Add tool calling support for GitHub Copilot Chat (#28035)
This PR adds tool calling support for GitHub Copilot Chat models. Currently only supports the Claude family of models. Release Notes: - agent: Added tool calling support for Claude models in GitHub Copilot Chat. --------- Co-authored-by: Marshall Bowers <git@maxdeviant.com>
This commit is contained in:
Bennet Bo Fenner
GitHub
parent
c2afc2271b
commit
02e4267bc6
2 changed files with 318 additions and 85 deletions
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@ -1,14 +1,17 @@
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use std::pin::Pin;
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use std::str::FromStr as _;
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use std::sync::Arc;
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use anyhow::{Result, anyhow};
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use collections::HashMap;
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use copilot::copilot_chat::{
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ChatMessage, CopilotChat, Model as CopilotChatModel, Request as CopilotChatRequest,
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Role as CopilotChatRole,
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ResponseEvent, Tool, ToolCall,
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};
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use copilot::{Copilot, Status};
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use futures::future::BoxFuture;
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use futures::stream::BoxStream;
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use futures::{FutureExt, StreamExt};
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use futures::{FutureExt, Stream, StreamExt};
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use gpui::{
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Action, Animation, AnimationExt, AnyView, App, AsyncApp, Entity, Render, Subscription, Task,
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Transformation, percentage, svg,
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@ -16,12 +19,14 @@ use gpui::{
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use language_model::{
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AuthenticateError, LanguageModel, LanguageModelCompletionEvent, LanguageModelId,
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LanguageModelName, LanguageModelProvider, LanguageModelProviderId, LanguageModelProviderName,
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LanguageModelProviderState, LanguageModelRequest, RateLimiter, Role,
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LanguageModelProviderState, LanguageModelRequest, LanguageModelRequestMessage,
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LanguageModelToolUse, MessageContent, RateLimiter, Role, StopReason,
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};
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use settings::SettingsStore;
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use std::time::Duration;
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use strum::IntoEnumIterator;
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use ui::prelude::*;
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use util::maybe;
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use super::anthropic::count_anthropic_tokens;
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use super::google::count_google_tokens;
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@ -180,7 +185,12 @@ impl LanguageModel for CopilotChatLanguageModel {
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}
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fn supports_tools(&self) -> bool {
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false
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match self.model {
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CopilotChatModel::Claude3_5Sonnet
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| CopilotChatModel::Claude3_7Sonnet
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| CopilotChatModel::Claude3_7SonnetThinking => true,
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_ => false,
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}
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}
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fn telemetry_id(&self) -> String {
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@ -240,77 +250,241 @@ impl LanguageModel for CopilotChatLanguageModel {
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}
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}
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let copilot_request = self.to_copilot_chat_request(request);
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let is_streaming = copilot_request.stream;
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let copilot_request = match self.to_copilot_chat_request(request) {
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Ok(request) => request,
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Err(err) => return futures::future::ready(Err(err)).boxed(),
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};
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let request_limiter = self.request_limiter.clone();
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let future = cx.spawn(async move |cx| {
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let response = CopilotChat::stream_completion(copilot_request, cx.clone());
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request_limiter.stream(async move {
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let response = response.await?;
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let stream = response
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.filter_map(move |response| async move {
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match response {
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Ok(result) => {
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let choice = result.choices.first();
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match choice {
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Some(choice) if !is_streaming => {
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match &choice.message {
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Some(msg) => Some(Ok(msg.content.clone().unwrap_or_default())),
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None => Some(Err(anyhow::anyhow!(
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"The Copilot Chat API returned a response with no message content"
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))),
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}
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},
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Some(choice) => {
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match &choice.delta {
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Some(delta) => Some(Ok(delta.content.clone().unwrap_or_default())),
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None => Some(Err(anyhow::anyhow!(
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"The Copilot Chat API returned a response with no delta content"
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))),
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}
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},
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None => Some(Err(anyhow::anyhow!(
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"The Copilot Chat API returned a response with no choices, but hadn't finished the message yet. Please try again."
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))),
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}
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}
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Err(err) => Some(Err(err)),
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}
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})
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.boxed();
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Ok(stream)
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}).await
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let request = CopilotChat::stream_completion(copilot_request, cx.clone());
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request_limiter
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.stream(async move {
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let response = request.await?;
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Ok(map_to_language_model_completion_events(response))
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})
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.await
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});
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async move {
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Ok(future
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.await?
