Files
hermes-agent/environments/tool_call_parsers/glm45_parser.py
teknium 07b615e96e Add support for Atropos Agentic RL environments (requires branch tool_call_support in Atropos atm)
- Added new environments for reinforcement learning, including `HermesSweEnv` for software engineering tasks and `TerminalTestEnv` for inline testing.
- Introduced `ToolContext` for unrestricted access to tools during reward computation.
- Updated `.gitignore` to exclude `wandb/` directory.
- Enhanced `README.md` with detailed architecture and usage instructions for Atropos environments.
- Added configuration files for SWE and terminal test environments to streamline setup.
- Removed unnecessary compiled Python files from `__pycache__`.
2026-02-07 09:17:16 +00:00

110 lines
3.3 KiB
Python

"""
GLM 4.5 (GLM-4-MoE) tool call parser.
Format uses custom arg_key/arg_value tags rather than standard JSON:
<tool_call>function_name
<arg_key>param1</arg_key><arg_value>value1</arg_value>
<arg_key>param2</arg_key><arg_value>value2</arg_value>
</tool_call>
Values are deserialized using json.loads -> ast.literal_eval -> raw string fallback.
Based on VLLM's Glm4MoeModelToolParser.extract_tool_calls()
"""
import ast
import json
import re
import uuid
from typing import Any, Dict, List, Optional
from openai.types.chat.chat_completion_message_tool_call import (
ChatCompletionMessageToolCall,
Function,
)
from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
def _deserialize_value(value: str) -> Any:
"""
Try to deserialize a string value to its native Python type.
Attempts json.loads, then ast.literal_eval, then returns raw string.
"""
try:
return json.loads(value)
except (json.JSONDecodeError, TypeError):
pass
try:
return ast.literal_eval(value)
except (ValueError, SyntaxError, TypeError):
pass
return value
@register_parser("glm45")
class Glm45ToolCallParser(ToolCallParser):
"""
Parser for GLM 4.5 (GLM-4-MoE) tool calls.
Uses <tool_call>...</tool_call> tags with <arg_key>/<arg_value> pairs
instead of standard JSON arguments.
"""
FUNC_CALL_REGEX = re.compile(r"<tool_call>.*?</tool_call>", re.DOTALL)
FUNC_DETAIL_REGEX = re.compile(r"<tool_call>([^\n]*)\n(.*)</tool_call>", re.DOTALL)
FUNC_ARG_REGEX = re.compile(
r"<arg_key>(.*?)</arg_key>\s*<arg_value>(.*?)</arg_value>", re.DOTALL
)
START_TOKEN = "<tool_call>"
def parse(self, text: str) -> ParseResult:
if self.START_TOKEN not in text:
return text, None
try:
matched_calls = self.FUNC_CALL_REGEX.findall(text)
if not matched_calls:
return text, None
tool_calls: List[ChatCompletionMessageToolCall] = []
for match in matched_calls:
detail = self.FUNC_DETAIL_REGEX.search(match)
if not detail:
continue
func_name = detail.group(1).strip()
func_args_raw = detail.group(2)
# Parse arg_key/arg_value pairs
pairs = self.FUNC_ARG_REGEX.findall(func_args_raw) if func_args_raw else []
arg_dict: Dict[str, Any] = {}
for key, value in pairs:
arg_key = key.strip()
arg_val = _deserialize_value(value.strip())
arg_dict[arg_key] = arg_val
tool_calls.append(
ChatCompletionMessageToolCall(
id=f"call_{uuid.uuid4().hex[:8]}",
type="function",
function=Function(
name=func_name,
arguments=json.dumps(arg_dict, ensure_ascii=False),
),
)
)
if not tool_calls:
return text, None
content = text[: text.find(self.START_TOKEN)].strip()
return content if content else None, tool_calls
except Exception:
return text, None