Files
Classic298 80478abea1 fix: assistant messages with only tool calls are sent with an empty string instead of null (#34265)
When an assistant message has tool calls but no text, the OpenAI Chat Completions format uses `content: null`, since content is optional next to tool calls and OpenAI's own API returns null there. Open WebUI sent an empty string in two places: when replaying earlier tool calls from the chat history, and when converting requests from clients that use its Anthropic-compatible endpoint. For Claude models, LiteLLM 1.81.14 through 1.108.x replaces that empty string with "[System: Empty message content sanitised to satisfy protocol]", and the model then repeats that line in its replies (LiteLLM 1.109 and later leave the empty text out instead). These messages now go out with null content, which OpenAI and every provider tested on OpenRouter (Gemini, Claude, DeepSeek, Qwen, Mistral, Llama, Kimi and Grok) accept.

Fixes #34264
2026-11-13 18:26:08 +09:00

614 lines
21 KiB
Python

from __future__ import annotations
import asyncio
import logging
import re
from typing import Any
from fastapi import HTTPException
from open_webui.models.config import Config
from open_webui.models.memories import Memories
from open_webui.utils.access_control import has_permission
from open_webui.utils.json_codec import JSONCodec
from open_webui.utils.misc import get_content_from_message, get_last_user_message_item
log = logging.getLogger(__name__)
MEMORY_CONTEXT_OPEN = '<memory_context>'
MEMORY_CONTEXT_CLOSE = '</memory_context>'
def clean_memory_content(content: str | None) -> str:
value = (content or '').strip()
if not value:
raise HTTPException(status_code=400, detail='Memory content cannot be empty')
return value
def clean_memory_path(path: str | None) -> str | None:
value = re.sub(r'/+', '/', (path or '').strip().strip('/'))
if not value:
return None
parts = value.split('/')
if any(part in {'', '.', '..'} for part in parts) or any(ord(char) < 32 for char in value):
raise HTTPException(status_code=400, detail='Invalid memory path')
return value
def memory_vector_text(content: str, path: str | None = None) -> str:
path = clean_memory_path(path)
return f'{path}\n{content}' if path else content
def memory_label(memory) -> str:
return f'{memory.path}: {memory.content}' if memory.path else memory.content
def _path_parts(path: str | None) -> list[str]:
return [part for part in (path or '').split('/') if part]
def _parent_path(path: str | None) -> str | None:
parts = _path_parts(path)
return '/'.join(parts[:-1]) if len(parts) > 1 else None
def _path_rank(memory_path: str | None, lookup_path: str | None) -> tuple | None:
if not lookup_path:
return None
memory_path = clean_memory_path(memory_path)
lookup_path = clean_memory_path(lookup_path)
if not memory_path or not lookup_path:
return None
if memory_path == lookup_path:
return (0, 0)
if memory_path.startswith(f'{lookup_path}/'):
return (1, len(_path_parts(memory_path)) - len(_path_parts(lookup_path)))
if lookup_path.startswith(f'{memory_path}/'):
return (2, len(_path_parts(lookup_path)) - len(_path_parts(memory_path)))
if _parent_path(memory_path) and _parent_path(memory_path) == _parent_path(lookup_path):
return (3, 0)
memory_parts = set(_path_parts(memory_path))
lookup_parts = set(_path_parts(lookup_path))
shared = len(memory_parts & lookup_parts)
if shared:
return (4, -shared)
if _path_parts(memory_path)[-1:] == _path_parts(lookup_path)[-1:]:
return (5, 0)
return None
def _memory_matches_query(memory, query: str) -> bool:
value = query.strip().lower()
if not value:
return True
return value in (memory.content or '').lower() or value in (memory.path or '').lower()
def search_memory_rows(
memories: list,
*,
query: str | None = None,
path: str | None = None,
memory_id: str | None = None,
memory_type: str = 'all',
limit: int = 20,
) -> list:
rows = list(memories or [])
if memory_id:
rows = [memory for memory in rows if memory.id == memory_id]
if memory_type != 'all':
rows = [memory for memory in rows if memory.type == memory_type]
query = (query or '').strip()
lookup_path = clean_memory_path(path)
if lookup_path:
basename = _path_parts(lookup_path)[-1] if _path_parts(lookup_path) else lookup_path
def related(memory) -> bool:
rank = _path_rank(memory.path, lookup_path)
if rank is not None:
return True
haystack = f'{memory.path or ""}\n{memory.content or ""}'.lower()
return lookup_path.lower() in haystack or basename.lower() in haystack
rows = [memory for memory in rows if related(memory)]
if query:
rows = [memory for memory in rows if _memory_matches_query(memory, query)]
def sort_key(memory):
rank = _path_rank(memory.path, lookup_path) if lookup_path else None
return rank if rank is not None else (9, 0), -(memory.updated_at or 0), memory.id or ''
return sorted(rows, key=sort_key)[: max(1, min(limit or 20, 100))]
def list_memory_path_groups(
memories: list,
*,
query: str = '',
memory_type: str = 'all',
limit: int = 100,
) -> dict:
rows = [
memory
for memory in (memories or [])
if (memory_type == 'all' or memory.type == memory_type) and _memory_matches_query(memory, query)
]
grouped: dict[tuple[str | None, str], dict] = {}
for memory in rows:
key = (memory.path, memory.type)
group = grouped.setdefault(
key,
{
'path': memory.path,
'type': memory.type,
'count': 0,
'updated_at': 0,
'children': [],
},
)
group['count'] += 1
group['updated_at'] = max(group['updated_at'], memory.updated_at or 0)
paths = [path for path, _ in grouped if path]
for group in grouped.values():
path = group['path']
if not path:
continue
prefix = f'{path}/'
children = []
for candidate in paths:
if not candidate.startswith(prefix):
continue
remainder = candidate[len(prefix) :]
child = f'{prefix}{remainder.split("/", 1)[0]}'
if child not in children:
children.append(child)
group['children'] = children[:20]
groups = sorted(grouped.values(), key=lambda item: item['updated_at'], reverse=True)
return {'paths': groups[: max(1, min(limit or 100, 500))], 'count': len(groups)}
def read_memory_path_rows(
memories: list,
*,
path: str,
memory_type: str = 'all',
include_children: bool = True,
limit: int = 50,
) -> dict:
lookup_path = clean_memory_path(path)
if not lookup_path:
raise HTTPException(status_code=400, detail='Memory path is required')
rows = [memory for memory in (memories or []) if memory_type == 'all' or memory.type == memory_type]
path_set = {memory.path for memory in rows if memory.path}
parents = [
'/'.join(_path_parts(lookup_path)[:idx])
for idx in range(1, len(_path_parts(lookup_path)))
if '/'.join(_path_parts(lookup_path)[:idx]) in path_set
]
children = sorted(
{
f'{lookup_path}/{memory.path[len(lookup_path) + 1 :].split("/", 1)[0]}'
for memory in rows
if memory.path and memory.path.startswith(f'{lookup_path}/')
}
)
def selected(memory) -> bool:
if memory.path == lookup_path:
return True
if memory.path in parents:
return True
return bool(include_children and memory.path and memory.path.startswith(f'{lookup_path}/'))
selected_rows = [memory for memory in rows if selected(memory)]
def sort_key(memory):
if memory.path == lookup_path:
return (0, 0, -(memory.updated_at or 0), memory.id or '')
if memory.path and memory.path.startswith(f'{lookup_path}/'):
return (1, len(_path_parts(memory.path)), -(memory.updated_at or 0), memory.id or '')
return (2, -len(_path_parts(memory.path)), -(memory.updated_at or 0), memory.id or '')
return {
'path': lookup_path,
'parents': parents,
'children': children[:50],
'memories': sorted(selected_rows, key=sort_key)[: max(1, min(limit or 50, 100))],
}
def memory_path_hints(query: str, memories: list, limit: int = 6) -> list[str]:
lowered = (query or '').lower()
if not lowered:
return []
hints: list[str] = []
for memory in sorted(memories or [], key=lambda item: (item.path or '', item.content or '', item.id or '')):
path = memory.path
if not path or path in hints:
continue
parts = _path_parts(path)
last = parts[-1] if parts else path
if path.lower() in lowered or last.lower() in lowered:
hints.append(path)
elif any(len(part) >= 3 and part.lower() in lowered for part in parts):
hints.append(path)
if len(hints) >= limit:
break
return hints
def validate_memory_operations(form_data) -> list[dict]:
if not form_data.operations:
raise HTTPException(status_code=400, detail='No memory operations provided')
operations = []
for operation in form_data.operations:
op = operation.model_dump()
action = op.get('action')
if action == 'add':
op['content'] = clean_memory_content(op.get('content'))
op['type'] = Memories.normalize_memory_type(op.get('type'))
op['path'] = clean_memory_path(op.get('path'))
elif action == 'replace':
if not op.get('id'):
raise HTTPException(status_code=400, detail='Memory id is required for replace')
op['content'] = clean_memory_content(op.get('content'))
if op.get('type') is not None:
op['type'] = Memories.normalize_memory_type(op.get('type'))
op['path'] = clean_memory_path(op.get('path'))
elif action == 'move':
if not op.get('id'):
raise HTTPException(status_code=400, detail='Memory id is required for move')
op['path'] = clean_memory_path(op.get('path'))
elif action == 'remove':
if not op.get('id'):
raise HTTPException(status_code=400, detail='Memory id is required for remove')
else:
raise HTTPException(status_code=400, detail=f'Unsupported memory operation: {action}')
operations.append(op)
return operations
def model_allows_memory(model: dict | None) -> bool:
return ((model or {}).get('info', {}).get('meta', {}).get('capabilities') or {}).get('memory', True)
async def recall_memories(request, messages: list[dict], user, model: dict | None = None) -> str:
if not model_allows_memory(model):
return ''
target = get_last_user_message_item(messages)
if target is None:
return ''
user_messages = []
for message in reversed(messages):
if message.get('role') != 'user':
continue
content = get_content_from_message(message)
if isinstance(content, str) and content.strip():
user_messages.append(content.strip())
if len(user_messages) >= 7:
break
query = '\n\n'.join(reversed(user_messages))[-4000:]
if not query:
return ''
all_memories = await Memories.get_memories_by_user_id(user.id)
results = None
try:
from open_webui.routers.memories import QueryMemoryForm, query_memory
results = await query_memory(request, QueryMemoryForm(content=query, k=8), user)
except Exception as e:
log.debug(e)
sections = {'user': [], 'neighborhood': [], 'context': []}
seen_ids = set()
for memory in sorted(
[memory for memory in (all_memories or []) if memory.type == 'user'],
key=lambda item: (item.path or '', item.updated_at or 0, item.id or ''),
):
seen_ids.add(memory.id)
sections['user'].append(memory_label(memory))
for hint in memory_path_hints(query, all_memories):
for memory in search_memory_rows(
all_memories,
path=hint,
memory_type='context',
limit=4,
):
if memory.id in seen_ids:
continue
seen_ids.add(memory.id)
sections['neighborhood'].append(memory_label(memory))
if results and hasattr(results, 'documents') and results.documents:
for doc_idx, doc in enumerate(results.documents[0]):
if not doc:
continue
metadata = {}
if results.metadatas and results.metadatas[0] and len(results.metadatas[0]) > doc_idx:
metadata = results.metadatas[0][doc_idx] or {}
memory_id = None
if results.ids and results.ids[0] and len(results.ids[0]) > doc_idx:
memory_id = results.ids[0][doc_idx]
if memory_id and memory_id in seen_ids:
continue
if memory_id:
seen_ids.add(memory_id)
content = str(doc)
if metadata.get('path') and content.startswith(f'{metadata.get("path")}\n'):
content = content[len(metadata.get('path')) + 1 :]
label = f'{metadata.get("path")}: {content}' if metadata.get('path') else content
sections[Memories.normalize_memory_type(metadata.get('type'))].append(label)
parts = []
for title, key in (
('User Memory', 'user'),
('Memory Neighborhood', 'neighborhood'),
('Relevant Context', 'context'),
):
if sections[key]:
ordered = sorted(sections[key], key=lambda memory: (memory.casefold(), memory))
parts.append(f'[{title}]\n' + '\n'.join(f'- {memory}' for memory in ordered))
if not parts:
return ''
config = await Config.get_many('memories.user_char_limit', 'memories.context_char_limit')
try:
user_limit = max(250, int(config.get('memories.user_char_limit') or 2000))
except Exception:
user_limit = 2000
try:
context_limit = max(250, int(config.get('memories.context_char_limit') or 2000))
except Exception:
context_limit = 2000
user_parts = [part for part in parts if part.startswith('[User Memory]')]
context_parts = [part for part in parts if not part.startswith('[User Memory]')]
rendered = '\n\n'.join(
[
'\n\n'.join(user_parts)[:user_limit],
'\n\n'.join(context_parts)[:context_limit],
]
).strip()
if not rendered:
return ''
return f'{MEMORY_CONTEXT_OPEN}\n{rendered}\n{MEMORY_CONTEXT_CLOSE}'
async def add_memory_context(request, form_data: dict, user, model: dict | None = None):
context = await recall_memories(request, form_data.get('messages', []), user, model)
target = get_last_user_message_item(form_data.get('messages', []))
if context and target is not None:
content = target.get('content') or ''
target['content'] = (
[*content, {'type': 'text', 'text': context}] if isinstance(content, list) else f'{content}\n{context}'
)
return form_data
async def review_memory_after_turn(
*,
request,
user,
model: dict | None,
metadata: dict,
form_data: dict,
assistant_message: dict,
messages: list[dict],
) -> None:
if not model_allows_memory(model):
return
features = metadata.get('features') or {}
if not features.get('memory'):
return
assistant_content = get_content_from_message(assistant_message)
if not isinstance(assistant_content, str) or not assistant_content.strip():
return
config = await Config.get_many(
'memories.enable',
'memories.background_review.enable',
'memories.review_interval_turns',
'user.permissions',
)
if not config.get('memories.enable') or not config.get('memories.background_review.enable'):
return
try:
interval = max(1, int(config.get('memories.review_interval_turns', 10)))
except Exception:
interval = 10
user_turns = len([message for message in messages if message.get('role') == 'user'])
if user_turns == 0 or user_turns % interval != 0:
