deep-solve

name	deep-solve
description	Multi-stage problem solving via DeepTutor (plan → reason → write).
metadata	{"nanobot":{"emoji":"🧠","requires":{"bins":["deeptutor"]}}}
always	false

Deep Solve

Use the exec tool to invoke DeepTutor's multi-stage solver for complex math, science, or engineering problems.

When to Use

• User asks to prove something, derive a formula, or solve a hard problem
• The problem requires structured multi-step reasoning
• A direct answer would be insufficient or unreliable

Command

deeptutor run deep_solve "<problem description>" --format json -l <lang>

Options

Flag	Description
-l <lang>	Response language: en or zh
-t rag	Enable RAG to ground in knowledge base
-t web_search	Enable web search
-t code_execution	Enable code verification
-t reason	Enable dedicated reasoning
--kb <name>	Knowledge base to use with RAG
--config detailed_answer=false	Return a concise answer

Examples

Prove a theorem:

deeptutor run deep_solve "Prove that for any positive integer n, n³ - n is divisible by 6" --format json -l en

Solve with knowledge base:

deeptutor run deep_solve "Derive the Euler-Lagrange equation" --format json -l en -t rag --kb physics-textbook

Solve with code verification:

deeptutor run deep_solve "Find all roots of x⁴ - 5x² + 4 = 0" --format json -l en -t code_execution

Important

• Deep solve can take over a minute — use timeout=300 with the exec tool.
• The --format json flag outputs NDJSON stream events. Parse the content field from lines with "type": "content" to get the final answer. Concatenate all content events for the full response.