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config: move agent_types list to config file

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Active agent types for consolidation cycles are now read from
config.json5 memory.agent_types instead of being hardcoded in
scoring.rs. Adding or removing agents is a config change, not
a code change.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kent Overstreet 2026-03-20 14:04:47 -04:00
parent d20baafe9d
commit f0086e2eaf
2 changed files with 17 additions and 2 deletions
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14
poc-memory/src/config.rs
View file

@ -63,6 +63,8 @@ pub struct Config {
pub api_model: Option<String>, pub api_model: Option<String>,
/// Reasoning effort for API calls ("none", "low", "medium", "high"). /// Reasoning effort for API calls ("none", "low", "medium", "high").
pub api_reasoning: String, pub api_reasoning: String,
/// Active agent types for consolidation cycles.
pub agent_types: Vec<String>,
} }
impl Default for Config { impl Default for Config {
@ -96,6 +98,10 @@ impl Default for Config {
api_key: None, api_key: None,
api_model: None, api_model: None,
api_reasoning: "high".to_string(), api_reasoning: "high".to_string(),
agent_types: vec![
"linker".into(), "organize".into(), "distill".into(),
"separator".into(), "split".into(),
],
} }
} }
} }
@ -186,6 +192,14 @@ impl Config {
if let Some(s) = mem.get("api_reasoning").and_then(|v| v.as_str()) { if let Some(s) = mem.get("api_reasoning").and_then(|v| v.as_str()) {
config.api_reasoning = s.to_string(); config.api_reasoning = s.to_string();
} }
if let Some(arr) = mem.get("agent_types").and_then(|v| v.as_array()) {
let types: Vec<String> = arr.iter()
.filter_map(|v| v.as_str().map(|s| s.to_string()))
.collect();
if !types.is_empty() {
config.agent_types = types;
}
}
// Resolve API settings from the shared model/backend config. // Resolve API settings from the shared model/backend config.
// memory.agent_model references a named model; we look up its // memory.agent_model references a named model; we look up its

5
poc-memory/src/neuro/scoring.rs
View file

@ -268,8 +268,9 @@ fn consolidation_plan_inner(store: &Store, detect_interf: bool) -> Consolidation
rationale: Vec::new(), rationale: Vec::new(),
}; };
// Active agent types // Active agent types from config
let agent_types = ["linker", "organize", "distill", "separator", "split"]; let config = crate::config::get();
let agent_types: Vec<&str> = config.agent_types.iter().map(|s| s.as_str()).collect();
// Target: α ≥ 2.5 (healthy scale-free) // Target: α ≥ 2.5 (healthy scale-free)
if alpha < 2.0 { if alpha < 2.0 {