Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Fluq serves as an observability and orchestration platform for AI agents, providing teams with comprehensive real-time visibility and control over their operations. It functions as an integrated “single pane of glass” that meticulously tracks and visualizes every action performed by agents, including LLM calls, tool usage, file handling, token expenditure, and related costs through intricate waterfall traces. By utilizing a lightweight proxy to manage all agent requests, Fluq ensures minimal setup requirements and is compatible with any LLM provider or agent framework, facilitating seamless integration into existing systems without the need for code modifications. This platform empowers teams to analyze every decision made by an agent, investigate execution steps, and gain a clear understanding of how outcomes are derived, thereby enhancing transparency and ease of debugging. Furthermore, it incorporates governance capabilities such as policy enforcement, spending limits, approval gates, and access controls, which help mitigate risks like excessive costs, misuse of tools, and generation of incorrect outputs. Through these robust features, Fluq not only improves operational oversight but also fosters trust in AI systems by ensuring responsible usage and accountability.
Description
Kayba empowers AI agents to enhance their performance through experiential learning. By analyzing execution traces, it identifies and rectifies failures while assessing the effectiveness of these corrections. Rather than depending on generic evaluations that fail to clarify the reasons behind an agent's shortcomings, Kayba utilizes the agent's unique traces to identify failure modes and create tailored benchmarks relevant to the user's specific context, enabling teams to gauge improvements against authentic production failure patterns. With a simple one-line setup, Kayba integrates tracing into the agent, continuously monitors its performance, and promptly alerts users when any step ceases to be recorded. Since even effective tracing can degrade as teams implement changes, Kayba actively reviews existing tracing, highlights any broken elements, identifies the specific file requiring attention, and relays the issue to a coding agent via MCP. This coding agent then addresses the problem, after which Kayba confirms that the trace is fully functional again, ensuring ongoing reliability and performance enhancement. Ultimately, this process allows teams to maintain high standards of operational continuity while fostering continual improvement in their AI systems.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Anthropic
Yes
Claude
Yes
Claude Code
Yes
Codex CLI
Yes
CrewAI
Yes
Google Cloud Platform
Yes
LangChain
Yes
Model Context Protocol (MCP)
No
OpenAI
Yes
Integrations
Anthropic
No
Claude
No
Claude Code
No
Codex CLI
No
CrewAI
No
Google Cloud Platform
No
LangChain
No
Model Context Protocol (MCP)
Yes
OpenAI
No
Pricing Details
$29 per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fluq
Country
United States
Website
fluq.ai/
Vendor Details
Company Name
Kayba
Founded
2025
Country
United States
Website
kayba.ai/