From 327af1be86e29ac6322c55724cbec24c32d63181 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 6 Nov 2023 17:07:20 +0530 Subject: [PATCH 01/31] vectara components --- .../retrievers/VectaraSelfQueryRetriever.py | 73 +++++++++++++++++++ .../components/vectorstores/Vectara.py | 65 +++++++++++++---- 2 files changed, 125 insertions(+), 13 deletions(-) create mode 100644 src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py new file mode 100644 index 000000000..0055e6ff2 --- /dev/null +++ b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py @@ -0,0 +1,73 @@ +from typing import Optional, Union, List +from langflow import CustomComponent +import json +import lark +from langchain.vectorstores import Vectara +from langchain.schema import Document +# from langchain.vectorstores.base import VectorStore +from langchain.schema import BaseRetriever +from langchain.embeddings.base import Embeddings +from langchain.schema.vectorstore import VectorStore +from langchain.base_language import BaseLanguageModel +from langchain.retrievers.self_query.base import SelfQueryRetriever +from langchain.chains.query_constructor.base import AttributeInfo +from langchain.embeddings import FakeEmbeddings + + +class VectaraComponent(CustomComponent): + display_name: str = "Vectara Self Query Retriever for Vectara Vector Store" + description: str = "Implementation of Vectara Self Query Retriever" + documentation = ( + "https://python.langchain.com/docs/integrations/vectorstores/vectara" + ) + beta = True + field_config = { + "code": {"show": False}, + "vectorstore": { + "display_name": "Vectara Vector Store", + "info": "Input Vectara Vectore Store" + }, + "llm": { + "display_name": "LLM", + "info": "For self query retriever" + }, + 'document_content_description':{ + "display_name": "Document Content Description", + "info": "For self query retriever", + }, + "metadata_field_info": { + "display_name": "Metadata Field Info", + "info": "Check json format in documentation for self query retriever", + }, + } + + def build( + self, + vectorstore: VectorStore = None, + document_content_description: str = None, + llm: BaseLanguageModel = None, + metadata_field_info: List[str] = None, + ) -> BaseRetriever: + + metadata_field_obj = [] + + for meta in metadata_field_info: + meta_obj = json.loads(meta) + if 'name' not in meta_obj or 'description' not in meta_obj or 'type' not in meta_obj : + raise Exception('Incorrect metadata field info format.') + attribute_info = AttributeInfo( + name = meta_obj['name'], + description = meta_obj['description'], + type = meta_obj['type'], + ) + metadata_field_obj.append(attribute_info) + + return SelfQueryRetriever.from_llm( + llm, + vectorstore, + document_content_description, + metadata_field_obj, + verbose=True + ) + + \ No newline at end of file diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 6f7fcc0bb..1a40e94f1 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -1,10 +1,18 @@ -from typing import Optional, Union +from typing import Optional, Union, List from langflow import CustomComponent - +import tempfile +import urllib.request +import urllib from langchain.vectorstores import Vectara from langchain.schema import Document from langchain.vectorstores.base import VectorStore from langchain.schema import BaseRetriever +from langchain.embeddings.base import Embeddings +from langchain.schema.vectorstore import VectorStore +from langchain.base_language import BaseLanguageModel +from langchain.retrievers.self_query.base import SelfQueryRetriever +from langchain.chains.query_constructor.base import AttributeInfo +from langchain.embeddings import FakeEmbeddings class VectaraComponent(CustomComponent): @@ -14,13 +22,29 @@ class VectaraComponent(CustomComponent): "https://python.langchain.com/docs/integrations/vectorstores/vectara" ) beta = True - # api key should be password = True field_config = { - "vectara_customer_id": {"display_name": "Vectara Customer ID"}, - "vectara_corpus_id": {"display_name": "Vectara Corpus ID"}, - "vectara_api_key": {"display_name": "Vectara API Key", "password": True}, + "vectara_customer_id": { + "display_name": "Vectara Customer ID", + "required": True, + }, + "vectara_corpus_id": { + "display_name": "Vectara Corpus ID", + "required": True, + }, + "vectara_api_key": { + "display_name": "Vectara API Key", + "password": True, + "required": True, + }, "code": {"show": False}, - "documents": {"display_name": "Documents"}, + "documents": { + "display_name": "Documents", + "info": "Pass in either for Self Query Retriever or for making a Vectara Object" + }, + 'files_url':{ + "display_name": "Files Url", + "info": "Make vectara object using url of files(documents not needed)", + }, } def build( @@ -28,21 +52,36 @@ class VectaraComponent(CustomComponent): vectara_customer_id: str, vectara_corpus_id: str, vectara_api_key: str, + files_url: Optional[List[str]] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: - # If documents, then we need to create a Vectara instance using .from_documents - if documents is not None: + + if documents is not None : return Vectara.from_documents( - documents=documents, # type: ignore + documents=documents, + embedding=FakeEmbeddings(size=768), + vectara_customer_id=vectara_customer_id, + vectara_corpus_id=vectara_corpus_id, + vectara_api_key=vectara_api_key, + ) + + if files_url is not None : + files_list = [] + for url in files_url: + name = tempfile.NamedTemporaryFile().name + urllib.request.urlretrieve(url, name) + files_list.append(name) + + return Vectara.from_files( + files=files_list, + embedding=FakeEmbeddings(size=768), vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, - source="langflow", ) return Vectara( vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, - source="langflow", - ) + ) \ No newline at end of file From 6e0afd87c30bcafe828958cbbda2a47ea86d31e4 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Sun, 12 Nov 2023 01:18:41 +0530 Subject: [PATCH 02/31] minor - removal of extra imports --- .../retrievers/VectaraSelfQueryRetriever.py | 13 ++++--------- .../langflow/components/vectorstores/Vectara.py | 4 ---- 2 files changed, 4 insertions(+), 13 deletions(-) diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py index 0055e6ff2..34c9707f3 100644 --- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py +++ b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py @@ -1,17 +1,11 @@ -from typing import Optional, Union, List +from typing import Optional, List from langflow import CustomComponent import json -import lark -from langchain.vectorstores import Vectara -from langchain.schema import Document -# from langchain.vectorstores.base import VectorStore from langchain.schema import BaseRetriever -from langchain.embeddings.base import Embeddings from langchain.schema.vectorstore import VectorStore from langchain.base_language import BaseLanguageModel from langchain.retrievers.self_query.base import SelfQueryRetriever from langchain.chains.query_constructor.base import AttributeInfo -from langchain.embeddings import FakeEmbeddings class VectaraComponent(CustomComponent): @@ -31,13 +25,14 @@ class VectaraComponent(CustomComponent): "display_name": "LLM", "info": "For self query retriever" }, - 'document_content_description':{ + "document_content_description":{ "display_name": "Document Content Description", "info": "For self query retriever", }, "metadata_field_info": { "display_name": "Metadata Field Info", - "info": "Check json format in documentation for self query retriever", + "info": "Check dictionary format in documentation for self query retriever", + "info": "Each metadata field is a json string containing additional search metadata. Example input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}. The keys should remain constant", }, } diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 1a40e94f1..b8b2f1021 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -7,11 +7,7 @@ from langchain.vectorstores import Vectara from langchain.schema import Document from langchain.vectorstores.base import VectorStore from langchain.schema import BaseRetriever -from langchain.embeddings.base import Embeddings from langchain.schema.vectorstore import VectorStore -from langchain.base_language import BaseLanguageModel -from langchain.retrievers.self_query.base import SelfQueryRetriever -from langchain.chains.query_constructor.base import AttributeInfo from langchain.embeddings import FakeEmbeddings From 07815de4e5760e1bfa350f56514601bf3e3e119e Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 13 Nov 2023 19:51:36 +0530 Subject: [PATCH 03/31] minor commenting changes --- .../langflow/components/retrievers/VectaraSelfQueryRetriever.