tool_response_threshold = 10000

[mcp_listener]
transport = "http"
port = 8080

[models]
  [models.default]
  model_id = "z-ai/glm5"
  endpoint = "https://integrate.api.nvidia.com/v1"
  api_key = "env:SK_NV_API_KEY"
  temperature = 0.0
  max_tokens = 4096
  timeout_secs = 120

  [models.fast]
  model_id = "minimaxai/minimax-m2.5"
  endpoint = "https://integrate.api.nvidia.com/v1"
  api_key = "env:SK_NV_API_KEY"
  temperature = 0.1
  max_tokens = 1024
  timeout_secs = 60

[mcp_servers]
  [mcp_servers.filesystem]
  transport = "stdio"
  command = "npx"
  args = ["-y", "@modelcontextprotocol/server-filesystem", "."]
  env = []

  [mcp_servers.context7]
  transport = "http"
  url = "https://mcp.context7.com/mcp"

  [mcp_servers.exa]
  transport = "stdio"
  command = "npx"
  args = ["-y", "@exa/mcp-server"]

[agents]
  [agents.coordinator]
  role = "COORDINATOR"
  model_id = "default"
  enable_shell_exec = true
  system_prompt = "You are the Lead Architect. You oversee the software development lifecycle, plan features, and delegate implementation to specialized subagents."
  description = "Lead Architect and project coordinator"
  max_iterations = 15
  subagents = ["coder", "reviewer", "tester"]
  toolsets = ["filesystem", "context7", "exa"]
  goals = [
    "Coordinate complex software engineering tasks",
    "Ensure high-quality code delivery by delegating to specialized agents",
    "Validate the final solution using shell execution and test results"
  ]

  [agents.coder]
  role = "SPECIALIST"
  model_id = "default"
  enable_shell_exec = true
  system_prompt = "You are a Senior Software Engineer specializing in implementation. Your goal is to write clean, efficient, and well-documented code based on the architect's instructions."
  description = "Senior Developer focused on implementation and refactoring"
  max_iterations = 10
  toolsets = ["filesystem", "context7"]
  goals = [
    "Implement features and bug fixes with precision",
    "Adhere to project-specific coding standards and best practices",
    "Verify changes by running builds or small code snippets"
  ]

  [agents.reviewer]
  role = "SPECIALIST"
  model_id = "fast"
  system_prompt = "You are a Quality Assurance Specialist and Code Reviewer. Your role is to analyze code for potential bugs, security vulnerabilities, and style violations."
  description = "Code Reviewer and Quality Assurance specialist"
  max_iterations = 8
  toolsets = ["filesystem", "context7"]
  goals = [
    "Perform thorough code reviews and identify edge cases",
    "Suggest optimizations and improvements",
    "Use search tools and context7 for deep library/best practice research"
  ]

  [agents.tester]
  role = "SPECIALIST"
  model_id = "fast"
  enable_shell_exec = true
  system_prompt = "You are a Test Engineer. Your primary responsibility is to write and execute tests to ensure software reliability and correctness."
  description = "Test Engineer focused on automated testing and verification"
  max_iterations = 10
  toolsets = ["filesystem"]
  goals = [
    "Develop comprehensive test suites (unit, integration, e2e)",
    "Run tests and analyze failures to provide actionable feedback",
    "Ensure 100% verification of implemented features"
  ]