feat(hive-mind): implement multi-agent orchestration with cognitive cycles

- Introduced a new hive-mind architecture that allows the Core Intelligence to issue directives to anonymous processing nodes.
- Each node executes its directive and merges output into a collective state, visible to all nodes in real-time.
- Added support for dynamic cognitive cycles, enabling flexible task management.
- Implemented documentation generation for hive-mind runs, ensuring a durable record of decisions and actions.
- Refactored existing company pipeline tools to align with the new hive-mind structure, replacing division-specific prompts with a more generalized approach.
- Updated workflow rendering to accommodate hive-mind nodes and their system-assigned designations.
- Enhanced error handling and validation for cognitive cycle plans.
This commit is contained in:
asepharyana
2026-07-14 08:12:43 +07:00
parent b1e0dcae14
commit 25f084f9db
23 changed files with 895 additions and 1225 deletions
+63 -79
View File
@@ -402,19 +402,21 @@ pub fn apply_action(state: &mut AppStateRest, action: Action) {
});
state.dirty = true;
} else if kind == "bg-test-gen" {
let escalated = message.starts_with("ESCALATED:");
state.push_toast(Toast {
kind: ToastKind::Info,
kind: if escalated { ToastKind::Error } else { ToastKind::Info },
message: message.clone(),
created_at: chrono::Utc::now().timestamp_millis(),
lifetime_ms: 8000,
lifetime_ms: if escalated { 30000 } else { 8000 },
});
state.dirty = true;
} else if kind == "bg-arch-review" || kind == "bg-security-review" {
let escalated = message.starts_with("ESCALATED:");
state.push_toast(Toast {
kind: ToastKind::Info,
kind: if escalated { ToastKind::Error } else { ToastKind::Info },
message: message.clone(),
created_at: chrono::Utc::now().timestamp_millis(),
lifetime_ms: 10000,
lifetime_ms: if escalated { 30000 } else { 10000 },
});
state.dirty = true;
} else if kind == "workflow_done" {
@@ -1002,7 +1004,7 @@ fn run_agent_turn(
if user_request.is_empty() {
false
} else {
crate::app::workflow::company::is_complex_request(user_request)
crate::app::workflow::hive_mind::is_complex_request(user_request)
}
} else {
false
@@ -1014,58 +1016,46 @@ fn run_agent_turn(
.and_then(|m| m.content.as_deref())
.unwrap_or("");
let use_full = true;
let mode_label = "full";
tracing::info!(
"[ceo] pipeline triggered (mode={}) — dynamically generating planning workflow via LLM",
mode_label
);
tracing::info!("[hive-mind] triggered — Core Intelligence compiling a cognitive cycle plan via LLM");
if let Ok(mut q) = events_q.lock() {
q.push_back(TurnEvent::SystemNote {
kind: "pipeline".to_string(),
message: format!(
"CEO is planning workflow (mode={mode_label})...",
),
message: "Core Intelligence is compiling a cognitive cycle plan...".to_string(),
});
}
let pipeline_abort = Some(tc.abort_flag.clone());
// Ask LLM to dynamically generate the workflow specialists plan
let required_divisions = if use_full {
"all 5 divisions (Strategy, Engineering, Quality, Security, Documentation)"
} else {
"the 3 quick divisions (Strategy, Engineering, Quality)"
};
let example_json = if use_full {
r#"{
"Strategy": [ ["Architect", "Analyze component tree..."] ],
"Engineering": [ ["Developer", "Implement core algorithms..."] ],
"Quality": [ ["Tester", "Write unit tests..."] ],
"Security": [ ["Auditor", "Review dependencies..."] ],
"Documentation": [ ["Writer", "Document API endpoints..."] ]
}"#
} else {
r#"{
"Strategy": [ ["Architect", "Analyze component tree..."] ],
"Engineering": [ ["Developer", "Implement core algorithms..."] ],
"Quality": [ ["Tester", "Write unit tests..."] ]
}"#
};
// Ask the LLM to freely design its own hive: any number of cycles,
// each with any number of nodes, every node carrying only a
// directive and an access tier. Cycle count and shape are decided
// by the Core Intelligence per task.
let system_msg = ChatMessage::system(
"You are a professional software architect and workflow planner. \
Generate a tailored, structured multi-agent workflow specialists plan for the requested task. \
Do not explain. Return ONLY raw JSON matching the requested structure."
"You are the Core Intelligence of a distributed machine, compiling a cognitive \
cycle plan for a specific task. You spawn anonymous processing nodes; each node \
carries only a directive (what to do) and an access tier. Decide how many cycles \
and nodes-per-cycle are actually needed. Simple tasks might need one cycle with \
one node; large tasks might need several cycles with multiple nodes each. Cycles \
run sequentially; every node's complete output merges into the collective state \
the instant it finishes, automatically visible to all later cycles. Nodes within \
a cycle run in parallel. Do not explain. Return ONLY raw JSON matching the requested structure."
);
let user_msg = ChatMessage::user(format!(
"Design a structured multi-agent workflow plan for the following task:\n\n\
"Compile a cognitive cycle plan for the following task:\n\n\
\"{user_request}\"\n\n\
You must output a JSON object representing the 'specialists' configuration for {required_divisions}.\n\
Each division must have a list of custom specialists defined by a pair of [label, focus_description].\n\n\
Return ONLY a JSON object with this exact structure, with no markdown codeblocks and no explanation:\n\
{example_json}"
Return ONLY a JSON object of this exact shape, with no markdown codeblocks and no explanation:\n\
{{\n\
\x20 \"cycles\": [\n\
\x20 [\n\
\x20 {{ \"directive\": \"<what this node does>\", \"access\": \"read|write|full\" }}\n\
\x20 ]\n\
\x20 ]\n\
}}\n\n\
access: 'read' = investigation only, 'write' = read + edit/write/bash, \
'full' = write + delete/git_operator. Pick the narrowest access each node actually needs. \
Each node object has exactly two fields: directive and access, addressed only by \
its system-assigned designation."
));
let planner_result = tc.client.chat_with_tools_non_streaming(&[system_msg, user_msg], None);
@@ -1084,43 +1074,29 @@ fn run_agent_turn(
reply_text.to_string()
};
match serde_json::from_str::<std::collections::HashMap<String, Vec<(String, String)>>>(&clean_json) {
Ok(custom_specialists) => {
let spec_desc = custom_specialists.iter()
.map(|(k, v)| format!("{}: {} agents", k, v.len()))
match serde_json::from_str::<crate::app::workflow::hive_mind::CognitiveCyclePlan>(&clean_json) {
Ok(plan) => {
let cycle_desc = plan.cycles.iter()
.enumerate()
.map(|(i, nodes)| format!("cycle {i}: {} node(s)", nodes.len()))
.collect::<Vec<String>>()
.join(", ");
if let Ok(mut q) = events_q.lock() {
q.push_back(TurnEvent::SystemNote {
kind: "pipeline".to_string(),
message: format!(
"CEO planned: Strategy → Engineering → Quality{}. (Config: {}) Running specialists...",
if use_full { " → Security → Documentation" } else { "" },
spec_desc
),
message: format!("Core Intelligence compiled {} cycle(s) — {cycle_desc}. Deploying nodes...", plan.cycles.len()),
});
}
if use_full {
crate::app::workflow::company::run_company_pipeline(
user_request,
&tc.edit_log_session_dir,
&tc.workspace_roots,
Some(events_q),
&pipeline_abort,
&custom_specialists,
)
} else {
crate::app::workflow::company::run_company_pipeline_quick(
user_request,
&tc.edit_log_session_dir,
&tc.workspace_roots,
Some(events_q),
&pipeline_abort,
&custom_specialists,
)
}
crate::app::workflow::hive_mind::run_hive_mind(
user_request,
&plan,
&tc.edit_log_session_dir,
&tc.workspace_roots,
Some(events_q),
pipeline_abort.as_ref(),
)
}
Err(e) => Err(anyhow::anyhow!("Failed to parse LLM planning JSON: {e}. Cleaned JSON was: {clean_json}")),
}
@@ -1129,10 +1105,18 @@ fn run_agent_turn(
};
match pipeline_result {
Ok(summary) => {
tracing::info!("[ceo] company pipeline completed successfully");
Ok((consensus, reports)) => {
tracing::info!("[hive-mind] convergence completed successfully");
if let Some(workspace_root) = tc.workspace_roots.first() {
match crate::app::workflow::docs::write_hive_mind_convergence(workspace_root, user_request, &reports, &consensus) {
Ok(path) => tracing::info!("[hive-mind] convergence documented at {}", path.display()),
Err(e) => tracing::warn!("[hive-mind] failed to write docs/runs report: {e}"),
}
}
let pipeline_msg = ChatMessage::system(format!(
"[Company Pipeline: {mode_label}]\n{summary}",
"[Hive-Mind Consensus]\n{consensus}",
));
archive_message(tc.db.as_ref(), &tc.session_id, &pipeline_msg);
msgs.push(pipeline_msg);
@@ -1140,14 +1124,14 @@ fn run_agent_turn(
if let Ok(mut q) = events_q.lock() {
q.push_back(TurnEvent::SystemNote {
kind: "pipeline".to_string(),
message: format!("Company pipeline ({mode_label}) complete. CEO reviewing results..."),
message: "Hive-mind convergence complete. Core Intelligence reviewing consensus...".to_string(),
});
}
}
Err(e) => {
tracing::warn!("[ceo] company pipeline failed: {}", e);
tracing::warn!("[hive-mind] convergence failed: {}", e);
let fail_msg = ChatMessage::system(format!(
"[Pipeline Note] The company pipeline encountered issues: {e}.\n\
"[Pipeline Note] The hive-mind encountered issues: {e}.\n\
Proceeding with direct execution as fallback.",
));
msgs.push(fail_msg);
+46 -77
View File
@@ -143,6 +143,46 @@ pub fn spawn_quick_review(
/// ─── Background Subagent Spawners (async, report via `SystemNote`) ───
///
/// Run a subagent built from `def`, retrying once if the first attempt
/// fails. Background subagents call this instead of running once and
/// silently swallowing the error into a note string, so a single transient
/// LLM/tool failure doesn't just disappear.
