{"repo": "blueokanna/talk2u", "files": {"rust/src/api/data_models.rs": {"1d6fd7f3c63e04a567cdcaa1381564cc5681e743": {"t": 1785746246.1623309, "n": 8575, "h": "a11370422ad144c6", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    ContentDelta(String),\n    ThinkingDelta(String),\n    Done,\n    Error(String),\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    #[default]\n    Say,\n    Do,\n    Mixed,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    Free,\n    SayOnly,\n    DoOnly,\n    #[default]\n    Mixed,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    pub keywords: Vec<String>,\n    #[serde(default)]\n    pub compression_generation: u32,\n    #[serde(default)]\n    pub context_card: Option<MemoryContextCard>,\n    #[serde(default)]\n    pub fact_tiers: Vec<MemoryTier>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum CompressionImpactLevel {\n    Lossless,\n    StyleDrift,\n    PersonalityFade,\n    DetailLoss,\n    IdentityErosion,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n    #[serde(default = \"default_selected_provider\")]\n    pub selected_provider: String,\n    #[serde(default = \"default_providers_json\")]\n    pub providers_json: String,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ProviderConfig {\n    pub id: String,\n    pub name: String,\n    pub api_key: Option<String>,\n    pub api_url: String,\n    pub chat_model: String,\n    pub thinking_model: Option<String>,\n    pub protocol: String,\n    #[serde(default = \"default_provider_max_output_tokens\")]\n    pub max_output_tokens: u32,\n}\n\nimpl ProviderConfig {\n    pub fn is_configured(&self) -> bool {\n        !self.api_url.trim().is_empty()\n            && !self.chat_model.trim().is_empty()\n            && (!self.requires_api_key()\n                || self\n                    .api_key\n                    .as_deref()\n                    .map(str::trim)\n                    .is_some_and(|key| !key.is_empty()))\n            && self.max_output_tokens > 0\n    }\n\n    pub fn requires_api_key(&self) -> bool {\n        self.id != \"custom\" || self.protocol.eq_ignore_ascii_case(\"anthropic\")\n    }\n}\n\nfn default_provider_max_output_tokens() -> u32 {\n    4096\n}\n\nfn default_selected_provider() -> String {\n    \"zhipu\".to_string()\n}\n\npub fn default_provider_configs() -> Vec<ProviderConfig> {\n    vec![\n        ProviderConfig {\n            id: \"zhipu\".to_string(),\n            name: \"智谱清言\".to_string(),\n            api_key: None,\n            api_url: \"https://open.bigmodel.cn/api/paas/v4/chat/completions\".to_string(),\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: Some(\"glm-4-air\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"deepseek\".to_string(),\n            name: \"DeepSeek\".to_string(),\n            api_key: None,\n            api_url: \"https://api.deepseek.com/chat/completions\".to_string(),\n            chat_model: \"deepseek-chat\".to_string(),\n            thinking_model: Some(\"deepseek-reasoner\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"openai\".to_string(),\n            name: \"OpenAI\".to_string(),\n            api_key: None,\n            api_url: \"https://api.openai.com/v1/chat/completions\".to_string(),\n            chat_model: \"gpt-4.1-mini\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"anthropic\".to_string(),\n            name: \"Anthropic\".to_string(),\n            api_key: None,\n            api_url: \"https://api.anthropic.com/v1/messages\".to_string(),\n            chat_model: \"claude-sonnet-4-5\".to_string(),\n            thinking_model: None,\n            protocol: \"anthropic\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"kimi\".to_string(),\n            name: \"Kimi\".to_string(),\n            api_key: None,\n            api_url: \"https://api.moonshot.cn/v1/chat/completions\".to_string(),\n            