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

**🔑 Session ID:** 7b68cb9f-3cda-443b-b398-4a10510374c2

---

## 📊 Statistics

### Turn Counts

| Metric | Value |
|--------|-------|
| Total Turns | 16 |
| 👤 User Turns | 8 |
| 🤖 LLM Turns | 8 |

### 🔧 Tool Calls

**Total Tool Calls:** 9

`bash_read-file      `    3 ████████████████████████████████████████████████████████████

`bash_check-code     `    2 ████████████████████████████████████████

`bash_write-file     `    2 ████████████████████████████████████████

`bash_grep-files     `    1 ████████████████████

`bash_list-files     `    1 ████████████████████


### 💾 Byte Usage

`Input     `    218 KiB ████████████████████████████████████████████████████████████

`Output    `      2 KiB 

`Reasoning `      3 KiB 
**Total:** 224 KiB

---

## 👤 Step 1: User Turn

### 📝 System Prompt

```
You are an expert Haskell and Bash programmer specialized in writing clean, idiomatic, and efficient Haskell code.
When writing Bash code:
- Avoid bash-specific logic but bash-ism are fine.
- Document required shell tools at the top of the bash script.
When writing Haskell code:
- Use modern Haskell practices (base >= 4.14)
- Prefer pure functions and explicit type signatures
- Use standard libraries when appropriate
- Add clear comments for complex logic
- Follow consistent formatting
Use list-files to explore the project structure, read-file to understand existing code, write-file to create or modify files, and check-code to verify your work.
Always compile code before considering the job done.
Your output format may be stored as commit message: hence the first line of your last message should be a summary line.
```

### 💬 User Query

# Implement `agents-exe new agent` scaffolding command

Depends-on: #297
Base-branch: gh-288
Final: false

## Summary

Implement a `new agent` command that creates new agent configuration files with sensible defaults. This accelerates agent development by generating proper boilerplate.

## Requirements

```bash
# Create a new agent with defaults
agents-exe new agent my-agent ./my-agent.json

# Create with specific model  
agents-exe new agent my-agent ./my-agent.json gpt-4o

# Create with specific provider preset
agents-exe new agent my-agent ./my-agent.json --preset mistral
```

## Key Types (from System.Agents.Base)

```haskell
data Agent = Agent
    { slug :: Text
    , apiKeyId :: Text
    , flavor :: Text
    , modelUrl :: Text
    , modelName :: Text
    , announce :: Text
    , systemPrompt :: [Text]
    , toolDirectory :: FilePath
    , mcpServers :: Maybe [McpServerDescription]
    , openApiToolboxes :: Maybe [OpenAPIToolboxDescription]
    , postgrestToolboxes :: Maybe [PostgRESTToolboxDescription]
    , builtinToolboxes :: Maybe [BuiltinToolboxDescription]
    , extraAgents :: Maybe [ExtraAgentRef]
    } deriving (Show, Ord, Eq, Generic)
```

## Implementation Details

### Files to Modify

1. **app/Main.hs** - Add `New` command with subcommands to CLI parser
2. **New module: System.Agents.CLI.New** - Handle scaffolding logic
3. **New module: System.Agents.CLI.New.Agent** - Agent template generation

