5e094553fa
This is just a refactor which adds no functionality. We now return a `ToolResult` from `Tool > run(...)`. For now this just wraps the output task in a struct. We'll use this to implement custom rendering of tools, see #28621. Release Notes: - N/A
62 lines
1.7 KiB
Rust
62 lines
1.7 KiB
Rust
use std::sync::Arc;
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use crate::schema::json_schema_for;
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use anyhow::{Result, anyhow};
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use assistant_tool::{ActionLog, Tool, ToolResult};
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use gpui::{App, Entity, Task};
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use language_model::{LanguageModelRequestMessage, LanguageModelToolSchemaFormat};
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use project::Project;
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use schemars::JsonSchema;
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use serde::{Deserialize, Serialize};
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use ui::IconName;
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#[derive(Debug, Serialize, Deserialize, JsonSchema)]
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pub struct ThinkingToolInput {
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/// Content to think about. This should be a description of what to think about or
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/// a problem to solve.
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content: String,
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}
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pub struct ThinkingTool;
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impl Tool for ThinkingTool {
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fn name(&self) -> String {
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"thinking".to_string()
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}
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fn needs_confirmation(&self, _: &serde_json::Value, _: &App) -> bool {
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false
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}
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fn description(&self) -> String {
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include_str!("./thinking_tool/description.md").to_string()
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}
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fn icon(&self) -> IconName {
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IconName::LightBulb
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}
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fn input_schema(&self, format: LanguageModelToolSchemaFormat) -> Result<serde_json::Value> {
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json_schema_for::<ThinkingToolInput>(format)
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}
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fn ui_text(&self, _input: &serde_json::Value) -> String {
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"Thinking".to_string()
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}
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fn run(
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self: Arc<Self>,
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input: serde_json::Value,
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_messages: &[LanguageModelRequestMessage],
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_project: Entity<Project>,
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_action_log: Entity<ActionLog>,
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_cx: &mut App,
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) -> ToolResult {
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// This tool just "thinks out loud" and doesn't perform any actions.
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Task::ready(match serde_json::from_value::<ThinkingToolInput>(input) {
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Ok(_input) => Ok("Finished thinking.".to_string()),
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Err(err) => Err(anyhow!(err)),
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})
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.into()
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}
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}
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