chat_model: \"moonshot-v1-8k\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n        ProviderConfig {\n            id: \"qwen\".to_string(),\n            name: \"Qwen（通义千问）\".to_string(),\n            api_key: None,\n            api_url: \"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\"\n                .to_string(),\n            chat_model: \"qwen-plus\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"custom\".to_string(),\n            name: \"自定义 OpenAI 兼容接口\".to_string(),\n            api_key: None,\n            api_url: String::new(),\n            chat_model: String::new(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n    ]\n}\n\nfn default_providers_json() -> String {\n    serde_json::to_string(&default_provider_configs()).unwrap_or_else(|_| \"[]\".to_string())\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n            selected_provider: default_selected_provider(),\n            providers_json: default_providers_json(),\n        }\n    }\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    pub context_tokens: usize,\n    pub max_output_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemoryContextCard {\n    pub source_range: String,\n    pub topic_tags: Vec<String>,\n    pub key_entities: Vec<String>,\n    pub emotional_tone: String,\n    pub causal_links: Vec<String>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum MemoryTier {\n    Identity,\n    CriticalEvent,\n    RelationshipDynamic,\n    CurrentState,\n    SceneDetail,\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct DistilledSystemState {\n    pub core_prompt: String,\n    pub last_memory_count: usize,\n    pub last_max_compression_gen: u32,\n    pub character_prompt_hash: u64,\n    pub last_turn_count: u32,\n    pub distilled_at: i64,\n    pub core_facts_snapshot: Vec<String>,\n}\n"}, "232e5b6f47b8f0a3c24a636771565d359c6bb48d": {"t": 1785761053.5187578, "n": 8575, "h": "a11370422ad144c6", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    ContentDelta(String),\n    ThinkingDelta(String),\n    Done,\n    Error(String),\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    #[default]\n    Say,\n    Do,\n    Mixed,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    Free,\n    SayOnly,\n    DoOnly,\n    #[default]\n    Mixed,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    pub keywords: Vec<String>,\n    #[serde(default)]\n    pub compression_generation: u32,\n    #[serde(default)]\n    pub context_card: Option<MemoryContextCard>,\n    #[serde(default)]\n    pub fact_tiers: Vec<MemoryTier>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum CompressionImpactLevel {\n    Lossless,\n    StyleDrift,\n    PersonalityFade,\n    DetailLoss,\n    IdentityErosion,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n    #[serde(default = \"default_selected_provider\")]\n    pub selected_provider: String,\n    #[serde(default = \"default_providers_json\")]\n    pub providers_json: String,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ProviderConfig {\n    pub id: String,\n    pub name: String,\n    pub api_key: Option<String>,\n    pub api_url: String,\n    pub chat_model: String,\n    pub thinking_model: Option<String>,\n    pub protocol: String,\n    #[serde(default = \"default_provider_max_output_tokens\")]\n    pub max_output_tokens: u32,\n}\n\nimpl ProviderConfig {\n    pub fn is_configured(&self) -> bool {\n        !self.api_url.trim().is_empty()\n            && !self.chat_model.trim().is_empty()\n            && (!self.requires_api_key()\n                || self\n                    .api_key\n                    .as_deref()\n                    .map(str::trim)\n                    .is_some_and(|key| !key.is_empty()))\n            && self.max_output_tokens > 0\n    }\n\n    pub fn requires_api_key(&self) -> bool {\n        self.id != \"custom\" || self.protocol.eq_ignore_ascii_case(\"anthropic\")\n    }\n}\n\nfn default_provider_max_output_tokens() -> u32 {\n    4096\n}\n\nfn default_selected_provider() -> String {\n    \"zhipu\".to_string()\n}\n\npub fn default_provider_configs() -> Vec<ProviderConfig> {\n    vec![\n        ProviderConfig {\n            id: \"zhipu\".to_string(),\n            name: \"智谱清言\".to_string(),\n            api_key: None,\n            api_url: \"https://open.bigmodel.cn/api/paas/v4/chat/completions\".to_string(),\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: Some(\"glm-4-air\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"deepseek\".to_string(),\n            name: \"DeepSeek\".to_string(),\n            api_key: None,\n            api_url: \"https://api.deepseek.com/chat/completions\".to_string(),\n            chat_model: \"deepseek-chat\".to_string(),\n            thinking_model: Some(\"deepseek-reasoner\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"openai\".to_string(),\n            name: \"OpenAI\".to_string(),\n            api_key: None,\n            api_url: \"https://api.openai.com/v1/chat/completions\".to_string(),\n            chat_model: \"gpt-4.1-mini\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"anthropic\".to_string(),\n            name: \"Anthropic\".to_string(),\n            api_key: None,\n            api_url: \"https://api.anthropic.com/v1/messages\".to_string(),\n            chat_model: \"claude-sonnet-4-5\".to_string(),\n            thinking_model: None,\n            protocol: \"anthropic\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"kimi\".to_string(),\n            name: \"Kimi\".to_string(),\n            api_key: None,\n            api_url: \"https://api.moonshot.cn/v1/chat/completions\".to_string(),\n            chat_model: \"moonshot-v1-8k\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n        ProviderConfig {\n            id: \"qwen\".to_string(),\n            name: \"Qwen（通义千问）\".to_string(),\n            api_key: None,\n            api_url: \"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\"\n                .to_string(),\n            chat_model: \"qwen-plus\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"custom\".to_string(),\n            name: \"自定义 OpenAI 兼容接口\".to_string(),\n            api_key: None,\n            api_url: String::new(),\n            chat_model: String::new(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n    ]\n}\n\nfn default_providers_json() -> String {\n    serde_json::to_string(&default_provider_configs()).unwrap_or_else(|_| \"[]\".to_string())\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n            selected_provider: default_selected_provider(),\n            providers_json: default_providers_json(),\n        }\n    }\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    pub context_tokens: usize,\n    pub max_output_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemoryContextCard {\n    pub source_range: String,\n    pub topic_tags: Vec<String>,\n    pub key_entities: Vec<String>,\n    pub emotional_tone: String,\n    pub causal_links: Vec<String>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum MemoryTier {\n    Identity,\n    CriticalEvent,\n    RelationshipDynamic,\n    CurrentState,\n    SceneDetail,\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct DistilledSystemState {\n    pub core_prompt: String,\n    pub last_memory_count: usize,\n    pub last_max_compression_gen: u32,\n    pub character_prompt_hash: u64,\n    pub last_turn_count: u32,\n    pub distilled_at: i64,\n    pub core_facts_snapshot: Vec<String>,\n}\n"}, "660c3ded72b3a5dd25e8402af3e8d3a7463a66be": {"t": 1785761054.9851255, "n": 8926, "h": "7fcc1e49a4d6f6bf", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    ContentDelta(String),\n    ThinkingDelta(String),\n    Done,\n    