LLM gateway and request routing
Route OpenAI-style calls through a single gateway, or use passthrough endpoints for provider-native SDKs, while every request is logged.
Respan
ClaimRespan is an LLM engineering platform for observability, evals, prompt management, and gateway routing. Monitor production traffic and control reliability in one workflow.
Overview
Respan is an LLM engineering platform for teams that want observability, evaluation, prompt management, and gateway routing in one place. The site positions it as a system for routing, observing, evaluating, optimizing, and deploying LLM traffic from a single workflow.
The product centers on production LLM operations: traces for each call, dashboards for usage and cost, evaluators for quality checks, and gateway controls for retries, fallbacks, caching, and rate limits. It is aimed at teams shipping AI agents and other LLM-powered features that need to track behavior and reduce production issues.
Features
Observability and trace inspection
Inspect calls in traces, view latency on spans, track logs, and filter by customer identifiers or metadata to understand production behavior.
Usage monitoring and alerts
Monitor requests, tokens, errors, latency, and cost in dashboards, with slices by model or user and alerts when thresholds are crossed.
Evaluation workflows
Create evaluation workflows that combine rule checks, LLM judges, human review, datasets, and experiments across prompt and model variants.
Prompt management and deployment
Manage prompts with version control, collaborative editing, one-click deployment, release management, and a model playground.
Reliability and spend controls
Handle retries, fallback models, load balancing, caching, key limits, and spend controls from the gateway and settings.
Use Cases
Operate an LLM gateway
Route model traffic through one endpoint, log each request, and use fallbacks or retries when a provider errors or rate-limits.
Monitor live production traffic
Watch traces, latency, token usage, and cost in dashboards so production regressions surface quickly.
Test prompts and models before release
Build datasets from traces or CSVs, then run experiments across prompt and model variants before merging changes.
Run structured evaluations
Combine rule checks, LLM judges, and human review in a single workflow to score real production traffic and offline samples.
Ship prompt changes with control
Use prompts, versions, rollout logic, and access to multiple models to promote workflows from the UI into production.
Pros and Cons
Pros
- Combines observability, evals, prompt tools, and gateway routing in one platform.
- Shows concrete operational controls such as fallbacks, retries, caching, spend limits, and alerts.
- Includes both production monitoring and offline/online evaluation workflows.
- Offers a free tier and a clear path to team and enterprise usage.
- States security and compliance items including ISO 27001, SOC 2, GDPR, and HIPAA-related options on the pricing page.
Cons
- The source does not provide a full integration catalog, so setup fit for specific stacks is unclear from these pages alone.
- Several capabilities are described at a high level on the homepage and pricing page, but detailed product docs are not included in the supplied evidence.
FAQ
What is Respan?
Respan is presented as an LLM engineering platform that combines observability, evals, prompt optimization, and an LLM gateway in one system.
Does Respan have paid plans?
The source shows a Free plan, a Team plan, and an Enterprise plan. The Team plan is listed at $199 per month billed yearly, while Enterprise is contact sales.
Is there a free tier?
Yes. The pricing page lists a free tier with logs, scores, datasets, evaluators, and prompts, plus a Team plan that adds unlimited datasets, evaluators, and prompts.
Does Respan document all supported integrations on these pages?
The product includes an annotation of OpenTelemetry support, but the source does not provide detailed integration documentation or a full provider list.
What workflows does Respan emphasize?
The homepage and pricing page emphasize tracing, dashboards, evaluation workflows, prompt management, and gateway features such as fallbacks and caching.
Quick Facts
- Category
- LLM Engineering Platform
- Website
- keywordsai.co
- Primary use
- Observability, evals, prompt management, and gateway routing for LLM apps
- Plans
- Free, Team, Enterprise
- Team plan
- $199 per month, billed yearly
- Deployment
- Cloud; Enterprise mentions self-hosted