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AgcAgentMode 回退为仅 codex/cc，只表示执行器；新增 AgcModelProtocol 表示线协议 协议取值 openai_responses/openai_chat/anthropic，与执行器组合封闭并在校验时失败关闭 存量目录缺 protocol 时按执行器推导；历史误写的 agentMode=anthropic 读取时归一为 cc 后台 AGC 模型页拆成 Agent 模式与协议两列，新增协议下拉与对应测试 公开目录 /api/llm/models 与后台 DTO 同时下发解析后的 protocol 客户端持久化 selectedModelProtocol，选模型时按执行器推导兜底协议并校验组合 Codex wire_api 按协议在 responses/chat 间切换，不再硬编码 responses 同步 appSurface 与模型选择测试断言，补 protocol 字段 同步模型别名文档与后端架构文档的正交维度说明
82 lines
2.3 KiB
Rust
82 lines
2.3 KiB
Rust
use serde::{Deserialize, Serialize};
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
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#[serde(rename_all = "snake_case")]
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pub enum LlmChatMessageRole {
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System,
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User,
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Assistant,
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
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pub struct LlmChatMessagePayload {
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pub role: LlmChatMessageRole,
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pub content: String,
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
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pub struct LlmChatCompletionRequest {
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#[serde(default)]
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pub model: Option<String>,
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#[serde(default)]
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pub stream: bool,
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pub messages: Vec<LlmChatMessagePayload>,
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}
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#[derive(Clone, Debug, Serialize, Deserialize, PartialEq, Eq)]
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#[serde(rename_all = "camelCase")]
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pub struct LlmChatCompletionResponse {
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pub id: Option<String>,
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pub model: String,
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pub content: String,
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pub finish_reason: Option<String>,
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use serde_json::json;
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#[test]
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fn llm_chat_completion_request_keeps_openai_compatible_field_names() {
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let payload = serde_json::to_value(LlmChatCompletionRequest {
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model: Some("doubao-test".to_string()),
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stream: false,
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messages: vec![
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LlmChatMessagePayload {
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role: LlmChatMessageRole::System,
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content: "系统".to_string(),
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},
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LlmChatMessagePayload {
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role: LlmChatMessageRole::User,
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content: "用户".to_string(),
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},
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],
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})
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.expect("payload should serialize");
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assert_eq!(payload["model"], json!("doubao-test"));
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assert_eq!(payload["stream"], json!(false));
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assert_eq!(payload["messages"][0]["role"], json!("system"));
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}
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}
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#[derive(Debug, serde::Serialize)]
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#[serde(rename_all = "camelCase")]
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pub struct LlmModelSummary {
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pub display_name: String,
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pub id: String,
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/// 执行器：`codex` 或 `cc`。
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pub agent_mode: String,
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/// 上游线协议，与执行器正交：`openai_responses` / `openai_chat` / `anthropic`。
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pub protocol: String,
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}
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#[derive(Debug, serde::Serialize)]
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#[serde(rename_all = "camelCase")]
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pub struct LlmModelsResponse {
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pub default_model_id: String,
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pub models: Vec<LlmModelSummary>,
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/// 模型目录版本，客户端据此做条件刷新。
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pub revision: u64,
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}
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