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//! Agent Runtime — LLM ↔ 工具调用闭环。
//!
//! 负责 LLM 返回 tool_calls → 执行工具 → 结果注入 → 再次调用 LLM 的循环,
//! 直到 LLM 返回纯文本或达到最大轮次。
use lellm_core::{ChatRequest, ChatResponse, LlmError, Message};
use lellm_provider::ResolvedModel;
use super::executor::ToolExecutor;
use super::{AgentEvent, AgentStream, StopReason};
/// 工具执行结果
#[derive(Debug, Clone)]
pub enum ToolCallResult {
Ok(String),
Err(String),
}
/// ToolUseLoop 执行结果
#[derive(Debug, Clone)]
pub struct ToolUseResult {
pub stop_reason: StopReason,
pub response: ChatResponse,
pub messages: Vec<Message>,
pub iterations: usize,
/// 执行过程中调用的工具总次数
pub tool_calls_executed: usize,
}
/// 管理 LLM 与工具调用闭环
pub struct ToolUseLoop {
model: ResolvedModel,
executor: ToolExecutor,
max_iterations: usize,
}
impl ToolUseLoop {
pub fn new(model: ResolvedModel, executor: ToolExecutor) -> Self {
Self {
model,
executor,
max_iterations: 15,
}
}
pub fn set_max_iterations(mut self, max: usize) -> Self {
self.max_iterations = max;
self
}
/// 非流式执行
///
/// 语义:
/// - `Ok(ToolUseResult)` — Agent 层完成(含 MaxIterationsReached)
/// - `Err(LlmError)` — Provider 调用失败
pub async fn execute(self, messages: Vec<Message>) -> Result<ToolUseResult, LlmError> {
let mut req = ChatRequest {
model: self.model.model.clone(),
messages,
..Default::default()
};
let mut tool_calls_executed = 0usize;
let mut last_response: Option<ChatResponse> = None;
for iteration in 1..=self.max_iterations {
let response = self.model.provider.call(&req).await?;
last_response = Some(response);
if last_response.as_ref().unwrap().tool_calls.is_empty() {
return Ok(ToolUseResult {
stop_reason: StopReason::Complete,
response: last_response.unwrap(),
messages: req.messages,
iterations: iteration,
tool_calls_executed,
});
}
let tool_calls = last_response.as_ref().unwrap().tool_calls.clone();
tool_calls_executed += tool_calls.len();
req.messages.push(Message::Assistant {
content: last_response.as_ref().unwrap().content.clone(),
});
let tool_results = self.executor.execute_batch(&tool_calls).await;
req.messages.extend(tool_results);
tracing::debug!(
iteration,
tool_calls = tool_calls.len(),
"tool-use loop iteration"
);
}
// 达到最大轮次 — Agent 层正常终止,不是 Provider 错误
Ok(ToolUseResult {
stop_reason: StopReason::MaxIterationsReached,
response: last_response.unwrap(),
messages: req.messages,
iterations: self.max_iterations,
tool_calls_executed,
})
}
/// 流式执行,返回事件接收器
///
/// 终态契约:
/// - 正常结束:`LoopEnd` 恰好一次,然后 channel 关闭
/// - 异常结束:`LoopError` 恰好一次,然后 channel 关闭
/// - 终态事件后不再发送任何事件
/// - 绝不会发送伪造的 `ToolEnd { tool_call_id: "", .. }`
pub fn execute_stream(self, messages: Vec<Message>) -> AgentStream {
let (tx, rx) = tokio::sync::mpsc::channel(32);
let model = self.model.clone();
let executor = self.executor;
let max_iterations = self.max_iterations;
tokio::spawn(async move {
let mut req = ChatRequest {
model: model.model.clone(),
messages,
..Default::default()
};
let mut tool_calls_executed = 0usize;
let mut last_response: Option<ChatResponse> = None;
let mut completed = false;
for iteration in 1..=max_iterations {
let _ = tx
.send(AgentEvent::Provider(lellm_provider::ProviderEvent::Start {
model: model.model.clone(),
}))
.await;
match model.provider.stream(&req).await {
