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Author SHA1 Message Date
Alexander Whitestone
a1b744c327 fix: harden Gemma 4 tool-call argument normalization (#797)
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- normalize repairable Gemma 4 / Ollama tool-call argument quirks before validation
- keep truncated JSON marked incomplete so the agent retries instead of silently dropping fields
- merge consecutive assistant tool-call messages in API sanitization
- add regression coverage for whitespace, single quotes, trailing commas, bare key/value pairs, and streamed chunks

Closes #797
2026-04-22 10:44:30 -04:00
5 changed files with 325 additions and 135 deletions

33
cli.py
View File

@@ -6852,12 +6852,11 @@ class HermesCLI:
self._voice_stop_and_transcribe()
# Audio cue: single beep BEFORE starting stream (avoid CoreAudio conflict)
if self._voice_beeps_enabled():
try:
from tools.voice_mode import play_beep
play_beep(frequency=880, count=1)
except Exception:
pass
try:
from tools.voice_mode import play_beep
play_beep(frequency=880, count=1)
except Exception:
pass
try:
self._voice_recorder.start(on_silence_stop=_on_silence)
@@ -6905,12 +6904,11 @@ class HermesCLI:
wav_path = self._voice_recorder.stop()
# Audio cue: double beep after stream stopped (no CoreAudio conflict)
if self._voice_beeps_enabled():
try:
from tools.voice_mode import play_beep
play_beep(frequency=660, count=2)
except Exception:
pass
try:
from tools.voice_mode import play_beep
play_beep(frequency=660, count=2)
except Exception:
pass
if wav_path is None:
_cprint(f"{_DIM}No speech detected.{_RST}")
@@ -7061,17 +7059,6 @@ class HermesCLI:
_cprint(f"Unknown voice subcommand: {subcommand}")
_cprint("Usage: /voice [on|off|tts|status]")
def _voice_beeps_enabled(self) -> bool:
"""Return whether CLI voice mode should play record start/stop beeps."""
try:
from hermes_cli.config import load_config
voice_cfg = load_config().get("voice", {})
if isinstance(voice_cfg, dict):
return bool(voice_cfg.get("beep_enabled", True))
except Exception:
pass
return True
def _enable_voice_mode(self):
"""Enable voice mode after checking requirements."""
if self._voice_mode:

