diff --git a/api/commands.py b/api/commands.py index b6f3b52d04..09548ac9f3 100644 --- a/api/commands.py +++ b/api/commands.py @@ -259,7 +259,7 @@ def migrate_knowledge_vector_database(): skipped_count = 0 total_count = 0 vector_type = dify_config.VECTOR_STORE - upper_colletion_vector_types = { + upper_collection_vector_types = { VectorType.MILVUS, VectorType.PGVECTOR, VectorType.RELYT, @@ -267,7 +267,7 @@ def migrate_knowledge_vector_database(): VectorType.ORACLE, VectorType.ELASTICSEARCH, } - lower_colletion_vector_types = { + lower_collection_vector_types = { VectorType.ANALYTICDB, VectorType.CHROMA, VectorType.MYSCALE, @@ -307,7 +307,7 @@ def migrate_knowledge_vector_database(): continue collection_name = "" dataset_id = dataset.id - if vector_type in upper_colletion_vector_types: + if vector_type in upper_collection_vector_types: collection_name = Dataset.gen_collection_name_by_id(dataset_id) elif vector_type == VectorType.QDRANT: if dataset.collection_binding_id: @@ -323,7 +323,7 @@ def migrate_knowledge_vector_database(): else: collection_name = Dataset.gen_collection_name_by_id(dataset_id) - elif vector_type in lower_colletion_vector_types: + elif vector_type in lower_collection_vector_types: collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower() else: raise ValueError(f"Vector store {vector_type} is not supported.") diff --git a/api/core/app/apps/README.md b/api/core/app/apps/README.md index 856690dc57..7a57bb3658 100644 --- a/api/core/app/apps/README.md +++ b/api/core/app/apps/README.md @@ -2,7 +2,7 @@ Due to the presence of tasks in App Runner that require long execution times, such as LLM generation and external requests, Flask-Sqlalchemy's strategy for database connection pooling is to allocate one connection (transaction) per request. This approach keeps a connection occupied even during non-DB tasks, leading to the inability to acquire new connections during high concurrency requests due to multiple long-running tasks. -Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid deattach errors. +Therefore, the database operations in App Runner and Task Pipeline must ensure connections are closed immediately after use, and it's better to pass IDs rather than Model objects to avoid detach errors. Examples: diff --git a/api/core/model_runtime/docs/zh_Hans/interfaces.md b/api/core/model_runtime/docs/zh_Hans/interfaces.md index 78086cc328..6022c1cbeb 100644 --- a/api/core/model_runtime/docs/zh_Hans/interfaces.md +++ b/api/core/model_runtime/docs/zh_Hans/interfaces.md @@ -91,7 +91,7 @@ class XinferenceProvider(Provider): """ ``` - 也可以直接抛出对应Erros，并做如下定义，这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。 + 也可以直接抛出对应 Errors，并做如下定义，这样在之后的调用中可以直接抛出`InvokeConnectionError`等异常。 ```python @property diff --git a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml index 952f968b9d..99013a95d2 100644 --- a/api/core/model_runtime/model_providers/bedrock/bedrock.yaml +++ b/api/core/model_runtime/model_providers/bedrock/bedrock.yaml @@ -16,6 +16,7 @@ help: supported_model_types: - llm - text-embedding + - rerank configurate_methods: - predefined-model provider_credential_schema: diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml new file mode 100644 index 0000000000..5aaf50473e --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-lite-v1.yaml @@ -0,0 +1,52 @@ +model: amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml new file mode 100644 index 0000000000..4ba8da660b --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml new file mode 100644 index 0000000000..75e53e74a9 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/amazon.nova-pro-v1.yaml @@ -0,0 +1,52 @@ +model: amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/llm.py b/api/core/model_runtime/model_providers/bedrock/llm/llm.py index ef4dfaf6f1..e6e8a765ee 100644 --- a/api/core/model_runtime/model_providers/bedrock/llm/llm.py +++ b/api/core/model_runtime/model_providers/bedrock/llm/llm.py @@ -70,6 +70,8 @@ class BedrockLargeLanguageModel(LargeLanguageModel): {"prefix": "cohere.command-r", "support_system_prompts": True, "support_tool_use": True}, {"prefix": "amazon.titan", "support_system_prompts": False, "support_tool_use": False}, {"prefix": "ai21.jamba-1-5", "support_system_prompts": True, "support_tool_use": False}, + {"prefix": "amazon.nova", "support_system_prompts": True, "support_tool_use": False}, + {"prefix": "us.amazon.nova", "support_system_prompts": True, "support_tool_use": False}, ] @staticmethod @@ -194,6 +196,13 @@ class BedrockLargeLanguageModel(LargeLanguageModel): if model_info["support_tool_use"] and tools: parameters["toolConfig"] = self._convert_converse_tool_config(tools=tools) try: + # for issue #10976 + conversations_list = parameters["messages"] + # if two consecutive user messages found, combine them into one message + for i in range(len(conversations_list) - 2, -1, -1): + if conversations_list[i]["role"] == conversations_list[i + 1]["role"]: + conversations_list[i]["content"].extend(conversations_list.pop(i + 1)["content"]) + if stream: response = bedrock_client.converse_stream(**parameters) return self._handle_converse_stream_response( diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml new file mode 100644 index 0000000000..594f304617 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-lite-v1.yaml @@ -0,0 +1,52 @@ +model: us.amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml new file mode 100644 index 0000000000..4662d0a203 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: us.amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml new file mode 100644 index 0000000000..dfb3e5f210 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/llm/us.amazon.nova-pro-v1.yaml @@ -0,0 +1,52 @@ +model: us.amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py b/api/core/model_runtime/model_providers/bedrock/rerank/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml new file mode 100644 index 0000000000..6109b25786 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/_position.yaml @@ -0,0 +1,2 @@ +- amazon.rerank-v1 +- cohere.rerank-v3-5 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml new file mode 100644 index 0000000000..b91dc3308b --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/amazon.rerank-v1.yaml @@ -0,0 +1,4 @@ +model: amazon.rerank-v1:0 +model_type: rerank +model_properties: + context_size: 5120 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml b/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml new file mode 100644 index 0000000000..c250c8f0a1 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/cohere.rerank-v3-5.yaml @@ -0,0 +1,4 @@ +model: cohere.rerank-v3-5:0 +model_type: rerank +model_properties: + context_size: 5120 diff --git a/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py new file mode 100644 index 0000000000..397f65e8c9 --- /dev/null +++ b/api/core/model_runtime/model_providers/bedrock/rerank/rerank.py @@ -0,0 +1,147 @@ +from typing import Optional + +import boto3 +from botocore.config import Config + +from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult +from core.model_runtime.errors.invoke import ( + InvokeAuthorizationError, + InvokeBadRequestError, + InvokeConnectionError, + InvokeError, + InvokeRateLimitError, + InvokeServerUnavailableError, +) +from core.model_runtime.errors.validate import CredentialsValidateFailedError +from core.model_runtime.model_providers.__base.rerank_model import RerankModel + + +class BedrockRerankModel(RerankModel): + """ + Model class for Cohere rerank model. + """ + + def _invoke( + self, + model: str, + credentials: dict, + query: str, + docs: list[str], + score_threshold: Optional[float] = None, + top_n: Optional[int] = None, + user: Optional[str] = None, + ) -> RerankResult: + """ + Invoke rerank model + + :param model: model name + :param credentials: model credentials + :param query: search query + :param docs: docs for reranking + :param score_threshold: score threshold + :param top_n: top n + :param user: unique user id + :return: rerank result + """ + + if len(docs) == 0: + return RerankResult(model=model, docs=docs) + + # initialize client + client_config = Config(region_name=credentials["aws_region"]) + bedrock_runtime = boto3.client( + service_name="bedrock-agent-runtime", + config=client_config, + aws_access_key_id=credentials.get("aws_access_key_id", ""), + aws_secret_access_key=credentials.get("aws_secret_access_key"), + ) + queries = [{"type": "TEXT", "textQuery": {"text": query}}] + text_sources = [] + for text in docs: + text_sources.append( + { + "type": "INLINE", + "inlineDocumentSource": { + "type": "TEXT", + "textDocument": { + "text": text, + }, + }, + } + ) + modelId = model + region = credentials["aws_region"] + model_package_arn = f"arn:aws:bedrock:{region}::foundation-model/{modelId}" + rerankingConfiguration = { + "type": "BEDROCK_RERANKING_MODEL", + "bedrockRerankingConfiguration": { + "numberOfResults": top_n, + "modelConfiguration": { + "modelArn": model_package_arn, + }, + }, + } + response = bedrock_runtime.rerank( + queries=queries, sources=text_sources, rerankingConfiguration=rerankingConfiguration + ) + + rerank_documents = [] + for idx, result in enumerate(response["results"]): + # format document + index = result["index"] + rerank_document = RerankDocument( + index=index, + text=docs[index], + score=result["relevanceScore"], + ) + + # score threshold check + if score_threshold is not None: + if rerank_document.score >= score_threshold: + rerank_documents.append(rerank_document) + else: + rerank_documents.append(rerank_document) + + return RerankResult(model=model, docs=rerank_documents) + + def validate_credentials(self, model: str, credentials: dict) -> None: + """ + Validate model credentials + + :param model: model name + :param credentials: model credentials + :return: + """ + try: + self.invoke( + model=model, + credentials=credentials, + query="What is the capital of the United States?", + docs=[ + "Carson City is the capital city of the American state of Nevada. At the 2010 United States " + "Census, Carson City had a population of 55,274.", + "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that " + "are a political division controlled by the United States. Its capital is Saipan.", + ], + score_threshold=0.8, + ) + except Exception as ex: + raise CredentialsValidateFailedError(str(ex)) + + @property + def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]: + """ + Map model invoke error to unified error + The key is the ermd = genai.GenerativeModel(model) error type thrown to the caller + The value is the md = genai.GenerativeModel(model) error type thrown by the model, + which needs to be converted into a unified error type for the caller. + + :return: Invoke emd = genai.GenerativeModel(model) error mapping + """ + return { + InvokeConnectionError: [], + InvokeServerUnavailableError: [], + InvokeRateLimitError: [], + InvokeAuthorizationError: [], + InvokeBadRequestError: [], + } diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml index 7c8da51d1b..035d9881eb 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-0520.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml index 7a7b4b0892..c3ee76141d 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-air.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml index 09ad842801..1926db7ac3 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-airx.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 8192 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml index aee82a0602..e54b5de4a1 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flash.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml index 40ff7609c7..724fe48909 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm-4-flashx.