mirror of
https://github.com/huggingface/text-generation-inference.git
synced 2025-04-20 14:22:08 +00:00
feat: align function id with tool call response
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parent
2e60a8dd65
commit
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@ -49,6 +49,7 @@ pub(crate) fn parse_output(generated_text: &str) -> Result<ChatChoice, InferErro
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id: "0".to_string(),
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id: "0".to_string(),
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r#type: "function".to_string(),
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r#type: "function".to_string(),
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function: FunctionDefinition {
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function: FunctionDefinition {
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id: None,
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description: None,
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description: None,
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name: name.to_string(),
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name: name.to_string(),
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arguments: serde_json::to_value(call.function.arguments).map_err(|err| {
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arguments: serde_json::to_value(call.function.arguments).map_err(|err| {
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@ -96,15 +96,21 @@ impl ChatTemplate {
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let messages: Vec<TextMessage> = messages.into_iter().map(|c| c.into()).collect();
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let messages: Vec<TextMessage> = messages.into_iter().map(|c| c.into()).collect();
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let final_message = messages.last().cloned();
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let final_message = messages.last().cloned();
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let mut rendered_template = self
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let template_inputs = ChatTemplateInputs {
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.template
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.render(ChatTemplateInputs {
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messages,
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messages,
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bos_token: self.bos_token.as_deref(),
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bos_token: self.bos_token.as_deref(),
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eos_token: self.eos_token.as_deref(),
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eos_token: self.eos_token.as_deref(),
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add_generation_prompt: true,
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add_generation_prompt: true,
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tools,
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tools,
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})
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};
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// NOTE: initalizing `template_inputs` is helpful when JSON dumping the
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// `ChatTemplateInputs` struct for debugging
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// let template_inputs_as_json = serde_json::to_string(&template_inputs).unwrap();
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let mut rendered_template = self
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.template
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.render(template_inputs)
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.map_err(InferError::TemplateError)?;
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.map_err(InferError::TemplateError)?;
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// if the last message is from the assistant, continue the generation prompt
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// if the last message is from the assistant, continue the generation prompt
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@ -34,6 +34,7 @@ impl ToolGrammar {
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.chain(std::iter::once(Tool {
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.chain(std::iter::once(Tool {
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r#type: "function".to_string(),
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r#type: "function".to_string(),
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function: FunctionDefinition {
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function: FunctionDefinition {
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id: None,
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name: "no_tool".to_string(),
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name: "no_tool".to_string(),
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description: Some(
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description: Some(
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"Open ended response with no specific tool selected".to_string(),
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"Open ended response with no specific tool selected".to_string(),
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@ -18,6 +18,7 @@ use crate::infer::{Infer, InferError};
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use pyo3::prelude::*;
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use pyo3::prelude::*;
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use pyo3::types::IntoPyDict;
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use pyo3::types::IntoPyDict;
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use serde::{Deserialize, Serialize};
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use serde::{Deserialize, Serialize};
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use std::collections::HashMap;
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use tokenizers::Encoding;
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use tokenizers::Encoding;
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use tracing::warn;
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use tracing::warn;
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use utoipa::ToSchema;
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use utoipa::ToSchema;
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@ -912,7 +913,10 @@ pub(crate) struct ChatRequest {
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}
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}
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impl ChatRequest {
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impl ChatRequest {
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fn try_into_generate(self, infer: &Infer) -> Result<(GenerateRequest, bool), InferError> {
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fn try_into_generate(
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self,
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infer: &Infer,
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) -> Result<(GenerateRequest, Option<HashMap<String, String>>), InferError> {
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let ChatRequest {
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let ChatRequest {
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model,
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model,
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max_tokens,
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max_tokens,
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@ -952,7 +956,7 @@ impl ChatRequest {
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let (inputs, grammar, using_tools) = match response_format {
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let (inputs, grammar, using_tools) = match response_format {
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Some(format) => {
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Some(format) => {
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let inputs = infer.apply_chat_template(messages, None)?;
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let inputs = infer.apply_chat_template(messages, None)?;
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(inputs, Some(format), false)
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(inputs, Some(format), None)
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}
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}
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None => {
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None => {
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if let Some(tools) = tools {
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if let Some(tools) = tools {
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@ -961,20 +965,31 @@ impl ChatRequest {
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let grammar = GrammarType::Json(serde_json::json!(tool_schema));
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let grammar = GrammarType::Json(serde_json::json!(tool_schema));
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let inputs: String = infer.apply_chat_template(
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let inputs: String = infer.apply_chat_template(
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messages,
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messages,
