docs: tambah doc comment, logging, dan inline comments di semua 255 file

Meliputi:
- File-level //! doc comment: tujuan file, alur kerja, komponen utama
- Function-level /// doc comment: apa, parameter, return, flow, edge cases
- Struct/enum/trait /// doc comment: peran, field docs
- Tracing logging (tracing::info!/debug!/trace!/warn!/error!) di setiap fungsi
- Inline comments untuk variable dan branching logic penting
- Seluruh 8 crates di workspace: zesdex-backend, zesdex-cms, zesdex-entities,
  zesdex-iam, zesdex-infra, zesdex-ipc, zesdex-middleware, zesdex-utils
- Build: 0 errors, 242/242 tests passed
This commit is contained in:
asepharyana
2026-07-19 17:05:47 +07:00
parent 6680795ce7
commit 5aaedbf787
255 changed files with 5666 additions and 743 deletions
@@ -1,7 +1,25 @@
//! Provider-facing DTOs: chat completion request, response, streaming types,
//! and the SSE stream parser.
//!
//! # Flow
//!
//! 1. **Request** — [`ChatRequest`] is built with model, messages, tools,
//! streaming options and sent to the LLM provider.
//! 2. **Response** — Non-streaming responses arrive as [`ChatResponse`] with
//! [`Choice`]s containing the full [`ChatMessage`](super::message::ChatMessage).
//! 3. **Streaming** — SSE chunks are fed into [`SseParser::feed`] which yields
//! [`StreamEvent`]s: token/text, reasoning, tool-call deltas, usage, done.
//!
//! # Components
//!
//! - `ChatRequest` / `StreamOptions` / `ToolDef` / `ToolFunctionDef` — outbound
//! - `ChatResponse` / `Choice` / `Delta` / `TokenUsage` — non-streaming inbound
//! - `StreamEvent` — one atomic streaming event (Token, Reasoning,
//! ToolCallDelta, Usage, Done, Error)
//! - `SseParser` — incremental SSE frame parser: `feed()` → `Vec<StreamEvent>`
use serde::{Deserialize, Serialize};
use serde_json::Value;
use tracing;
// ---------------------------------------------------------------------------
// Chat request / response
@@ -11,23 +29,32 @@ use serde_json::Value;
/// provider.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChatRequest {
/// Model identifier, e.g. `"anthropic/claude-opus-4-8"`.
pub model: String,
/// Full message history (system + user + assistant + tool turns).
pub messages: Vec<super::message::ChatMessage>,
/// Maximum number of output tokens.
#[serde(skip_serializing_if = "Option::is_none")]
pub max_tokens: Option<u32>,
/// Sampling temperature (0.0 2.0).
#[serde(skip_serializing_if = "Option::is_none")]
pub temperature: Option<f32>,
/// Tool definitions available to the model.
#[serde(skip_serializing_if = "Option::is_none")]
pub tools: Option<Vec<ToolDef>>,
/// Controls which (if any) function is called by the model.
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_choice: Option<Value>,
/// Whether to use SSE streaming (`true`) or a single response.
#[serde(skip_serializing_if = "Option::is_none")]
pub stream: Option<bool>,
/// Nucleus sampling threshold.
#[serde(skip_serializing_if = "Option::is_none")]
pub top_p: Option<f32>,
/// Sequences where the model should stop generation.
#[serde(skip_serializing_if = "Option::is_none")]
pub stop: Option<Vec<String>>,
/// Additional streaming options (e.g. `include_usage`).
#[serde(skip_serializing_if = "Option::is_none")]
pub stream_options: Option<StreamOptions>,
}
@@ -42,38 +69,53 @@ pub struct StreamOptions {
/// Wire format for a single tool definition sent to the provider.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolDef {
/// The tool type discriminator, e.g. `"function"`.
