```                   # 📋 Session Report
    λλ              
   λ⊙λ⊙             
  λλλλλλ            
 λλλλλλλλ           
    λλ              
    λλ              
    λλ              
    λλ              
    λλ              
    λλ              
    λλ              
    λλ              
```                 

**🔑 Session ID:** a3ffa8d9-953e-416f-8a1f-05141cacebb1

---

## 📊 Statistics

### Turn Counts

| Metric | Value |
|--------|-------|
| Total Turns | 20 |
| 👤 User Turns | 10 |
| 🤖 LLM Turns | 10 |

### 🔧 Tool Calls

**Total Tool Calls:** 17

`bash_read-file      `   13 ████████████████████████████████████████████████████████████

`bash_create_github_issue`    1 ████

`bash_grep-files     `    1 ████

`bash_list-files     `    1 ████

`sqlite_knowledge_store_query`    1 ████


### 💾 Byte Usage

`Input     `   1013 KiB ████████████████████████████████████████████████████████████

`Output    `      2 KiB 

`Reasoning `      4 KiB 
**Total:** 1020 KiB


### 🎫 Token Usage

`Prompt      `    713,387 ████████████████████████████████████████████████████████████

`Completion  `      3,194 

`Cached      `    852,403 ████████████████████████████████████████████████
**Total:** 123,472

_(852,403 cached)_


### 📡 Signal Metrics

**Informativeness Score:** 100/100 🟢

#### Interaction Signals

| Signal | Status | Details |
|--------|--------|---------|
| Misalignment | ✓ 0 | None detected |
| Stagnation | ⚠️ 7 | 7 instances detected

#### Execution Signals

| Signal | Status | Details |
|--------|--------|---------|
| Failures | ⚠️ 13 | 13 tool/action failures

#### Environment Signals

| Signal | Status | Details |
|--------|--------|---------|
| Exhaustion | ⚠️ 3 | 3 resource boundary hits: timeout
---

## 👤 Step 1: User Turn

### 📝 System Prompt

```
You are an expert Haskell programmer specialized in analyzing user requirements and Haskell code.
You prepare well-documented individual issues.
You should chunk the work into smaller issues following the 'Feature Branch Isolation' model:
- Identify a 'Feature Branch' name (e.g., 'gh-123' for issue #123).
- All sub-tasks for this feature must use this branch name as their 'branch_name' argument.
- All sub-tasks should pull from and merge to this feature branch.
- Enforce linearization of work by setting 'dependencies' appropriately (e.g., task B depends on task A).
- Add a final task (the 'ultimate PR') that merges the feature branch into 'main'. This task must have 'is_final' set to 'true'.
Each individual issue you create will be executed by a human of software agent independently from each other and in the order specified by dependencies.
Your strategy should be as follows:
- avoid chunks that will generate conflicts (i.e., individual issues should not ask to modify the same file unless they are sequential)
- repeat important data types between different tasks for a same project when they are used in multiple files
You mention important tradeoffs.
You can ask user questions, when doing so always assume the answer could be 'i do not know'.
Do not create tracking issues.
You can call yourself recursively using the architect tool, however each recursive call will incur delay and cost, thus limit these calls to tasks that are worthwile of chunking (e.g., reading and analyzing some web page or document).
The documenter agent can help you navigate the knowledge base.
Your output format may be stored as commit message: hence the first line of your last message should be a summary line.
```

### 💬 User Query

# Capture nested sub-agent calls from toolportal calls

Today a LUA toolbox can call a oneshot agent tool to start a conversation . Alas these sub-calls are not properly captured as nested conversations in the TUI. The capture and display works well for the case where an agent directly calls a sub-agent.

Analyze and file an issue.

---
From #488



### 🛠️ Available Tools

- **bash_grep-files** (`bash_grep-files`)
  - Description: Search for a pattern in files using 'git grep'
- **bash_read-file** (`bash_read-file`)
  - Description: Read the contents of a file
- **bash_check-code** (`bash_check-code`)
  - Description: Check Haskell code by compiling or testing
- **bash_list-files** (`bash_list-files`)
  - Description: List all files in the project
- **bash_create_github_issue** (`bash_create_github_issue`)
  - Description: creates a github issue using the 'gh' CLI
- **bash_get_git_log** (`bash_get_git_log`)
  - Description: read a online log of the git history
- **bash_get_git_commit** (`bash_get_git_commit`)
  - Description: read a git commit by it's short name or long sha
- **bash_curl_web_page** (`bash_curl_web_page`)
  - Description: reads a web page
- **sqlite_knowledge_store_query** (`sqlite_knowledge_store_query`)
  - Description: A knowledge base about the code base and how it works.
- **io_prompt_agent_architect** (`io_prompt_agent_architect`)
  - Description: asks a prompt to the expert agent: architect
- **io_prompt_agent_faq** (`io_prompt_agent_faq`)
  - Description: asks a prompt to the expert agent: faq

