refactor: migrate monolithic crate to Cargo Workspace with Clean Architecture

Transform the single binary crate into a 9-crate workspace monorepo:

- Root Cargo.toml as [workspace] manager with resolver = "2"
- zesdex-entities: Domain entity types (session, settings, store, message, etc.)
- zesdex-utils: Pure utility functions (error, logger, pagination, slug, clipboard)
- zesdex-dto: Data Transfer Objects for LLM provider API communication
- zesdex-ipc: Unix-socket IPC layer (client/server/framing/protocol)
- zesdex-iam: Identity & Access Management (Clean Architecture: domain/application/infrastructure)
- zesdex-cms: Content Management (Clean Architecture: domain/application/infrastructure)
- zesdex-middleware: HTTP middleware (Auth, CORS, Rate Limiting)
- zesdex-libs: Composition root (AppContext, DB init, JWT, Argon2)
- zesdex-backend: Main binary entry point + seed/migrate binaries
- DevOps: Dockerfile, docker-compose, Nix (flake/shell/default), CI/CD updates
- Remove dead root src/ and src-misc/ directories

All crate re-exports maintain backward compatibility with original
crate::model::*, crate::dto::*, crate::ipc::* module paths.
Feature crates enforce strict layer separation: domain -> application
-> infrastructure with generic trait-based dependency injection.
This commit is contained in:
asepharyana
2026-07-17 09:08:41 +07:00
parent 86cc412395
commit be0a9582bb
248 changed files with 7901 additions and 1505 deletions
@@ -0,0 +1,92 @@
#![allow(dead_code)]
//! Hardcoded built-in subagent definitions (coder, reviewer, researcher, planner).
use crate::app::subagent::spawn::AgentDefinition;
/// Build the fixed list of built-in agent definitions shipped with zesdex.
///
/// Flow: construct each `AgentDefinition` with a name, system prompt, and
/// allowed tool list, then collect into a `Vec`.
///
/// Why: these agents are always available regardless of global/session
/// config, giving users a baseline set of roles out of the box.
///
/// Return: a freshly-built `Vec<AgentDefinition>` (coder, reviewer,
/// researcher, planner).
pub fn builtin_agents() -> Vec<AgentDefinition> {
vec![
AgentDefinition::new(
"coder".to_string(),
"coder".to_string(),
).with_system_prompt(
"You are a coding agent. Write correct, idiomatic Rust code.".to_string()
).with_allowed_tools(
vec![
"read".to_string(),
"write".to_string(),
"edit".to_string(),
"bash".to_string(),
"grep".to_string(),
"glob".to_string(),
"git_operator".to_string(),
"lsp_connect".to_string(),
"lsp_diagnostics".to_string(),
"lsp_hover".to_string(),
"lsp_definition".to_string(),
"lsp_references".to_string(),
"lsp_completion".to_string(),
"lsp_disconnect".to_string(),
]
).with_max_steps(usize::MAX),
AgentDefinition::new(
"reviewer".to_string(),
"reviewer".to_string(),
).with_system_prompt(
"You are a code reviewer. Focus on correctness, safety, and performance.".to_string()
).with_allowed_tools(
vec![
"read".to_string(),
"grep".to_string(),
"glob".to_string(),
"recall".to_string(),
"remember".to_string(),
"lsp_diagnostics".to_string(),
"lsp_hover".to_string(),
"lsp_definition".to_string(),
"lsp_references".to_string(),
]
).with_max_steps(usize::MAX),
AgentDefinition::new(
"researcher".to_string(),
"researcher".to_string(),
).with_system_prompt(
"You are a research agent. Search for information and summarize findings.".to_string()
).with_allowed_tools(
vec![
"read".to_string(),
"grep".to_string(),
"glob".to_string(),
"bash".to_string(),
"search_web".to_string(),
"fetch_url".to_string(),
]
).with_max_steps(usize::MAX),
AgentDefinition::new(
"planner".to_string(),
"planner".to_string(),
).with_system_prompt(
"You are a planning agent. Break down tasks into clear steps.".to_string()
).with_allowed_tools(
vec![
"read".to_string(),
"write".to_string(),
"edit".to_string(),
"bash".to_string(),
"todo_write".to_string(),
"todo_finish".to_string(),
]
).with_max_steps(usize::MAX),
]
}