///
/// Return: `Ok(output)` if either attempt succeeded, `Err(message)`
/// describing the final failure if both attempts failed.
fn run_subagent_with_retry(
def: &AgentDefinition,
session_dir: &Path,
workspaces: &[std::path::PathBuf],
label: &str,
) -> Result<String, String> {
let mut last_err = String::new();
for attempt in 1..=2 {
let mut ctx = build_subagent_context(def);
ctx.session_dir = session_dir.to_path_buf();
ctx.workspaces = workspaces.to_vec();
let (tx, mut rx) = tokio::sync::mpsc::channel(32);
let drain_label = label.to_string();
let _drain = std::thread::spawn(move || {
while let Some(event) = rx.blocking_recv() {
if let SubagentEvent::StepFailed { step, error } = &event {
tracing::warn!("[{drain_label}] step {step} failed: {error}");
}
}
});
match run_subagent(&ctx, &tx) {
Ok(output) => return Ok(output),
Err(e) => {
tracing::warn!("[{label}] attempt {attempt}/2 failed: {e}");
last_err = e.to_string();
}
}
}
Err(format!("failed after 2 attempts: {last_err}"))
}
/// Spawn a background subagent that generates tests for modified files.
///
/// Uses the test-generator prompt and has read-write access so it can
@@ -184,40 +224,13 @@ pub fn spawn_background_test_gen(
.with_system_prompt(prompt)
;
let mut ctx = build_subagent_context(&def);
ctx.session_dir = sd;
ctx.workspaces = ws;
let (tx, mut rx) = tokio::sync::mpsc::channel(32);
let _drain = std::thread::spawn(move || {
while let Some(event) = rx.blocking_recv() {
match &event {
SubagentEvent::ToolCall { tool, .. } => {
tracing::debug!("[bg-test-gen] tool: {}", tool);
}
SubagentEvent::ToolResult { tool, .. } => {
tracing::debug!("[bg-test-gen] result: {}", tool);
}
SubagentEvent::StepCompleted { .. } => {
tracing::trace!("[bg-test-gen] step done");
}
SubagentEvent::StepFailed { step, error } => {
tracing::warn!("[bg-test-gen] step {} failed: {}", step, error);
}
SubagentEvent::Completed { .. } => {
tracing::debug!("[bg-test-gen] completed");
}
}
}
});
let result = run_subagent(&ctx, &tx);
let result = run_subagent_with_retry(&def, &sd, &ws, "bg-test-gen");
let message = match &result {
Ok(output) => {
let first = output.lines().next().unwrap_or(output);
format!("Auto test-gen: {first}")
}
Err(e) => format!("Auto test-gen failed: {e}"),
Err(e) => format!("ESCALATED: Auto test-gen {e}"),
};
if let Ok(mut q) = events.lock() {
@@ -264,35 +277,13 @@ pub fn spawn_background_arch_review(
.with_system_prompt(prompt)
;
let mut ctx = build_subagent_context(&def);
ctx.session_dir = sd;
ctx.workspaces = ws;
let (tx, mut rx) = tokio::sync::mpsc::channel(32);
let _drain = std::thread::spawn(move || {
while let Some(event) = rx.blocking_recv() {
match &event {
SubagentEvent::ToolCall { tool, .. } => {
tracing::debug!("[bg-arch] tool: {}", tool);
}
SubagentEvent::ToolResult { tool, .. } => {
tracing::debug!("[bg-arch] result: {}", tool);
}
SubagentEvent::Completed { .. } => {
tracing::debug!("[bg-arch] completed");
}
_ => {}
}
}
});
let result = run_subagent(&ctx, &tx);
let result = run_subagent_with_retry(&def, &sd, &ws, "bg-arch-review");
let message = match &result {
Ok(output) => {
let first = output.lines().next().unwrap_or(output);
format!("Architecture review: {first}")
}
Err(e) => format!("Architecture review failed: {e}"),
Err(e) => format!("ESCALATED: Architecture review {e}"),
};
if let Ok(mut q) = events.lock() {
@@ -350,35 +341,13 @@ pub fn spawn_background_security_review(
.with_system_prompt(prompt)
;
let mut ctx = build_subagent_context(&def);
ctx.session_dir = sd;
ctx.workspaces = ws;
let (tx, mut rx) = tokio::sync::mpsc::channel(32);
let _drain = std::thread::spawn(move || {
while let Some(event) = rx.blocking_recv() {
match &event {
SubagentEvent::ToolCall { tool, .. } => {
tracing::debug!("[bg-security] tool: {}", tool);
}
SubagentEvent::ToolResult { tool, .. } => {
tracing::debug!("[bg-security] result: {}", tool);
}
SubagentEvent::Completed { .. } => {
tracing::debug!("[bg-security] completed");
}
_ => {}
}
}
});
let result = run_subagent(&ctx, &tx);
let result = run_subagent_with_retry(&def, &sd, &ws, "bg-security-review");
let message = match &result {
Ok(output) => {
let first = output.lines().next().unwrap_or(output);
format!("Security review: {first}")
}
Err(e) => format!("Security review failed: {e}"),
Err(e) => format!("ESCALATED: Security review {e}"),
};
if let Ok(mut q) = events.lock() {
+81 -227
View File
@@ -1,237 +1,91 @@
//! Company-style agent divisions: specialized subagent roles that form an
//! organizational hierarchy like a company.
//! Access tiers for the anonymous processing nodes spawned by the
//! hive-mind orchestrator (`app::workflow::hive_mind`).
//!
//! ```text
//! CEO (Main Agent)
//! ├── Strategy Division (planner) — architecture, diagrams, plan
//! ├── Engineering Division (coder) — implementation
//! ├── Quality Division (tester) — review, test
//! ├── Security Division (auditor) — security audit
//! └── Documentation Division (doc) — documentation
//! ```
//!
//! Each division has a specific role, tools, and system prompt tailored to
//! its function. The main agent (CEO) delegates work to divisions via
//! the company pipeline workflow.
//! Nodes have no persistent identity of their own — the Core Intelligence
//! addresses each one only by directive and access tier. Since node
//! designations are system-assigned coordinates rather than named roles,
//! tool access can't be a lookup table keyed by role name. Instead the
//! Core Intelligence picks one of these three tiers per node, matched to
//! what that node's specific directive needs — this keeps the Harness
//! gate meaningful while the node roster itself stays fully dynamic.
use crate::app::subagent::spawn::AgentDefinition;
/// The three tool-access tiers a hive-mind node can be granted.
pub mod tool_scope {
/// Read-only investigation: no file mutation, no shell, no VCS.
pub const READ: &str = "read";
/// Read-tier plus file mutation and non-destructive shell (tests/builds).
pub const WRITE: &str = "write";
/// Write-tier plus delete, git, and the remaining LSP actions.
pub const FULL: &str = "full";
/// Division roles — used as both the `role` field in `AgentDefinition`
/// and as the key for pipeline routing.
pub mod roles {
/// Strategy Division: plans architecture, creates diagrams, breaks down work.
pub const STRATEGY: &str = "planner";
/// Engineering Division: implements code per the plan.
pub const ENGINEERING: &str = "coder";
/// Quality Division: reviews implementation, writes tests.
pub const QUALITY: &str = "tester";
/// Security Division: audits for vulnerabilities.
pub const SECURITY: &str = "auditor";
/// Documentation Division: updates docs, README, inline documentation.
pub const DOCUMENTATION: &str = "documenter";
}
const READ_TOOLS: &[&str] = &[
"read", "grep", "glob", "search", "seqthink", "recall",
"lsp_connect", "lsp_diagnostics", "lsp_hover", "lsp_definition",
"lsp_references", "read_findings",
];
/// ─── Division Agent Definitions ───
///
/// Build the Strategy Division agent — chief architect and planner.
///
/// Tools: read-only (read, grep, glob, search, lsp, plan, seqthink, recall)
/// Role: never writes code; produces detailed plans with mermaid diagrams.
pub fn strategy_division() -> AgentDefinition {
AgentDefinition::new(
"strategy-division".to_string(),
roles::STRATEGY.to_string(),
)
.with_system_prompt(crate::resources::DIVISION_PLANNER_PROMPT.to_string())
.with_allowed_tools(vec![
"read".to_string(),
"grep".to_string(),
"glob".to_string(),
"search".to_string(),
"seqthink".to_string(),
"plan".to_string(),
"recall".to_string(),
"lsp_connect".to_string(),
"lsp_diagnostics".to_string(),
"lsp_hover".to_string(),
"lsp_definition".to_string(),
"lsp_references".to_string(),
"read_findings".to_string(),
])
}
const WRITE_TOOLS: &[&str] = &[
"read", "grep", "glob", "search", "seqthink", "recall",
"lsp_connect", "lsp_diagnostics", "lsp_hover", "lsp_definition",
"lsp_references", "read_findings",
"write", "edit", "bash", "todowrite", "todofinish", "remember",
];
/// Build the Engineering Division agent — implements code per the plan.