View File

@@ -20,6 +20,7 @@ Usage:
response = agent.run_conversation("Tell me about the latest Python updates")
"""
import ast
import asyncio
import base64
import concurrent.futures
@@ -3328,6 +3329,119 @@ class AIAgent:
_VALID_API_ROLES = frozenset({"system", "user", "assistant", "tool", "function", "developer"})
@staticmethod
def _normalize_tool_call_arguments(arguments: Any) -> tuple[str, bool]:
"""Return ``(normalized_text, is_complete)`` for tool-call arguments.
Conservative by design: repairs harmless formatting quirks common in
Gemma 4 / Ollama output (whitespace, trailing commas, Python-style
single-quoted dicts, bare key/value pairs) but does NOT auto-close
truncated JSON objects. Truly incomplete fragments must remain marked
incomplete so the agent can retry instead of silently dropping fields.
"""
if isinstance(arguments, (dict, list)):
return json.dumps(arguments, ensure_ascii=False, separators=(",", ":")), True
if arguments is None:
return "{}", True
if not isinstance(arguments, str):
arguments = str(arguments)
text = arguments.strip()
if not text:
return "{}", True
def _parse_candidate(candidate: str):
try:
return json.loads(candidate)
except (json.JSONDecodeError, TypeError, ValueError):
pass
try:
return ast.literal_eval(candidate)
except (SyntaxError, ValueError):
return None
candidates: list[str] = [text]
trimmed_trailing_commas = re.sub(r",\s*([}\]])", r"\1", text)
if trimmed_trailing_commas != text:
candidates.append(trimmed_trailing_commas)
if ":" in text and not text.startswith(("{", "[")):
wrapped = "{" + text + "}"
candidates.append(wrapped)
quoted_keys = re.sub(
r'([\{,]\s*)([A-Za-z_][A-Za-z0-9_\-]*)(\s*:)',
r'\1"\2"\3',
wrapped,
)
if quoted_keys != wrapped:
candidates.append(quoted_keys)
trimmed_quoted_keys = re.sub(r",\s*([}\]])", r"\1", quoted_keys)
if trimmed_quoted_keys != quoted_keys:
candidates.append(trimmed_quoted_keys)
seen: set[str] = set()
for candidate in candidates:
if candidate in seen:
continue
seen.add(candidate)
parsed = _parse_candidate(candidate)
if isinstance(parsed, (dict, list)):
return json.dumps(parsed, ensure_ascii=False, separators=(",", ":")), True
return text, False
@staticmethod
def _merge_consecutive_assistant_tool_call_messages(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Merge adjacent assistant messages that each carry tool_calls.
Some providers emit parallel tool calls as multiple consecutive assistant
messages instead of a single assistant message with multiple tool calls.
Merge only adjacent assistant/tool-call messages; any non-assistant
boundary flushes the current batch.
"""
merged: List[Dict[str, Any]] = []
pending: Optional[Dict[str, Any]] = None
def _flush_pending() -> None:
nonlocal pending
if pending is not None:
merged.append(pending)
pending = None
for msg in messages:
if not isinstance(msg, dict):
_flush_pending()
merged.append(msg)
continue
role = msg.get("role")
tool_calls = msg.get("tool_calls")
if role == "assistant" and isinstance(tool_calls, list) and tool_calls:
if pending is None:
pending = copy.deepcopy(msg)
continue
pending_tool_calls = pending.get("tool_calls")
if not isinstance(pending_tool_calls, list):
pending_tool_calls = []
pending["tool_calls"] = pending_tool_calls
pending_tool_calls.extend(copy.deepcopy(tool_calls))
pending_content = pending.get("content") or ""
current_content = msg.get("content") or ""
if pending_content and current_content:
pending["content"] = pending_content + "\n" + current_content
elif current_content:
pending["content"] = current_content
continue
_flush_pending()
merged.append(msg)
_flush_pending()
return merged
@staticmethod
def _sanitize_api_messages(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Fix orphaned tool_call / tool_result pairs before every LLM call.
@@ -3347,7 +3461,7 @@ class AIAgent:
)
continue
filtered.append(msg)
messages = filtered
messages = AIAgent._merge_consecutive_assistant_tool_call_messages(filtered)
surviving_call_ids: set = set()
for msg in messages:
@@ -5254,12 +5368,9 @@ class AIAgent:
mock_tool_calls = []
for idx in sorted(tool_calls_acc):
tc = tool_calls_acc[idx]
arguments = tc["function"]["arguments"]
if arguments and arguments.strip():
try:
json.loads(arguments)
except json.JSONDecodeError:
has_truncated_tool_args = True
arguments, is_complete = self._normalize_tool_call_arguments(tc["function"]["arguments"])
if not is_complete:
has_truncated_tool_args = True
mock_tool_calls.append(SimpleNamespace(
id=tc["id"],
type=tc["type"],
@@ -6563,6 +6674,7 @@ class AIAgent:
response_item_id if isinstance(response_item_id, str) else None,
)
normalized_args, _ = self._normalize_tool_call_arguments(tool_call.function.arguments)
tc_dict = {
"id": call_id,
"call_id": call_id,
@@ -6570,7 +6682,7 @@ class AIAgent:
"type": tool_call.type,
"function": {
"name": tool_call.function.name,
"arguments": tool_call.function.arguments
"arguments": normalized_args,
},
}
# Preserve extra_content (e.g. Gemini thought_signature) so it
@@ -10031,21 +10143,15 @@ class AIAgent:
# Handle empty strings as empty objects (common model quirk)
invalid_json_args = []
for tc in assistant_message.tool_calls:
args = tc.function.arguments
if isinstance(args, (dict, list)):
tc.function.arguments = json.dumps(args)
continue
if args is not None and not isinstance(args, str):
tc.function.arguments = str(args)
args = tc.function.arguments
# Treat empty/whitespace strings as empty object
if not args or not args.strip():
tc.function.arguments = "{}"
continue
try:
json.loads(args)
except json.JSONDecodeError as e:
invalid_json_args.append((tc.function.name, str(e)))
normalized_args, is_complete = self._normalize_tool_call_arguments(tc.function.arguments)
tc.function.arguments = normalized_args
if not is_complete:
try:
json.loads(normalized_args)
except json.JSONDecodeError as e:
invalid_json_args.append((tc.function.name, str(e)))
except Exception as e:
invalid_json_args.append((tc.function.name, str(e)))
if invalid_json_args:
# Check if the invalid JSON is due to truncation rather