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml index 791a77ba15..fa5b1e1fe9 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_3_turbo.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml index 13ed1e49c9..e1eb13df3d 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml index badcee22db..c0c4e04d37 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_long.yaml @@ -8,7 +8,7 @@ features: - stream-tool-call model_properties: mode: chat - context_size: 10240 + context_size: 1048576 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml index e2f785e1bc..c4f26f8ba9 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4_plus.yaml @@ -8,6 +8,7 @@ features: - stream-tool-call model_properties: mode: chat + context_size: 131072 parameter_rules: - name: temperature use_template: temperature diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml index 3baa298300..0d99f89cb8 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v.yaml @@ -4,6 +4,7 @@ label: model_type: llm model_properties: mode: chat + context_size: 2048 features: - vision parameter_rules: diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml index dbda18b888..5cd0e16b0e 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml +++ b/api/core/model_runtime/model_providers/zhipuai/llm/glm_4v_plus.yaml @@ -4,6 +4,7 @@ label: model_type: llm model_properties: mode: chat + context_size: 8192 features: - vision - video diff --git a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py index eddb94aba3..e0601d681c 100644 --- a/api/core/model_runtime/model_providers/zhipuai/llm/llm.py +++ b/api/core/model_runtime/model_providers/zhipuai/llm/llm.py @@ -22,18 +22,6 @@ from core.model_runtime.model_providers.__base.large_language_model import Large from core.model_runtime.model_providers.zhipuai._common import _CommonZhipuaiAI from core.model_runtime.utils import helper -GLM_JSON_MODE_PROMPT = """You should always follow the instructions and output a valid JSON object. -The structure of the JSON object you can found in the instructions, use {"answer": "$your_answer"} as the default structure -if you are not sure about the structure. - -And you should always end the block with a "```" to indicate the end of the JSON object. - - -{{instructions}} - - -```JSON""" # noqa: E501 - class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): def _invoke( @@ -64,42 +52,8 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): credentials_kwargs = self._to_credential_kwargs(credentials) # invoke model - # stop = stop or [] - # self._transform_json_prompts(model, credentials, prompt_messages, model_parameters, tools, stop, stream, user) return self._generate(model, credentials_kwargs, prompt_messages, model_parameters, tools, stop, stream, user) - # def _transform_json_prompts(self, model: str, credentials: dict, - # prompt_messages: list[PromptMessage], model_parameters: dict, - # tools: list[PromptMessageTool] | None = None, stop: list[str] | None = None, - # stream: bool = True, user: str | None = None) \ - # -> None: - # """ - # Transform json prompts to model prompts - # """ - # if "}\n\n" not in stop: - # stop.append("}\n\n") - - # # check if there is a system message - # if len(prompt_messages) > 0 and isinstance(prompt_messages[0], SystemPromptMessage): - # # override the system message - # prompt_messages[0] = SystemPromptMessage( - # content=GLM_JSON_MODE_PROMPT.replace("{{instructions}}", prompt_messages[0].content) - # ) - # else: - # # insert the system message - # prompt_messages.insert(0, SystemPromptMessage( - # content=GLM_JSON_MODE_PROMPT.replace("{{instructions}}", "Please output a valid JSON object.") - # )) - # # check if the last message is a user message - # if len(prompt_messages) > 0 and isinstance(prompt_messages[-1], UserPromptMessage): - # # add ```JSON\n to the last message - # prompt_messages[-1].content += "\n```JSON\n" - # else: - # # append a user message - # prompt_messages.append(UserPromptMessage( - # content="```JSON\n" - # )) - def get_num_tokens( self, model: str, @@ -170,7 +124,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): :return: full response or stream response chunk generator result """ extra_model_kwargs = {} - # request to glm-4v-plus with stop words will always response "finish_reason":"network_error" + # request to glm-4v-plus with stop words will always respond "finish_reason":"network_error" if stop and model != "glm-4v-plus": extra_model_kwargs["stop"] = stop @@ -186,7 +140,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): # resolve zhipuai model not support system message and user message, assistant message must be in sequence new_prompt_messages: list[PromptMessage] = [] for prompt_message in prompt_messages: - copy_prompt_message = prompt_message.copy() + copy_prompt_message = prompt_message.model_copy() if copy_prompt_message.role in {PromptMessageRole.USER, PromptMessageRole.SYSTEM, PromptMessageRole.TOOL}: if isinstance(copy_prompt_message.content, list): # check if model is 'glm-4v' @@ -238,59 +192,38 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): params = self._construct_glm_4v_parameter(model, new_prompt_messages, model_parameters) else: params = {"model": model, "messages": [], **model_parameters} - # glm model - if not model.startswith("chatglm"): - for prompt_message in new_prompt_messages: - if prompt_message.role == PromptMessageRole.TOOL: + for prompt_message in new_prompt_messages: + if prompt_message.role == PromptMessageRole.TOOL: + params["messages"].append( + { + "role": "tool", + "content": prompt_message.content, + "tool_call_id": prompt_message.tool_call_id, + } + ) + elif isinstance(prompt_message, AssistantPromptMessage): + if prompt_message.tool_calls: params["messages"].append( { - "role": "tool", + "role": "assistant", "content": prompt_message.content, - "tool_call_id": prompt_message.tool_call_id, + "tool_calls": [ + { + "id": tool_call.id, + "type": tool_call.type, + "function": { + "name": tool_call.function.name, + "arguments": tool_call.function.arguments, + }, + } + for tool_call in prompt_message.tool_calls + ], } ) - elif isinstance(prompt_message, AssistantPromptMessage): - if prompt_message.tool_calls: - params["messages"].append( - { - "role": "assistant", - "content": prompt_message.content, - "tool_calls": [ - { - "id": tool_call.id, - "type": tool_call.type, - "function": { - "name": tool_call.function.name, - "arguments": tool_call.function.arguments, - }, - } - for tool_call in prompt_message.tool_calls - ], - } - ) - else: - params["messages"].append({"role": "assistant", "content": prompt_message.content}) else: - params["messages"].append( - {"role": prompt_message.role.value, "content": prompt_message.content} - ) - else: - # chatglm model - for prompt_message in new_prompt_messages: - # merge system message to user message - if prompt_message.role in { - PromptMessageRole.SYSTEM, - PromptMessageRole.TOOL, - PromptMessageRole.USER, - }: - if len(params["messages"]) > 0 and params["messages"][-1]["role"] == "user": - params["messages"][-1]["content"] += "\n\n" + prompt_message.content - else: - params["messages"].append({"role": "user", "content": prompt_message.content}) - else: - params["messages"].append( - {"role": prompt_message.role.value, "content": prompt_message.content} - ) + params["messages"].append({"role": "assistant", "content": prompt_message.content}) + else: + params["messages"].append({"role": prompt_message.role.value, "content": prompt_message.content}) if tools and len(tools) > 0: params["tools"] = [{"type": "function", "function": helper.dump_model(tool)} for tool in tools] @@ -406,7 +339,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): Handle llm stream response :param model: model name - :param response: response + :param responses: response :param prompt_messages: prompt messages :return: llm response chunk generator result """ @@ -505,7 +438,7 @@ class ZhipuAILargeLanguageModel(_CommonZhipuaiAI, LargeLanguageModel): if tools and len(tools) > 0: text += "\n\nTools:" for tool in tools: - text += f"\n{tool.json()}" + text += f"\n{tool.model_dump_json()}" # trim off the trailing ' ' that might come from the "Assistant: " return text.rstrip() diff --git a/api/core/prompt/prompt_templates/advanced_prompt_templates.py b/api/core/prompt/prompt_templates/advanced_prompt_templates.py index 0ab7f526cc..e55966eeee 100644 --- a/api/core/prompt/prompt_templates/advanced_prompt_templates.py +++ b/api/core/prompt/prompt_templates/advanced_prompt_templates.py @@ -5,7 +5,7 @@ BAICHUAN_CONTEXT = "用户在与一个客观的助手对话。助手会尊重找 CHAT_APP_COMPLETION_PROMPT_CONFIG = { "completion_prompt_config": { "prompt": { - "text": "{{#pre_prompt#}}\nHere is the chat histories between human and assistant, inside XML tags.\n\n\n{{#histories#}}\n\n\n\nHuman: {{#query#}}\n\nAssistant: " # noqa: E501 + "text": "{{#pre_prompt#}}\nHere are the chat histories between human and assistant, inside XML tags.\n\n\n{{#histories#}}\n\n\n\nHuman: {{#query#}}\n\nAssistant: " # noqa: E501 }, "conversation_histories_role": {"user_prefix": "Human", "assistant_prefix": "Assistant"}, }, diff --git a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py index a38f84636e..cfd47aac5b 100644 --- a/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py +++ b/api/core/rag/datasource/vdb/tidb_on_qdrant/tidb_on_qdrant_vector.py @@ -375,7 +375,6 @@ class TidbOnQdrantVector(BaseVector): for result in results: if result: document = self._document_from_scored_point(result, Field.CONTENT_KEY.value, Field.METADATA_KEY.value) - document.metadata["vector"] = result.vector documents.append(document) return documents @@ -394,6 +393,7 @@ class TidbOnQdrantVector(BaseVector): ) -> Document: return Document( page_content=scored_point.payload.get(content_payload_key), + vector=scored_point.vector, metadata=scored_point.payload.get(metadata_payload_key) or {}, ) diff --git a/api/core/rag/extractor/word_extractor.py b/api/core/rag/extractor/word_extractor.py index 0c38a9c076..1f9e99f91a 100644 --- a/api/core/rag/extractor/word_extractor.py +++ b/api/core/rag/extractor/word_extractor.py @@ -50,7 +50,7 @@ class WordExtractor(BaseExtractor): self.web_path = self.file_path # TODO: use a better way to handle the file - self.temp_file = tempfile.NamedTemporaryFile() # noqa: SIM115 + self.temp_file = tempfile.NamedTemporaryFile() self.temp_file.write(r.content) self.file_path = self.temp_file.name elif not os.path.isfile(self.file_path): diff --git a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml index 4c886b69c0..81adb3db7d 100644 --- a/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml +++ b/api/core/tools/provider/builtin/gitlab/tools/gitlab_mergerequests.yaml @@ -6,9 +6,9 @@ identity: zh_Hans: GitLab 合并请求查询 description: human: - en_US: A tool for query GitLab merge requests, Input should be a exists reposity or branch. + en_US: A tool for query GitLab merge requests, Input should be a exists repository or branch. zh_Hans: 一个用于查询 GitLab 代码合并请求的工具，输入的内容应该是一个已存在的仓库名或者分支。 - llm: A tool for query GitLab merge requests, Input should be a exists reposity or branch. + llm: A tool for query GitLab merge requests, Input should be a exists repository or branch. parameters: - name: repository type: string diff --git a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py index 9dc5bed824..9b24be7cab 100644 --- a/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py +++ b/api/core/tools/provider/builtin/wolframalpha/tools/wolframalpha.py @@ -61,7 +61,7 @@ class WolframAlphaTool(BuiltinTool): params["input"] = query else: finished = True - if "souces" in response_data["queryresult"]: + if "sources" in response_data["queryresult"]: return self.create_link_message(response_data["queryresult"]["sources"]["url"]) elif "pods" in response_data["queryresult"]: result = response_data["queryresult"]["pods"][0]["subpods"][0]["plaintext"] diff --git a/api/core/workflow/nodes/http_request/node.py b/api/core/workflow/nodes/http_request/node.py index b0c6e58244..2a92a16ede 100644 --- a/api/core/workflow/nodes/http_request/node.py +++ b/api/core/workflow/nodes/http_request/node.py @@ -1,11 +1,9 @@ import logging from collections.abc import Mapping, Sequence -from mimetypes import guess_extension -from os import path from typing import Any from configs import dify_config -from core.file import File, FileTransferMethod, FileType +from core.file import File, FileTransferMethod from core.tools.tool_file_manager import ToolFileManager from core.workflow.entities.node_entities import NodeRunResult from core.workflow.entities.variable_entities import VariableSelector @@ -150,11 +148,6 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): content = response.content if is_file and content_type: - # extract filename from url - filename = path.basename(url) - # extract extension if possible - extension = guess_extension(content_type) or ".bin" - tool_file = ToolFileManager.create_file_by_raw( user_id=self.user_id, tenant_id=self.tenant_id, @@ -165,7 +158,6 @@ class HttpRequestNode(BaseNode[HttpRequestNodeData]): mapping = { "tool_file_id": tool_file.id, - "type": FileType.IMAGE.value, "transfer_method": FileTransferMethod.TOOL_FILE.value, } file = file_factory.build_from_mapping( diff --git a/api/core/workflow/nodes/if_else/if_else_node.py b/api/core/workflow/nodes/if_else/if_else_node.py index 6960fc045a..a1dc0f0664 100644 --- a/api/core/workflow/nodes/if_else/if_else_node.py +++ b/api/core/workflow/nodes/if_else/if_else_node.py @@ -24,7 +24,7 @@ class IfElseNode(BaseNode[IfElseNodeData]): """ node_inputs: dict[str, list] = {"conditions": []} - process_datas: dict[str, list] = {"condition_results": []} + process_data: dict[str, list] = {"condition_results": []} input_conditions = [] final_result = False @@ -40,7 +40,7 @@ class IfElseNode(BaseNode[IfElseNodeData]): operator=case.logical_operator, ) - process_datas["condition_results"].append( + process_data["condition_results"].append( { "group": case.model_dump(), "results": group_result, @@ -65,7 +65,7 @@ class IfElseNode(BaseNode[IfElseNodeData]): selected_case_id = "true" if final_result else "false" - process_datas["condition_results"].append( + process_data["condition_results"].append( {"group": "default", "results": group_result, "final_result": final_result} ) @@ -73,7 +73,7 @@ class IfElseNode(BaseNode[IfElseNodeData]): except Exception as e: return NodeRunResult( - status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_datas, error=str(e) + status=WorkflowNodeExecutionStatus.FAILED, inputs=node_inputs, process_data=process_data, error=str(e) ) outputs = {"result": final_result, "selected_case_id": selected_case_id} @@ -81,7 +81,7 @@ class IfElseNode(BaseNode[IfElseNodeData]): data = NodeRunResult( status=WorkflowNodeExecutionStatus.SUCCEEDED, inputs=node_inputs, - process_data=process_datas, + process_data=process_data, edge_source_handle=selected_case_id or "false", # Use case ID or 'default' outputs=outputs, ) diff --git a/api/core/workflow/nodes/iteration/iteration_node.py b/api/core/workflow/nodes/iteration/iteration_node.py index 6079edebdb..bba6ac20d3 100644 --- a/api/core/workflow/nodes/iteration/iteration_node.py +++ b/api/core/workflow/nodes/iteration/iteration_node.py @@ -116,7 +116,7 @@ class IterationNode(BaseNode[IterationNodeData]): variable_pool.add([self.node_id, "item"], iterator_list_value[0]) # init graph engine - from core.workflow.graph_engine.graph_engine import GraphEngine + from core.workflow.graph_engine.graph_engine import GraphEngine, GraphEngineThreadPool graph_engine = GraphEngine( tenant_id=self.tenant_id, @@ -162,8 +162,7 @@ class IterationNode(BaseNode[IterationNodeData]): if self.node_data.is_parallel: futures: list[Future] = [] q = Queue() - thread_pool = graph_engine.workflow_thread_pool_mapping[graph_engine.thread_pool_id] - thread_pool._max_workers = self.node_data.parallel_nums + thread_pool = GraphEngineThreadPool(max_workers=self.node_data.parallel_nums, max_submit_count=100) for index, item in enumerate(iterator_list_value): future: Future = thread_pool.submit( self._run_single_iter_parallel, diff --git a/api/core/workflow/nodes/llm/node.py b/api/core/workflow/nodes/llm/node.py index d1d7b983ff..8ab0d8b2eb 100644 --- a/api/core/workflow/nodes/llm/node.py +++ b/api/core/workflow/nodes/llm/node.py @@ -815,7 +815,7 @@ class LLMNode(BaseNode[LLMNodeData]): "completion_model": { "conversation_histories_role": {"user_prefix": "Human", "assistant_prefix": "Assistant"}, "prompt": { - "text": "Here is the chat histories between human and assistant, inside " + "text": "Here are the chat histories between human and assistant, inside " " XML tags.\n\n\n{{" "#histories#}}\n\n\n\nHuman: {{#sys.query#}}\n\nAssistant:", "edition_type": "basic", diff --git a/api/core/workflow/nodes/parameter_extractor/prompts.py b/api/core/workflow/nodes/parameter_extractor/prompts.py index 58fcecc53b..e603add170 100644 --- a/api/core/workflow/nodes/parameter_extractor/prompts.py +++ b/api/core/workflow/nodes/parameter_extractor/prompts.py @@ -98,7 +98,7 @@ Step 3: Structure the extracted parameters to JSON object as specified in XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} @@ -125,7 +125,7 @@ CHAT_GENERATE_JSON_PROMPT = """You should always follow the instructions and out The structure of the JSON object you can found in the instructions. ### Memory -Here is the chat histories between human and assistant, inside XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} diff --git a/api/core/workflow/nodes/question_classifier/template_prompts.py