mirror of
https://github.com/open-webui/open-webui.git
synced 2026-10-10 03:27:57 +00:00
add backend components, strip out translation
This commit is contained in:
parent
4ef7e35b88
commit
369e008a7f
8 changed files with 334 additions and 2 deletions
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@ -2208,6 +2208,14 @@ CONTEXT_COMPACTION_RETENTION_PERCENTAGE = min(
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CONTEXT_COMPACTION_PROMPT_TEMPLATE = os.getenv('CONTEXT_COMPACTION_PROMPT_TEMPLATE', '')
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ENABLE_TOOL_SEARCH = os.getenv('ENABLE_TOOL_SEARCH', 'False').lower() == 'true'
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TOOL_SEARCH_DEFER_THRESHOLD = int(os.getenv('TOOL_SEARCH_DEFER_THRESHOLD', '400'))
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TOOL_SEARCH_ALWAYS_LOADED = [
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item.strip() for item in os.getenv('TOOL_SEARCH_ALWAYS_LOADED', '').split(',') if item.strip()
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]
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TITLE_GENERATION_PROMPT_TEMPLATE = os.getenv('TITLE_GENERATION_PROMPT_TEMPLATE', '')
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DEFAULT_TITLE_GENERATION_PROMPT_TEMPLATE = """### Task:
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@ -3139,6 +3147,9 @@ DEFAULT_CONFIG = {
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'chat.context_compaction.retention_percentage': CONTEXT_COMPACTION_RETENTION_PERCENTAGE,
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'chat.context_compaction.prompt_template': CONTEXT_COMPACTION_PROMPT_TEMPLATE,
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'chat.tool_permissions.enable': ENABLE_TOOL_PERMISSIONS,
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'chat.tool_search.enable': ENABLE_TOOL_SEARCH,
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'chat.tool_search.defer_threshold': TOOL_SEARCH_DEFER_THRESHOLD,
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'chat.tool_search.always_loaded': TOOL_SEARCH_ALWAYS_LOADED,
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'task.title.prompt_template': TITLE_GENERATION_PROMPT_TEMPLATE,
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'task.tags.prompt_template': TAGS_GENERATION_PROMPT_TEMPLATE,
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'task.image.prompt_template': IMAGE_PROMPT_GENERATION_PROMPT_TEMPLATE,
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@ -56,6 +56,9 @@ CHAT_CONFIG_KEYS = {
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'CONTEXT_COMPACTION_RETENTION_PERCENTAGE': 'chat.context_compaction.retention_percentage',
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'CONTEXT_COMPACTION_PROMPT_TEMPLATE': 'chat.context_compaction.prompt_template',
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'ENABLE_TOOL_PERMISSIONS': 'chat.tool_permissions.enable',
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'ENABLE_TOOL_SEARCH': 'chat.tool_search.enable',
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'TOOL_SEARCH_DEFER_THRESHOLD': 'chat.tool_search.defer_threshold',
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'TOOL_SEARCH_ALWAYS_LOADED': 'chat.tool_search.always_loaded',
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}
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@ -165,6 +168,9 @@ class ChatConfigForm(BaseModel):
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CONTEXT_COMPACTION_RETENTION_PERCENTAGE: int = 40
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CONTEXT_COMPACTION_PROMPT_TEMPLATE: str
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ENABLE_TOOL_PERMISSIONS: bool = False
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ENABLE_TOOL_SEARCH: bool = False
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TOOL_SEARCH_DEFER_THRESHOLD: int = 400
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TOOL_SEARCH_ALWAYS_LOADED: list[str] = []
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class CompactChatForm(BaseModel):
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@ -845,6 +851,7 @@ async def set_chat_config(form_data: ChatConfigForm, user=Depends(get_admin_user
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threshold = max(1, int(form_data.CONTEXT_COMPACTION_TOKEN_THRESHOLD))
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token_cap = max(1, int(form_data.CONTEXT_COMPACTION_TOKEN_CAP or threshold))
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retention_percentage = min(50, max(10, int(form_data.CONTEXT_COMPACTION_RETENTION_PERCENTAGE)))
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tool_search_defer_threshold = max(0, int(form_data.TOOL_SEARCH_DEFER_THRESHOLD))
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await Config.upsert(
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chat_config_updates(
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{
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@ -853,6 +860,7 @@ async def set_chat_config(form_data: ChatConfigForm, user=Depends(get_admin_user
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'CONTEXT_COMPACTION_TOKEN_THRESHOLD': threshold,
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'CONTEXT_COMPACTION_TOKEN_CAP': token_cap,
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'CONTEXT_COMPACTION_RETENTION_PERCENTAGE': retention_percentage,
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'TOOL_SEARCH_DEFER_THRESHOLD': tool_search_defer_threshold,
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}
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)
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)
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@ -3548,6 +3548,45 @@ async def view_skill(
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return JSONCodec.dumps({'error': str(e)})
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# =============================================================================
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# TOOL SEARCH
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# =============================================================================
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async def search_tools(
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query: str,
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limit: int = 5,
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__metadata__: dict = None,
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) -> str:
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"""
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Search the tools listed in <available_tools> and load the matches so you can call them in your next step.
