File size: 6,691 Bytes
c52954a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 | import json
import json5
import re
import html
import logging
from typing import List, Dict, Any, Optional, Tuple
logger = logging.getLogger(__name__)
# ============================================================
# Text Processing
# ============================================================
def extract_thinking(text: str) -> Tuple[Optional[str], str]:
reasoning_content = None
content = text
if '<think>' in content and '</think>' in content:
match = re.search(r'<think>(.*?)</think>', content, re.DOTALL)
if match:
reasoning_content = match.group(1).strip()
content = content.replace(match.group(0), "").strip()
elif '</think>' in content:
match = re.search(r'^(.*?)</think>', content, re.DOTALL)
if match:
reasoning_content = match.group(1).strip()
content = content.replace(match.group(0), "").strip()
return reasoning_content, content
def parse_tool_call(text: str) -> Tuple[Optional[Dict], str]:
tool_call_text = None
content = text
if '<tool_call>' in content and '</tool_call>' in content:
match = re.search(r'<tool_call>(.*?)</tool_call>', content, re.DOTALL)
if match:
tool_call_text = match.group(1).strip()
content = content.replace(match.group(0), "").strip()
elif '</tool_call>' in content:
match = re.search(r'^(.*?)</tool_call>', content, re.DOTALL)
if match:
tool_call_text = match.group(1).strip()
content = content.replace(match.group(0), "").strip()
if tool_call_text:
try:
if "```json" in tool_call_text:
tool_call_text = tool_call_text.split("```json")[1].split("```")[0].strip()
elif "```" in tool_call_text:
tool_call_text = tool_call_text.split("```")[1].split("```")[0].strip()
parsed = json5.loads(tool_call_text)
return parsed, content
except:
pass
func_match = re.search(r'<function=([\w.]+)>', tool_call_text)
if func_match:
tool_name = func_match.group(1)
tool_args = {}
params = re.finditer(r'<parameter=([\w]+)>\s*(.*?)\s*</parameter>', tool_call_text, re.DOTALL)
for p in params:
param_name = p.group(1)
param_value = p.group(2).strip()
if param_value.startswith('"') and param_value.endswith('"'):
param_value = param_value[1:-1]
try:
if param_value.isdigit():
param_value = int(param_value)
except:
pass
tool_args[param_name] = param_value
return {"name": tool_name, "arguments": tool_args}, content
return None, content
def is_final_answer(text: str) -> bool:
t = text.lower()
return (
('<answer>' in t and '</answer>' in t) or
'final answer:' in t or
('exact answer:' in t and 'confidence:' in t)
)
def strip_goal_met_tag(text: str) -> str:
return re.sub(r'<goal_met>\s*(?:true|false)\s*</goal_met>', '', text, flags=re.IGNORECASE).strip()
def extract_goal_met(text: str) -> Optional[bool]:
match = re.search(r'<goal_met>\s*(true|false)\s*</goal_met>', text, re.IGNORECASE)
if match:
return match.group(1).lower() == "true"
return None
# ============================================================
# HTML Rendering Helpers
# ============================================================
def render_user_message(question: str) -> str:
escaped = html.escape(question)
return f'''<div class="user-message-bubble">
<div class="user-message-content">{escaped}</div>
</div>'''
def render_round_badge(round_num: int, max_rounds: int) -> str:
return f'<div class="round-badge">Round {round_num}/{max_rounds}</div>'
def render_thinking_collapsed(text: str) -> str:
escaped = html.escape(text)
preview = text[:100] + "..." if len(text) > 100 else text
preview_escaped = html.escape(preview)
return f'''<details class="thinking-collapsed">
<summary>Thought process: "{preview_escaped}"</summary>
<div class="thinking-content">{escaped}</div>
</details>'''
def render_tool_call(fn_name: str, args: dict, browser = None) -> str:
border_colors = {
"browser.search": "#667eea",
"browser.open": "#4facfe",
"browser.find": "#fa709a",
"browser.navigate": "#667eea",
"browser.snapshot": "#4facfe",
"browser.click": "#fa709a",
"browser.type": "#86efac",
"browser.press": "#facc15"
}
border_color = border_colors.get(fn_name, "#9ca3af")
return f'''<div class="tool-call-card" style="border-left: 3px solid {border_color};">
<div class="tool-info">
<div class="tool-name">{html.escape(str(fn_name))}</div>
<div class="tool-detail">{html.escape(json.dumps(args))}</div>
</div>
</div>'''
def render_tool_result(result: str, fn_name: str) -> str:
border_color = "#9ca3af"
formatted_result = html.escape(result)
formatted_result = formatted_result.replace('\n', '<br>')
return f'''<div class="result-card-expanded" style="border-left: 3px solid {border_color};">
<div class="result-header-expanded">Result: {html.escape(fn_name)}</div>
<div class="result-content-expanded" style="font-family: monospace; white-space: pre-wrap;">{formatted_result}</div>
</div>'''
def render_completion() -> str:
return '<div class="completion-msg">Task Complete</div>'
# ============================================================
# Token Management
# ============================================================
def estimate_tokens(messages: List[Dict[str, Any]]) -> int:
total_chars = 0
for m in messages:
total_chars += len(str(m.get("content") or ""))
if m.get("tool_calls"):
total_chars += len(json.dumps(m["tool_calls"]))
return total_chars // 4
def compress_messages(messages: List[Dict[str, Any]], keep_last_rounds: int = 3) -> List[Dict[str, Any]]:
if len(messages) < 2:
return messages
head = messages[:2]
rest = messages[2:]
tail_count = keep_last_rounds * 2
if len(rest) <= tail_count:
return messages
body, tail = rest[:-tail_count], rest[-tail_count:]
compressed_body = []
for m in body:
content = m.get("content") or ""
if len(content) > 400:
omitted = len(content) - 400
content = content[:400] + f"\n...[{omitted} chars truncated to save context]"
m = {**m, "content": content}
compressed_body.append(m)
return head + compressed_body + tail
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