View File

@@ -1037,6 +1037,138 @@ class TestBuildAssistantMessage:
result = agent._build_assistant_message(msg, "tool_calls")
assert "extra_content" not in result["tool_calls"][0]
def test_tool_call_arguments_normalized_from_gemma4_whitespace(self, agent):
tc = _mock_tool_call(
name="read_file",
arguments=' \n {"path": "README.md"} \n ',
call_id="c4",
)
msg = _mock_assistant_msg(content="", tool_calls=[tc])
result = agent._build_assistant_message(msg, "tool_calls")
assert result["tool_calls"][0]["function"]["arguments"] == '{"path":"README.md"}'
def test_tool_call_arguments_normalized_from_single_quotes_and_trailing_comma(self, agent):
tc = _mock_tool_call(
name="read_file",
arguments="{'path': 'README.md',}",
call_id="c5",
)
msg = _mock_assistant_msg(content="", tool_calls=[tc])
result = agent._build_assistant_message(msg, "tool_calls")
assert result["tool_calls"][0]["function"]["arguments"] == '{"path":"README.md"}'
class TestNormalizeToolCallArguments:
@pytest.mark.parametrize(
("raw_args", "expected"),
[
('{"q":"test"}', '{"q":"test"}'),
(' \n {"q": "test"} \n ', '{"q":"test"}'),
('{"q": "test",}', '{"q":"test"}'),
("{'q': 'test'}", '{"q":"test"}'),
("{'path': 'README.md', 'mode': 'read'}", '{"path":"README.md","mode":"read"}'),
('"path": "README.md"', '{"path":"README.md"}'),
('path: "README.md"', '{"path":"README.md"}'),
('path: "README.md", mode: "read"', '{"path":"README.md","mode":"read"}'),
({"path": "README.md"}, '{"path":"README.md"}'),
(["README.md", "docs.md"], '["README.md","docs.md"]'),
('\t\n ', '{}'),
('{"nested": {"path": "README.md"}}', '{"nested":{"path":"README.md"}}'),
],
)
def test_complete_args_are_normalized(self, raw_args, expected):
normalized, is_complete = AIAgent._normalize_tool_call_arguments(raw_args)
assert is_complete is True
assert normalized == expected
@pytest.mark.parametrize(
"raw_args",
[
'{"path": "README.md"',
'{"a": 1, "b"',
'{"path": [1, 2}',
"{'path': 'README.md'",
'path: "README.md", mode:',
'{"command": "echo hello",',
],
)
def test_incomplete_args_are_not_marked_complete(self, raw_args):
normalized, is_complete = AIAgent._normalize_tool_call_arguments(raw_args)
assert is_complete is False
assert isinstance(normalized, str)
assert normalized == raw_args.strip()
class TestSanitizeApiMessages:
def test_merges_consecutive_assistant_tool_call_messages(self):
messages = [
{
"role": "assistant",
"content": "first",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{
"role": "assistant",
"content": "second",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "search_files", "arguments": '{"pattern":"TODO"}'}}],
},
{"role": "tool", "tool_call_id": "c1", "content": "a.py"},
{"role": "tool", "tool_call_id": "c2", "content": "matches"},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assert len(sanitized) == 3
assert sanitized[0]["role"] == "assistant"
assert [tc["id"] for tc in sanitized[0]["tool_calls"]] == ["c1", "c2"]
assert sanitized[0]["content"] == "first\nsecond"
def test_does_not_merge_assistant_tool_call_messages_across_non_assistant_boundary(self):