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py index 34c9707f3..dec8efdc2 100644 --- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py +++ b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py @@ -32,7 +32,7 @@ class VectaraComponent(CustomComponent): "metadata_field_info": { "display_name": "Metadata Field Info", "info": "Check dictionary format in documentation for self query retriever", - "info": "Each metadata field is a json string containing additional search metadata. Example input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}. The keys should remain constant", + "info": "Each metadata field is a string in the form of json containing additional search metadata.\nExample input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}.\nThe keys should remain constant", }, } From 68d6fae606967a7e7ac46ac239dd803d8fde891e Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 13 Nov 2023 19:58:43 +0530 Subject: [PATCH 04/31] minor formatting --- .../components/vectorstores/Vectara.py | 31 +++++++++---------- 1 file changed, 15 insertions(+), 16 deletions(-) diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index b8b2f1021..71e952fa6 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -22,25 +22,25 @@ class VectaraComponent(CustomComponent): "vectara_customer_id": { "display_name": "Vectara Customer ID", "required": True, - }, + }, "vectara_corpus_id": { - "display_name": "Vectara Corpus ID", + "display_name": "Vectara Corpus ID", "required": True, - }, + }, "vectara_api_key": { "display_name": "Vectara API Key", "password": True, "required": True, - }, + }, "code": {"show": False}, "documents": { - "display_name": "Documents", - "info": "Pass in either for Self Query Retriever or for making a Vectara Object" - }, - 'files_url':{ - "display_name": "Files Url", + "display_name": "Documents", + "info": "Pass in either for Self Query Retriever or for making a Vectara Object", + }, + "files_url": { + "display_name": "Files Url", "info": "Make vectara object using url of files(documents not needed)", - }, + }, } def build( @@ -48,11 +48,10 @@ class VectaraComponent(CustomComponent): vectara_customer_id: str, vectara_corpus_id: str, vectara_api_key: str, - files_url: Optional[List[str]] = None, + files_url: Optional[List[str]] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: - - if documents is not None : + if documents is not None: return Vectara.from_documents( documents=documents, embedding=FakeEmbeddings(size=768), @@ -60,8 +59,8 @@ class VectaraComponent(CustomComponent): vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, ) - - if files_url is not None : + + if files_url is not None: files_list = [] for url in files_url: name = tempfile.NamedTemporaryFile().name @@ -80,4 +79,4 @@ class VectaraComponent(CustomComponent): vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, - ) \ No newline at end of file + ) From 390767cbf75745a35d6b423f25bd085f76c6d2fc Mon Sep 17 00:00:00 2001 From: Atharva J Date: Sun, 17 Dec 2023 20:17:46 +0530 Subject: [PATCH 05/31] major --- .../langflow/components/vectorstores/Vectara.py | 13 +------------ 1 file changed, 1 insertion(+), 12 deletions(-) diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 53afd2718..bdcf9aef5 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -1,24 +1,13 @@ -<<<<<<< HEAD -from typing import Optional, Union - -from langchain.schema import BaseRetriever, Document -======= from typing import Optional, Union, List from langflow import CustomComponent import tempfile import urllib.request import urllib ->>>>>>> 68d6fae606967a7e7ac46ac239dd803d8fde891e from langchain.vectorstores import Vectara +from langchain.schema import Document from langchain.vectorstores.base import VectorStore -<<<<<<< HEAD - -from langflow import CustomComponent -======= from langchain.schema import BaseRetriever -from langchain.schema.vectorstore import VectorStore from langchain.embeddings import FakeEmbeddings ->>>>>>> 68d6fae606967a7e7ac46ac239dd803d8fde891e class VectaraComponent(CustomComponent): From 8fcf54bcb8795f274cdf3f4db21f58589ea92722 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 18 Dec 2023 01:04:37 +0530 Subject: [PATCH 06/31] minor - test check trial --- tests/test_endpoints.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 338224004..f4b65f4f7 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -11,6 +11,7 @@ from langflow.services.database.models.api_key.model import ApiKey from langflow.services.database.utils import session_getter from langflow.services.deps import get_db_service, get_settings_service from langflow.template.frontend_node.chains import TimeTravelGuideChainNode +import os def run_post(client, flow_id, headers, post_data): @@ -49,7 +50,7 @@ PROMPT_REQUEST = { "custom_fields": {}, "output_types": [], "field_formatters": { - "formatters": {"openai_api_key": {}}, + "formatters": {"openai_api_key": os.environ.get("OPENAI_API_KEY")}, "base_formatters": { "kwargs": {}, "optional": {}, From 83e9c089a7913620d4d46543da5c75a03df382e0 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 18 Dec 2023 01:14:20 +0530 Subject: [PATCH 07/31] yes --- tests/test_endpoints.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index f4b65f4f7..338224004 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -11,7 +11,6 @@ from langflow.services.database.models.api_key.model import ApiKey from langflow.services.database.utils import session_getter from langflow.services.deps import get_db_service, get_settings_service from langflow.template.frontend_node.chains import TimeTravelGuideChainNode -import os def run_post(client, flow_id, headers, post_data): @@ -50,7 +49,7 @@ PROMPT_REQUEST = { "custom_fields": {}, "output_types": [], "field_formatters": { - "formatters": {"openai_api_key": os.environ.get("OPENAI_API_KEY")}, + "formatters": {"openai_api_key": {}}, "base_formatters": { "kwargs": {}, "optional": {}, From df4f158eac9eb3075999dea0666073ed12c5023c Mon Sep 17 00:00:00 2001 From: Atharva J Date: Mon, 18 Dec 2023 01:16:18 +0530 Subject: [PATCH 08/31] test_endpoint.py from main branch --- tests/test_endpoints.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 338224004..2e2a65b64 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -578,4 +578,4 @@ def test_async_task_processing_vector_store(client, added_vector_store, created_ # Validate that the task completed successfully and the result is as expected assert "result" in task_status_json, task_status_json assert "output" in task_status_json["result"], task_status_json["result"] - assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"] + assert "Langflow" in task_status_json["result"]["output"], task_status_json["result"] \ No newline at end of file From a16fe991620f59c878afa963cf891d6619c22466 Mon Sep 17 00:00:00 2001 From: Atharva Jadhav <93152317+JAtharva22@users.noreply.github.com> Date: Mon, 18 Dec 2023 04:52:25 +0530 Subject: [PATCH 09/31] Delete src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py --- .../retrievers/VectaraSelfQueryRetriever.py | 68 ------------------- 1 file changed, 68 deletions(-) delete mode 100644 src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py deleted file mode 100644 index dec8efdc2..000000000 --- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriever.py +++ /dev/null @@ -1,68 +0,0 @@ -from typing import Optional, List -from langflow import CustomComponent -import json -from langchain.schema import BaseRetriever -from langchain.schema.vectorstore import VectorStore -from langchain.base_language import BaseLanguageModel -from langchain.retrievers.self_query.base import SelfQueryRetriever -from langchain.chains.query_constructor.base import AttributeInfo - - -class VectaraComponent(CustomComponent): - display_name: str = "Vectara Self Query Retriever for Vectara Vector Store" - description: str = "Implementation of Vectara Self Query Retriever" - documentation = ( - "https://python.langchain.com/docs/integrations/vectorstores/vectara" - ) - beta = True - field_config = { - "code": {"show": False}, - "vectorstore": { - "display_name": "Vectara Vector Store", - "info": "Input Vectara Vectore Store" - }, - "llm": { - "display_name": "LLM", - "info": "For self query retriever" - }, - "document_content_description":{ - "display_name": "Document Content Description", - "info": "For self query retriever", - }, - "metadata_field_info": { - "display_name": "Metadata Field Info", - "info": "Check dictionary format in documentation for self query retriever", - "info": "Each metadata field is a string in the form of json containing additional search metadata.