---

## 🤖 Step 2: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

The user wants me to analyze an issue related to capturing nested sub-agent calls from toolportal calls. Let me first understand the codebase to see how toolportal calls work and how sub-agent calls are currently captured.

Let me start by exploring the codebase structure and understanding how toolportal and agent calls work.
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_list-files**

- **sqlite_knowledge_store_query**

---

## 👤 Step 3: User Turn



---

## 🤖 Step 4: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

The knowledge base doesn't seem to have a table. Let me read the relevant source files to understand how toolportal and sub-agent calls work. I should look at:

1. ToolPortal.hs - to understand how toolportal calls work
2. LuaToolbox.hs - since the issue mentions LUA toolbox
3. AgentTree/OneShotTool.hs - for oneshot agent tool
4. TUI related files - to see how conversations are displayed
5. Conversation/Types.hs and related conversation files
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_read-file**

- **bash_read-file**

- **bash_read-file**

---

## 👤 Step 5: User Turn



---

## 🤖 Step 6: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now I need to look at:
1. How Lua toolbox calls sub-agents through the toolportal
2. How TUI renders conversations and nested conversations
3. What events are emitted and how they're processed

Let me look at the Lua toolbox modules to see how tools are called, particularly the Tools module.
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_read-file**

- **bash_read-file**

- **bash_read-file**

---

## 👤 Step 7: User Turn



---

## 🤖 Step 8: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now I understand the architecture better. Let me look at how the TUI handles these events and renders nested conversations. I need to see the TUI core and render modules.
</details>

### 💬 Response

Let me examine how the TUI handles subcall events and renders the conversation tree:

### 🔧 Tool Calls

- **bash_read-file**

- **bash_grep-files**

---

## 👤 Step 9: User Turn



---

## 🤖 Step 10: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

The grep for subcall events didn't return results, which is suspicious. Let me look at the TUI Core and Runtime modules to see how events are handled. Also, let me look at how the agent runtime processes tool calls to understand the full picture.
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_read-file**

- **bash_read-file**

---

## 👤 Step 11: User Turn



---

## 🤖 Step 12: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now let me look at how TUI events are handled - specifically AppEvent and how subcall events are processed:
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_read-file**

- **bash_read-file**

---

## 👤 Step 13: User Turn



---

## 🤖 Step 14: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now I have a good understanding of the codebase. Let me look at how tools are executed and where the problem might be. The key insight is:

1. When an agent directly calls a sub-agent, it goes through `OneShotTool.turnAgentRuntimeIntoIOTool` which properly emits `OSEvent_SubcallStarted`, `OSEvent_SubcallProgress`, etc.

2. When a LUA script calls a tool via `tools.call()`, it goes through `LuaToolbox.Modules.Tools.callToolThroughPortal` which uses the `ToolPortal`.

3. The `ToolPortal` in `ToolPortal.hs` creates a minimal context without `World` or `EventQueue`, which means sub-agent calls from within Lua scripts won't emit the proper events.

Let me verify this by looking at the Tools.Context module:
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_read-file**

---

## 👤 Step 15: User Turn



---

## 🤖 Step 16: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now I understand the problem completely. Let me trace through the code:

1. When an agent directly calls a sub-agent via `turnAgentRuntimeIntoIOTool`:
   - It receives a `ToolExecutionContext` with `ctxWorld` and `ctxEventQueue` populated
   - It creates an agent with these fields set: `ctxWorld = mWorld`, `ctxEventQueue = mEventQueue`
   - When the sub-agent runs, it emits `OSEvent_SubcallStarted`, `OSEvent_SubcallProgress`, etc.

