Add the llama client types and the chat request builder

Implemented-By: Laguna S 2.1 (OpenCode)
This commit is contained in:
2026-09-18 02:40:35 -07:00
parent f58c29e707
commit f48999306e
5 changed files with 503 additions and 0 deletions
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//! The llama inference server's chat-completions types and the request builder.
pub mod request;
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ChatMessage {
System {
content: String,
},
User {
content: String,
},
Assistant {
content: Option<String>,
reasoning_content: Option<String>,
tool_calls: Vec<proto::ToolCall>,
},
Tool {
tool_call_id: String,
content: String,
},
}
#[derive(Debug, Clone, PartialEq)]
pub struct ToolSchema {
pub name: String,
pub description: String,
pub parameters: serde_json::Value,
}
#[derive(Debug, Clone, PartialEq)]
pub struct ChatRequest {
pub slot: u32,
pub messages: Vec<ChatMessage>,
pub tools: Vec<ToolSchema>,
pub thinking: bool,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum ChatEvent {
Queued {
ahead: usize,
},
Waiting {
slot_busy: bool,
},
Progress {
total: u64,
cache: u64,
processed: u64,
},
Reasoning(String),
Content(String),
ToolCallDelta {
index: u32,
id: Option<String>,
name: Option<String>,
arguments: String,
},
ThinkingCapped {
tokens: u64,
},
Retrying {
attempt: u32,
after_ms: u64,
error: String,
},
}
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum FinishReason {
Stop,
ToolCalls,
Length,
}
/// The three counts loopd uses. The server sends more fields beside them; they are ignored.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, serde::Deserialize)]
pub struct Timings {
pub cache_n: u64,
pub prompt_n: u64,
pub predicted_n: u64,
}
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct Completion {
pub id: String,
pub content: Option<String>,
pub reasoning_content: Option<String>,
pub tool_calls: Vec<proto::ToolCall>,
pub finish_reason: FinishReason,
pub timings: Timings,
pub reasoning_tokens: u64,
pub thinking_capped: bool,
}
#[derive(Debug)]
pub enum InferError {
Busy,
Connect(std::io::Error),
WaitTimeout,
LoadTimeout,
Stalled,
StreamClosedEarly,
ThinkingOverrun,
Http { status: u16, body: String },
Protocol(String),
}
impl std::fmt::Display for InferError {
fn fmt(&self, f: &mut std::fmt::Formatter) -> std::fmt::Result {
match self {
InferError::Busy => write!(f, "the slot is busy"),
InferError::Connect(err) => {
write!(f, "could not connect to the inference server: {err}")
}
InferError::WaitTimeout => write!(f, "timed out waiting for the slot to free up"),
InferError::LoadTimeout => write!(f, "timed out waiting for the model to load"),
InferError::Stalled => write!(f, "the stream stalled"),
InferError::StreamClosedEarly => {
write!(f, "the stream closed before the response was complete")
}
InferError::ThinkingOverrun => write!(f, "thinking ran over its token budget"),
InferError::Http { status, body } => {
write!(f, "the server responded with {status}: {body}")
}
InferError::Protocol(what) => write!(f, "the server spoke the protocol wrong: {what}"),
}
}
}
impl std::error::Error for InferError {}
pub struct Client {
pub(crate) cfg: crate::config::Config,
}
impl Client {
pub fn new(cfg: crate::config::Config) -> Self {
Self { cfg }
}
pub fn config(&self) -> &crate::config::Config {
&self.cfg
}
}
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//! Building the chat request body the inference server expects.
use serde::Serialize;
use super::{ChatMessage, ToolSchema};
/// The request body as JSON text. The same inputs always give the same bytes.
pub fn build_body(
cfg: &crate::config::Config,
req: &super::ChatRequest,
) -> Result<String, serde_json::Error> {
let messages = serialize_messages(&req.messages)?;
let tools = req.tools.iter().map(serialized_tool).collect::<Vec<_>>();
let body = RequestBody {
model: cfg.infer.model.clone(),
messages,
tools,
id_slot: req.slot,
cache_prompt: true,
stream: true,
return_progress: true,
timings_per_token: true,
reasoning_control: true,
max_tokens: cfg.limits.max_tokens,
temperature: cfg.sampling.temperature,
top_p: cfg.sampling.top_p,
top_k: cfg.sampling.top_k,
chat_template_kwargs: ChatTemplateKwargs {
enable_thinking: req.thinking,
},
};
serde_json::to_string(&body)
}
fn serialize_messages(
messages: &[ChatMessage],
) -> Result<Vec<serde_json::Value>, serde_json::Error> {
let mut out = Vec::with_capacity(messages.len());
for message in messages {
out.push(serialize_message(message)?);
}
Ok(out)
}
fn serialize_message(message: &ChatMessage) -> Result<serde_json::Value, serde_json::Error> {
match message {
ChatMessage::System { content } => serde_json::to_value(SerializedSystem {
role: "system",
content: content.clone(),
}),
ChatMessage::User { content } => serde_json::to_value(SerializedUser {
role: "user",
content: content.clone(),
}),
ChatMessage::Tool {
tool_call_id,
content,
} => serde_json::to_value(SerializedToolMessage {
role: "tool",
tool_call_id: tool_call_id.clone(),
content: content.clone(),
}),
ChatMessage::Assistant {
content,
reasoning_content,
tool_calls,
} => serde_json::to_value(SerializedAssistant {
role: "assistant",
content: content.clone().unwrap_or_default(),
reasoning_content: reasoning_content.clone(),
tool_calls: tool_calls.iter().map(serialized_call).collect(),
}),
}
}
fn serialized_call(call: &proto::ToolCall) -> SerializedToolCall {
SerializedToolCall {
id: call.id.clone(),
kind: "function",
function: CallFunction {
name: call.name.clone(),
arguments: call.arguments.clone(),
},
}
}
fn serialized_tool(tool: &ToolSchema) -> SerializedTool {
SerializedTool {
kind: "function",
function: ToolFunction {
name: tool.name.clone(),
description: tool.description.clone(),
parameters: tool.parameters.clone(),
},
}
}
#[derive(Serialize)]
struct RequestBody {
model: String,
messages: Vec<serde_json::Value>,
#[serde(skip_serializing_if = "Vec::is_empty")]
tools: Vec<SerializedTool>,
id_slot: u32,
cache_prompt: bool,
stream: bool,
return_progress: bool,
timings_per_token: bool,
reasoning_control: bool,
max_tokens: u64,
temperature: f64,
top_p: f64,
top_k: u32,
chat_template_kwargs: ChatTemplateKwargs,
}
#[derive(Serialize)]
struct ChatTemplateKwargs {
enable_thinking: bool,
}
#[derive(Serialize)]
struct SerializedSystem {
role: &'static str,
content: String,
}
#[derive(Serialize)]
struct SerializedUser {
role: &'static str,
content: String,
}
#[derive(Serialize)]
struct SerializedToolMessage {
role: &'static str,
tool_call_id: String,
content: String,
}
#[derive(Serialize)]
struct SerializedAssistant {
role: &'static str,
content: String,
#[serde(skip_serializing_if = "Option::is_none")]
reasoning_content: Option<String>,
#[serde(skip_serializing_if = "Vec::is_empty")]
tool_calls: Vec<SerializedToolCall>,
}
#[derive(Serialize)]
struct SerializedToolCall {
id: String,
#[serde(rename = "type")]
kind: &'static str,
function: CallFunction,
}
#[derive(Serialize)]
struct CallFunction {
name: String,
arguments: String,
}
#[derive(Serialize)]
struct SerializedTool {
#[serde(rename = "type")]
kind: &'static str,
function: ToolFunction,
}
#[derive(Serialize)]
struct ToolFunction {
name: String,
description: String,
parameters: serde_json::Value,
}