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
@@ -1,17 +1,39 @@
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//! In-memory conversation state: message history plus the system prompt and
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//! model parameters used to drive the LLM.
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//!
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//! # Flow
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//!
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//! [`Conversation::new`] → [`push`](Conversation::push) to add messages →
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//! [`to_api_messages`](Conversation::to_api_messages) to format for the LLM
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//! API (system prompt prepended). Persisted via [`save_conversation`](Conversation::save_conversation)
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//! and loaded via [`load_conversation`](Conversation::load_conversation).
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//! The system prompt can be hot-swapped via [`rebuild_system`](Conversation::rebuild_system).
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//!
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//! # Components
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//!
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//! - `Conversation` — message vector + session metadata + generation params
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//! - `push` / `rebuild_system` — mutation helpers
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//! - `to_api_messages` — formats messages for API consumption
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//! - `save_conversation` / `load_conversation` — filesystem persistence
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use serde::{Deserialize, Serialize};
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use tracing;
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use super::message::{ChatMessage, Role};
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/// A single conversation's message history and generation settings.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct Conversation {
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/// Ordered list of chat messages (user, assistant, tool, system).
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pub messages: Vec<ChatMessage>,
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/// System prompt prepended at request time (see `to_api_messages`).
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pub system_prompt: String,
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/// Foreign key referencing the owning session.
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pub session_id: String,
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/// Model identifier string, e.g. `"anthropic/claude-opus-4-8"`.
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pub model: String,
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/// Optional cap on output tokens.
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pub max_tokens: Option<u32>,
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/// Optional temperature (0.0 – 2.0).
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pub temperature: Option<f32>,
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}
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@@ -78,6 +100,7 @@ impl Conversation {
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let dir = base_dir.join("sessions").join(&self.session_id);
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std::fs::create_dir_all(&dir)?;
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let path = dir.join("conversation.json");
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tracing::debug!(session_id = %self.session_id, path = %path.display(), "saving conversation");
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zesdex_utils::write_json_atomic(&path, self, None)?;
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Ok(())
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}
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@@ -97,7 +120,8 @@ impl Conversation {
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.join("sessions")
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.join(session_id)
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.join("conversation.json");
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let data = std::fs::read_to_string(path)?;
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tracing::debug!(session_id = %session_id, path = %path.display(), "loading conversation");
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let data = std::fs::read_to_string(&path)?;
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let conv: Conversation = serde_json::from_str(&data)?;
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Ok(conv)
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}
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@@ -1,8 +1,20 @@
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//! Chat message types shared across the entity layer: `Role` and `ChatMessage`
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//! with convenience constructors.
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//! Chat message types shared across the entity layer.
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//!
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//! Provides [`Role`] (conversation participant) and [`ChatMessage`] (a single
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//! message with optional tool-call metadata). Includes convenience constructors
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//! for each role: `user`, `assistant`, `system`, `tool`/`tool_result`.
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//!
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//! # Flow
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//!
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//! Messages are constructed via the typed constructors → pushed into
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//! [`Conversation`](super::conversation::Conversation) → serialized as JSON
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//! to `conversation.json`.
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use serde::{Deserialize, Serialize};
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/// The conversation participant who authored a message.
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///
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/// Variants: `User`, `Assistant`, `System`, `Tool`. Serialized as lowercase
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/// strings (e.g. `"user"`, `"assistant"`, `"system"`, `"tool"`).
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#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
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pub enum Role {
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#[serde(rename = "user")]
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@@ -37,12 +49,18 @@ impl std::fmt::Display for Role {
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/// chat-completion API structures.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ChatMessage {
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/// Who sent this message (user, assistant, system, tool).
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pub role: Role,
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/// The message text content. `None` for assistant messages that only
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/// contain tool calls.
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pub content: Option<String>,
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/// Tool-call requests attached to an assistant message (OpenAI-style).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub tool_calls: Option<Vec<super::tool_call::ToolCall>>,
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/// For tool-role messages: the `id` of the `ToolCall` being responded to.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub tool_call_id: Option<String>,
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/// Optional function name for the tool invocation.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub name: Option<String>,
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}
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@@ -1,6 +1,20 @@
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//! Common entity types shared across the Zesdex application: application
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//! configuration, settings, store paths, conversations, messages, tool
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//! calls, usage stats, and SSE streaming types.
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//! Common entity types shared across the Zesdex application.
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//!
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//! Contains pure data structures for conversations, messages, tool calls,
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//! usage statistics, provider API types (chat request/response, SSE stream),
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//! and store path configuration. All types derive `Serialize`/`Deserialize`
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//! and are persisted as JSON files.
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//!
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//! # Sub-modules
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//!
