mirror of
https://github.com/NousResearch/hermes-agent.git
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ae6435f787
- Preserve full trajectory while truncating prompt view per turn (avoids context overflow) - Add max_context_tokens support and wire from env config - Normalize tool call arguments robustly (dict / stringified JSON / plain string) - Avoid double-encoding tool arguments in Hermes parser - Add tool-call metrics to AgentResult for debugging/optional shaping Scope: environments/* only
80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
"""
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Hermes tool call parser.
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Format: <tool_call>{"name": "func", "arguments": {...}}</tool_call>
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Based on VLLM's Hermes2ProToolParser.extract_tool_calls()
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"""
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import json
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import re
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import uuid
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from typing import List, Optional, Tuple
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from openai.types.chat.chat_completion_message_tool_call import (
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ChatCompletionMessageToolCall,
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Function,
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)
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from environments.tool_call_parsers import ParseResult, ToolCallParser, register_parser
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@register_parser("hermes")
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class HermesToolCallParser(ToolCallParser):
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"""
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Parser for Hermes-format tool calls.
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Matches <tool_call>...</tool_call> tags containing JSON with "name" and "arguments".
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Also handles unclosed <tool_call> at end-of-string (truncated generation).
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"""
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# Matches both closed and unclosed tool_call tags
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PATTERN = re.compile(
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r"<tool_call>\s*(.*?)\s*</tool_call>|<tool_call>\s*(.*)", re.DOTALL
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)
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def parse(self, text: str) -> ParseResult:
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if "<tool_call>" not in text:
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return text, None
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try:
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matches = self.PATTERN.findall(text)
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if not matches:
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return text, None
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tool_calls: List[ChatCompletionMessageToolCall] = []
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for match in matches:
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# match is a tuple: (closed_content, unclosed_content)
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raw_json = match[0] if match[0] else match[1]
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if not raw_json.strip():
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continue
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tc_data = json.loads(raw_json)
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# Handle arguments: could be dict or already a JSON string
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raw_args = tc_data.get("arguments", {})
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if isinstance(raw_args, str):
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# Already a string — pass through as-is.
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# It may be a JSON string ("{...}") or a plain string ("ls").
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args_str = raw_args
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else:
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# Dict — serialize to JSON
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args_str = json.dumps(raw_args, ensure_ascii=False)
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tool_calls.append(
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ChatCompletionMessageToolCall(
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id=f"call_{uuid.uuid4().hex[:8]}",
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type="function",
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function=Function(
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name=tc_data["name"],
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arguments=args_str,
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),
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)
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)
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if not tool_calls:
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return text, None
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# Content is everything before the first <tool_call> tag
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content = text[: text.find("<tool_call>")].strip()
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return content if content else None, tool_calls
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except Exception:
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return text, None
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