diff --git a/api/configs/middleware/__init__.py b/api/configs/middleware/__init__.py index 60ba272ec9..427602676f 100644 --- a/api/configs/middleware/__init__.py +++ b/api/configs/middleware/__init__.py @@ -223,6 +223,10 @@ class CeleryConfig(DatabaseConfig): default=None, ) + CELERY_SENTINEL_PASSWORD: Optional[str] = Field( + description="Password of the Redis Sentinel master.", + default=None, + ) CELERY_SENTINEL_SOCKET_TIMEOUT: Optional[PositiveFloat] = Field( description="Timeout for Redis Sentinel socket operations in seconds.", default=0.1, diff --git a/api/controllers/console/workspace/plugin.py b/api/controllers/console/workspace/plugin.py index 9bddbb4b4b..c0a4734828 100644 --- a/api/controllers/console/workspace/plugin.py +++ b/api/controllers/console/workspace/plugin.py @@ -13,6 +13,7 @@ from core.model_runtime.utils.encoders import jsonable_encoder from core.plugin.impl.exc import PluginDaemonClientSideError from libs.login import login_required from models.account import TenantPluginPermission +from services.plugin.plugin_parameter_service import PluginParameterService from services.plugin.plugin_permission_service import PluginPermissionService from services.plugin.plugin_service import PluginService @@ -497,6 +498,42 @@ class PluginFetchPermissionApi(Resource): ) +class PluginFetchDynamicSelectOptionsApi(Resource): + @setup_required + @login_required + @account_initialization_required + def get(self): + # check if the user is admin or owner + if not current_user.is_admin_or_owner: + raise Forbidden() + + tenant_id = current_user.current_tenant_id + user_id = current_user.id + + parser = reqparse.RequestParser() + parser.add_argument("plugin_id", type=str, required=True, location="args") + parser.add_argument("provider", type=str, required=True, location="args") + parser.add_argument("action", type=str, required=True, location="args") + parser.add_argument("parameter", type=str, required=True, location="args") + parser.add_argument("provider_type", type=str, required=True, location="args") + args = parser.parse_args() + + try: + options = PluginParameterService.get_dynamic_select_options( + tenant_id, + user_id, + args["plugin_id"], + args["provider"], + args["action"], + args["parameter"], + args["provider_type"], + ) + except PluginDaemonClientSideError as e: + raise ValueError(e) + + return jsonable_encoder({"options": options}) + + api.add_resource(PluginDebuggingKeyApi, "/workspaces/current/plugin/debugging-key") api.add_resource(PluginListApi, "/workspaces/current/plugin/list") api.add_resource(PluginListLatestVersionsApi, "/workspaces/current/plugin/list/latest-versions") @@ -521,3 +558,5 @@ api.add_resource(PluginFetchMarketplacePkgApi, "/workspaces/current/plugin/marke api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change") api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch") + +api.add_resource(PluginFetchDynamicSelectOptionsApi, "/workspaces/current/plugin/parameters/dynamic-options") diff --git a/api/controllers/inner_api/plugin/plugin.py b/api/controllers/inner_api/plugin/plugin.py index 41063b35a5..327e9ce834 100644 --- a/api/controllers/inner_api/plugin/plugin.py +++ b/api/controllers/inner_api/plugin/plugin.py @@ -17,6 +17,7 @@ from core.plugin.entities.request import ( RequestInvokeApp, RequestInvokeEncrypt, RequestInvokeLLM, + RequestInvokeLLMWithStructuredOutput, RequestInvokeModeration, RequestInvokeParameterExtractorNode, RequestInvokeQuestionClassifierNode, @@ -47,6 +48,21 @@ class PluginInvokeLLMApi(Resource): return length_prefixed_response(0xF, generator()) +class PluginInvokeLLMWithStructuredOutputApi(Resource): + @setup_required + @plugin_inner_api_only + @get_user_tenant + @plugin_data(payload_type=RequestInvokeLLMWithStructuredOutput) + def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestInvokeLLMWithStructuredOutput): + def generator(): + response = PluginModelBackwardsInvocation.invoke_llm_with_structured_output( + user_model.id, tenant_model, payload + ) + return PluginModelBackwardsInvocation.convert_to_event_stream(response) + + return length_prefixed_response(0xF, generator()) + + class PluginInvokeTextEmbeddingApi(Resource): @setup_required @plugin_inner_api_only @@ -291,6 +307,7 @@ class PluginFetchAppInfoApi(Resource): api.add_resource(PluginInvokeLLMApi, "/invoke/llm") +api.add_resource(PluginInvokeLLMWithStructuredOutputApi, "/invoke/llm/structured-output") api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding") api.add_resource(PluginInvokeRerankApi, "/invoke/rerank") api.add_resource(PluginInvokeTTSApi, "/invoke/tts") diff --git a/api/controllers/inner_api/workspace/workspace.py b/api/controllers/inner_api/workspace/workspace.py index a2fc2d4675..77568b75f1 100644 --- a/api/controllers/inner_api/workspace/workspace.py +++ b/api/controllers/inner_api/workspace/workspace.py @@ -29,7 +29,19 @@ class EnterpriseWorkspace(Resource): tenant_was_created.send(tenant) - return {"message": "enterprise workspace created."} + resp = { + "id": tenant.id, + "name": tenant.name, + "plan": tenant.plan, + "status": tenant.status, + "created_at": tenant.created_at.isoformat() + "Z" if tenant.created_at else None, + "updated_at": tenant.updated_at.isoformat() + "Z" if tenant.updated_at else None, + } + + return { + "message": "enterprise workspace created.", + "tenant": resp, + } class EnterpriseWorkspaceNoOwnerEmail(Resource): diff --git a/api/controllers/service_api/dataset/dataset.py b/api/controllers/service_api/dataset/dataset.py index 839afdb9fd..a499719fc3 100644 --- a/api/controllers/service_api/dataset/dataset.py +++ b/api/controllers/service_api/dataset/dataset.py @@ -133,6 +133,22 @@ class DatasetListApi(DatasetApiResource): parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json") args = parser.parse_args() + + if args.get("embedding_model_provider"): + DatasetService.check_embedding_model_setting( + tenant_id, args.get("embedding_model_provider"), args.get("embedding_model") + ) + if ( + args.get("retrieval_model") + and args.get("retrieval_model").get("reranking_model") + and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name") + ): + DatasetService.check_reranking_model_setting( + tenant_id, + args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"), + args.get("retrieval_model").get("reranking_model").get("reranking_model_name"), + ) + try: dataset = DatasetService.create_empty_dataset( tenant_id=tenant_id, @@ -265,10 +281,20 @@ class DatasetApi(DatasetApiResource): data = request.get_json() # check embedding model setting - if data.get("indexing_technique") == "high_quality": + if data.get("indexing_technique") == "high_quality" or data.get("embedding_model_provider"): DatasetService.check_embedding_model_setting( dataset.tenant_id, data.get("embedding_model_provider"), data.get("embedding_model") ) + if ( + data.get("retrieval_model") + and data.get("retrieval_model").get("reranking_model") + and data.get("retrieval_model").get("reranking_model").get("reranking_provider_name") + ): + DatasetService.check_reranking_model_setting( + dataset.tenant_id, + data.get("retrieval_model").get("reranking_model").get("reranking_provider_name"), + data.get("retrieval_model").get("reranking_model").get("reranking_model_name"), + ) # The role of the current user in the ta table must be admin, owner, editor, or dataset_operator DatasetPermissionService.check_permission( diff --git a/api/controllers/service_api/dataset/document.py b/api/controllers/service_api/dataset/document.py index e4779f3bdf..6213fad173 100644 --- a/api/controllers/service_api/dataset/document.py +++ b/api/controllers/service_api/dataset/document.py @@ -29,7 +29,7 @@ from extensions.ext_database import db from fields.document_fields import document_fields, document_status_fields from libs.login import current_user from models.dataset import Dataset, Document, DocumentSegment -from services.dataset_service import DocumentService +from services.dataset_service import DatasetService, DocumentService from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig from services.file_service import FileService @@ -59,6 +59,7 @@ class DocumentAddByTextApi(DatasetApiResource): parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json") args = parser.parse_args() + dataset_id = str(dataset_id) tenant_id = str(tenant_id) dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first() @@ -74,6 +75,21 @@ class DocumentAddByTextApi(DatasetApiResource): if text is None or name is None: raise ValueError("Both 'text' and 'name' must be non-null values.") + if args.get("embedding_model_provider"): + DatasetService.check_embedding_model_setting( + tenant_id, args.get("embedding_model_provider"), args.get("embedding_model") + ) + if ( + args.get("retrieval_model") + and args.get("retrieval_model").get("reranking_model") + and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name") + ): + DatasetService.check_reranking_model_setting( + tenant_id, + args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"), + args.get("retrieval_model").get("reranking_model").get("reranking_model_name"), + ) + upload_file = FileService.upload_text(text=str(text), text_name=str(name)) data_source = { "type": "upload_file", @@ -124,6 +140,17 @@ class DocumentUpdateByTextApi(DatasetApiResource): if not dataset: raise ValueError("Dataset does not exist.") + if ( + args.get("retrieval_model") + and args.get("retrieval_model").get("reranking_model") + and args.get("retrieval_model").get("reranking_model").get("reranking_provider_name") + ): + DatasetService.check_reranking_model_setting( + tenant_id, + args.get("retrieval_model").get("reranking_model").get("reranking_provider_name"), + args.get("retrieval_model").get("reranking_model").get("reranking_model_name"), + ) + # indexing_technique is already set in dataset since this is an update args["indexing_technique"] = dataset.indexing_technique @@ -188,6 +215,21 @@ class DocumentAddByFileApi(DatasetApiResource): raise ValueError("indexing_technique is required.") args["indexing_technique"] = indexing_technique + if "embedding_model_provider" in args: + DatasetService.check_embedding_model_setting( + tenant_id, args["embedding_model_provider"], args["embedding_model"] + ) + if ( + "retrieval_model" in args + and args["retrieval_model"].get("reranking_model") + and args["retrieval_model"].get("reranking_model").get("reranking_provider_name") + ): + DatasetService.check_reranking_model_setting( + tenant_id, + args["retrieval_model"].get("reranking_model").get("reranking_provider_name"), + args["retrieval_model"].get("reranking_model").get("reranking_model_name"), + ) + # save file info file = request.files["file"] # check file diff --git a/api/core/entities/parameter_entities.py b/api/core/entities/parameter_entities.py index 36800bc263..b071bfa5b1 100644 --- a/api/core/entities/parameter_entities.py +++ b/api/core/entities/parameter_entities.py @@ -15,6 +15,11 @@ class CommonParameterType(StrEnum): MODEL_SELECTOR = "model-selector" TOOLS_SELECTOR = "array[tools]" + # Dynamic select parameter + # Once you are not sure about the available options until authorization is done + # eg: Select a Slack channel from a Slack workspace + DYNAMIC_SELECT = "dynamic-select" + # TOOL_SELECTOR = "tool-selector" diff --git a/api/core/llm_generator/output_parser/structured_output.py b/api/core/llm_generator/output_parser/structured_output.py new file mode 100644 index 0000000000..0aaf5abef0 --- /dev/null +++ b/api/core/llm_generator/output_parser/structured_output.py @@ -0,0 +1,374 @@ +import json +from collections.abc import Generator, Mapping, Sequence +from copy import deepcopy +from enum import StrEnum +from typing import Any, Literal, Optional, cast, overload + +import json_repair +from pydantic import TypeAdapter, ValidationError + +from core.llm_generator.output_parser.errors import OutputParserError +from core.llm_generator.prompts import STRUCTURED_OUTPUT_PROMPT +from core.model_manager import ModelInstance +from core.model_runtime.callbacks.base_callback import Callback +from core.model_runtime.entities.llm_entities import ( + LLMResult, + LLMResultChunk, + LLMResultChunkDelta, + LLMResultChunkWithStructuredOutput, + LLMResultWithStructuredOutput, +) +from core.model_runtime.entities.message_entities import ( + AssistantPromptMessage, + PromptMessage, + PromptMessageTool, + SystemPromptMessage, +) +from core.model_runtime.entities.model_entities import AIModelEntity, ParameterRule + + +class ResponseFormat(StrEnum): + """Constants for model response formats""" + + JSON_SCHEMA = "json_schema" # model's structured output mode. some model like gemini, gpt-4o, support this mode. + JSON = "JSON" # model's json mode. some model like claude support this mode. + JSON_OBJECT = "json_object" # json mode's another alias. some model like deepseek-chat, qwen use this alias. + + +class SpecialModelType(StrEnum): + """Constants for identifying model types""" + + GEMINI = "gemini" + OLLAMA = "ollama" + + +@overload +def invoke_llm_with_structured_output( + provider: str, + model_schema: AIModelEntity, + model_instance: ModelInstance, + prompt_messages: Sequence[PromptMessage], + json_schema: Mapping[str, Any], + model_parameters: Optional[Mapping] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: Literal[True] = True, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, +) -> Generator[LLMResultChunkWithStructuredOutput, None, None]: ... + + +@overload +def invoke_llm_with_structured_output( + provider: str, + model_schema: AIModelEntity, + model_instance: ModelInstance, + prompt_messages: Sequence[PromptMessage], + json_schema: Mapping[str, Any], + model_parameters: Optional[Mapping] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: Literal[False] = False, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, +) -> LLMResultWithStructuredOutput: ... + + +@overload +def invoke_llm_with_structured_output( + provider: str, + model_schema: AIModelEntity, + model_instance: ModelInstance, + prompt_messages: Sequence[PromptMessage], + json_schema: Mapping[str, Any], + model_parameters: Optional[Mapping] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: bool = True, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, +) -> LLMResultWithStructuredOutput | Generator[LLMResultChunkWithStructuredOutput, None, None]: ... + + +def invoke_llm_with_structured_output( + provider: str, + model_schema: AIModelEntity, + model_instance: ModelInstance, + prompt_messages: Sequence[PromptMessage], + json_schema: Mapping[str, Any], + model_parameters: Optional[Mapping] = None, + tools: Sequence[PromptMessageTool] | None = None, + stop: Optional[list[str]] = None, + stream: bool = True, + user: Optional[str] = None, + callbacks: Optional[list[Callback]] = None, +) -> LLMResultWithStructuredOutput | Generator[LLMResultChunkWithStructuredOutput, None, None]: + """ + Invoke large language model with structured output + 1. This method invokes model_instance.invoke_llm with json_schema + 2. Try to parse the result as structured output + + :param prompt_messages: prompt messages + :param json_schema: json schema + :param model_parameters: model parameters + :param tools: tools for tool calling + :param stop: stop words + :param stream: is stream response + :param user: unique user id + :param callbacks: callbacks + :return: full response or stream response chunk generator result + """ + + # handle native json schema + model_parameters_with_json_schema: dict[str, Any] = { + **(model_parameters or {}), + } + + if model_schema.support_structure_output: + model_parameters = _handle_native_json_schema( + provider, model_schema, json_schema, model_parameters_with_json_schema, model_schema.parameter_rules + ) + else: + # Set appropriate response format based on model capabilities + _set_response_format(model_parameters_with_json_schema, model_schema.parameter_rules) + + # handle prompt based schema + prompt_messages = _handle_prompt_based_schema( + prompt_messages=prompt_messages, + structured_output_schema=json_schema, + ) + + llm_result = model_instance.invoke_llm( + prompt_messages=list(prompt_messages), + model_parameters=model_parameters_with_json_schema, + tools=tools, + stop=stop, + stream=stream, + user=user, + callbacks=callbacks, + ) + + if isinstance(llm_result, LLMResult): + if not isinstance(llm_result.message.content, str): + raise OutputParserError( + f"Failed to parse structured output, LLM result is not a string: {llm_result.message.content}" + ) + + return LLMResultWithStructuredOutput( + structured_output=_parse_structured_output(llm_result.message.content), + model=llm_result.model, + message=llm_result.message, + usage=llm_result.usage, + system_fingerprint=llm_result.system_fingerprint, + prompt_messages=llm_result.prompt_messages, + ) + else: + + def generator() -> Generator[LLMResultChunkWithStructuredOutput, None, None]: + result_text: str = "" + prompt_messages: Sequence[PromptMessage] = [] + system_fingerprint: Optional[str] = None + for event in llm_result: + if isinstance(event, LLMResultChunk): + if isinstance(event.delta.message.content, str): + result_text += event.delta.message.content + prompt_messages = event.prompt_messages + system_fingerprint = event.system_fingerprint + + yield LLMResultChunkWithStructuredOutput( + model=model_schema.model, + prompt_messages=prompt_messages, + system_fingerprint=system_fingerprint, + delta=event.delta, + ) + + yield LLMResultChunkWithStructuredOutput( + structured_output=_parse_structured_output(result_text), + model=model_schema.model, + prompt_messages=prompt_messages, + system_fingerprint=system_fingerprint, + delta=LLMResultChunkDelta( + index=0, + message=AssistantPromptMessage(content=""), + usage=None, + finish_reason=None, + ), + ) + + return generator() + + +def _handle_native_json_schema( + provider: str, + model_schema: AIModelEntity, + structured_output_schema: Mapping, + model_parameters: dict, + rules: list[ParameterRule], +) -> dict: + """ + Handle structured output for models with native JSON schema support. + + :param model_parameters: Model parameters to update + :param rules: Model parameter rules + :return: Updated model parameters with JSON schema configuration + """ + # Process schema according to model requirements + schema_json = _prepare_schema_for_model(provider, model_schema, structured_output_schema) + + # Set JSON schema in parameters + model_parameters["json_schema"] = json.dumps(schema_json, ensure_ascii=False) + + # Set appropriate response format if required by the model + for rule in rules: + if rule.name == "response_format" and ResponseFormat.JSON_SCHEMA.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON_SCHEMA.value + + return model_parameters + + +def _set_response_format(model_parameters: dict, rules: list) -> None: + """ + Set the appropriate response format parameter based on model rules. + + :param model_parameters: Model parameters to update + :param rules: Model parameter rules + """ + for rule in rules: + if rule.name == "response_format": + if ResponseFormat.JSON.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON.value + elif ResponseFormat.JSON_OBJECT.value in rule.options: + model_parameters["response_format"] = ResponseFormat.JSON_OBJECT.value + + +def _handle_prompt_based_schema( + prompt_messages: Sequence[PromptMessage], structured_output_schema: Mapping +) -> list[PromptMessage]: + """ + Handle structured output for models without native JSON schema support. + This function modifies the prompt messages to include schema-based output requirements. + + Args: + prompt_messages: Original sequence of prompt messages + + Returns: + list[PromptMessage]: Updated prompt messages with structured output requirements + """ + # Convert schema to string format + schema_str = json.dumps(structured_output_schema, ensure_ascii=False) + + # Find existing system prompt with schema placeholder + system_prompt = next( + (prompt for prompt in prompt_messages if isinstance(prompt, SystemPromptMessage)), + None, + ) + structured_output_prompt = STRUCTURED_OUTPUT_PROMPT.replace("{{schema}}", schema_str) + # Prepare system prompt content + system_prompt_content = ( + structured_output_prompt + "\n\n" + system_prompt.content + if system_prompt and isinstance(system_prompt.content, str) + else structured_output_prompt + ) + system_prompt = SystemPromptMessage(content=system_prompt_content) + + # Extract content from the last user message + + filtered_prompts = [prompt for prompt in prompt_messages if not isinstance(prompt, SystemPromptMessage)] + updated_prompt = [system_prompt] + filtered_prompts + + return updated_prompt + + +def _parse_structured_output(result_text: str) -> Mapping[str, Any]: + structured_output: Mapping[str, Any] = {} + parsed: Mapping[str, Any] = {} + try: + parsed = TypeAdapter(Mapping).validate_json(result_text) + if not isinstance(parsed, dict): + raise OutputParserError(f"Failed to parse structured output: {result_text}") + structured_output = parsed + except ValidationError: + # if the result_text is not a valid json, try to repair it + temp_parsed = json_repair.loads(result_text) + if not isinstance(temp_parsed, dict): + # handle reasoning model like deepseek-r1 got '\n\n\n' prefix + if isinstance(temp_parsed, list): + temp_parsed = next((item for item in temp_parsed if isinstance(item, dict)), {}) + else: + raise OutputParserError(f"Failed to parse structured output: {result_text}") + structured_output = cast(dict, temp_parsed) + return structured_output + + +def _prepare_schema_for_model(provider: str, model_schema: AIModelEntity, schema: Mapping) -> dict: + """ + Prepare JSON schema based on model requirements. + + Different models have different requirements for JSON schema formatting. + This function handles these differences. + + :param schema: The original JSON schema + :return: Processed schema compatible with the current model + """ + + # Deep copy to avoid modifying the original schema + processed_schema = dict(deepcopy(schema)) + + # Convert boolean types to string types (common requirement) + convert_boolean_to_string(processed_schema) + + # Apply model-specific transformations + if SpecialModelType.GEMINI in model_schema.model: + remove_additional_properties(processed_schema) + return processed_schema + elif SpecialModelType.OLLAMA in provider: + return processed_schema + else: + # Default format with name field + return {"schema": processed_schema, "name": "llm_response"} + + +def remove_additional_properties(schema: dict) -> None: + """ + Remove additionalProperties fields from JSON schema. + Used for models like Gemini that don't support this property. + + :param schema: JSON schema to modify in-place + """ + if not isinstance(schema, dict): + return + + # Remove additionalProperties at current level + schema.pop("additionalProperties", None) + + # Process nested structures recursively + for value in schema.values(): + if isinstance(value, dict): + remove_additional_properties(value) + elif isinstance(value, list): + for item in value: + if isinstance(item, dict): + remove_additional_properties(item) + + +def convert_boolean_to_string(schema: dict) -> None: + """ + Convert boolean type specifications to string in JSON schema. + + :param schema: JSON schema to modify in-place + """ + if not isinstance(schema, dict): + return + + # Check for boolean type at current level + if schema.get("type") == "boolean": + schema["type"] = "string" + + # Process nested dictionaries and lists recursively + for value in schema.values(): + if isinstance(value, dict): + convert_boolean_to_string(value) + elif isinstance(value, list): + for item in value: + if isinstance(item, dict): + convert_boolean_to_string(item) diff --git a/api/core/llm_generator/prompts.py b/api/core/llm_generator/prompts.py index ddfa1e7a66..ef81e38dc5 100644 --- a/api/core/llm_generator/prompts.py +++ b/api/core/llm_generator/prompts.py @@ -291,3 +291,21 @@ Your task is to convert simple user descriptions into properly formatted JSON Sc Now, generate a JSON Schema based on my description """ # noqa: E501 + +STRUCTURED_OUTPUT_PROMPT = """You’re a helpful AI assistant. You could answer questions and output in JSON format. +constraints: + - You must output in JSON format. + - Do not output boolean value, use string type instead. + - Do not output integer or float value, use number type instead. +eg: + Here is the JSON schema: + {"additionalProperties": false, "properties": {"age": {"type": "number"}, "name": {"type": "string"}}, "required": ["name", "age"], "type": "object"} + + Here is the user's question: + My name is John Doe and I am 30 years old. + + output: + {"name": "John Doe", "age": 30} +Here is the JSON schema: +{{schema}} +""" # noqa: E501 diff --git a/api/core/model_runtime/entities/llm_entities.py b/api/core/model_runtime/entities/llm_entities.py index de5a748d4f..e52b0eba55 100644 --- a/api/core/model_runtime/entities/llm_entities.py +++ b/api/core/model_runtime/entities/llm_entities.py @@ -1,7 +1,7 @@ -from collections.abc import Sequence +from collections.abc import Mapping, Sequence from decimal import Decimal from enum import StrEnum -from typing import Optional +from typing import Any, Optional from pydantic import BaseModel, Field @@ -101,6 +101,20 @@ class LLMResult(BaseModel): system_fingerprint: Optional[str] = None +class LLMStructuredOutput(BaseModel): + """ + Model class for llm structured output. + """ + + structured_output: Optional[Mapping[str, Any]] = None + + +class LLMResultWithStructuredOutput(LLMResult, LLMStructuredOutput): + """ + Model class for llm result with structured output. + """ + + class LLMResultChunkDelta(BaseModel): """ Model class for llm result chunk delta. @@ -123,6 +137,12 @@ class LLMResultChunk(BaseModel): delta: LLMResultChunkDelta +class LLMResultChunkWithStructuredOutput(LLMResultChunk, LLMStructuredOutput): + """ + Model class for llm result chunk with structured output. + """ + + class NumTokensResult(PriceInfo): """ Model class for number of tokens result. diff --git a/api/core/plugin/backwards_invocation/model.py b/api/core/plugin/backwards_invocation/model.py index 072644e53b..d07ab3d0c4 100644 --- a/api/core/plugin/backwards_invocation/model.py +++ b/api/core/plugin/backwards_invocation/model.py @@ -2,8 +2,15 @@ import tempfile from binascii import hexlify, unhexlify from collections.abc import Generator +from core.llm_generator.output_parser.structured_output import invoke_llm_with_structured_output from core.model_manager import ModelManager -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta +from core.model_runtime.entities.llm_entities import ( + LLMResult, + LLMResultChunk, + LLMResultChunkDelta, + LLMResultChunkWithStructuredOutput, + LLMResultWithStructuredOutput, +) from core.model_runtime.entities.message_entities import ( PromptMessage, SystemPromptMessage, @@ -12,6 +19,7 @@ from core.model_runtime.entities.message_entities import ( from core.plugin.backwards_invocation.base import BaseBackwardsInvocation from core.plugin.entities.request import ( RequestInvokeLLM, + RequestInvokeLLMWithStructuredOutput, RequestInvokeModeration, RequestInvokeRerank, RequestInvokeSpeech2Text, @@ -81,6 +89,72 @@ class PluginModelBackwardsInvocation(BaseBackwardsInvocation): return handle_non_streaming(response) + @classmethod + def invoke_llm_with_structured_output( + cls, user_id: str, tenant: Tenant, payload: RequestInvokeLLMWithStructuredOutput + ): + """ + invoke llm with structured output + """ + model_instance = ModelManager().get_model_instance( + tenant_id=tenant.id, + provider=payload.provider, + model_type=payload.model_type, + model=payload.model, + ) + + model_schema = model_instance.model_type_instance.get_model_schema(payload.model, model_instance.credentials) + + if not model_schema: + raise ValueError(f"Model schema not found for {payload.model}") + + response = invoke_llm_with_structured_output( + provider=payload.provider, + model_schema=model_schema, + model_instance=model_instance, + prompt_messages=payload.prompt_messages, + json_schema=payload.structured_output_schema, + tools=payload.tools, + stop=payload.stop, + stream=True if payload.stream is None else payload.stream, + user=user_id, + model_parameters=payload.completion_params, + ) + + if isinstance(response, Generator): + + def handle() -> Generator[LLMResultChunkWithStructuredOutput, None, None]: + for chunk in response: + if chunk.delta.usage: + llm_utils.deduct_llm_quota( + tenant_id=tenant.id, model_instance=model_instance, usage=chunk.delta.usage + ) + chunk.prompt_messages = [] + yield chunk + + return handle() + else: + if response.usage: + llm_utils.deduct_llm_quota(tenant_id=tenant.id, model_instance=model_instance, usage=response.usage) + + def handle_non_streaming( + response: LLMResultWithStructuredOutput, + ) -> Generator[LLMResultChunkWithStructuredOutput, None, None]: + yield LLMResultChunkWithStructuredOutput( + model=response.model, + prompt_messages=[], + system_fingerprint=response.system_fingerprint, + structured_output=response.structured_output, + delta=LLMResultChunkDelta( + index=0, + message=response.message, + usage=response.usage, + finish_reason="", + ), + ) + + return handle_non_streaming(response) + @classmethod def invoke_text_embedding(cls, user_id: str, tenant: Tenant, payload: RequestInvokeTextEmbedding): """ diff --git a/api/core/plugin/entities/parameters.py b/api/core/plugin/entities/parameters.py index 895dd0d0fc..2b438a3c33 100644 --- a/api/core/plugin/entities/parameters.py +++ b/api/core/plugin/entities/parameters.py @@ -10,6 +10,9 @@ from core.tools.entities.common_entities import I18nObject class PluginParameterOption(BaseModel): value: str = Field(..., description="The value of the option") label: I18nObject = Field(..., description="The label of the option") + icon: Optional[str] = Field( + default=None, description="The icon of the option, can be a url or a base64 encoded image" + ) @field_validator("value", mode="before") @classmethod @@ -35,6 +38,7 @@ class PluginParameterType(enum.StrEnum): APP_SELECTOR = CommonParameterType.APP_SELECTOR.value MODEL_SELECTOR = CommonParameterType.MODEL_SELECTOR.value TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR.value + DYNAMIC_SELECT = CommonParameterType.DYNAMIC_SELECT.value # deprecated, should not use. SYSTEM_FILES = CommonParameterType.SYSTEM_FILES.value diff --git a/api/core/plugin/entities/plugin_daemon.py b/api/core/plugin/entities/plugin_daemon.py index e0d2857e97..592b42c0da 100644 --- a/api/core/plugin/entities/plugin_daemon.py +++ b/api/core/plugin/entities/plugin_daemon.py @@ -1,4 +1,4 @@ -from collections.abc import Mapping +from collections.abc import Mapping, Sequence from datetime import datetime from enum import StrEnum from typing import Any, Generic, Optional, TypeVar @@ -9,6 +9,7 @@ from core.agent.plugin_entities import AgentProviderEntityWithPlugin from core.model_runtime.entities.model_entities import AIModelEntity from core.model_runtime.entities.provider_entities import ProviderEntity from core.plugin.entities.base import BasePluginEntity +from core.plugin.entities.parameters import PluginParameterOption from core.plugin.entities.plugin import PluginDeclaration, PluginEntity from core.tools.entities.common_entities import I18nObject from core.tools.entities.tool_entities import ToolProviderEntityWithPlugin @@ -186,3 +187,7 @@ class PluginOAuthCredentialsResponse(BaseModel): class PluginListResponse(BaseModel): list: list[PluginEntity] total: int + + +class PluginDynamicSelectOptionsResponse(BaseModel): + options: Sequence[PluginParameterOption] = Field(description="The options of the dynamic select.") diff --git a/api/core/plugin/entities/request.py b/api/core/plugin/entities/request.py index 1692020ec8..f9c81ed4d5 100644 --- a/api/core/plugin/entities/request.py +++ b/api/core/plugin/entities/request.py @@ -82,6 +82,16 @@ class RequestInvokeLLM(BaseRequestInvokeModel): return v +class RequestInvokeLLMWithStructuredOutput(RequestInvokeLLM): + """ + Request to invoke LLM with structured output + """ + + structured_output_schema: dict[str, Any] = Field( + default_factory=dict, description="The schema of the structured output in JSON schema format" + ) + + class RequestInvokeTextEmbedding(BaseRequestInvokeModel): """ Request to invoke text embedding diff --git a/api/core/plugin/impl/dynamic_select.py b/api/core/plugin/impl/dynamic_select.py new file mode 100644 index 0000000000..f4fb051ee1 --- /dev/null +++ b/api/core/plugin/impl/dynamic_select.py @@ -0,0 +1,45 @@ +from collections.abc import Mapping +from typing import Any + +from core.plugin.entities.plugin import GenericProviderID +from core.plugin.entities.plugin_daemon import PluginDynamicSelectOptionsResponse +from core.plugin.impl.base import BasePluginClient + + +class DynamicSelectClient(BasePluginClient): + def fetch_dynamic_select_options( + self, + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + action: str, + credentials: Mapping[str, Any], + parameter: str, + ) -> PluginDynamicSelectOptionsResponse: + """ + Fetch dynamic select options for a plugin parameter. + """ + response = self._request_with_plugin_daemon_response_stream( + "POST", + f"plugin/{tenant_id}/dispatch/dynamic_select/fetch_parameter_options", + PluginDynamicSelectOptionsResponse, + data={ + "user_id": user_id, + "data": { + "provider": GenericProviderID(provider).provider_name, + "credentials": credentials, + "provider_action": action, + "parameter": parameter, + }, + }, + headers={ + "X-Plugin-ID": plugin_id, + "Content-Type": "application/json", + }, + ) + + for options in