feat: harden Qwen agentic tool orchestration

This commit is contained in:
Mikei386
2026-08-24 10:47:13 +02:00
parent 4ac0c479c4
commit 5cb6079918
11 changed files with 371 additions and 62 deletions
+89 -3
View File
@@ -41,6 +41,7 @@ _OPS = (
"get",
"read_source",
"find_source",
"find_commented_blocks",
"list_backups",
"create",
"update",
@@ -66,8 +67,9 @@ _SECRET_REFERENCE = re.compile(r"!secret\s+[^\s#]+", re.IGNORECASE)
"Safely inspect and edit Home Assistant YAML. Structured CRUD is limited to "
"automations.yaml, scripts.yaml and scenes.yaml. Raw source operations also "
"allow configuration.yaml so commented-out blocks can be found and reviewed. "
"secrets.yaml and arbitrary paths are impossible. Use read_source/find_source "
"for comments or exact YAML text. Every mutation first returns a diff/preview "
"secrets.yaml and arbitrary paths are impossible. Use find_commented_blocks once "
"to inventory fully commented YAML entries; use read_source/find_source only for "
"other comments or exact YAML text. Every mutation first returns a diff/preview "
"and one-time approval_ticket; only repeat the exact unchanged call with "
"confirm=true after explicit user approval. Writes create a backup, are atomic, "
"run Home Assistant config validation, roll back on failure, and reload the "
@@ -139,7 +141,7 @@ _SECRET_REFERENCE = re.compile(r"!secret\s+[^\s#]+", re.IGNORECASE)
requires_admin=True,
write_ops=["create", "update", "replace_source_text", "reload"],
destructive_ops=["delete", "restore_backup"],
admin_ops=["list", "get", "read_source", "find_source", "list_backups"],
admin_ops=["list", "get", "read_source", "find_source", "find_commented_blocks", "list_backups"],
)
async def ha_yaml_config(
hass: HomeAssistant,
@@ -178,6 +180,10 @@ async def ha_yaml_config(
if not query:
raise ToolError("op=find_source requires query")
return await _find_source(hass, path, query, max_lines)
if op == "find_commented_blocks":
if kind not in {"automation", "scene"}:
raise ToolError("find_commented_blocks supports automation and scene list files")
return await _find_commented_blocks(hass, path, max_lines)
if op == "list_backups":
return await _list_backups(hass, filename, limit, offset)
if op == "replace_source_text":
@@ -387,6 +393,86 @@ async def _find_source(hass: HomeAssistant, path: Path, query: str, max_lines: i
}
def _extract_commented_blocks(text: str, max_lines: int) -> tuple[list[dict[str, Any]], bool]:
"""Return top-level YAML list entries whose every source line is commented.
This intentionally recognizes only the conservative ``# - id:`` form used
by Home Assistant's automations/scenes editor. Ordinary prose comments,
partially disabled entries and nested comments are not treated as entries.
"""
lines = text.splitlines()
start_pattern = re.compile(r"^\s*#\s*-\s+id\s*:\s*(.*?)\s*$", re.IGNORECASE)
alias_pattern = re.compile(r"^\s*#\s+alias\s*:\s*(.*?)\s*$", re.IGNORECASE)
blocks: list[dict[str, Any]] = []
consumed = 0
index = 0
truncated = False
def clean_scalar(value: str) -> str:
value = value.strip()
if len(value) >= 2 and value[0] == value[-1] and value[0] in {"'", '"'}:
return value[1:-1]
return value
while index < len(lines):
match = start_pattern.match(lines[index])
if not match:
index += 1
continue
start = index
block_lines = [lines[index]]
index += 1
while index < len(lines):
if start_pattern.match(lines[index]):
break
if not lines[index].strip() or not re.match(r"^\s*#", lines[index]):
break
block_lines.append(lines[index])
index += 1
if consumed + len(block_lines) > max_lines:
truncated = True
break
alias = None
for line in block_lines:
alias_match = alias_pattern.match(line)
if alias_match:
alias = clean_scalar(alias_match.group(1))
break
blocks.append(
{
"start_line": start + 1,
"end_line": start + len(block_lines),
"id": clean_scalar(match.group(1)),
"alias": alias,
"source": [
{"line": start + offset + 1, "text": _redact_line(line)}
for offset, line in enumerate(block_lines)
],
}
)
consumed += len(block_lines)
return blocks, truncated
async def _find_commented_blocks(
hass: HomeAssistant, path: Path, max_lines: int
) -> dict[str, Any]:
text = await _read_text(hass, path)
cap = max(1, min(max_lines, 400))
blocks, truncated = _extract_commented_blocks(text, cap)
return {
"file": path.name,
"sha256": _fingerprint(text),
"authoritative_block_count": len(blocks) if not truncated else None,
"returned_block_count": len(blocks),
"returned_source_lines": sum(len(block["source"]) for block in blocks),
"has_more": truncated,
"blocks": blocks,
"recognition_rule": "Only fully commented top-level '# - id:' YAML list entries are returned.",
"redaction_note": "Credential-like values and !secret reference names are redacted.",
}
def _source_diff(filename: str, before: str, after: str) -> list[str]:
return list(
difflib.unified_diff(
@@ -1,7 +1,7 @@
"""
title: MikeAI Auto Tool Selector
author: MikeAI
version: 3.0.0
version: 3.2.0
description: Selects a small, relevant set of MCP servers for each user request.