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Pass the exact tool name when you already know it.
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:param query: Keywords describing the capability you need (e.g. "jira create issue"), or an exact tool name
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:param limit: Maximum number of tools to load (default 5, max 20)
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:return: JSON with the names of the loaded tools
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"""
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from open_webui.utils.tool_search import mark_tools_loaded, search_deferred_tools
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metadata = __metadata__ or {}
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state = metadata.get('tool_search')
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if not state:
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return JSONCodec.dumps({'error': 'Tool search is not active for this request'})
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try:
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tools = metadata['tools']
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matches = search_deferred_tools(query, {name: tools[name]['spec'] for name in state['deferred']}, limit)
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mark_tools_loaded(metadata, matches)
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if not matches:
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return JSONCodec.dumps(
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{'loaded': [], 'message': 'No matching tools found. Try different keywords or the exact tool name.'}
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)
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return JSONCodec.dumps({'loaded': matches})
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except Exception as e:
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log.exception(f'search_tools error: {e}')
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return JSONCodec.dumps({'error': str(e)})
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# =============================================================================
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# TASK MANAGEMENT TOOLS
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# =============================================================================
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@ -142,6 +142,15 @@ from open_webui.utils.task import (
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rag_template,
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tools_function_calling_generation_template,
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)
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from open_webui.utils.tool_search import (
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SEARCH_TOOL_NAME,
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build_deferred_tools_manifest,
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collect_called_tool_names,
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get_tool_search_config,
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mark_tools_loaded,
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rebuild_tools_payload,
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select_deferred_tools,
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)
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from open_webui.utils.tools import (
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build_tool_server_headers,
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get_attached_knowledge,
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@ -2921,6 +2930,8 @@ async def process_chat_payload(request, form_data, user, metadata, model):
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log.debug('tool_ids=%r', tool_ids)
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log.debug('direct_tool_servers=%r', direct_tool_servers)
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tool_search_config = await get_tool_search_config()
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tools_dict = {}
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mcp_clients = {}
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@ -3093,6 +3104,8 @@ async def process_chat_payload(request, form_data, user, metadata, model):
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**extra_params,
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'__event_emitter__': event_emitter,
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'__skill_ids__': view_skill_ids,
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'__tool_search__': tool_search_config['enable']
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and metadata.get('params', {}).get('function_calling') != 'legacy',
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},
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features,
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model,
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@ -3152,12 +3165,33 @@ async def process_chat_payload(request, form_data, user, metadata, model):
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metadata['tools'] = tools_dict
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if metadata.get('params', {}).get('function_calling') != 'legacy':
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# Tool search: withhold large schemas from the provider and let the
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# model load them on demand via the search_tools builtin.
