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Hardware Advisor Agent playbook step1_basic.py #211

@amd-pworfolk

Description

@amd-pworfolk

The step1_basic.py example fails:

(base) (.venv) PS C:\Users\pworfolk\projects\2025_12_gaia> python step1_basic.py

🤖 Processing: 'What size LLM can I run?'
==================================================


📝 Step 1: Thinking...
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 PLANNING: Creating or refining plan                                                                                │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

[2026-01-20 09:25:35] | WARNING | gaia.agents.base.agent._validate_plan_required | agent.py:2161 | No plan found in step 1 response. The agent should create a plan for all tasks.

╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ ⚠️  No plan found in step 1 response. The agent should create a plan for all tasks.                                    │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

╭─────────────────────────────────────────────────────── ℹ️  Info ───────────────────────────────────────────────────────╮
│ Requesting a detailed plan before proceeding                                                                          │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

🧠 Thought: I need to create a detailed plan to help the user determine what size LLM they can run. The first step is to
ask for their hardware specifications, particularly GPU memory and CPU details. I'll use the hardware_query tool to get
this information.
🎯 Goal: Determine user's hardware specifications to recommend appropriate LLM size

📋 Plan:
  1. ► Use tool 'hardware_query' with args: {} ◄ (current step)


📝 Step 2: Thinking...
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 EXECUTING PLAN: Step 1/1                                                                                           │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

📋 Plan:
  1. ► Use tool 'hardware_query' with args: {} ◄ (current step)

🧠 Thought: Executing step 1 of the plan
🎯 Goal: Following the plan to What size LLM can I run?

🔧 Executing operation
  Tool: hardware_query
[2026-01-20 09:25:38] | ERROR | gaia.agents.base.agent._execute_tool | agent.py:760 | Tool 'hardware_query' not found in registry

✅ Tool execution complete
{'status': 'error', 'error': "Tool 'hardware_query' not found"}
╭───────────────────────────────────────────────────── Tool Result ─────────────────────────────────────────────────────╮
│ {                                                                                                                     │
│   "status": "error",                                                                                                  │
│   "error": "Tool 'hardware_query' not found"                                                                          │
│ }                                                                                                                     │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[2026-01-20 09:25:39] | WARNING | gaia.agents.base.agent.process_query | agent.py:1329 | Tool execution error in plan (count: 1): Tool 'hardware_query' not found
╭─────────────────────────────────────────────────────── ⚠️ Error ───────────────────────────────────────────────────────╮
│ Tool 'hardware_query' not found                                                                                       │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 ERROR RECOVERY: Handling tool execution failure                                                                    │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

📝 Step 3: Thinking...
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 ERROR RECOVERY: Handling previous error                                                                            │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

🧠 Thought: The previous attempt to use 'hardware_query' failed because the tool doesn't exist in the available tools. I
need to adjust my approach. Since I don't have access to a specific hardware query tool, I should instead ask the user
directly about their hardware specifications. I'll create a plan to guide the user through providing their system
information.
🎯 Goal: Get user's hardware specifications to recommend appropriate LLM size

📋 Plan:
  1. ► Use tool 'user_query' with args: {"message": "To recommend what size LLM you can run, I need to know your hardware
specifications. Please provide information about your GPU (including VRAM amount) and CPU. For example: 'I have an RTX
4080 with 16GB VRAM and an Intel i7-12700K CPU.'"} ◄ (current step)


📝 Step 4: Thinking...
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 EXECUTING PLAN: Step 1/1                                                                                           │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

📋 Plan:
  1. ► Use tool 'user_query' with args: {"message": "To recommend what size LLM you can run, I need to know your hardware
specifications. Please provide information about your GPU (including VRAM amount) and CPU. For example: 'I have an RTX
4080 with 16GB VRAM and an Intel i7-12700K CPU.'"} ◄ (current step)

🧠 Thought: Executing step 1 of the plan
🎯 Goal: Following the plan to What size LLM can I run?

🔧 Executing operation
  Tool: user_query
[2026-01-20 09:25:45] | ERROR | gaia.agents.base.agent._execute_tool | agent.py:760 | Tool 'user_query' not found in registry

✅ Tool execution complete
{'status': 'error', 'error': "Tool 'user_query' not found"}
╭───────────────────────────────────────────────────── Tool Result ─────────────────────────────────────────────────────╮
│ {                                                                                                                     │
│   "status": "error",                                                                                                  │
│   "error": "Tool 'user_query' not found"                                                                              │
│ }                                                                                                                     │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[2026-01-20 09:25:45] | WARNING | gaia.agents.base.agent.process_query | agent.py:1329 | Tool execution error in plan (count: 2): Tool 'user_query' not found
╭─────────────────────────────────────────────────────── ⚠️ Error ───────────────────────────────────────────────────────╮
│ Tool 'user_query' not found                                                                                           │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ 🔄 ERROR RECOVERY: Handling tool execution failure                                                                    │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯


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