AI TOOL PROFILE
Respan: LLM Engineering and AI Observability Platform
- Software Development
- Observability Platform
- Software companies
- Enterprise AI teams
- LLM engineers
- AI product managers
Pricing
Respan offers a free Pro tier with limits on logs and scores. A Team tier is available for $199 per month (billed yearly), and Enterprise options with custom SLAs are available upon request.
At a glance
- Best for
- Software companies, Enterprise AI teams, LLM engineers, AI product managers
- Key use cases
- Debugging AI Agent Failures, Quality Assurance for LLMs, Prompt Version Management, Multi-Model Deployment
- Integrations
- Python SDK, JS/TS SDK, OpenAI SDK, Vercel AI SDK, LangChain
- Official website
- Visit Respan official website
How AI is used
Respan is an engineering platform for teams building and deploying AI agents. It provides observability tools that capture prompts, tool calls, and responses from production traffic to help developers visualize execution paths for debugging.
The platform is designed for engineers and product teams who need to manage AI behavior as models update or prompts change. It includes a unified gateway that supports over 500 models, which may help reduce the complexity of managing multiple LLM providers.
Users can run evaluation workflows that combine human review, code checks, and LLM judges. The platform also provides version control for prompts and workflows, allowing teams to test changes against baselines before deploying to production.
Buyers should confirm their expected volume of logs and scores, as the free Pro tier has specific limits and the Team tier is billed annually.
Key Features
LLM Observability
Captures prompts, tool calls, and responses from production traffic to trace execution paths.
Evaluation Workflows
Supports combining human review, code checks, and LLM judges to measure quality against defined metrics.
Unified LLM Gateway
Provides a single endpoint to route and deploy across more than 500 models.
Prompt Optimization
Includes version control and a playground to test and compare prompt versions against product data.
Production Monitoring
Includes custom dashboards with over 80 graph types and alerts via Slack, email, or text.
Trace Replay
Allows users to open production traces in a playground to replay behavior and test fixes.
Use Cases
Debugging AI Agent Failures
Searching and filtering execution traces to identify where an agent's behavior shifted in production.
Quality Assurance for LLMs
Running evaluation flows using human and AI judges to validate response quality.
Prompt Version Management
Tracking changes to prompts and tools and comparing new versions against prior baselines.
Multi-Model Deployment
Using a single gateway to manage routing and provider abstraction for various LLMs.
Integrations
- Python SDK
- JS/TS SDK
- OpenAI SDK
- Vercel AI SDK
- LangChain
- LlamaIndex
- PostHog
FAQ
What does Respan do for AI agents?
- Respan helps teams trace agent behavior, evaluate quality using human and AI judges, and optimize prompts based on production traffic.
Which models are supported by the Respan gateway?
- The unified gateway supports over 500 models, providing provider abstraction and routing control.
What are the pricing options for Respan?
- There is a free Pro tier, a Team tier starting at $199/month (billed yearly), and custom Enterprise packages.
Source category: Software Development
Source subcategory: Observability Platform
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