feat: add family-based chat templates

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Evandro Fonseca Junior committed 2026-03-26 18:16:54 -03:00
1 parent b3001f6234
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@@ -1,14 +1,9 @@
# Autoresearch Dashboard: latency-p95-chat-completions # Autoresearch Dashboard: dynamic-chat-templates
**Runs:** 6 | **Kept:** 2 | **Discarded:** 4 | **Crashed:** 0 **Runs:** 1 | **Kept:** 1 | **Discarded:** 0 | **Crashed:** 0
**Baseline:** p95_ms: 941.252ms (#1) **Baseline:** template_score: 20.0% (#7)
**Best:** p95_ms: 925.587ms (#6, -1.7%) **Best:** template_score: 20.0% (#7, +0.0%)
| # | commit | p95_ms | status | description | | # | commit | template_score | status | description |
|---|--------|--------|--------|-------------| |---|--------|----------------|--------|-------------|
| 1 | ceed0e5 | 941.252ms (+0.0%) | keep | baseline | | 7 | 89ef220 | 20.0% (+0.0%) | keep | baseline |
| 2 | 5269f43 | 1032.315ms (+9.7%) | discard | use stack buffer for token detokenization |
| 3 | 994e607 | 1004.435ms (+6.7%) | discard | slim turbo4b runtime profile |
| 4 | db92212 | 3027.145ms (+221.6%) | discard | switch to qwen-style chat template |
| 5 | caf4654 | 965.663ms (+2.6%) | discard | stop generation on default turn boundaries |
| 6 | e8402d2 | 925.587ms (-1.7%) | keep | disable llama perf counters in hot path |
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@@ -5,3 +5,5 @@
{"run":4,"commit":"db92212","metric":3027.145,"metrics":{"p50_ms":974.937,"mean_ms":1467.026,"completion_tps_mean":41.360,"success_count":7},"status":"discard","description":"switch to qwen-style chat template","timestamp":1774558217,"segment":0} {"run":4,"commit":"db92212","metric":3027.145,"metrics":{"p50_ms":974.937,"mean_ms":1467.026,"completion_tps_mean":41.360,"success_count":7},"status":"discard","description":"switch to qwen-style chat template","timestamp":1774558217,"segment":0}
{"run":5,"commit":"caf4654","metric":965.663,"metrics":{"p50_ms":877.030,"mean_ms":897.251,"completion_tps_mean":53.686,"success_count":7},"status":"discard","description":"stop generation on default turn boundaries","timestamp":1774558444,"segment":0} {"run":5,"commit":"caf4654","metric":965.663,"metrics":{"p50_ms":877.030,"mean_ms":897.251,"completion_tps_mean":53.686,"success_count":7},"status":"discard","description":"stop generation on default turn boundaries","timestamp":1774558444,"segment":0}
{"run":6,"commit":"e8402d2","metric":925.587,"metrics":{"p50_ms":893.913,"mean_ms":899.895,"completion_tps_mean":53.618,"success_count":7},"status":"keep","description":"disable llama perf counters in hot path","timestamp":1774558642,"segment":0} {"run":6,"commit":"e8402d2","metric":925.587,"metrics":{"p50_ms":893.913,"mean_ms":899.895,"completion_tps_mean":53.618,"success_count":7},"status":"keep","description":"disable llama perf counters in hot path","timestamp":1774558642,"segment":0}
{"type":"config","name":"dynamic-chat-templates","metricName":"template_score","metricUnit":"%","bestDirection":"higher"}
{"run":7,"commit":"89ef220","metric":20.0,"metrics":{"passed_cases":1,"failed_cases":4,"total_cases":5},"status":"keep","description":"baseline","timestamp":1774559683,"segment":1}
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@@ -191,6 +191,15 @@ pub struct FinalizedAssistant {
pub finish_reason: FinishReason, pub finish_reason: FinishReason,
} }
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
enum ChatTemplate {
Generic,
Qwen,
Gemma,
Llama,
Kimi,
}
pub fn authorize_request( pub fn authorize_request(
headers: &HeaderMap, headers: &HeaderMap,
config: &ServerConfig, config: &ServerConfig,
@@ -294,6 +303,7 @@ pub fn validate_request(
} }
pub fn prepare_prompt(req: &ChatCompletionRequest, config: &ServerConfig) -> PreparedPrompt { pub fn prepare_prompt(req: &ChatCompletionRequest, config: &ServerConfig) -> PreparedPrompt {
let template = select_chat_template(req, config);
let mut prompt = String::with_capacity(1024); let mut prompt = String::with_capacity(1024);
let has_system = req let has_system = req
.messages .messages
@@ -301,52 +311,46 @@ pub fn prepare_prompt(req: &ChatCompletionRequest, config: &ServerConfig) -> Pre
.any(|message| matches!(message.role, Role::System | Role::Developer)); .any(|message| matches!(message.role, Role::System | Role::Developer));
if !has_system { if !has_system {
prompt.push_str("System: "); append_chat_message(
prompt.push_str(&config.default_system_prompt); &mut prompt,
prompt.push('\n'); template,
Role::System,
None,
&config.default_system_prompt,
);
} }
if let Some(format) = &req.response_format { if let Some(format) = &req.response_format {
append_response_format_instruction(&mut prompt, format); append_response_format_instruction(&mut prompt, template, format);
} }
if !req.tools.is_empty() { if !req.tools.is_empty() {
append_tool_instructions(&mut prompt, &req.tools, req.tool_choice.as_ref()); append_tool_instructions(&mut prompt, template, &req.tools, req.tool_choice.as_ref());
} }
for msg in &req.messages { for msg in &req.messages {
let role = match msg.role { let mut content = if let Some(tool_calls) = &msg.tool_calls {
Role::System => "System", serde_json::to_string(tool_calls).unwrap_or_else(|_| "[]".to_owned())
Role::Developer => "Developer",
Role::User => "User",
Role::Assistant => "Assistant",
Role::Tool => "Tool",
};
prompt.push_str(role);
if let Some(name) = &msg.name {
prompt.push_str("(");
prompt.push_str(name);
prompt.push(')');
}
prompt.push_str(": ");
if let Some(tool_calls) = &msg.tool_calls {
let tool_json = serde_json::to_string(tool_calls).unwrap_or_else(|_| "[]".to_owned());
prompt.push_str(&tool_json);
} else { } else {
prompt.push_str(msg.text()); msg.text().to_owned()
} };
if let Some(tool_call_id) = &msg.tool_call_id { if let Some(tool_call_id) = &msg.tool_call_id {
prompt.push_str(" [tool_call_id="); content.push_str(" [tool_call_id=");
prompt.push_str(tool_call_id); content.push_str(tool_call_id);
prompt.push(']'); content.push(']');
} }
prompt.push('\n'); append_chat_message(
&mut prompt,
template,
msg.role.clone(),
msg.name.as_deref(),
&content,
);
} }
prompt.push_str("Assistant:"); append_assistant_prefix(&mut prompt, template);
PreparedPrompt { PreparedPrompt {
prompt, prompt,
@@ -395,17 +399,47 @@ pub fn tool_calls_to_delta(tool_calls: &[ToolCall]) -> Vec<DeltaToolCall> {
.collect() .collect()
} }
fn append_response_format_instruction(prompt: &mut String, format: &ResponseFormat) { fn select_chat_template(req: &ChatCompletionRequest, config: &ServerConfig) -> ChatTemplate {
let model_id = config
.resolve_model(&req.model)
.map(|model| model.root.as_str())
.unwrap_or(req.model.as_str());
let normalized = model_id.to_ascii_lowercase();
if normalized.contains("qwen") {
ChatTemplate::Qwen
} else if normalized.contains("gemma") {
ChatTemplate::Gemma
} else if normalized.contains("llama") {
ChatTemplate::Llama
} else if normalized.contains("kimi") {
ChatTemplate::Kimi
} else {
ChatTemplate::Generic
}
}
fn append_response_format_instruction(
prompt: &mut String,
template: ChatTemplate,
format: &ResponseFormat,
) {
match format.format_type.as_str() { match format.format_type.as_str() {
"json_object" => { "json_object" => {
prompt.push_str("System: Return valid JSON only. Do not wrap it in markdown fences.\n"); append_chat_message(
prompt,
template,
Role::System,
None,
"Return valid JSON only. Do not wrap it in markdown fences.",
);
} }
"json_schema" => { "json_schema" => {
prompt.push_str("System: Return valid JSON only and follow this schema exactly: "); let mut content = "Return valid JSON only and follow this schema exactly: ".to_owned();
if let Some(schema) = &format.json_schema { if let Some(schema) = &format.json_schema {
prompt.push_str(&schema.to_string()); content.push_str(&schema.to_string());
} }
prompt.push('\n'); append_chat_message(prompt, template, Role::System, None, &content);
} }
_ => {} _ => {}
} }
@@ -413,6 +447,7 @@ fn append_response_format_instruction(prompt: &mut String, format: &ResponseForm
fn append_tool_instructions( fn append_tool_instructions(
prompt: &mut String, prompt: &mut String,
template: ChatTemplate,
tools: &[ToolDefinition], tools: &[ToolDefinition],
tool_choice: Option<&ToolChoice>, tool_choice: Option<&ToolChoice>,
) { ) {
@@ -427,32 +462,150 @@ fn append_tool_instructions(
}) })
.collect(); .collect();
prompt.push_str("System: Available tools: "); let mut available_tools = "Available tools: ".to_owned();
prompt.push_str(&serde_json::to_string(&tool_summaries).unwrap_or_else(|_| "[]".to_owned())); available_tools
prompt.push('\n'); .push_str(&serde_json::to_string(&tool_summaries).unwrap_or_else(|_| "[]".to_owned()));
prompt append_chat_message(prompt, template, Role::System, None, &available_tools);
.push_str("System: If you need a tool, respond with JSON only using one of these shapes: ");
prompt.push_str(r#"{"tool_calls":[{"name":"tool_name","arguments":{}}]}"#); let tool_usage = format!(
prompt.push_str(" or "); "If you need a tool, respond with JSON only using one of these shapes: {} or {}. If no tool is needed, answer normally.",
prompt.push_str(r#"{"name":"tool_name","arguments":{}}"#); r#"{"tool_calls":[{"name":"tool_name","arguments":{}}]}"#,
prompt.push_str(". If no tool is needed, answer normally.\n"); r#"{"name":"tool_name","arguments":{}}"#
);
append_chat_message(prompt, template, Role::System, None, &tool_usage);
match tool_choice { match tool_choice {
Some(ToolChoice::Mode(mode)) if mode == "required" => { Some(ToolChoice::Mode(mode)) if mode == "required" => {
prompt.push_str("System: You must call a tool before replying.\n"); append_chat_message(
prompt,
template,
Role::System,
None,
"You must call a tool before replying.",
);
} }
Some(ToolChoice::Mode(mode)) if mode == "none" => { Some(ToolChoice::Mode(mode)) if mode == "none" => {
prompt.push_str("System: Do not call tools in this response.\n"); append_chat_message(
prompt,
template,
Role::System,
None,
"Do not call tools in this response.",
);
} }
Some(ToolChoice::Specific(choice)) => { Some(ToolChoice::Specific(choice)) => {
prompt.push_str("System: You must call the tool named "); let content = format!("You must call the tool named {}.", choice.function.name);
prompt.push_str(&choice.function.name); append_chat_message(prompt, template, Role::System, None, &content);
prompt.push_str(".\n");
} }
_ => {} _ => {}
} }
} }
fn append_chat_message(
prompt: &mut String,
template: ChatTemplate,
role: Role,
name: Option<&str>,
content: &str,
) {
let content = if let Some(name) = name {
format!("{} ({})", content, name)
} else {
content.to_owned()
};
match template {
ChatTemplate::Generic => {
prompt.push_str(generic_role_name(&role));
prompt.push_str(": ");
prompt.push_str(&content);
prompt.push('\n');
}
ChatTemplate::Qwen => {
prompt.push_str("<|im_start|>");
prompt.push_str(qwen_role_name(&role));
prompt.push('\n');
prompt.push_str(&content);
prompt.push_str("<|im_end|>\n");
}
ChatTemplate::Gemma => {
prompt.push_str("<start_of_turn>");
prompt.push_str(gemma_role_name(&role));
prompt.push('\n');
prompt.push_str(&content);
prompt.push_str("<end_of_turn>\n");
}
ChatTemplate::Llama => match role {
Role::Assistant => {
prompt.push_str(&content);
prompt.push('\n');
}
_ => {
prompt.push_str("[INST] ");
if matches!(role, Role::System | Role::Developer) {
prompt.push_str("<<SYS>>\n");
prompt.push_str(&content);
prompt.push_str("\n<</SYS>>");
} else {
prompt.push_str(&content);
}