response: + return options + + raise ValueError("Plugin service returned no options") diff --git a/api/core/tools/entities/tool_entities.py b/api/core/tools/entities/tool_entities.py index 03047c0545..d2c28076ae 100644 --- a/api/core/tools/entities/tool_entities.py +++ b/api/core/tools/entities/tool_entities.py @@ -240,6 +240,7 @@ class ToolParameter(PluginParameter): FILES = PluginParameterType.FILES.value APP_SELECTOR = PluginParameterType.APP_SELECTOR.value MODEL_SELECTOR = PluginParameterType.MODEL_SELECTOR.value + DYNAMIC_SELECT = PluginParameterType.DYNAMIC_SELECT.value # deprecated, should not use. SYSTEM_FILES = PluginParameterType.SYSTEM_FILES.value diff --git a/api/core/tools/utils/configuration.py b/api/core/tools/utils/configuration.py index 6a5fba65bd..1f23e90351 100644 --- a/api/core/tools/utils/configuration.py +++ b/api/core/tools/utils/configuration.py @@ -86,6 +86,7 @@ class ProviderConfigEncrypter(BaseModel): cached_credentials = cache.get() if cached_credentials: return cached_credentials + data = self._deep_copy(data) # get fields need to be decrypted fields = dict[str, BasicProviderConfig]() diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index 124ae6d75d..b5225ce548 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -5,11 +5,11 @@ import logging from collections.abc import Generator, Mapping, Sequence from typing import TYPE_CHECKING, Any, Optional, cast -import json_repair - from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEntity from core.file import FileType, file_manager from core.helper.code_executor import CodeExecutor, CodeLanguage +from core.llm_generator.output_parser.errors import OutputParserError +from core.llm_generator.output_parser.structured_output import invoke_llm_with_structured_output from core.memory.token_buffer_memory import TokenBufferMemory from core.model_manager import ModelInstance, ModelManager from core.model_runtime.entities import ( @@ -18,7 +18,13 @@ from core.model_runtime.entities import ( PromptMessageContentType, TextPromptMessageContent, ) -from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMUsage +from core.model_runtime.entities.llm_entities import ( + LLMResult, + LLMResultChunk, + LLMResultChunkWithStructuredOutput, + LLMStructuredOutput, + LLMUsage, +) from core.model_runtime.entities.message_entities import ( AssistantPromptMessage, PromptMessageContentUnionTypes, @@ -31,7 +37,6 @@ from core.model_runtime.entities.model_entities import ( ModelFeature, ModelPropertyKey, ModelType, - ParameterRule, ) from core.model_runtime.model_providers.__base.large_language_model import LargeLanguageModel from core.model_runtime.utils.encoders import jsonable_encoder @@ -62,11 +67,6 @@ from core.workflow.nodes.event import ( RunRetrieverResourceEvent, RunStreamChunkEvent, ) -from core.workflow.utils.structured_output.entities import ( - ResponseFormat, - SpecialModelType, -) -from core.workflow.utils.structured_output.prompt import STRUCTURED_OUTPUT_PROMPT from core.workflow.utils.variable_template_parser import VariableTemplateParser from . import llm_utils @@ -143,12 +143,6 @@ class LLMNode(BaseNode[LLMNodeData]): return "1" def _run(self) -> Generator[NodeEvent | InNodeEvent, None, None]: - def process_structured_output(text: str) -> Optional[dict[str, Any]]: - """Process structured output if enabled""" - if not self.node_data.structured_output_enabled or not self.node_data.structured_output: - return None - return self._parse_structured_output(text) - node_inputs: Optional[dict[str, Any]] = None process_data = None result_text = "" @@ -244,6 +238,8 @@ class LLMNode(BaseNode[LLMNodeData]): stop=stop, ) + structured_output: LLMStructuredOutput | None = None + for event in generator: if isinstance(event, RunStreamChunkEvent): yield event @@ -254,10 +250,12 @@ class LLMNode(BaseNode[LLMNodeData]): # deduct quota llm_utils.deduct_llm_quota(tenant_id=self.tenant_id, model_instance=model_instance, usage=usage) break + elif isinstance(event, LLMStructuredOutput): + structured_output = event + outputs = {"text": result_text, "usage": jsonable_encoder(usage), "finish_reason": finish_reason} - structured_output = process_structured_output(result_text) if structured_output: - outputs["structured_output"] = structured_output + outputs["structured_output"] = structured_output.structured_output if self._file_outputs is not None: outputs["files"] = ArrayFileSegment(value=self._file_outputs) @@ -302,20 +300,40 @@ class LLMNode(BaseNode[LLMNodeData]): model_instance: ModelInstance, prompt_messages: Sequence[PromptMessage], stop: Optional[Sequence[str]] = None, - ) -> Generator[NodeEvent, None, None]: - invoke_result = model_instance.invoke_llm( - prompt_messages=list(prompt_messages), - model_parameters=node_data_model.completion_params, - stop=list(stop or []), - stream=True, - user=self.user_id, + ) -> Generator[NodeEvent | LLMStructuredOutput, None, None]: + model_schema = model_instance.model_type_instance.get_model_schema( + node_data_model.name, model_instance.credentials ) + if not model_schema: + raise ValueError(f"Model schema not found for {node_data_model.name}") + + if self.node_data.structured_output_enabled: + output_schema = self._fetch_structured_output_schema() + invoke_result = invoke_llm_with_structured_output( + provider=model_instance.provider, + model_schema=model_schema, + model_instance=model_instance, + prompt_messages=prompt_messages, + json_schema=output_schema, + model_parameters=node_data_model.completion_params, + stop=list(stop or []), + stream=True, + user=self.user_id, + ) + else: + invoke_result = model_instance.invoke_llm( + prompt_messages=list(prompt_messages), + model_parameters=node_data_model.completion_params, + stop=list(stop or []), + stream=True, + user=self.user_id, + ) return self._handle_invoke_result(invoke_result=invoke_result) def _handle_invoke_result( - self, invoke_result: LLMResult | Generator[LLMResultChunk, None, None] - ) -> Generator[NodeEvent, None, None]: + self, invoke_result: LLMResult | Generator[LLMResultChunk | LLMStructuredOutput, None, None] + ) -> Generator[NodeEvent | LLMStructuredOutput, None, None]: # For blocking mode if isinstance(invoke_result, LLMResult): event = self._handle_blocking_result(invoke_result=invoke_result) @@ -329,23 +347,32 @@ class LLMNode(BaseNode[LLMNodeData]): usage = LLMUsage.empty_usage() finish_reason = None full_text_buffer = io.StringIO() - for result in invoke_result: - contents = result.delta.message.content - for text_part in self._save_multimodal_output_and_convert_result_to_markdown(contents): - full_text_buffer.write(text_part) - yield RunStreamChunkEvent(chunk_content=text_part, from_variable_selector=[self.node_id, "text"]) + # Consume the invoke result and handle generator exception + try: + for result in invoke_result: + if isinstance(result, LLMResultChunkWithStructuredOutput): + yield result + if isinstance(result, LLMResultChunk): + contents = result.delta.message.content + for text_part in self._save_multimodal_output_and_convert_result_to_markdown(contents): + full_text_buffer.write(text_part) + yield RunStreamChunkEvent( + chunk_content=text_part, from_variable_selector=[self.node_id, "text"] + ) - # Update the whole metadata - if not model and result.model: - model = result.model - if len(prompt_messages) == 0: - # TODO(QuantumGhost): it seems that this update has no visable effect. - # What's the purpose of the line below? - prompt_messages = list(result.prompt_messages) - if usage.prompt_tokens == 0 and result.delta.usage: - usage = result.delta.usage - if finish_reason is None and result.delta.finish_reason: - finish_reason = result.delta.finish_reason + # Update the whole metadata + if not model and result.model: + model = result.model + if len(prompt_messages) == 0: + # TODO(QuantumGhost): it seems that this update has no visable effect. + # What's the purpose of the line below? + prompt_messages = list(result.prompt_messages) + if usage.prompt_tokens == 0 and result.delta.usage: + usage = result.delta.usage + if finish_reason is None and result.delta.finish_reason: + finish_reason = result.delta.finish_reason + except OutputParserError as e: + raise LLMNodeError(f"Failed to parse structured output: {e}") yield ModelInvokeCompletedEvent(text=full_text_buffer.getvalue(), usage=usage, finish_reason=finish_reason) @@ -522,12 +549,6 @@ class LLMNode(BaseNode[LLMNodeData]): if not model_schema: raise ModelNotExistError(f"Model {node_data_model.name} not exist.") - if self.node_data.structured_output_enabled: - if model_schema.support_structure_output: - completion_params = self._handle_native_json_schema(completion_params, model_schema.parameter_rules) - else: - # Set appropriate response format based on model capabilities - self._set_response_format(completion_params, model_schema.parameter_rules) model_config_with_cred.parameters = completion_params # NOTE(-LAN-): This line modify the `self.node_data.model`, which is used in `_invoke_llm()`. node_data_model.completion_params = completion_params @@ -719,32 +740,8 @@ class LLMNode(BaseNode[LLMNodeData]): ) if not model_schema: raise ModelNotExistError(f"Model {model_config.model} not exist.") - if self.node_data.structured_output_enabled: - if not model_schema.support_structure_output: - filtered_prompt_messages = self._handle_prompt_based_schema( - prompt_messages=filtered_prompt_messages, - ) return filtered_prompt_messages, model_config.stop - def _parse_structured_output(self, result_text: str) -> dict[str, Any]: - structured_output: dict[str, Any] = {} - try: - parsed = json.loads(result_text) - if not isinstance(parsed, dict): - raise LLMNodeError(f"Failed to parse structured output: {result_text}") - structured_output = parsed - except json.JSONDecodeError as e: - # if the result_text is not a valid json, try to repair it - parsed = json_repair.loads(result_text) - if not isinstance(parsed, dict): - # handle reasoning model like deepseek-r1 got '\n\n\n' prefix - if isinstance(parsed, list): - parsed = next((item for item in parsed if isinstance(item, dict)), {}) - else: - raise LLMNodeError(f"Failed to parse structured output: {result_text}") - structured_output = parsed - return structured_output - @classmethod def _extract_variable_selector_to_variable_mapping( cls, @@ -934,104 +931,6 @@ class LLMNode(BaseNode[LLMNodeData]): self._file_outputs.append(saved_file) return saved_file - def _handle_native_json_schema(self, model_parameters: dict, rules: list[ParameterRule]) -> dict: - """ - Handle structured output for models with native JSON schema support. - - :param model_parameters: Model parameters to update - :param rules: Model parameter rules - :return: Updated model parameters with JSON schema configuration - """ - # Process schema according to model requirements - schema = self._fetch_structured_output_schema() - schema_json = self._prepare_schema_for_model(schema) - - # Set JSON schema in parameters - model_parameters["json_schema"] = json.dumps(schema_json, ensure_ascii=False) - - # Set appropriate response format if required by the model - for rule in rules: - if rule.name == "response_format" and ResponseFormat.JSON_SCHEMA.value in rule.options: - model_parameters["response_format"] = ResponseFormat.JSON_SCHEMA.value - - return model_parameters - - def _handle_prompt_based_schema(self, prompt_messages: Sequence[PromptMessage]) -> list[PromptMessage]: - """ - Handle structured output for models without native JSON schema support. - This function modifies the prompt messages to include schema-based output requirements. - - Args: - prompt_messages: Original sequence of prompt messages - - Returns: - list[PromptMessage]: Updated prompt messages with structured output requirements - """ - # Convert schema to string format - schema_str = json.dumps(self._fetch_structured_output_schema(), ensure_ascii=False) - - # Find existing system prompt with schema placeholder - system_prompt = next( - (prompt for prompt in prompt_messages if isinstance(prompt, SystemPromptMessage)), - None, - ) - structured_output_prompt = STRUCTURED_OUTPUT_PROMPT.replace("{{schema}}", schema_str) - # Prepare system prompt content - system_prompt_content = ( - structured_output_prompt + "\n\n" + system_prompt.content - if system_prompt and isinstance(system_prompt.content, str) - else structured_output_prompt - ) - system_prompt = SystemPromptMessage(content=system_prompt_content) - - # Extract content from the last user message - - filtered_prompts = [prompt for prompt in prompt_messages if not isinstance(prompt, SystemPromptMessage)] - updated_prompt = [system_prompt] + filtered_prompts - - return updated_prompt - - def _set_response_format(self, model_parameters: dict, rules: list) -> None: - """ - Set the appropriate response format parameter based on model rules. - - :param model_parameters: Model parameters to update - :param rules: Model parameter rules - """ - for rule in rules: - if rule.name == "response_format": - if ResponseFormat.JSON.value in rule.options: - model_parameters["response_format"] = ResponseFormat.JSON.value - elif ResponseFormat.JSON_OBJECT.value in rule.options: - model_parameters["response_format"] = ResponseFormat.JSON_OBJECT.value - - def _prepare_schema_for_model(self, schema: dict) -> dict: - """ - Prepare JSON schema based on model requirements. - - Different models have different requirements for JSON schema formatting. - This function handles these differences. - - :param schema: The original JSON schema - :return: Processed schema compatible with the current model - """ - - # Deep copy to avoid modifying the original schema - processed_schema = schema.copy() - - # Convert boolean types to string types (common requirement) - convert_boolean_to_string(processed_schema) - - # Apply model-specific transformations - if SpecialModelType.GEMINI in self.node_data.model.name: - remove_additional_properties(processed_schema) - return processed_schema - elif SpecialModelType.OLLAMA in self.node_data.model.provider: - return processed_schema - else: - # Default format with name field - return {"schema": processed_schema, "name": "llm_response"} - def _fetch_model_schema(self, provider: str) -> AIModelEntity | None: """ Fetch model schema @@ -1243,49 +1142,3 @@ def _handle_completion_template( ) prompt_messages.append(prompt_message) return prompt_messages - - -def remove_additional_properties(schema: dict) -> None: - """ - Remove additionalProperties fields from JSON schema. - Used for models like Gemini that don't support this property. - - :param schema: JSON schema to modify in-place - """ - if not isinstance(schema, dict): - return - - # Remove additionalProperties at current level - schema.pop("additionalProperties", None) - - # Process nested structures recursively - for value in schema.values(): - if isinstance(value, dict): - remove_additional_properties(value) - elif isinstance(value, list): - for item in value: - if isinstance(item, dict): - remove_additional_properties(item) - - -def convert_boolean_to_string(schema: dict) -> None: - """ - Convert boolean type specifications to string in JSON schema. - - :param schema: JSON schema to modify in-place - """ - if not isinstance(schema, dict): - return - - # Check for boolean type at current level - if schema.get("type") == "boolean": - schema["type"] = "string" - - # Process nested dictionaries and lists recursively - for value in schema.values(): - if isinstance(value, dict): - convert_boolean_to_string(value) - elif isinstance(value, list): - for item in value: - if isinstance(item, dict): - convert_boolean_to_string(item) diff --git a/api/core/workflow/utils/structured_output/entities.py b/api/core/workflow/utils/structured_output/entities.py deleted file mode 100644 index 6491042bfe..0000000000 --- a/api/core/workflow/utils/structured_output/entities.py +++ /dev/null @@ -1,16 +0,0 @@ -from enum import StrEnum - - -class ResponseFormat(StrEnum): - """Constants for model response formats""" - - JSON_SCHEMA = "json_schema" # model's structured output mode. some model like gemini, gpt-4o, support this mode. - JSON = "JSON" # model's json mode. some model like claude support this mode. - JSON_OBJECT = "json_object" # json mode's another alias. some model like deepseek-chat, qwen use this alias. - - -class SpecialModelType(StrEnum): - """Constants for identifying model types""" - - GEMINI = "gemini" - OLLAMA = "ollama" diff --git a/api/core/workflow/utils/structured_output/prompt.py b/api/core/workflow/utils/structured_output/prompt.py deleted file mode 100644 index 06d9b2056e..0000000000 --- a/api/core/workflow/utils/structured_output/prompt.py +++ /dev/null @@ -1,17 +0,0 @@ -STRUCTURED_OUTPUT_PROMPT = """You’re a helpful AI assistant. You could answer questions and output in JSON format. -constraints: - - You must output in JSON format. - - Do not output boolean value, use string type instead. - - Do not output integer or float value, use number type instead. -eg: - Here is the JSON schema: - {"additionalProperties": false, "properties": {"age": {"type": "number"}, "name": {"type": "string"}}, "required": ["name", "age"], "type": "object"} - - Here is the user's question: - My name is John Doe and I am 30 years old. - - output: - {"name": "John Doe", "age": 30} -Here is the JSON schema: -{{schema}} -""" # noqa: E501 diff --git a/api/extensions/ext_celery.py b/api/extensions/ext_celery.py index a837552007..6279b1ad36 100644 --- a/api/extensions/ext_celery.py +++ b/api/extensions/ext_celery.py @@ -21,6 +21,7 @@ def init_app(app: DifyApp) -> Celery: "master_name": dify_config.CELERY_SENTINEL_MASTER_NAME, "sentinel_kwargs": { "socket_timeout": dify_config.CELERY_SENTINEL_SOCKET_TIMEOUT, + "password": dify_config.CELERY_SENTINEL_PASSWORD, }, } diff --git a/api/pyproject.toml b/api/pyproject.toml index 6033b3a670..4251008053 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -198,7 +198,7 @@ vdb = [ "pymochow==1.3.1", "pyobvector~=0.1.6", "qdrant-client==1.9.0", - "tablestore==6.1.0", + "tablestore==6.2.0", "tcvectordb~=1.6.4", "tidb-vector==0.0.9", "upstash-vector==0.6.0", diff --git a/api/services/dataset_service.py b/api/services/dataset_service.py index a697c9ab7f..e42b5ace75 100644 --- a/api/services/dataset_service.py +++ b/api/services/dataset_service.py @@ -278,6 +278,23 @@ class DatasetService: except ProviderTokenNotInitError as ex: raise ValueError(ex.description) + @staticmethod + def check_reranking_model_setting(tenant_id: str, reranking_model_provider: str, reranking_model: str): + try: + model_manager = ModelManager() + model_manager.get_model_instance( + tenant_id=tenant_id, + provider=reranking_model_provider, + model_type=ModelType.RERANK, + model=reranking_model, + ) + except LLMBadRequestError: + raise ValueError( + "No Rerank Model available. Please configure a valid provider in the Settings -> Model Provider." + ) + except ProviderTokenNotInitError as ex: + raise ValueError(ex.description) + @staticmethod def update_dataset(dataset_id, data, user): """ @@ -2207,6 +2224,7 @@ class SegmentService: # calc embedding use tokens if document.doc_form == "qa_model": + segment.answer = args.answer tokens = embedding_model.get_text_embedding_num_tokens(texts=[content + segment.answer])[0] else: tokens = embedding_model.get_text_embedding_num_tokens(texts=[content])[0] diff --git a/api/services/plugin/plugin_parameter_service.py b/api/services/plugin/plugin_parameter_service.py new file mode 100644 index 0000000000..393213c0e2 --- /dev/null +++ b/api/services/plugin/plugin_parameter_service.py @@ -0,0 +1,74 @@ +from collections.abc import Mapping, Sequence +from typing import Any, Literal + +from sqlalchemy.orm import Session + +from core.plugin.entities.parameters import PluginParameterOption +from core.plugin.impl.dynamic_select import DynamicSelectClient +from core.tools.tool_manager import ToolManager +from core.tools.utils.configuration import ProviderConfigEncrypter +from extensions.ext_database import db +from models.tools import BuiltinToolProvider + + +class PluginParameterService: + @staticmethod + def get_dynamic_select_options( + tenant_id: str, + user_id: str, + plugin_id: str, + provider: str, + action: str, + parameter: str, + provider_type: Literal["tool"], + ) -> Sequence[PluginParameterOption]: + """ + Get dynamic select options for a plugin parameter. + + Args: + tenant_id: The tenant ID. + plugin_id: The plugin ID. + provider: The provider name. + action: The action name. + parameter: The parameter name. + """ + credentials: Mapping[str, Any] = {} + + match provider_type: + case "tool": + provider_controller = ToolManager.get_builtin_provider(provider, tenant_id) + # init tool configuration + tool_configuration = ProviderConfigEncrypter( + tenant_id=tenant_id, + config=[x.to_basic_provider_config() for x in provider_controller.get_credentials_schema()], + provider_type=provider_controller.provider_type.value, + provider_identity=provider_controller.entity.identity.name, + ) + + # check if credentials are required + if not provider_controller.need_credentials: + credentials = {} + else: + # fetch credentials from db + with Session(db.engine) as session: + db_record = ( + session.query(BuiltinToolProvider) + .filter( + BuiltinToolProvider.tenant_id == tenant_id, + BuiltinToolProvider.provider == provider, + ) + .first() + ) + + if db_record is None: + raise ValueError(f"Builtin provider {provider} not found when fetching credentials") + + credentials = tool_configuration.decrypt(db_record.credentials) + case _: + raise ValueError(f"Invalid provider type: {provider_type}") + + return ( + DynamicSelectClient() + .fetch_dynamic_select_options(tenant_id, user_id, plugin_id, provider, action, credentials, parameter) + .options + ) diff --git a/api/tests/integration_tests/workflow/nodes/test_llm.py b/api/tests/integration_tests/workflow/nodes/test_llm.py index a3b2fdc376..389d1071f3 100644 --- a/api/tests/integration_tests/workflow/nodes/test_llm.py +++ b/api/tests/integration_tests/workflow/nodes/test_llm.py @@ -9,6 +9,7 @@ from unittest.mock import MagicMock, patch import pytest from core.app.entities.app_invoke_entities import InvokeFrom +from core.llm_generator.output_parser.structured_output import _parse_structured_output from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage from core.model_runtime.entities.message_entities import AssistantPromptMessage from