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use async_trait::async_trait;
use openai_protocol::common::Tool;
use regex::Regex;
use serde_json::Value;
use crate::{
errors::{ParserError, ParserResult},
parsers::helpers,
traits::ToolParser,
types::{FunctionCall, StreamingParseResult, ToolCall, ToolCallItem},
};
/// GLM-4 MoE format parser for tool calls
///
/// Handles both GLM-4 MoE and GLM-4.7 MoE formats:
/// - GLM-4: `<tool_call>{name}\n<arg_key>{key}</arg_key>\n<arg_value>{value}</arg_value>\n</tool_call>`
/// - GLM-4.7: `<tool_call>{name}<arg_key>{key}</arg_key><arg_value>{value}</arg_value></tool_call>`
///
/// Features:
/// - XML-style tags for tool calls
/// - Key-value pairs for arguments
/// - Support for multiple sequential tool calls
pub struct Glm4MoeParser {
/// Regex for extracting complete tool calls
tool_call_extractor: Regex,
/// Regex for extracting function details
func_detail_extractor: Regex,
/// Regex for extracting argument key-value pairs
arg_extractor: Regex,
/// Buffer for accumulating incomplete patterns across chunks
buffer: String,
/// Stores complete tool call info (name and arguments) for each tool being parsed
prev_tool_call_arr: Vec<Value>,
/// Index of currently streaming tool call (-1 means no active tool)
current_tool_id: i32,
/// Tracks raw JSON string content streamed to client for each tool's arguments
streamed_args_for_tool: Vec<String>,
/// Token configuration
bot_token: &'static str,
eot_token: &'static str,
}
impl Glm4MoeParser {
/// Create a new generic GLM MoE parser with a custom func_detail_extractor pattern
///
/// # Arguments
/// - `func_detail_pattern`: Regex pattern for extracting function name and arguments
/// - For GLM-4: `r"(?s)<tool_call>([^\n]*)\n(.*)</tool_call>"`
/// - For GLM-4.7: `r"(?s)<tool_call>\s*([^<\s]+)\s*(.*?)</tool_call>"`
#[expect(
clippy::expect_used,
reason = "regex patterns are compile-time string literals"
)]
pub(crate) fn new(func_detail_pattern: &str) -> Self {
// Use (?s) flag for DOTALL mode to handle newlines
let tool_call_pattern = r"(?s)<tool_call>.*?</tool_call>";
let tool_call_extractor = Regex::new(tool_call_pattern).expect("Valid regex pattern");
let func_detail_extractor = Regex::new(func_detail_pattern).expect("Valid regex pattern");
let arg_pattern = r"(?s)<arg_key>(.*?)</arg_key>\s*<arg_value>(.*?)</arg_value>";
let arg_extractor = Regex::new(arg_pattern).expect("Valid regex pattern");
Self {
tool_call_extractor,
func_detail_extractor,
arg_extractor,
buffer: String::new(),
prev_tool_call_arr: Vec::new(),
current_tool_id: -1,
streamed_args_for_tool: Vec::new(),
bot_token: "<tool_call>",
eot_token: "</tool_call>",
}
}
/// Create a new GLM-4.5/4.6 MoE parser (with newline-based format)
pub fn glm45() -> Self {
Self::new(r"(?s)<tool_call>([^\n]*)\n(.*)</tool_call>")
}
/// Create a new GLM-4.7 MoE parser (with whitespace-based format)
pub fn glm47() -> Self {
Self::new(r"(?s)<tool_call>\s*([^<\s]+)\s*(.*?)</tool_call>")
}
/// Parse arguments from key-value pairs
fn parse_arguments(&self, args_text: &str) -> serde_json::Map<String, Value> {
let mut arguments = serde_json::Map::new();
for capture in self.arg_extractor.captures_iter(args_text) {
let key = capture.get(1).map_or("", |m| m.as_str()).trim();
let value_str = capture.get(2).map_or("", |m| m.as_str()).trim();
// Try to parse the value as JSON first, fallback to string
let value = if let Ok(json_val) = serde_json::from_str::<Value>(value_str) {
json_val
} else {
// Try parsing as Python literal (similar to Python's ast.literal_eval)
if value_str == "true" || value_str == "True" {
Value::Bool(true)
} else if value_str == "false" || value_str == "False" {
Value::Bool(false)
} else if value_str == "null" || value_str == "None" {
Value::Null
} else if let Ok(num) = value_str.parse::<i64>() {
Value::Number(num.into())
} else if let Ok(num) = value_str.parse::<f64>() {
if let Some(n) = serde_json::Number::from_f64(num) {
Value::Number(n)
} else {
Value::String(value_str.to_string())
}
} else {
Value::String(value_str.to_string())
}
};
arguments.insert(key.to_string(), value);
}
arguments
}
/// Parse a single tool call block
fn parse_tool_call(&self, block: &str) -> ParserResult<Option<ToolCall>> {
if let Some(captures) = self.func_detail_extractor.captures(block) {
// Get function name
let func_name = captures.get(1).map_or("", |m| m.as_str()).trim();
// Get arguments text
let args_text = captures.get(2).map_or("", |m| m.as_str());
// Parse arguments
let arguments = self.parse_arguments(args_text);
let arguments_str = serde_json::to_string(&arguments)
.map_err(|e| ParserError::ParsingFailed(e.to_string()))?;
Ok(Some(ToolCall {
function: FunctionCall {
name: func_name.to_string(),
arguments: arguments_str,
},
}))
} else {
Ok(None)
}
}
/// Parse all tool calls from text (shared logic for complete and incremental parsing)
fn parse_tool_calls_from_text(&self, text: &str) -> Vec<ToolCall> {
let mut tools = Vec::new();
for mat in self.tool_call_extractor.find_iter(text) {
