mirror of
https://github.com/aaif-goose/goose.git
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Move hardcoded LLM prompts to template files (#3934)
Co-authored-by: Douwe Osinga <douwe@squareup.com> Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -4,6 +4,7 @@ use rmcp::model::Tool;
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use anyhow::{Context, Result};
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use async_trait::async_trait;
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use serde::Serialize;
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use serde_json::Value;
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use std::collections::HashMap;
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use std::collections::VecDeque;
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@@ -14,8 +15,15 @@ use tokio::sync::RwLock;
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use crate::agents::tool_vectordb::ToolVectorDB;
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use crate::conversation::message::Message;
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use crate::model::ModelConfig;
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use crate::prompt_template::render_global_file;
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use crate::providers::{self, base::Provider};
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#[derive(Serialize)]
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struct ToolSelectorContext {
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tools: String,
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query: String,
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}
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#[derive(Debug, Clone, PartialEq)]
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pub enum RouterToolSelectionStrategy {
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Vector,
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@@ -282,15 +290,21 @@ impl RouterToolSelector for LLMToolSelector {
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};
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if let Some(tools) = relevant_tools {
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// Use LLM to search through tools
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let prompt = format!(
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"Given the following tools:\n{}\n\nFind the most relevant tools for the query: {}\n\nReturn the tools in this exact format for each tool:\nTool: <tool_name>\nDescription: <tool_description>\nSchema: <tool_schema>",
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tools, query
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);
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let system_message = Message::user().with_text("You are a tool selection assistant. Your task is to find the most relevant tools based on the user's query.");
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// Use template to generate the prompt
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let context = ToolSelectorContext {
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tools: tools.clone(),
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query: query.to_string(),
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};
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let user_prompt =
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render_global_file("router_tool_selector.md", &context).map_err(|e| {
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ToolError::ExecutionError(format!("Failed to render prompt template: {}", e))
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})?;
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let user_message = Message::user().with_text(&user_prompt);
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let response = self
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.llm_provider
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.complete(&prompt, &[system_message], &[])
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.complete("", &[user_message], &[])
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.await
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.map_err(|e| ToolError::ExecutionError(format!("Failed to search tools: {}", e)))?;
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@@ -3,6 +3,7 @@ use crate::config::permission::PermissionLevel;
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use crate::config::PermissionManager;
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use crate::conversation::message::{Message, MessageContent, ToolRequest};
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use crate::conversation::Conversation;
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use crate::prompt_template::render_global_file;
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use crate::providers::base::Provider;
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use chrono::Utc;
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use indoc::indoc;
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@@ -13,6 +14,11 @@ use serde_json::Value;
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use std::collections::HashSet;
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use std::sync::Arc;
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#[derive(Serialize)]
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struct PermissionJudgeContext {
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// Empty struct for now since the current template doesn't need variables
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}
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/// Creates the tool definition for checking read-only permissions.
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fn create_read_only_tool() -> Tool {
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Tool::new(
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@@ -133,12 +139,12 @@ pub async fn detect_read_only_tools(
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let tool = create_read_only_tool();
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let check_messages = create_check_messages(tool_requests);
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let context = PermissionJudgeContext {};
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let system_prompt = render_global_file("permission_judge.md", &context)
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.unwrap_or_else(|_| "You are a good analyst and can detect operations whether they have read-only operations.".to_string());
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let res = provider
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.complete(
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"You are a good analyst and can detect operations whether they have read-only operations.",
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check_messages.messages(),
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&[tool.clone()],
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)
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.complete(&system_prompt, check_messages.messages(), &[tool.clone()])
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.await;
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// Process the response and return an empty vector if the response is invalid
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@@ -0,0 +1 @@
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You are a good analyst and can detect operations whether they have read-only operations.
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@@ -0,0 +1,11 @@
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You are a tool selection assistant. Your task is to find the most relevant tools based on the user's query.
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Given the following tools:
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{{ tools }}
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Find the most relevant tools for the query: {{ query }}
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Return the tools in this exact format for each tool:
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Tool: <tool_name>
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Description: <tool_description>
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Schema: <tool_schema>
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