core.workflow.entities.variable_pool import VariablePool @@ -277,29 +278,6 @@ def test_execute_llm_with_jinja2(flask_req_ctx, setup_code_executor_mock): def test_extract_json(): - node = init_llm_node( - config={ - "id": "llm", - "data": { - "title": "123", - "type": "llm", - "model": {"provider": "openai", "name": "gpt-3.5-turbo", "mode": "chat", "completion_params": {}}, - "prompt_config": { - "structured_output": { - "enabled": True, - "schema": { - "type": "object", - "properties": {"name": {"type": "string"}, "age": {"type": "number"}}, - }, - } - }, - "prompt_template": [{"role": "user", "text": "{{#sys.query#}}"}], - "memory": None, - "context": {"enabled": False}, - "vision": {"enabled": False}, - }, - }, - ) llm_texts = [ '\n\n{"name": "test", "age": 123', # resoning model (deepseek-r1) '{"name":"test","age":123}', # json schema model (gpt-4o) @@ -308,4 +286,4 @@ def test_extract_json(): '{"name":"test",age:123}', # without quotes (qwen-2.5-0.5b) ] result = {"name": "test", "age": 123} - assert all(node._parse_structured_output(item) == result for item in llm_texts) + assert all(_parse_structured_output(item) == result for item in llm_texts) diff --git a/api/uv.lock b/api/uv.lock index 759f1aec03..6b9deffa0e 100644 --- a/api/uv.lock +++ b/api/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 1 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275da8e2e4..a024566c8f 100644 --- a/docker/.env.example +++ b/docker/.env.example @@ -285,6 +285,7 @@ BROKER_USE_SSL=false # If you are using Redis Sentinel for high availability, configure the following settings. CELERY_USE_SENTINEL=false CELERY_SENTINEL_MASTER_NAME= +CELERY_SENTINEL_PASSWORD= CELERY_SENTINEL_SOCKET_TIMEOUT=0.1 # ------------------------------ diff --git a/docker/docker-compose.yaml b/docker/docker-compose.yaml index 0019835357..0d187176b0 100644 --- a/docker/docker-compose.yaml +++ b/docker/docker-compose.yaml @@ -79,6 +79,7 @@ x-shared-env: &shared-api-worker-env BROKER_USE_SSL: ${BROKER_USE_SSL:-false} CELERY_USE_SENTINEL: ${CELERY_USE_SENTINEL:-false} CELERY_SENTINEL_MASTER_NAME: ${CELERY_SENTINEL_MASTER_NAME:-} + CELERY_SENTINEL_PASSWORD: ${CELERY_SENTINEL_PASSWORD:-} CELERY_SENTINEL_SOCKET_TIMEOUT: ${CELERY_SENTINEL_SOCKET_TIMEOUT:-0.1} WEB_API_CORS_ALLOW_ORIGINS: ${WEB_API_CORS_ALLOW_ORIGINS:-*} CONSOLE_CORS_ALLOW_ORIGINS: ${CONSOLE_CORS_ALLOW_ORIGINS:-*} diff --git a/web/app/components/app/log/list.tsx b/web/app/components/app/log/list.tsx index dd72c6c810..47f8c09e39 100644 --- a/web/app/components/app/log/list.tsx +++ b/web/app/components/app/log/list.tsx @@ -191,6 +191,7 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { const { userProfile: { timezone } } = useAppContext() const { formatTime } = useTimestamp() const { onClose, appDetail } = useContext(DrawerContext) + const { notify } = useContext(ToastContext) const { currentLogItem, setCurrentLogItem, showMessageLogModal, setShowMessageLogModal, showPromptLogModal, setShowPromptLogModal, currentLogModalActiveTab } = useAppStore(useShallow(state => ({ currentLogItem: state.currentLogItem, setCurrentLogItem: state.setCurrentLogItem, @@ -312,18 +313,34 @@ function DetailPanel({ detail, onFeedback }: IDetailPanel) { return item })) }, [allChatItems]) - const handleAnnotationRemoved = useCallback((index: number) => { - setAllChatItems(allChatItems.map((item, i) => { - if (i === index) { - return { - ...item, - content: item.content, - annotation: undefined, - } + const handleAnnotationRemoved = useCallback(async (index: number): Promise => { + const annotation = allChatItems[index]?.annotation + + try { + if (annotation?.id) { + const { delAnnotation } = await import('@/service/annotation') + await delAnnotation(appDetail?.id || '', annotation.id) } - return item - })) - }, [allChatItems]) + + setAllChatItems(allChatItems.map((item, i) => { + if (i === index) { + return { + ...item, + content: item.content, + annotation: undefined, + } + } + return item + })) + + notify({ type: 'success', message: t('common.actionMsg.modifiedSuccessfully') }) + return true + } + catch { + notify({ type: 'error', message: t('common.actionMsg.modifiedUnsuccessfully') }) + return false + } + }, [allChatItems, appDetail?.id, t]) const fetchInitiated = useRef(false) diff --git a/web/app/components/base/icons/assets/public/llm/openai-teal.svg b/web/app/components/base/icons/assets/public/llm/openai-teal.svg new file mode 100644 index 0000000000..359cb532b6 --- /dev/null +++ b/web/app/components/base/icons/assets/public/llm/openai-teal.svg @@ -0,0 +1,4 @@ + + + + diff --git a/web/app/components/base/icons/assets/public/llm/openai-yellow.svg b/web/app/components/base/icons/assets/public/llm/openai-yellow.svg new file mode 100644 index 0000000000..015eb74adc --- /dev/null +++ b/web/app/components/base/icons/assets/public/llm/openai-yellow.svg @@ -0,0 +1,4 @@ + + + + diff --git a/web/app/components/base/input-number/index.spec.tsx b/web/app/components/base/input-number/index.spec.tsx index 8dfd1184b0..891cbd21e3 100644 --- a/web/app/components/base/input-number/index.spec.tsx +++ b/web/app/components/base/input-number/index.spec.tsx @@ -18,7 +18,7 @@ describe('InputNumber Component', () => { it('renders input with default values', () => { render() - const input = screen.getByRole('textbox') + const input = screen.getByRole('spinbutton') expect(input).toBeInTheDocument() }) @@ -56,7 +56,7 @@ describe('InputNumber Component', () => { it('handles direct input changes', () => { render() - const input = screen.getByRole('textbox') + const input = screen.getByRole('spinbutton') fireEvent.change(input, { target: { value: '42' } }) expect(defaultProps.onChange).toHaveBeenCalledWith(42) @@ -64,7 +64,7 @@ describe('InputNumber Component', () => { it('handles empty input', () => { render() - const input = screen.getByRole('textbox') + const input = screen.getByRole('spinbutton') fireEvent.change(input, { target: { value: '' } }) expect(defaultProps.onChange).toHaveBeenCalledWith(undefined) @@ -72,7 +72,7 @@ describe('InputNumber Component', () => { it('handles invalid input', () => { render() - const input = screen.getByRole('textbox') + const input = screen.getByRole('spinbutton') fireEvent.change(input, { target: { value: 'abc' } }) expect(defaultProps.onChange).not.toHaveBeenCalled() @@ -86,7 +86,7 @@ describe('InputNumber Component', () => { it('disables controls when disabled prop is true', () => { render() - const input = screen.getByRole('textbox') + const input = screen.getByRole('spinbutton') const incrementBtn = screen.getByRole('button', { name: /increment/i }) const decrementBtn = screen.getByRole('button', { name: /decrement/i }) diff --git a/web/app/components/base/input-number/index.tsx b/web/app/components/base/input-number/index.tsx index 98efc94462..5fd45944db 100644 --- a/web/app/components/base/input-number/index.tsx +++ b/web/app/components/base/input-number/index.tsx @@ -55,8 +55,8 @@ export const InputNumber: FC = (props) => { return
= (props) => { size={size} />
diff --git a/web/app/components/datasets/create/step-two/index.tsx b/web/app/components/datasets/create/step-two/index.tsx index acc891407f..ebd8552a99 100644 --- a/web/app/components/datasets/create/step-two/index.tsx +++ b/web/app/components/datasets/create/step-two/index.tsx @@ -507,13 +507,15 @@ const StepTwo = ({ const separator = rules.segmentation.separator const max = rules.segmentation.max_tokens const overlap = rules.segmentation.chunk_overlap + const isHierarchicalDocument = documentDetail.doc_form === ChunkingMode.parentChild + || (rules.parent_mode && rules.subchunk_segmentation) setSegmentIdentifier(separator) setMaxChunkLength(max) setOverlap(overlap!) setRules(rules.pre_processing_rules) setDefaultConfig(rules) - if (documentDetail.dataset_process_rule.mode === 'hierarchical') { + if (isHierarchicalDocument) { setParentChildConfig({ chunkForContext: rules.parent_mode || 'paragraph', parent: { @@ -575,6 +577,7 @@ const StepTwo = ({ onSuccess(data) { updateIndexingTypeCache && updateIndexingTypeCache(indexType as string) updateResultCache && updateResultCache(data) + updateRetrievalMethodCache && updateRetrievalMethodCache(retrievalConfig.search_method as string) }, }) } diff --git a/web/app/components/header/account-setting/model-provider-page/declarations.ts b/web/app/components/header/account-setting/model-provider-page/declarations.ts index 12dd9b3b5b..0ee7b26114 100644 --- a/web/app/components/header/account-setting/model-provider-page/declarations.ts +++ b/web/app/components/header/account-setting/model-provider-page/declarations.ts @@ -19,12 +19,14 @@ export enum FormTypeEnum { toolSelector = 'tool-selector', multiToolSelector = 'array[tools]', appSelector = 'app-selector', + dynamicSelect = 'dynamic-select', } export type FormOption = { label: TypeWithI18N value: string show_on: FormShowOnObject[] + icon?: string } export enum ModelTypeEnum { diff --git a/web/app/components/header/header-wrapper.tsx b/web/app/components/header/header-wrapper.tsx index 013e25c8b7..cd4d229b05 100644 --- a/web/app/components/header/header-wrapper.tsx +++ b/web/app/components/header/header-wrapper.tsx @@ -30,7 +30,7 @@ const HeaderWrapper = ({ return (
) => void } +const extractDefaultValues = (schemas: any[]) => { + const result: Record = {} + for (const field of schemas) { + if (field.default !== undefined) + result[field.name] = field.default + } + return result +} + const EndpointModal: FC = ({ formSchemas, defaultValues = {}, @@ -26,7 +35,10 @@ const EndpointModal: FC = ({ }) => { const getValueFromI18nObject = useRenderI18nObject() const { t } = useTranslation() - const [tempCredential, setTempCredential] = React.useState(defaultValues) + const initialValues = Object.keys(defaultValues).length > 0 + ? defaultValues + : extractDefaultValues(formSchemas) + const [tempCredential, setTempCredential] = React.useState(initialValues) const handleSave = () => { for (const field of formSchemas) { diff --git a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx index 7f5f22896a..fef79644cd 100644 --- a/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx +++ b/web/app/components/plugins/plugin-detail-panel/multiple-tool-selector/index.tsx @@ -117,6 +117,7 @@ const MultipleToolSelector = ({ )} {!disabled && ( { + setCollapse(false) setOpen(!open) setPanelShowState(true) }}> @@ -126,23 +127,6 @@ const MultipleToolSelector = ({
{!collapse && ( <> -
- } - panelShowState={panelShowState} - onPanelShowStateChange={setPanelShowState} - isEdit={false} - /> {value.length === 0 && (
{t('plugin.detailPanel.toolSelector.empty')}
)} @@ -164,6 +148,23 @@ const MultipleToolSelector = ({ ))} )} + + } + panelShowState={panelShowState} + onPanelShowStateChange={setPanelShowState} + isEdit={false} + /> ) } diff --git a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx index ca802414f3..350fe50933 100644 --- a/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx +++ b/web/app/components/plugins/plugin-detail-panel/tool-selector/index.tsx @@ -275,7 +275,7 @@ const ToolSelector: FC = ({ /> )} - +
{!isShowSettingAuth && ( <> diff --git a/web/app/components/workflow/block-selector/types.ts b/web/app/components/workflow/block-selector/types.ts index 0abf7b9031..f1bdbbfbd9 100644 --- a/web/app/components/workflow/block-selector/types.ts +++ b/web/app/components/workflow/block-selector/types.ts @@ -36,7 +36,7 @@ export type ToolValue = { provider_name: string tool_name: string tool_label: string - tool_description: string + tool_description?: string settings?: Record parameters?: Record enabled?: boolean diff --git a/web/app/components/workflow/header/header-in-normal.tsx b/web/app/components/workflow/header/header-in-normal.tsx index ec016b1b65..5768e6bc06 100644 --- a/web/app/components/workflow/header/header-in-normal.tsx +++ b/web/app/components/workflow/header/header-in-normal.tsx @@ -33,6 +33,8 @@ const HeaderInNormal = ({ const setShowWorkflowVersionHistoryPanel = useStore(s => s.setShowWorkflowVersionHistoryPanel) const setShowEnvPanel = useStore(s => s.setShowEnvPanel) const setShowDebugAndPreviewPanel = useStore(s => s.setShowDebugAndPreviewPanel) + const setShowVariableInspectPanel = useStore(s => s.setShowVariableInspectPanel) + const setShowChatVariablePanel = useStore(s => s.setShowChatVariablePanel) const nodes = useNodes() const selectedNode = nodes.find(node => node.data.selected) const { handleBackupDraft } = useWorkflowRun() @@ -46,8 +48,10 @@ const HeaderInNormal = ({ setShowWorkflowVersionHistoryPanel(true) setShowEnvPanel(false) setShowDebugAndPreviewPanel(false) + setShowVariableInspectPanel(false) + setShowChatVariablePanel(false) }, [handleBackupDraft, workflowStore, handleNodeSelect, selectedNode, - setShowWorkflowVersionHistoryPanel, setShowEnvPanel, setShowDebugAndPreviewPanel]) + setShowWorkflowVersionHistoryPanel, setShowEnvPanel, setShowDebugAndPreviewPanel, setShowVariableInspectPanel]) return ( <> diff --git a/web/app/components/workflow/nodes/_base/components/editor/base.tsx b/web/app/components/workflow/nodes/_base/components/editor/base.tsx index 38968b2e0d..65afb36835 100644 --- a/web/app/components/workflow/nodes/_base/components/editor/base.tsx +++ b/web/app/components/workflow/nodes/_base/components/editor/base.tsx @@ -15,6 +15,7 @@ import { import useToggleExpend from '@/app/components/workflow/nodes/_base/hooks/use-toggle-expend' import type { FileEntity } from '@/app/components/base/file-uploader/types' import FileListInLog from '@/app/components/base/file-uploader/file-list-in-log' +import ActionButton from '@/app/components/base/action-button' type Props = { className?: string @@ -88,15 +89,16 @@ const Base: FC = ({
)} - {!isCopied - ? ( - - ) - : ( - - ) - } - + + {!isCopied + ? ( + + ) + : ( + + ) + } +
diff --git a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx index 0adfa3c9fb..0d965e2d22 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/constant-field.tsx @@ -13,6 +13,8 @@ type Props = { readonly: boolean value: string onChange: (value: string | number, varKindType: VarKindType, varInfo?: Var) => void + onOpenChange?: (open: boolean) => void + isLoading?: boolean } const DEFAULT_SCHEMA = {} as CredentialFormSchema @@ -22,6 +24,8 @@ const ConstantField: FC = ({ readonly, value, onChange, + onOpenChange, + isLoading, }) => { const language = useLanguage() const placeholder = (schema as CredentialFormSchemaSelect).placeholder @@ -36,7 +40,7 @@ const ConstantField: FC = ({ return ( <> - {schema.type === FormTypeEnum.select && ( + {(schema.type === FormTypeEnum.select || schema.type === FormTypeEnum.dynamicSelect) && ( = ({ items={(schema as CredentialFormSchemaSelect).options.map(option => ({ value: option.value, name: option.label[language] || option.label.en_US }))} onSelect={item => handleSelectChange(item.value)} placeholder={placeholder?.[language] || placeholder?.en_US} + onOpenChange={onOpenChange} + isLoading={isLoading} /> )} {schema.type === FormTypeEnum.textNumber && ( diff --git a/web/app/components/workflow/nodes/_base/components/variable/utils.ts b/web/app/components/workflow/nodes/_base/components/variable/utils.ts index 428c204dd3..a69f9a51a7 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/utils.ts +++ b/web/app/components/workflow/nodes/_base/components/variable/utils.ts @@ -1090,13 +1090,13 @@ export const getNodeUsedVarPassToServerKey = (node: Node, valueSelector: ValueSe break } case BlockEnum.Code: { - const targetVar = (data as CodeNodeType).variables?.find(v => v.value_selector.join('.') === valueSelector.join('.')) + const targetVar = (data as CodeNodeType).variables?.find(v => Array.isArray(v.value_selector) && v.value_selector && v.value_selector.join('.') === valueSelector.join('.')) if (targetVar) res = targetVar.variable break } case BlockEnum.TemplateTransform: { - const targetVar = (data as TemplateTransformNodeType).variables?.find(v => v.value_selector.join('.') === valueSelector.join('.')) + const targetVar = (data as TemplateTransformNodeType).variables?.find(v => Array.isArray(v.value_selector) && v.value_selector && v.value_selector.join('.') === valueSelector.join('.')) if (targetVar) res = targetVar.variable break diff --git a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx index e9825cd44a..2c89e722cd 100644 --- a/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx +++ b/web/app/components/workflow/nodes/_base/components/variable/var-reference-picker.tsx @@ -6,6 +6,7 @@ import { RiArrowDownSLine, RiCloseLine, RiErrorWarningFill, + RiLoader4Line, RiMoreLine, } from '@remixicon/react' import produce from 'immer' @@ -16,8 +17,9 @@ import VarReferencePopup from './var-reference-popup' import { getNodeInfoById, isConversationVar, isENV, isSystemVar, varTypeToStructType } from './utils' import ConstantField from './constant-field' import cn from '@/utils/classnames' -import type { Node, NodeOutPutVar, ValueSelector, Var } from '@/app/components/workflow/types' -import type { CredentialFormSchema } from '@/app/components/header/account-setting/model-provider-page/declarations' +import type { Node, NodeOutPutVar, ToolWithProvider, ValueSelector, Var } from '@/app/components/workflow/types' +import type { CredentialFormSchemaSelect } from '@/app/components/header/account-setting/model-provider-page/declarations' +import { type CredentialFormSchema, type FormOption, FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import { BlockEnum } from '@/app/components/workflow/types' import { VarBlockIcon } from '@/app/components/workflow/block-icon' import { Line3 } from '@/app/components/base/icons/src/public/common' @@ -40,6 +42,8 @@ import Tooltip from '@/app/components/base/tooltip' import { isExceptionVariable } from '@/app/components/workflow/utils' import VarFullPathPanel from './var-full-path-panel' import { noop } from 'lodash-es' +import { useFetchDynamicOptions } from '@/service/use-plugins' +import type { Tool } from '@/app/components/tools/types' const TRIGGER_DEFAULT_WIDTH = 227 @@ -68,6 +72,8 @@ type Props = { minWidth?: number popupFor?: 'assigned' | 'toAssigned' zIndex?: number + currentTool?: Tool + currentProvider?: ToolWithProvider } const DEFAULT_VALUE_SELECTOR: Props['value'] = [] @@ -97,6 +103,8 @@ const VarReferencePicker: FC = ({ minWidth, popupFor, zIndex, + currentTool, + currentProvider, }) => { const { t } = useTranslation() const store = useStoreApi() @@ -316,6 +324,42 @@ const VarReferencePicker: FC = ({ return null }, [isValidVar, isShowAPart, hasValue, t, outputVarNode?.title, outputVarNode?.type, value, type]) + + const [dynamicOptions, setDynamicOptions] = useState(null) + const [isLoading, setIsLoading] = useState(false) + const { mutateAsync: fetchDynamicOptions } = useFetchDynamicOptions( + currentProvider?.plugin_id || '', currentProvider?.name || '', currentTool?.name || '', (schema as CredentialFormSchemaSelect)?.variable || '', + 'tool', + ) + const handleFetchDynamicOptions = async () => { + if (schema?.type !== FormTypeEnum.dynamicSelect || !currentTool || !currentProvider) + return + setIsLoading(true) + try { + const data = await fetchDynamicOptions() + setDynamicOptions(data?.options || []) + } + finally { + setIsLoading(false) + } + } + useEffect(() => { + handleFetchDynamicOptions() + }, [currentTool, currentProvider, schema]) + + const schemaWithDynamicSelect = useMemo(() => { + if (schema?.type !== FormTypeEnum.dynamicSelect) + return schema + // rewrite schema.options with dynamicOptions + if (dynamicOptions) { + return { + ...schema, + options: dynamicOptions, + } + } + return schema + }, [dynamicOptions]) + return (
= ({ void)} - schema={schema as CredentialFormSchema} + schema={schemaWithDynamicSelect as CredentialFormSchema} readonly={readonly} + isLoading={isLoading} /> ) : ( @@ -412,6 +457,7 @@ const VarReferencePicker: FC = ({ )}
{!hasValue && } + {isLoading && } {isEnv && } {isChatVar && }
= ({ {!isValidVar && } ) - :
{placeholder ?? t('workflow.common.setVarValuePlaceholder')}
} + :
+ {isLoading ? ( +
+ + {placeholder ?? t('workflow.common.setVarValuePlaceholder')} +
+ ) : ( + placeholder ?? t('workflow.common.setVarValuePlaceholder') + )} +
}
diff --git a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx index 1a609c58f5..244e54a5f2 100644 --- a/web/app/components/workflow/nodes/tool/components/input-var-list.tsx +++ b/web/app/components/workflow/nodes/tool/components/input-var-list.tsx @@ -6,7 +6,7 @@ import { useTranslation } from 'react-i18next' import type { ToolVarInputs } from '../types' import { VarType as VarKindType } from '../types' import cn from '@/utils/classnames' -import type { ValueSelector, Var } from '@/app/components/workflow/types' +import type { ToolWithProvider, ValueSelector, Var } from '@/app/components/workflow/types' import type { CredentialFormSchema } from '@/app/components/header/account-setting/model-provider-page/declarations' import { FormTypeEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import { useLanguage } from '@/app/components/header/account-setting/model-provider-page/hooks' @@ -17,6 +17,7 @@ import { VarType } from '@/app/components/workflow/types' import AppSelector from '@/app/components/plugins/plugin-detail-panel/app-selector' import ModelParameterModal from '@/app/components/plugins/plugin-detail-panel/model-selector' import { noop } from 'lodash-es' +import type { Tool } from '@/app/components/tools/types' type Props = { readOnly: boolean @@ -27,6 +28,8 @@ type Props = { onOpen?: (index: number) => void isSupportConstantValue?: boolean filterVar?: (payload: Var, valueSelector: ValueSelector) => boolean + currentTool?: Tool + currentProvider?: ToolWithProvider } const InputVarList: FC = ({ @@ -38,6 +41,8 @@ const InputVarList: FC = ({ onOpen = noop, isSupportConstantValue, filterVar, + currentTool, + currentProvider, }) => { const language = useLanguage() const { t } = useTranslation() @@ -58,6 +63,8 @@ const InputVarList: FC = ({ return 'ModelSelector' else if (type === FormTypeEnum.toolSelector) return 'ToolSelector' + else if (type === FormTypeEnum.dynamicSelect || type === FormTypeEnum.select) + return 'Select' else return 'String' } @@ -149,6 +156,7 @@ const InputVarList: FC = ({ const handleOpen = useCallback((index: number) => { return () => onOpen(index) }, [onOpen]) + return (
