- agent/client: full jitter backoff (random(0, base_ms)) instead of equal jitter - agent/tool/executor: fix buffer_unordered ordering mismatch with HashMap-by-index approach for concurrent tool execution - agent/chat: AiChunkType emit fixes, is_retryable_tool_error refinements, process_react uses request.max_tool_depth - agent/chat/context: fix Function message sender_name field - file_tools/curl: shared reqwest::Client via OnceLock, manual redirect following with per-hop SSRF validation, blocked sensitive headers - file_tools/grep: fix case-insensitive glob matching, segment consumption - file_tools/json: bracket notation support, remove .vscodeignore from JSONC - git_tools: git_diff_stats resolve base/head independently, DiffFileOut old_file.path for Deleted, reflog offset_minutes - git/repo: create_commit read parent tree into index, bare repo init - project_tools/repos: branch/path validation, .git/ prefix check - service/agent: tokent integration, billing, pr_summary, code_review fixes
84 lines
2.3 KiB
Rust
84 lines
2.3 KiB
Rust
use std::pin::Pin;
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use async_openai::types::chat::ChatCompletionTool;
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use db::cache::AppCache;
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use db::database::AppDatabase;
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use models::agents::model;
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use models::projects::project;
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use models::repos::repo;
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use models::rooms::{room, room_message};
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use models::users::user;
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use config::AppConfig;
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use std::collections::HashMap;
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use uuid::Uuid;
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/// Maximum recursion rounds for tool-call loops (AI → tool → result → AI).
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/// Previous default of 3 caused frequent silent termination on realistic multi-step queries.
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pub const DEFAULT_MAX_TOOL_DEPTH: usize = 99;
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/// A single chunk from an AI streaming response.
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#[derive(Debug, Clone)]
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pub struct AiStreamChunk {
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pub content: String,
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pub done: bool,
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/// What kind of content this chunk contains — helps the frontend render
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/// thinking, tool calls, and results with different styles.
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pub chunk_type: AiChunkType,
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}
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/// Type of streaming chunk, used by the frontend for rendering.
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#[derive(Debug, Clone, PartialEq, Eq)]
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pub enum AiChunkType {
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/// AI reasoning/thinking text before a tool call or answer.
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Thinking,
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/// Final answer text from the AI.
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Answer,
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/// A tool call is being executed (content = tool name + args summary).
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ToolCall,
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/// Tool execution result (content = result or error).
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ToolResult,
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}
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impl Default for AiChunkType {
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fn default() -> Self {
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Self::Answer
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}
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}
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/// Optional streaming callback: called for each token chunk.
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pub type StreamCallback = Box<
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dyn Fn(AiStreamChunk) -> Pin<Box<dyn std::future::Future<Output = ()> + Send>> + Send + Sync,
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>;
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pub struct AiRequest {
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pub db: AppDatabase,
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pub cache: AppCache,
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pub config: AppConfig,
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pub model: model::Model,
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pub project: project::Model,
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pub sender: user::Model,
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pub room: room::Model,
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pub input: String,
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pub mention: Vec<Mention>,
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pub history: Vec<room_message::Model>,
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pub user_names: HashMap<Uuid, String>,
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pub temperature: f64,
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pub max_tokens: i32,
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pub top_p: f64,
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pub frequency_penalty: f64,
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pub presence_penalty: f64,
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pub think: bool,
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pub tools: Option<Vec<ChatCompletionTool>>,
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pub max_tool_depth: usize,
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}
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pub enum Mention {
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User(user::Model),
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Repo(repo::Model),
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}
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pub mod context;
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pub mod service;
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pub use context::{AiContextSenderType, RoomMessageContext};
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pub use service::ChatService;
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