Struct SelfModel 

pub struct SelfModel {
    pub self_context: Vec<Message>,
    pub user_context: Vec<Message>,
    pub collective_context: Vec<Message>,
}

The agent’s model of itself and its context.

Users populate these — the library provides the structure. The cognitive graph reads from all three during processing.

Example

use pe_core::self_model::SelfModel;
use pe_core::Message;

let model = SelfModel::new()
    .with_self_context(vec![Message::system("I am a code review agent.")]);
assert_eq!(model.self_context.len(), 1);

Fields

self_context: Vec<Message>

Self-awareness: what am I? capabilities, limits, strengths, weaknesses.

user_context: Vec<Message>

User model: who am I talking to? expertise, preferences, history.

collective_context: Vec<Message>

Collective context: team goal, shared knowledge, other agents’ findings.

Implementations

impl SelfModel

pub fn new() -> Self

Create an empty self-model.

pub fn with_self_context(self, messages: Vec<Message>) -> Self

Set self-awareness context.

pub fn with_user_context(self, messages: Vec<Message>) -> Self

Set user model context.

pub fn with_collective_context(self, messages: Vec<Message>) -> Self

Set collective context.

Trait Implementations

impl Clone for SelfModel

fn clone(&self) -> SelfModel

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for SelfModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SelfModel

fn default() -> SelfModel

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for SelfModel

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SelfModel

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.