fix: remove continue_final_message chat request param
This commit is contained in:
David Holtz
drbh
parent
8e13d1565e
commit
5d4f1540c4
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@ -987,12 +987,6 @@
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"messages"
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],
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"properties": {
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"continue_final_message": {
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"type": "boolean",
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"description": "Whether to continue the final message in the next request.",
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"default": "false",
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"example": true
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},
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"frequency_penalty": {
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"type": "number",
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"format": "float",
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@ -5,19 +5,19 @@
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"index": 0,
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"logprobs": null,
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"message": {
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"content": "Hi, I hope this is the right place for your written question. Please provide the maximum possible length to help me complete the message for you! Based",
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"content": "\nGenerate according to: It is an elephant's one year old baby or a mouse's one year old baby. It is",
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"role": "assistant"
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}
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}
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],
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"created": 1731082056,
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"created": 1732050325,
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"id": "",
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"model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"object": "chat.completion",
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"system_fingerprint": "2.4.1-dev0-native",
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"usage": {
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"completion_tokens": 30,
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"prompt_tokens": 57,
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"total_tokens": 87
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"prompt_tokens": 37,
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"total_tokens": 67
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}
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}
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@ -5,19 +5,19 @@
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"index": 0,
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"logprobs": null,
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"message": {
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"content": ": Thanks for the awesome slides, they were just what we needed to produce the presentation we needed to deliver for our company's budgeting system",
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"content": " Shere Kohan's fantastic exploits? written by David Shimomura & illustrated by Sarah Stern\n\nTitle: Elephant",
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"role": "assistant"
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}
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}
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],
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"created": 1731082129,
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"created": 1732050326,
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"id": "",
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"model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"object": "chat.completion",
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"system_fingerprint": "2.4.1-dev0-native",
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"usage": {
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"completion_tokens": 30,
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"prompt_tokens": 44,
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"total_tokens": 74
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"prompt_tokens": 61,
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"total_tokens": 91
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}
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}
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@ -28,13 +28,11 @@ def test_llama_completion_single_prompt(
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"model": "tgi",
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"messages": [
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{"role": "system", "content": "system message"},
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{"role": "user", "content": "user message"},
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{"role": "assistant", "content": "assistant message"},
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{"role": "user", "content": "Which is bigger an elephant or a mouse?"},
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],
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"max_tokens": 30,
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"stream": False,
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"seed": 1337,
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"continue_final_message": False,
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},
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headers=llama_continue_final_message.headers,
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stream=False,
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@ -45,7 +43,7 @@ def test_llama_completion_single_prompt(
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content = response["choices"][0]["message"]["content"]
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assert (
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content
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== "Hi, I hope this is the right place for your written question. Please provide the maximum possible length to help me complete the message for you! Based"
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== "\nGenerate according to: It is an elephant's one year old baby or a mouse's one year old baby. It is"
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)
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assert response == response_snapshot
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@ -59,13 +57,15 @@ def test_llama_completion_single_prompt_continue(
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"model": "tgi",
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"messages": [
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{"role": "system", "content": "system message"},
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{"role": "user", "content": "user message"},
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{"role": "assistant", "content": "assistant message"},
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{"role": "user", "content": "Which is bigger an elephant or a mouse?"},
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{
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"role": "assistant",
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"content": "the elephant, but have you heard about",
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},
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],
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"max_tokens": 30,
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"stream": False,
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"seed": 1337,
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"continue_final_message": True,
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},
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headers=llama_continue_final_message.headers,
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stream=False,
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@ -76,6 +76,6 @@ def test_llama_completion_single_prompt_continue(
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content = response["choices"][0]["message"]["content"]
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assert (
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content
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== ": Thanks for the awesome slides, they were just what we needed to produce the presentation we needed to deliver for our company's budgeting system"
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== " Shere Kohan's fantastic exploits? written by David Shimomura & illustrated by Sarah Stern\n\nTitle: Elephant"
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)
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assert response == response_snapshot
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@ -54,7 +54,6 @@ impl ChatTemplate {
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pub(crate) fn apply(
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&self,
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guideline: Option<&str>,
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continue_final_message: bool,
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mut messages: Vec<Message>,
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tools_and_prompt: Option<(Vec<Tool>, String)>,
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) -> Result<String, InferError> {
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@ -85,7 +84,7 @@ impl ChatTemplate {
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};
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let messages: Vec<TextMessage> = messages.into_iter().map(|c| c.into()).collect();
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let final_message_content = messages.last().map(|m| m.content.clone());
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let final_message = messages.last().cloned();
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let mut rendered_template = self
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.template
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.render(ChatTemplateInputs {
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@ -98,20 +97,20 @@ impl ChatTemplate {
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})
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.map_err(InferError::TemplateError)?;
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if continue_final_message {
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// find the last occurrence of the final message in the rendered chat
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if let Some(final_message) = final_message_content {
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rendered_template = if let Some(index) = rendered_template.rfind(&final_message) {
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// if the last message is from the assistant, continue the generation prompt
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rendered_template = match final_message {
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Some(msg) if msg.role == "assistant" => {
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match rendered_template.rfind(msg.content.as_str()) {
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// implementation based on feature in transformers pipeline
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// https://github.com/huggingface/transformers/blob/1cf17077bf2d4affed31387c0943251a4ba8fab7/src/transformers/pipelines/text_generation.py#L418
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rendered_template[..index + final_message.len()]
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Some(index) => rendered_template[..index + msg.content.len()]
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.trim_end()
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.to_string()
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} else {
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rendered_template
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.to_string(),
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None => rendered_template,
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}
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}
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_ => rendered_template,
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};
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}
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}
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Ok(rendered_template)
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}
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@ -843,9 +842,8 @@ mod tests {
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content: MessageContent::SingleText("Hello, how are you?".to_string()),
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},
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];
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let continue_final_message = false;
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let result = ct.apply(None, continue_final_message, msgs, None);
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let result = ct.apply(None, msgs, None);
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match result {
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Ok(_) => panic!("Should have failed since no guideline is provided"),
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@ -885,10 +883,9 @@ mod tests {
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];
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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();
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let tools: Vec<Tool> = serde_json::from_str(&tools_string).unwrap();
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let continue_final_message = false;
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let tool_prompt = "This default prompt will be used".to_string();
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let tools_and_prompt = Some((tools, tool_prompt));
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let result = ct.apply(None, continue_final_message, msgs, tools_and_prompt);
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let result = ct.apply(None, msgs, tools_and_prompt);
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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();
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assert_eq!(result.unwrap(), expected);
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}
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@ -920,10 +917,9 @@ mod tests {
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];
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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();
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let tools: Vec<Tool> = serde_json::from_str(&tools_string).unwrap();
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let continue_final_message = false;
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let tool_prompt = "This default prompt will be used".to_string();
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let tools_and_prompt = Some((tools, tool_prompt));
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let result = ct.apply(None, continue_final_message, msgs, tools_and_prompt);
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let result = ct.apply(None, msgs, tools_and_prompt);
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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();
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assert_eq!(result.unwrap(), expected);
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}
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@ -160,19 +160,13 @@ impl Infer {
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pub(crate) fn apply_chat_template(
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&self,
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guideline: Option<String>,
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continue_final_message: bool,
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messages: Vec<Message>,
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tools_and_prompt: Option<(Vec<Tool>, String)>,
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) -> Result<String, InferError> {
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self.chat_template
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.as_ref()
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.ok_or_else(|| InferError::TemplateError(ErrorKind::TemplateNotFound.into()))?
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.apply(
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guideline.as_deref(),
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continue_final_message,
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messages,
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tools_and_prompt,
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)
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.apply(guideline.as_deref(), messages, tools_and_prompt)
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.map_err(|e| {
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metrics::counter!("tgi_request_failure", "err" => "template").increment(1);
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tracing::error!("{e}");
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