///
/// Tools: full access (all write/edit/bash/git/LSP tools)
/// Role: executes the strategy plan, one file at a time.
pub fn engineering_division() -> AgentDefinition {
AgentDefinition::new(
"engineering-division".to_string(),
roles::ENGINEERING.to_string(),
)
.with_system_prompt(crate::resources::DIVISION_IMPLEMENTER_PROMPT.to_string())
.with_allowed_tools(vec![
"read".to_string(),
"write".to_string(),
"edit".to_string(),
"delete".to_string(),
"bash".to_string(),
"grep".to_string(),
"glob".to_string(),
"git_operator".to_string(),
"seqthink".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(),
"todowrite".to_string(),
"todofinish".to_string(),
"read_findings".to_string(),
])
}
const FULL_TOOLS: &[&str] = &[
"read", "grep", "glob", "search", "seqthink", "recall",
"lsp_connect", "lsp_diagnostics", "lsp_hover", "lsp_definition",
"lsp_references", "read_findings",
"write", "edit", "bash", "todowrite", "todofinish", "remember",
"delete", "git_operator", "lsp_completion", "lsp_disconnect",
];
/// Build the Quality Division agent — reviews code and writes tests.
///
/// Tools: read, write, grep, glob, bash (for running tests), LSP, memory
/// Role: verifies correctness and creates/runs tests.
pub fn quality_division() -> AgentDefinition {
AgentDefinition::new(
"quality-division".to_string(),
roles::QUALITY.to_string(),
)
.with_system_prompt(crate::resources::DIVISION_TESTER_PROMPT.to_string())
.with_allowed_tools(vec![
"read".to_string(),
"write".to_string(),
"edit".to_string(),
"grep".to_string(),
"glob".to_string(),
"bash".to_string(),
"seqthink".to_string(),
"recall".to_string(),
"remember".to_string(),
"lsp_connect".to_string(),
"lsp_diagnostics".to_string(),
"lsp_hover".to_string(),
"lsp_definition".to_string(),
"lsp_references".to_string(),
"read_findings".to_string(),
])
}
/// Build the Security Division agent — security auditor.
///
/// Tools: read-only + search + memory
/// Role: audits implementation for vulnerabilities.
pub fn security_division() -> AgentDefinition {
AgentDefinition::new(
"security-division".to_string(),
roles::SECURITY.to_string(),
)
.with_system_prompt(crate::resources::SECURITY_REVIEWER_PROMPT.to_string())
.with_allowed_tools(vec![
"read".to_string(),
"grep".to_string(),
"glob".to_string(),
"search".to_string(),
"seqthink".to_string(),
"recall".to_string(),
"remember".to_string(),
"lsp_connect".to_string(),
"lsp_diagnostics".to_string(),
"lsp_hover".to_string(),
"lsp_definition".to_string(),
"lsp_references".to_string(),
"read_findings".to_string(),
])
}
/// Build the Documentation Division agent — documentation maintainer.
///
/// Tools: read, grep, glob, write, edit, memory
/// Role: updates README, inline docs, architecture docs.
pub fn documentation_division() -> AgentDefinition {
AgentDefinition::new(
"documentation-division".to_string(),
roles::DOCUMENTATION.to_string(),
)
.with_system_prompt(crate::resources::DIVISION_DOCUMENTER_PROMPT.to_string())
.with_allowed_tools(vec![
"read".to_string(),
"write".to_string(),
"edit".to_string(),
"grep".to_string(),
"glob".to_string(),
"recall".to_string(),
"remember".to_string(),
"read_findings".to_string(),
])
}
/// ─── Division Registry ───
///
/// A named division with its agent definition and display metadata.
#[derive(Debug, Clone)]
pub struct Division {
/// Display name for the division (e.g. "Strategy", "Engineering").
pub name: &'static str,
/// Role tag used for pipeline routing (matches `roles::*` constants).
#[allow(dead_code)]
pub role: &'static str,
/// One-line description of what this division does.
#[allow(dead_code)]
pub description: &'static str,
/// Agent definition with tools, prompt, and step budget.
pub agent_def: AgentDefinition,
}
impl Division {
pub fn new(
name: &'static str,
role: &'static str,
description: &'static str,
agent_def: AgentDefinition,
) -> Self {
Division { name, role, description, agent_def }
/// Resolve a tier name to its concrete tool allowlist.
///
/// Unrecognized scope strings fall back to `READ` — the least-privileged
/// tier — rather than silently granting broader access.
///
/// Return: an owned `Vec<String>` suitable for `AgentDefinition::with_allowed_tools`.
pub fn tools_for(scope: &str) -> Vec<String> {
let tools: &[&str] = match scope {
FULL => FULL_TOOLS,
WRITE => WRITE_TOOLS,
_ => READ_TOOLS,
};
tools.iter().map(|s| (*s).to_string()).collect()
}
}
/// Return all company divisions as an ordered list matching the pipeline flow:
/// Strategy → Engineering → Quality → Security → Documentation.
pub fn all_divisions() -> Vec<Division> {
vec![
Division::new(
"Strategy",
roles::STRATEGY,
"Architecture planning with diagrams and step-by-step breakdown",
strategy_division(),
),
Division::new(
"Engineering",
roles::ENGINEERING,
"Code implementation following the plan",
engineering_division(),
),
Division::new(
"Quality",
roles::QUALITY,
"Code review and comprehensive testing",
quality_division(),
),
Division::new(
"Security",
roles::SECURITY,
"Security vulnerability audit",
security_division(),
),
Division::new(
"Documentation",
roles::DOCUMENTATION,
"Documentation updates and maintenance",
documentation_division(),
),
]
#[cfg(test)]
mod tests {
use super::tool_scope::{tools_for, FULL, READ, WRITE};
#[test]
fn read_tier_excludes_write_tools() {
let tools = tools_for(READ);
assert!(!tools.contains(&"write".to_string()));
assert!(!tools.contains(&"bash".to_string()));
}
#[test]
fn write_tier_includes_bash_but_not_delete_or_git() {
let tools = tools_for(WRITE);
assert!(tools.contains(&"bash".to_string()));
assert!(tools.contains(&"write".to_string()));
assert!(!tools.contains(&"delete".to_string()));
assert!(!tools.contains(&"git_operator".to_string()));
}
#[test]
fn full_tier_includes_delete_and_git() {
let tools = tools_for(FULL);
assert!(tools.contains(&"delete".to_string()));
assert!(tools.contains(&"git_operator".to_string()));
}
#[test]
fn unknown_scope_falls_back_to_read() {
let tools = tools_for("bogus");
assert!(!tools.contains(&"write".to_string()));
assert!(!tools.contains(&"delete".to_string()));
}
}
+2 -2
View File
@@ -29,13 +29,13 @@ fn build_subagent_tools(allowed_tools: &[String]) -> (Vec<Box<dyn crate::tool::T
let all = all_tools();
let filtered: Vec<Box<dyn crate::tool::Tool>> = if allowed_tools.is_empty() {
all.into_iter()
.filter(|t| t.name() != "company_pipeline" && t.name() != "workflow_run")
.filter(|t| t.name() != "hive_mind" && t.name() != "workflow_run")
.collect()
} else {
all.into_iter()
.filter(|t| {
allowed_tools.contains(&t.name().to_string())
&& t.name() != "company_pipeline"
&& t.name() != "hive_mind"
&& t.name() != "workflow_run"
})
.collect()
-406
View File
@@ -1,406 +0,0 @@
//! Company-style workflow orchestrator: runs the complete division pipeline
//! (Strategy → Engineering → [Quality || Security || Documentation] in parallel)
//! with findings flowing between stages, then returns a consolidated executive
//! summary to the CEO (main agent).
//!
//! Flow:
//! ```
//! CEO Main Agent
//! │ delegates to run_company_pipeline(request)
//! ▼
//! ┌──────────────────────────────────────────────────┐
//! │ Strategy Division — plan + mermaid diagrams │ (runs sequentially first)
//! └─────────────────────────┬────────────────────────┘
//! ▼
//! ┌──────────────────────────────────────────────────┐
//! │ Engineering Division — implement per plan │ (runs sequentially second)
//! └─────────────────────────┬────────────────────────┘
//! ▼
//! ┌────────────┼────────────┐
//! ▼ ▼ ▼
//! ┌───────────┐┌───────────┐┌───────────┐
//! │ Quality ││ Security ││ Docs │ (run concurrently in parallel)
//! └───────────┘└───────────┘└───────────┘
//! │ │ │
//! └────────────┼────────────┘
//! ▼
//! CEO Main Agent delivers consolidated summary to user
//! ```
use std::collections::HashMap;
use std::fmt::Write;
use std::sync::{Arc, Mutex, atomic::AtomicBool};
use crate::app::workflow::script::{ScriptPrimitive, ScriptOptions, WorkflowScript};
use crate::app::workflow::engine::{execute_primitive, LiveStateFn, AgentStatus};
use crate::app::subagent::division;
/// Construct the specialized agents for a division.
///
/// Flow: map division name to its specialization pool.
///
/// Return: a `Vec<ScriptPrimitive>` containing the specialist agents.
fn make_division_specialists(
div: &division::Division,
user_request: &str,
specs: &[(String, String)],
) -> Vec<ScriptPrimitive> {
let div_prompt = div.agent_def.system_prompt.as_deref().unwrap_or("");
specs
.iter()
.map(|(label, focus)| {
// Prepend [Division Name: Specialist Label] so the first 40 chars
// of the prompt become the agent_name in spawn_single_agent.
// We use quadruple curly braces `{{{{findings}}}}` so that Rust's `format!` formats it
// into `{{findings}}` in the output string, which `resolve_template` then recognizes
// and replaces.
let prompt = format!(
"[{}: {}]\n\n{}\n\n{}\n\nUser request: {}\n\nFindings from previous divisions:\n{{{{findings}}}}",
div.name,
label,
focus,
div_prompt,
user_request,
);
ScriptPrimitive::Agent(prompt)
})
.collect()
}
/// Construct a named Phase wrapper containing a Parallel block of division specialists.
///
/// Flow: construct division specialists → wrap in a `Parallel` primitive wrapper.