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if tools_dict.get(SEARCH_TOOL_NAME, {}).get('type') == 'builtin':
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deferred = select_deferred_tools(tools_dict, tool_search_config)
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if deferred:
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metadata['tool_search'] = {
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'deferred': deferred,
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# Tools called earlier in this conversation stay loaded.
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'loaded': sorted(set(deferred) & collect_called_tool_names(form_data['messages'])),
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'extra_tools': inlet_filter_tools or [],
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}
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form_data['messages'] = add_or_update_system_message(
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build_deferred_tools_manifest(tools_dict, deferred),
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form_data['messages'],
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append=True,
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)
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else:
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# Nothing to defer, so behave as if tool search were off.
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tools_dict.pop(SEARCH_TOOL_NAME)
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# If the function calling is native, then call the tools function calling handler
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form_data['tools'] = [
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{'type': 'function', 'function': tool.get('spec', {})} for tool in tools_dict.values()
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]
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if inlet_filter_tools:
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form_data['tools'].extend(inlet_filter_tools)
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rebuild_tools_payload(form_data, metadata)
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else:
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# If the function calling is not native, then call the tools function calling handler
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try:
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@ -3468,6 +3502,11 @@ async def drain_approved_tool_calls(request, form_data, user, model, metadata) -
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)
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changed = True
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if changed and metadata.get('tool_search'):
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# Approved deferred tools must reach the provider on the next request.
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mark_tools_loaded(metadata, [item.get('name', '') for item in approved_calls])
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rebuild_tools_payload(form_data, metadata)
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if changed:
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result_call_ids = {
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item.get('call_id') for item in output if item.get('type') == 'function_call_output' and item.get('call_id')
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@ -6034,6 +6073,13 @@ async def streaming_chat_response_handler(response, ctx):
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)
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)
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# A deferred tool called straight from the manifest still runs (it is in
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# metadata['tools']); mark it loaded so its schema is sent next iteration.
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mark_tools_loaded(
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metadata,
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[tool_call.get('function', {}).get('name', '') for tool_call in response_tool_calls],
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)
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for tool_call in response_tool_calls:
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tool_call_id = tool_call.get('id', '')
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tool_function_name = tool_call.get('function', {}).get('name', '')
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@ -6222,6 +6268,8 @@ async def streaming_chat_response_handler(response, ctx):
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'stream': True,
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'metadata': metadata,
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}
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# Tool search: include tools loaded during this iteration.
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rebuild_tools_payload(new_form_data, metadata)
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if ENABLE_RESPONSES_API_STATEFUL and last_response_id:
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system_message = get_system_message(form_data['messages'])
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162
backend/open_webui/utils/tool_search.py
Normal file
162
backend/open_webui/utils/tool_search.py
Normal file
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@ -0,0 +1,162 @@
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"""
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Tool search / lazy tool loading.
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Large tool schemas are withheld from the provider `tools` array and listed in a
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compact `<available_tools>` manifest instead. The model loads them on demand
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through the `search_tools` builtin. Per-request state lives on `metadata`:
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metadata['tool_search'] = {
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'deferred': [tool names withheld from the provider],
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'loaded': [deferred names that have since been loaded],
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'extra_tools': [tools added by filter inlets, always sent],
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}
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"""
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import fnmatch
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import re
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from rank_bm25 import BM25Okapi
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from open_webui.models.config import Config
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from open_webui.utils.json_codec import JSONCodec
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SEARCH_TOOL_NAME = 'search_tools'
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MANIFEST_DESCRIPTION_MAX_CHARS = 100
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MAX_SEARCH_LIMIT = 20
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DEFAULT_SEARCH_LIMIT = 5
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async def get_tool_search_config() -> dict:
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values = await Config.get_many(
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'chat.tool_search.enable',
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'chat.tool_search.defer_threshold',
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'chat.tool_search.always_loaded',
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)
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return {
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'enable': bool(values.get('chat.tool_search.enable', False)),
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'defer_threshold': _to_int(values.get('chat.tool_search.defer_threshold'), 400),
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'always_loaded': values.get('chat.tool_search.always_loaded') or [],
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}
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def _to_int(value, default: int) -> int:
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try:
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return int(value)
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except (TypeError, ValueError):
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return default
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def select_deferred_tools(tools_dict: dict[str, dict], config: dict) -> list[str]:
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"""Sorted names of non-builtin tools whose schema exceeds the threshold and is not always loaded."""