"""
@@ -16,8 +16,11 @@ class Filter:
class Valves(BaseModel):
priority: int = 25
enabled: bool = True
max_automatic_tools: int = 2
max_automatic_tools: int = 3
show_selection_status: bool = True
enable_multidomain_reasoning: bool = True
multidomain_reasoning_effort: str = "medium"
multidomain_reasoning_budget: int = 3072
TOOL_IDS = {
"github": "server:mcp:github-local",
@@ -121,8 +124,9 @@ class Filter:
homeassistant = self._matches(
text,
(
r"\bhome\s*assist(?:ant|ent)\b", r"\bhomeassistant\b", r"\bhass\b",
r"\bhome\s*assist(?:ant|ent)s?\b", r"\bhomeassistants?\b", r"\bhass\b",
r"\bautomatisierung(?:en)?\b", r"\bentit[aä]t(?:en)?\b",
r"\bautomations?\.ya?ml\b", r"\bconfiguration\.ya?ml\b",
r"\b(?:sensor|light|switch|climate|automation)\.[\w.-]+",
r"\b(?:temperatur|luftfeuchtigkeit|wie warm)\b.*\b"
r"(?:k[uü]che|wohnzimmer|schlafzimmer|bad|toilette|keller|haus)\b",
@@ -166,35 +170,30 @@ class Filter:
),
)
# Existing infrastructure must be inspected before a new integration
# is designed. For a GitHub-backed MCP that targets a service already
# running on Unraid, source plus Unraid inventory are the two most
# useful bounded capabilities; the Operator follows at implementation.
if github and unraid:
selected.extend(("github", "unraid"))
elif operator:
# A real integration or incident task can legitimately span three
# trust domains (for example GitHub source + Unraid runtime + Home
# Assistant configuration). Attach each relevant specialist once;
# the evidence-plan rule keeps the model breadth-first and bounded.
if operator:
selected.append("operator")
elif platform:
selected.append("platform")
elif homeassistant:
selected.append("homeassistant")
elif arr:
selected.append("arr")
elif navidrome:
selected.append("navidrome")
elif unraid:
selected.append("unraid")
elif github:
if github:
selected.append("github")
if unraid:
selected.append("unraid")
if homeassistant:
selected.append("homeassistant")
if arr:
selected.append("arr")
if navidrome:
selected.append("navidrome")
if platform and not operator:
selected.append("platform")
# A direct GitHub reference should still use GitHub even if broader web
# research is also requested. General public web research is provided
# by Open WebUI's native search_web/fetch_url tools and therefore must
# not auto-attach the older specialist web MCP.
if github and "github" not in selected:
selected.insert(0, "github")
return selected[: max(0, self.valves.max_automatic_tools)]
return list(dict.fromkeys(selected))[: max(0, self.valves.max_automatic_tools)]
async def _notify(self, emitter, labels: list[str]) -> None:
if emitter is None or not self.valves.show_selection_status:
@@ -230,6 +229,20 @@ class Filter:
merged.append(tool_id)
