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Agents Created
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Total Runs
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Successful Runs
Multi-Agent Orchestration Flow
Active model routing and guardrail execution layers mapped in real-time
A
Agent A (Router)
Entry Router Point
Active ModelLlama 3.3
StatusListening
B
Agent B (Writer)
Exec & Retrieval Node
✓Knowledge Base
✓Connections Active
✓Provider Bindings
Active LLM router
Free tierConnected via LiteLLM
Activity Heatmap (Recent Runs)
Historical runs frequency mapped across days and hours
Active period: Mon–Sun
12 AM4 AM8 AM12 PM4 PM8 PM
Sun
Mon
Tue
Wed
Thu
Fri
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LessMore
Hover cells to read data
Latest Executions
View History →Agent Performance (Success Rate)
Average successful task completion percentages over time
Active Model Distribution
Live LLM nodes| LLM Core | Role | Latency | Runs |
|---|---|---|---|
| Llama 3.3 70B | Reasoning | 1.24s | 18 |
| Mixtral 8x7B | Formatting | 0.85s | 9 |
| GPT-4o mini | Validation | 0.45s | 3 |
Developer Quick Start
Step 01
Add API Key
Configure Groq, OpenAI, or any provider for free LLM access
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Step 02
Create an Agent
Define your agent's persona, tools, and knowledge base
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Step 03
Add Knowledge
Upload documents to power your agent with RAG capabilities
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Step 04
Run & Observe
Chat with your agent and watch live traces in real-time
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