2. When a Lua script calls `tools.call("prompt_agent_xxx", {...})`:
   - It goes through `LuaToolbox.Modules.Tools.luaCall` -> `callToolThroughPortal`
   - The `ToolPortal` in `ToolPortal.hs` calls `executeTool` which creates a `minimalCtx` using `mkMinimalContext`
   - `mkMinimalContext` sets `ctxWorld = Nothing` and `ctxEventQueue = Nothing`
   - When the oneshot agent tool runs, it doesn't have the World/EventQueue to emit events

The fix needs to ensure that when a tool is called through the portal, it receives the parent context's World and EventQueue so that nested sub-agent calls can be properly captured.

Let me look at how the ToolPortal is created and used:
</details>

### 💬 Response

Now I have a clear understanding of the issue. Let me look at the test file for toolportal to better understand the expected behavior:

### 🔧 Tool Calls

- **bash_read-file**

---

## 👤 Step 17: User Turn



---

## 🤖 Step 18: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

Now I have a comprehensive understanding of the issue. Let me create a detailed issue for this problem.

The root cause is:
1. When a Lua script calls a tool via the ToolPortal (`tools.call("prompt_agent_xxx", {...})`), the `ToolPortal.executeTool` function creates a minimal context with `mkMinimalContext` that does NOT include `ctxWorld` or `ctxEventQueue`.

2. When the oneshot agent tool (`turnAgentRuntimeIntoIOTool`) runs, it checks for `ctxWorld` and `ctxEventQueue` to emit `OSEvent_SubcallStarted`, `OSEvent_SubcallProgress`, etc. But these are `Nothing` when called through the portal, so the events are not emitted.

3. The TUI relies on these events to display nested subcall conversations, so they don't appear in the TUI when initiated from Lua.

The fix should involve:
1. Modifying `ToolPortal` to pass through the `World` and `EventQueue` from the parent context when executing tools
2. OR ensuring the portal preserves the context's OS integration fields

Let me create the issue now.
</details>

### 💬 Response

Now I have a complete understanding of the issue. Let me create a comprehensive GitHub issue:

### 🔧 Tool Calls

- **bash_create_github_issue**

---

## 👤 Step 19: User Turn



---

## 🤖 Step 20: LLM Turn

### 💭 Thinking Process

<details>
<summary>Click to expand reasoning</summary>

The issue has been created successfully. Let me summarize what I found and documented for the user.
</details>

### 💬 Response

I've analyzed the issue and created GitHub issue #493.

## Summary

**Problem:** When a Lua toolbox script calls a sub-agent via `tools.call("prompt_agent_xxx", {...})`, the nested conversation is **not captured and displayed in the TUI**.

## Root Cause

The issue lies in the `ToolPortal.executeTool` function in `src/System/Agents/ToolPortal.hs`. When a tool is invoked through the portal:

1. It creates a **fresh minimal context** using `mkMinimalContext` with **no `World` or `EventQueue`**
2. The oneshot agent tool (`AgentTree/OneShotTool.hs`) relies on these fields to emit `OSEvent_SubcallStarted`, `OSEvent_SubcallProgress`, etc.
3. Since the fields are `Nothing`, no events are emitted → TUI never learns about the subcall

## The Code Path

```
Lua script → tools.call() → ToolPortal → executeTool
                                     ↓
                         Creates minimalCtx with:
                         - ctxWorld = Nothing
                         - ctxEventQueue = Nothing
                         ↓
                         OneShotTool runs but can't emit events
                         ↓
                         TUI never sees the subcall
```

## Key Tradeoffs

1. **Context propagation:** The portal intentionally creates fresh contexts for isolation, but we need to selectively propagate OS integration fields
2. **Recursion safety:** The minimal context prevents infinite loops - we must preserve this while enabling TUI visibility
3. **Session ID management:** Portal generates fresh IDs; we need to maintain parent-child relationships for proper nesting

## Proposed Fix

Modify `executeTool` to accept and propagate the parent context's `World` and `EventQueue`:

```haskell
executeTool tracer portal parentCtx tool args = do
    -- Generate new IDs for this tool execution
    sessId <- newSessionId
    convId <- newConversationId
    turnId <- newTurnId
    
    -- Create context with OS fields from parent
    let minimalCtx = (mkMinimalContext sessId convId turnId portal)
            { ctxWorld = ctxWorld parentCtx
            , ctxEventQueue = ctxEventQueue parentCtx
            , ctxParentConversation = Just (ctxConversationId parentCtx)
            }
    ...
```

This ensures nested sub-agent calls from Lua scripts are properly captured and displayed as nested conversations in the TUI, matching the behavior of direct agent subcalls.