Error(String),\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    #[default]\n    Say,\n    Do,\n    Mixed,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    Free,\n    SayOnly,\n    DoOnly,\n    #[default]\n    Mixed,\n}\n\n/// 对话\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    pub keywords: Vec<String>,\n    #[serde(default)]\n    pub compression_generation: u32,\n    #[serde(default)]\n    pub context_card: Option<MemoryContextCard>,\n    #[serde(default)]\n    pub fact_tiers: Vec<MemoryTier>,\n}\n\n/// 压缩影响等级 — 随压缩代数递增，逐步影响不同维度\n/// Gen 0-1: 无损（完整保留所有信息）\n/// Gen 2-3: 语气/表达风格可能轻微偏移\n/// Gen 4-5: 性格细节可能模糊（如口癖频率降低）\n/// Gen 6-7: 次要关系/金钱等数值细节可能丢失\n/// Gen 8+:  身份设定的边缘属性可能受影响（核心身份仍保留）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum CompressionImpactLevel {\n    Lossless,\n    StyleDrift,\n    PersonalityFade,\n    DetailLoss,\n    IdentityErosion,\n}\n\n/// 对话摘要（用于列表展示）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n    #[serde(default = \"default_selected_provider\")]\n    pub selected_provider: String,\n    #[serde(default = \"default_providers_json\")]\n    pub providers_json: String,\n}\n\n/// A saved LLM endpoint. `protocol` is either `openai` or `anthropic`.\n/// Custom endpoints intentionally use the OpenAI-compatible wire format.\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ProviderConfig {\n    pub id: String,\n    pub name: String,\n    pub api_key: Option<String>,\n    pub api_url: String,\n    pub chat_model: String,\n    pub thinking_model: Option<String>,\n    pub protocol: String,\n    #[serde(default = \"default_provider_max_output_tokens\")]\n    pub max_output_tokens: u32,\n}\n\nimpl ProviderConfig {\n    pub fn is_configured(&self) -> bool {\n        !self.api_url.trim().is_empty()\n            && !self.chat_model.trim().is_empty()\n            && (!self.requires_api_key()\n                || self\n                    .api_key\n                    .as_deref()\n                    .map(str::trim)\n                    .is_some_and(|key| !key.is_empty()))\n            && self.max_output_tokens > 0\n    }\n\n    pub fn requires_api_key(&self) -> bool {\n        self.id != \"custom\" || self.protocol.eq_ignore_ascii_case(\"anthropic\")\n    }\n}\n\nfn default_provider_max_output_tokens() -> u32 {\n    4096\n}\n\nfn default_selected_provider() -> String {\n    \"zhipu\".to_string()\n}\n\npub fn default_provider_configs() -> Vec<ProviderConfig> {\n    vec![\n        ProviderConfig {\n            id: \"zhipu\".to_string(),\n            name: \"智谱清言\".to_string(),\n            api_key: None,\n            api_url: \"https://open.bigmodel.cn/api/paas/v4/chat/completions\".to_string(),\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: Some(\"glm-4-air\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"deepseek\".to_string(),\n            name: \"DeepSeek\".to_string(),\n            api_key: None,\n            api_url: \"https://api.deepseek.com/chat/completions\".to_string(),\n            chat_model: \"deepseek-chat\".to_string(),\n            thinking_model: Some(\"deepseek-reasoner\".to_string()),\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"openai\".to_string(),\n            name: \"OpenAI\".to_string(),\n            api_key: None,\n            api_url: \"https://api.openai.com/v1/chat/completions\".to_string(),\n            chat_model: \"gpt-4.1-mini\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 16_384,\n        },\n        ProviderConfig {\n            id: \"anthropic\".to_string(),\n            name: \"Anthropic\".to_string(),\n            api_key: None,\n            api_url: \"https://api.anthropic.com/v1/messages\".to_string(),\n            chat_model: \"claude-sonnet-4-5\".to_string(),\n            thinking_model: None,\n            protocol: \"anthropic\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"kimi\".to_string(),\n            