assistant2: Avoid unnecessary String
cloning in tool use (#25725)
This PR removes some unnecessary `String` cloning in the tool use paths. We now store the data in `Arc<str>`s for cheap cloning. Release Notes: - N/A
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parent
da22f21dec
commit
e7df5ce61c
5 changed files with 19 additions and 16 deletions
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@ -636,7 +636,7 @@ impl Thread {
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Ok(output) => {
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tool_results.push(LanguageModelToolResult {
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tool_use_id: tool_use_id.clone(),
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content: output,
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content: output.into(),
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is_error: false,
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});
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thread.pending_tool_uses_by_id.remove(&tool_use_id);
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@ -646,14 +646,15 @@ impl Thread {
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Err(err) => {
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tool_results.push(LanguageModelToolResult {
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tool_use_id: tool_use_id.clone(),
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content: err.to_string(),
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content: err.to_string().into(),
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is_error: true,
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});
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if let Some(tool_use) =
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thread.pending_tool_uses_by_id.get_mut(&tool_use_id)
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{
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tool_use.status = PendingToolUseStatus::Error(err.to_string());
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tool_use.status =
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PendingToolUseStatus::Error(err.to_string().into());
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}
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cx.emit(ThreadEvent::ToolFinished { tool_use_id });
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@ -716,7 +717,7 @@ pub struct PendingToolUse {
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pub id: LanguageModelToolUseId,
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/// The ID of the Assistant message in which the tool use was requested.
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pub assistant_message_id: MessageId,
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pub name: String,
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pub name: Arc<str>,
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pub input: serde_json::Value,
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pub status: PendingToolUseStatus,
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}
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@ -725,7 +726,7 @@ pub struct PendingToolUse {
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pub enum PendingToolUseStatus {
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Idle,
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Running { _task: Shared<Task<()>> },
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Error(#[allow(unused)] String),
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Error(#[allow(unused)] Arc<str>),
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}
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impl PendingToolUseStatus {
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@ -90,7 +90,7 @@ where
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#[derive(Debug, PartialEq, Eq, Hash, Clone, Serialize, Deserialize)]
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pub struct LanguageModelToolUse {
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pub id: LanguageModelToolUseId,
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pub name: String,
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pub name: Arc<str>,
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pub input: serde_json::Value,
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}
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@ -1,4 +1,5 @@
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use std::io::{Cursor, Write};
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use std::sync::Arc;
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use crate::role::Role;
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use crate::{LanguageModelToolUse, LanguageModelToolUseId};
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@ -167,7 +168,7 @@ impl LanguageModelImage {
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pub struct LanguageModelToolResult {
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pub tool_use_id: LanguageModelToolUseId,
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pub is_error: bool,
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pub content: String,
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pub content: Arc<str>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize, Eq, PartialEq, Hash)]
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@ -199,15 +200,16 @@ pub struct LanguageModelRequestMessage {
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impl LanguageModelRequestMessage {
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pub fn string_contents(&self) -> String {
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let mut string_buffer = String::new();
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let mut buffer = String::new();
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for string in self.content.iter().filter_map(|content| match content {
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MessageContent::Text(text) => Some(text),
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MessageContent::ToolResult(tool_result) => Some(&tool_result.content),
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MessageContent::Text(text) => Some(text.as_str()),
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MessageContent::ToolResult(tool_result) => Some(tool_result.content.as_ref()),
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MessageContent::ToolUse(_) | MessageContent::Image(_) => None,
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}) {
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string_buffer.push_str(string.as_str())
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buffer.push_str(string);
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}
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string_buffer
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buffer
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}
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pub fn contents_empty(&self) -> bool {
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@ -506,7 +506,7 @@ pub fn into_anthropic(
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MessageContent::ToolUse(tool_use) => {
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Some(anthropic::RequestContent::ToolUse {
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id: tool_use.id.to_string(),
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name: tool_use.name,
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name: tool_use.name.to_string(),
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input: tool_use.input,
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cache_control,
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})
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@ -515,7 +515,7 @@ pub fn into_anthropic(
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Some(anthropic::RequestContent::ToolResult {
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tool_use_id: tool_result.tool_use_id.to_string(),
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is_error: tool_result.is_error,
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content: tool_result.content,
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content: tool_result.content.to_string(),
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cache_control,
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})
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}
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@ -636,7 +636,7 @@ pub fn map_to_language_model_completion_events(
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Ok(LanguageModelCompletionEvent::ToolUse(
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LanguageModelToolUse {
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id: tool_use.id.into(),
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name: tool_use.name,
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name: tool_use.name.into(),
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input: if tool_use.input_json.is_empty() {
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serde_json::Value::Null
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} else {
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@ -731,7 +731,7 @@ pub fn map_to_language_model_completion_events(
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Ok(LanguageModelCompletionEvent::ToolUse(
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LanguageModelToolUse {
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id: tool_use.id.into(),
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name: tool_use.name,
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name: tool_use.name.into(),
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input: if tool_use.input_json.is_empty()
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{
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Value::Null
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