AgentIndex icon
AgentIndex
agentlens logo
agentlens
★ 24
vs
llmkit logo
llmkit
★ 15

agentlens vs llmkit

agentlens: AgentLens is an open-source observability tool designed for AI agents, capturing every LLM call, tool invocation, and decision. It stands out with a tamper-evident audit trail, cryptographically verifying events to ensure compliance and data integrity.; llmkit: LLMKit is an open-source AI gateway and SDK suite designed to measure the costs of your AI agents and prevent requests from exceeding predefined budgets. It provides cost attribution, budget admission, and request evidence, ensuring efficient and controlled AI expenditure.

01

TL;DR

agentlens logo
agentlensObservability · ★ 24

Monitoring and debugging AI agent runs in real-time.

Read agentlens full review →
llmkit logo
llmkitObservability · ★ 15

Local cost monitoring for existing Python/TypeScript AI SDK calls

Read llmkit full review →
02

Side-by-Side Comparison

Field
agentlens logoagentlens
llmkit logollmkit
Category
Observability
Observability
Stars
★ 24
★ 15
License
MIT
MIT
Install Command
docker run -p 3400:3400 -e AUTH_DISABLED=true -e JWT_SECRET=dev-secret ghcr.io/agentkitai/agentlens
pip install llmkit-sdk
Updated
5d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Observability, AI Agents, Audit Trail
AI Gateway, Cost Management, Budget Control
03

Features

agentlens logoagentlens
01Python Auto-Instrumentation for 9 LLM providers
02Tamper-Evident Audit Trail with SHA-256 hash chains
03Real-Time Web Dashboard for monitoring and analytics
04LLM Call Tracking, cost aggregation, and latency measurement
05Cost Optimization with model recommendation engine
06Session Replay to step-through past agent runs
llmkit logollmkit
01Cost Attribution and Estimation
02Budget Admission and Enforcement
03Request Evidence and Analytics
04Multi-Language SDK and CLI Support
04

Use Cases

agentlens logoagentlens
↳Monitoring and debugging AI agent runs in real-time.
↳Ensuring compliance with regulations like EU AI Act Article 12 through verifiable audit logs.
↳Tracking and optimizing LLM costs and performance across agents and models.
↳A/B testing and benchmarking different agent variants for improved performance.
↳Analyzing past agent sessions with full context reconstruction for understanding behavior.
llmkit logollmkit
↳Local cost monitoring for existing Python/TypeScript AI SDK calls
↳Zero-code CLI tracking for quick cost summaries
↳Managing shared budgets and provider routing for multiple AI applications
↳Inspecting session data within MCP clients for cost and budget insights
FAQ

FAQ

What is the difference between agentlens and llmkit?
Both agentlens and llmkit are in the Observability category. agentlens has 24 stars, while llmkit has 15 stars.
Which is better, agentlens or llmkit?
The best choice depends on your use case. Choose agentlens if Monitoring and debugging AI agent runs in real-time., and llmkit if Local cost monitoring for existing Python/TypeScript AI SDK calls.
Is agentlens free or open source?
Yes, agentlens is open source on GitHub (MIT).
Is llmkit free or open source?
Yes, llmkit is open source on GitHub (MIT).
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Related

Alternatives to agentlens →Alternatives to llmkit →agentlens details →llmkit details →