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__`.
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environments/tool_call_parsers/mistral_parser.py
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environments/tool_call_parsers/mistral_parser.py
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"""
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Mistral tool call parser.
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Supports two formats depending on tokenizer version:
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- Pre-v11: content[TOOL_CALLS] [{"name": ..., "arguments": {...}}, ...]
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- v11+: content[TOOL_CALLS]tool_name1{"arg": "val"}[TOOL_CALLS]tool_name2{"arg": "val"}
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Based on VLLM's MistralToolParser.extract_tool_calls()
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The [TOOL_CALLS] token is the bot_token used by Mistral models.
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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
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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 _generate_mistral_id() -> str:
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"""Mistral tool call IDs are 9-char alphanumeric strings."""
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import random
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import string
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return "".join(random.choices(string.ascii_letters + string.digits, k=9))
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@register_parser("mistral")
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class MistralToolCallParser(ToolCallParser):
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"""
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Parser for Mistral-format tool calls.
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Detects format by checking if the content after [TOOL_CALLS] starts with '['
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(pre-v11 JSON array) or with a tool name (v11+ format).
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"""
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# The [TOOL_CALLS] token -- may appear as different strings depending on tokenizer
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BOT_TOKEN = "[TOOL_CALLS]"
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# Fallback regex for pre-v11 format when JSON parsing fails
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TOOL_CALL_REGEX = re.compile(r"\[?\s*(\{.*?\})\s*\]?", re.DOTALL)
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def parse(self, text: str) -> ParseResult:
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if self.BOT_TOKEN not in text:
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return text, None
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try:
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parts = text.split(self.BOT_TOKEN)
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content = parts[0].strip()
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raw_tool_calls = parts[1:]
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# Detect format: if the first raw part starts with '[', it's pre-v11
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first_raw = raw_tool_calls[0].strip() if raw_tool_calls else ""
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is_pre_v11 = first_raw.startswith("[") or first_raw.startswith("{")
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tool_calls: List[ChatCompletionMessageToolCall] = []
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if not is_pre_v11:
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# v11+ format: [TOOL_CALLS]tool_name{args}[TOOL_CALLS]tool_name2{args2}
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for raw in raw_tool_calls:
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raw = raw.strip()
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if not raw or "{" not in raw:
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continue
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brace_idx = raw.find("{")
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tool_name = raw[:brace_idx].strip()
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args_str = raw[brace_idx:]
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tool_calls.append(
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ChatCompletionMessageToolCall(
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id=_generate_mistral_id(),
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type="function",
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function=Function(name=tool_name, arguments=args_str),
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)
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)
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else:
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# Pre-v11 format: [TOOL_CALLS] [{"name": ..., "arguments": {...}}]
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try:
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parsed = json.loads(first_raw)
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if isinstance(parsed, dict):
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parsed = [parsed]
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for tc in parsed:
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args = tc.get("arguments", {})
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if isinstance(args, dict):
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args = json.dumps(args, ensure_ascii=False)
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tool_calls.append(
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ChatCompletionMessageToolCall(
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id=_generate_mistral_id(),
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type="function",
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function=Function(
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name=tc["name"], arguments=args
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),
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)
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)
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except json.JSONDecodeError:
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# Fallback regex extraction
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match = self.TOOL_CALL_REGEX.findall(first_raw)
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if match:
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for raw_json in match:
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try:
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tc = json.loads(raw_json)
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args = tc.get("arguments", {})
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if isinstance(args, dict):
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args = json.dumps(args, ensure_ascii=False)
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tool_calls.append(
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ChatCompletionMessageToolCall(
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id=_generate_mistral_id(),
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type="function",
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function=Function(
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name=tc["name"], arguments=args
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),
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)
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)
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except (json.JSONDecodeError, KeyError):
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continue
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if not tool_calls:
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return text, None
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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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