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patterns = config['always_loaded']
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return sorted(
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name
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for name, tool in tools_dict.items()
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if tool.get('type') != 'builtin'
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and not any(fnmatch.fnmatchcase(name, pattern) for pattern in patterns)
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and len(JSONCodec.dumps(tool.get('spec') or {})) > config['defer_threshold']
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)
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def _truncate_description(description: str | None) -> str:
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text = ' '.join(str(description or '').split())
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if len(text) > MANIFEST_DESCRIPTION_MAX_CHARS:
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text = text[: MANIFEST_DESCRIPTION_MAX_CHARS - 1].rstrip() + '…'
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return text
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def build_deferred_tools_manifest(tools_dict: dict[str, dict], deferred: list[str]) -> str:
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"""System prompt block listing every deferred tool (mirrors <available_skills>).
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Loaded tools stay listed so the block is identical across turns and provider prompt caches hold.
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"""
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entries = ''
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for name in deferred:
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description = _truncate_description(tools_dict[name].get('spec', {}).get('description'))
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entries += f'<tool>\n<name>{name}</name>\n<description>{description}</description>\n</tool>\n'
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return (
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'<available_tools>\n'
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'The following tools are available but their definitions are not loaded. '
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f'To use one, call `{SEARCH_TOOL_NAME}` with a short keyword query or the exact tool name; '
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'matching tools become callable immediately afterwards. '
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'Never tell the user a capability is unavailable without searching first.\n'
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f'{entries}</available_tools>'
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)
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def build_tools_payload(tools_dict: dict[str, dict], deferred, loaded, extra: list | None = None) -> list[dict]:
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"""OpenAI `tools` array: every tool that is not deferred, plus deferred tools that are loaded, plus extras."""
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deferred_set = set(deferred) - set(loaded)
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tools = [
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{'type': 'function', 'function': tool.get('spec', {})}
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for name, tool in tools_dict.items()
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if name not in deferred_set
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]
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if extra:
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tools.extend(extra)
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return tools
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_SPLIT_RE = re.compile(r'[^0-9a-zA-Z]+')
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_CAMEL_RE = re.compile(r'(?<=[a-z0-9])(?=[A-Z])|(?<=[A-Z])(?=[A-Z][a-z])')
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def tokenize(text: str | None) -> list[str]:
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"""Lowercase tokens split on non-alphanumerics and camelCase boundaries."""
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return [part.lower() for chunk in _SPLIT_RE.split(text or '') for part in _CAMEL_RE.split(chunk) if part]
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def _document_text(name: str, spec: dict) -> str:
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properties = (spec.get('parameters') or {}).get('properties') or {}
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return ' '.join([name, str(spec.get('description') or ''), *properties.keys()])
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def search_deferred_tools(query: str, candidates: dict[str, dict], limit: int = DEFAULT_SEARCH_LIMIT) -> list[str]:
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"""Rank candidate tools (name -> spec) against the query; an exact tool name wins outright."""
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query = (query or '').strip()
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if query in candidates:
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return [query]
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query_tokens = tokenize(query)
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if not candidates or not query_tokens:
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return []
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names = list(candidates)
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documents = [tokenize(_document_text(name, candidates[name])) or ['_'] for name in names]
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# BM25 IDF is zero for a term found in half the corpus, common with small tool sets,
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# so raw token overlap keeps every matching term rankable.
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bm25 = BM25Okapi(documents).get_scores(query_tokens)
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scores = {
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name: max(0.0, float(bm25[index])) + len(set(query_tokens) & set(documents[index]))
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for index, name in enumerate(names)
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}
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ranked = sorted((name for name in names if scores[name] > 0), key=lambda name: (-scores[name], name))
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return ranked[: max(1, min(_to_int(limit, DEFAULT_SEARCH_LIMIT), MAX_SEARCH_LIMIT))]
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def collect_called_tool_names(messages: list[dict]) -> set[str]:
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"""Tools the conversation already called, so they stay loaded on later turns."""