b/api/core/workflow/nodes/question_classifier/template_prompts.py index 4bca2d9dd4..53fc136b2c 100644 --- a/api/core/workflow/nodes/question_classifier/template_prompts.py +++ b/api/core/workflow/nodes/question_classifier/template_prompts.py @@ -8,7 +8,7 @@ QUESTION_CLASSIFIER_SYSTEM_PROMPT = """ ### Constraint DO NOT include anything other than the JSON array in your response. ### Memory - Here is the chat histories between human and assistant, inside XML tags. + Here are the chat histories between human and assistant, inside XML tags. {histories} @@ -66,7 +66,7 @@ User:{{"input_text": ["bad service, slow to bring the food"], "categories": [{{" Assistant:{{"keywords": ["bad service", "slow", "food", "tip", "terrible", "waitresses"],"category_id": "f6ff5bc3-aca0-4e4a-8627-e760d0aca78f","category_name": "Experience"}} ### Memory -Here is the chat histories between human and assistant, inside XML tags. +Here are the chat histories between human and assistant, inside XML tags. {histories} diff --git a/api/core/workflow/nodes/variable_assigner/v2/exc.py b/api/core/workflow/nodes/variable_assigner/v2/exc.py index 5b1ef4b04f..b67af6d73c 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/exc.py +++ b/api/core/workflow/nodes/variable_assigner/v2/exc.py @@ -7,8 +7,8 @@ from .enums import InputType, Operation class OperationNotSupportedError(VariableOperatorNodeError): - def __init__(self, *, operation: Operation, varialbe_type: str): - super().__init__(f"Operation {operation} is not supported for type {varialbe_type}") + def __init__(self, *, operation: Operation, variable_type: str): + super().__init__(f"Operation {operation} is not supported for type {variable_type}") class InputTypeNotSupportedError(VariableOperatorNodeError): diff --git a/api/core/workflow/nodes/variable_assigner/v2/node.py b/api/core/workflow/nodes/variable_assigner/v2/node.py index ea59a2f170..d73c744202 100644 --- a/api/core/workflow/nodes/variable_assigner/v2/node.py +++ b/api/core/workflow/nodes/variable_assigner/v2/node.py @@ -45,7 +45,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): # Check if operation is supported if not helpers.is_operation_supported(variable_type=variable.value_type, operation=item.operation): - raise OperationNotSupportedError(operation=item.operation, varialbe_type=variable.value_type) + raise OperationNotSupportedError(operation=item.operation, variable_type=variable.value_type) # Check if variable input is supported if item.input_type == InputType.VARIABLE and not helpers.is_variable_input_supported( @@ -156,4 +156,4 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]): case Operation.DIVIDE: return variable.value / value case _: - raise OperationNotSupportedError(operation=operation, varialbe_type=variable.value_type) + raise OperationNotSupportedError(operation=operation, variable_type=variable.value_type) diff --git a/api/poetry.lock b/api/poetry.lock index dcd8982c37..4c784e53cd 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -1,14 +1,25 @@ # This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +[[package]] +name = "aiofiles" +version = "24.1.0" +description = "File support for asyncio." +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, + {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, +] + [[package]] name = "aiohappyeyeballs" -version = "2.4.3" +version = "2.4.4" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.4.3-py3-none-any.whl", hash = "sha256:8a7a83727b2756f394ab2895ea0765a0a8c475e3c71e98d43d76f22b4b435572"}, - {file = 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"sha256:1090c60116b3da3bfdd0c03406e2f14a1ff53e5771aebe33fec1edc0a350175d"}, + {file = "zope.interface-7.2.tar.gz", hash = "sha256:8b49f1a3d1ee4cdaf5b32d2e738362c7f5e40ac8b46dd7d1a65e82a4872728fe"}, ] [package.dependencies] @@ -10983,4 +11056,4 @@ cffi = ["cffi (>=1.11)"] [metadata] lock-version = "2.0" python-versions = ">=3.11,<3.13" -content-hash = "b762e282fd140c87ae1b0be8d56ec0e1be6515ced28996f1ab0a23f3842120af" +content-hash = "03d62501ae48efc47f3f35dbea7e66ccd1fbcebe69e263f6396d00e3803f2114" diff --git a/api/pyproject.toml b/api/pyproject.toml index 1bdcf5a1a8..e3820ecf9a 100644 --- a/api/pyproject.toml +++ b/api/pyproject.toml @@ -20,7 +20,7 @@ azure-ai-inference = "~1.0.0b3" azure-ai-ml = "~1.20.0" azure-identity = "1.16.1" beautifulsoup4 = "4.12.2" -boto3 = "1.35.17" +boto3 = "1.35.74" bs4 = "~0.0.1" cachetools = "~5.3.0" celery = "~5.4.0" diff --git a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx index b40a0b0974..e8ec11c19a 100644 --- a/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx +++ b/web/app/components/app/configuration/debug/debug-with-multiple-model/chat-item.tsx @@ -29,6 +29,7 @@ import { useAppContext } from '@/context/app-context' import { ModelFeatureEnum } from '@/app/components/header/account-setting/model-provider-page/declarations' import { useFeatures } from '@/app/components/base/features/hooks' import type { InputForm } from '@/app/components/base/chat/chat/type' +import { getLastAnswer } from '@/app/components/base/chat/utils' interface ChatItemProps { modelAndParameter: ModelAndParameter @@ -101,7 +102,7 @@ const ChatItem: FC = ({ query: message, inputs, model_config: configData, - parent_message_id: chatListRef.current.at(-1)?.id || null, + parent_message_id: getLastAnswer(chatListRef.current)?.id || null, } if ((config.file_upload as any).enabled && files?.length && supportVision) diff --git a/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-image-item.tsx b/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-image-item.tsx index 4595280893..6e9ef489fc 100644 --- a/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-image-item.tsx +++ b/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-image-item.tsx @@ -84,7 +84,7 @@ const FileImageItem = ({ className='absolute bottom-0.5 right-0.5 flex items-center justify-center w-6 