prompt.push_str(" [/INST]\n");
}
},
ChatTemplate::Kimi => {
prompt.push_str(kimi_role_marker(&role));
prompt.push('\n');
prompt.push_str(&content);
prompt.push('\n');
}
}
}
fn append_assistant_prefix(prompt: &mut String, template: ChatTemplate) {
match template {
ChatTemplate::Generic => prompt.push_str("Assistant:"),
ChatTemplate::Qwen => prompt.push_str("<|im_start|>assistant\n"),
ChatTemplate::Gemma => prompt.push_str("<start_of_turn>model\n"),
ChatTemplate::Llama => prompt.push_str("[INST] "),
ChatTemplate::Kimi => prompt.push_str("<|im_assistant|>\n"),
}
}
fn generic_role_name(role: &Role) -> &'static str {
match role {
Role::System => "System",
Role::Developer => "Developer",
Role::User => "User",
Role::Assistant => "Assistant",
Role::Tool => "Tool",
}
}
fn qwen_role_name(role: &Role) -> &'static str {
match role {
Role::System | Role::Developer => "system",
Role::User => "user",
Role::Assistant => "assistant",
Role::Tool => "tool",
}
}
fn gemma_role_name(role: &Role) -> &'static str {
match role {
Role::Assistant => "model",
Role::System | Role::Developer | Role::User | Role::Tool => "user",
}
}
fn kimi_role_marker(role: &Role) -> &'static str {
match role {
Role::System | Role::Developer => "<|im_system|>",
Role::User => "<|im_user|>",
Role::Assistant => "<|im_assistant|>",
Role::Tool => "<|im_tool|>",
}
}
fn parse_tool_calls(raw_output: &str) -> Option<Vec<ToolCall>> { fn parse_tool_calls(raw_output: &str) -> Option<Vec<ToolCall>> {
let trimmed = raw_output.trim(); let trimmed = raw_output.trim();
if trimmed.is_empty() { if trimmed.is_empty() {
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@@ -61,3 +61,15 @@
- Result: p95_ms=3027.145, p50_ms=974.937, mean_ms=1467.026, completion_tps_mean=41.360, success_count=7. - Result: p95_ms=3027.145, p50_ms=974.937, mean_ms=1467.026, completion_tps_mean=41.360, success_count=7.
- Insight: The template did not make typical requests much faster and introduced severe tail latency, likely because some generations stopped much later or followed a worse decoding path for this server/model combination. - Insight: The template did not make typical requests much faster and introduced severe tail latency, likely because some generations stopped much later or followed a worse decoding path for this server/model combination.
- Next: revert this template change and focus on experiments that directly bound generation length or improve stop behavior without overhauling the prompt format. - Next: revert this template change and focus on experiments that directly bound generation length or improve stop behavior without overhauling the prompt format.
## Segment 1: Dynamic Chat Templates
- New objective: add dynamic prompt templates by model family with built-in coverage for Qwen, Gemma, Llama, Kimi, and a generic fallback.
- Benchmark driver: `./autoresearch.sh` now runs ignored template-specific tests and reports `template_score`, `passed_cases`, `failed_cases`, and `total_cases`.
- Keep/discard rule for this segment is test-driven: higher `template_score` wins, while the regular non-ignored test suite must remain green.
### Run 7: baseline - template_score=20.0 (KEEP)
- Timestamp: 2026-03-26 18:14
- What changed: Re-initialized autoresearch to a new segment focused on dynamic chat templates, added a dedicated ignored test suite for Qwen, Gemma, Llama, Kimi, and generic fallback behavior, and switched the benchmark harness to score that suite.
- Result: template_score=20.0, passed_cases=1, failed_cases=4, total_cases=5.
- Insight: Only the generic fallback works today; all named family-template expectations fail because prompt rendering is still generic and model-agnostic.
- Next: add a minimal model-family detector and template registry in `crates/inference-server/src/compat.rs`, then route `prepare_prompt()` through it.