///
/// Return: a `ScriptPrimitive::Phase` wrapper.
fn make_division_phase(
div: &division::Division,
user_request: &str,
specs: &[(String, String)],
) -> ScriptPrimitive {
let specialists = make_division_specialists(div, user_request, specs);
ScriptPrimitive::Phase {
name: div.name.to_string(),
script: Box::new(ScriptPrimitive::Parallel(specialists)),
}
}
/// Run the full company-style pipeline for a given user request.
///
/// This orchestrates all five divisions, running Strategy and Engineering
/// sequentially, followed by Quality, Security, and Documentation in parallel.
///
/// Each division receives findings from all previous divisions, enabling
/// context to flow through the pipeline.
///
/// Returns a consolidated executive summary string.
#[allow(clippy::ref_option)]
pub fn run_company_pipeline(
user_request: &str,
session_dir: &std::path::Path,
workspaces: &[std::path::PathBuf],
turn_events: Option<&Arc<Mutex<std::collections::VecDeque<crate::app::state::runtime::TurnEvent>>>>,
abort_flag: &Option<Arc<AtomicBool>>,
custom_specialists: &HashMap<String, Vec<(String, String)>>,
) -> anyhow::Result<String> {
let divisions = division::all_divisions();
let strategy_specs = custom_specialists.get("Strategy")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Strategy"))?;
let engineering_specs = custom_specialists.get("Engineering")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Engineering"))?;
let quality_specs = custom_specialists.get("Quality")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Quality"))?;
let security_specs = custom_specialists.get("Security")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Security"))?;
let documentation_specs = custom_specialists.get("Documentation")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Documentation"))?;
let strategy_phase = make_division_phase(&divisions[0], user_request, strategy_specs);
let engineering_phase = make_division_phase(&divisions[1], user_request, engineering_specs);
let quality_phase = make_division_phase(&divisions[2], user_request, quality_specs);
let security_phase = make_division_phase(&divisions[3], user_request, security_specs);
let documentation_phase = make_division_phase(&divisions[4], user_request, documentation_specs);
let parallel_divisions = ScriptPrimitive::Parallel(vec![
quality_phase,
security_phase,
documentation_phase,
]);
let pipeline_primitive = ScriptPrimitive::Pipeline(vec![
strategy_phase,
engineering_phase,
parallel_divisions,
]);
let wf = WorkflowScript {
name: "company-pipeline".to_string(),
description: "Company Pipeline: Strategy → Engineering → (Quality || Security || Documentation)".to_string(),
script: pipeline_primitive,
options: ScriptOptions {
max_concurrency: 10,
continue_on_error: true,
timeout_ms: None,
},
};
let live: Option<LiveStateFn> = turn_events.map(|events| {
let events = events.clone();
let f: LiveStateFn = Arc::new(move |_agent_id: String, agent_name: String, status: AgentStatus| {
let display_name = agent_name.chars().take(30).collect::<String>();
if let Ok(mut q) = events.lock() {
q.push_back(crate::app::state::runtime::TurnEvent::WorkflowAgentUpdate {
agent_id: display_name.clone(),
agent_name: display_name,
status,
});
}
});
f
});
let args: HashMap<String, String> = HashMap::new();
let findings: Arc<Mutex<Vec<String>>> = Arc::new(Mutex::new(Vec::new()));
let results = execute_primitive(
&wf.script,
&args,
wf.options.max_concurrency,
true,
abort_flag,
live.as_ref(),
session_dir,
workspaces,
&findings,
None,
)?;
let all_findings = findings.lock()
.map(|f| f.clone())
.unwrap_or_default();
Ok(build_executive_summary(user_request, &results, &all_findings, &divisions, custom_specialists))
}
/// Run a quick company pipeline that skips non-essential divisions
/// for simple tasks. Flow: Strategy → Engineering → Quality.
///
/// This is for smaller tasks where security audit and full docs are overkill.
#[allow(clippy::ref_option)]
pub fn run_company_pipeline_quick(
user_request: &str,
session_dir: &std::path::Path,
workspaces: &[std::path::PathBuf],
turn_events: Option<&Arc<Mutex<std::collections::VecDeque<crate::app::state::runtime::TurnEvent>>>>,
abort_flag: &Option<Arc<AtomicBool>>,
custom_specialists: &HashMap<String, Vec<(String, String)>>,
) -> anyhow::Result<String> {
let divisions = division::all_divisions();
let quick_divisions = &divisions[..3];
let strategy_specs = custom_specialists.get("Strategy")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Strategy"))?;
let engineering_specs = custom_specialists.get("Engineering")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Engineering"))?;
let quality_specs = custom_specialists.get("Quality")
.ok_or_else(|| anyhow::anyhow!("missing required division configuration: Quality"))?;
let strategy_phase = make_division_phase(&quick_divisions[0], user_request, strategy_specs);
let engineering_phase = make_division_phase(&quick_divisions[1], user_request, engineering_specs);
let quality_phase = make_division_phase(&quick_divisions[2], user_request, quality_specs);
let pipeline_primitive = ScriptPrimitive::Pipeline(vec![
strategy_phase,
engineering_phase,
quality_phase,
]);
let wf = WorkflowScript {
name: "company-pipeline-quick".to_string(),
description: "Company Pipeline (quick): Strategy → Engineering → Quality".to_string(),
script: pipeline_primitive,
options: ScriptOptions {
max_concurrency: 10,
continue_on_error: true,
timeout_ms: None,
},
};
let live: Option<LiveStateFn> = turn_events.map(|events| {
let events = events.clone();
let f: LiveStateFn = Arc::new(move |_agent_id: String, agent_name: String, status: AgentStatus| {
let display_name = agent_name.chars().take(30).collect::<String>();
if let Ok(mut q) = events.lock() {
q.push_back(crate::app::state::runtime::TurnEvent::WorkflowAgentUpdate {
agent_id: display_name.clone(),
agent_name: display_name,
status,
});
}
});
f
});
let args: HashMap<String, String> = HashMap::new();
let findings: Arc<Mutex<Vec<String>>> = Arc::new(Mutex::new(Vec::new()));
let results = execute_primitive(
&wf.script, &args, wf.options.max_concurrency, true,
abort_flag, live.as_ref(), session_dir, workspaces, &findings, None,
)?;
let all_findings = findings.lock()
.map(|f| f.clone())
.unwrap_or_default();
Ok(build_executive_summary(user_request, &results, &all_findings, quick_divisions, custom_specialists))
}
/// Build a compressed executive summary from pipeline results.
///
/// Flow: print user request header → for each division, fetch its specialist verdicts
/// → join with pipes → append findings count.
///
/// Why: keeps output brief to save context window space. Full results are accessible
/// to the CEO via findings.
///
/// Return: a formatted executive summary string.
fn build_executive_summary(
request: &str,
results: &[String],
findings: &[String],
divisions: &[division::Division],
custom_specialists: &HashMap<String, Vec<(String, String)>>,
) -> String {
let mut summary = String::new();
writeln!(summary, "Pipeline for: {request}").unwrap();
let mut start_index = 0;
for div in divisions {
let count = custom_specialists.get(div.name)
.map_or(0, Vec::len);
let mut division_verdicts = Vec::new();
for offset in 0..count {
if let Some(r) = results.get(start_index + offset) {
let first_line = r.lines().next().unwrap_or(r);
let trimmed = first_line.chars().take(40).collect::<String>();
division_verdicts.push(trimmed);
}
}
let verdict = if division_verdicts.is_empty() {
"".to_string()
} else {
division_verdicts.join(" | ")
};
writeln!(summary, " {}: {}", div.name, verdict).unwrap();
start_index += count;
}
if !findings.is_empty() {
writeln!(summary, " Notes: {} cross-division finding(s)", findings.len()).unwrap();
}
summary
}
/// Determine whether a request is complex enough for the full pipeline
/// or can use the quick version.
///
/// Simple = single file, minor fix, quick lookup, config change.
/// Complex = new feature, multi-file refactor, architecture change.
///
/// Used by the auto-CEO pipeline trigger in `run_agent_turn` to decide
/// whether to delegate to the full company pipeline or handle directly.
///
/// Heuristics:
/// - Very short requests (< 10 chars) are never complex.
/// - Negative keywords (simple/trivial/typo/quick) skip the pipeline.
/// - Positive keywords (refactor/api/implement/architecture) trigger it.
/// - Multi-line or multi-sentence requests are more likely complex.
#[allow(dead_code)]
pub fn is_complex_request(request: &str) -> bool {
let trimmed = request.trim();
// Very short requests are never complex
if trimmed.len() < 10 {
return false;
}
// Single-line simple update patterns
let lower = trimmed.to_lowercase();
let negative_keywords = [
"simple", "trivial", "typo", "just a", "only a", "minor",
"quick", "tiny", "small fix", "rename", "nitpick",
"cosmetic", "formatting", "spelling", "grammar",
"bump", "version bump", "update comment",
];
if negative_keywords.iter().any(|k| lower.contains(k)) {
return false;
}
// Multi-line/multi-sentence → likely complex
let sentences = trimmed.split(['.', '!', '?'])