h-6 rounded-lg bg-components-actionbar-bg shadow-md' onClick={(e) => { e.stopPropagation() - downloadFile(url || '', name) + downloadFile(url || base64Url || '', name) }} > diff --git a/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-item.tsx b/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-item.tsx index fcf665643c..dcf4082780 100644 --- a/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-item.tsx +++ b/web/app/components/base/file-uploader/file-uploader-in-chat-input/file-item.tsx @@ -80,7 +80,7 @@ const FileItem = ({ } { - showDownloadAction && ( + showDownloadAction && url && ( = ({ imagePreviewUrl && ( setImagePreviewUrl('')} - /> + onCancel={() => setImagePreviewUrl('')} title={''} /> ) } diff --git a/web/app/components/base/markdown.tsx b/web/app/components/base/markdown.tsx index 37fbc2dfbd..50662a2d6c 100644 --- a/web/app/components/base/markdown.tsx +++ b/web/app/components/base/markdown.tsx @@ -9,7 +9,6 @@ import RemarkGfm from 'remark-gfm' import RehypeRaw from 'rehype-raw' import SyntaxHighlighter from 'react-syntax-highlighter' import { atelierHeathLight } from 'react-syntax-highlighter/dist/esm/styles/hljs' -import type { RefObject } from 'react' import { Component, createContext, memo, useContext, useEffect, useMemo, useRef, useState } from 'react' import cn from '@/utils/classnames' import CopyBtn from '@/app/components/base/copy-btn' @@ -78,28 +77,6 @@ export function PreCode(props: { children: any }) { ) } -const useLazyLoad = (ref: RefObject): boolean => { - const [isIntersecting, setIntersecting] = useState(false) - - useEffect(() => { - const observer = new IntersectionObserver(([entry]) => { - if (entry.isIntersecting) { - setIntersecting(true) - observer.disconnect() - } - }) - - if (ref.current) - observer.observe(ref.current) - - return () => { - observer.disconnect() - } - }, [ref]) - - return isIntersecting -} - const PreContext = createContext({ // if children not in PreContext, just leave inline true inline: true, @@ -138,7 +115,7 @@ const CodeBlock: Components['code'] = memo(({ className, children, ...props }) = try { return JSON.parse(String(children).replace(/\n$/, '')) } - catch { } + catch (error) { } } return JSON.parse('{"title":{"text":"ECharts error - Wrong JSON format."}}') }, [language, children]) @@ -167,7 +144,7 @@ const CodeBlock: Components['code'] = memo(({ className, children, ...props }) = else { return ( { return (tree) => { const iterate = (node: any) => { - if (node.type === 'element' && !node.properties?.src && node.properties?.ref && node.properties.ref.startsWith('{') && node.properties.ref.endsWith('}')) + if (node.type === 'element' && node.properties?.ref) delete node.properties.ref if (node.children) diff --git a/web/app/components/base/skeleton/index.tsx b/web/app/components/base/skeleton/index.tsx new file mode 100644 index 0000000000..5f29c22f7c --- /dev/null +++ b/web/app/components/base/skeleton/index.tsx @@ -0,0 +1,47 @@ +import type { ComponentProps, FC } from 'react' +import classNames from '@/utils/classnames' + +type SkeletonProps = ComponentProps<'div'> + +export const SkeletonContanier: FC = (props) => { + const { className, children, ...rest } = props + return ( +
+ {children} +
+ ) +} + +export const SkeletonRow: FC = (props) => { + const { className, children, ...rest } = props + return ( +
+ {children} +
+ ) +} + +export const SkeletonRectangle: FC = (props) => { + const { className, children, ...rest } = props + return ( +
+ {children} +
+ ) +} + +export const SkeletonPoint: FC = () => +
·
+ +/** Usage + * + * + * + * + * + * + * + * + * + * + */ diff --git a/web/app/components/workflow/nodes/assigner/default.ts b/web/app/components/workflow/nodes/assigner/default.ts index ba23f5b4c9..99f0a1c3d1 100644 --- a/web/app/components/workflow/nodes/assigner/default.ts +++ b/web/app/components/workflow/nodes/assigner/default.ts @@ -30,7 +30,9 @@ const nodeDefault: NodeDefault = { errorMessages = t(`${i18nPrefix}.fieldRequired`, { field: t('workflow.nodes.assigner.assignedVariable') }) if (!errorMessages && value.operation !== WriteMode.clear) { - if (value.operation === WriteMode.set) { + if (value.operation === WriteMode.set || value.operation === WriteMode.increment + || value.operation === WriteMode.decrement || value.operation === WriteMode.multiply + || value.operation === WriteMode.divide) { if (!value.value && typeof value.value !== 'number') errorMessages = t(`${i18nPrefix}.fieldRequired`, { field: t('workflow.nodes.assigner.variable') }) } diff --git a/web/app/components/workflow/nodes/variable-assigner/components/node-variable-item.tsx b/web/app/components/workflow/nodes/variable-assigner/components/node-variable-item.tsx index e770469329..59f85832b0 100644 --- a/web/app/components/workflow/nodes/variable-assigner/components/node-variable-item.tsx +++ b/web/app/components/workflow/nodes/variable-assigner/components/node-variable-item.tsx @@ -33,7 +33,7 @@ const NodeVariableItem = ({ const { t } = useTranslation() return (