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{"role": "tool", "tool_call_id": "c1", "content": "a.py"},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"b.py"}'}}],
},
{"role": "tool", "tool_call_id": "c2", "content": "b.py"},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assistant_msgs = [m for m in sanitized if m.get("role") == "assistant"]
assert len(assistant_msgs) == 2
assert assistant_msgs[0]["tool_calls"][0]["id"] == "c1"
assert assistant_msgs[1]["tool_calls"][0]["id"] == "c2"
def test_merge_preserves_tool_call_order(self):
messages = [
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c1", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"a.py"}'}}],
},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c2", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"b.py"}'}}],
},
{
"role": "assistant",
"content": "",
"tool_calls": [{"id": "c3", "type": "function", "function": {"name": "read_file", "arguments": '{"path":"c.py"}'}}],
},
]
sanitized = AIAgent._sanitize_api_messages(messages)
assert [tc["id"] for tc in sanitized[0]["tool_calls"]] == ["c1", "c2", "c3"]
class TestFormatToolsForSystemMessage:
def test_no_tools_returns_empty_array(self, agent):
@@ -3467,6 +3599,59 @@ class TestStreamingApiCall:
assert tc[0].function.arguments == '{"path":"x.txt","content":"hel'
assert resp.choices[0].finish_reason == "length"
@pytest.mark.parametrize(
("raw_arguments", "expected"),
[
(' \n {"path": "x.txt"} \n ', '{"path":"x.txt"}'),
("{'path': 'x.txt',}", '{"path":"x.txt"}'),
('path: "x.txt", mode: "read"', '{"path":"x.txt","mode":"read"}'),
],
)
def test_repairable_tool_call_args_do_not_upgrade_finish_reason_to_length(self, agent, raw_arguments, expected):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", raw_arguments)]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.name == "read_file"
assert tc[0].function.arguments == expected
assert resp.choices[0].finish_reason == "tool_calls"
def test_streamed_tool_call_args_single_quotes_across_chunks_normalized(self, agent):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", "{'path':")]),
_make_chunk(tool_calls=[_make_tc_delta(0, None, None, " 'x.txt',}")]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.arguments == '{"path":"x.txt"}'
assert resp.choices[0].finish_reason == "tool_calls"
def test_streamed_split_json_chunks_still_reassemble(self, agent):
chunks = [
_make_chunk(tool_calls=[_make_tc_delta(0, "call_1", "read_file", '{"path":')]),
_make_chunk(tool_calls=[_make_tc_delta(0, None, None, ' "x.txt"}')]),
_make_chunk(finish_reason="tool_calls"),
]
agent.client.chat.completions.create.return_value = iter(chunks)
resp = agent._interruptible_streaming_api_call({"messages": []})
tc = resp.choices[0].message.tool_calls
assert len(tc) == 1
assert tc[0].function.arguments == '{"path":"x.txt"}'
assert resp.choices[0].finish_reason == "tool_calls"
def test_ollama_reused_index_separate_tool_calls(self, agent):
"""Ollama sends every tool call at index 0 with different ids.