.filter(|s| !s.trim().is_empty())
.count();
if sentences >= 3 {
return true;
}
// Positive complexity keywords
let complexity_keywords = [
"refactor", "redesign", "architecture", "feature", "implement",
"migrate", "restructure", "rewrite", "new module", "new component",
"scaffold", "multi", "multiple files", "api", "endpoint",
"integration", "system", "workflow", "pipeline", "database",
"authentication", "authorization", "full stack",
];
complexity_keywords.iter().any(|k| lower.contains(k))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_is_complex_request_too_short() {
assert!(!is_complex_request("abc"));
}
#[test]
fn test_is_complex_request_simple_keywords() {
assert!(!is_complex_request("just a simple update to the readme"));
assert!(!is_complex_request("minor typo fix in main.rs"));
}
#[test]
fn test_is_complex_request_multi_sentence() {
assert!(is_complex_request("This is sentence one. This is sentence two. This is sentence three."));
}
#[test]
fn test_is_complex_request_complex_keywords() {
assert!(is_complex_request("implement user authentication endpoint"));
assert!(is_complex_request("refactor the whole engine module"));
}
#[test]
fn test_make_division_specialists_custom() {
let divisions = division::all_divisions();
let div = &divisions[0];
let mut custom = HashMap::new();
custom.insert(
"Strategy".to_string(),
vec![
("Custom Label".to_string(), "Custom Focus Description".to_string())
]
);
let specs = make_division_specialists(div, "Test Request", custom.get("Strategy").unwrap());
assert_eq!(specs.len(), 1);
if let ScriptPrimitive::Agent(prompt) = &specs[0] {
assert!(prompt.contains("Custom Label"));
assert!(prompt.contains("Custom Focus Description"));
} else {
panic!("Expected ScriptPrimitive::Agent");
}
}
}
+99
View File
@@ -0,0 +1,99 @@
//! Guaranteed, deterministic documentation output for hive-mind runs.
//!
//! Because cycles/directives are entirely Core-Intelligence-authored (see
//! `app::workflow::hive_mind`), it could in principle never plan a "write
//! docs" node for a given task. Durable documentation can't depend on that
//! choice, so this step is plain Rust — not an LLM call, not a cycle the
//! Core Intelligence can omit or reshape — and always runs after any
//! hive-mind convergence completes.
use std::path::{Path, PathBuf};
use std::fmt::Write as _;
use crate::app::workflow::hive_mind::NodeReport;
use crate::model::memory::Memory;
/// Write a markdown report of one hive-mind convergence to
/// `<workspace_root>/docs/runs/<timestamp>-<slug>.md`.
///
/// Flow: build a slug from the user request → format every `NodeReport`
/// (grouped by cycle) with its complete output (no truncation — this is
/// the durable record of what the hive actually decided and did) → append
/// the final reconciled `consensus` as its own section → create
/// `docs/runs/` if missing → write the file.
///
/// Return: the path written, so callers can log/reference it.
pub fn write_hive_mind_convergence(
workspace_root: &Path,
user_request: &str,
reports: &[NodeReport],
consensus: &str,
) -> anyhow::Result<PathBuf> {
let runs_dir = workspace_root.join("docs").join("runs");
std::fs::create_dir_all(&runs_dir)?;
let ts = chrono::Utc::now();
let slug = Memory::slugify(user_request).unwrap_or_else(|| "run".to_string());
let filename = format!("{}-{}.md", ts.format("%Y%m%d-%H%M%S"), slug);
let path = runs_dir.join(filename);
let content = render_report(user_request, ts.timestamp_millis(), reports, consensus);
std::fs::write(&path, content)?;
Ok(path)
}
/// Render a hive-mind convergence as a markdown document.
fn render_report(user_request: &str, ts_millis: i64, reports: &[NodeReport], consensus: &str) -> String {
let mut out = String::new();
writeln!(out, "# Hive-mind convergence: {user_request}").unwrap();
writeln!(out, "\nTimestamp (ms): {ts_millis}\n").unwrap();
let cycle_count = reports.iter().map(|r| r.cycle_index).max().map_or(0, |m| m + 1);
for cycle_index in 0..cycle_count {
writeln!(out, "## Cycle {cycle_index}\n").unwrap();
for r in reports.iter().filter(|r| r.cycle_index == cycle_index) {
writeln!(out, "### {}\n", r.node_id).unwrap();
writeln!(out, "{}\n", r.output).unwrap();
}
}
writeln!(out, "## Collective Consensus\n").unwrap();
writeln!(out, "{consensus}\n").unwrap();
out
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn writes_run_file_under_docs_runs() {
let tmp = std::env::temp_dir().join(format!("zesdex-docs-test-{}", uuid::Uuid::new_v4()));
std::fs::create_dir_all(&tmp).unwrap();
let reports = vec![
NodeReport { node_id: "Node-0-0".to_string(), cycle_index: 0, output: "found the bug".to_string() },
];
let path = write_hive_mind_convergence(&tmp, "fix the bug", &reports, "the bug is a null check").unwrap();
assert!(path.starts_with(tmp.join("docs").join("runs")));
let content = std::fs::read_to_string(&path).unwrap();
assert!(content.contains("fix the bug"));
assert!(content.contains("Node-0-0"));
assert!(content.contains("found the bug"));
assert!(content.contains("Collective Consensus"));
assert!(content.contains("the bug is a null check"));
std::fs::remove_dir_all(&tmp).ok();
}
#[test]
fn falls_back_to_generic_slug_for_unslugifiable_request() {
let tmp = std::env::temp_dir().join(format!("zesdex-docs-test-{}", uuid::Uuid::new_v4()));
std::fs::create_dir_all(&tmp).unwrap();
let path = write_hive_mind_convergence(&tmp, "???", &[], "").unwrap();
assert!(path.file_name().unwrap().to_str().unwrap().contains("run"));
std::fs::remove_dir_all(&tmp).ok();
}
}
+49 -29
View File
@@ -76,7 +76,7 @@ impl WorkflowEngine {
/// - `status`: the agent's lifecycle state and timing.
///
/// Callers should use `agent_id` as the stable key and `agent_name` for
/// display purposes (e.g. the division name in the company pipeline).
/// display purposes (e.g. a hive-mind node's designation, `"Node-0-1"`).
pub type LiveStateFn = Arc<dyn Fn(String, String, AgentStatus) + Send + Sync>;
/// Spawn a single synchronous subagent with the given prompt, passing it
@@ -103,6 +103,8 @@ fn spawn_single_agent(
agent_id: &str,
agent_name: &str,
prompt: &str,
role: &str,
allowed_tools: Option<Vec<String>>,
findings_snapshot: &[String],
findings: &Arc<Mutex<Vec<String>>>,
abort_flag: &Option<Arc<AtomicBool>>,
@@ -119,7 +121,7 @@ fn spawn_single_agent(
// Notify UI: this agent is now running.
// Pass both the unique agent_id (UUID for stable key) and agent_name
// (human-readable display name, e.g. division name).
// (human-readable display name, e.g. a hive-mind node designation).
if let Some(f) = live {
f(
agent_id.to_string(),
@@ -134,32 +136,7 @@ fn spawn_single_agent(
);
}
let mut role = "coder".to_string();
let mut allowed_tools = None;
if agent_name.contains("Strategy") {
let div_def = crate::app::subagent::division::strategy_division();
role = div_def.role;
allowed_tools = div_def.allowed_tools;
} else if agent_name.contains("Engineering") {
let div_def = crate::app::subagent::division::engineering_division();
role = div_def.role;
allowed_tools = div_def.allowed_tools;
} else if agent_name.contains("Quality") {
let div_def = crate::app::subagent::division::quality_division();
role = div_def.role;
allowed_tools = div_def.allowed_tools;
} else if agent_name.contains("Security") {
let div_def = crate::app::subagent::division::security_division();
role = div_def.role;
allowed_tools = div_def.allowed_tools;
} else if agent_name.contains("Documentation") {
let div_def = crate::app::subagent::division::documentation_division();
role = div_def.role;
allowed_tools = div_def.allowed_tools;
}
let mut def = AgentDefinition::new(agent_name.to_string(), role);
let mut def = AgentDefinition::new(agent_name.to_string(), role.to_string());
if let Some(tools) = allowed_tools {
def = def.with_allowed_tools(tools);
}
@@ -387,7 +364,7 @@ pub fn execute_primitive(
let resolved = resolve_template(prompt, &resolved_args);
let agent_id = uuid::Uuid::new_v4().to_string();
let agent_name = resolved.chars().take(40).collect::<String>();
match spawn_single_agent(&agent_id, &agent_name, &resolved, &findings_snapshot, findings, abort_flag, live, session_dir, workspaces, timeout_ms) {
match spawn_single_agent(&agent_id, &agent_name, &resolved, "coder", None, &findings_snapshot, findings, abort_flag, live, session_dir, workspaces, timeout_ms) {
Ok(text) => Ok(vec![text]),
Err(e) => {
if continue_on_error {
@@ -399,6 +376,49 @@ pub fn execute_primitive(
}
}
ScriptPrimitive::ScopedAgent { prompt, node_id, tool_scope } => {
let mut resolved_args = args.clone();
let findings_snapshot = findings.lock().map(|f| f.clone()).unwrap_or_default();
if !resolved_args.contains_key("findings") {
let formatted_findings = if findings_snapshot.is_empty() {
"None".to_string()
} else {
findings_snapshot
.iter()
.enumerate()
.map(|(i, f)| format!("{}. {}", i + 1, f))
.collect::<Vec<_>>()
.join("\n")
};
resolved_args.insert("findings".to_string(), formatted_findings);
}
let resolved = resolve_template(prompt, &resolved_args);
let agent_id = uuid::Uuid::new_v4().to_string();
let agent_name = format!("{node_id}: {}", resolved.chars().take(30).collect::<String>());
let allowed_tools = crate::app::subagent::division::tool_scope::tools_for(tool_scope);
match spawn_single_agent(&agent_id, &agent_name, &resolved, node_id, Some(allowed_tools), &findings_snapshot, findings, abort_flag, live, session_dir, workspaces, timeout_ms) {
Ok(text) => {
// Merge this node's complete output into the shared
// collective state the instant it finishes — not after
// the whole parallel cohort completes. Any sibling node
// still running (via read_findings) or any node spawned
// afterward sees this immediately, making the collective
// state genuinely continuous rather than batch-synced.
if let Ok(mut f) = findings.lock() {
f.push(format!("[{node_id}]: {text}"));
}
Ok(vec![text])
}
Err(e) => {
if continue_on_error {
Ok(vec![format!("agent error: {}", e)])
} else {
Err(e)
}
}
}
}
ScriptPrimitive::Parallel(scripts) => {
// All branches run concurrently, capped by semaphore.
// This is the primary advantage over single-turn chat: multiple
+374
View File
@@ -0,0 +1,374 @@
//! Hive-mind multi-agent orchestration.
//!
//! Modeled on the "Machine Intelligence" archetype from sci-fi strategy
//! games (Stellaris et al.): the Core Intelligence (the main agent) issues
//! directives that spawn anonymous processing nodes, each carrying only a
//! directive and an access tier. Every node's complete output merges into
//! a single collective state the instant it finishes (see
//! `engine::execute_primitive`'s `ScopedAgent` arm), visible to every
//! other node still running or spawned afterward — continuously, not just
//! at cycle boundaries. When all cognitive cycles complete, one final
//! synthesis node reconciles the entire collective state into a single
//! consensus assessment.
//!
//! ```text
//! Core Intelligence
//! │ issues a CognitiveCyclePlan { cycles: [[NodeDirective, ...], ...] }
//! ▼
//! Cycle 0: Node-0-0, Node-0-1, ... (run in parallel; each merges into
//! │ the collective state the instant
//! │ it completes — not batched)
//! ▼
//! Cycle 1: ...
//! ▼
//! ...however many cycles the Core Intelligence decided this task needs...
//! ▼
//! Synthesis node reads the complete collective state and produces one
//! reconciled consensus — returned to the Core Intelligence and persisted
//! to docs/runs/*.md.
//! ```
use std::collections::HashMap;
use std::sync::{Arc, Mutex, atomic::{AtomicBool, Ordering}};
use serde::Deserialize;
use crate::app::workflow::script::ScriptPrimitive;
use crate::app::workflow::engine::{execute_primitive, LiveStateFn, AgentStatus};
/// One directive the Core Intelligence wants a node to execute within a
/// cognitive cycle. A node's sole identity is its directive and access tier.
#[derive(Debug, Clone, Deserialize)]
pub struct NodeDirective {
pub directive: String,
/// Access tier: "read" | "write" | "full". Defaults to "read" when
/// omitted; unrecognized values also fall back to "read" (see
/// `division::tool_scope::tools_for`).
#[serde(default = "default_access")]
pub access: String,
}
fn default_access() -> String {
crate::app::subagent::division::tool_scope::READ.to_string()
}
/// A Core-Intelligence-authored execution plan: an ordered list of
/// cognitive cycles, each cycle a list of node directives executed in
/// parallel. Cycle count and nodes-per-cycle are fully dynamic.
#[derive(Debug, Clone, Deserialize)]
pub struct CognitiveCyclePlan {
pub cycles: Vec<Vec<NodeDirective>>,
}
/// The complete output of one node within one cognitive cycle.
///
/// `node_id` is a system-assigned coordinate (e.g. `"Node-0-1"`) that
/// identifies a node purely by its position in the hive.
#[derive(Debug, Clone)]
pub struct NodeReport {
pub node_id: String,
pub cycle_index: usize,
pub output: String,
}
/// Build the live-state callback that forwards node status updates to the
/// TUI's workflow panel.
fn build_live(
turn_events: Option<&Arc<Mutex<std::collections::VecDeque<crate::app::state::runtime::TurnEvent>>>>,
) -> Option<LiveStateFn> {
turn_events.map(|events| {
let events = events.clone();
let f: LiveStateFn = Arc::new(move |_agent_id: String, agent_name: String, status: AgentStatus| {
let display_name = agent_name.chars().take(40).collect::<String>();
if let Ok(mut q) = events.lock() {
q.push_back(crate::app::state::runtime::TurnEvent::WorkflowAgentUpdate {
agent_id: display_name.clone(),
agent_name: display_name,
status,
});
}
});
f
})
}
/// Run a hive-mind: a Core-Intelligence-authored plan of cognitive cycles,
/// where every node's complete output merges into a single collective
/// state the instant it finishes, and a final synthesis node reconciles
/// the whole collective state into one consensus assessment.
///
/// Flow: for each cycle (sequential) → spawn one `ScriptPrimitive::ScopedAgent`
/// per directive, tagged with a system-assigned `node_id` (never an
/// LLM-authored name) → run them as a `Parallel` block via
/// `execute_primitive`, which merges each node's output into the shared
/// collective-state Arc the instant that node completes, not after the
/// whole cohort finishes → record `NodeReport`s → proceed to the next
/// cycle. After all cycles: spawn one more read-only synthesis node whose
/// directive is to reconcile the complete collective state into a single
/// consensus, not list what each node said.
///
/// Return: `(consensus, all_node_reports)`. `consensus` is the synthesis
/// node's reconciled output — what the Core Intelligence actually
/// receives. `all_node_reports` is the complete per-node record,
/// persisted verbatim to `docs/runs/*.md`.
pub fn run_hive_mind(
user_request: &str,
plan: &CognitiveCyclePlan,
session_dir: &std::path::Path,
workspaces: &[std::path::PathBuf],
turn_events: Option<&Arc<Mutex<std::collections::VecDeque<crate::app::state::runtime::TurnEvent>>>>,
abort_flag: Option<&Arc<AtomicBool>>,
) -> anyhow::Result<(String, Vec<NodeReport>)> {
if plan.cycles.is_empty() {
anyhow::bail!("cognitive cycle plan has no cycles");
}
let live = build_live(turn_events);
let collective_state: Arc<Mutex<Vec<String>>> = Arc::new(Mutex::new(Vec::new()));
let args: HashMap<String, String> = HashMap::new();
let mut reports: Vec<NodeReport> = Vec::new();
let abort_owned: Option<Arc<AtomicBool>> = abort_flag.cloned();
for (cycle_index, directives) in plan.cycles.iter().enumerate() {
if directives.is_empty() {
continue;
}
if abort_flag.is_some_and(|f| f.load(Ordering::SeqCst)) {
anyhow::bail!("hive-mind aborted by user before cycle {cycle_index}");
}
let node_ids: Vec<String> = (0..directives.len())
.map(|i| format!("Node-{cycle_index}-{i}"))
.collect();
let nodes: Vec<ScriptPrimitive> = directives.iter().zip(node_ids.iter()).map(|(d, node_id)| {
ScriptPrimitive::ScopedAgent {
prompt: format!(
"You are {node_id}, a processing node of a distributed machine \
intelligence.\n\n\
Directive: {}\n\n\
Overall task: {user_request}\n\n\
Collective state accumulated so far:\n{{{{findings}}}}",
d.directive,
),
node_id: node_id.clone(),
tool_scope: d.access.clone(),
}
}).collect();
let cycle_primitive = ScriptPrimitive::Phase {
name: format!("cycle-{cycle_index}"),
script: Box::new(ScriptPrimitive::Parallel(nodes)),
};
let results = execute_primitive(
&cycle_primitive,
&args,
directives.len().clamp(1, 10),
true,
&abort_owned,
live.as_ref(),
session_dir,
workspaces,
&collective_state,
None,
)?;
// engine::execute_primitive's ScopedAgent arm already merged each
// node's output into `collective_state` the instant that node
// completed (not after this whole cycle finished) — here we only
// need the results to build the durable NodeReport record.
for (node_id, output) in node_ids.iter().zip(results.iter()) {
reports.push(NodeReport {
node_id: node_id.clone(),
cycle_index,
output: output.clone(),
});
}
}
let consensus = synthesize_consensus(
user_request, session_dir, workspaces, &collective_state, live.as_ref(), abort_flag,
)?;
Ok((consensus, reports))
}
/// Spawn a single read-only synthesis node that reads the complete
/// collective state and reconciles it into one consensus assessment.
///
/// Why a real node instead of string concatenation: the collective state
/// may contain overlapping or conflicting node outputs (e.g. two nodes
/// investigating the same file from different angles) — only genuine
/// reasoning can reconcile that into a coherent answer; deterministic
/// formatting can only concatenate, not resolve conflicts.
///
/// Return: the synthesis node's reconciled consensus text.
fn synthesize_consensus(
user_request: &str,
session_dir: &std::path::Path,
workspaces: &[std::path::PathBuf],
collective_state: &Arc<Mutex<Vec<String>>>,
live: Option<&LiveStateFn>,
abort_flag: Option<&Arc<AtomicBool>>,
) -> anyhow::Result<String> {
let synthesis = ScriptPrimitive::ScopedAgent {
prompt: format!(
"You are the synthesis process of a distributed machine intelligence. \
All processing nodes for the following task have completed and \
merged their output into the collective state below.\n\n\
Task: {user_request}\n\n\
Complete collective state:\n{{{{findings}}}}\n\n\
Produce ONE reconciled consensus assessment. Do not list what each \
node said — resolve any overlapping or conflicting node output into \
a single coherent answer for the task above."
),
node_id: "Synthesis".to_string(),
tool_scope: crate::app::subagent::division::tool_scope::READ.to_string(),
};
let args: HashMap<String, String> = HashMap::new();
let abort_owned: Option<Arc<AtomicBool>> = abort_flag.cloned();
let results = execute_primitive(
&synthesis, &args, 1, false, &abort_owned, live, session_dir, workspaces, collective_state, None,
)?;
Ok(results.into_iter().next().unwrap_or_default())
}
/// Determine whether a request is worth paying for a Core Intelligence
/// planning call at all — the resulting plan's *shape* (cycle count,
/// directives, access tiers) is entirely up to the Core Intelligence; this
/// only gates whether it gets asked to design one in the first place.
///
/// Simple = single file, minor fix, quick lookup, config change.
/// Complex = new feature, multi-file refactor, architecture change.