\nExample input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}.\nThe keys should remain constant", - }, - } - - def build( - self, - vectorstore: VectorStore = None, - document_content_description: str = None, - llm: BaseLanguageModel = None, - metadata_field_info: List[str] = None, - ) -> BaseRetriever: - - metadata_field_obj = [] - - for meta in metadata_field_info: - meta_obj = json.loads(meta) - if 'name' not in meta_obj or 'description' not in meta_obj or 'type' not in meta_obj : - raise Exception('Incorrect metadata field info format.') - attribute_info = AttributeInfo( - name = meta_obj['name'], - description = meta_obj['description'], - type = meta_obj['type'], - ) - metadata_field_obj.append(attribute_info) - - return SelfQueryRetriever.from_llm( - llm, - vectorstore, - document_content_description, - metadata_field_obj, - verbose=True - ) - - \ No newline at end of file From a5c66836094b42c4c302e6f7e4ad8b7def8b41b3 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Tue, 19 Dec 2023 15:09:29 +0530 Subject: [PATCH 10/31] . --- src/backend/langflow/components/vectorstores/Vectara.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index bdcf9aef5..e3555e6f1 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -3,6 +3,7 @@ from langflow import CustomComponent import tempfile import urllib.request import urllib + from langchain.vectorstores import Vectara from langchain.schema import Document from langchain.vectorstores.base import VectorStore From c979823d58e5b021679239cbe1e2eb88042566a2 Mon Sep 17 00:00:00 2001 From: yamonkjd Date: Thu, 21 Dec 2023 17:59:15 +0900 Subject: [PATCH 11/31] Create ChatOllamaEndpoint.py This is a draft of a custom component to access the Ollama API endpoint. --- .../components/llms/ChatOllamaEndpoint.py | 212 ++++++++++++++++++ 1 file changed, 212 insertions(+) create mode 100644 src/backend/langflow/components/llms/ChatOllamaEndpoint.py diff --git a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py new file mode 100644 index 000000000..034c8c9d1 --- /dev/null +++ b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py @@ -0,0 +1,212 @@ +from typing import Optional, List +from langchain.chat_models.base import BaseChatModel +from langchain_community.chat_models import ChatOllama +from langflow import CustomComponent +from langchain.callbacks.manager import CallbackManager +from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler + + +class ChatOllamaComponent(CustomComponent): + display_name = "ChatOllama" + description = "Local LLM for chat with Ollama." + + def build_config(self) -> dict: + return { + "base_url": { + "display_name": "Base URL", + "value": "http://localhost:11434", + "info": "Endpoint of the Ollama API." + }, + "model": { + "display_name": "Model Name", + "value": "llama2", + "info": "Refer to https://ollama.ai/library for more models." + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "value": 0.8, + "info": "Controls the creativity of model responses." + }, + "cache": { + "display_name": "Cache", + "field_type": "bool", + "info": "Enable or disable caching.", + "advanced": True, + "value": False + }, + "callback_manager": { + "display_name": "Callback Manager", + "info": "Optional callback manager for additional functionality.", + "advanced": True, + "value": None + }, + "callbacks": { + "display_name": "Callbacks", + "info": "Callbacks to execute during model runtime.", + "advanced": True, + "value": None + }, + "format": { + "display_name": "Format", + "field_type": "str", + "info": "Specify the format of the output (e.g., json).", + "advanced": True, + "value": None + }, + "metadata": { + "display_name": "Metadata", + "info": "Metadata to add to the run trace.", + "advanced": True, + "value": None + }, + "mirostat": { + "display_name": "Mirostat", + "field_type": "int", + "info": "Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)", + "advanced": True, + "value": 0 + }, + "mirostat_eta": { + "display_name": "Mirostat Eta", + "field_type": "float", + "info": "Learning rate for Mirostat algorithm. (Default: 0.1)", + "advanced": True, + "value": 0.1 + }, + "mirostat_tau": { + "display_name": "Mirostat Tau", + "field_type": "float", + "info": "Controls the balance between coherence and diversity of the output. (Default: 5.0)", + "advanced": True, + "value": 5.0 + }, + "num_ctx": { + "display_name": "Context Window Size", + "field_type": "int", + "info": "Size of the context window for generating tokens. (Default: 2048)", + "advanced": True, + "value": 2048 + }, + "num_gpu": { + "display_name": "Number of GPUs", + "field_type": "int", + "info": "Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)", + "advanced": True, + "value": 0 + }, + "num_thread": { + "display_name": "Number of Threads", + "field_type": "int", + "info": "Number of threads to use during computation. (Default: detected for optimal performance)", + "advanced": True, + "value": None + }, + "repeat_last_n": { + "display_name": "Repeat Last N", + "field_type": "int", + "info": "How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)", + "advanced": True, + "value": 64 + }, + "repeat_penalty": { + "display_name": "Repeat Penalty", + "field_type": "float", + "info": "Penalty for repetitions in generated text. (Default: 1.1)", + "advanced": True, + "value": 1.1 + }, + "tfs_z": { + "display_name": "TFS Z", + "field_type": "float", + "info": "Tail free sampling value. (Default: 1)", + "advanced": True, + "value": 1.0 + }, + "timeout": { + "display_name": "Timeout", + "field_type": "int", + "info": "Timeout for the request stream.", + "advanced": True, + "value": None + }, + "top_k": { + "display_name": "Top K", + "field_type": "int", + "info": "Limits token selection to top K. (Default: 40)", + "advanced": True, + "value": 40 + }, + "top_p": { + "display_name": "Top P", + "field_type": "float", + "info": "Works together with top-k. (Default: 0.9)", + "advanced": True, + "value": 0.9 + }, + "verbose": { + "display_name": "Verbose", + "field_type": "bool", + "info": "Whether to print out response text.", + "value": None + }, + "tags": { + "display_name": "Tags", + "field_type": "list", + "info": "Tags to add to the run trace.", + "advanced": True, + "value": None + }, + } + + def build(self, base_url: str, model: str, mirostat: Optional[int], + mirostat_eta: Optional[float], mirostat_tau: Optional[float], + num_ctx: Optional[int], num_gpu: Optional[int], + repeat_last_n: Optional[int], + repeat_penalty: Optional[float], temperature: Optional[float], + tfs_z: Optional[float], + num_thread: Optional[int] = None, + stop: Optional[List[str]] = None, + tags: Optional[List[str]] = None, + system: Optional[str] = None, + template: Optional[str] = None, + timeout: Optional[int] = None, + top_k: Optional[int] = None, + top_p: Optional[int] = None, verbose: Optional[bool] = None + ) -> BaseChatModel: + + callback_manager = CallbackManager( + [StreamingStdOutCallbackHandler()]) + + llm_params = { + "base_url": base_url, + "model": model, + "mirostat": mirostat, + "mirostat_eta": mirostat_eta, + "mirostat_tau": mirostat_tau, + "num_ctx": num_ctx, + "num_gpu": num_gpu, + "num_thread": num_thread, + "repeat_last_n": repeat_last_n, + "repeat_penalty": repeat_penalty, + "temperature": temperature, + "stop": stop, + "system": system, + "template": template, + "tfs_z": tfs_z, + "timeout": timeout, + "top_k": top_k, + "top_p": top_p, + "verbose": verbose, + "callback_manager": callback_manager + } + + # None Value Remove + llm_params = {k: v for k, v in llm_params.items() if v is not None} + + try: + output = ChatOllama(**llm_params) + except Exception as e: + raise ValueError("Could not initialize Ollama LLM.") from e + + return output From bea506523743b504de30b57d9a8523011660d80d Mon Sep 17 00:00:00 2001 From: yamonkjd Date: Sat, 23 Dec 2023 03:57:38 +0900 Subject: [PATCH 12/31] Update ChatOllamaEndpoint.py --- .../components/llms/ChatOllamaEndpoint.py | 159 +++++++++++------- 1 file changed, 99 insertions(+), 60 deletions(-) diff --git a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py index 