fix: drop generic repeated tool-call guard

The global guard changed baseline agent and subagent behavior without
proving a real no-progress loop. Keep this PR focused on the cron
contract hardening and validation fixes.

Made-with: Cursor
This commit is contained in:
Xubin Ren
2026-04-18 19:59:58 +00:00
parent adc1e843b4
commit 9c0dc8b276
4 changed files with 11 additions and 127 deletions
+11 -31
View File
@@ -3,14 +3,15 @@
from __future__ import annotations
import asyncio
import inspect
from dataclasses import dataclass, field
import inspect
from pathlib import Path
from typing import Any
from loguru import logger
from nanobot.agent.hook import AgentHook, AgentHookContext
from nanobot.utils.prompt_templates import render_template
from nanobot.agent.tools.registry import ToolRegistry
from nanobot.providers.base import LLMProvider, ToolCallRequest
from nanobot.utils.helpers import (
@@ -21,7 +22,6 @@ from nanobot.utils.helpers import (
maybe_persist_tool_result,
truncate_text,
)
from nanobot.utils.prompt_templates import render_template
from nanobot.utils.runtime import (
EMPTY_FINAL_RESPONSE_MESSAGE,
build_finalization_retry_message,
@@ -29,7 +29,6 @@ from nanobot.utils.runtime import (
ensure_nonempty_tool_result,
is_blank_text,
repeated_external_lookup_error,
repeated_tool_call_error,
)
_DEFAULT_ERROR_MESSAGE = "Sorry, I encountered an error calling the AI model."
@@ -235,7 +234,6 @@ class AgentRunner:
stop_reason = "completed"
tool_events: list[dict[str, str]] = []
external_lookup_counts: dict[str, int] = {}
tool_call_counts: dict[str, int] = {}
empty_content_retries = 0
length_recovery_count = 0
had_injections = False
@@ -306,7 +304,6 @@ class AgentRunner:
spec,
response.tool_calls,
external_lookup_counts,
tool_call_counts,
)
tool_events.extend(new_events)
context.tool_results = list(results)
@@ -627,21 +624,18 @@ class AgentRunner:
spec: AgentRunSpec,
tool_calls: list[ToolCallRequest],
external_lookup_counts: dict[str, int],
tool_call_counts: dict[str, int],
) -> tuple[list[Any], list[dict[str, str]], BaseException | None]:
batches = self._partition_tool_batches(spec, tool_calls)
tool_results: list[tuple[Any, dict[str, str], BaseException | None]] = []
for batch in batches:
if spec.concurrent_tools and len(batch) > 1:
tool_results.extend(await asyncio.gather(*(
self._run_tool(spec, tool_call, external_lookup_counts, tool_call_counts)
self._run_tool(spec, tool_call, external_lookup_counts)
for tool_call in batch
)))
else:
for tool_call in batch:
tool_results.append(
await self._run_tool(spec, tool_call, external_lookup_counts, tool_call_counts)
)
tool_results.append(await self._run_tool(spec, tool_call, external_lookup_counts))
results: list[Any] = []
events: list[dict[str, str]] = []
@@ -658,9 +652,8 @@ class AgentRunner:
spec: AgentRunSpec,
tool_call: ToolCallRequest,
external_lookup_counts: dict[str, int],
tool_call_counts: dict[str, int],
) -> tuple[Any, dict[str, str], BaseException | None]:
_hint = "\n\n[Analyze the error above and try a different approach.]"
_HINT = "\n\n[Analyze the error above and try a different approach.]"
lookup_error = repeated_external_lookup_error(
tool_call.name,
tool_call.arguments,
@@ -673,22 +666,8 @@ class AgentRunner:
"detail": "repeated external lookup blocked",
}
if spec.fail_on_tool_error:
return lookup_error + _hint, event, RuntimeError(lookup_error)
return lookup_error + _hint, event, None
repeat_error = repeated_tool_call_error(
tool_call.name,
tool_call.arguments,
tool_call_counts,
)
if repeat_error:
event = {
"name": tool_call.name,
"status": "error",
"detail": "repeated identical tool call blocked",
}
if spec.fail_on_tool_error:
return repeat_error + _hint, event, RuntimeError(repeat_error)
return repeat_error + _hint, event, None
return lookup_error + _HINT, event, RuntimeError(lookup_error)
return lookup_error + _HINT, event, None
prepare_call = getattr(spec.tools, "prepare_call", None)
tool, params, prep_error = None, tool_call.arguments, None
if callable(prepare_call):
@@ -704,7 +683,7 @@ class AgentRunner:
"status": "error",
"detail": prep_error.split(": ", 1)[-1][:120],
}
return prep_error + _hint, event, RuntimeError(prep_error) if spec.fail_on_tool_error else None
return prep_error + _HINT, event, RuntimeError(prep_error) if spec.fail_on_tool_error else None
try:
if tool is not None:
result = await tool.execute(**params)
@@ -729,8 +708,8 @@ class AgentRunner:
"detail": result.replace("\n", " ").strip()[:120],
}
if spec.fail_on_tool_error:
return result + _hint, event, RuntimeError(result)
return result + _hint, event, None
return result + _HINT, event, RuntimeError(result)
return result + _HINT, event, None
detail = "" if result is None else str(result)
detail = detail.replace("\n", " ").strip()
@@ -1005,3 +984,4 @@ class AgentRunner:
if current:
batches.append(current)
return batches
-34
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@@ -2,7 +2,6 @@
from __future__ import annotations
import json
from typing import Any
from loguru import logger
@@ -10,7 +9,6 @@ from loguru import logger
from nanobot.utils.helpers import stringify_text_blocks
_MAX_REPEAT_EXTERNAL_LOOKUPS = 2
_MAX_REPEAT_TOOL_CALLS = 2
EMPTY_FINAL_RESPONSE_MESSAGE = (
"I completed the tool steps but couldn't produce a final answer. "
@@ -75,15 +73,6 @@ def external_lookup_signature(tool_name: str, arguments: dict[str, Any]) -> str
return None
def tool_call_signature(tool_name: str, arguments: dict[str, Any]) -> str:
"""Stable signature for repeated tool calls across retries."""