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return {
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(tool_call.get('function') or {}).get('name')
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for message in messages
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if message.get('role') == 'assistant'
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for tool_call in message.get('tool_calls') or []
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}
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def mark_tools_loaded(metadata: dict, names: list[str]) -> None:
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"""Record deferred tools as loaded on metadata['tool_search']; no-op when tool search is inactive."""
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state = metadata.get('tool_search')
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if state:
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state['loaded'] = sorted(set(state['loaded']) | (set(names) & set(state['deferred'])))
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def rebuild_tools_payload(form_data: dict, metadata: dict) -> None:
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"""Refresh form_data['tools'] from metadata when tool search is active; no-op otherwise."""
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state = metadata.get('tool_search')
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if state:
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form_data['tools'] = build_tools_payload(
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metadata['tools'], state['deferred'], state['loaded'], state['extra_tools']
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)
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@ -84,6 +84,7 @@ from open_webui.tools.builtin import (
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search_knowledge_files,
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search_memories,
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search_notes,
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search_tools,
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search_web,
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timer,
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toggle_automation,
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@ -736,6 +737,10 @@ async def get_builtin_tools(
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if extra_params.get('__skill_ids__'):
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builtin_functions.append(view_skill)
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# Tool search - lets the model load deferred (large-schema) tools on demand
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if extra_params.get('__tool_search__'):
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builtin_functions.append(search_tools)
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# Task management - break down complex work into trackable steps
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# Task state is stored on the chats row; local/channel IDs do not have one.
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if is_builtin_tool_enabled('tasks') and is_saved_chat_id(metadata.get('chat_id')):
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|
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@ -50,7 +50,10 @@
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CONTEXT_COMPACTION_TOKEN_CAP: 80000,
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CONTEXT_COMPACTION_RETENTION_PERCENTAGE: 40,
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CONTEXT_COMPACTION_PROMPT_TEMPLATE: '',
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ENABLE_TOOL_PERMISSIONS: false
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ENABLE_TOOL_PERMISSIONS: false,
|
||||
ENABLE_TOOL_SEARCH: false,
|
||||
TOOL_SEARCH_DEFER_THRESHOLD: 400,
|
||||
TOOL_SEARCH_ALWAYS_LOADED: ''
|
||||
};
|
||||
let showTaskParameters = false;
|
||||
|
||||
|
|
@ -69,8 +72,14 @@
|
|||
|
||||
[taskConfig, chatConfig] = await Promise.all([
|
||||