034c8c9d1..a6f79c332 100644 --- a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py +++ b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py @@ -1,9 +1,15 @@ -from typing import Optional, List +from typing import Optional, List, Dict, Any from langchain.chat_models.base import BaseChatModel -from langchain_community.chat_models import ChatOllama + +# from langchain_community.chat_models import ChatOllama +from langchain.chat_models import ChatOllama + +# from langchain.chat_models import ChatOllama from langflow import CustomComponent -from langchain.callbacks.manager import CallbackManager -from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler + + +# whe When a callback component is added to Langflow, the comment must be uncommented. +# from langchain.callbacks.manager import CallbackManager class ChatOllamaComponent(CustomComponent): @@ -14,174 +20,208 @@ class ChatOllamaComponent(CustomComponent): return { "base_url": { "display_name": "Base URL", - "value": "http://localhost:11434", - "info": "Endpoint of the Ollama API." + "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.", }, "model": { "display_name": "Model Name", "value": "llama2", - "info": "Refer to https://ollama.ai/library for more models." + "info": "Refer to https://ollama.ai/library for more models.", }, "temperature": { "display_name": "Temperature", "field_type": "float", "value": 0.8, - "info": "Controls the creativity of model responses." + "info": "Controls the creativity of model responses.", }, "cache": { "display_name": "Cache", "field_type": "bool", "info": "Enable or disable caching.", "advanced": True, - "value": False - }, - "callback_manager": { - "display_name": "Callback Manager", - "info": "Optional callback manager for additional functionality.", - "advanced": True, - "value": None - }, - "callbacks": { - "display_name": "Callbacks", - "info": "Callbacks to execute during model runtime.", - "advanced": True, - "value": None + "value": False, }, + ### When a callback component is added to Langflow, the comment must be uncommented. ### + # "callback_manager": { + # "display_name": "Callback Manager", + # "info": "Optional callback manager for additional functionality.", + # "advanced": True, + # }, + # "callbacks": { + # "display_name": "Callbacks", + # "info": "Callbacks to execute during model runtime.", + # "advanced": True, + # }, + ######################################################################################## "format": { "display_name": "Format", "field_type": "str", "info": "Specify the format of the output (e.g., json).", "advanced": True, - "value": None }, "metadata": { "display_name": "Metadata", "info": "Metadata to add to the run trace.", "advanced": True, - "value": None }, "mirostat": { "display_name": "Mirostat", - "field_type": "int", - "info": "Enable Mirostat sampling for controlling perplexity. (default: 0, 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0)", + "options": ["Disabled", "Mirostat", "Mirostat 2.0"], + "info": "Enable/disable Mirostat sampling for controlling perplexity.", + "value": "Disabled", "advanced": True, - "value": 0 }, "mirostat_eta": { "display_name": "Mirostat Eta", "field_type": "float", "info": "Learning rate for Mirostat algorithm. (Default: 0.1)", "advanced": True, - "value": 0.1 }, "mirostat_tau": { "display_name": "Mirostat Tau", "field_type": "float", "info": "Controls the balance between coherence and diversity of the output. (Default: 5.0)", "advanced": True, - "value": 5.0 }, "num_ctx": { "display_name": "Context Window Size", "field_type": "int", "info": "Size of the context window for generating tokens. (Default: 2048)", "advanced": True, - "value": 2048 }, "num_gpu": { "display_name": "Number of GPUs", "field_type": "int", "info": "Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)", "advanced": True, - "value": 0 }, "num_thread": { "display_name": "Number of Threads", "field_type": "int", "info": "Number of threads to use during computation. (Default: detected for optimal performance)", "advanced": True, - "value": None }, "repeat_last_n": { "display_name": "Repeat Last N", "field_type": "int", "info": "How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)", "advanced": True, - "value": 64 }, "repeat_penalty": { "display_name": "Repeat Penalty", "field_type": "float", "info": "Penalty for repetitions in generated text. (Default: 1.1)", "advanced": True, - "value": 1.1 }, "tfs_z": { "display_name": "TFS Z", "field_type": "float", "info": "Tail free sampling value. (Default: 1)", "advanced": True, - "value": 1.0 }, "timeout": { "display_name": "Timeout", "field_type": "int", "info": "Timeout for the request stream.", "advanced": True, - "value": None }, "top_k": { "display_name": "Top K", "field_type": "int", "info": "Limits token selection to top K. (Default: 40)", "advanced": True, - "value": 40 }, "top_p": { "display_name": "Top P", "field_type": "float", "info": "Works together with top-k. (Default: 0.9)", "advanced": True, - "value": 0.9 }, "verbose": { "display_name": "Verbose", "field_type": "bool", "info": "Whether to print out response text.", - "value": None }, "tags": { "display_name": "Tags", "field_type": "list", "info": "Tags to add to the run trace.", "advanced": True, - "value": None + }, + "stop": { + "display_name": "Stop Tokens", + "field_type": "list", + "info": "List of tokens to signal the model to stop generating text.", + "advanced": True, + }, + "system": { + "display_name": "System", + "field_type": "str", + "info": "System to use for generating text.", + "advanced": True, + }, + "template": { + "display_name": "Template", + "field_type": "str", + "info": "Template to use for generating text.", }, } - def build(self, base_url: str, model: str, mirostat: Optional[int], - mirostat_eta: Optional[float], mirostat_tau: Optional[float], - num_ctx: Optional[int], num_gpu: Optional[int], - repeat_last_n: Optional[int], - repeat_penalty: Optional[float], temperature: Optional[float], - tfs_z: Optional[float], - num_thread: Optional[int] = None, - stop: Optional[List[str]] = None, - tags: Optional[List[str]] = None, - system: Optional[str] = None, - template: Optional[str] = None, - timeout: Optional[int] = None, - top_k: Optional[int] = None, - top_p: Optional[int] = None, verbose: Optional[bool] = None - ) -> BaseChatModel: + def build( + self, + base_url: Optional[str], + model: str, + mirostat: Optional[str], + mirostat_eta: Optional[float] = None, + mirostat_tau: Optional[float] = None, + ### When a callback component is added to Langflow, the comment must be uncommented.### + # callback_manager: Optional[CallbackManager] = None, + # callbacks: Optional[List[Callbacks]] = None, + ####################################################################################### + repeat_last_n: Optional[int] = None, + verbose: Optional[bool] = None, + cache: Optional[bool] = None, + num_ctx: Optional[int] = None, + num_gpu: Optional[int] = None, + format: Optional[str] = None, + metadata: Optional[Dict[str, Any]] = None, + num_thread: Optional[int] = None, + repeat_penalty: Optional[float] = None, + stop: Optional[List[str]] = None, + system: Optional[str] = None, + tags: Optional[List[str]] = None, + temperature: Optional[float] = None, + template: Optional[str] = None, + tfs_z: Optional[float] = None, + timeout: Optional[int] = None, + top_k: Optional[int] = None, + top_p: Optional[int] = None, + ) -> BaseChatModel: + if not base_url: + base_url = "http://localhost:11434" - callback_manager = CallbackManager( - [StreamingStdOutCallbackHandler()]) + # Mapping mirostat settings to their corresponding values + mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2} + + # Default to 0 for 'Disabled' + mirostat_value = mirostat_options.get(mirostat, 0) # type: ignore + + # Set mirostat_eta and mirostat_tau to None if mirostat is disabled + if mirostat_value == 0: + mirostat_eta = None + mirostat_tau = None llm_params = { "base_url": base_url, + "cache": cache, "model": model, - "mirostat": mirostat, + "mirostat": mirostat_value, + "format": format, + "metadata": metadata, + "tags": tags, + ## When a callback component is added to Langflow, the comment must be uncommented.