#[serde(rename = "type")]
pub type_: String,
/// The function definition (name, description, JSON schema).
pub function: ToolFunctionDef,
}
/// Name, description, and JSON schema parameters for a tool definition.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolFunctionDef {
/// The function name the model may invoke.
pub name: String,
/// Human-readable description of what the function does.
pub description: String,
/// JSON Schema object describing the expected arguments.
pub parameters: Value,
}
/// Non-streaming chat completion response returned by the provider.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChatResponse {
/// Unique response identifier from the provider.
pub id: String,
/// Object type, e.g. `"chat.completion"`.
pub object: Option<String>,
/// Model identifier that produced this response.
pub model: String,
/// One or more completion candidates.
pub choices: Vec<Choice>,
/// Token usage statistics (prompt, completion, total).
pub usage: Option<TokenUsage>,
/// Unix-timestamp of response creation.
pub created: Option<i64>,
}
/// One completion candidate within a `ChatResponse.choices` list.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Choice {
/// Zero-based index of this choice in the candidate list.
pub index: u32,
/// Full message (non-streaming response).
#[serde(skip_serializing_if = "Option::is_none")]
pub message: Option<super::message::ChatMessage>,
/// Incremental delta (streaming response).
#[serde(skip_serializing_if = "Option::is_none")]
pub delta: Option<Delta>,
/// Why the model stopped: `"stop"`, `"tool_calls"`, `"length"`, etc.
#[serde(skip_serializing_if = "Option::is_none")]
pub finish_reason: Option<String>,
}
@@ -81,10 +123,13 @@ pub struct Choice {
/// Incremental delta emitted in a streaming SSE chunk.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Delta {
/// Role being set for the first streaming chunk.
#[serde(skip_serializing_if = "Option::is_none")]
pub role: Option<super::message::Role>,
/// Incremental text content delta.
#[serde(skip_serializing_if = "Option::is_none")]
pub content: Option<String>,
/// Incremental tool-call delta (partial name/arguments).
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_calls: Option<Vec<super::tool_call::ToolCall>>,
}
@@ -92,11 +137,16 @@ pub struct Delta {
/// Token counts and optional cost breakdown for a single completion request.
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct TokenUsage {
/// Tokens consumed by the prompt (input).
pub prompt_tokens: u32,
/// Tokens consumed by the completion (output).
pub completion_tokens: u32,
/// Sum of prompt + completion tokens.
pub total_tokens: u32,
/// Estimated cost for prompt tokens (provider-specific).
#[serde(skip_serializing_if = "Option::is_none")]
pub prompt_tokens_cost: Option<f64>,
/// Estimated cost for completion tokens (provider-specific).
#[serde(skip_serializing_if = "Option::is_none")]
pub completion_tokens_cost: Option<f64>,
}
@@ -108,28 +158,41 @@ pub struct TokenUsage {
/// One atomic event extracted from an LLM streaming response stream.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StreamEvent {
/// An incremental text token.
Token(String),
/// An incremental reasoning token (Anthropic `reasoning_content`).
Reasoning(String),
/// An incremental tool-call delta (partial ID, name, or arguments).
ToolCallDelta {
/// Tool-call index (multiple calls in one response).
index: usize,
/// Optional tool-call ID (usually in the first delta for a call).
id: Option<String>,
/// Optional function name (usually in the first delta for a call).
name: Option<String>,
/// Partial JSON arguments delta for this tool call.
arguments_delta: String,
},
/// Final usage chunk with token counts.
Usage {
prompt_tokens: u64,
completion_tokens: u64,
total_tokens: u64,
},
/// Stream complete (all tokens have been delivered).
Done,
/// A stream-level error occurred.
Error(String),
}
/// Buffered SSE frame parser that accumulates raw `data:` lines and
/// flushes a `StreamEvent` on each blank-line boundary.
pub struct SseParser {
/// Leftover bytes from the last chunk that did not end with `\n`.
buffer: String,
/// The current `event:` type (set by `event:` lines, cleared on flush).
event_type: Option<String>,
/// Accumulated `data:` lines for the current event frame.
data_lines: Vec<String>,
}