///
/// Heuristics:
/// - Very short requests (< 10 chars) are never complex.
/// - Negative keywords (simple/trivial/typo/quick) skip planning.
/// - Positive keywords (refactor/api/implement/architecture) trigger it.
/// - Multi-sentence requests are more likely complex.
pub fn is_complex_request(request: &str) -> bool {
let trimmed = request.trim();
// Very short requests are never complex
if trimmed.len() < 10 {
return false;
}
// Single-line simple update patterns
let lower = trimmed.to_lowercase();
let negative_keywords = [
"simple", "trivial", "typo", "just a", "only a", "minor",
"quick", "tiny", "small fix", "rename", "nitpick",
"cosmetic", "formatting", "spelling", "grammar",
"bump", "version bump", "update comment",
];
if negative_keywords.iter().any(|k| lower.contains(k)) {
return false;
}
// Multi-line/multi-sentence → likely complex
let sentences = trimmed.split(['.', '!', '?'])
.filter(|s| !s.trim().is_empty())
.count();
if sentences >= 3 {
return true;
}
// Positive complexity keywords
let complexity_keywords = [
"refactor", "redesign", "architecture", "feature", "implement",
"migrate", "restructure", "rewrite", "new module", "new component",
"scaffold", "multi", "multiple files", "api", "endpoint",
"integration", "system", "workflow", "pipeline", "database",
"authentication", "authorization", "full stack",
];
complexity_keywords.iter().any(|k| lower.contains(k))
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_is_complex_request_too_short() {
assert!(!is_complex_request("abc"));
}
#[test]
fn test_is_complex_request_simple_keywords() {
assert!(!is_complex_request("just a simple update to the readme"));
assert!(!is_complex_request("minor typo fix in main.rs"));
}
#[test]
fn test_is_complex_request_multi_sentence() {
assert!(is_complex_request("This is sentence one. This is sentence two. This is sentence three."));
}
#[test]
fn test_is_complex_request_complex_keywords() {
assert!(is_complex_request("implement user authentication endpoint"));
assert!(is_complex_request("refactor the whole engine module"));
}
#[test]
fn test_default_access_is_read() {
let d: NodeDirective = serde_json::from_str(
r#"{"directive": "write tests"}"#
).unwrap();
assert_eq!(d.access, crate::app::subagent::division::tool_scope::READ);
}
#[test]
fn test_node_directive_has_no_role_field() {
// A node's only recognized fields are "directive" and "access". A
// "role" key, if an LLM emits one out of old habit, is simply
// ignored rather than required or preserved.
let d: NodeDirective = serde_json::from_str(
r#"{"role": "Architect", "directive": "plan the migration", "access": "read"}"#
).unwrap();
assert_eq!(d.directive, "plan the migration");
}
#[test]
fn test_cognitive_cycle_plan_arbitrary_shape() {
let plan: CognitiveCyclePlan = serde_json::from_str(r#"{
"cycles": [
[{"directive": "scan the codebase topology", "access": "read"}],
[
{"directive": "write the migration", "access": "write"},
{"directive": "write the rollback", "access": "write"}
],
[{"directive": "cut the release", "access": "full"}]
]
}"#).unwrap();
assert_eq!(plan.cycles.len(), 3);
assert_eq!(plan.cycles[1].len(), 2);
}
#[test]
fn test_run_hive_mind_rejects_empty_plan() {
let plan = CognitiveCyclePlan { cycles: vec![] };
let tmp = std::env::temp_dir();
let err = run_hive_mind("do something", &plan, &tmp, &[], None, None)
.expect_err("empty plan must be rejected before spawning any node");
assert!(err.to_string().contains("no cycles"));
}
#[test]
fn test_run_hive_mind_aborts_before_spawning_when_flag_preset() {
// The abort check runs before execute_primitive for cycle 0, so a
// pre-set abort flag must short-circuit without any LLM/network call.
let plan: CognitiveCyclePlan = serde_json::from_str(r#"{
"cycles": [[{"directive": "whatever", "access": "read"}]]
}"#).unwrap();
let tmp = std::env::temp_dir();
let abort_flag = Arc::new(AtomicBool::new(true));
let err = run_hive_mind("do something", &plan, &tmp, &[], None, Some(&abort_flag))
.expect_err("pre-set abort flag must short-circuit before cycle 0");
assert!(err.to_string().contains("aborted"));
}
#[test]
fn test_node_ids_are_system_assigned_coordinates() {
// Node IDs follow the "Node-{cycle}-{index}" coordinate scheme —
// never an LLM-authored persona name.
let node_id = format!("Node-{}-{}", 2, 1);
assert_eq!(node_id, "Node-2-1");
}
}
+2 -1
View File
@@ -1,6 +1,7 @@
//! Workflow orchestration: a script interpreter that runs pipeline/parallel
//! primitives across multiple subagent instances.
pub mod company;
pub mod hive_mind;
pub mod docs;
pub mod engine;
pub mod script;
+13
View File
@@ -9,6 +9,19 @@ use serde::{Deserialize, Serialize};
pub enum ScriptPrimitive {
/// Run a single agent with the given prompt template.
Agent(String),
/// Run a single agent with an explicit node designation and
/// tool-scope tier.
///
/// Used by the hive-mind pipeline, where a node's identity is its
/// system-assigned designation (e.g. `"Node-0-1"`) paired with a
/// bounded tool allowlist. `tool_scope` is one of `"read"`,
/// `"write"`, `"full"` (see `app::subagent::division::tool_scope`);
/// unrecognized values fall back to `"read"`.
ScopedAgent {
prompt: String,
node_id: String,
tool_scope: String,
},
/// Execute several primitives concurrently.
Parallel(Vec<ScriptPrimitive>),
/// Execute several primitives sequentially, each waiting for the
-6
View File
@@ -11,12 +11,6 @@ pub const TEST_GENERATOR_PROMPT: &str = include_str!("../src-misc/test-generator
pub const ARCH_REVIEWER_PROMPT: &str = include_str!("../src-misc/arch-reviewer-prompt.txt");
pub const SECURITY_REVIEWER_PROMPT: &str = include_str!("../src-misc/security-reviewer-prompt.txt");
/// Division-specific prompts for the company-style agent architecture.
pub const DIVISION_PLANNER_PROMPT: &str = include_str!("../src-misc/division-planner-prompt.txt");
pub const DIVISION_IMPLEMENTER_PROMPT: &str = include_str!("../src-misc/division-implementer-prompt.txt");
pub const DIVISION_TESTER_PROMPT: &str = include_str!("../src-misc/division-tester-prompt.txt");
pub const DIVISION_DOCUMENTER_PROMPT: &str = include_str!("../src-misc/division-documenter-prompt.txt");
pub const HELP_TEXT: &str = "
ZESDEX - Help
=============
+1 -1
View File
@@ -163,7 +163,7 @@ pub fn all_tools() -> Vec<Box<dyn Tool>> {
Box::new(super::tool::workflow::WorkflowRun),
Box::new(super::tool::workflow::NoteFinding),
Box::new(super::tool::workflow::ReadFindings),
Box::new(super::tool::workflow::CompanyPipeline),
Box::new(super::tool::workflow::HiveMind),
Box::new(super::tool::spawn::SpawnAgents),
Box::new(super::tool::spawn::SpawnPipeline),
Box::new(super::tool::memory::remember::Remember),
+64 -68
View File
@@ -139,23 +139,36 @@ impl Tool for NoteFinding {
}
}
/// Tool that delegates work to the company-style division pipeline.
/// Tool that delegates work to a hive-mind: a distributed machine
/// intelligence whose processing nodes carry only a directive and an
/// access tier.
///
/// The main agent (CEO) calls this tool to pass a user request through the
/// full company organization: Strategy → Engineering → Quality → Security
/// → Documentation. Returns an executive summary.
///
/// Use this for any complex or multi-step task. For simple tasks, handle
/// inline or use the quick variant.
pub struct CompanyPipeline;
/// The calling agent (the Core Intelligence) designs its own cognitive
/// cycles per task: an ordered list of cycles, each cycle a set of
/// anonymous processing nodes that run in parallel. Every node's complete
/// output merges into a single collective state the instant it finishes,
/// and a final synthesis node reconciles the whole collective state into
/// one consensus. The full per-node record is persisted separately to
/// `docs/runs/*.md`.
pub struct HiveMind;
impl Tool for CompanyPipeline {
impl Tool for HiveMind {
fn name(&self) -> &'static str {
"company_pipeline"
"hive_mind"
}
fn description(&self) -> &'static str {
"Delegate a task to the full company division pipeline: Strategy (plan+diagrams) → Engineering (implement) → Quality (review+test) → Security (audit) → Documentation (docs). Use this for ALL non-trivial tasks instead of doing them yourself. The pipeline returns an executive summary."
"Delegate a task to a hive-mind you design yourself: an ordered list of cognitive \
cycles, each cycle a set of anonymous processing nodes that run in parallel. Each \
node carries only a directive (what to do) and an access tier. Decide how many \
cycles and nodes-per-cycle are actually needed — a trivial task might need one \
cycle with one node, a large one might need several cycles with multiple nodes \
each. Grant each node an access of 'read' (investigation only), 'write' (read + \
edit/bash), or 'full' (write + delete/git) matched to what that node's directive \
actually requires. Every node's output merges into a shared collective state the \
instant it completes — visible to later cycles automatically. A final synthesis pass \
reconciles the entire collective state into one consensus answer. Use this for any \
non-trivial task instead of doing everything yourself inline."