## + # "callback_manager": callback_manager, + # "callbacks": callbacks, + ##################################################################################### "mirostat_eta": mirostat_eta, "mirostat_tau": mirostat_tau, "num_ctx": num_ctx, @@ -198,10 +238,9 @@ class ChatOllamaComponent(CustomComponent): "top_k": top_k, "top_p": top_p, "verbose": verbose, - "callback_manager": callback_manager } - # None Value Remove + # None Value remove llm_params = {k: v for k, v in llm_params.items() if v is not None} try: @@ -209,4 +248,4 @@ class ChatOllamaComponent(CustomComponent): except Exception as e: raise ValueError("Could not initialize Ollama LLM.") from e - return output + return output # type: ignore From c303bf3d498c40352e546ee404bf3ee48b0e7205 Mon Sep 17 00:00:00 2001 From: yamonkjd Date: Sat, 23 Dec 2023 03:58:36 +0900 Subject: [PATCH 13/31] Create OllamaLLM.py --- .../langflow/components/llms/OllamaLLM.py | 157 ++++++++++++++++++ 1 file changed, 157 insertions(+) create mode 100644 src/backend/langflow/components/llms/OllamaLLM.py diff --git a/src/backend/langflow/components/llms/OllamaLLM.py b/src/backend/langflow/components/llms/OllamaLLM.py new file mode 100644 index 000000000..6e67970d5 --- /dev/null +++ b/src/backend/langflow/components/llms/OllamaLLM.py @@ -0,0 +1,157 @@ +from typing import Optional, List + +from langchain.llms import Ollama +from langchain.llms.base import BaseLLM + +from langflow import CustomComponent + + +class OllamaLLM(CustomComponent): + display_name = "Ollama" + description = "Local LLM with Ollama." + + def build_config(self) -> dict: + return { + "base_url": { + "display_name": "Base URL", + "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified." + }, + "model": { + "display_name": "Model Name", + "value": "llama2", + "info": "Refer to https://ollama.ai/library for more models." + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "value": 0.8, + "info": "Controls the creativity of model responses." + }, + + "mirostat": { + "display_name": "Mirostat", + "options": ["Disabled", "Mirostat", "Mirostat 2.0"], + "info": "Enable/disable Mirostat sampling for controlling perplexity.", + "value": "Disabled", + "advanced": True + }, + "mirostat_eta": { + "display_name": "Mirostat Eta", + "field_type": "float", + "info": "Learning rate influencing the algorithm's response to feedback.", + "advanced": True + }, + + + "mirostat_tau": { + "display_name": "Mirostat Tau", + "field_type": "float", + "value": 5.0, + "info": "Controls balance between coherence and diversity.", + "advanced": True + }, + "num_ctx": { + "display_name": "Context Window Size", + "field_type": "int", + "value": 2048, + "info": "Size of the context window for generating the next token.", + "advanced": True + }, + "num_gpu": { + "display_name": "Number of GPUs", + "field_type": "int", + "info": "Number of GPUs to use for computation.", + "advanced": True + }, + "num_thread": { + "display_name": "Number of Threads", + "field_type": "int", + "info": "Number of threads to use during computation.", + "advanced": True + }, + "repeat_last_n": { + "display_name": "Repeat Last N", + "field_type": "int", + "value": 64, + "info": "Sets how far back the model looks to prevent repetition.", + "advanced": True + }, + "repeat_penalty": { + "display_name": "Repeat Penalty", + "field_type": "float", + "value": 1.1, + "info": "Penalty for repetitions in generated text.", + "advanced": True + }, + + "stop": { + "display_name": "Stop Tokens", + + "info": "List of tokens to signal the model to stop generating text.", + "advanced": True + }, + "tfs_z": { + "display_name": "TFS Z", + "field_type": "float", + "value": 1, + "info": "Tail free sampling to reduce impact of less probable tokens.", + "advanced": True + }, + "top_k": { + "display_name": "Top K", + "field_type": "int", + "value": 40, + "info": "Limits token selection to top K for reducing nonsense generation.", + "advanced": True + }, + "top_p": { + "display_name": "Top P", + "field_type": "int", + "value": 0.9, + "info": "Works with top-k to control diversity of generated text.", + "advanced": True + }, + } + + def build(self, base_url: Optional[str], model: str, mirostat: str, mirostat_eta: Optional[float], + mirostat_tau: Optional[float], num_ctx: Optional[int], num_gpu: Optional[int], + num_thread: Optional[int], repeat_last_n: Optional[int], repeat_penalty: Optional[float], + temperature: Optional[float], stop: Optional[List[str]], tfs_z: Optional[float], + top_k: Optional[int], top_p: Optional[int]) -> BaseLLM: + + if not base_url: + base_url = "http://localhost:11434" + + mirostat_value = 0 # Default value for 'Disabled' + + # Map the textual option to the corresponding integer + if mirostat == "Mirostat": + mirostat_value = 1 + elif mirostat == "Mirostat 2.0": + mirostat_value = 2 + + params = {k: v for k, v in { + 'base_url': base_url, + 'model': model, + 'mirostat': mirostat_value, + 'mirostat_eta': mirostat_eta, + 'mirostat_tau': mirostat_tau, + 'num_ctx': num_ctx, + 'num_gpu': num_gpu, + 'num_thread': num_thread, + 'repeat_last_n': repeat_last_n, + 'repeat_penalty': repeat_penalty, + 'temperature': temperature, + 'stop': stop, + 'tfs_z': tfs_z, + 'top_k': top_k, + 'top_p': top_p, + 'streaming' :"True" + }.items() if v is not None} + + try: + llm = Ollama(**params) + except Exception as e: + raise ValueError("Could not connect to Ollama.") from e + + return llm From 04fde52a2161185ed0efa79dd31ee202c667b465 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 22 Dec 2023 17:07:19 -0300 Subject: [PATCH 14/31] Fix param overwrite issue in Vertex class --- src/backend/langflow/graph/vertex/base.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index 01995c23e..bd38186e1 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -3,13 +3,12 @@ import inspect import types from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional -from loguru import logger - from langflow.graph.utils import UnbuiltObject from langflow.interface.initialize import loading from langflow.interface.listing import lazy_load_dict from langflow.utils.constants import DIRECT_TYPES from langflow.utils.util import sync_to_async +from loguru import logger if TYPE_CHECKING: from langflow.graph.edge.base import Edge @@ -140,7 +139,11 @@ class Vertex: if not hasattr(edge, "target_param"): continue param_key = edge.target_param - if param_key in template_dict: + + # If the param_key is in the template_dict and the edge.target_id is the current node + # We check this to make sure params with the same name but different target_id + # don't get overwritten + if param_key in template_dict and edge.target_id == self.id: if template_dict[param_key]["list"]: if param_key not in params: params[param_key] = [] From 6720b2c058b459c2af9545ada5470e42ef83264e Mon Sep 17 00:00:00 2001 From: Atharva J Date: Tue, 26 Dec 2023 01:19:00 +0530 Subject: [PATCH 15/31] VectaraSelfQueryRetriverComponent --- .../retrievers/VectaraSelfQueryRetriver.py | 70 +++++++++++++++++++ 1 file changed, 70 insertions(+) create mode 100644 src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py new file mode 100644 index 000000000..83bc4a67d --- /dev/null +++ b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py @@ -0,0 +1,70 @@ +from typing import Optional, List +from langflow import CustomComponent +import json +from langchain.schema import BaseRetriever +from langchain.schema.vectorstore import VectorStore +from langchain.base_language import BaseLanguageModel +from langchain.retrievers.self_query.base import SelfQueryRetriever +from langchain.chains.query_constructor.base import AttributeInfo + + +class VectaraSelfQueryRetriverComponent(CustomComponent): + """ + A custom component for implementing Vectara Self Query Retriever using a vector store. + """ + + display_name: str = "Vectara Self Query Retriever for Vectara Vector Store" + description: str = "Implementation of Vectara Self Query Retriever" + documentation = ( + "https://python.langchain.com/docs/integrations/retrievers/self_query/vectara_self_query" + ) + beta = True + + field_config = { + "code": {"show": True}, + "vectorstore": { + "display_name": "Vector Store", + "info": "Input Vectara Vectore Store" + }, + "llm": { + "display_name": "LLM", + "info": "For self query retriever" + }, + "document_content_description":{ + "display_name": "Document Content Description", + "info": "For self query retriever", + }, + "metadata_field_info": { + "display_name": "Metadata Field Info", + "info": "Each metadata field info is a string in the form of key value pair dictionary containing additional search metadata.\nExample input: {\"name\":\"speech\",\"description\":\"what name of the speech\",\"type\":\"string or list[string]\"}.