match self.parse_tool_call(mat.as_str()) {
Ok(Some(tool)) => tools.push(tool),
Ok(None) => continue,
Err(e) => {
tracing::debug!("Failed to parse tool call: {}", e);
continue;
}
}
}
tools
}
}
impl Default for Glm4MoeParser {
fn default() -> Self {
Self::glm45()
}
}
#[async_trait]
impl ToolParser for Glm4MoeParser {
async fn parse_complete(&self, text: &str) -> ParserResult<(String, Vec<ToolCall>)> {
// Check if text contains GLM-4 MoE format
if !self.has_tool_markers(text) {
return Ok((text.to_string(), vec![]));
}
// Find where tool calls begin
// Safe: has_tool_markers() already confirmed the marker exists
let idx = text
.find("<tool_call>")
.ok_or_else(|| ParserError::ParsingFailed("tool call marker not found".to_string()))?;
let normal_text = text[..idx].to_string();
// Parse all tool calls using shared helper
let tools = self.parse_tool_calls_from_text(text);
// If no tools were successfully parsed despite having markers, return entire text as fallback
if tools.is_empty() {
return Ok((text.to_string(), vec![]));
}
Ok((normal_text, tools))
}
async fn parse_incremental(
&mut self,
chunk: &str,
tools: &[Tool],
) -> ParserResult<StreamingParseResult> {
// Python logic: Wait for complete tool call, then parse it all at once
self.buffer.push_str(chunk);
let current_text = &self.buffer.clone();
// Check if we have bot_token
let start = current_text.find(self.bot_token);
if start.is_none() {
self.buffer.clear();
// If we're in the middle of streaming (current_tool_id > 0), don't return text
let normal_text = if self.current_tool_id > 0 {
String::new()
} else {
current_text.clone()
};
return Ok(StreamingParseResult {
normal_text,
calls: vec![],
});
}
// Check if we have eot_token (end of tool call)
let end = current_text.find(self.eot_token);
if let Some(end_pos) = end {
// We have a complete tool call!
// Initialize state if this is the first tool call
if self.current_tool_id == -1 {
self.current_tool_id = 0;
self.prev_tool_call_arr = Vec::new();
self.streamed_args_for_tool = vec![String::new()];
}
// Ensure we have enough entries in our tracking arrays
helpers::ensure_capacity(
self.current_tool_id,
&mut self.prev_tool_call_arr,
&mut self.streamed_args_for_tool,
);
// Parse the complete block using shared helper
let block_end = end_pos + self.eot_token.len();
let parsed_tools = self.parse_tool_calls_from_text(¤t_text[..block_end]);
// Extract normal text before tool calls
let idx = current_text.find(self.bot_token);
let normal_text = if let Some(pos) = idx {
current_text[..pos].trim().to_string()
} else {
String::new()
};
// Build tool indices for validation
let tool_indices = helpers::get_tool_indices(tools);
let mut calls = Vec::new();
if !parsed_tools.is_empty() {
// Take the first tool and convert to ToolCallItem
let tool_call = &parsed_tools[0];
let tool_id = self.current_tool_id as usize;
// Validate tool name
if !tool_indices.contains_key(&tool_call.function.name) {
// Invalid tool name - skip this tool, preserve indexing for next tool
tracing::debug!("Invalid tool name '{}' - skipping", tool_call.function.name);
helpers::reset_current_tool_state(
&mut self.buffer,
&mut false, // glm45_moe/glm47_moe doesn't track name_sent per tool
&mut self.streamed_args_for_tool,
&self.prev_tool_call_arr,
);
return Ok(StreamingParseResult::default());
}
calls.push(ToolCallItem {
tool_index: tool_id,
name: Some(tool_call.function.name.clone()),
parameters: tool_call.function.arguments.clone(),
});
// Store in tracking arrays
if self.prev_tool_call_arr.len() <= tool_id {
self.prev_tool_call_arr
.resize_with(tool_id + 1, || Value::Null);
}
// Parse parameters as JSON and store
if let Ok(args) = serde_json::from_str::<Value>(&tool_call.function.arguments) {
self.prev_tool_call_arr[tool_id] = serde_json::json!({
"name": tool_call.function.name,
"arguments": args,
});
}
if self.streamed_args_for_tool.len() <= tool_id {
self.streamed_args_for_tool
.resize_with(tool_id + 1, String::new);
}
self.streamed_args_for_tool[tool_id].clone_from(&tool_call.function.arguments);
self.current_tool_id += 1;
}
// Remove processed portion from buffer
self.buffer = current_text[block_end..].to_string();
return Ok(StreamingParseResult { normal_text, calls });
}
// No complete tool call yet - return normal text before start token
// Safe: start.is_none() case was handled above (early return)
let Some(start_pos) = start else {
return Ok(StreamingParseResult::default());
};
let normal_text = current_text[..start_pos].to_string();
self.buffer = current_text[start_pos..].to_string();
Ok(StreamingParseResult {
normal_text,
calls: vec![],
})
}
fn has_tool_markers(&self, text: &str) -> bool {
text.contains(self.bot_token)
}
fn get_unstreamed_tool_args(&self) -> Option<Vec<ToolCallItem>> {
helpers::get_unstreamed_args(&self.prev_tool_call_arr, &self.streamed_args_for_tool)
}
fn reset(&mut self) {
self.buffer.clear();
self.prev_tool_call_arr.clear();
self.current_tool_id = -1;
self.streamed_args_for_tool.clear();
}
}