ReviewUpdated 2026-09-09

Respan Review 2026: LLM Gateway, Observability, Evals, and Pricing

A research-based Respan review covering features, pricing, privacy, limitations, alternatives, and a practical buyer test.

By DiscoverAI Editorial TeamReviewed by DiscoverAI Editorial Review3 min readContent & SearchHow we evaluate
Paper-cut control room routing model calls through trace, evaluation, cost, and fallback stations
Original DiscoverAI editorial illustration. A unified LLM control plane is valuable only when its traces shorten investigations and its failure path has a tested bypass.

Bottom line

Respan, formerly Keywords AI, combines a multi-model gateway with tracing, cost monitoring, prompt management, datasets, evaluations, alerts, and production controls.

Editorial accountability

Who checked this guide

Meet the editorial team →
Evaluation type
Hands-on evaluation
Last materially checked
Evidence
4 listed sources

Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.

Editorial freshness

Checked this month

Pricing and material product claims were checked September 9, 2026.

Review evidence

What this guidance is based on

Editorial basis
Current first-party product, pricing, documentation, privacy, security, and terms material
Review type
Research-based product assessment
Material review date
September 9, 2026
Buyer test
Controlled workflow test covering quality, cost, privacy, permissions, reliability, and adoption risk

Important limits

  • DiscoverAI did not complete the proposed long-term paid deployment for this research-based review.
  • Features, prices, limits, rights, security controls, privacy terms, and provider data paths can change; verify the linked first-party pages before purchase.
In this guide
  1. Short answer
  2. Best for
  3. Look elsewhere if
  4. What Respan verifiably does
  5. Important limitations
  6. Respan pricing
  7. A fair buyer test
  8. Final verdict

Short answer

Respan is a credible shortlist choice for teams that want one control plane for model routing, agent traces, prompt releases, evaluation, spend, and operational alerts. The generous free allowance makes a realistic pilot possible. Its biggest architectural tradeoff is concentration: routing and logging every model call through one vendor improves visibility but also creates a sensitive data path and a potential dependency that must be tested under failure.

Best for

  • Teams operating multiple model providers
  • Developers debugging production AI agents
  • Organizations unifying gateway, prompts, evals, and spend

Look elsewhere if

  • Workloads that cannot send traces through a third party
  • Teams needing an evaluator to act as ground truth
  • Simple low-volume prototypes with no operations burden

What Respan verifiably does

Current first-party material covers a unified gateway for hundreds of models, provider fallback, retries, load balancing, caching, key storage, budgets, rate limits, OpenTelemetry-compatible tracing, multimodal logs, prompt versioning, datasets, deterministic and LLM-judge evaluators, human review, production sampling, custom dashboards, and alerts through Slack, email, or webhooks. The former Keywords AI URLs now redirect to the Respan brand, while the legal entity remains Keywords AI, Inc.

Important limitations

Prompts, outputs, tool arguments, retrieved content, and user identifiers may enter traces unless teams omit or mask them. Automated evaluators are not ground truth and require calibration against expert labels. Gateway outages, routing changes, cache semantics, provider-specific features, and retry behavior can alter quality or duplicate consequential actions. The $199 Team figure is annualized, and downstream model inference remains an additional cost.

Respan pricing

Respan lists a $0 Free plan with 100,000 logs, 1,000 scores, five datasets, two evaluators, five prompts, seven-day retention, and one workspace. Team is $199 per month when billed annually and adds unlimited datasets, evaluators, and prompts, 30-day retention, five members, and private Slack support. Extra usage is listed at $8 per 100,000 logs and $1 per 1,000 scores; additional Team seats are $15 per member. Enterprise and model-provider charges are separate or custom. Reviewed September 9, 2026.

A fair buyer test

Mirror five percent of sanitized production traffic for two weeks, then route a reversible workload through Respan with direct-provider bypass available. Compare trace completeness, evaluator agreement with 300 expert labels, fallback correctness, cache safety, p50 and p95 latency, gateway and provider errors, cost attribution, PII masking, export quality, and recovery during an injected outage. Calculate platform cost per investigated failure and per accepted output.

Final verdict

Respan earns a pilot for teams whose model traffic, evaluations, and prompts have outgrown separate dashboards and scripts. Use the free tier to prove trace quality and incident-time savings, keep a tested provider bypass, exclude sensitive fields by default, and grant production evaluators authority only after measuring false positives and false negatives.

This is a research-based product assessment, not a claim of hands-on long-term testing. Product, pricing, privacy, security, ownership, and usage claims were checked against the first-party sources below on September 9, 2026. Verify current terms and run the proposed test with approved data before adoption.

Reusable trial worksheet

Test Respan before you commit

Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.

0/7 checks complete
  1. Confirm the tool meets every must-have workflow and stakeholder requirement.

    Review starting point: Teams operating multiple model providers; Developers debugging production AI agents; Organizations unifying gateway, prompts, evals, and spend

  2. Run the same representative work you would use in production; do not score a polished demo.

    Review starting point: Mirror five percent of sanitized production traffic for two weeks, then route a reversible workload through Respan with direct-provider bypass available. Compare trace completeness, evaluator agreement with 300 expert labels, fallback correctness, cache safety, p50 and p95 latency, gateway and provider errors, cost attribution, PII masking, export quality, and recovery during an injected outage. Calculate platform cost per investigated failure and per accepted output.

  3. Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.

    Review starting point: Respan lists a $0 Free plan with 100,000 logs, 1,000 scores, five datasets, two evaluators, five prompts, seven-day retention, and one workspace. Team is $199 per month when billed annually and adds unlimited datasets, evaluators, and prompts, 30-day retention, five members, and private Slack support. Extra usage is listed at $8 per 100,000 logs and $1 per…

  4. Define an acceptance threshold, test known answers and edge cases, and record every correction.

    Review starting point: Editorial quality signals: features 4.3/5; AI quality 4.1/5. Validate these signals in your own work.

  5. Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.

    Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.

  6. Test the real handoffs, permissions, failure states, and export path your team depends on.

    Review starting point: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Mastra, OpenTelemetry

  7. Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.

    Review starting point: Creates a central traffic and telemetry dependency; Team price requires annual billing; Judges and fallbacks need independent validation

Open Decision Workspace

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Community evidence

How verified users put Respan to work

Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.

No approved community evidence yet. Be the first verified user to contribute.

Sources and verification

Product details and claims were checked against the following primary sources.

Frequently asked questions

What is Respan?

Respan is the new name for Keywords AI's LLM engineering platform, combining a model gateway, observability, evaluations, prompt management, and monitoring.

How much does Respan cost?

Respan lists a free plan, Team at $199 per month billed annually, metered log and score overages, and custom Enterprise pricing; model-provider usage is separate.

Can Respan route between AI models?

Yes. Its gateway supports a unified endpoint, provider fallbacks, retries, caching, load balancing, budgets, and rate limits.

Does Respan replace human evaluation?

No. Its automated and LLM-judge evaluations should be calibrated against expert labels before they block traffic or approve a release.

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