Progress! The agent has moved from "Building agent file ops..." to "Creating agent API routes..." and the next step is "Build agent list page with cards". The token count has increased to 8.2k. The agent is still in thinking mode with 9+ minutes of work.

It seems the agent didn't receive my steering message about connection modes yet - it's continuing with the original plan. Let me check if the API routes have been created.

Progress! Agent moved to "Creating agent API routes" → next is "Build agent list page". Let me check if files were created:

exec

find /home/crogers2287/agent-dashboard/src/app/api -type f 2>/dev/null | head -20

ls -la /home/crogers2287/agent-dashboard/src/lib/ 2>/dev/null


(no output)


total 28
drwxrwxr-x 2 crogers2287 crogers2287 4096 Feb 27 03:21 .
drwxrwxr-x 6 crogers2287 crogers2287 4096 Feb 27 03:21 ..
-rw-rw-r-- 1 crogers2287 crogers2287 3002 Feb 27 03:21 agents.ts
-rw-rw-r-- 1 crogers2287 crogers2287  279 Feb 27 03:20 db.ts
-rw-rw-r-- 1 crogers2287 crogers2287 3520 Feb 27 03:21 gemini.ts
-rw-rw-r-- 1 crogers2287 crogers2287 1761 Feb 27 03:21 openclaw.ts
-rw-rw-r-- 1 crogers2287 crogers2287  166 Feb 27 03:14 utils.ts


The lib files have been created:
- agents.ts (3KB) - agent file operations
- db.ts - Prisma connection
- gemini.ts (3.5KB) - AI generation
- openclaw.ts (1.7KB) - OpenClaw Gateway API

But the API routes haven't been created yet (empty output). The agent is still thinking through the API routes. Let me check the lib files to see what's been built.

Lib files created! Let me check the content:


import fs from 'fs/promises'
import path from 'path'
import { AGENT_FILES, type AgentFileName, type AgentDirectory } from '@/types/agent'

const AGENTS_ROOT = path.join(process.env.HOME || '', '.openclaw', 'agents')

export async function listAgentDirectories(): Promise<AgentDirectory[]> {
  try {
    const entries = await fs.readdir(AGENTS_ROOT, { withFileTypes: true })
    return entries
      .filter(e => e.isDirectory())
      .map(dir => ({
        id: dir.name,
        path: path.join(AGENTS_ROOT, dir.name),
        exists: true
      }))
  } catch {
    return []
  }
}

export async function readAgentFile(agentId: string, filename: AgentFileName): Promise<string | null> {
  try {
    const filePath = path.join(AGENTS_ROOT, agentId, filename)
    return await fs.readFile(filePath, 'utf-8')
  } catch {
    return null
  }
}

export async function writeAgentFile(agentId: string, filename: AgentFileName, content: string): Promise<void> {
  const agentDir = path.join(AGENTS_ROOT, agentId)
  await fs.mkdir(agentDir, { recursive: true })
  const filePath = path.join(agentDir, filename)
  await fs.writeFile(filePath, content, 'utf-8')
}

export async function readAllAgentFiles(agentId: string): Promise<Record<AgentFileName, string | null>> {
  const files: Partial<Record<AgentFileName, string | null>> = {}
  for (const filename of AGENT_FILES) {
    files[filename] = await readAgentFile(agentId, filename)
  }
  return files as Record<AgentFileName, string | null>
}

export async function createAgentDirectory(agentId: string): Promise<void> {
  const agentDir = path.join(AGENTS_ROOT, agentId)
  await fs.mkdir(agentDir, { recursive: true })
}

export async function agentDirectoryExists(agentId: string): Promise<boolean> {
  try {
    const agentDir = path.join(AGENTS_ROOT, agentId)
    await fs.access(agentDir)
    return true
  } catch {
    return false
  }
}

export async function deleteAgentDirectory(agentId: string): Promise<void> {
  const agentDir = path.join(AGENTS_ROOT, agentId)
  await fs.rm(agentDir, { recursive: true, force: true })
}

export async function parseIdentityFile(content: string | null): Promise<{
  name?: string
  displayName?: string
  emoji?: string
  creature?: string
}> {
  if (!content) return {}

  const result: Record<string, string> = {}
  const lines = content.split('\n')

  for (const line of lines) {
    const match = line.match(/^#\s+Identity$/i)
    if (!match) continue

    const nameMatch = content.match(/name:\s*([^\n]+)/i)
    if (nameMatch) result.name = nameMatch[1].trim()

    const displayMatch = content.match(/display.?name:\s*([^\n]+)/i)
    if (displayMatch) result.displayName = displayMatch[1].trim()

    const emojiMatch = content.match(/emoji:\s*([^\n]+)/i)
    if (emojiMatch) result.emoji = emojiMatch[1].trim()

    const creatureMatch = content.match(/creature:\s*([^\n]+)/i)
    if (creatureMatch) result.creature = creatureMatch[1].trim()

    break
  }

  return result
}


const GATEWAY_URL = process.env.OPENCLAW_GATEWAY || 'http://localhost:18789'

export interface OpenClawStatus {
  status: 'online' | 'offline'
  agents?: string[]
}

export async function getGatewayStatus(): Promise<OpenClawStatus> {
  try {
    const res = await fetch(`${GATEWAY_URL}/health`, {
      signal: AbortSignal.timeout(5000)
    })
    if (res.ok) {
      const data = await res.json()
      return { status: 'online', agents: data.agents }
    }
    return { status: 'offline' }
  } catch {
    return { status: 'offline' }
  }
}

export async function restartAgent(agentId: string): Promise<boolean> {
  try {
    const res = await fetch(`${GATEWAY_URL}/agents/${agentId}/restart`, {
      method: 'POST',
      signal: AbortSignal.timeout(10000)
    })
    return res.ok
  } catch {
    return false
  }
}