name: \"Kimi\".to_string(),\n            api_key: None,\n            api_url: \"https://api.moonshot.cn/v1/chat/completions\".to_string(),\n            chat_model: \"moonshot-v1-8k\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n        ProviderConfig {\n            id: \"qwen\".to_string(),\n            name: \"Qwen（通义千问）\".to_string(),\n            api_key: None,\n            api_url: \"https://dashscope.aliyuncs.com/compatible-mode/v1/chat/completions\"\n                .to_string(),\n            chat_model: \"qwen-plus\".to_string(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 8_192,\n        },\n        ProviderConfig {\n            id: \"custom\".to_string(),\n            name: \"自定义 OpenAI 兼容接口\".to_string(),\n            api_key: None,\n            api_url: String::new(),\n            chat_model: String::new(),\n            thinking_model: None,\n            protocol: \"openai\".to_string(),\n            max_output_tokens: 4_096,\n        },\n    ]\n}\n\nfn default_providers_json() -> String {\n    serde_json::to_string(&default_provider_configs()).unwrap_or_else(|_| \"[]\".to_string())\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n            selected_provider: default_selected_provider(),\n            providers_json: default_providers_json(),\n        }\n    }\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    pub context_tokens: usize,\n    pub max_output_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemoryContextCard {\n    pub source_range: String,\n    pub topic_tags: Vec<String>,\n    pub key_entities: Vec<String>,\n    pub emotional_tone: String,\n    pub causal_links: Vec<String>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum MemoryTier {\n    Identity,\n    CriticalEvent,\n    RelationshipDynamic,\n    CurrentState,\n    SceneDetail,\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct DistilledSystemState {\n    pub core_prompt: String,\n    pub last_memory_count: usize,\n    pub last_max_compression_gen: u32,\n    pub character_prompt_hash: u64,\n    pub last_turn_count: u32,\n    pub distilled_at: i64,\n    pub core_facts_snapshot: Vec<String>,\n}\n"}, "885b8827332b60371ee5474bb0f7aa38d4e0238a": {"t": 1785761056.3127632, "n": 4440, "h": "0003bcaf4783ba69", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    ContentDelta(String),\n    ThinkingDelta(String),\n    Done,\n    Error(String),\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    #[default]\n    Say,\n    Do,\n    Mixed,\n}\n\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n#[derive(Default)]\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    Free,\n    SayOnly,\n    DoOnly,\n    #[default]\n    Mixed,\n}\n\n\n/// 对话\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    pub keywords: Vec<String>,\n    #[serde(default)]\n    pub compression_generation: u32,\n    #[serde(default)]\n    pub context_card: Option<MemoryContextCard>,\n    #[serde(default)]\n    pub fact_tiers: Vec<MemoryTier>,\n}\n\n/// 压缩影响等级 — 随压缩代数递增，逐步影响不同维度\n/// Gen 0-1: 无损（完整保留所有信息）\n/// Gen 2-3: 语气/表达风格可能轻微偏移\n/// Gen 4-5: 性格细节可能模糊（如口癖频率降低）\n/// Gen 6-7: 次要关系/金钱等数值细节可能丢失\n/// Gen 8+:  身份设定的边缘属性可能受影响（核心身份仍保留）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum CompressionImpactLevel {\n    Lossless,\n    StyleDrift,\n    PersonalityFade,\n    DetailLoss,\n    IdentityErosion,\n}\n\n/// 对话摘要（用于列表展示）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n        }\n    }\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    pub context_tokens: usize,\n    pub max_output_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemoryContextCard {\n    pub source_range: String,\n    pub topic_tags: Vec<String>,\n    pub key_entities: Vec<String>,\n    pub emotional_tone: String,\n    pub causal_links: Vec<String>,\n}\n\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum MemoryTier {\n    Identity,\n    CriticalEvent,\n    RelationshipDynamic,\n    CurrentState,\n    SceneDetail,\n}\n\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct DistilledSystemState {\n    pub core_prompt: String,\n    pub last_memory_count: usize,\n    pub last_max_compression_gen: u32,\n    pub character_prompt_hash: u64,\n    pub last_turn_count: u32,\n    pub distilled_at: i64,\n    pub core_facts_snapshot: Vec<String>,\n}\n"}, "b0ac5f3b2f6ba8ce84beaa85f5995beda092f8b1": {"t": 1785761057.8129475, "n": 5334, "h": "38ef73965cd9e0d5", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n/// 聊天流事件 - 通过 flutter_rust_bridge Stream 传递给 Flutter\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    /// 正常内容增量\n    ContentDelta(String),\n    /// 思考内容增量\n    ThinkingDelta(String),\n    /// 流结束\n    Done,\n    /// 错误\n    Error(String),\n}\n\n/// 消息类型标记：say（对话）或 do（动作/旁白）\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    Say,\n    Do,\n    Mixed, // 同时包含 say 和 do\n}\n\nimpl Default for MessageType {\n    fn default() -> Self {\n        MessageType::Say\n    }\n}\n\n/// 单条消息\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n/// 消息角色\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n/// 对话风格\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    /// 默认自由对话\n    Free,\n    /// 纯对话模式（say only）\n    SayOnly,\n    /// 纯动作/旁白模式（do only）\n    DoOnly,\n    /// 混合模式（say + do 自动识别）\n    Mixed,\n}\n\nimpl Default for DialogueStyle {\n    fn default() -> Self {\n        DialogueStyle::Mixed\n    }\n}\n\n/// 对话\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n/// 记忆摘要条目\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    /// 核心身份/事件等不可变信息\n    pub core_facts: Vec<String>,\n    /// 涵盖的消息范围 [start_turn, end_turn]\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    /// BM25 关键词索引\n    pub keywords: Vec<String>,\n    /// 压缩代数：每次被合并/压缩时 +1，代数越高信息损耗风险越大\n    #[serde(default)]\n    pub compression_generation: u32,\n    /// 上下文增强卡片 — 结构化元信息，提升检索精度\n    #[serde(default)]\n    pub context_card: Option<MemoryContextCard>,\n    /// 每条核心事实的排级分类，与 core_facts 一一对应\n    #[serde(default)]\n    pub fact_tiers: Vec<MemoryTier>,\n}\n\n/// 压缩影响等级 — 随压缩代数递增，逐步影响不同维度\n/// Gen 0-1: 无损（完整保留所有信息）\n/// Gen 2-3: 语气/表达风格可能轻微偏移\n/// Gen 4-5: 性格细节可能模糊（如口癖频率降低）\n/// Gen 6-7: 次要关系/金钱等数值细节可能丢失\n/// Gen 8+:  身份设定的边缘属性可能受影响（核心身份仍保留）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum CompressionImpactLevel {\n    /// 无损：所有信息完整保留\n    Lossless,\n    /// 风格微调：语气、表达习惯可能轻微变化\n    StyleDrift,\n    /// 性格模糊：性格细节开始模糊\n    PersonalityFade,\n    /// 细节丢失：金钱数值、次要关系等可能不精确\n    DetailLoss,\n    /// 深度退化：身份边缘属性可能受影响\n    IdentityErosion,\n}\n\n/// 对话摘要（用于列表展示）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n/// 应用设置\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n        }\n    }\n}\n\n/// 模型信息\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    /// 最大输入上下文 token 数\n    pub context_tokens: usize,\n    /// 最大输出 token 数\n    pub max_output_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n/// 记忆上下文增强卡片 — 为每条记忆附加结构化元信息\n/// 参考智谱上下文增强技术：为知识切片\"恢复记忆\"\n/// 包含来源信息、主题概括、关键实体、歧义消除\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemoryContextCard {\n    /// 来源：涵盖的轮次范围描述\n    pub source_range: String,\n    /// 主题标签（1-3个关键词）\n    pub topic_tags: Vec<String>,\n    /// 关键实体（人物、地点、物品等）\n    pub key_entities: Vec<String>,\n    /// 情感基调（正/负/中性 + 强度）\n    pub emotional_tone: String,\n    /// 因果关联：与其他记忆的关联描述\n    pub causal_links: Vec<String>,\n}\n\n/// 分级压缩排级 — 类似军队排级的信息优先级\n/// 当记忆条目过多需要二次压缩时，按排级决定保留优先级\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub enum MemoryTier {\n    /// 最高级：身份锚点（姓名、核心设定、与用户关系）— 永不丢弃\n    Identity,\n    /// 高级：不可逆事件（关键转折、承诺、约定）— 极少丢弃\n    CriticalEvent,\n    /// 中级：关系动态（亲密度变化、信任变化）— 可合并但不丢弃\n    RelationshipDynamic,\n    /// 普通：状态信息（当前情绪、物理状态）— 可被最新状态覆盖\n    