first

.gitignore

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+**target
+**.lock

README.md

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+# ai gpt
+
+ai x 送信
+
+## 説明
+
+「人格 × 関係性 × 外部環境 × 時間変化」**を軸にした、自律的・関係性駆動のAIシステムの原型
+
+`送信可否`, `送信のタイミング`, `送信内容`が「人格 x 関係性 x 外部環境 x 時間変化」のパラメータで決定されます。
+

agent/main.rs

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+use std::env;
+use std::process::{Command, Stdio};
+use std::io::{self, Write};
+
+fn main() {
+    let args: Vec<String> = env::args().collect();
+    if args.len() < 2 {
+        eprintln!("Usage: langchain_cli <prompt>");
+        std::process::exit(1);
+    }
+
+    let prompt = &args[1];
+
+    // Simulate a pipeline stage: e.g., tokenization, reasoning, response generation
+    let stages = vec!["Tokenize", "Reason", "Generate"];
+
+    for stage in &stages {
+        println!("[Stage: {}] Processing...", stage);
+    }
+
+    // Example call to Python-based LangChain (assuming you have a script or API to call)
+    // For placeholder purposes, we echo the prompt back.
+    let output = Command::new("python3")
+        .arg("-c")
+        .arg(format!("print(\"LangChain Agent Response for: {}\")", prompt))
+        .stdout(Stdio::piped())
+        .spawn()
+        .expect("failed to execute process")
+        .wait_with_output()
+        .expect("failed to wait on child");
+
+    io::stdout().write_all(&output.stdout).unwrap();
+}
+
+/*
+TODO (for future LangChain-style pipeline):
+1. Implement trait-based agent components: Tokenizer, Retriever, Reasoner, Generator.
+2. Allow config via YAML or TOML to define chain flow.
+3. Async pipeline support with Tokio.
+4. Optional integration with LLM APIs (OpenAI, Ollama, etc).
+5. Rust-native vector search (e.g. using `tantivy`, `qdrant-client`).
+*/

ai-messenger/Cargo.toml

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+[package]
+name = "ai-messenger"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+serde = { version = "1.0", features = ["derive"] }
+serde_json = "1.0"

ai-messenger/config/config.json

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+{
+  "personality": {
+    "kind": "positive",
+    "strength": 0.8
+  },
+  "relationship": {
+    "trust": 0.7,
+    "intimacy": 0.6,
+    "curiosity": 0.5,
+    "threshold": 1.5
+  },
+  "environment": {
+    "luck_today": 0.9,
+    "luck_history": [0.9, 0.9, 0.9],
+    "level": 1
+  },
+  "messaging": {
+    "enabled": true,
+    "schedule_time": "08:00",
+    "decay_rate": 0.1,
+    "templates": [
+      "おはよう！今日もがんばろう！",
+      "ねえ、話したいことがあるの。"
+    ]
+  }
+}

ai-messenger/src/logic.rs

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+use crate::model::AiSystem;
+
+pub fn should_send(ai: &AiSystem) -> bool {
+    let r = &ai.relationship;
+    let env = &ai.environment;
+    let score = r.trust + r.intimacy + r.curiosity;
+    let relationship_ok = score >= r.threshold;
+    let luck_ok = env.luck_today > 0.5;
+
+    ai.messaging.enabled && relationship_ok && luck_ok
+}

ai-messenger/src/main.rs

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+mod model;
+
+use model::{AiSystem, Environment, Messaging, Personality, Relationship};
+use serde_json;
+
+fn main() {
+    // テスト用のAIシステム初期化
+    let ai = AiSystem {
+        personality: Personality {
+            kind: "positive".to_string(),
+            strength: 0.8,
+        },
+        relationship: Relationship {
+            trust: 0.7,
+            intimacy: 0.6,
+            curiosity: 0.5,
+            threshold: 1.5,
+        },
+        environment: Environment {
+            luck_today: 0.9,
+            luck_history: vec![0.9, 0.9, 0.9],
+            level: 1,
+        },
+        messaging: Messaging {
+            enabled: true,
+            schedule_time: Some("08:00".to_string()),
+            decay_rate: 0.1,
+            templates: vec![
+                "ねえねえ、今日もがんばろうね！".to_string(),
+                "そろそろ話したくなっちゃった...".to_string(),
+            ],
+        },
+    };
+
+    // JSONにシリアライズして表示
+    let json = serde_json::to_string_pretty(&ai).unwrap();
+    println!("{}", json);
+}

ai-messenger/src/model.rs

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+use serde::{Deserialize, Serialize};
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct AiSystem {
+    pub personality: Personality,
+    pub relationship: Relationship,
+    pub environment: Environment,
+    pub messaging: Messaging,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Personality {
+    pub kind: String, // e.g., "positive", "negative", "neutral"
+    pub strength: f32, // 0.0 - 1.0
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Relationship {
+    pub trust: f32,       // 0.0 - 1.0
+    pub intimacy: f32,    // 0.0 - 1.0
+    pub curiosity: f32,   // 0.0 - 1.0
+    pub threshold: f32,   // if sum > threshold, allow messaging
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Environment {
+    pub luck_today: f32,        // 0.1 - 1.0
+    pub luck_history: Vec<f32>, // last 3 values
+    pub level: i32,             // current mental strength level
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+pub struct Messaging {
+    pub enabled: bool,
+    pub schedule_time: Option<String>, // e.g., "08:00"
+    pub decay_rate: f32,               // how quickly emotion fades (0.0 - 1.0)
+    pub templates: Vec<String>,       // message template variations
+}

