optimize AI agents. It unifies observability, evaluations, prompt optimization, and a unified AI gateway into a single interface. The platform allows developers to trace agent execution paths, evaluate performance using LLM-as-judge or human review, manage prompt versions, and access over 500 models through a single API endpoint. It is built to handle massive scale, supporting trillions of tokens while maintaining rigorous security standards like SOC 2 and HIPAA.
Core Features
Self-driving observability and agent tracing for debugging production issues.
Integrated evaluation workflows combining human review, code checks, and LLM judges.
Unified AI Gateway supporting 500+ models with built-in routing and load balancing.
Prompt management system with version control and collaborative IDE.
Real-time monitoring with custom dashboards and automated alerts (Slack/Email).
Enterprise-grade security including SOC 2, HIPAA, ISO 27001, and GDPR compliance.
Popular Use Cases
- Tracing and debugging complex AI agent execution paths in real-time.
- Running A/B tests on prompts and models against production baselines.
- Scaling AI traffic across multiple providers using a single, reliable gateway API.
- Building automated evaluation pipelines to ensure AI quality before deployment.
Feature Comparison
A functional comparison based on maker input.
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
- To use Respan
- developers integrate the platform into their AI applications using Python or JS/TS SDKs. Once connected
- they can trace production logs in the dashboard
- set up evaluation workflows to measure agent quality
- use the collaborative IDE to optimize and version prompts
- and route traffic through the unified gateway to access various LLM providers with built-in failovers.
Pricing
Respan uses a freemium pricing model. Pricing and features may change over time.
Pro
$0
For getting started: 100k logs, 1k scores, 5 datasets, 2 evaluators, 5 prompts.
Team
$199 per month
For startups and growing teams: Everything in Pro plus unlimited datasets/evaluators/prompts, 10k scores, and private Slack support.
Enterprise
Contact us
For large organizations: Custom packages, volume discounts, HIPAA BAA, and dedicated support engineer.
Deal / Coupon
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Frequently Asked Questions
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Source
Official website / Community submitted
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