{ @@ -163,7 +171,8 @@ const InputVarList: FC = ({ } = schema const varInput = value[variable] const isNumber = type === FormTypeEnum.textNumber - const isSelect = type === FormTypeEnum.select + const isDynamicSelect = type === FormTypeEnum.dynamicSelect + const isSelect = type === FormTypeEnum.select || type === FormTypeEnum.dynamicSelect const isFile = type === FormTypeEnum.file || type === FormTypeEnum.files const isAppSelector = type === FormTypeEnum.appSelector const isModelSelector = type === FormTypeEnum.modelSelector @@ -198,11 +207,13 @@ const InputVarList: FC = ({ value={varInput?.type === VarKindType.constant ? (varInput?.value ?? '') : (varInput?.value ?? [])} onChange={handleNotMixedTypeChange(variable)} onOpen={handleOpen(index)} - defaultVarKindType={varInput?.type || (isNumber ? VarKindType.constant : VarKindType.variable)} + defaultVarKindType={varInput?.type || ((isNumber || isDynamicSelect) ? VarKindType.constant : VarKindType.variable)} isSupportConstantValue={isSupportConstantValue} filterVar={isNumber ? filterVar : undefined} availableVars={isSelect ? availableVars : undefined} schema={schema} + currentTool={currentTool} + currentProvider={currentProvider} /> )} {isFile && ( diff --git a/web/app/components/workflow/nodes/tool/panel.tsx b/web/app/components/workflow/nodes/tool/panel.tsx index 5dd5242c71..038159870e 100644 --- a/web/app/components/workflow/nodes/tool/panel.tsx +++ b/web/app/components/workflow/nodes/tool/panel.tsx @@ -42,6 +42,7 @@ const Panel: FC> = ({ isLoading, outputSchema, hasObjectOutput, + currTool, } = useConfig(id, data) if (isLoading) { @@ -80,6 +81,8 @@ const Panel: FC> = ({ filterVar={filterVar} isSupportConstantValue onOpen={handleOnVarOpen} + currentProvider={currCollection} + currentTool={currTool} /> )} diff --git a/web/app/components/workflow/panel/index.tsx b/web/app/components/workflow/panel/index.tsx index 775191ecee..5ecf0d2af2 100644 --- a/web/app/components/workflow/panel/index.tsx +++ b/web/app/components/workflow/panel/index.tsx @@ -1,5 +1,5 @@ import type { FC } from 'react' -import { memo, useEffect, useRef } from 'react' +import { memo, useCallback, useEffect, useRef } from 'react' import { useNodes } from 'reactflow' import type { CommonNodeType } from '../types' import { Panel as NodePanel } from '../nodes' @@ -13,6 +13,51 @@ export type PanelProps = { right?: React.ReactNode } } + +/** + * Reference MDN standard implementation：https://developer.mozilla.org/zh-CN/docs/Web/API/ResizeObserverEntry/borderBoxSize + */ +const getEntryWidth = (entry: ResizeObserverEntry, element: HTMLElement): number => { + if (entry.borderBoxSize?.length > 0) + return entry.borderBoxSize[0].inlineSize + + if (entry.contentRect.width > 0) + return entry.contentRect.width + + return element.getBoundingClientRect().width +} + +const useResizeObserver = ( + callback: (width: number) => void, + dependencies: React.DependencyList = [], +) => { + const elementRef = useRef(null) + + const stableCallback = useCallback(callback, [callback]) + + useEffect(() => { + const element = elementRef.current + if (!element) return + + const resizeObserver = new ResizeObserver((entries) => { + for (const entry of entries) { + const width = getEntryWidth(entry, element) + stableCallback(width) + } + }) + + resizeObserver.observe(element) + + const initialWidth = element.getBoundingClientRect().width + stableCallback(initialWidth) + + return () => { + resizeObserver.disconnect() + } + }, [stableCallback, ...dependencies]) + return elementRef +} + const Panel: FC = ({ components, }) => { @@ -20,44 +65,21 @@ const Panel: FC = ({ const selectedNode = nodes.find(node => node.data.selected) const showEnvPanel = useStore(s => s.showEnvPanel) const isRestoring = useStore(s => s.isRestoring) + const showWorkflowVersionHistoryPanel = useStore(s => s.showWorkflowVersionHistoryPanel) - const rightPanelRef = useRef(null) const setRightPanelWidth = useStore(s => s.setRightPanelWidth) - - // get right panel width - useEffect(() => { - if (rightPanelRef.current) { - const resizeRightPanelObserver = new ResizeObserver((entries) => { - for (const entry of entries) { - const { inlineSize } = entry.borderBoxSize[0] - setRightPanelWidth(inlineSize) - } - }) - resizeRightPanelObserver.observe(rightPanelRef.current) - return () => { - resizeRightPanelObserver.disconnect() - } - } - }, [setRightPanelWidth]) - - const otherPanelRef = useRef(null) const setOtherPanelWidth = useStore(s => s.setOtherPanelWidth) - // get other panel width - useEffect(() => { - if (otherPanelRef.current) { - const resizeOtherPanelObserver = new ResizeObserver((entries) => { - for (const entry of entries) { - const { inlineSize } = entry.borderBoxSize[0] - setOtherPanelWidth(inlineSize) - } - }) - resizeOtherPanelObserver.observe(otherPanelRef.current) - return () => { - resizeOtherPanelObserver.disconnect() - } - } - }, [setOtherPanelWidth]) + const rightPanelRef = useResizeObserver( + setRightPanelWidth, + [setRightPanelWidth, selectedNode, showEnvPanel, showWorkflowVersionHistoryPanel], + ) + + const otherPanelRef = useResizeObserver( + setOtherPanelWidth, + [setOtherPanelWidth, showEnvPanel, showWorkflowVersionHistoryPanel], + ) + return (
= ({ className={cn('absolute bottom-1 right-0 top-14 z-10 flex outline-none')} key={`${isRestoring}`} > - { - components?.left - } - { - !!selectedNode && ( - - ) - } + {components?.left} + {!!selectedNode && }
- { - components?.right - } - { - showEnvPanel && ( - - ) - } + {components?.right} + {showEnvPanel && }
) diff --git a/web/app/components/workflow/run/node.tsx b/web/app/components/workflow/run/node.tsx index 9555cbd087..a4df5f4c74 100644 --- a/web/app/components/workflow/run/node.tsx +++ b/web/app/components/workflow/run/node.tsx @@ -29,6 +29,7 @@ import type { import ErrorHandleTip from '@/app/components/workflow/nodes/_base/components/error-handle/error-handle-tip' import { hasRetryNode } from '@/app/components/workflow/utils' import { useDocLink } from '@/context/i18n' +import Tooltip from '@/app/components/base/tooltip' type Props = { className?: string @@ -129,10 +130,16 @@ const NodePanel: FC = ({ /> )} -
{nodeInfo.title}
+ {nodeInfo.title}
+ } + > +
{nodeInfo.title}
+ {nodeInfo.status !== 'running' && !hideInfo && (
{nodeInfo.execution_metadata?.total_tokens ? `${getTokenCount(nodeInfo.execution_metadata?.total_tokens || 0)} tokens · ` : ''}{`${getTime(nodeInfo.elapsed_time || 0)}`}
)} diff --git a/web/app/components/workflow/variable-inspect/trigger.tsx b/web/app/components/workflow/variable-inspect/trigger.tsx index 0107b0b3e3..a45c589ab9 100644 --- a/web/app/components/workflow/variable-inspect/trigger.tsx +++ b/web/app/components/workflow/variable-inspect/trigger.tsx @@ -12,6 +12,7 @@ import type { CommonNodeType } from '@/app/components/workflow/types' import { useEventEmitterContextContext } from '@/context/event-emitter' import { EVENT_WORKFLOW_STOP } from '@/app/components/workflow/variable-inspect/types' import cn from '@/utils/classnames' +import { useNodesReadOnly } from '../hooks/use-workflow' const VariableInspectTrigger: FC = () => { const { t } = useTranslation() @@ -32,7 +33,10 @@ const VariableInspectTrigger: FC = () => { const allVars = [...environmentVariables, ...conversationVars, ...systemVars, ...nodesWithInspectVars] return allVars }, [environmentVariables, conversationVars, systemVars, nodesWithInspectVars]) - + const { + nodesReadOnly, + getNodesReadOnly, + } = useNodesReadOnly() const workflowRunningData = useStore(s => s.workflowRunningData) const nodes = useNodes() const isStepRunning = useMemo(() => nodes.some(node => node.data._singleRunningStatus === NodeRunningStatus.Running), [nodes]) @@ -61,8 +65,14 @@ const VariableInspectTrigger: FC = () => {
{!isRunning && !currentVars.length && (
setShowVariableInspectPanel(true)} + className={cn('system-2xs-semibold-uppercase flex h-5 cursor-pointer items-center gap-1 rounded-md border-[0.5px] border-effects-highlight bg-components-actionbar-bg px-2 text-text-tertiary shadow-lg backdrop-blur-sm hover:bg-background-default-hover', + nodesReadOnly && 'cursor-not-allowed text-text-disabled hover:bg-transparent hover:text-text-disabled', + )} + onClick={() => { + if (getNodesReadOnly()) + return + setShowVariableInspectPanel(true) + }} > {t('workflow.debug.variableInspect.trigger.normal')}
@@ -70,13 +80,21 @@ const VariableInspectTrigger: FC = () => { {!isRunning && currentVars.length > 0 && ( <>
setShowVariableInspectPanel(true)} + className={cn('system-xs-medium flex h-6 cursor-pointer items-center gap-1 rounded-md border-[0.5px] border-effects-highlight bg-components-actionbar-bg px-2 text-text-accent shadow-lg backdrop-blur-sm hover:bg-components-actionbar-bg-accent', + nodesReadOnly && 'cursor-not-allowed text-text-disabled hover:bg-transparent hover:text-text-disabled', + )} + onClick={() => { + if (getNodesReadOnly()) + return + setShowVariableInspectPanel(true) + }} > {t('workflow.debug.variableInspect.trigger.cached')}
{t('workflow.debug.variableInspect.trigger.clear')} diff --git a/web/app/styles/globals.css b/web/app/styles/globals.css index 52e36a2767..353cfa2fff 100644 --- a/web/app/styles/globals.css +++ b/web/app/styles/globals.css @@ -697,4 +697,15 @@ button:focus-within { -ms-overflow-style: none; scrollbar-width: none; } + + /* Hide arrows from number input */ + .no-spinner::-webkit-outer-spin-button, + .no-spinner::-webkit-inner-spin-button { + -webkit-appearance: none; + margin: 0; + } + + .no-spinner { + -moz-appearance: textfield; + } } diff --git a/web/i18n/en-US/dataset-documents.ts b/web/i18n/en-US/dataset-documents.ts index 2a79324477..7d0a3541a0 100644 --- a/web/i18n/en-US/dataset-documents.ts +++ b/web/i18n/en-US/dataset-documents.ts @@ -355,7 +355,9 @@ const translation = { newChildChunk: 'New Child Chunk', keywords: 'KEYWORDS', addKeyWord: 'Add keyword', + keywordEmpty: 'The keyword cannot be empty', keywordError: 'The maximum length of keyword is 20', + keywordDuplicate: 'The keyword already exists', characters_one: 'character', characters_other: 'characters', hitCount: 'Retrieval count', diff --git a/web/service/use-plugins.ts b/web/service/use-plugins.ts index 1b6bda5715..86f8134a5d 100644 --- a/web/service/use-plugins.ts +++ b/web/service/use-plugins.ts @@ -1,5 +1,6 @@ import { useCallback, useEffect } from 'react' import type { + FormOption, ModelProvider, } from '@/app/components/header/account-setting/model-provider-page/declarations' import { fetchModelProviderModelList } from '@/service/common' @@ -518,7 +519,7 @@ export const usePluginTaskList = (category?: PluginType) => { refreshPluginList(category ? { category } as any : undefined, !category) } } - // eslint-disable-next-line react-hooks/exhaustive-deps + // eslint-disable-next-line react-hooks/exhaustive-deps }, [isRefetching]) const handleRefetch = useCallback(() => { @@ -612,3 +613,17 @@ export const usePluginInfo = (providerName?: string) => { enabled: !!providerName, }) } + +export const useFetchDynamicOptions = (plugin_id: string, provider: string, action: string, parameter: string, provider_type: 'tool') => { + return useMutation({ + mutationFn: () => get<{ options: FormOption[] }>('/workspaces/current/plugin/parameters/dynamic-options', { + params: { + plugin_id, + provider, + action, + parameter, + provider_type, + }, + }), + }) +}