mirror of
https://github.com/fabro-sh/fabro.git
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70 lines
No EOL
4.8 KiB
JSON
70 lines
No EOL
4.8 KiB
JSON
{
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"timestamp": "2026-04-16T17:14:26.515826Z",
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"current_node": "greet",
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"completed_nodes": [
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"start",
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"greet"
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],
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"node_retries": {},
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"context_values": {
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"internal.node_visit_count": 1,
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"graph.rankdir": "LR",
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"failure_class": "",
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"last_response": "Hello! 👋 I'm Claude, an AI coding assistant made by Anthropic. I'm here to help you with software engineering tasks — things like debugging, adding features, refactoring code, explaining how thin",
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"current_node": "greet",
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"internal.fidelity": "compact",
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"last_stage": "greet",
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"internal.run_id": "01KPBMJ9Z0NZ14SE6M1P8TVVRE",
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"outcome": "success",
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"graph.goal": "Say hello and demonstrate a basic Fabro workflow",
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"failure_signature": "",
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"response.greet": "Hello! 👋 I'm Claude, an AI coding assistant made by Anthropic. I'm here to help you with software engineering tasks — things like debugging, adding features, refactoring code, explaining how things work, and more.\n\nThis message is a **test of the Fabro workflow engine**! 🚀\n\nHere's what's happening under the hood:\n\n- **Fabro** is an AI-powered workflow orchestration platform\n- Workflows are defined as **Graphviz graphs**, where each node is a *stage* (agent, prompt, command, conditional, human, parallel, etc.)\n- The workflow engine parses those graphs and executes each stage in sequence (or in parallel, depending on the graph structure)\n- This \"say hello\" step is itself a stage in a workflow — a simple demonstration that the engine is running correctly\n\n### What Fabro can do:\n| Feature | Description |\n|---|---|\n| 🤖 AI Agents | Coding agents with tools: Bash, Read, Write, Edit, Glob, Grep, WebFetch |\n| 🔄 Checkpoints | Pause, checkpoint, and resume workflows at any stage |\n| 🌐 Multi-provider LLM | Anthropic, OpenAI, Gemini, and OpenAI-compatible backends |\n| 👤 Human-in-the-loop | Workflows can pause and wait for human input |\n| 🔗 Integrations | GitHub Apps, Slack, MCP (Model Context Protocol) |\n\nIf you'd like to explore the codebase, run a workflow, fix a bug, or add a feature — just ask! I'm ready to dive in. 🛠️",
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"internal.retry_count.greet": 0,
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},
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"status": "success",
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"context_updates": {
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"last_stage": "greet",
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"last_response": "Hello! 👋 I'm Claude, an AI coding assistant made by Anthropic. I'm here to help you with software engineering tasks — things like debugging, adding features, refactoring code, explaining how thin",
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"response.greet": "Hello! 👋 I'm Claude, an AI coding assistant made by Anthropic. I'm here to help you with software engineering tasks — things like debugging, adding features, refactoring code, explaining how things work, and more.\n\nThis message is a **test of the Fabro workflow engine**! 🚀\n\nHere's what's happening under the hood:\n\n- **Fabro** is an AI-powered workflow orchestration platform\n- Workflows are defined as **Graphviz graphs**, where each node is a *stage* (agent, prompt, command, conditional, human, parallel, etc.)\n- The workflow engine parses those graphs and executes each stage in sequence (or in parallel, depending on the graph structure)\n- This \"say hello\" step is itself a stage in a workflow — a simple demonstration that the engine is running correctly\n\n### What Fabro can do:\n| Feature | Description |\n|---|---|\n| 🤖 AI Agents | Coding agents with tools: Bash, Read, Write, Edit, Glob, Grep, WebFetch |\n| 🔄 Checkpoints | Pause, checkpoint, and resume workflows at any stage |\n| 🌐 Multi-provider LLM | Anthropic, OpenAI, Gemini, and OpenAI-compatible backends |\n| 👤 Human-in-the-loop | Workflows can pause and wait for human input |\n| 🔗 Integrations | GitHub Apps, Slack, MCP (Model Context Protocol) |\n\nIf you'd like to explore the codebase, run a workflow, fix a bug, or add a feature — just ask! I'm ready to dive in. 🛠️"
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},
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"notes": "Stage completed: greet",
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"usage": {
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"input": {
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"usage": {
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"model": {
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"provider": "anthropic",
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"model_id": "claude-sonnet-4-6"
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},
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"tokens": {
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}
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"facts": {
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"provider": "anthropic",
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"total_usd_micros": 27978
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"start": {
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"status": "success",
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"usage": null
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}
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},
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"next_node_id": "exit",
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} |