feat: support continue_final_message param in chat request

router/src/infer/chat_template.rs

@@ -54,6 +54,7 @@ impl ChatTemplate {
     pub(crate) fn apply(
         &self,
         guideline: Option<&str>,
+        continue_final_message: bool,
         mut messages: Vec<Message>,
         tools_and_prompt: Option<(Vec<Tool>, String)>,
     ) -> Result<String, InferError> {
@@ -84,8 +85,9 @@ impl ChatTemplate {
         };
 
         let messages: Vec<TextMessage> = messages.into_iter().map(|c| c.into()).collect();
-
+        let final_message_content = messages.last().map(|m| m.content.clone());
-        self.template
+        let mut rendered_template = self
+            .template
             .render(ChatTemplateInputs {
                 guideline,
                 messages,
@@ -94,7 +96,24 @@ impl ChatTemplate {
                 add_generation_prompt: true,
                 tools,
             })
-            .map_err(InferError::TemplateError)
+            .map_err(InferError::TemplateError)?;
+
+        if continue_final_message {
+            // find the last occurrence of the final message in the rendered chat
+            if let Some(final_message) = final_message_content {
+                rendered_template = if let Some(index) = rendered_template.rfind(&final_message) {
+                    // implementation based on feature in transformers pipeline
+                    // https://github.com/huggingface/transformers/blob/1cf17077bf2d4affed31387c0943251a4ba8fab7/src/transformers/pipelines/text_generation.py#L418
+                    rendered_template[..index + final_message.len()]
+                        .trim_end()
+                        .to_string()
+                } else {
+                    rendered_template
+                };
+            }
+        }
+
+        Ok(rendered_template)
     }
 }
 
@@ -824,8 +843,9 @@ mod tests {
                 content: MessageContent::SingleText("Hello, how are you?".to_string()),
             },
         ];
+        let continue_final_message = false;
 
-        let result = ct.apply(None, msgs, None);
+        let result = ct.apply(None, continue_final_message, msgs, None);
 
         match result {
             Ok(_) => panic!("Should have failed since no guideline is provided"),
@@ -865,9 +885,10 @@ mod tests {
         ];
         let tools_string = r#"[{"type": "function","function": {"name": "get_current_weather","description": "Get the current weather","parameters": {"type": "object","properties": {"location": {"type": "string","description": "The city and state, e.g. San Francisco, CA"},"format": {"type": "string","enum": ["celsius", "fahrenheit"],"description": "The temperature unit to use. Infer this from the users location."}},"required": ["location", "format"]}}}]"#.to_string();
         let tools: Vec<Tool> = serde_json::from_str(&tools_string).unwrap();
+        let continue_final_message = false;
         let tool_prompt = "This default prompt will be used".to_string();
         let tools_and_prompt = Some((tools, tool_prompt));
-        let result = ct.apply(None, msgs, tools_and_prompt);
+        let result = ct.apply(None, continue_final_message, msgs, tools_and_prompt);
         let expected = "<s>[INST] I'd like to show off how chat templating works! [/INST]Great! How can I help you today?</s> [INST] Just testing\n---\n[{\"type\":\"function\",\"function\":{\"description\":\"Get the current weather\",\"name\":\"get_current_weather\",\"arguments\":{\"properties\":{\"format\":{\"description\":\"The temperature unit to use. Infer this from the users location.\",\"enum\":[\"celsius\",\"fahrenheit\"],\"type\":\"string\"},\"location\":{\"description\":\"The city and state, e.g. San Francisco, CA\",\"type\":\"string\"}},\"required\":[\"location\",\"format\"],\"type\":\"object\"}}}]\nThis default prompt will be used [/INST]".to_string();
         assert_eq!(result.unwrap(), expected);
     }
@@ -899,9 +920,10 @@ mod tests {
         ];
         let tools_string = r#"[{"type": "function","function": {"name": "get_current_weather","description": "Get the current weather","parameters": {"type": "object","properties": {"location": {"type": "string","description": "The city and state, e.g. San Francisco, CA"},"format": {"type": "string","enum": ["celsius", "fahrenheit"],"description": "The temperature unit to use. Infer this from the users location."}},"required": ["location", "format"]}}}]"#.to_string();
         let tools: Vec<Tool> = serde_json::from_str(&tools_string).unwrap();
+        let continue_final_message = false;
         let tool_prompt = "This default prompt will be used".to_string();
         let tools_and_prompt = Some((tools, tool_prompt));
-        let result = ct.apply(None, msgs, tools_and_prompt);
+        let result = ct.apply(None, continue_final_message, msgs, tools_and_prompt);
         let expected = "<s><|start_header_id|>system<|end_header_id|>\n\nEnvironment: ipython\nCutting Knowledge Date: December 2023\nToday Date: 26 Jul 2024\n\nYoure a helpful assistant! Answer the users question best you can.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nGiven the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt.\n\nRespond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.Do not use variables.\n\n{\n    \"function\": {\n        \"arguments\": {\n            \"properties\": {\n                \"format\": {\n                    \"description\": \"The temperature unit to use. Infer this from the users location.\",\n                    \"enum\": [\n                        \"celsius\",\n                        \"fahrenheit\"\n                    ],\n                    \"type\": \"string\"\n                },\n                \"location\": {\n                    \"description\": \"The city and state, e.g. San Francisco, CA\",\n                    \"type\": \"string\"\n                }\n            },\n            \"required\": [\n                \"location\",\n                \"format\"\n            ],\n            \"type\": \"object\"\n        },\n        \"description\": \"Get the current weather\",\n        \"name\": \"get_current_weather\"\n    },\n    \"type\": \"function\"\n}\n\nWhat is the weather like in Brooklyn, New York?\n---\nThis default prompt will be used<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n".to_string();
         assert_eq!(result.unwrap(), expected);
     }

router/src/infer/mod.rs

@@ -160,13 +160,19 @@ impl Infer {
     pub(crate) fn apply_chat_template(
         &self,
         guideline: Option<String>,
+        continue_final_message: bool,
         messages: Vec<Message>,
         tools_and_prompt: Option<(Vec<Tool>, String)>,
     ) -> Result<String, InferError> {
         self.chat_template
             .as_ref()
             .ok_or_else(|| InferError::TemplateError(ErrorKind::TemplateNotFound.into()))?
-            .apply(guideline.as_deref(), messages, tools_and_prompt)
+            .apply(
+                guideline.as_deref(),
+                continue_final_message,
+                messages,
+                tools_and_prompt,
+            )
             .map_err(|e| {
                 metrics::counter!("tgi_request_failure", "err" => "template").increment(1);
                 tracing::error!("{e}");