Ok(stream) => {
use futures_util::StreamExt;
let mut stream = stream;
let mut text_buffer = String::new();
let mut pending_tool_calls = Vec::<lellm_core::ToolCall>::new();
let mut iteration_over = false;
while let Some(event) = stream.next().await {
match event {
Ok(lellm_provider::ProviderEvent::Start { .. }) => {
let _ = tx
.send(AgentEvent::Provider(
lellm_provider::ProviderEvent::Start {
model: model.model.clone(),
},
))
.await;
}
Ok(lellm_provider::ProviderEvent::Token { token }) => {
text_buffer.push_str(&token);
let _ = tx
.send(AgentEvent::Provider(
lellm_provider::ProviderEvent::Token { token },
))
.await;
}
Ok(lellm_provider::ProviderEvent::Done { tool_calls, usage }) => {
pending_tool_calls = tool_calls;
let usage_val = usage.unwrap_or_default();
// 统一构建 ChatResponse — 无论有无 tool_calls
let content: Vec<lellm_core::ContentBlock> =
lellm_core::text_block(text_buffer.clone())
.into_iter()
.chain(pending_tool_calls.iter().map(|tc| {
lellm_core::ContentBlock::ToolCall(tc.clone())
}))
.collect();
let response = ChatResponse::new(
content,
usage_val,
serde_json::json!(null),
);
if !pending_tool_calls.is_empty() {
req.messages.push(Message::Assistant {
content: response.content.clone(),
});
tool_calls_executed += pending_tool_calls.len();
let mut tool_results = Vec::new();
for tc in &pending_tool_calls {
let _ = tx
.send(AgentEvent::ToolStart {
tool_call_id: tc.id.clone(),
name: tc.name.clone(),
})
.await;
let result = executor.execute(tc).await;
let _ = tx
.send(AgentEvent::ToolEnd {
tool_call_id: tc.id.clone(),
result: result.clone(),
})
.await;
let content_str = match &result {
ToolCallResult::Ok(s) => s.clone(),
ToolCallResult::Err(e) => {
format!("tool error: {e}")
}
};
tool_results.push(Message::ToolResult {
tool_call_id: tc.id.clone(),
content: lellm_core::text_block(content_str),
});
}
req.messages.extend(tool_results);
// 保存为 last_response,供 MaxIterationsReached 使用
last_response = Some(response);
tracing::debug!(
iteration,
tool_calls = pending_tool_calls.len(),
"tool-use stream iteration"
);
} else {
let _ = tx
.send(AgentEvent::Provider(
lellm_provider::ProviderEvent::Done {
tool_calls: Vec::new(),
usage: Some(response.usage),
},
))
.await;
let _ = tx
.send(AgentEvent::LoopEnd {
result: ToolUseResult {
stop_reason: StopReason::Complete,
response,
messages: req.messages.clone(),
iterations: iteration,
tool_calls_executed,
},
})
.await;
completed = true;
iteration_over = true;
break;
}
}
Err(e) => {
let _ = tx
.send(AgentEvent::LoopError {
error: e,
iterations: iteration,
messages: req.messages.clone(),
})
.await;
iteration_over = true;
break;
}
}
}
if iteration_over {
break;
}
}
Err(e) => {
let _ = tx
.send(AgentEvent::LoopError {
error: e,
iterations: iteration,
messages: req.messages.clone(),
})
.await;
break;
}
}
}
// 达到最大轮次 — 仅在未完成时发送
if !completed {
let response = last_response.unwrap_or_else(|| {
ChatResponse::new(
lellm_core::text_block(String::new()),
lellm_core::TokenUsage::default(),
serde_json::Value::Null,
)
});
let _ = tx
.send(AgentEvent::LoopEnd {
result: ToolUseResult {
stop_reason: StopReason::MaxIterationsReached,
response,
messages: req.messages,
iterations: max_iterations,
tool_calls_executed,
},
})
.await;
}
});
rx
}
}