CurrentState,\n    /// 低级：场景细节（氛围、环境描写）— 可安全丢弃\n    SceneDetail,\n}\n\n/// 记忆检索结果\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n"}, "11bb6170fb0c9acfaac81a9fe1fa48fe1b46d0af": {"t": 1785761058.974718, "n": 3577, "h": "b54005c239242003", "c": "use flutter_rust_bridge::frb;\nuse serde::{Deserialize, Serialize};\n\n/// 聊天流事件 - 通过 flutter_rust_bridge Stream 传递给 Flutter\n#[frb]\n#[derive(Debug, Clone)]\npub enum ChatStreamEvent {\n    /// 正常内容增量\n    ContentDelta(String),\n    /// 思考内容增量\n    ThinkingDelta(String),\n    /// 流结束\n    Done,\n    /// 错误\n    Error(String),\n}\n\n/// 消息类型标记：say（对话）或 do（动作/旁白）\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageType {\n    Say,\n    Do,\n    Mixed, // 同时包含 say 和 do\n}\n\nimpl Default for MessageType {\n    fn default() -> Self {\n        MessageType::Say\n    }\n}\n\n/// 单条消息\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Message {\n    pub id: String,\n    pub role: MessageRole,\n    pub content: String,\n    pub thinking_content: Option<String>,\n    pub model: String,\n    pub timestamp: i64,\n    #[serde(default)]\n    pub message_type: MessageType,\n}\n\n/// 消息角色\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum MessageRole {\n    User,\n    Assistant,\n    System,\n}\n\n/// 对话风格\n#[frb]\n#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]\npub enum DialogueStyle {\n    /// 默认自由对话\n    Free,\n    /// 纯对话模式（say only）\n    SayOnly,\n    /// 纯动作/旁白模式（do only）\n    DoOnly,\n    /// 混合模式（say + do 自动识别）\n    Mixed,\n}\n\nimpl Default for DialogueStyle {\n    fn default() -> Self {\n        DialogueStyle::Mixed\n    }\n}\n\n/// 对话\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct Conversation {\n    pub id: String,\n    pub title: String,\n    pub messages: Vec<Message>,\n    pub model: String,\n    pub created_at: i64,\n    pub updated_at: i64,\n    #[serde(default)]\n    pub dialogue_style: DialogueStyle,\n    #[serde(default)]\n    pub turn_count: u32,\n    #[serde(default)]\n    pub memory_summaries: Vec<MemorySummary>,\n}\n\n/// 记忆摘要条目\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct MemorySummary {\n    pub id: String,\n    pub summary: String,\n    /// 核心身份/事件等不可变信息\n    pub core_facts: Vec<String>,\n    /// 涵盖的消息范围 [start_turn, end_turn]\n    pub turn_range_start: u32,\n    pub turn_range_end: u32,\n    pub created_at: i64,\n    /// BM25 关键词索引\n    pub keywords: Vec<String>,\n}\n\n/// 对话摘要（用于列表展示）\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct ConversationSummary {\n    pub id: String,\n    pub title: String,\n    pub last_message_preview: String,\n    pub model: String,\n    pub updated_at: i64,\n}\n\n/// 应用设置\n#[frb]\n#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]\npub struct AppSettings {\n    pub api_key: Option<String>,\n    pub default_model: String,\n    pub enable_thinking_by_default: bool,\n    #[serde(default = \"default_chat_model\")]\n    pub chat_model: String,\n    #[serde(default = \"default_thinking_model\")]\n    pub thinking_model: String,\n}\n\nfn default_chat_model() -> String {\n    \"glm-4.7\".to_string()\n}\n\nfn default_thinking_model() -> String {\n    \"glm-4-air\".to_string()\n}\n\nimpl Default for AppSettings {\n    fn default() -> Self {\n        Self {\n            api_key: None,\n            default_model: \"glm-4.7\".to_string(),\n            enable_thinking_by_default: true,\n            chat_model: \"glm-4.7\".to_string(),\n            thinking_model: \"glm-4-air\".to_string(),\n        }\n    }\n}\n\n/// 模型信息\n#[frb]\n#[derive(Debug, Clone)]\npub struct ModelInfo {\n    pub id: String,\n    pub name: String,\n    pub context_tokens: usize,\n    pub supports_thinking: bool,\n}\n\n/// 记忆检索结果\n#[frb]\n#[derive(Debug, Clone)]\npub struct MemorySearchResult {\n    pub summary: String,\n    pub core_facts: Vec<String>,\n    pub relevance_score: f64,\n}\n"}}}}