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//! - [`conversation`] — Ordered conversation (vector of `ChatMessage`)
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//! - [`message`] — `ChatMessage` + `Role` enum
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//! - [`provider`] — LLM provider API types: `ChatRequest`, `ChatResponse`,
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//! `StreamEvent`, `SseParser`, `ToolDef`, etc.
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//! - [`store`] — `Store` paths for data directories
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//! - [`tool_call`] — `ToolCall` + `ToolFunction` (function-calling request)
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//! - [`tool_result`] — `ToolCallResult` (function-calling response)
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//! - [`usage`] — `UsageStats` (token counts, costs)
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pub mod conversation;
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pub mod message;
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@@ -1,7 +1,25 @@
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//! Provider-facing DTOs: chat completion request, response, streaming types,
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//! and the SSE stream parser.
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//!
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//! # Flow
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//!
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//! 1. **Request** — [`ChatRequest`] is built with model, messages, tools,
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//! streaming options and sent to the LLM provider.
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//! 2. **Response** — Non-streaming responses arrive as [`ChatResponse`] with
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//! [`Choice`]s containing the full [`ChatMessage`](super::message::ChatMessage).
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//! 3. **Streaming** — SSE chunks are fed into [`SseParser::feed`] which yields
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//! [`StreamEvent`]s: token/text, reasoning, tool-call deltas, usage, done.
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//!
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//! # Components
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//!
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//! - `ChatRequest` / `StreamOptions` / `ToolDef` / `ToolFunctionDef` — outbound
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//! - `ChatResponse` / `Choice` / `Delta` / `TokenUsage` — non-streaming inbound
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//! - `StreamEvent` — one atomic streaming event (Token, Reasoning,
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//! ToolCallDelta, Usage, Done, Error)
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//! - `SseParser` — incremental SSE frame parser: `feed()` → `Vec<StreamEvent>`
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use serde::{Deserialize, Serialize};
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use serde_json::Value;
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use tracing;
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// ---------------------------------------------------------------------------
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// Chat request / response
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@@ -11,23 +29,32 @@ use serde_json::Value;
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/// provider.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ChatRequest {
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/// Model identifier, e.g. `"anthropic/claude-opus-4-8"`.
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pub model: String,
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/// Full message history (system + user + assistant + tool turns).
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pub messages: Vec<super::message::ChatMessage>,
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/// Maximum number of output tokens.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub max_tokens: Option<u32>,
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/// Sampling temperature (0.0 – 2.0).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub temperature: Option<f32>,
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/// Tool definitions available to the model.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub tools: Option<Vec<ToolDef>>,
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/// Controls which (if any) function is called by the model.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub tool_choice: Option<Value>,
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/// Whether to use SSE streaming (`true`) or a single response.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub stream: Option<bool>,
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/// Nucleus sampling threshold.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub top_p: Option<f32>,
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/// Sequences where the model should stop generation.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub stop: Option<Vec<String>>,
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/// Additional streaming options (e.g. `include_usage`).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub stream_options: Option<StreamOptions>,
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}
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@@ -42,38 +69,53 @@ pub struct StreamOptions {
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/// Wire format for a single tool definition sent to the provider.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ToolDef {
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/// The tool type discriminator, e.g. `"function"`.
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#[serde(rename = "type")]
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pub type_: String,
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/// The function definition (name, description, JSON schema).
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pub function: ToolFunctionDef,
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}
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/// Name, description, and JSON schema parameters for a tool definition.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ToolFunctionDef {
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/// The function name the model may invoke.
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pub name: String,
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/// Human-readable description of what the function does.
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pub description: String,
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/// JSON Schema object describing the expected arguments.
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pub parameters: Value,
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}
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/// Non-streaming chat completion response returned by the provider.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ChatResponse {
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/// Unique response identifier from the provider.
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pub id: String,
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/// Object type, e.g. `"chat.completion"`.
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pub object: Option<String>,
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/// Model identifier that produced this response.
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pub model: String,
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/// One or more completion candidates.
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pub choices: Vec<Choice>,
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/// Token usage statistics (prompt, completion, total).
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pub usage: Option<TokenUsage>,
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/// Unix-timestamp of response creation.
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pub created: Option<i64>,
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}
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/// One completion candidate within a `ChatResponse.choices` list.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct Choice {
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/// Zero-based index of this choice in the candidate list.
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pub index: u32,
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/// Full message (non-streaming response).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub message: Option<super::message::ChatMessage>,
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/// Incremental delta (streaming response).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub delta: Option<Delta>,
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/// Why the model stopped: `"stop"`, `"tool_calls"`, `"length"`, etc.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub finish_reason: Option<String>,
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}
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@@ -81,10 +123,13 @@ pub struct Choice {
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/// Incremental delta emitted in a streaming SSE chunk.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct Delta {
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/// Role being set for the first streaming chunk.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub role: Option<super::message::Role>,
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/// Incremental text content delta.