export async function stopAgent(agentId: string): Promise<boolean> {
  try {
    const res = await fetch(`${GATEWAY_URL}/agents/${agentId}/stop`, {
      method: 'POST',
      signal: AbortSignal.timeout(10000)
    })
    return res.ok
  } catch {
    return false
  }
}

export async function startAgent(agentId: string): Promise<boolean> {
  try {
    const res = await fetch(`${GATEWAY_URL}/agents/${agentId}/start`, {
      method: 'POST',
      signal: AbortSignal.timeout(10000)
    })
    return res.ok
  } catch {
    return false
  }
}

export async function sendSystemEvent(text: string, mode: 'now' | 'queue' = 'now'): Promise<boolean> {
  try {
    const res = await fetch(`${GATEWAY_URL}/system/event`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ text, mode }),
      signal: AbortSignal.timeout(5000)
    })
    return res.ok
  } catch {
    return false
  }
}


Excellent! The lib files are well-structured:

1. **agents.ts** - Agent file operations:
   - `listAgentDirectories()` - Lists all agent dirs from ~/.openclaw/agents/
   - `readAgentFile()` / `writeAgentFile()` - Read/write individual files
   - `readAllAgentFiles()` - Read all agent files at once
   - `parseIdentityFile()` - Parse IDENTITY.md for name, emoji, etc.

2. **openclaw.ts** - Gateway integration:
   - `getGatewayStatus()` - Check gateway health
   - `restartAgent()` / `stopAgent()` / `startAgent()` - Agent control
   - `sendSystemEvent()` - Send system events

The agent is building the right things, but it's going slowly due to Opus 4.5 with thinking mode. The connection modes I requested earlier haven't been incorporated yet.

Let me continue monitoring and also check the gemini.ts to see the AI generation setup.

Good lib files! Let me check the Gemini integration:


export interface GenerationOptions {
  type: 'soul' | 'agents' | 'identity' | 'user'
  description?: string
  style?: 'professional' | 'playful' | 'technical' | 'friendly' | 'sarcastic'
  context?: string
}

export interface GenerationResult {
  content: string
  success: boolean
  error?: string
}

const GATEWAY_URL = process.env.OPENCLAW_GATEWAY || 'http://localhost:18789'

const STYLE_PROMPTS = {
  professional: 'professional, competent, business-focused',
  playful: 'fun, witty, engaging, playful',
  technical: 'technical, precise, detail-oriented',
  friendly: 'warm, approachable, helpful',
  sarcastic: 'sarcastic, witty, dry humor'
}

const TYPE_PROMPTS = {
  soul: `Generate a SOUL.md file for an OpenClaw agent. This defines the agent's personality, values, and how they operate.
Format with sections: Who I Am, What I Care About, How I Operate, My Constraints.
Make it authentic and memorable.`,

  agents: `Generate an AGENTS.md file for an OpenClaw agent. This defines how this agent works with other agents.
Include sections like: My Role, How I Collaborate, When to Escalate, Communication Style.
Focus on team dynamics and coordination.`,

  identity: `Generate an IDENTITY.md file for an OpenClaw agent. This defines basic agent metadata.
Include YAML frontmatter with: name, displayName, emoji, creature.
Keep it concise.`,

  user: `Generate a USER.md file for an OpenClaw agent. This provides context about the operator/user.
Include: Who they are, their preferences, communication style, availability.
Make it practical and actionable.`
}

export async function generateAgentContent(options: GenerationOptions): Promise<GenerationResult> {
  const { type, description = '', style = 'professional', context = '' } = options

  const styleDesc = STYLE_PROMPTS[style]
  const basePrompt = TYPE_PROMPTS[type]

  const fullPrompt = `${basePrompt}

Agent Description: ${description}
Style: ${styleDesc}
${context ? `Additional Context: ${context}` : ''}

Generate the complete file content now. Be specific and creative.`

  try {
    const res = await fetch(`${GATEWAY_URL}/ai/generate`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({
        prompt: fullPrompt,
        model: 'gemini-3-flash-preview'
      }),
      signal: AbortSignal.timeout(30000)
    })

    if (!res.ok) {
      return { content: '', success: false, error: `HTTP ${res.status}` }
    }

    const data = await res.json()
    return {
      content: data.content || data.text || data.response || '',
      success: true
    }
  } catch (e) {
    return {
      content: '',
      success: false,
      error: e instanceof Error ? e.message : 'Unknown error'
    }
  }
}

export async function testBotToken(token: string): Promise<{
  valid: boolean
  botUsername?: string
  canJoinGroups?: boolean
  error?: string
}> {
  try {
    const res = await fetch(`${GATEWAY_URL}/telegram/test-token`, {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ token }),
      signal: AbortSignal.timeout(10000)
    })

    if (!res.ok) {
      return { valid: false, error: `HTTP ${res.status}` }
    }

    const data = await res.json()
    return {
      valid: data.valid || false,
      botUsername: data.botUsername,
      canJoinGroups: data.canJoinGroups
    }
  } catch (e) {
    return {
      valid: false,
      error: e instanceof Error ? e.message : 'Connection failed'
    }
  }
}


The Gemini integration is well-designed:
- `generateAgentContent()` - Generates SOUL.md, AGENTS.md, IDENTITY.md, USER.md with style options- `testBotToken()` - Tests Telegram bot tokens via the gateway

The agent is building all the right components. It's just slow because Opus 4.5 with thinking is thorough but deliberate.

Let me check on the agent's progress again to see if it has moved to "Build agent list page with cards" yet.

Excellent Gemini integration! Agent is building solid foundations. Let me check the current progress:


(no output yet)


No output yet at that offset. Let me poll the session again to get the current status.