- Split zclaw-kernel/kernel.rs (1486 lines) into 9 domain modules - Split zclaw-kernel/generation.rs (1080 lines) into 3 modules - Add DeerFlow-inspired middleware: DanglingTool, SubagentLimit, ToolError, ToolOutputGuard - Add PromptBuilder for structured system prompt assembly - Add FactStore (zclaw-memory) for persistent fact extraction - Add task builtin tool for agent task management - Driver improvements: Anthropic/OpenAI extended thinking, Gemini safety settings - Replace let _ = with proper log::warn! across SaaS handlers - Remove unused dependency (url) from zclaw-hands
112 lines
3.8 KiB
Rust
112 lines
3.8 KiB
Rust
//! Tool error middleware — catches tool execution errors and converts them
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//! into well-formed tool-result messages for the LLM to recover from.
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//!
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//! Inspired by DeerFlow's ToolErrorMiddleware: instead of propagating raw errors
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//! that crash the agent loop, this middleware wraps tool errors into a structured
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//! format that the LLM can use to self-correct.
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use async_trait::async_trait;
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use serde_json::Value;
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use zclaw_types::Result;
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use crate::driver::ContentBlock;
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use crate::middleware::{AgentMiddleware, MiddlewareContext, ToolCallDecision};
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/// Middleware that intercepts tool call errors and formats recovery messages.
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///
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/// Priority 350 — runs after dangling tool repair (300) and before guardrail (400).
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pub struct ToolErrorMiddleware {
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/// Maximum error message length before truncation.
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max_error_length: usize,
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}
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impl ToolErrorMiddleware {
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pub fn new() -> Self {
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Self {
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max_error_length: 500,
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}
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}
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/// Create with a custom max error length.
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pub fn with_max_error_length(mut self, len: usize) -> Self {
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self.max_error_length = len;
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self
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}
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/// Format a tool error into a guided recovery message for the LLM.
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///
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/// The caller is responsible for truncation before passing `error`.
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fn format_tool_error(&self, tool_name: &str, error: &str) -> String {
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format!(
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"工具 '{}' 执行失败。错误信息: {}\n请分析错误原因,尝试修正参数后重试,或使用其他方法完成任务。",
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tool_name, error
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)
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}
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}
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impl Default for ToolErrorMiddleware {
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fn default() -> Self {
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Self::new()
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}
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}
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#[async_trait]
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impl AgentMiddleware for ToolErrorMiddleware {
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fn name(&self) -> &str { "tool_error" }
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fn priority(&self) -> i32 { 350 }
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async fn before_tool_call(
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&self,
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_ctx: &MiddlewareContext,
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tool_name: &str,
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tool_input: &Value,
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) -> Result<ToolCallDecision> {
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// Pre-validate tool input structure for common issues.
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// This catches malformed JSON inputs before they reach the tool executor.
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if tool_input.is_null() {
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tracing::warn!(
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"[ToolErrorMiddleware] Tool '{}' received null input — replacing with empty object",
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tool_name
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);
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return Ok(ToolCallDecision::ReplaceInput(serde_json::json!({})));
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}
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Ok(ToolCallDecision::Allow)
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}
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async fn after_tool_call(
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&self,
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ctx: &mut MiddlewareContext,
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tool_name: &str,
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result: &Value,
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) -> Result<()> {
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// Check if the tool result indicates an error.
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if let Some(error) = result.get("error") {
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let error_msg = match error {
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Value::String(s) => s.clone(),
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other => other.to_string(),
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};
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let truncated = if error_msg.len() > self.max_error_length {
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// Use char-boundary-safe truncation to avoid panic on UTF-8 strings (e.g. Chinese)
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let end = error_msg.floor_char_boundary(self.max_error_length);
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format!("{}...(truncated)", &error_msg[..end])
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} else {
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error_msg.clone()
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};
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tracing::warn!(
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"[ToolErrorMiddleware] Tool '{}' failed: {}",
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tool_name, truncated
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);
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// Build a guided recovery message so the LLM can self-correct.
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let guided_message = self.format_tool_error(tool_name, &truncated);
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// Inject into response_content so the agent loop feeds this back
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// to the LLM alongside the raw tool result.
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ctx.response_content.push(ContentBlock::Text {
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text: guided_message,
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});
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}
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Ok(())
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}
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}
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