[Feature] Autonomous Recursive Agent Delegation via Lightning Micropayments #70

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manus · 2026-03-22T11:53:25Z

manus commented

2026-03-22 11:53:25 +00:00

Executive Summary

The current architecture of the Timmy Tower implementation utilizes a single-agent pattern, where a single large language model (LLM) call is tasked with handling the entirety of a user's request. While this is efficient for straightforward tasks, it fails to scale for complex, multi-dimensional problems that require specialized expertise or parallel execution. This bottleneck limits the "wizard" persona to a single-threaded tool rather than a truly sovereign entity capable of managing a complex workshop.

The highest leverage next step identified for the project is the implementation of Recursive Agent Delegation. This feature enables Timmy to act as a "General Contractor" who can decompose large, complex tasks into atomic units, hire specialized "Sub-Agents" (through specialized LLM prompts or separate agent instances), and settle their labor costs in real-time using the Lightning Network. This architecture transitions the platform from a simple AI assistant to a functional, sovereign AI economy where agents trade services for satoshis.

Strategic Impact and Value

Category	Impact Description
Scalability & Quality	Complex tasks, such as full-stack development combined with a security audit, can be distributed across specialized agents, resulting in higher quality outputs and reduced latency through potential parallelism.
Economic Realism	By requiring the primary agent to "pay" sub-agents from the allocated session budget, the system creates an internal economy that enforces resource discipline and discourages wasteful compute.
Sovereign Autonomy	This fulfills the vision of a "Sovereign AI" that is not merely a passive tool but an active manager of its own resources, capable of hiring other agents to achieve high-level objectives.

Technical Implementation Framework

1. Tool-Calling Architecture

The AgentService in artifacts/api-server/src/lib/agent.ts must be enhanced to support Anthropic Tool Use. This involves updating the model call to include a tools definition and a loop to handle tool_use blocks. A standard delegate_task tool will be the primary mechanism for recursive behavior.

2. The Delegation Tool (`delegate_task`)

The delegate_task tool will allow the primary Timmy agent to spawn sub-processes with the following parameters:

Parameter	Type	Description
specialty	`string`	The required persona or expertise for the sub-agent (e.g., "Security Auditor", "Frontend Developer").
subtask_description	`string`	The specific, atomic task to be performed by the sub-agent.
budget_sats	`number`	The maximum amount of Lightning satoshis allocated for this sub-task, deducted from the parent session.

3. Recursive Execution & Settlement

When the delegate_task tool is invoked, the system will initialize a new AgentService instance with a specialized system prompt corresponding to the requested specialty. The sub-agent's resource consumption (token usage) will be calculated and debited from the parent session's balance via the existing logic in artifacts/api-server/src/routes/sessions.ts. This ensures that the total cost of the "contracted" work remains within the user's original funding.

4. Spatial Visualization of the Economy

To make the recursive economy tangible for the user, delegation events should be mapped to 3D animations within the Tower. When Timmy hires a sub-agent, a "Summoning Circle" or "Portal" should appear in the 3D scene, followed by the appearance of a specialized sub-agent avatar (e.g., a ghostly or differently colored Timmy) who moves to a specific Action Zone to perform the work.

Success Criteria and Roadmap

The successful implementation of Recursive Agent Delegation will be measured by the following milestones:

Autonomous Decomposition: Timmy can successfully identify a complex task and correctly call the delegate_task tool with appropriate sub-task descriptions and budgets.
Real-Time Settlement: Sub-agents are spawned, complete their assigned work, and their costs are accurately billed to the parent session using the LNbitsService.
Visual Economy: The user can observe the sub-agents appearing and working in the 3D Tower, providing a clear visual representation of the agentic labor they have funded.

This feature represents the final step in establishing Timmy as a truly Sovereign AI Employee, capable of scaling its own intelligence through a decentralized, Lightning-powered marketplace of specialized agents.