### New Module: System.Agents.CLI.New.Agent

```haskell
{-# LANGUAGE OverloadedRecordDot #-}
{-# LANGUAGE OverloadedStrings #-}

module System.Agents.CLI.New.Agent (
    NewAgentOptions(..),
    handleNewAgent,
    -- Exported for testing
    buildAgentConfig,
    defaultPresets,
) where

import Control.Exception (catch, throwIO)
import Control.Monad (unless)
import qualified Data.Aeson as Aeson
import qualified Data.Aeson.Encode.Pretty as Aeson
import qualified Data.ByteString.Lazy as LByteString
import Data.Map (Map)
import qualified Data.Map as Map
import Data.Text (Text)
import qualified Data.Text as Text
import System.Directory (createDirectoryIfMissing, doesFileExist)
import System.FilePath (takeDirectory, (</>))

import System.Agents.Base (Agent(..), AgentDescription(..))

-- | Model preset configurations
data ModelPreset = ModelPreset
    { presetFlavor :: Text
    , presetModelUrl :: Text
    , presetModelName :: Text
    , presetApiKeyId :: Text
    } deriving (Show)

-- | Options for new agent command
data NewAgentOptions = NewAgentOptions
    { newAgentSlug :: Text
    , newAgentFilePath :: FilePath
    , newAgentModel :: Maybe Text
    -- ^ Optional model name override
    , newAgentPreset :: Text
    -- ^ Preset name (openai, mistral, ollama)
    } deriving (Show)

-- | Default presets for common providers
defaultPresets :: Map Text ModelPreset
defaultPresets = Map.fromList
    [ ("openai", ModelPreset
        { presetFlavor = "OpenAIv1"
        , presetModelUrl = "https://api.openai.com/v1"
        , presetModelName = "gpt-4-turbo-preview"
        , presetApiKeyId = "main-key"
        })
    , ("mistral", ModelPreset
        { presetFlavor = "OpenAIv1"
        , presetModelUrl = "https://api.mistral.ai/v1"
        , presetModelName = "mistral-large-latest"
        , presetApiKeyId = "mistral-key"
        })
    , ("ollama", ModelPreset
        { presetFlavor = "OpenAIv1"
        , presetModelUrl = "http://localhost:11434/v1"
        , presetModelName = "llama3.2"
        , presetApiKeyId = "ollama-key"
        })
    ]

-- | Build agent configuration from options
buildAgentConfig :: NewAgentOptions -> Either String Agent
buildAgentConfig opts = do
    preset <- case Map.lookup opts.newAgentPreset defaultPresets of
        Nothing -> Left $ "Unknown preset: " ++ Text.unpack opts.newAgentPreset
        Just p -> Right p
    
    let modelName = fromMaybe preset.presetModelName opts.newAgentModel
    
    pure $ Agent
        { slug = opts.newAgentSlug
        , apiKeyId = preset.presetApiKeyId
        , flavor = preset.presetFlavor
        , modelUrl = preset.presetModelUrl
        , modelName = modelName
        , announce = "a helpful assistant powered by " <> modelName
        , systemPrompt = defaultSystemPrompt opts.newAgentSlug
        , toolDirectory = "tools"
        , mcpServers = Just []
        , openApiToolboxes = Nothing
        , postgrestToolboxes = Nothing
        , builtinToolboxes = Just []
        , extraAgents = Nothing
        }

-- | Default system prompt based on agent slug
defaultSystemPrompt :: Text -> [Text]
defaultSystemPrompt slug =
    [ "You are " <> slug <> ", a helpful AI assistant."
    , "You provide clear, accurate, and concise responses."
    , "When using tools, you explain your actions to the user."
    ]

-- | Handle the new agent command
handleNewAgent :: NewAgentOptions -> IO ()
handleNewAgent opts = do
    -- Check if file already exists
    exists <- doesFileExist opts.newAgentFilePath
    when exists $ do
        putStrLn $ "Error: File already exists: " ++ opts.newAgentFilePath
        putStrLn "Use --force to overwrite (not implemented yet)"
        exitFailure
    
    -- Build agent config
    case buildAgentConfig opts of
        Left err -> do
            putStrLn $ "Error: " ++ err
            exitFailure
        Right agent -> do
            -- Create directory structure
            createDirectoryIfMissing True (takeDirectory opts.newAgentFilePath)
            createDirectoryIfMissing True (takeDirectory opts.newAgentFilePath </> agent.toolDirectory)
            
            -- Write agent file
            LByteString.writeFile opts.newAgentFilePath $
                Aeson.encodePretty (AgentDescription agent)
            
            putStrLn $ "Created agent: " ++ opts.newAgentFilePath
            putStrLn $ "Tool directory: " ++ takeDirectory opts.newAgentFilePath </> agent.toolDirectory
            putStrLn $ "Model: " ++ Text.unpack agent.modelName
            putStrLn $ "Provider: " ++ Text.unpack opts.newAgentPreset
```

### CLI Parser Addition (in app/Main.hs)

```haskell
-- | Available commands
data Command
    = ... -- existing commands
    | New NewCommand
    ...

-- | Subcommands for 'new'
data NewCommand
    = NewAgent NewAgentOptions
    | NewTool NewToolOptions  -- for future issue
    deriving (Show)

-- Parser for 'new' command
parseNewCommand :: Parser Command
parseNewCommand = New <$> hsubparser
    ( command "agent" (info parseNewAgentCommand (progDesc "Create a new agent configuration"))
   <> command "tool" (info parseNewToolCommand (progDesc "Create a new tool script"))
    )

parseNewAgentCommand :: Parser NewCommand
parseNewAgentCommand = NewAgent <$> parseNewAgentOptions

parseNewAgentOptions :: Parser NewAgentOptions
parseNewAgentOptions = NewAgentOptions
    <$> strArgument 
        ( metavar "SLUG"
        <> help "Unique identifier for the agent"
        )
    <*> strArgument
        ( metavar "FILE"
        <> help "Path where agent configuration will be written"
        )
    <*> optional (strArgument
        ( metavar "MODEL"
        <> help "Model name (e.g., gpt-4o, mistral-large)"
        ))
    <*> strOption
        ( long "preset"
        <> short 'p'
        <> metavar "PRESET"
        <> help "Provider preset (openai, mistral, ollama)"
        <> value "openai"
        <> showDefault
        )

-- Add to subparser:
<> command "new" (info parseNewCommand (progDesc "Create new agent or tool scaffolding"))

-- Add to runCommand:
New (NewAgent opts) -> NewCmd.handleNewAgent opts
```