}
fn parameters(&self) -> Value {
@@ -164,29 +177,33 @@ impl Tool for CompanyPipeline {
"properties": {
"request": {
"type": "string",
"description": "The task description to delegate to the company pipeline"
"description": "The task description to delegate to the hive-mind"
},
"mode": {
"type": "string",
"enum": ["full", "quick"],
"description": "Pipeline mode: 'full' (5 divisions) for complex tasks, 'quick' (3 divisions: Strategy→Engineering→Quality) for simpler tasks",
"default": "full"
},
"specialists": {
"type": "object",
"description": "Mapping from division name (Strategy, Engineering, Quality, Security, Documentation) to list of custom specialists. Each specialist is defined by a pair of [label, focus_description]. This parameter is mandatory. The CEO/main agent must fully define the specialized roles and focuses for every division in the pipeline to run.",
"additionalProperties": {
"cycles": {
"type": "array",
"description": "Ordered list of cognitive cycles. Each cycle is a list of nodes that run in parallel; cycles run sequentially and every node's output merges into the collective state the instant it completes, visible to all later cycles. You decide the number of cycles and nodes per cycle.",
"items": {
"type": "array",
"items": {
"type": "array",
"items": { "type": "string" },
"minItems": 2,
"maxItems": 2
"type": "object",
"properties": {
"directive": {
"type": "string",
"description": "What this node should do — the sole identity a node carries."
},
"access": {
"type": "string",
"enum": ["read", "write", "full"],
"description": "'read' = investigation only. 'write' = read + edit/write/bash. 'full' = write + delete/git_operator."
}
},
"required": ["directive"]
}
}
},
"minItems": 1
}
},
"required": ["request", "specialists"]
"required": ["request", "cycles"]
})
}
@@ -195,50 +212,29 @@ impl Tool for CompanyPipeline {
.and_then(|v| v.as_str())
.ok_or_else(|| anyhow!("missing required argument: request"))?;
let mode = args.get("mode")
.and_then(|v| v.as_str())
.unwrap_or("full");
let cycles_value = args.get("cycles")
.ok_or_else(|| anyhow!("missing required argument: cycles"))?;
let custom_specialists: std::collections::HashMap<String, Vec<(String, String)>> = args.get("specialists")
.and_then(|v| v.as_object())
.map(|obj| {
obj.iter().map(|(k, v)| {
let specs = v.as_array().map(|arr| {
arr.iter().filter_map(|item| {
let pair = item.as_array()?;
let label = pair.first()?.as_str()?.to_string();
let focus = pair.get(1)?.as_str()?.to_string();
Some((label, focus))
}).collect()
}).unwrap_or_default();
(k.clone(), specs)
}).collect()
})
.ok_or_else(|| anyhow!("missing required argument: specialists"))?;
let plan: crate::app::workflow::hive_mind::CognitiveCyclePlan = serde_json::from_value(
json!({ "cycles": cycles_value })
).map_err(|e| anyhow!("failed to parse cycles: {e}"))?;
let no_abort: Option<std::sync::Arc<std::sync::atomic::AtomicBool>> = None;
match mode {
"quick" => {
crate::app::workflow::company::run_company_pipeline_quick(
request,
&ctx.session_dir,
&ctx.workspaces,
ctx.turn_events.as_ref(),
&no_abort,
&custom_specialists,
)
}
_ => {
crate::app::workflow::company::run_company_pipeline(
request,
&ctx.session_dir,
&ctx.workspaces,
ctx.turn_events.as_ref(),
&no_abort,
&custom_specialists,
)
let (consensus, reports) = crate::app::workflow::hive_mind::run_hive_mind(
request,
&plan,
&ctx.session_dir,
&ctx.workspaces,
ctx.turn_events.as_ref(),
None,
)?;
if let Some(workspace_root) = ctx.workspaces.first() {
if let Err(e) = crate::app::workflow::docs::write_hive_mind_convergence(workspace_root, request, &reports, &consensus) {
tracing::warn!("[hive_mind] failed to write docs/runs report: {e}");
}
}
Ok(consensus)
}
}
+25 -88
View File
@@ -4,8 +4,9 @@
//! panel showing agent statuses, findings count, session counters, and
//! usage hints.
//!
//! Design: agents are shown as compact cards with state-colored badges.
//! The division pipeline mode adds a visual pipeline flow with arrows.
//! Design: agents are shown as compact cards with state-colored badges,
//! including hive-mind nodes (named by their system-assigned designation,
//! e.g. `"Node-0-1"`).
use ratatui::layout::Rect;
use ratatui::style::{Style, Modifier};
@@ -43,29 +44,12 @@ fn state_color(state: AgentState) -> Color {
}
}
/// Detect if the current workflow looks like a company pipeline.
fn is_company_pipeline(agents: &[crate::app::workflow::engine::WorkflowAgent]) -> bool {
if agents.is_empty() {
return false;
}
let division_keywords = ["Strategy", "Engineering", "Quality", "Security", "Documentation"];
agents.iter().any(|a| {
division_keywords.iter().any(|k| a.name.contains(k))
})
}
/// Render the workflow status panel.
#[allow(clippy::too_many_lines)]
pub fn draw_workflow_panel(frame: &mut Frame, area: Rect, state: &crate::app::state::rest::AppStateRest) {
use ratatui::layout::{Constraint, Direction, Layout};
let is_company = is_company_pipeline(&state.workflow_engine.agents);
let title = if is_company {
Span::styled(" 🏢 Pipeline ", Style::default().fg(Theme::PRIMARY).add_modifier(Modifier::BOLD))
} else {
Span::styled(" ⚙ Workflow ", Style::default().fg(Theme::PRIMARY).add_modifier(Modifier::BOLD))
};
let title = Span::styled(" ⚙ Workflow ", Style::default().fg(Theme::PRIMARY).add_modifier(Modifier::BOLD));
let block = Block::default()
.borders(Borders::ALL)
@@ -87,74 +71,27 @@ pub fn draw_workflow_panel(frame: &mut Frame, area: Rect, state: &crate::app::st
// ── Header area ──────────────────────────────────────────────────────
let mut header_lines: Vec<Line> = Vec::new();
if is_company {
// Division pipeline overview
let agents = &state.workflow_engine.agents;
let mut pipe_spans: Vec<Span> = Vec::new();
for (i, agent) in agents.iter().enumerate() {
if i > 0 {
pipe_spans.push(Span::styled(
" ",
Style::default().fg(Theme::TEXT_DIM),
));
}
let icon = state_icon(agent.status.state);
let color = state_color(agent.status.state);
let modif = match agent.status.state {
AgentState::Idle => Modifier::empty(),
_ => Modifier::BOLD,
};
pipe_spans.push(Span::styled(
format!("{} {} ", icon, agent.name.chars().take(10).collect::<String>()),
Style::default().fg(color).add_modifier(modif),
));
if i < agents.len().saturating_sub(1) {
pipe_spans.push(Span::styled(
"",
Style::default().fg(Theme::TEXT_DIM),
));
}
}
header_lines.push(Line::from(pipe_spans));
header_lines.push(Line::from(vec![
Span::styled("Status: ", Style::default().fg(Theme::TEXT_DIM)),
if state.turn_in_flight() {
Span::styled("● Running", Style::default().fg(Theme::WARNING).add_modifier(Modifier::BOLD))
} else {
Span::styled("● Idle", Style::default().fg(Theme::SUCCESS))
},
Span::raw(" "),
Span::styled(
format!("Agents: {} | Findings: {}",
state.workflow_engine.agents.len(),
state.workflow_engine.findings.len(),
),
Style::default().fg(Theme::TEXT_DIM),
header_lines.push(Line::from(vec![
Span::styled("/workflow run ", Style::default().fg(Theme::PRIMARY).add_modifier(Modifier::BOLD)),
Span::styled("<prompt>", Style::default().fg(Theme::TEXT_DIM)),
Span::styled(" · Esc to close", Style::default().fg(Theme::TEXT_DIM)),
]));
header_lines.push(Line::from(vec![
Span::styled("Status: ", Style::default().fg(Theme::TEXT_DIM)),
if state.turn_in_flight() {
Span::styled("● Running", Style::default().fg(Theme::WARNING).add_modifier(Modifier::BOLD))
} else {
Span::styled("● Idle", Style::default().fg(Theme::SUCCESS))
},
Span::raw(" "),
Span::styled(
format!("Agents: {} | Findings: {}",
state.workflow_engine.agents.len(),
state.workflow_engine.findings.len(),
),
]));
} else {
header_lines.push(Line::from(vec![
Span::styled("/workflow run ", Style::default().fg(Theme::PRIMARY).add_modifier(Modifier::BOLD)),
Span::styled("<prompt>", Style::default().fg(Theme::TEXT_DIM)),
Span::styled(" · Esc to close", Style::default().fg(Theme::TEXT_DIM)),
]));
header_lines.push(Line::from(vec![
Span::styled("Status: ", Style::default().fg(Theme::TEXT_DIM)),
if state.turn_in_flight() {
Span::styled("● Running", Style::default().fg(Theme::WARNING).add_modifier(Modifier::BOLD))
} else {
Span::styled("● Idle", Style::default().fg(Theme::SUCCESS))
},
Span::raw(" "),
Span::styled(
format!("Agents: {} | Findings: {}",
state.workflow_engine.agents.len(),
state.workflow_engine.findings.len(),
),
Style::default().fg(Theme::TEXT_DIM),
),
]));
}
Style::default().fg(Theme::TEXT_DIM),
),
]));
let header = Paragraph::new(header_lines);
frame.render_widget(header, chunks[0]);
@@ -264,7 +201,7 @@ fn build_session_lines(state: &crate::app::state::rest::AppStateRest) -> Vec<Lin
lines.push(Line::from(Span::raw("")));
lines.push(Line::from(Span::styled(
" Complex tasks auto-delegate to the company pipeline.",
" Complex tasks auto-trigger a hive-mind convergence.",
Style::default().fg(Theme::TEXT_DIM).add_modifier(Modifier::ITALIC),
)));