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#[serde(skip_serializing_if = "Option::is_none")]
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pub content: Option<String>,
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/// Incremental tool-call delta (partial name/arguments).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub tool_calls: Option<Vec<super::tool_call::ToolCall>>,
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}
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@@ -92,11 +137,16 @@ pub struct Delta {
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/// Token counts and optional cost breakdown for a single completion request.
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#[derive(Debug, Clone, Serialize, Deserialize, Default)]
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pub struct TokenUsage {
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/// Tokens consumed by the prompt (input).
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pub prompt_tokens: u32,
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/// Tokens consumed by the completion (output).
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pub completion_tokens: u32,
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/// Sum of prompt + completion tokens.
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pub total_tokens: u32,
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/// Estimated cost for prompt tokens (provider-specific).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub prompt_tokens_cost: Option<f64>,
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/// Estimated cost for completion tokens (provider-specific).
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#[serde(skip_serializing_if = "Option::is_none")]
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pub completion_tokens_cost: Option<f64>,
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}
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@@ -108,28 +158,41 @@ pub struct TokenUsage {
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/// One atomic event extracted from an LLM streaming response stream.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub enum StreamEvent {
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/// An incremental text token.
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Token(String),
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/// An incremental reasoning token (Anthropic `reasoning_content`).
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Reasoning(String),
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/// An incremental tool-call delta (partial ID, name, or arguments).
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ToolCallDelta {
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/// Tool-call index (multiple calls in one response).
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index: usize,
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/// Optional tool-call ID (usually in the first delta for a call).
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id: Option<String>,
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/// Optional function name (usually in the first delta for a call).
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name: Option<String>,
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/// Partial JSON arguments delta for this tool call.
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arguments_delta: String,
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},
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/// Final usage chunk with token counts.
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Usage {
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prompt_tokens: u64,
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completion_tokens: u64,
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total_tokens: u64,
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},
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/// Stream complete (all tokens have been delivered).
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Done,
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/// A stream-level error occurred.
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Error(String),
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}
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/// Buffered SSE frame parser that accumulates raw `data:` lines and
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/// flushes a `StreamEvent` on each blank-line boundary.
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pub struct SseParser {
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/// Leftover bytes from the last chunk that did not end with `\n`.
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buffer: String,
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/// The current `event:` type (set by `event:` lines, cleared on flush).
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event_type: Option<String>,
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/// Accumulated `data:` lines for the current event frame.
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data_lines: Vec<String>,
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}
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@@ -1,6 +1,18 @@
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//! Filesystem layout for zesdex's persistent and scratch data directories.
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//!
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//! # Flow
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//!
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//! [`Store::new`] resolves all paths from OS data dir / temp dir →
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//! [`ensure_dirs`](Store::ensure_dirs) creates them on startup.
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//!
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//! # Components
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//!
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//! - `Store` — resolved path bundle (base, memory, scratch, images, downloads)
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//! - `new` — path computation (no I/O)
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//! - `ensure_dirs` — creates all directories if missing
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use serde::{Deserialize, Serialize};
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use std::path::PathBuf;
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use tracing;
|
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|
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/// Resolved paths for all data directories zesdex reads from and writes to.
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///
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@@ -8,10 +20,15 @@ use std::path::PathBuf;
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/// where memory, scratch, session images, and downloads live.
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct Store {
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/// Top-level data directory, e.g. `~/.local/share/zesdex`.
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pub base_dir: PathBuf,
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/// Temporary scratch root, usually under the OS temp dir.
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pub scratch_root: PathBuf,
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/// Directory for persistent memory files (`.md` summaries).
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pub memory_dir: PathBuf,
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/// Directory for per-session image snapshots.
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pub session_images_dir: PathBuf,
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/// Directory for downloaded files.
|
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pub download_dir: PathBuf,
|
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}
|
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@@ -41,6 +58,7 @@ impl Store {
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///
|
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/// Return: `Err` on the first directory that fails to create.
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pub fn ensure_dirs(&self) -> std::io::Result<()> {
|
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tracing::debug!(base = %self.base_dir.display(), "ensuring store directories exist");
|
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std::fs::create_dir_all(&self.base_dir)?;
|
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std::fs::create_dir_all(&self.memory_dir)?;
|
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std::fs::create_dir_all(&self.scratch_root)?;
|
||||
|
||||
@@ -1,25 +1,42 @@
|
||||
//! Tool-call DTOs embedded in assistant chat messages.
|
||||
//!
|
||||
//! Flow: provider response/stream carries `tool_calls` on an assistant
|
||||
//! message → deserialized into `ToolCall`/`ToolFunction` → harness resolves
|
||||
//! `function.name` against `all_tools()` and runs it with
|
||||
//! `sanitize_tool_arguments(function.arguments)`.
|
||||
//! # Flow
|
||||
//!
