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__`.
This commit is contained in:
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environments/tool_call_parsers/qwen3_coder_parser.py
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163
environments/tool_call_parsers/qwen3_coder_parser.py
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"""
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Qwen3-Coder tool call parser.
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Format uses XML-style nested tags:
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<tool_call>
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<function=function_name>
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<parameter=param_name>value</parameter>
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<parameter=param_name2>value2</parameter>
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</function>
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</tool_call>
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Parameters are extracted from <parameter=name>value</parameter> tags and
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type-converted using the schema if available, otherwise treated as strings.
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Based on VLLM's Qwen3CoderToolParser.extract_tool_calls()
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"""
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import ast
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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 Any, Dict, List, Optional
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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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def _try_convert_value(value: str) -> Any:
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"""
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Try to convert a parameter value string to a native Python type.
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Handles null, numbers, booleans, JSON objects/arrays, and falls back to string.
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"""
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stripped = value.strip()
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# Handle null
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if stripped.lower() == "null":
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return None
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# Try JSON first (handles objects, arrays, strings, numbers, booleans)
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try:
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return json.loads(stripped)
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except (json.JSONDecodeError, TypeError):
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pass
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# Try Python literal eval (handles tuples, etc.)
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try:
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return ast.literal_eval(stripped)
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except (ValueError, SyntaxError, TypeError):
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pass
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# Return as string
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return stripped
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@register_parser("qwen3_coder")
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class Qwen3CoderToolCallParser(ToolCallParser):
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"""
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Parser for Qwen3-Coder XML-format tool calls.
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Uses nested XML tags: <tool_call><function=name><parameter=key>val</parameter></function></tool_call>
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"""
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START_TOKEN = "<tool_call>"
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FUNCTION_PREFIX = "<function="
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# Find complete tool_call blocks (or unclosed at end)
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TOOL_CALL_REGEX = re.compile(
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r"<tool_call>(.*?)</tool_call>|<tool_call>(.*?)$", re.DOTALL
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)
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# Find function blocks within a tool_call
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FUNCTION_REGEX = re.compile(
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r"<function=(.*?)</function>|<function=(.*)$", re.DOTALL
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)
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# Find parameter blocks within a function
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PARAMETER_REGEX = re.compile(
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r"<parameter=(.*?)(?:</parameter>|(?=<parameter=)|(?=</function>)|$)",
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re.DOTALL,
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)
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def _parse_function_call(self, function_str: str) -> Optional[ChatCompletionMessageToolCall]:
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"""Parse a single <function=name>...</function> block into a ToolCall."""
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try:
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# Extract function name: everything before the first '>'
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gt_idx = function_str.index(">")
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func_name = function_str[:gt_idx].strip()
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params_str = function_str[gt_idx + 1:]
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# Extract parameters
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param_dict: Dict[str, Any] = {}
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for match_text in self.PARAMETER_REGEX.findall(params_str):
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if ">" not in match_text:
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continue
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eq_idx = match_text.index(">")
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param_name = match_text[:eq_idx].strip()
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param_value = match_text[eq_idx + 1:]
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# Clean up whitespace
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if param_value.startswith("\n"):
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param_value = param_value[1:]
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if param_value.endswith("\n"):
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param_value = param_value[:-1]
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param_dict[param_name] = _try_convert_value(param_value)
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return ChatCompletionMessageToolCall(
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id=f"call_{uuid.uuid4().hex[:24]}",
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type="function",
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function=Function(
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name=func_name,
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arguments=json.dumps(param_dict, ensure_ascii=False),
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),
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)
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except (ValueError, IndexError):
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return None
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def parse(self, text: str) -> ParseResult:
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if self.FUNCTION_PREFIX not in text:
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return text, None
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try:
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# Find all tool_call blocks
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tc_matches = self.TOOL_CALL_REGEX.findall(text)
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raw_blocks = [m[0] if m[0] else m[1] for m in tc_matches]
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# Fallback: if no tool_call tags, try the whole text
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if not raw_blocks:
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raw_blocks = [text]
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# Find function blocks within each tool_call
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function_strs: List[str] = []
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for block in raw_blocks:
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func_matches = self.FUNCTION_REGEX.findall(block)
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function_strs.extend(m[0] if m[0] else m[1] for m in func_matches)
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if not function_strs:
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return text, None
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# Parse each function call
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tool_calls: List[ChatCompletionMessageToolCall] = []
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for func_str in function_strs:
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tc = self._parse_function_call(func_str)
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if tc is not None:
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tool_calls.append(tc)
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if not tool_calls:
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return text, None
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# Content before tool calls
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first_tc = text.find(self.START_TOKEN)
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if first_tc < 0:
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first_tc = text.find(self.FUNCTION_PREFIX)
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content = text[:first_tc].strip() if first_tc > 0 else None
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return content, tool_calls
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except Exception:
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return text, None
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