try:
args_json = json.dumps(arguments, sort_keys=True, default=str, ensure_ascii=True)
except Exception:
args_json = repr(sorted(arguments.items()))
return f"{tool_name}:{args_json}"
def repeated_external_lookup_error(
tool_name: str,
arguments: dict[str, Any],
@@ -106,26 +95,3 @@ def repeated_external_lookup_error(
"Error: repeated external lookup blocked. "
"Use the results you already have to answer, or try a meaningfully different source."
)
def repeated_tool_call_error(
tool_name: str,
arguments: dict[str, Any],
seen_counts: dict[str, int],
) -> str | None:
"""Block repeated identical tool calls after a small retry budget."""
signature = tool_call_signature(tool_name, arguments)
count = seen_counts.get(signature, 0) + 1
seen_counts[signature] = count
if count <= _MAX_REPEAT_TOOL_CALLS:
return None
logger.warning(
"Blocking repeated tool call {} on attempt {}",
signature[:160],
count,
)
return (
f"Error: repeated identical call to '{tool_name}' blocked after {count - 1} attempts. "
"The previous attempts used the same arguments. Change the arguments or try a different "
"approach."
)
-42
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@@ -854,48 +854,6 @@ async def test_runner_blocks_repeated_external_fetches():
assert "repeated external lookup blocked" in blocked_tool_message["content"]
@pytest.mark.asyncio
async def test_runner_blocks_repeated_identical_tool_calls():
from nanobot.agent.runner import AgentRunSpec, AgentRunner
provider = MagicMock()
captured_final_call: list[dict] = []
call_count = {"n": 0}
async def chat_with_retry(*, messages, **kwargs):
call_count["n"] += 1
if call_count["n"] <= 3:
return LLMResponse(
content="working",
tool_calls=[ToolCallRequest(id=f"call_{call_count['n']}", name="read_file", arguments={"path": "memory/history.jsonl", "limit": 50, "offset": 1})],
usage={},
)
captured_final_call[:] = messages
return LLMResponse(content="done", tool_calls=[], usage={})
provider.chat_with_retry = chat_with_retry
tools = MagicMock()
tools.get_definitions.return_value = []
tools.execute = AsyncMock(return_value="file content")
runner = AgentRunner(provider)
result = await runner.run(AgentRunSpec(
initial_messages=[{"role": "user", "content": "what happened recently?"}],
tools=tools,
model="test-model",
max_iterations=4,
max_tool_result_chars=_MAX_TOOL_RESULT_CHARS,
))
assert result.final_content == "done"
assert tools.execute.await_count == 2
blocked_tool_message = [
msg for msg in captured_final_call
if msg.get("role") == "tool" and msg.get("tool_call_id") == "call_3"
][0]
assert "repeated identical call to 'read_file' blocked" in blocked_tool_message["content"]
@pytest.mark.asyncio
async def test_loop_max_iterations_message_stays_stable(tmp_path):
loop = _make_loop(tmp_path)
-20
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@@ -1,20 +0,0 @@
from nanobot.utils.runtime import repeated_tool_call_error, tool_call_signature
def test_tool_call_signature_sorts_arguments_stably() -> None:
first = tool_call_signature("read_file", {"offset": 1, "path": "memory/history.jsonl"})
second = tool_call_signature("read_file", {"path": "memory/history.jsonl", "offset": 1})
assert first == second
def test_repeated_tool_call_error_blocks_after_two_attempts() -> None:
seen: dict[str, int] = {}
assert repeated_tool_call_error("read_file", {"path": "a.txt"}, seen) is None
assert repeated_tool_call_error("read_file", {"path": "a.txt"}, seen) is None
error = repeated_tool_call_error("read_file", {"path": "a.txt"}, seen)
assert error is not None
assert "repeated identical call to 'read_file' blocked after 2 attempts" in error