|
||||
//! Provider response/stream carries `tool_calls` on an assistant message →
|
||||
//! deserialized into [`ToolCall`]/[`ToolFunction`] → harness resolves the
|
||||
//! function name against `all_tools()` and runs it after sanitizing arguments
|
||||
//! via [`sanitize_tool_arguments`] (which handles string-encoded JSON,
|
||||
//! control characters, and truncation).
|
||||
//!
|
||||
//! # Components
|
||||
//!
|
||||
//! - `ToolCall` — a single tool-invocation request (id + type + function)
|
||||
//! - `ToolFunction` — function name + raw arguments Value
|
||||
//! - `sanitize_tool_arguments` — normalizes argument shape, repairs truncation
|
||||
//! - `repair_json` — closes unclosed strings/braces/brackets in truncated JSON
|
||||
use serde::{Deserialize, Serialize};
|
||||
use serde_json::Value;
|
||||
use tracing;
|
||||
|
||||
/// A single tool-call request emitted by the model in an assistant message.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct ToolCall {
|
||||
/// Unique identifier for this tool call (referenced by `ToolCallResult`).
|
||||
pub id: String,
|
||||
/// Discriminator, e.g. `"function"`.
|
||||
#[serde(rename = "type")]
|
||||
pub type_: String,
|
||||
/// The function to invoke (name + arguments).
|
||||
pub function: ToolFunction,
|
||||
}
|
||||
|
||||
/// The function name and raw arguments payload for a `ToolCall`.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct ToolFunction {
|
||||
/// The function/tool name to dispatch against.
|
||||
pub name: String,
|
||||
/// Arguments as a JSON Value (may be a string-encoded object before
|
||||
/// `sanitize_tool_arguments` normalises it).
|
||||
pub arguments: Value,
|
||||
}
|
||||
|
||||
|
||||
@@ -1,13 +1,29 @@
|
||||
//! Record of one completed tool invocation, kept for transcript/history.
|
||||
//!
|
||||
//! # Flow
|
||||
//!
|
||||
//! Tool harness completes execution → creates [`ToolCallResult`] with output,
|
||||
//! error flag, and wall-clock duration → appended to conversation history as
|
||||
//! a `Tool`-role [`ChatMessage`](super::message::ChatMessage).
|
||||
//!
|
||||
//! # Components
|
||||
//!
|
||||
//! - `ToolCallResult` — tool name + output + error flag + duration
|
||||
//! - `new` — convenience constructor
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
/// Record of a completed tool invocation, kept for transcript/history.
|
||||
#[derive(Debug, Clone, Serialize, Deserialize)]
|
||||
pub struct ToolCallResult {
|
||||
/// The `id` of the `ToolCall` this result responds to.
|
||||
pub tool_call_id: String,
|
||||
/// The name of the tool that was invoked.
|
||||
pub tool_name: String,
|
||||
/// The text output produced by the tool (or error message).
|
||||
pub output: String,
|
||||
/// Whether the tool exited with an error.
|
||||
pub is_error: bool,
|
||||
/// Wall-clock execution duration in milliseconds.
|
||||
pub duration_ms: u64,
|
||||
}
|
||||
|
||||
|
||||
@@ -1,17 +1,34 @@
|
||||
//! Token usage accounting shared by streaming and non-streaming responses.
|
||||
//!
|
||||
//! # Flow
|
||||
//!
|
||||
//! Accumulated across all LLM API calls in a session. Each response updates
|
||||
//! the running totals; `last_*` fields capture the most recent call's values
|
||||
//! for interpolation display. Persisted alongside other session metadata.
|
||||
//!
|
||||
//! # Components
|
||||
//!
|
||||
//! - `UsageStats` — cumulative token/latency counters
|
||||
use serde::{Deserialize, Serialize};
|
||||
|
||||
/// Cumulative token/latency counters for a session, persisted alongside it.
|
||||
#[derive(Debug, Clone, Copy, Serialize, Deserialize, Default)]
|
||||
pub struct UsageStats {
|
||||
/// Total tokens consumed as input (prompt).
|
||||
pub tokens_in: u64,
|
||||
/// Total tokens generated as output (completion).
|
||||
pub tokens_out: u64,
|
||||
/// Most recent call's input tokens (for live interpolation display).
|
||||
#[serde(default)]
|
||||
pub last_tokens_in: u64,
|
||||
/// Most recent call's output tokens (for live interpolation display).
|
||||
#[serde(default)]
|
||||
pub last_tokens_out: u64,
|
||||
/// Total number of LLM API calls made this session.
|
||||
pub api_calls: u64,
|
||||
/// Tokens consumed by auto-review subagent calls.
|
||||
pub review_tokens: u64,
|
||||
/// Total wall-clock time spent on LLM API calls (milliseconds).
|
||||
pub total_ms: u64,
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user