body["tool_ids"] = merged
# Qwen3.8 is markedly more reliable on long, cross-domain tool tasks
# when its reasoning channel is preserved. Keep ordinary one-tool
# requests fast, but give requests that genuinely span two specialist
# MCPs a bounded reasoning budget. An explicit user-selected effort is
# never overwritten.
if (
self.valves.enable_multidomain_reasoning
and len(selected) >= 2
and body.get("reasoning_effort") in (None, "", "none")
):
body["reasoning_effort"] = self.valves.multidomain_reasoning_effort
if not body.get("reasoning_budget"):
body["reasoning_budget"] = self.valves.multidomain_reasoning_budget
labels = [self.LABELS[category] for category in selected]
self._add_system_rule(body, labels)
await self._notify(__event_emitter__, labels)
@@ -1,7 +1,7 @@
"""
title: MikeAI Stability Guard
author: MikeAI
version: 2.2.0
version: 2.3.0
description: Bounds tool output and context use and breaks repeated tool-call loops.
"""
@@ -32,7 +32,7 @@ class Filter:
# Secondary protection for histories that re-enter the filter. The
# live internal tool loop is bounded and finalized by the derived
# OpenWebUI image because inlet filters do not run between its rounds.
max_tool_calls_per_turn: int = 10
max_tool_calls_per_turn: int = 12
max_private_table_tool_calls: int = 6
def __init__(self):
+1 -1
View File
@@ -95,7 +95,7 @@ functions = [
("thinking", "Thinking", "filter", 20, filter_dir, ""),
(
"auto_tool_selector", "MikeAI Auto Tool Selector", "filter", 25, filter_dir,
"Stellt pro Anfrage höchstens zwei passende MCP-Werkzeuge bereit. "
"Stellt pro Anfrage höchstens drei passende MCP-Werkzeuge bereit und aktiviert bei echten Mehrdomänen-Aufgaben begrenztes Reasoning. "
"Die Auswahl ist keine Freigabe für schreibende Aktionen.",
),
("stability_guard", "MikeAI Stability Guard", "filter", 30, filter_dir, ""),
+12
View File
@@ -225,6 +225,18 @@ params = {
"public information you may make at most one focused fallback attempt with "
"the general web tool, then synthesize the available evidence or stop clearly; "
"never enter a fallback or synonym-search loop. "
"For a multi-step or multi-domain request, make a compact evidence plan before "
"the first tool call. Reserve at least one call for every requested domain instead "
"of exhausting the budget in the first system. Work breadth-first: obtain one "
"bounded inventory or overview from each relevant domain, then make only targeted "
"follow-up calls for facts still missing. Every call must answer a specific unresolved "
"question. Check cheap pass/fail constraints that can invalidate a candidate before "
"spending calls on deep research. If a candidate fails a mandatory constraint, switch "
"immediately; do not produce the explicitly forbidden candidate as the main result. "
"Never invoke the same operation with identical arguments twice, and normally "
"use one operation no more than four times. If the user asks for a simulation or plan, "
"perform read-only discovery only and do not execute the proposed state changes. Stop "
"research as soon as the evidence is sufficient and synthesize the complete answer. "
"Never invent tool results, system state, files, measurements, or actions. "
"For claims about current external or system state, you must successfully "
"use the relevant domain tool during the current request before saying "
+98 -21
View File
@@ -26,10 +26,15 @@ needle = """ tool_call_iterations = 0
"""
