- AI Engineering Teams: Deploy and manage production-grade AI agents.
- Startups: Move prototypes to scalable systems faster.
- Enterprises: Standardize AI agent development and deployment.
- ML Engineers: Debug, test, and evaluate agent behavior.
- Platform Teams: Manage inference infrastructure reliably.
- Builders Shipping AI: Reduce risk in production launches.
How to Use It?
- Connect agents: Integrate existing or new AI agents.
- Observe behavior: Monitor performance and decision traces.
- Debug & evaluate: Test agents across scenarios.
- Deploy systems: Push agents into production environments.
- Scale inference: Use distributed infrastructure for low latency.
- Iterate safely: Improve agents with measurable feedback.
- End-to-end agent lifecycle: Covers build, test, deploy, and scale.
- AI observability focus: Visibility into agent decisions.
- Production-first mindset: Designed for real-world deployment.
- Global inference infrastructure: Reliable low-latency execution.
- Mental model driven: Guides teams toward resilient systems.
- Reduced tool sprawl: One platform instead of many frameworks.
- Strong production focus.
- Excellent observability and debugging.
- Simplifies complex AI stacks.
- Scales reliably.
- Ideal for serious AI deployments.
- Clear system-oriented approach.
- Overkill for simple experiments.
- Requires AI engineering knowledge.
- Not aimed at casual users.
- Setup may need planning.
- Learning curve for new teams.
- Enterprise features may cost more.
Free
Free
Unlimited LLM requests
Rate Limit: 6 RPM, 20,000 TPM
Model: gpt-4.1, gemini-2.5-pro, gemini-2.5-flash, deepseek-r1
Geo-distributed LLM Providers with low latency
MCP & Function Calling Tools deployments
1-day API access log retention
Email support
Growth
$ 25.00
All Free plan features
Models: gpt-4.1, gemini-2.5-pro, gemini-2.5-flash, deepseek-r1, deepseek-v3, Claude, Groq, Cerebras and more
Rate Limit: 5,000 RPM, 800,000 TPM
MCP & Function Calling Tools deployments
LLM API and Tools Call Latency Breakdown
World traffic insights
90-day API access log retention
Advanced support
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai