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End tool call

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This commit is contained in:
Dhanji Prasanna
2025-09-09 15:18:08 +10:00
parent fa34755851
commit 358faa15e0
2 changed files with 225 additions and 72 deletions
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75
crates/g3-core/src/lib.rs
View File

@@ -53,8 +53,16 @@ impl StreamingToolParser {
// Look for the start of a tool call pattern: {"tool":
if !self.in_tool_call {
// Look for JSON tool call pattern - check both raw JSON and inside code blocks
if let Some(pos) = self.buffer.rfind(r#"{"tool":"#) {
//info!("Found tool call pattern at position: {}", pos);
// Also handle malformed patterns like {"{""tool"":
let patterns = [
r#"{"tool":"#, // Normal pattern
r#"{"{""tool"":"#, // Malformed pattern with extra brace and doubled quotes
r#"{{""tool"":"#, // Alternative malformed pattern
];
for pattern in &patterns {
if let Some(pos) = self.buffer.rfind(pattern) {
info!("Found tool call pattern '{}' at position: {}", pattern, pos);
// Check if this is inside a code block
let before_pos = &self.buffer[..pos];
@@ -70,6 +78,7 @@ impl StreamingToolParser {
// Continue parsing from after the opening brace
return self.parse_from_start_pos(pos);
}
}
} else {
//info!("Already in tool call, continuing parsing");
// We're already in a tool call, continue parsing
@@ -100,10 +109,17 @@ impl StreamingToolParser {
if current_brace_count == 0 {
// Found complete JSON object
let end_pos = start_pos + i + 1;
let json_str = &self.buffer[start_pos..end_pos];
let mut json_str = self.buffer[start_pos..end_pos].to_string();
if let Ok(tool_call) = serde_json::from_str::<ToolCall>(json_str) {
//info!("Successfully parsed tool call: {:?}", tool_call);
// Clean up malformed JSON patterns
json_str = json_str
.replace(r#"{"{""#, r#"{"#) // Fix {"{" -> {"
.replace(r#"""}"#, r#""}"#) // Fix ""} -> "}
.replace(r#"{{""#, r#"{"#) // Fix {{" -> {"
.replace(r#"""}"#, r#""}"#); // Fix ""} -> "}
if let Ok(tool_call) = serde_json::from_str::<ToolCall>(&json_str) {
info!("Successfully parsed tool call: {:?}", tool_call);
// Reset parser state
self.in_tool_call = false;
self.tool_start_pos = None;
@@ -111,7 +127,7 @@ impl StreamingToolParser {
return Some((tool_call, end_pos));
} else {
info!("Failed to parse JSON: {}", json_str);
info!("Failed to parse JSON after cleanup: {}", json_str);
// Invalid JSON, reset and continue looking
self.in_tool_call = false;
self.tool_start_pos = None;
@@ -261,6 +277,7 @@ impl Agent {
"codellama" => 16384, // CodeLlama supports 16k context
"llama" => 4096, // Base Llama models
"mistral" => 8192, // Mistral models
"qwen" => 32768, // Qwen2.5 supports 32k context
_ => 4096, // Conservative default
}
})
@@ -630,28 +647,42 @@ The tool will execute immediately and you'll receive the result to continue with
// Found a complete tool call! Stop streaming and execute it
let content_before_tool = parser.get_content_before_tool(tool_end_pos);
// Display content up to the tool call (excluding the JSON)
// Display content up to the tool call (excluding the JSON and any stop tokens)
let display_content = if let Some(json_start) =
content_before_tool.rfind(r#"{"tool":"#)
{
&content_before_tool[..json_start]
// Only show content before the JSON tool call
content_before_tool[..json_start].trim()
} else {
&content_before_tool
// Fallback: clean any stop tokens from the content
content_before_tool.trim()
};
// Clean stop tokens from display content
let clean_display_content = display_content
.replace("<|im_end|>", "")
.replace("</s>", "")
.replace("[/INST]", "")
.replace("<</SYS>>", "");
let final_display_content = clean_display_content.trim();
// Safely get the new content to display
let new_content = if current_response.len() <= display_content.len() {
let new_content = if current_response.len() <= final_display_content.len() {
// Use char indices to avoid UTF-8 boundary issues
let chars_already_shown = current_response.chars().count();
display_content
final_display_content
.chars()
.skip(chars_already_shown)
.collect::<String>()
} else {
String::new()
};
// Only print if there's actually new content to show