return
# features is client-supplied; re-check the permission the memory routes enforce.
if user.role != 'admin' and not await has_permission(user.id, 'features.memories', config.get('user.permissions')):
return
task = asyncio.create_task(
_review_memory(
request=request,
user=user,
model=model,
metadata=metadata,
form_data=form_data,
assistant_message=assistant_message,
messages=messages,
)
)
def log_failure(done_task):
try:
done_task.result()
except Exception as e:
log.debug('Memory review failed: %s', e)
task.add_done_callback(log_failure)
async def _review_memory(
*,
request,
user,
model: dict | None,
metadata: dict,
form_data: dict,
assistant_message: dict,
messages: list[dict],
) -> None:
existing_memories = await Memories.get_memories_by_user_id(user.id)
existing_lines = [
f'- id={memory.id} type={memory.type} path={memory.path or ""} content={memory.content}'
for memory in (existing_memories or [])[:80]
]
assistant_content = get_content_from_message(assistant_message)
if not isinstance(assistant_content, str):
assistant_content = ''
transcript_lines = []
for message in messages[-16:]:
role = message.get('role', '')
content = message.get('content', '')
if not isinstance(content, str):
content = get_content_from_message(message) or ''
content = content.strip()
if role not in {'user', 'assistant'} or not content:
continue
if len(content) > 1600:
content = f'{content[:1000]}\n...(truncated)...\n{content[-400:]}'
transcript_lines.append(f'{role}: {content}')
if assistant_content.strip():
assistant_final = assistant_content.strip()
if len(assistant_final) > 1600:
assistant_final = f'{assistant_final[:1000]}\n...(truncated)...\n{assistant_final[-400:]}'
transcript_lines.append(f'assistant_final: {assistant_final}')
model_id = model.get('id') if isinstance(model, dict) else form_data.get('model')
operations = await _generate_memory_operations(
request=request,
user=user,
model_id=model_id,
metadata=metadata,
existing_text='\n'.join(existing_lines) if existing_lines else '(none)',
transcript='\n\n'.join(transcript_lines),
)
if operations:
from open_webui.routers.memories import UpdateMemoriesForm, update_memories
await update_memories(request, UpdateMemoriesForm(operations=operations, source='background_review'), user)
async def _generate_memory_operations(
*,
request,
user,
model_id: str,
metadata: dict,
existing_text: str,
transcript: str,
) -> list[dict[str, Any]]:
from open_webui.utils.chat import generate_chat_completion
review_prompt = f"""Review the completed conversation turn and decide whether long-term memory should change.
Memory types:
- user: durable facts, preferences, or instructions about the user.
- context: other durable context that may help future chats for this user account.
Rules:
- Save enduring details that can improve future conversations.
- Do not save one-off activity, meals, temporary mood, routine daily events, or other short-lived details unless the user explicitly asks to remember them.
- Do not save secrets, credentials, transient task steps, or unsupported guesses.
- Use path when there is a clear path for the memory.
- Leave path empty when there is no clear place for the memory.
- Prefer replace/move/remove over duplicate add when an existing memory should change.
- Do not invent type, status, trait, score, importance, or stability schemas.
- Return only JSON in this shape:
{{"operations":[
{{"action":"add","type":"user|context","path":"...","content":"..."}},
{{"action":"replace","id":"...","type":"user|context","path":"...","content":"..."}},
{{"action":"move","id":"...","path":"..."}},
{{"action":"remove","id":"..."}}
]}}
- Use an empty operations array if nothing should be remembered.
Existing memories:
{existing_text}
Conversation:
{transcript}
"""
response = await generate_chat_completion(
request,
form_data={
'model': model_id,
'messages': [
{
'role': 'system',
# LICENSE covers this Open WebUI system identifier.
# Do not alter, remove, obscure, or replace it except as LICENSE permits:
# https://docs.openwebui.com/license.
'content': "You are Open WebUI's private memory reviewer. Return only valid JSON.",
},
{'role': 'user', 'content': review_prompt},
],
'stream': False,
'metadata': {
'task': 'memory_review',
'chat_id': metadata.get('chat_id'),
'message_id': metadata.get('message_id'),
},
},
user=user,
)
if not isinstance(response, dict) or not response.get('choices'):
return []
response_message = response.get('choices', [{}])[0].get('message', {})
content = response_message.get('content') or response_message.get('reasoning_content') or ''
start = content.find('{')
end = content.rfind('}')
if start == -1 or end == -1 or end < start:
return []
try:
parsed = JSONCodec.loads(content[start : end + 1])
except Exception:
return []
operations = parsed.get('operations') if isinstance(parsed, dict) else None
return operations if isinstance(operations, list) else []