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Some((updated_tools, tool_prompt)),
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Some((updated_tools.clone(), tool_prompt)),
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)?;
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)?;
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(inputs, Some(grammar), true)
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let tool_name_to_id: HashMap<String, String> = updated_tools
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.into_iter()
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.map(|tool| {
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(
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tool.function.name,
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tool.function
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.id
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.map_or_else(|| "0".to_string(), |id| id.to_string()),
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)
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})
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.collect();
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(inputs, Some(grammar), Some(tool_name_to_id))
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}
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}
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None => {
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None => {
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// same as if no response_format or tools are set
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// same as if no response_format or tools are set
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let inputs = infer.apply_chat_template(messages, None)?;
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let inputs = infer.apply_chat_template(messages, None)?;
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(inputs, None, false)
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(inputs, None, None)
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}
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}
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}
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}
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} else {
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} else {
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// if no response_format or tools are set simply apply the chat template to generate inputs
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// if no response_format or tools are set simply apply the chat template to generate inputs
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let inputs = infer.apply_chat_template(messages, None)?;
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let inputs = infer.apply_chat_template(messages, None)?;
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(inputs, None, false)
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(inputs, None, None)
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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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@ -1154,6 +1169,8 @@ pub struct FunctionDefinition {
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#[serde(default)]
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#[serde(default)]
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pub description: Option<String>,
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pub description: Option<String>,
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pub name: String,
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pub name: String,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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pub id: Option<String>,
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#[serde(alias = "parameters", serialize_with = "serialize_as_string")]
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#[serde(alias = "parameters", serialize_with = "serialize_as_string")]
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pub arguments: serde_json::Value,
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pub arguments: serde_json::Value,
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}
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}
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@ -1175,7 +1192,7 @@ pub(crate) struct Tool {
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pub function: FunctionDefinition,
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pub function: FunctionDefinition,
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}
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}
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#[derive(Clone, Serialize, Deserialize, Default)]
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#[derive(Debug, Clone, Serialize, Deserialize, Default)]
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pub(crate) struct ChatTemplateInputs<'a> {
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pub(crate) struct ChatTemplateInputs<'a> {
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messages: Vec<TextMessage>,
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messages: Vec<TextMessage>,
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bos_token: Option<&'a str>,
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bos_token: Option<&'a str>,
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@ -1208,6 +1225,9 @@ pub enum MessageChunk {
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pub struct Message {
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pub struct Message {
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#[schema(example = "user")]
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#[schema(example = "user")]
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pub role: String,
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pub role: String,
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#[serde(default, skip_serializing_if = "Option::is_none")]
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#[schema(example = "10")]
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pub tool_call_id: Option<String>,
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#[serde(flatten)]
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#[serde(flatten)]
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#[schema(example = "My name is David and I")]
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#[schema(example = "My name is David and I")]
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pub body: MessageBody,
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pub body: MessageBody,
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@ -1287,7 +1307,7 @@ impl From<Message> for TextMessage {
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.collect::<Vec<_>>()
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.collect::<Vec<_>>()
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.join(""),
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.join(""),
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},
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},
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..Default::default()
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tool_call_id: value.tool_call_id,
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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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@ -1758,6 +1778,7 @@ mod tests {
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id: "0".to_string(),
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id: "0".to_string(),
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r#type: "function".to_string(),
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r#type: "function".to_string(),
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function: FunctionDefinition {
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function: FunctionDefinition {
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id: None,
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description: None,
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description: None,
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name: "myfn".to_string(),
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name: "myfn".to_string(),
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arguments: json!({
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arguments: json!({
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@ -1165,8 +1165,7 @@ pub(crate) async fn chat_completions(
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tracing::debug!("Got chat_template {:?}", infer.chat_template);
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tracing::debug!("Got chat_template {:?}", infer.chat_template);
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let id = chat.next_tool_call_id();
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let id = chat.next_tool_call_id();
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let (generate_request, using_tools): (GenerateRequest, bool) =
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let (generate_request, using_tools) = chat.clone().try_into_generate(&infer)?;
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chat.clone().try_into_generate(&infer)?;
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span.record("parameters", format!("{:?}", generate_request.parameters));
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span.record("parameters", format!("{:?}", generate_request.parameters));