updateTaskConfig(localStorage.token, taskConfigPayload),
|
||||
updateChatConfig(localStorage.token, chatConfig)
|
||||
updateChatConfig(localStorage.token, {
|
||||
...chatConfig,
|
||||
TOOL_SEARCH_ALWAYS_LOADED: chatConfig.TOOL_SEARCH_ALWAYS_LOADED.split(',')
|
||||
.map((item) => item.trim())
|
||||
.filter((item) => item !== '')
|
||||
})
|
||||
]);
|
||||
chatConfig.TOOL_SEARCH_ALWAYS_LOADED = (chatConfig.TOOL_SEARCH_ALWAYS_LOADED ?? []).join(', ');
|
||||
appConfig.update((current) =>
|
||||
current
|
||||
? {
|
||||
|
|
@ -123,6 +132,9 @@
|
|||
getChatConfig(localStorage.token)
|
||||
]);
|
||||
taskConfig.TASK_MODEL_PARAMS = taskConfig.TASK_MODEL_PARAMS ?? {};
|
||||
chatConfig.TOOL_SEARCH_ALWAYS_LOADED = (chatConfig.TOOL_SEARCH_ALWAYS_LOADED ?? []).join(
|
||||
', '
|
||||
);
|
||||
|
||||
workspaceModels = await getBaseModels(localStorage.token);
|
||||
baseModels = await getModels(localStorage.token, null, false);
|
||||
|
|
@ -362,6 +374,46 @@
|
|||
</div>
|
||||
</AdminSettingField>
|
||||
{/if}
|
||||
|
||||
<AdminSettingRow
|
||||
label={$i18n.t('settings.admin.interface.toolSearch.label')}
|
||||
description={$i18n.t('settings.admin.interface.toolSearch.description')}
|
||||
let:labelId
|
||||
>
|
||||
<div slot="label" class="flex items-center gap-2">
|
||||
<span>{$i18n.t('settings.admin.interface.toolSearch.label')}</span>
|
||||
<ExperimentalBadge />
|
||||
</div>
|
||||
<Switch bind:state={chatConfig.ENABLE_TOOL_SEARCH} ariaLabelledbyId={labelId} />
|
||||
</AdminSettingRow>
|
||||
|
||||
{#if chatConfig.ENABLE_TOOL_SEARCH}
|
||||
<AdminSettingField
|
||||
label={$i18n.t('settings.admin.interface.toolSearchThreshold.label')}
|
||||
description={$i18n.t('settings.admin.interface.toolSearchThreshold.description')}
|
||||
>
|
||||
<input
|
||||
type="number"
|
||||
min="0"
|
||||
step="1"
|
||||
class={inputClass}
|
||||
bind:value={chatConfig.TOOL_SEARCH_DEFER_THRESHOLD}
|
||||
/>
|
||||
</AdminSettingField>
|
||||
|
||||
<AdminSettingField
|
||||
label={$i18n.t('settings.admin.interface.toolSearchAlwaysLoaded.label')}
|
||||
description={$i18n.t('settings.admin.interface.toolSearchAlwaysLoaded.description')}
|
||||
>
|
||||
<input
|
||||
class={inputClass}
|
||||
type="text"
|
||||
placeholder={$i18n.t('settings.admin.interface.toolSearchAlwaysLoaded.placeholder')}
|
||||
bind:value={chatConfig.TOOL_SEARCH_ALWAYS_LOADED}
|
||||
autocomplete="off"
|
||||
/>
|
||||
</AdminSettingField>
|
||||
{/if}
|
||||
</AdminSettingSection>
|
||||
|
||||
<AdminSettingSection title={$i18n.t('settings.admin.interface.sections.generation.title')}>
|
||||
|
|
|
|||
|
|
@ -2534,6 +2534,13 @@
|
|||
"settings.admin.interface.tokenThreshold.label": "Token Threshold",
|
||||
"settings.admin.interface.toolPermissions.description": "Show Full access and Ask for approval in the chat input menu.",
|
||||
"settings.admin.interface.toolPermissions.label": "Tool Permissions",
|
||||
"settings.admin.interface.toolSearch.description": "Withhold large tool definitions from the request and let the model load them on demand. Reduces prompt size when many tools are enabled.",
|
||||
"settings.admin.interface.toolSearch.label": "Tool Search",
|
||||
"settings.admin.interface.toolSearchAlwaysLoaded.description": "Comma-separated tool names or glob patterns that are never deferred.",
|
||||
"settings.admin.interface.toolSearchAlwaysLoaded.label": "Always Loaded Tools",
|
||||
"settings.admin.interface.toolSearchAlwaysLoaded.placeholder": "e.g. jira_create_issue, github_*",
|
||||
"settings.admin.interface.toolSearchThreshold.description": "Tools whose definition is longer than this many characters are deferred.",
|
||||
"settings.admin.interface.toolSearchThreshold.label": "Deferral Threshold (characters)",
|
||||
"settings.admin.interface.toolsFunctionCallingPrompt.description": "Guides how the assistant formats tool and function calls.",
|
||||
"settings.admin.interface.toolsFunctionCallingPrompt.label": "Tools Function Calling Prompt",
|
||||
"settings.admin.interface.voiceModePrompt.description": "Apply voice-specific instructions while voice mode is active.",
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue