Merge pull request #29724 from bbednarski9/bbednarski/nmf-41B-nemoflow-plugin
feat(middleware): add adaptive middleware to hermes-agent, consumed by NeMo-Relay
This commit is contained in:
commit
d4a7bfd3aa
14 changed files with 2170 additions and 151 deletions
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@ -1620,13 +1620,37 @@ def switch_model(agent, new_model, new_provider, api_key='', base_url='', api_mo
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def invoke_tool(agent, function_name: str, function_args: dict, effective_task_id: str,
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tool_call_id: Optional[str] = None, messages: list = None,
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pre_tool_block_checked: bool = False) -> str:
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pre_tool_block_checked: bool = False,
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skip_tool_request_middleware: bool = False,
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tool_request_middleware_trace: Optional[List[Dict[str, Any]]] = None) -> str:
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"""Invoke a single tool and return the result string. No display logic.
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Handles both agent-level tools (todo, memory, etc.) and registry-dispatched
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tools. Used by the concurrent execution path; the sequential path retains
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its own inline invocation for backward-compatible display handling.
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"""
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if not isinstance(function_args, dict):
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function_args = {}
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_tool_middleware_trace = list(tool_request_middleware_trace or [])
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try:
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from hermes_cli.middleware import apply_tool_request_middleware
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if not skip_tool_request_middleware:
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_tool_request_mw = apply_tool_request_middleware(
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function_name,
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function_args,
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task_id=effective_task_id or "",
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session_id=getattr(agent, "session_id", "") or "",
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tool_call_id=tool_call_id or "",
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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)
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function_args = _tool_request_mw.payload
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_tool_middleware_trace = _tool_request_mw.trace
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except Exception as _mw_err:
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logger.debug("tool_request middleware error: %s", _mw_err)
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# Check plugin hooks for a block directive before executing anything.
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block_message: Optional[str] = None
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if not pre_tool_block_checked:
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@ -1640,6 +1664,7 @@ def invoke_tool(agent, function_name: str, function_args: dict, effective_task_i
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tool_call_id=tool_call_id or "",
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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middleware_trace=list(_tool_middleware_trace),
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)
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except Exception:
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pass
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@ -1659,6 +1684,7 @@ def invoke_tool(agent, function_name: str, function_args: dict, effective_task_i
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status="blocked",
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error_type="plugin_block",
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error_message=block_message,
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middleware_trace=list(_tool_middleware_trace),
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)
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except Exception:
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pass
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@ -1666,12 +1692,13 @@ def invoke_tool(agent, function_name: str, function_args: dict, effective_task_i
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tool_start_time = time.monotonic()
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def _finish_agent_tool(result: Any) -> Any:
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def _finish_agent_tool(result: Any, observed_args: Optional[dict] = None) -> Any:
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hook_args = observed_args if isinstance(observed_args, dict) else function_args
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try:
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from model_tools import _emit_post_tool_call_hook
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_emit_post_tool_call_hook(
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function_name=function_name,
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function_args=function_args,
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function_args=hook_args,
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result=result,
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task_id=effective_task_id or "",
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session_id=getattr(agent, "session_id", "") or "",
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@ -1679,89 +1706,116 @@ def invoke_tool(agent, function_name: str, function_args: dict, effective_task_i
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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duration_ms=int((time.monotonic() - tool_start_time) * 1000),
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middleware_trace=list(_tool_middleware_trace),
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)
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except Exception:
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pass
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return result
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if function_name == "todo":
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from tools.todo_tool import todo_tool as _todo_tool
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return _finish_agent_tool(
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_todo_tool(
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todos=function_args.get("todos"),
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merge=function_args.get("merge", False),
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store=agent._todo_store,
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def _execute(next_args: dict) -> Any:
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from tools.todo_tool import todo_tool as _todo_tool
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return _finish_agent_tool(
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_todo_tool(
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todos=next_args.get("todos"),
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merge=next_args.get("merge", False),
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store=agent._todo_store,
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),
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next_args,
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)
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)
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elif function_name == "session_search":
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session_db = agent._get_session_db_for_recall()
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if not session_db:
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from hermes_state import format_session_db_unavailable
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return _finish_agent_tool(json.dumps({"success": False, "error": format_session_db_unavailable()}))
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from tools.session_search_tool import session_search as _session_search
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return _finish_agent_tool(
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_session_search(
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query=function_args.get("query", ""),
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role_filter=function_args.get("role_filter"),
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limit=function_args.get("limit", 3),
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session_id=function_args.get("session_id"),
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around_message_id=function_args.get("around_message_id"),
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window=function_args.get("window", 5),
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sort=function_args.get("sort"),
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db=session_db,
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current_session_id=agent.session_id,
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def _execute(next_args: dict) -> Any:
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session_db = agent._get_session_db_for_recall()
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if not session_db:
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from hermes_state import format_session_db_unavailable
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return _finish_agent_tool(json.dumps({"success": False, "error": format_session_db_unavailable()}), next_args)
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from tools.session_search_tool import session_search as _session_search
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return _finish_agent_tool(
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_session_search(
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query=next_args.get("query", ""),
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role_filter=next_args.get("role_filter"),
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limit=next_args.get("limit", 3),
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session_id=next_args.get("session_id"),
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around_message_id=next_args.get("around_message_id"),
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window=next_args.get("window", 5),
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sort=next_args.get("sort"),
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db=session_db,
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current_session_id=agent.session_id,
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),
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next_args,
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)
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)
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elif function_name == "memory":
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target = function_args.get("target", "memory")
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from tools.memory_tool import memory_tool as _memory_tool
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result = _memory_tool(
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action=function_args.get("action"),
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target=target,
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content=function_args.get("content"),
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old_text=function_args.get("old_text"),
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store=agent._memory_store,
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)
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# Bridge: notify external memory provider of built-in memory writes
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if agent._memory_manager and function_args.get("action") in {"add", "replace"}:
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try:
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agent._memory_manager.on_memory_write(
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function_args.get("action", ""),
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target,
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function_args.get("content", ""),
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metadata=agent._build_memory_write_metadata(
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task_id=effective_task_id,
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tool_call_id=tool_call_id,
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),
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)
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except Exception:
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pass
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return _finish_agent_tool(result)
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elif agent._memory_manager and agent._memory_manager.has_tool(function_name):
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return _finish_agent_tool(agent._memory_manager.handle_tool_call(function_name, function_args))
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elif function_name == "clarify":
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from tools.clarify_tool import clarify_tool as _clarify_tool
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return _finish_agent_tool(
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_clarify_tool(
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question=function_args.get("question", ""),
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choices=function_args.get("choices"),
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callback=agent.clarify_callback,
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def _execute(next_args: dict) -> Any:
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target = next_args.get("target", "memory")
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from tools.memory_tool import memory_tool as _memory_tool
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result = _memory_tool(
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action=next_args.get("action"),
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target=target,
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content=next_args.get("content"),
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old_text=next_args.get("old_text"),
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store=agent._memory_store,
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)
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# Bridge: notify external memory provider of built-in memory writes
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if agent._memory_manager and next_args.get("action") in {"add", "replace"}:
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try:
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agent._memory_manager.on_memory_write(
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next_args.get("action", ""),
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target,
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next_args.get("content", ""),
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metadata=agent._build_memory_write_metadata(
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task_id=effective_task_id,
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tool_call_id=tool_call_id,
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),
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)
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except Exception:
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pass
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return _finish_agent_tool(result, next_args)
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elif agent._memory_manager and agent._memory_manager.has_tool(function_name):
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def _execute(next_args: dict) -> Any:
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return _finish_agent_tool(agent._memory_manager.handle_tool_call(function_name, next_args), next_args)
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elif function_name == "clarify":
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def _execute(next_args: dict) -> Any:
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from tools.clarify_tool import clarify_tool as _clarify_tool
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return _finish_agent_tool(
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_clarify_tool(
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question=next_args.get("question", ""),
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choices=next_args.get("choices"),
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callback=agent.clarify_callback,
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),
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next_args,
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)
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)
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elif function_name == "delegate_task":
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return _finish_agent_tool(agent._dispatch_delegate_task(function_args))
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def _execute(next_args: dict) -> Any:
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return _finish_agent_tool(agent._dispatch_delegate_task(next_args), next_args)
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else:
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return _ra().handle_function_call(
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function_name, function_args, effective_task_id,
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tool_call_id=tool_call_id,
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session_id=agent.session_id or "",
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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enabled_tools=list(agent.valid_tool_names) if agent.valid_tool_names else None,
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skip_pre_tool_call_hook=True,
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enabled_toolsets=getattr(agent, "enabled_toolsets", None),
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disabled_toolsets=getattr(agent, "disabled_toolsets", None),
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)
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def _execute(next_args: dict) -> Any:
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return _ra().handle_function_call(
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function_name, next_args, effective_task_id,
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tool_call_id=tool_call_id,
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session_id=agent.session_id or "",
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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enabled_tools=list(agent.valid_tool_names) if agent.valid_tool_names else None,
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skip_pre_tool_call_hook=True,
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skip_tool_request_middleware=True,
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enabled_toolsets=getattr(agent, "enabled_toolsets", None),
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disabled_toolsets=getattr(agent, "disabled_toolsets", None),
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tool_request_middleware_trace=list(_tool_middleware_trace),
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)
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from hermes_cli.middleware import run_tool_execution_middleware
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return run_tool_execution_middleware(
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function_name,
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function_args,
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lambda next_args: _execute(next_args if isinstance(next_args, dict) else function_args),
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original_args=function_args,
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task_id=effective_task_id or "",
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session_id=getattr(agent, "session_id", "") or "",
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tool_call_id=tool_call_id or "",
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turn_id=getattr(agent, "_current_turn_id", "") or "",
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api_request_id=getattr(agent, "_current_api_request_id", "") or "",
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)
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