replacement = """ tool_call_iterations = 0
# Open WebUI counts batches, while one model turn may request many
# functions in parallel. Bound actual executions as well so a small
# local model cannot expand eight rounds into dozens of API calls.
# functions in parallel. Keep an execution budget as a second bound,
# but make it large enough for genuinely agentic multi-domain work.
# Per-tool and exact-repeat limits below prevent one low-level MCP
# operation from consuming the whole turn.
tool_call_executions = 0
max_tool_call_executions = 6
max_tool_call_executions = 12
max_executions_per_tool = 4
tool_execution_counts = {}
seen_tool_signatures = set()
max_tool_call_iterations = getattr(
"""
if source.count(needle) != 1:
@@ -44,11 +49,30 @@ needle = """ response_tool_calls = tool_calls.pop(0)
"""
replacement = """ response_tool_calls = tool_calls.pop(0)
remaining_tool_calls = max(
0, max_tool_call_executions - tool_call_executions
)
skipped_tool_calls = response_tool_calls[remaining_tool_calls:]
response_tool_calls = response_tool_calls[:remaining_tool_calls]
accepted_tool_calls = []
skipped_tool_calls = []
skip_reasons = []
for candidate in response_tool_calls:
function = candidate.get('function') or candidate
tool_name = function.get('name') or candidate.get('name') or 'unknown'
arguments = function.get('arguments') or candidate.get('arguments') or ''
signature = f'{tool_name}:{arguments}'
if tool_call_executions + len(accepted_tool_calls) >= max_tool_call_executions:
skipped_tool_calls.append(candidate)
skip_reasons.append('total execution budget reached')
continue
if tool_execution_counts.get(tool_name, 0) >= max_executions_per_tool:
skipped_tool_calls.append(candidate)
skip_reasons.append(f'per-tool budget reached for {tool_name}')
continue
if signature in seen_tool_signatures:
skipped_tool_calls.append(candidate)
skip_reasons.append(f'exact duplicate suppressed for {tool_name}')
continue
accepted_tool_calls.append(candidate)
seen_tool_signatures.add(signature)
tool_execution_counts[tool_name] = tool_execution_counts.get(tool_name, 0) + 1
response_tool_calls = accepted_tool_calls
if skipped_tool_calls:
skipped_ids = {call.get('id', '') for call in skipped_tool_calls}
# Responses API streaming may already have exposed all calls
@@ -91,6 +115,7 @@ replacement = """ # The upstream loop otherwise stops wit
and tool_call_iterations >= max_tool_call_iterations
)
or tool_call_executions >= max_tool_call_executions
or bool(skipped_tool_calls)
)
if force_final_response:
new_form_data.pop('tools', None)
@@ -101,16 +126,32 @@ replacement = """ # The upstream loop otherwise stops wit
final_metadata['tool_ids'] = []
final_metadata['tool_servers'] = []
new_form_data['metadata'] = final_metadata
new_form_data['messages'] = add_or_update_system_message(
'The tool budget for this turn is exhausted. Do not call '
'or imitate any more tools. Give the user a concise final '
'answer now using only the tool results already present. '
'Explicitly distinguish verified findings from inference, '
'and state what could not be verified. Never end without a '
'visible answer.',
new_form_data['messages'],
append=True,
final_reason = '; '.join(dict.fromkeys(skip_reasons)) or 'execution budget reached'
final_instruction = (
'The tool research phase is finished (' + final_reason + '). '
'Do not call or imitate any more tools. Give the user a concise '
'final answer now using only the tool results already present. '
'Explicitly distinguish verified findings from inference, state '
'what could not be verified, and never end without a visible answer.'
)
# Qwen3.8 requires system messages to precede the conversation.
# Merge into the first system message (or create it at index 0)
# instead of appending a mid-conversation system message.
system_message = next(
(
message
for message in new_form_data['messages']
if message.get('role') == 'system'
and isinstance(message.get('content'), str)
),
None,
)
if system_message is None:
new_form_data['messages'].insert(
0, {'role': 'system', 'content': final_instruction}
)
else:
system_message['content'] += '\\n\\n' + final_instruction
# A final user-role instruction is deliberately stronger
# than another system suffix after a long tool-call pattern.
# It is request-local and is not added to the saved chat.
@@ -145,10 +186,46 @@ needle = """ await stream_body_handler(res, new_form_
output[:0] = prior_output
"""
replacement = """ await stream_body_handler(res, new_form_data)
if force_final_response:
# A model may still print tool-shaped output after the
# schemas were removed. It must not trigger the upstream
# hard-error path or another execution attempt.
if force_final_response and tool_calls:
# Some local models still emit one more function-shaped
# request after schemas were removed. Discard that
# invisible attempt and grant exactly one clean,
# tool-less synthesis retry. This is bounded and cannot
# execute another function.
tool_calls.clear()
output = []
retry_form_data = {
**new_form_data,
'messages': [
*new_form_data['messages'],
{
'role': 'user',
'content': (
'Your previous synthesis attempt was not '
'visible because it looked like another '
'function call. Tools are no longer available. '
'Write the final human-readable answer now, '
'starting immediately with the conclusion.'
),
},
],
}
retry_res = await generate_chat_completion(
request,
retry_form_data,
user,
bypass_system_prompt=True,
)
if isinstance(retry_res, StreamingResponse):
await stream_body_handler(retry_res, retry_form_data)
# Never let tool-shaped retry output re-enter execution.
tool_calls.clear()
output[:] = [
item
for item in output
if item.get('type') != 'function_call'
]
elif force_final_response:
tool_calls.clear()
output[:0] = prior_output
"""