if !new_content.trim().is_empty() {
print!("{}", new_content);
io::stdout().flush()?;
}
// Execute the tool with formatted output
println!(); // New line before tool execution
@@ -724,20 +755,36 @@ The tool will execute immediately and you'll receive the result to continue with
// Update the request with the new context for next iteration
request.messages = self.context_window.conversation_history.clone();
full_response.push_str(display_content);
full_response.push_str(final_display_content);
full_response.push_str(&format!(
"\n\nTool executed: {} -> {}\n\n",
tool_call.tool, tool_result
));
// Check if this was a final_output tool call - if so, stop the conversation
if tool_call.tool == "final_output" {
println!(); // New line after final output
let ttft = first_token_time.unwrap_or_else(|| stream_start.elapsed());
return Ok((full_response, ttft));
}
tool_executed = true;
// Break out of current stream to start a new one with updated context
break;
} else {
// No tool call detected, continue streaming normally
print!("{}", chunk.content);
// Filter out stop tokens from the streaming output
let clean_content = chunk.content
.replace("<|im_end|>", "")
.replace("</s>", "")
.replace("[/INST]", "")
.replace("<</SYS>>", "");
if !clean_content.is_empty() {
print!("{}", clean_content);
io::stdout().flush()?;
current_response.push_str(&chunk.content);
current_response.push_str(&clean_content);
}
}
if chunk.finished {

154
crates/g3-core/src/providers/embedded.rs
View File

@@ -86,7 +86,31 @@ impl EmbeddedProvider {
}
fn format_messages(&self, messages: &[Message]) -> String {
// Use proper prompt format for CodeLlama
// Determine the appropriate format based on model type
let model_name_lower = self.model_name.to_lowercase();
if model_name_lower.contains("qwen") {
// Qwen format: <|im_start|>role\ncontent<|im_end|>
let mut formatted = String::new();
for message in messages {
let role = match message.role {
MessageRole::System => "system",
MessageRole::User => "user",
MessageRole::Assistant => "assistant",
};
formatted.push_str(&format!(
"<|im_start|>{}\n{}<|im_end|>\n",
role, message.content
));
}
// Add the start of assistant response
formatted.push_str("<|im_start|>assistant\n");
formatted
} else {
// Use Llama/CodeLlama format for other models
let mut formatted = String::new();
for message in messages {
@@ -105,9 +129,9 @@ impl EmbeddedProvider {
}
}
}
formatted
}
}
async fn generate_completion(
&self,
@@ -138,10 +162,26 @@ impl EmbeddedProvider {
let result = tokio::time::timeout(
timeout_duration,
tokio::task::spawn_blocking(move || {
let mut session = match session.try_lock() {
Ok(ctx) => ctx,
Err(_) => return Err(anyhow::anyhow!("Model is busy, please try again")),
};
// Retry logic for acquiring the session lock
let mut session_guard = None;
for attempt in 0..5 {
match session.try_lock() {
Ok(ctx) => {
session_guard = Some(ctx);
break;
}
Err(_) => {
if attempt < 4 {
debug!("Session busy, retrying in {}ms (attempt {}/5)", 100 * (attempt + 1), attempt + 1);
std::thread::sleep(std::time::Duration::from_millis(100 * (attempt + 1) as u64));
} else {
return Err(anyhow::anyhow!("Model is busy after 5 attempts, please try again"));
}
}
}
}
let mut session = session_guard.ok_or_else(|| anyhow::anyhow!("Failed to acquire session lock"))?;
debug!(
"Starting inference with prompt length: {} chars, estimated {} tokens",
@@ -264,7 +304,14 @@ impl EmbeddedProvider {
// Determine model type from model_name
let model_name_lower = self.model_name.to_lowercase();
if model_name_lower.contains("codellama") || model_name_lower.contains("code-llama") {
if model_name_lower.contains("qwen") {
vec![
"<|im_end|>", // Qwen ChatML format end token
"<|endoftext|>", // Alternative end token
"</s>", // Generic end of sequence
"<|im_start|>", // Start of new message (shouldn't appear in response)
]
} else if model_name_lower.contains("codellama") || model_name_lower.contains("code-llama") {
vec![
"</s>", // End of sequence
"[/INST]", // End of instruction
@@ -381,11 +428,30 @@ impl LLMProvider for EmbeddedProvider {
// Spawn streaming task
tokio::task::spawn_blocking(move || {
let mut session = match session.try_lock() {
Ok(ctx) => ctx,
// Retry logic for acquiring the session lock
let mut session_guard = None;
for attempt in 0..5 {
match session.try_lock() {
Ok(ctx) => {
session_guard = Some(ctx);
break;
}
Err(_) => {
let _ =
tx.blocking_send(Err(anyhow::anyhow!("Model is busy, please try again")));
if attempt < 4 {
debug!("Session busy, retrying in {}ms (attempt {}/5)", 100 * (attempt + 1), attempt + 1);
std::thread::sleep(std::time::Duration::from_millis(100 * (attempt + 1) as u64));
} else {
let _ = tx.blocking_send(Err(anyhow::anyhow!("Model is busy after 5 attempts, please try again")));
return;
}
}
}
}
let mut session = match session_guard {
Some(ctx) => ctx,
None => {
let _ = tx.blocking_send(Err(anyhow::anyhow!("Failed to acquire session lock")));
return;
}
};
@@ -418,11 +484,13 @@ impl LLMProvider for EmbeddedProvider {
let mut accumulated_text = String::new();
let mut token_count = 0;
let mut unsent_tokens = String::new(); // Buffer for tokens we're holding back
// Get stop sequences dynamically based on model type
// We need to create a temporary EmbeddedProvider instance to access the method
// Since we can't access self in the spawned task, we'll use a static approach
let stop_sequences = if prompt.contains("[INST]") || prompt.contains("<<SYS>>") {
let stop_sequences = if prompt.contains("<|im_start|>") {
// Qwen ChatML format detected
vec!["<|im_end|>", "<|endoftext|>", "</s>", "<|im_start|>"]
} else if prompt.contains("[INST]") || prompt.contains("<<SYS>>") {
// Llama/CodeLlama format detected
vec!["</s>", "[/INST]", "<</SYS>>", "[INST]", "<<SYS>>", "### Human:", "### Assistant:"]
} else {
@@ -435,21 +503,21 @@ impl LLMProvider for EmbeddedProvider {
let token_string = session.model().token_to_piece(token);
accumulated_text.push_str(&token_string);
unsent_tokens.push_str(&token_string);
token_count += 1;
// Check if we've hit a stop sequence
// Check if we've hit a complete stop sequence
let mut hit_stop = false;
for stop_seq in &stop_sequences {
if accumulated_text.contains(stop_seq) {
debug!("Hit stop sequence in streaming: {}", stop_seq);
debug!("Hit complete stop sequence in streaming: {}", stop_seq);
hit_stop = true;
break;
}
}
if hit_stop {
// Don't send the token that contains the stop sequence
// Instead, send only the part before the stop sequence
// Send any remaining clean content before stopping
let mut clean_accumulated = accumulated_text.clone();
for stop_seq in &stop_sequences {
if let Some(pos) = clean_accumulated.find(stop_seq) {
@@ -459,7 +527,7 @@ impl LLMProvider for EmbeddedProvider {
}
// Calculate what part we haven't sent yet
let already_sent_len = accumulated_text.len() - token_string.len();
let already_sent_len = accumulated_text.len() - unsent_tokens.len();
if clean_accumulated.len() > already_sent_len {
let remaining_to_send = &clean_accumulated[already_sent_len..];
if !remaining_to_send.is_empty() {
@@ -472,16 +540,54 @@ impl LLMProvider for EmbeddedProvider {
}
}
break;
} else {
// Normal token, send it
}
// Check if we're building towards a stop sequence
let mut might_be_stop = false;
for stop_seq in &stop_sequences {
for i in 1..stop_seq.len() {
let partial = &stop_seq[..i];
if accumulated_text.ends_with(partial) {
debug!("Detected potential partial stop sequence: '{}'", partial);
might_be_stop = true;
break;
}
}
if might_be_stop {
break;
}
}
if might_be_stop {
// Hold back tokens, but only for a limited buffer size
if unsent_tokens.len() > 20 { // Don't hold back more than 20 characters
// Send the oldest part and keep only the recent part that might be a stop sequence
let to_send = &unsent_tokens[..unsent_tokens.len() - 10];
if !to_send.is_empty() {
let chunk = CompletionChunk {
content: token_string.clone(),
content: to_send.to_string(),
finished: false,
tool_calls: None,
};
if tx.blocking_send(Ok(chunk)).is_err() {
break; // Receiver dropped
break;
}
}
unsent_tokens = unsent_tokens[unsent_tokens.len() - 10..].to_string();
}
// Continue to next token without sending
} else {
// No potential stop sequence, send all unsent tokens
if !unsent_tokens.is_empty() {
let chunk = CompletionChunk {
content: unsent_tokens.clone(),
finished: false,
tool_calls: None,
};
if tx.blocking_send(Ok(chunk)).is_err() {
break;
}
unsent_tokens.clear();
}
}