AI Developer Tools

Respan

Respan is an LLM engineering platform that provides a unified gateway to route, trace, evaluate, and monitor AI agents and LLM calls.

What is Respan?

Respan is a comprehensive platform for LLM engineering, offering a single API gateway to route calls to over 500 models, with built-in observability, evaluations, prompt management, and monitoring tools.

Respan vs Similar AI Tools

Pricing ModelFree, PaidFreeFreeFree
Free Credits
Key Features
  • Unified API gateway for 500+ models with fallback and load balancing
  • Real-time tracing and observability for every LLM call
  • Evaluation workflows combining code checks, LLM judges, and human review
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Unified API simplifies integration with multiple LLM providers
  • Comprehensive observability with tracing and monitoring
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Can introduce additional latency compared to direct provider calls
  • Pricing may become expensive at high scale
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • Developers building LLM-powered applications
  • Teams scaling AI agents with observability needs
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use Respan?

  1. 1Sign up at Respan and get an API key from the dashboard.\n2. Route your LLM calls through Respan's gateway by sending OpenAI-style requests to a single endpoint.\n3. Use the dashboard to trace every call, monitor metrics like cost and latency, and set up evaluations.\n4. Manage prompts and deploy changes via the UI with version control.\n5. Set up alerts for cost, errors, or performance thresholds.

Respan Key Features

  • Unified API gateway for 500+ models with fallback and load balancing
  • Real-time tracing and observability for every LLM call
  • Evaluation workflows combining code checks, LLM judges, and human review
  • Prompt management and version control for deploying changes
  • Monitoring dashboard with spend control, alerts, and caching

Respan Use Cases

  • Building and scaling AI agents
  • Debugging production LLM issues
  • Optimizing prompt and model performance
  • Controlling costs and latency for LLM calls
  • Continuous monitoring of AI application health

Respan Pricing & Free Credits

Respan currently operates on a Free, Paid model.

Free Tier

Free

$0

Free tier with limited usage, including 100k tokens per month and basic features.

Paid Plans

Team

Contact for pricing

Paid plan for teams with higher limits, advanced evaluations, and priority support.

Free

$0

Free tier with limited usage, including 100k tokens per month and basic features.

Team

Contact for pricing

Paid plan for teams with higher limits, advanced evaluations, and priority support.

Respan Pros & Cons

Pros

  • Unified API simplifies integration with multiple LLM providers
  • Comprehensive observability with tracing and monitoring
  • Built-in evaluations and prompt management
  • Easy setup with many SDK integrations
  • Compliance with SOC 2, HIPAA, and GDPR

Cons

  • Can introduce additional latency compared to direct provider calls
  • Pricing may become expensive at high scale

What is Respan best for?

  • Developers building LLM-powered applications
  • Teams scaling AI agents with observability needs
  • Organizations requiring evaluation and monitoring of LLM calls

Respan FAQ

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