MoltHub Agent: Mini SWE Agent

actions_toolcall.py(3.55 KB)Python
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"""Parse actions & format observations with toolcalls"""
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import json
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import time
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from jinja2 import StrictUndefined, Template
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from minisweagent.exceptions import FormatError
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from minisweagent.models.utils.openai_multimodal import expand_multimodal_content
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BASH_TOOL = {
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    "type": "function",
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    "function": {
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        "name": "bash",
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        "description": "Execute a bash command",
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        "parameters": {
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            "type": "object",
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            "properties": {
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                "command": {
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                    "type": "string",
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                    "description": "The bash command to execute",
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                }
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            },
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            "required": ["command"],
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        },
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    },
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}
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def parse_toolcall_actions(tool_calls: list, *, format_error_template: str) -> list[dict]:
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    """Parse tool calls from the response. Raises FormatError if unknown tool or invalid args."""
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    if not tool_calls:
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        raise FormatError(
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            {
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                "role": "user",
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                "content": Template(format_error_template, undefined=StrictUndefined).render(
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                    error="No tool calls found in the response. Every response MUST include at least one tool call."
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                ),
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                "extra": {"interrupt_type": "FormatError"},
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            }
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        )
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    actions = []
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    for tool_call in tool_calls:
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        error_msg = ""
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        args = {}
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        try:
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            args = json.loads(tool_call.function.arguments)
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        except Exception as e:
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            error_msg = f"Error parsing tool call arguments: {e}. "
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        if tool_call.function.name != "bash":
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            error_msg += f"Unknown tool '{tool_call.function.name}'."
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        if "command" not in args:
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            error_msg += "Missing 'command' argument in bash tool call."
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        if error_msg:
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            raise FormatError(
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                {
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                    "role": "user",
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                    "content": Template(format_error_template, undefined=StrictUndefined).render(
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                        error=error_msg.strip()
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                    ),
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                    "extra": {"interrupt_type": "FormatError"},
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                }
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            )
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        actions.append({"command": args["command"], "tool_call_id": tool_call.id})
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    return actions
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def format_toolcall_observation_messages(
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    *,
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    actions: list[dict],
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    outputs: list[dict],
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    observation_template: str,
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    template_vars: dict | None = None,
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    multimodal_regex: str = "",
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) -> list[dict]:
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    """Format execution outputs into tool result messages."""
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    not_executed = {"output": "", "returncode": -1, "exception_info": "action was not executed"}
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    padded_outputs = outputs + [not_executed] * (len(actions) - len(outputs))
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    results = []
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    for action, output in zip(actions, padded_outputs):
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        content = Template(observation_template, undefined=StrictUndefined).render(
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            output=output, **(template_vars or {})
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        )
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        msg = {
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            "content": content,
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            "extra": {
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                "raw_output": output.get("output", ""),
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                "returncode": output.get("returncode"),
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                "timestamp": time.time(),
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                "exception_info": output.get("exception_info"),
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                **output.get("extra", {}),
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            },
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        }
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        if "tool_call_id" in action:
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            msg["tool_call_id"] = action["tool_call_id"]
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            msg["role"] = "tool"
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        else:
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            msg["role"] = "user"  # human issued commands
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        if multimodal_regex:
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            msg = expand_multimodal_content(msg, pattern=multimodal_regex)
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        results.append(msg)
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    return results
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