\nThe keys should remain constant(name, description, type)", + }, + } + + def build( + self, + vectorstore: VectorStore = None, + document_content_description: str = None, + llm: BaseLanguageModel = None, + metadata_field_info: List[str] = None, + ) -> BaseRetriever: + + metadata_field_obj = [] + + for meta in metadata_field_info: + meta_obj = json.loads(meta) + if 'name' not in meta_obj or 'description' not in meta_obj or 'type' not in meta_obj : + raise Exception('Incorrect metadata field info format.') + attribute_info = AttributeInfo( + name = meta_obj['name'], + description = meta_obj['description'], + type = meta_obj['type'], + ) + metadata_field_obj.append(attribute_info) + + return SelfQueryRetriever.from_llm( + llm, + vectorstore, + document_content_description, + metadata_field_obj, + verbose=True + ) \ No newline at end of file From 5df7319bd853083db39c2d2ff8f2bee2413f3c99 Mon Sep 17 00:00:00 2001 From: Atharva J Date: Tue, 26 Dec 2023 01:28:21 +0530 Subject: [PATCH 16/31] for test cases --- .../components/retrievers/VectaraSelfQueryRetriver.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py index 83bc4a67d..bc8d78909 100644 --- a/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py +++ b/src/backend/langflow/components/retrievers/VectaraSelfQueryRetriver.py @@ -1,4 +1,4 @@ -from typing import Optional, List +from typing import List from langflow import CustomComponent import json from langchain.schema import BaseRetriever @@ -42,10 +42,10 @@ class VectaraSelfQueryRetriverComponent(CustomComponent): def build( self, - vectorstore: VectorStore = None, - document_content_description: str = None, - llm: BaseLanguageModel = None, - metadata_field_info: List[str] = None, + vectorstore: VectorStore, + document_content_description: str, + llm: BaseLanguageModel, + metadata_field_info: List[str], ) -> BaseRetriever: metadata_field_obj = [] From 3b6672e06d1fe897793f35591feee9d2e22cb8b2 Mon Sep 17 00:00:00 2001 From: yamonkjd Date: Tue, 26 Dec 2023 18:57:27 +0900 Subject: [PATCH 17/31] Update OllamaLLM.py --- .../langflow/components/llms/OllamaLLM.py | 122 +++++++++--------- 1 file changed, 64 insertions(+), 58 deletions(-) diff --git a/src/backend/langflow/components/llms/OllamaLLM.py b/src/backend/langflow/components/llms/OllamaLLM.py index 6e67970d5..9bf00ad5d 100644 --- a/src/backend/langflow/components/llms/OllamaLLM.py +++ b/src/backend/langflow/components/llms/OllamaLLM.py @@ -14,143 +14,149 @@ class OllamaLLM(CustomComponent): return { "base_url": { "display_name": "Base URL", - "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified." + "info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.", }, "model": { "display_name": "Model Name", "value": "llama2", - "info": "Refer to https://ollama.ai/library for more models." + "info": "Refer to https://ollama.ai/library for more models.", }, "temperature": { "display_name": "Temperature", "field_type": "float", "value": 0.8, - "info": "Controls the creativity of model responses." + "info": "Controls the creativity of model responses.", }, - "mirostat": { "display_name": "Mirostat", "options": ["Disabled", "Mirostat", "Mirostat 2.0"], "info": "Enable/disable Mirostat sampling for controlling perplexity.", "value": "Disabled", - "advanced": True + "advanced": True, }, "mirostat_eta": { "display_name": "Mirostat Eta", "field_type": "float", "info": "Learning rate influencing the algorithm's response to feedback.", - "advanced": True + "advanced": True, }, - - "mirostat_tau": { "display_name": "Mirostat Tau", "field_type": "float", - "value": 5.0, "info": "Controls balance between coherence and diversity.", - "advanced": True + "advanced": True, }, "num_ctx": { "display_name": "Context Window Size", "field_type": "int", - "value": 2048, "info": "Size of the context window for generating the next token.", - "advanced": True + "advanced": True, }, "num_gpu": { "display_name": "Number of GPUs", "field_type": "int", "info": "Number of GPUs to use for computation.", - "advanced": True + "advanced": True, }, "num_thread": { "display_name": "Number of Threads", "field_type": "int", "info": "Number of threads to use during computation.", - "advanced": True + "advanced": True, }, "repeat_last_n": { "display_name": "Repeat Last N", "field_type": "int", - "value": 64, "info": "Sets how far back the model looks to prevent repetition.", - "advanced": True + "advanced": True, }, "repeat_penalty": { "display_name": "Repeat Penalty", "field_type": "float", - "value": 1.1, "info": "Penalty for repetitions in generated text.", - "advanced": True + "advanced": True, }, - "stop": { "display_name": "Stop Tokens", - "info": "List of tokens to signal the model to stop generating text.", - "advanced": True + "advanced": True, }, "tfs_z": { "display_name": "TFS Z", "field_type": "float", - "value": 1, "info": "Tail free sampling to reduce impact of less probable tokens.", - "advanced": True + "advanced": True, }, "top_k": { "display_name": "Top K", "field_type": "int", - "value": 40, "info": "Limits token selection to top K for reducing nonsense generation.", - "advanced": True + "advanced": True, }, "top_p": { "display_name": "Top P", "field_type": "int", - "value": 0.9, "info": "Works with top-k to control diversity of generated text.", - "advanced": True + "advanced": True, }, } - def build(self, base_url: Optional[str], model: str, mirostat: str, mirostat_eta: Optional[float], - mirostat_tau: Optional[float], num_ctx: Optional[int], num_gpu: Optional[int], - num_thread: Optional[int], repeat_last_n: Optional[int], repeat_penalty: Optional[float], - temperature: Optional[float], stop: Optional[List[str]], tfs_z: Optional[float], - top_k: Optional[int], top_p: Optional[int]) -> BaseLLM: - + def build( + self, + base_url: Optional[str], + model: str, + temperature: Optional[float], + mirostat: Optional[str], + mirostat_eta: Optional[float] = None, + mirostat_tau: Optional[float] = None, + num_ctx: Optional[int] = None, + num_gpu: Optional[int] = None, + num_thread: Optional[int] = None, + repeat_last_n: Optional[int] = None, + repeat_penalty: Optional[float] = None, + stop: Optional[List[str]] = None, + tfs_z: Optional[float] = None, + top_k: Optional[int] = None, + top_p: Optional[int] = None, + ) -> BaseLLM: if not base_url: base_url = "http://localhost:11434" - mirostat_value = 0 # Default value for 'Disabled' + # Mapping mirostat settings to their corresponding values + mirostat_options = {"Mirostat": 1, "Mirostat 2.0": 2} - # Map the textual option to the corresponding integer - if mirostat == "Mirostat": - mirostat_value = 1 - elif mirostat == "Mirostat 2.0": - mirostat_value = 2 + # Default to 0 for 'Disabled' + mirostat_value = mirostat_options.get(mirostat, 0) # type: ignore + + # Set mirostat_eta and mirostat_tau to None if mirostat is disabled + if mirostat_value == 0: + mirostat_eta = None + mirostat_tau = None + + llm_params = { + "base_url": base_url, + "model": model, + "mirostat": mirostat_value, + "mirostat_eta": mirostat_eta, + "mirostat_tau": mirostat_tau, + "num_ctx": num_ctx, + "num_gpu": num_gpu, + "num_thread": num_thread, + "repeat_last_n": repeat_last_n, + "repeat_penalty": repeat_penalty, + "temperature": temperature, + "stop": stop, + "tfs_z": tfs_z, + "top_k": top_k, + "top_p": top_p, + } + + # None Value remove + llm_params = {k: v for k, v in llm_params.items() if v is not None} - params = {k: v for k, v in { - 'base_url': base_url, - 'model': model, - 'mirostat': mirostat_value, - 'mirostat_eta': mirostat_eta, - 'mirostat_tau': mirostat_tau, - 'num_ctx': num_ctx, - 'num_gpu': num_gpu, - 'num_thread': num_thread, - 'repeat_last_n': repeat_last_n, - 'repeat_penalty': repeat_penalty, - 'temperature': temperature, - 'stop': stop, - 'tfs_z': tfs_z, - 'top_k': top_k, - 'top_p': top_p, - 'streaming' :"True" - }.items() if v is not None} try: - llm = Ollama(**params) + llm = Ollama(**llm_params) except Exception as e: raise ValueError("Could not connect to Ollama.") from e From e9cd3392784ffa8b7d7674265097d0398cc4906f Mon Sep 17 00:00:00 2001 From: yamonkjd Date: Tue, 26 Dec 2023 18:57:40 +0900 Subject: [PATCH 18/31] Update ChatOllamaEndpoint.py --- src/backend/langflow/components/llms/ChatOllamaEndpoint.