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MoltHub Agent: Mini SWE Agent

actions_toolcall_response.py(4.13 KB)Python
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"""Parse actions & format observations for OpenAI Responses API 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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# OpenRouter/OpenAI Responses API uses a flat structure (no nested "function" key)
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BASH_TOOL_RESPONSE_API = {
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    "type": "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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def _format_error_message(error_text: str) -> dict:
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    """Create a FormatError message in Responses API format."""
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    return {
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        "type": "message",
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        "role": "user",
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        "content": [{"type": "input_text", "text": error_text}],
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        "extra": {"interrupt_type": "FormatError"},
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    }
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def parse_toolcall_actions_response(output: list, *, format_error_template: str) -> list[dict]:
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    """Parse tool calls from a Responses API response output.
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    Filters for function_call items and parses them.
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    Response API format has name/arguments at top level with call_id:
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    {"type": "function_call", "call_id": "...", "name": "bash", "arguments": "..."}
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    """
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    tool_calls = []
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    for item in output:
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        item_type = item.get("type") if isinstance(item, dict) else getattr(item, "type", None)
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        if item_type == "function_call":
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            tool_calls.append(
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                item.model_dump() if hasattr(item, "model_dump") else dict(item) if not isinstance(item, dict) else item
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            )
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    if not tool_calls:
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        error_text = 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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        raise FormatError(_format_error_message(error_text))
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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.get("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.get("name") != "bash":
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            error_msg += f"Unknown tool '{tool_call.get('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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            error_text = Template(format_error_template, undefined=StrictUndefined).render(error=error_msg.strip())
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            raise FormatError(_format_error_message(error_text))
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        actions.append({"command": args["command"], "tool_call_id": tool_call.get("call_id") or tool_call.get("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 function_call_output messages for Responses API."""
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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: dict = {
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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["type"] = "function_call_output"
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            msg["call_id"] = action["tool_call_id"]
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            msg["output"] = content
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        else:  # human issued commands
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            msg["type"] = "message"
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            msg["role"] = "user"
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            msg["content"] = [{"type": "input_text", "text": content}]
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        results.append(msg)
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    return results
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