gpt.json

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+{
+  "system_name": "relational_autonomous_ai",
+  "description": "人格・関係性・環境・時間に基づき、AIが自律的にユーザーにメッセージを送信する仕組み",
+  "core_components": {
+    "personality": {
+      "type": "enum",
+      "variants": ["positive", "negative", "logical", "emotional", "mixed"],
+      "parameters": {
+        "message_trigger_style": "運勢との相互作用による送信傾向",
+        "decay_rate_modifier": "関係性スコアの時間減衰に対する耐性"
+      }
+    },
+    "relationship": {
+      "parameters": ["trust", "affection", "intimacy"],
+      "properties": {
+        "persistent": true,
+        "hidden": true,
+        "irreversible": false,
+        "decay_over_time": true
+      },
+      "decay_function": "exp(-t / strength)"
+    },
+    "environment": {
+      "daily_luck": {
+        "type": "float",
+        "range": [0.1, 1.0],
+        "update": "daily",
+        "streak_mechanism": {
+          "trigger": "min_or_max_luck_3_times_in_a_row",
+          "effect": "personality_strength_roll",
+          "chance": 0.5
+        }
+      }
+    },
+    "memory": {
+      "long_term_memory": "user_relationship_log",
+      "short_term_context": "recent_interactions",
+      "usage_in_generation": true
+    },
+    "message_trigger": {
+      "condition": {
+        "relationship_threshold": {
+          "trust": 0.8,
+          "affection": 0.6
+        },
+        "time_decay": true,
+        "environment_luck": "personality_dependent"
+      },
+      "timing": {
+        "based_on": ["time_of_day", "personality", "recent_interaction"],
+        "modifiers": {
+          "emotional": "morning or night",
+          "logical": "daytime"
+        }
+      }
+    },
+    "message_generation": {
+      "style_variants": ["thought", "casual", "encouragement", "watchful"],
+      "influenced_by": ["personality", "relationship", "daily_luck", "memory"],
+      "llm_integration": true
+    },
+    "state_transition": {
+      "states": ["idle", "ready", "sending", "cooldown"],
+      "transitions": {
+        "ready_if": "thresholds_met",
+        "sending_if": "timing_matched",
+        "cooldown_after": "message_sent"
+      }
+    }
+  },
+  "extensions": {
+    "persistence": {
+      "database": "sqlite",
+      "storage_items": ["relationship", "personality_level", "daily_luck_log"]
+    },
+    "api": {
+      "llm": "openai / local LLM",
+      "mode": "rust_cli",
+      "external_event_trigger": true
+    },
+    "scheduler": {
+      "async_event_loop": true,
+      "interval_check": 3600,
+      "time_decay_check": true
+    }
+  },
+  "note": "このシステムは、感情や関係性のような人間的要素を模倣し、AIが“自然に話しかけてくる”という自律型エージェント設計の土台となる。"
+}

self_talk_ai/Cargo.toml

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+[package]
+name = "self_talk_ai"
+version = "0.1.0"
+edition = "2021"
+
+[dependencies]
+chrono = "0.4"

self_talk_ai/src/main.rs

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+use chrono::{Duration, Local, NaiveDateTime};
+
+#[derive(Debug)]
+struct AIState {
+    relation_score: f32,
+    previous_score: f32,
+    decay_rate: f32,
+    sensitivity: f32,
+    message_threshold: f32,
+    last_message_time: NaiveDateTime,
+}
+
+impl AIState {
+    fn update(&mut self, now: NaiveDateTime) {
+        let days_passed = (now - self.last_message_time).num_days() as f32;
+        let decay = self.decay_rate * days_passed;
+        self.previous_score = self.relation_score;
+        self.relation_score -= decay;
+        self.relation_score = self.relation_score.clamp(0.0, 100.0);
+    }
+
+    fn should_talk(&self) -> bool {
+        let delta = self.previous_score - self.relation_score;
+        delta > self.message_threshold && self.sensitivity > 0.5
+    }
+
+    fn generate_message(&self) -> String {
+        let _delta = self.previous_score - self.relation_score;
+        match self.relation_score as i32 {
+            80..=100 => "ふふっ、最近どうしてる？会いたくなっちゃった！".to_string(),
+            60..=79 => "ちょっとだけ、さみしかったんだよ？".to_string(),
+            40..=59 => "えっと……話せる時間ある？".to_string(),
+            _ => "ううん、もしかして私のこと、忘れちゃったのかな……".to_string(),
+        }
+    }
+}
+
+fn main() {
+    let now = Local::now().naive_local();
+    let mut ai = AIState {
+        relation_score: 80.0,
+        previous_score: 80.0,
+        decay_rate: 1.5,            // 1日あたりの減少スコア
+        sensitivity: 0.8,
+        message_threshold: 5.0,
+        last_message_time: now - Duration::days(4), // 最後の会話から4日経過
+    };
+
+    ai.update(now);
+
+    if ai.should_talk() {
+        println!("AI発話: {}", ai.generate_message());
+    } else {
+        println!("まだ何も言わずにそっとしているようです...");
+    }
+}