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.map(|result| result.map(LanguageModelCompletionEvent::Text))
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.boxed())
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}
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.boxed()
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async move { Ok(future.await?.boxed()) }.boxed()
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}
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}
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pub fn map_to_language_model_completion_events(
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events: Pin<Box<dyn Send + Stream<Item = Result<ResponseEvent>>>>,
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) -> impl Stream<Item = Result<LanguageModelCompletionEvent>> {
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#[derive(Default)]
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struct RawToolCall {
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id: String,
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name: String,
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arguments: String,
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}
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struct State {
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events: Pin<Box<dyn Send + Stream<Item = Result<ResponseEvent>>>>,
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tool_calls_by_index: HashMap<usize, RawToolCall>,
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}
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futures::stream::unfold(
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State {
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events,
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tool_calls_by_index: HashMap::default(),
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},
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|mut state| async move {
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if let Some(event) = state.events.next().await {
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match event {
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Ok(event) => {
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let Some(choice) = event.choices.first() else {
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return Some((
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vec![Err(anyhow!("Response contained no choices"))],
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state,
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));
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};
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let Some(delta) = choice.delta.as_ref() else {
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return Some((
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vec![Err(anyhow!("Response contained no delta"))],
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state,
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));
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};
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let mut events = Vec::new();
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if let Some(content) = delta.content.clone() {
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events.push(Ok(LanguageModelCompletionEvent::Text(content)));
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}
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for tool_call in &delta.tool_calls {
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let entry = state
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.tool_calls_by_index
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.entry(tool_call.index)
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.or_default();
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if let Some(tool_id) = tool_call.id.clone() {
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entry.id = tool_id;
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}
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if let Some(function) = tool_call.function.as_ref() {
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if let Some(name) = function.name.clone() {
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entry.name = name;
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}
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if let Some(arguments) = function.arguments.clone() {
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entry.arguments.push_str(&arguments);
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}
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}
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}
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match choice.finish_reason.as_deref() {
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Some("stop") => {
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events.push(Ok(LanguageModelCompletionEvent::Stop(
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StopReason::EndTurn,
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)));
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}
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Some("tool_calls") => {
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events.extend(state.tool_calls_by_index.drain().map(
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|(_, tool_call)| {
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maybe!({
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Ok(LanguageModelCompletionEvent::ToolUse(
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LanguageModelToolUse {
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id: tool_call.id.into(),
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name: tool_call.name.as_str().into(),
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input: serde_json::Value::from_str(
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&tool_call.arguments,
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)?,
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},
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))
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})
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},
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));
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events.push(Ok(LanguageModelCompletionEvent::Stop(
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StopReason::ToolUse,
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)));
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}
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Some(stop_reason) => {
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log::error!("Unexpected Copilot Chat stop_reason: {stop_reason:?}",);
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events.push(Ok(LanguageModelCompletionEvent::Stop(
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StopReason::EndTurn,
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)));
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}
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None => {}
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}
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return Some((events, state));
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}
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Err(err) => return Some((vec![Err(err)], state)),
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}
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}
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None
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},
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)
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.flat_map(futures::stream::iter)
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}
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impl CopilotChatLanguageModel {
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pub fn to_copilot_chat_request(&self, request: LanguageModelRequest) -> CopilotChatRequest {
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CopilotChatRequest::new(
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self.model.clone(),
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request
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.messages
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.into_iter()
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.map(|msg| ChatMessage {
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role: match msg.role {
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Role::User => CopilotChatRole::User,
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Role::Assistant => CopilotChatRole::Assistant,
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Role::System => CopilotChatRole::System,
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},
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content: msg.string_contents(),
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})
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.collect(),
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)
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pub fn to_copilot_chat_request(
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&self,
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request: LanguageModelRequest,
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) -> Result<CopilotChatRequest> {
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let model = self.model.clone();
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let mut request_messages: Vec<LanguageModelRequestMessage> = Vec::new();
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for message in request.messages {
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if let Some(last_message) = request_messages.last_mut() {
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if last_message.role == message.role {
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last_message.content.extend(message.content);
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} else {
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request_messages.push(message);
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}
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} else {
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request_messages.push(message);
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}
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}
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let mut messages: Vec<ChatMessage> = Vec::new();
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for message in request_messages {
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let text_content = {
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let mut buffer = String::new();
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for string in message.content.iter().filter_map(|content| match content {
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MessageContent::Text(text) => Some(text.as_str()),
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MessageContent::ToolUse(_)
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| MessageContent::ToolResult(_)
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| MessageContent::Image(_) => None,
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}) {
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buffer.push_str(string);
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}
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buffer
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};
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match message.role {
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Role::User => {
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for content in &message.content {
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if let MessageContent::ToolResult(tool_result) = content {
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messages.push(ChatMessage::Tool {
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tool_call_id: tool_result.tool_use_id.to_string(),
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content: tool_result.content.to_string(),
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});
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}
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}
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messages.push(ChatMessage::User {
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content: text_content,
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});
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}
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Role::Assistant => {
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let mut tool_calls = Vec::new();
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for content in &message.content {
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if let MessageContent::ToolUse(tool_use) = content {
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tool_calls.push(ToolCall {
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id: tool_use.id.to_string(),
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content: copilot::copilot_chat::ToolCallContent::Function {
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function: copilot::copilot_chat::FunctionContent {
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name: tool_use.name.to_string(),
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arguments: serde_json::to_string(&tool_use.input)?,
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},
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},
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});
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}
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}
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messages.push(ChatMessage::Assistant {
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content: if text_content.is_empty() {
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None
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} else {
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Some(text_content)
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},
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tool_calls,
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});
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}
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Role::System => messages.push(ChatMessage::System {
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content: message.string_contents(),
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}),
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}
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}
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let tools = request
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.tools
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.iter()
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.map(|tool| Tool::Function {
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function: copilot::copilot_chat::Function {
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name: tool.name.clone(),
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description: tool.description.clone(),
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parameters: tool.input_schema.clone(),
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},
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})
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.collect();
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Ok(CopilotChatRequest {
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intent: true,
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n: 1,
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stream: model.uses_streaming(),
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temperature: 0.1,
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model,
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messages,
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tools,
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tool_choice: None,
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})
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}
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}
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