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0157ac7 ebba9d6 574e4e7 ebba9d6 0157ac7 | 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 | """Request detection utilities for API optimizations.
Detects quota checks, title generation, prefix detection, suggestion mode,
and filepath extraction requests to enable fast-path responses.
"""
from core.anthropic import extract_text_from_content
from .models.anthropic import MessagesRequest
def is_trivial_text_request(request_data: MessagesRequest) -> tuple[bool, str]:
"""Detect trivial requests that can be fast-pathed.
Returns (is_trivial, text_content) for trivial requests that only need
a simple acknowledgment or echo response.
"""
# Only for single short user messages with max_tokens=1
if request_data.max_tokens != 1:
return False, ""
if len(request_data.messages) != 1:
return False, ""
msg = request_data.messages[0]
if msg.role != "user":
return False, ""
text = extract_text_from_content(msg.content)
text_lower = text.lower().strip()
# Single word or very short queries
if len(text_lower) < 50:
# "hi", "hello", "ok", "thanks", etc.
if text_lower in (
"hi",
"hello",
"ok",
"thanks",
"thank you",
"yes",
"no",
"okay",
):
return True, f"OK. {text}"
# Health/status checks
if any(kw in text_lower for kw in ["status", "health", "ping", "are you"]):
return True, "I'm ready."
return False, ""
def is_quota_check_request(request_data: MessagesRequest) -> bool:
"""Check if this is a quota probe request.
Quota checks are typically simple requests with max_tokens=1
and a single message containing the word "quota".
"""
if (
request_data.max_tokens == 1
and len(request_data.messages) == 1
and request_data.messages[0].role == "user"
):
text = extract_text_from_content(request_data.messages[0].content)
if "quota" in text.lower():
return True
return False
def is_title_generation_request(request_data: MessagesRequest) -> bool:
"""Check if this is a conversation title generation request.
Title generation requests are detected by a system prompt containing
title extraction instructions, no tools, and a single user message.
Matches Claude Code session title prompts (sentence-case title, JSON
\"title\" field, etc.).
"""
if not request_data.system or request_data.tools:
return False
system_text = extract_text_from_content(request_data.system).lower()
if "title" not in system_text:
return False
return "sentence-case title" in system_text or (
"return json" in system_text
and "field" in system_text
and ("coding session" in system_text or "this session" in system_text)
)
def is_prefix_detection_request(request_data: MessagesRequest) -> tuple[bool, str]:
"""Check if this is a fast prefix detection request.
Prefix detection requests contain a policy_spec block and
a Command: section for extracting shell command prefixes.
Returns:
Tuple of (is_prefix_request, command_string)
"""
if len(request_data.messages) != 1 or request_data.messages[0].role != "user":
return False, ""
content = extract_text_from_content(request_data.messages[0].content)
if "<policy_spec>" in content and "Command:" in content:
try:
cmd_start = content.rfind("Command:") + len("Command:")
return True, content[cmd_start:].strip()
except TypeError:
return False, ""
return False, ""
def is_suggestion_mode_request(request_data: MessagesRequest) -> bool:
"""Check if this is a suggestion mode request.
Suggestion mode requests contain "[SUGGESTION MODE:" in the user's message,
used for auto-suggesting what the user might type next.
"""
for msg in request_data.messages:
if msg.role == "user":
text = extract_text_from_content(msg.content)
if "[SUGGESTION MODE:" in text:
return True
return False
def is_filepath_extraction_request(
request_data: MessagesRequest,
) -> tuple[bool, str, str]:
"""Check if this is a filepath extraction request.
Filepath extraction requests have a single user message with
"Command:" and "Output:" sections, asking to extract file paths
from command output.
Returns:
Tuple of (is_filepath_request, command, output)
"""
if len(request_data.messages) != 1 or request_data.messages[0].role != "user":
return False, "", ""
if request_data.tools:
return False, "", ""
content = extract_text_from_content(request_data.messages[0].content)
if "Command:" not in content or "Output:" not in content:
return False, "", ""
# Match if user content OR system block indicates filepath extraction
user_has_filepaths = (
"filepaths" in content.lower() or "<filepaths>" in content.lower()
)
system_text = (
extract_text_from_content(request_data.system) if request_data.system else ""
)
system_has_extract = (
"extract any file paths" in system_text.lower()
or "file paths that this command" in system_text.lower()
)
if not user_has_filepaths and not system_has_extract:
return False, "", ""
cmd_start = content.find("Command:") + len("Command:")
output_marker = content.find("Output:", cmd_start)
if output_marker == -1:
return False, "", ""
command = content[cmd_start:output_marker].strip()
output = content[output_marker + len("Output:") :].strip()
for marker in ["<", "\n\n"]:
if marker in output:
output = output.split(marker)[0].strip()
return True, command, output
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