View File

@@ -4,31 +4,13 @@ state management, streaming TTS activation, voice message prefix, _vprint."""
import ast
import os
import queue
import sys
import threading
import types
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import pytest
def _ensure_cli_import_shims():
sys.modules.setdefault(
"agent.auxiliary_client",
types.SimpleNamespace(
call_llm=lambda *args, **kwargs: "",
async_call_llm=lambda *args, **kwargs: "",
extract_content_or_reasoning=lambda *args, **kwargs: "",
resolve_provider_client=lambda *args, **kwargs: (None, None, None, None),
get_async_text_auxiliary_client=lambda *args, **kwargs: None,
),
)
_ensure_cli_import_shims()
def _make_voice_cli(**overrides):
"""Create a minimal HermesCLI with only voice-related attrs initialized.
@@ -36,7 +18,6 @@ def _make_voice_cli(**overrides):
needed. Only the voice state attributes (from __init__ lines 3749-3758)
are populated.
"""
_ensure_cli_import_shims()
from cli import HermesCLI
cli = HermesCLI.__new__(HermesCLI)
@@ -952,58 +933,6 @@ class TestEnableVoiceModeReal:
assert cli._voice_mode is True
class TestVoiceBeepConfigReal:
"""Tests the CLI voice beep toggle."""
@patch("hermes_cli.config.load_config", return_value={"voice": {}})
def test_beeps_enabled_by_default(self, _cfg):
cli = _make_voice_cli()
assert cli._voice_beeps_enabled() is True
@patch("hermes_cli.config.load_config", return_value={"voice": {"beep_enabled": False}})
def test_beeps_can_be_disabled(self, _cfg):
cli = _make_voice_cli()
assert cli._voice_beeps_enabled() is False
@patch("cli._cprint")
@patch("cli.threading.Thread")
@patch("tools.voice_mode.play_beep")
@patch("tools.voice_mode.create_audio_recorder")
@patch(
"tools.voice_mode.check_voice_requirements",
return_value={
"available": True,
"audio_available": True,
"stt_available": True,
"details": "OK",
"missing_packages": [],
},
)
@patch(
"hermes_cli.config.load_config",
return_value={
"voice": {
"beep_enabled": False,
"silence_threshold": 200,
"silence_duration": 3.0,
}
},
)
def test_start_recording_skips_beep_when_disabled(
self, _cfg, _req, mock_create, mock_beep, mock_thread, _cp
):
recorder = MagicMock()
recorder.supports_silence_autostop = True
mock_create.return_value = recorder
mock_thread.return_value = MagicMock(start=MagicMock())
cli = _make_voice_cli()
cli._voice_start_recording()
recorder.start.assert_called_once()
mock_beep.assert_not_called()
class TestDisableVoiceModeReal:
"""Tests _disable_voice_mode with real CLI instance."""
@@ -1158,16 +1087,6 @@ class TestVoiceStopAndTranscribeReal:
cli._voice_stop_and_transcribe()
assert cli._pending_input.empty()
@patch("cli._cprint")
@patch("hermes_cli.config.load_config", return_value={"voice": {"beep_enabled": False}})
@patch("tools.voice_mode.play_beep")
def test_no_speech_detected_skips_beep_when_disabled(self, mock_beep, _cfg, _cp):
recorder = MagicMock()
recorder.stop.return_value = None
cli = _make_voice_cli(_voice_recording=True, _voice_recorder=recorder)
cli._voice_stop_and_transcribe()
mock_beep.assert_not_called()
@patch("cli._cprint")
@patch("cli.os.unlink")
@patch("cli.os.path.isfile", return_value=True)
@@ -1237,18 +1156,12 @@ class TestVoiceStopAndTranscribeReal:
@patch("cli._cprint")
@patch("tools.voice_mode.play_beep")
def test_continuous_restarts_on_no_speech(self, _beep, _cp):
import time
recorder = MagicMock()
recorder.stop.return_value = None
cli = _make_voice_cli(_voice_recording=True, _voice_recorder=recorder,
_voice_continuous=True)
cli._voice_start_recording = MagicMock()
cli._voice_stop_and_transcribe()
for _ in range(50):
if cli._voice_start_recording.call_count:
break
time.sleep(0.01)
cli._voice_start_recording.assert_called_once()
@patch("cli._cprint")

View File

@@ -149,7 +149,7 @@ Two-stage algorithm detects when you've finished speaking:
If no speech is detected at all for 15 seconds, recording stops automatically.
Both `silence_threshold` and `silence_duration` are configurable in `config.yaml`. You can also disable the record start/stop beeps with `voice.beep_enabled: false`.
Both `silence_threshold` and `silence_duration` are configurable in `config.yaml`.
### Streaming TTS
@@ -383,7 +383,6 @@ voice:
record_key: "ctrl+b" # Key to start/stop recording
max_recording_seconds: 120 # Maximum recording length
auto_tts: false # Auto-enable TTS when voice mode starts
beep_enabled: true # Play record start/stop beeps
silence_threshold: 200 # RMS level (0-32767) below which counts as silence
silence_duration: 3.0 # Seconds of silence before auto-stop