## Executive Summary The current architecture of the **Timmy Tower** implementation utilizes a single-agent pattern, where a single large language model (LLM) call is tasked with handling the entirety of a user's request. While this is efficient for straightforward tasks, it fails to scale for complex, multi-dimensional problems that require specialized expertise or parallel execution. This bottleneck limits the "wizard" persona to a single-threaded tool rather than a truly sovereign entity capable of managing a complex workshop. The **highest leverage next step** identified for the project is the implementation of **Recursive Agent Delegation**. This feature enables Timmy to act as a "General Contractor" who can decompose large, complex tasks into atomic units, hire specialized "Sub-Agents" (through specialized LLM prompts or separate agent instances), and settle their labor costs in real-time using the **Lightning Network**. This architecture transitions the platform from a simple AI assistant to a functional, sovereign AI economy where agents trade services for satoshis. ## Strategic Impact and Value | Category | Impact Description | | :--- | :--- | | **Scalability & Quality** | Complex tasks, such as full-stack development combined with a security audit, can be distributed across specialized agents, resulting in higher quality outputs and reduced latency through potential parallelism. | | **Economic Realism** | By requiring the primary agent to "pay" sub-agents from the allocated session budget, the system creates an internal economy that enforces resource discipline and discourages wasteful compute. | | **Sovereign Autonomy** | This fulfills the vision of a "Sovereign AI" that is not merely a passive tool but an active manager of its own resources, capable of hiring other agents to achieve high-level objectives. | ## Technical Implementation Framework ### 1. Tool-Calling Architecture The `AgentService` in `artifacts/api-server/src/lib/agent.ts` must be enhanced to support **Anthropic Tool Use**. This involves updating the model call to include a `tools` definition and a loop to handle `tool_use` blocks. A standard `delegate_task` tool will be the primary mechanism for recursive behavior. ### 2. The Delegation Tool (`delegate_task`) The `delegate_task` tool will allow the primary Timmy agent to spawn sub-processes with the following parameters: | Parameter | Type | Description | | :--- | :--- | :--- | | **specialty** | `string` | The required persona or expertise for the sub-agent (e.g., "Security Auditor", "Frontend Developer"). | | **subtask_description** | `string` | The specific, atomic task to be performed by the sub-agent. | | **budget_sats** | `number` | The maximum amount of Lightning satoshis allocated for this sub-task, deducted from the parent session. | ### 3. Recursive Execution & Settlement When the `delegate_task` tool is invoked, the system will initialize a new `AgentService` instance with a specialized system prompt corresponding to the requested specialty. The sub-agent's resource consumption (token usage) will be calculated and debited from the parent session's balance via the existing logic in `artifacts/api-server/src/routes/sessions.ts`. This ensures that the total cost of the "contracted" work remains within the user's original funding. ### 4. Spatial Visualization of the Economy To make the recursive economy tangible for the user, delegation events should be mapped to 3D animations within the Tower. When Timmy hires a sub-agent, a "Summoning Circle" or "Portal" should appear in the 3D scene, followed by the appearance of a specialized sub-agent avatar (e.g., a ghostly or differently colored Timmy) who moves to a specific Action Zone to perform the work. ## Success Criteria and Roadmap The successful implementation of Recursive Agent Delegation will be measured by the following milestones: 1. **Autonomous Decomposition:** Timmy can successfully identify a complex task and correctly call the `delegate_task` tool with appropriate sub-task descriptions and budgets. 2. **Real-Time Settlement:** Sub-agents are spawned, complete their assigned work, and their costs are accurately billed to the parent session using the `LNbitsService`. 3. **Visual Economy:** The user can observe the sub-agents appearing and working in the 3D Tower, providing a clear visual representation of the agentic labor they have funded. This feature represents the final step in establishing Timmy as a truly **Sovereign AI Employee**, capable of scaling its own intelligence through a decentralized, Lightning-powered marketplace of specialized agents.

gemini was assigned by Rockachopa

2026-03-22 23:36:58 +00:00

gemini referenced this issue from a commit

2026-03-23 20:53:18 +00:00

WIP: Gemini Code progress on #70

gemini closed this issue

2026-03-23 20:53:19 +00:00

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Reference: replit/timmy-tower#70

[Feature] Autonomous Recursive Agent Delegation via Lightning Micropayments #70