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let logprobs = logprobs.unwrap_or_default();
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let logprobs = logprobs.unwrap_or_default();
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@ -1188,7 +1187,7 @@ pub(crate) async fn chat_completions(
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let response_stream = async_stream::stream! {
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let response_stream = async_stream::stream! {
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let mut response_stream = Box::pin(response_stream);
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let mut response_stream = Box::pin(response_stream);
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let mut state = ChatState::new(using_tools, stream_options.clone(), system_fingerprint.clone(), model_id.clone(), logprobs, id.clone());
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let mut state = ChatState::new(using_tools.is_some(), stream_options.clone(), system_fingerprint.clone(), model_id.clone(), logprobs, id.clone());
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while let Some(result) = response_stream.next().await {
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while let Some(result) = response_stream.next().await {
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match result{
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match result{
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Ok(stream_token) => {
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Ok(stream_token) => {
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@ -1197,12 +1196,12 @@ pub(crate) async fn chat_completions(
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ChatEvent::NoTool => {
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ChatEvent::NoTool => {
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chat.tools = None;
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chat.tools = None;
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chat.response_format = None;
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chat.response_format = None;
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let (generate_request, using_tools): (GenerateRequest, bool) =
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let (generate_request, using_tools) =
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chat.clone().try_into_generate(&infer).unwrap();
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chat.clone().try_into_generate(&infer).unwrap();
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assert!(!using_tools);
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assert!(using_tools.is_none());
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let (_headers, response_stream2) =
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let (_headers, response_stream2) =
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generate_stream_internal(infer.clone(), compute_type.clone(), Json(generate_request), span.clone()).await;
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generate_stream_internal(infer.clone(), compute_type.clone(), Json(generate_request), span.clone()).await;
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state = ChatState::new(using_tools, stream_options.clone(), system_fingerprint.clone(), model_id.clone(), logprobs, id.clone());
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state = ChatState::new(using_tools.is_some(), stream_options.clone(), system_fingerprint.clone(), model_id.clone(), logprobs, id.clone());
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response_stream = Box::pin(response_stream2);
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response_stream = Box::pin(response_stream2);
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}
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}
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ChatEvent::Events(events) => {
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ChatEvent::Events(events) => {
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@ -1237,14 +1236,13 @@ pub(crate) async fn chat_completions(
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.unwrap_or_else(|_| std::time::Duration::from_secs(0))
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.unwrap_or_else(|_| std::time::Duration::from_secs(0))
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.as_secs();
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.as_secs();
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let (tool_calls, output) = if using_tools {
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let (tool_calls, output) = if using_tools.is_some() {
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match crate::chat::parse_output(&generation.generated_text)? {
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match crate::chat::parse_output(&generation.generated_text)? {
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ChatChoice::NoTool => {
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ChatChoice::NoTool => {
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chat.tools = None;
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chat.tools = None;
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chat.response_format = None;
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chat.response_format = None;
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let (generate_request, using_tools): (GenerateRequest, bool) =
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let (generate_request, using_tools) = chat.clone().try_into_generate(&infer)?;
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chat.clone().try_into_generate(&infer)?;
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assert!(using_tools.is_none());
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assert!(!using_tools);
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let (headers_final, input_length_final, Json(generation)) = generate_internal(
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let (headers_final, input_length_final, Json(generation)) = generate_internal(
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Extension(infer),
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Extension(infer),
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compute_type,
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compute_type,
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@ -1256,7 +1254,16 @@ pub(crate) async fn chat_completions(
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input_length = input_length_final;
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input_length = input_length_final;
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(None, Some(generation.generated_text))
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(None, Some(generation.generated_text))
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}
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}
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ChatChoice::ToolCalls(tool_calls) => (Some(tool_calls), None),
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ChatChoice::ToolCalls(mut tool_calls) => {
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// assign the tool ids based on the tool names
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tool_calls.iter_mut().for_each(|tool_call| {
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tool_call.id = using_tools
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.as_ref()
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.and_then(|tools| tools.get(&tool_call.function.name))
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.map_or("0".to_string(), |id| id.clone());
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});
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(Some(tool_calls), None)
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}
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}
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}
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} else {
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} else {
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(None, Some(generation.generated_text))
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(None, Some(generation.generated_text))
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@ -104,8 +104,7 @@ pub(crate) async fn vertex_compatibility(
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},
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},
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},
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},
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VertexInstance::Chat(instance) => {
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VertexInstance::Chat(instance) => {
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let (generate_request, _using_tools): (GenerateRequest, bool) =
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let (generate_request, _using_tools) = instance.try_into_generate(&infer)?;
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instance.try_into_generate(&infer)?;
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generate_request
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generate_request
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}
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}
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};
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};
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