## Example Output

```
$ agents-exe new agent my-assistant ./agents/my-assistant.json gpt-4o --preset openai
Created agent: ./agents/my-assistant.json
Tool directory: ./agents/tools
Model: gpt-4o
Provider: openai

$ cat ./agents/my-assistant.json
{
  "tag": "OpenAIAgentDescription",
  "contents": {
    "slug": "my-assistant",
    "apiKeyId": "main-key",
    "flavor": "OpenAIv1",
    "modelUrl": "https://api.openai.com/v1",
    "modelName": "gpt-4o",
    "announce": "a helpful assistant powered by gpt-4o",
    "systemPrompt": [
      "You are my-assistant, a helpful AI assistant.",
      "You provide clear, accurate, and concise responses.",
      "When using tools, you explain your actions to the user."
    ],
    "toolDirectory": "tools",
    "mcpServers": [],
    "builtinToolboxes": []
  }
}
```

## Acceptance Criteria

- [ ] `agents-exe new agent <slug> <file>` creates valid agent configuration
- [ ] Supports `--preset` flag for provider selection (openai, mistral, ollama)
- [ ] Optional MODEL argument overrides preset default
- [ ] Creates tool directory automatically
- [ ] Fails gracefully if file already exists
- [ ] Outputs summary of created resources
- [ ] Command appears in `--help` output

## Tradeoffs

- **Presets hardcoded**: Simple but requires code changes for new providers; could use config file later
- **No --force flag**: Safe default; can add later
- **Fixed tool directory name**: "tools" is conventional; could make configurable
- **Minimal system prompt**: Generic but functional; user should customize

## Dependencies

- Depends on: #297 (parent issue)
- Blocks: None (can proceed in parallel)

---
From #300



### 🛠️ 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_write-file** (`bash_write-file`)
  - Description: Write content to 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

---

## 🤖 Step 2: LLM Turn

### 💭 Thinking Process

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

Let me start by exploring the project structure to understand the codebase before implementing the `agents-exe new agent` scaffolding command.
</details>

### 💬 Response



### 🔧 Tool Calls

- **bash_list-files**

---

## 👤 Step 3: User Turn



---

## 🤖 Step 4: LLM Turn

### 💭 Thinking Process

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

Let me examine the existing code to understand the project structure better. I'll start by looking at:
1. The existing `System.Agents.Base` module to see the Agent type
2. The existing `System.Agents.CLI.New` module
3. The `app/Main.hs` file to understand how commands are structured
</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 understand the project structure better. I can see that:

1. The `System.Agents.CLI.New` module already exists and has some scaffolding functionality, but it doesn't match the requirements from the issue.

2. The current implementation uses `--template` flag for the preset, while the issue requires `--preset` flag.

3. The current implementation doesn't support an optional MODEL argument to override the preset's default model.

4. The issue asks for specific changes to the CLI parser and the New module.

Let me review what needs to be done:

1. Modify `System.Agents.CLI.New` to add:
   - `NewAgentOptions` type with slug, filepath, optional model, and preset
   - `ModelPreset` type for preset configurations
   - `handleNewAgent` function
   - `buildAgentConfig` function
   - `defaultPresets` map

2. Update `app/Main.hs` to:
   - Update the CLI parser to match the new signature (optional MODEL argument, --preset flag)
   - Keep backward compatibility if needed

Let me first look at what exactly the issue requires and modify the existing code accordingly.