diff --git a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx index 643a9d922d..3c983cd364 100644 --- a/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx +++ b/web/app/components/workflow/panel/chat-variable-panel/components/variable-modal.tsx @@ -97,8 +97,9 @@ const ChatVariableModal = ({ return objectPlaceholder }, [type]) const getObjectValue = useCallback(() => { - if (!chatVar) + if (!chatVar || Object.keys(chatVar.value).length === 0) return [DEFAULT_OBJECT_VALUE] + return Object.keys(chatVar.value).map((key) => { return { key, diff --git a/web/i18n/de-DE/explore.ts b/web/i18n/de-DE/explore.ts index 1e6f8c80d7..366726d3d1 100644 --- a/web/i18n/de-DE/explore.ts +++ b/web/i18n/de-DE/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Übersetzen', Programming: 'Programmieren', HR: 'Personalwesen', + Agent: 'Agent', + Workflow: 'Arbeitsablauf', }, } diff --git a/web/i18n/en-US/explore.ts b/web/i18n/en-US/explore.ts index c996f51820..d4368fb171 100644 --- a/web/i18n/en-US/explore.ts +++ b/web/i18n/en-US/explore.ts @@ -30,11 +30,13 @@ const translation = { nameRequired: 'App name is required', }, category: { + Agent: 'Agent', Assistant: 'Assistant', Writing: 'Writing', Translate: 'Translate', Programming: 'Programming', HR: 'HR', + Workflow: 'Workflow', }, } diff --git a/web/i18n/es-ES/explore.ts b/web/i18n/es-ES/explore.ts index 5f85d42362..74274d4699 100644 --- a/web/i18n/es-ES/explore.ts +++ b/web/i18n/es-ES/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Traducción', Programming: 'Programación', HR: 'Recursos Humanos', + Agent: 'Agente', + Workflow: 'Flujo de trabajo', }, } diff --git a/web/i18n/fa-IR/explore.ts b/web/i18n/fa-IR/explore.ts index 404a9f2593..f127e5cc62 100644 --- a/web/i18n/fa-IR/explore.ts +++ b/web/i18n/fa-IR/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'ترجمه', Programming: 'برنامه‌نویسی', HR: 'منابع انسانی', + Agent: 'عامل', + Workflow: 'گردش', }, } diff --git a/web/i18n/fr-FR/explore.ts b/web/i18n/fr-FR/explore.ts index fe65bea75b..627ed03e88 100644 --- a/web/i18n/fr-FR/explore.ts +++ b/web/i18n/fr-FR/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Traduire', Programming: 'Programmation', HR: 'RH', + Agent: 'Agent', + Workflow: 'Flux de travail', }, } diff --git a/web/i18n/hi-IN/explore.ts b/web/i18n/hi-IN/explore.ts index 53475d81bf..145c4e0e4f 100644 --- a/web/i18n/hi-IN/explore.ts +++ b/web/i18n/hi-IN/explore.ts @@ -36,6 +36,8 @@ const translation = { Translate: 'अनुवाद', Programming: 'प्रोग्रामिंग', HR: 'मानव संसाधन', + Workflow: 'कार्यप्रवाह', + Agent: 'आढ़तिया', }, } diff --git a/web/i18n/it-IT/explore.ts b/web/i18n/it-IT/explore.ts index d96adbc85e..60508028a1 100644 --- a/web/i18n/it-IT/explore.ts +++ b/web/i18n/it-IT/explore.ts @@ -36,6 +36,8 @@ const translation = { Translate: 'Traduzione', Programming: 'Programmazione', HR: 'Risorse Umane', + Workflow: 'Flusso di lavoro', + Agent: 'Agente', }, } diff --git a/web/i18n/ja-JP/explore.ts b/web/i18n/ja-JP/explore.ts index 5ae673d21b..0fafe088f0 100644 --- a/web/i18n/ja-JP/explore.ts +++ b/web/i18n/ja-JP/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: '翻訳', Programming: 'プログラミング', HR: '人事', + Workflow: 'ワークフロー', + Agent: 'エージェント', }, } diff --git a/web/i18n/pl-PL/explore.ts b/web/i18n/pl-PL/explore.ts index 052eb303bd..58c691119c 100644 --- a/web/i18n/pl-PL/explore.ts +++ b/web/i18n/pl-PL/explore.ts @@ -36,6 +36,8 @@ const translation = { Translate: 'Tłumaczenie', Programming: 'Programowanie', HR: 'HR', + Agent: 'Agent', + Workflow: 'Przepływ pracy', }, } diff --git a/web/i18n/pt-BR/explore.ts b/web/i18n/pt-BR/explore.ts index 4cf990cd1f..f77827b4ed 100644 --- a/web/i18n/pt-BR/explore.ts +++ b/web/i18n/pt-BR/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Traduzir', Programming: 'Programação', HR: 'RH', + Workflow: 'Fluxo de trabalho', + Agent: 'Agente', }, } diff --git a/web/i18n/ro-RO/explore.ts b/web/i18n/ro-RO/explore.ts index 6f4ba294ab..75fc97b8a2 100644 --- a/web/i18n/ro-RO/explore.ts +++ b/web/i18n/ro-RO/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Traducere', Programming: 'Programare', HR: 'Resurse Umane', + Agent: 'Agent', + Workflow: 'Flux de lucru', }, } diff --git a/web/i18n/ru-RU/explore.ts b/web/i18n/ru-RU/explore.ts index 6c0b41f7d4..97fad96244 100644 --- a/web/i18n/ru-RU/explore.ts +++ b/web/i18n/ru-RU/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Перевод', Programming: 'Программирование', HR: 'HR', + Agent: 'Агент', + Workflow: 'Рабочий процесс', }, } diff --git a/web/i18n/sl-SI/explore.ts b/web/i18n/sl-SI/explore.ts index ea3813b488..5ed9519044 100644 --- a/web/i18n/sl-SI/explore.ts +++ b/web/i18n/sl-SI/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Prevajanje', Programming: 'Programiranje', HR: 'Kadri', + Workflow: 'Potek dela', + Agent: 'Agent', }, } diff --git a/web/i18n/th-TH/explore.ts b/web/i18n/th-TH/explore.ts index 4f2ac0ee43..aaed249194 100644 --- a/web/i18n/th-TH/explore.ts +++ b/web/i18n/th-TH/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'แปล', Programming: 'โปรแกรม', HR: 'ชั่วโมง', + Workflow: 'เวิร์กโฟลว์', + Agent: 'ตัวแทน', }, } diff --git a/web/i18n/tr-TR/explore.ts b/web/i18n/tr-TR/explore.ts index 94aa2a2bfc..52b45c6b32 100644 --- a/web/i18n/tr-TR/explore.ts +++ b/web/i18n/tr-TR/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Çeviri', Programming: 'Programlama', HR: 'İK', + Agent: 'Aracı', + Workflow: 'İş Akışı', }, } diff --git a/web/i18n/uk-UA/explore.ts b/web/i18n/uk-UA/explore.ts index b632385431..8b2efc903e 100644 --- a/web/i18n/uk-UA/explore.ts +++ b/web/i18n/uk-UA/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Переклад', Programming: 'Програмування', HR: 'HR', + Workflow: 'Робочий процес', + Agent: 'Агент', }, } diff --git a/web/i18n/vi-VN/explore.ts b/web/i18n/vi-VN/explore.ts index 9c5d21052e..b1254fa8cd 100644 --- a/web/i18n/vi-VN/explore.ts +++ b/web/i18n/vi-VN/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: 'Dịch thuật', Programming: 'Lập trình', HR: 'Nhân sự', + Agent: 'Người đại lý', + Workflow: 'Quy trình làm việc', }, } diff --git a/web/i18n/zh-Hans/explore.ts b/web/i18n/zh-Hans/explore.ts index d4f4074205..bb7faf0396 100644 --- a/web/i18n/zh-Hans/explore.ts +++ b/web/i18n/zh-Hans/explore.ts @@ -30,11 +30,13 @@ const translation = { nameRequired: '应用程序名称不能为空', }, category: { + Agent: 'Agent', Assistant: '助手', Writing: '写作', Translate: '翻译', Programming: '编程', HR: '人力资源', + Workflow: '工作流', }, } diff --git a/web/i18n/zh-Hant/explore.ts b/web/i18n/zh-Hant/explore.ts index a8a5224cde..80dfe095dd 100644 --- a/web/i18n/zh-Hant/explore.ts +++ b/web/i18n/zh-Hant/explore.ts @@ -35,6 +35,8 @@ const translation = { Translate: '翻譯', Programming: '程式設計', HR: '人力資源', + Agent: '代理', + Workflow: '工作流', }, }