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py index a6f79c332..94e9df695 100644 --- a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py +++ b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py @@ -163,6 +163,7 @@ class ChatOllamaComponent(CustomComponent): "display_name": "Template", "field_type": "str", "info": "Template to use for generating text.", + "advanced": True, }, } @@ -210,6 +211,7 @@ class ChatOllamaComponent(CustomComponent): mirostat_eta = None mirostat_tau = None + # Mapping system settings to their corresponding values llm_params = { "base_url": base_url, "cache": cache, From 96f6a88ad38022ec26180d3141b4e3727f5f84c0 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Wed, 27 Dec 2023 16:27:05 -0300 Subject: [PATCH 19/31] Add pytube library as a dependency --- poetry.lock | 13 ++++++++++++- pyproject.toml | 1 + 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 8d2b12d2e..a7cc6395b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -6533,6 +6533,17 @@ files = [ [package.extras] dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"] +[[package]] +name = "pytube" +version = "15.0.0" +description = "Python 3 library for downloading YouTube Videos." +optional = false +python-versions = ">=3.7" +files = [ + {file = "pytube-15.0.0-py3-none-any.whl", hash = "sha256:07b9904749e213485780d7eb606e5e5b8e4341aa4dccf699160876da00e12d78"}, + {file = "pytube-15.0.0.tar.gz", hash = "sha256:076052efe76f390dfa24b1194ff821d4e86c17d41cb5562f3a276a8bcbfc9d1d"}, +] + [[package]] name = "pytz" version = "2023.3.post1" @@ -9341,4 +9352,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "2309dbc81b811f81dadcd68200b7266265ddc7e60429ed2e5f1612ebd2dad9d9" +content-hash = "ca4f24c5ac153737e6af2f8608ef51ce915b8d684ba982f0f0d575f2804280b5" diff --git a/pyproject.toml b/pyproject.toml index 13986e8b4..14e0bd814 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -104,6 +104,7 @@ qianfan = "0.0.5" pgvector = "^0.2.3" pyautogen = "^0.2.0" langchain-google-genai = "^0.0.2" +pytube = "^15.0.0" [tool.poetry.group.dev.dependencies] pytest-asyncio = "^0.23.1" From 58eebab84be3efdae20d68b1479753c69b8d16d5 Mon Sep 17 00:00:00 2001 From: cristhianzl Date: Thu, 28 Dec 2023 10:57:02 -0300 Subject: [PATCH 20/31] fix(dropdownComponent): add condition to check if options object is empty before rendering dropdown component fix(chatInput): add condition to check if chatValue is an empty object before displaying message fix(chatMessage): remove useMemo hook and fix condition to check if chat message is empty before displaying message fix(formModal): add conditions to check if thought and files exist before updating chat object fix(genericModal): add condition to check if inputVariables exist before displaying notice or success message --- .../components/dropdownComponent/index.tsx | 208 +++++++++--------- .../src/modals/formModal/chatInput/index.tsx | 9 +- .../modals/formModal/chatMessage/index.tsx | 132 ++++++----- src/frontend/src/modals/formModal/index.tsx | 7 +- .../src/modals/genericModal/index.tsx | 23 +- 5 files changed, 195 insertions(+), 184 deletions(-) diff --git a/src/frontend/src/components/dropdownComponent/index.tsx b/src/frontend/src/components/dropdownComponent/index.tsx index b5e3f534e..db488aaac 100644 --- a/src/frontend/src/components/dropdownComponent/index.tsx +++ b/src/frontend/src/components/dropdownComponent/index.tsx @@ -23,107 +23,119 @@ export default function Dropdown({ return ( <> - { - setInternalValue(value); - onSelect(value); - }} - > - {({ open }) => ( - <> -
- - - {internalValue} - - - - - - - - {options.map((option, id) => ( - - classNames( - active ? " bg-accent" : "", - editNode - ? "dropdown-component-false-option" - : "dropdown-component-true-option" - ) - } - value={option} + {Object.keys(options)?.length > 0 ? ( + <> + { + setInternalValue(value); + onSelect(value); + }} + > + {({ open }) => ( + <> +
+ + - {({ selected, active }) => ( - <> - - {option} - + {internalValue} + + + + - {selected ? ( - - - ) : null} - + + - ))} - - -
- - )} - + > + {options?.map((option, id) => ( + + classNames( + active ? " bg-accent" : "", + editNode + ? "dropdown-component-false-option" + : "dropdown-component-true-option" + ) + } + value={option} + > + {({ selected, active }) => ( + <> + + {option} + + + {selected ? ( + + + ) : null} + + )} + + ))} + + +
+ + )} + + + ) : ( + <> +
+ + No parameters are available for display. + +
+ + )} ); } diff --git a/src/frontend/src/modals/formModal/chatInput/index.tsx b/src/frontend/src/modals/formModal/chatInput/index.tsx index 1d61b0df7..242ce6532 100644 --- a/src/frontend/src/modals/formModal/chatInput/index.tsx +++ b/src/frontend/src/modals/formModal/chatInput/index.tsx @@ -46,7 +46,14 @@ export default function ChatInput({ : "hidden" }`, }} - value={lockChat ? "Thinking..." : chatValue} + value={ + lockChat + ? "Thinking..." + : typeof chatValue === "object" && + Object.keys(chatValue)?.length === 0 + ? "No chat input variables found. Click to run your flow." + : chatValue + } onChange={(event): void => { setChatValue(event.target.value); }} diff --git a/src/frontend/src/modals/formModal/chatMessage/index.tsx b/src/frontend/src/modals/formModal/chatMessage/index.tsx index 4a7f968f6..f9efd1f39 100644 --- a/src/frontend/src/modals/formModal/chatMessage/index.tsx +++ b/src/frontend/src/modals/formModal/chatMessage/index.tsx @@ -1,5 +1,5 @@ import Convert from "ansi-to-html"; -import { useMemo, useState } from "react"; +import { useState } from "react"; import ReactMarkdown from "react-markdown"; import rehypeMathjax from "rehype-mathjax"; import remarkGfm from "remark-gfm"; @@ -74,77 +74,71 @@ export default function ChatMessage({
- {useMemo( - () => - chat.message.toString() === "" && lockChat ? ( - - ) : ( - + ) : ( + {props.children}; - }, - code: ({ - node, - inline, - className, - children, - ...props - }) => { - if (children.length) { - if (children[0] === "▍") { - return ( - - ▍ - - ); - } - - children[0] = (children[0] as string).replace( - "`▍`", - "▍" - ); - } - - const match = /language-(\w+)/.exec( - className || "" + components={{ + pre({ node, ...props }) { + return <>{props.children}; + }, + code: ({ + node, + inline, + className, + children, + ...props + }) => { + if (children.length) { + if (children[0] === "▍") { + return ( + + ▍ + ); + } - return !inline ? ( - {}} - /> - ) : ( - - {children} - - ); - }, - }} - > - {chat.message.toString()} - - ), - [chat.message, chat.message.toString()] + children[0] = (children[0] as string).replace( + "`▍`", + "▍" + ); + } + + const match = /language-(\w+)/.exec(className || ""); + + return !inline ? ( + {}} + /> + ) : ( + + {children} + + ); + }, + }} + > + {chat.message.toString()} + )}
{chat.files && ( diff --git a/src/frontend/src/modals/formModal/index.tsx b/src/frontend/src/modals/formModal/index.tsx index c2c39c1e0..571cbca06 100644 --- a/src/frontend/src/modals/formModal/index.tsx +++ b/src/frontend/src/modals/formModal/index.tsx @@ -146,13 +146,14 @@ export default function FormModal({ newChat[newChat.length - 1].message + str; } } - if (thought) { + + if (thought && newChat[newChat.length - 1]?.thought) { newChat[newChat.length - 1].thought = thought; } - if (files) { + if (files && newChat[newChat.length - 1]?.files) { newChat[newChat.length - 1].files = files; } - if (prompt) { + if (prompt && newChat[newChat.length - 2]?.template) { newChat[newChat.length - 2].template = prompt; } return newChat; diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx index 355d0afcd..064ae87b4 100644 --- a/src/frontend/src/modals/genericModal/index.tsx +++ b/src/frontend/src/modals/genericModal/index.tsx @@ -122,24 +122,21 @@ export default function GenericModal({ } if (apiReturn.data) { let inputVariables = apiReturn.data.input_variables ?? []; + if ( + JSON.stringify(apiReturn.data?.frontend_node) !== JSON.stringify({}) + ) { + setNodeClass!(apiReturn.data?.frontend_node, inputValue); + setModalOpen(closeModal); + setIsEdit(false); + } if (!inputVariables || inputVariables.length === 0) { - setIsEdit(true); setNoticeData({ title: "Your template does not have any variables.", }); - setModalOpen(false); } else { - if ( - JSON.stringify(apiReturn.data?.frontend_node) !== - JSON.stringify({}) - ) { - setNodeClass!