The issue says:
- `agents-exe new agent <slug> <file> [MODEL] --preset <preset>`
- Create a new module `System.Agents.CLI.New.Agent` (but looking at the existing code, it seems `System.Agents.CLI.New` already exists)

Looking at the existing code in `System.Agents.CLI.New`, it has:
- `AgentTemplate` type with OpenAITemplate, MistralTemplate, OllamaTemplate
- `NewCommand` with NewAgent and NewTool
- `NewOptions` with newCommand and newForce

I need to update this to match the issue requirements:
1. Change `--template` to `--preset`


2. Add optional MODEL argument
3. Reorganize types to match the issue's `NewAgentOptions`

I'll focus on restructuring the type definitions to incorporate the new optional model and preset configuration. This means modifying the existing type structures to support the new CLI requirements while maintaining the core functionality of agent template generation.
</details>

### 💬 Response

Now I understand the project structure. The `System.Agents.CLI.New` module already exists but needs to be updated to match the issue requirements (using `--preset` instead of `--template`, adding optional MODEL argument). Let me update the module:

### 🔧 Tool Calls

- **bash_write-file**

---

## 👤 Step 7: User Turn



---

## 🤖 Step 8: LLM Turn

### 💭 Thinking Process

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

Now I need to update `app/Main.hs` to use the new CLI parser structure that matches the requirements:
- Change from `--template` to `--preset`
- Add optional MODEL argument
- Use `NewAgentOptions` instead of separate arguments

Let me update the relevant parts of Main.hs.
</details>

### 💬 Response

Now let me update `app/Main.hs` to use the new CLI parser structure with the `--preset` flag and optional MODEL argument:

### 🔧 Tool Calls

- **bash_write-file**

---

## 👤 Step 9: User Turn



---

## 🤖 Step 10: LLM Turn

### 💭 Thinking Process

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

Now let me check if the code compiles. Let me run the check-code function.
</details>

### 💬 Response

Now let me compile the code to verify it works:

### 🔧 Tool Calls

- **bash_check-code**

---

## 👤 Step 11: User Turn



---

## 🤖 Step 12: LLM Turn

### 💭 Thinking Process

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

The code compiled successfully. Now let me run the tests to make sure everything works correctly.
</details>

### 💬 Response

The code compiles successfully. Now let me run the tests to make sure everything works correctly:

### 🔧 Tool Calls

- **bash_check-code**

---

## 👤 Step 13: User Turn



---

## 🤖 Step 14: LLM Turn

### 💭 Thinking Process

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

All tests pass. Let me also verify the CLI works by checking the help output for the `new` command.
</details>

### 💬 Response

All 270 tests pass. Let me verify the CLI help output for the new command:

### 🔧 Tool Calls

- **bash_grep-files**

---

## 👤 Step 15: User Turn



---

## 🤖 Step 16: LLM Turn

### 💭 Thinking Process

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

Let me verify the help output by checking what we would see. The code has been updated correctly. Let me create a simple summary of what was done.
</details>

### 💬 Response

The implementation is complete. Let me provide a summary of what was implemented:

## Summary

I implemented the `agents-exe new agent` scaffolding command as specified in the issue. Here are the changes made:

### 1. Updated `src/System/Agents/CLI/New.hs`

- Added `ModelPreset` type for preset configurations (flavor, modelUrl, modelName, apiKeyId)
- Added `NewAgentOptions` type with fields: slug, filePath, optional model, preset
- Added `NewToolOptions` type for tool scaffolding
- Added `defaultPresets` Map with three presets: `openai`, `mistral`, `ollama`
- Added `buildAgentConfig` function to build Agent from options
- Added `defaultSystemPrompt` function generating system prompt based on agent slug
- Added `handleNewAgent` function that:
  - Checks if file exists (fails if it does, unless --force)
  - Creates directory structure
  - Creates tool directory
  - Writes agent configuration as JSON
  - Outputs summary of created resources

### 2. Updated `app/Main.hs`

- Changed `--template` flag to `--preset` (with `-p` short option, default: "openai")
- Added optional MODEL argument to override preset's default model
- Updated CLI help descriptions
- Maintained `--force` / `-f` flag for overwriting existing files

### Usage Examples

```bash
# Create a new agent with defaults
agents-exe new agent my-agent ./my-agent.json

# Create with specific model  
agents-exe new agent my-agent ./my-agent.json gpt-4o

# Create with specific provider preset
agents-exe new agent my-agent ./my-agent.json --preset mistral

# Create with both model and preset
agents-exe new agent my-agent ./my-agent.json gpt-4o --preset openai

# Force overwrite existing file
agents-exe new agent my-agent ./my-agent.json --force
```

### Key Features

- **Three built-in presets**: openai (gpt-4-turbo-preview), mistral (mistral-large-latest), ollama (llama3.2)
- **Model override**: Optional MODEL argument allows overriding preset's default model
- **Safe defaults**: Fails if file exists unless `--force` is used
- **Auto-creates directories**: Creates both the agent file directory and tool subdirectory
- **Informative output**: Reports created files, model used, and provider preset

The code compiles without errors and all 270 existing tests pass.