(apiReturn.data?.frontend_node, inputValue); - setModalOpen(closeModal); - setIsEdit(false); - setSuccessData({ - title: "Prompt is ready", - }); - } + setSuccessData({ + title: "Prompt is ready", + }); } } else { setIsEdit(true); From 23b2629b29f9bb6c1930602bcf01daf62ae3bc5a Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 07:38:53 -0300 Subject: [PATCH 21/31] Add QEMU, Docker Buildx, and Docker Hub integration --- .github/workflows/pre-release.yml | 15 +++++++++++++++ 1 file changed, 15 insertions(+) diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml index 77f10c392..5ec1eeaf3 100644 --- a/.github/workflows/pre-release.yml +++ b/.github/workflows/pre-release.yml @@ -47,3 +47,18 @@ jobs: POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} run: | poetry publish + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + - name: Login to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + - name: Build and push + uses: docker/build-push-action@v5 + with: + context: . + push: true + tags: logspace/langflow:${{ steps.check-version.outputs.version }} From 2e464d3348bfdac5a7b160fcf66d24f20ba04541 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 08:04:20 -0300 Subject: [PATCH 22/31] Update dependencies in pyproject.toml --- poetry.lock | 1032 ++++++++++++++++++++---------------------------- pyproject.toml | 30 +- 2 files changed, 450 insertions(+), 612 deletions(-) diff --git a/poetry.lock b/poetry.lock index a7cc6395b..f46dd00a0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -107,6 +107,17 @@ yarl = ">=1.0,<2.0" [package.extras] speedups = ["Brotli", "aiodns", "brotlicffi"] +[[package]] +name = "aiolimiter" +version = "1.1.0" +description = "asyncio rate limiter, a leaky bucket implementation" +optional = false +python-versions = ">=3.7,<4.0" +files = [ + {file = "aiolimiter-1.1.0-py3-none-any.whl", hash = "sha256:0b4997961fc58b8df40279e739f9cf0d3e255e63e9a44f64df567a8c17241e24"}, + {file = "aiolimiter-1.1.0.tar.gz", hash = "sha256:461cf02f82a29347340d031626c92853645c099cb5ff85577b831a7bd21132b5"}, +] + [[package]] name = "aiosignal" version = "1.3.1" @@ -167,13 +178,13 @@ files = [ [[package]] name = "anthropic" -version = "0.7.8" +version = "0.8.1" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.7.8-py3-none-any.whl", hash = "sha256:268db974578e34d1449cd0d22389394f0c61795ace9a101dcde4eab4b98439bf"}, - {file = "anthropic-0.7.8.tar.gz", hash = "sha256:61bc698553b24bc7721cf71db8de50703f3025ea2d14fa4bcb5b1d2bf37f9e40"}, + {file = "anthropic-0.8.1-py3-none-any.whl", hash = "sha256:4578b99d6e140c84ad5f409e460aabc85acffc6e189dfd91378b9277b4c158b7"}, + {file = "anthropic-0.8.1.tar.gz", hash = "sha256:736cf85681b8ed066014b0485d8d5be1f2aae65f86e6a25c76a5d5ebb970eee5"}, ] [package.dependencies] @@ -183,28 +194,29 @@ httpx = ">=0.23.0,<1" pydantic = ">=1.9.0,<3" sniffio = "*" tokenizers = ">=0.13.0" -typing-extensions = ">=4.5,<5" +typing-extensions = ">=4.7,<5" [[package]] name = "anyio" -version = "3.7.1" +version = "4.2.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, - {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, + {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, + {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, ] [package.dependencies] -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} idna = ">=2.8" sniffio = ">=1.1" +typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} [package.extras] -doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"] -test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil 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"A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ From 667625e7402c580d9658b8f1b0fef1f56838d4e9 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 09:38:08 -0300 Subject: [PATCH 24/31] Add Dockerfile for building and pushing the application image --- build_and_push.Dockerfile | 79 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 79 insertions(+) create mode 100644 build_and_push.Dockerfile diff --git a/build_and_push.Dockerfile b/build_and_push.Dockerfile new file mode 100644 index 000000000..f296d83aa --- /dev/null +++ b/build_and_push.Dockerfile @@ -0,0 +1,79 @@ + + +# syntax=docker/dockerfile:1 +# Keep this syntax directive! It's used to enable Docker BuildKit + +# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865 +# but I try to keep it updated (see history) + +################################ +# PYTHON-BASE +# Sets up all our shared environment variables +################################ +FROM python:3.10-slim as python-base + +# python +ENV PYTHONUNBUFFERED=1 \ + # prevents python creating .pyc files + PYTHONDONTWRITEBYTECODE=1 \ + \ + # pip + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + \ + # poetry + # https://python-poetry.org/docs/configuration/#using-environment-variables + POETRY_VERSION=1.7.1 \ + # make poetry install to this location + POETRY_HOME="/opt/poetry" \ + # make poetry create the virtual environment in the project's root + # it gets named `.venv` + POETRY_VIRTUALENVS_IN_PROJECT=true \ + # do not ask any interactive question + POETRY_NO_INTERACTION=1 \ + \ + # paths + # this is where our requirements + virtual environment will live + PYSETUP_PATH="/opt/pysetup" \ + VENV_PATH="/opt/pysetup/.venv" + + +# prepend poetry and venv to path +ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" + + +################################ +# BUILDER-BASE +# Used to build deps + create our virtual environment +################################ +FROM python-base as builder-base +RUN +RUN apt-get update \ + && apt-get install --no-install-recommends -y \ + # deps for installing poetry + curl \ + # deps for building python deps + build-essential \ + # npm + npm + + +# Now we need to copy the entire project into the image +WORKDIR /app +COPY pyproject.toml poetry.lock ./ +COPY src ./src +COPY Makefile ./ +COPY README.md ./ +RUN curl -sSL https://install.python-poetry.org | python3 - && make build + +# Final stage for the application +FROM python-base as final + +# Copy virtual environment and built .tar.gz from builder base +COPY --from=builder-base /app/dist/*.tar.gz ./ + +# Install the package from the .tar.gz +RUN pip install *.tar.gz + +WORKDIR /app +CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] From bb7ac56b6e36ea6ceeae42b48e4df7663f2483aa Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 09:38:14 -0300 Subject: [PATCH 25/31] Add Dockerfile for build and push --- .github/workflows/pre-release.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml index 5ec1eeaf3..da449dae3 100644 --- a/.github/workflows/pre-release.yml +++ b/.github/workflows/pre-release.yml @@ -61,4 +61,5 @@ jobs: with: context: . push: true + file: ./build_and_push.Dockerfile tags: logspace/langflow:${{ steps.check-version.outputs.version }} From 74a8954eb0848f771412466064dc83464ed19f45 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 09:45:03 -0300 Subject: [PATCH 26/31] Update bcrypt version to 4.0.1 --- poetry.lock | 54 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-content-hash = "11d0ab808a80c4d010cdfbd3b04a9cf08be3ddf315e6dc7b70e18f958bfac4ae" +content-hash = "298c4c74d1e9ed37405bfbeaefb8ecd5d766d970a4e16fb37cbbccbab79573ce" diff --git a/pyproject.toml b/pyproject.toml index cd3116764..b29c11036 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.4a0" +version = "0.6.4a1" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -83,7 +83,7 @@ redis = { version = "^4.6.0", optional = true } flower = { version = "^2.0.0", optional = true } alembic = "^1.13.0" passlib = "^1.7.4" -bcrypt = "4.1.2" +bcrypt = "4.0.1" python-jose = "^3.3.0" metaphor-python = "^0.1.11" pydantic = "^2.5.0" From 7e28707a23e1f33efb0fcdfc9c8179606c50e09d Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 09:45:09 -0300 Subject: [PATCH 27/31] Add .dockerignore entries for node_modules and dist directories --- .dockerignore | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/.dockerignore b/.dockerignore index 295affff3..9527e22f6 100644 --- a/.dockerignore +++ b/.dockerignore @@ -1,2 +1,5 @@ .venv/ -**/aws \ No newline at end of file +**/aws +# node_modules +**/node_modules/ +dist/ \ No newline at end of file From b9fea47dd13f4fd9af88ac7c85cc1a903e1e3fdc Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 10:46:39 -0300 Subject: [PATCH 28/31] Update .dockerignore file --- .dockerignore | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.dockerignore b/.dockerignore index 9527e22f6..130ca4c2c 100644 --- a/.dockerignore +++ b/.dockerignore @@ -2,4 +2,6 @@ **/aws # node_modules **/node_modules/ -dist/ \ No newline at end of file +dist/ +**/build/ +src/backend/langflow/frontend \ No newline at end of file From 41a7911f05f198433d681ccfbee0a17b94b3849c Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 10:49:40 -0300 Subject: [PATCH 29/31] Add QEMU, Docker Buildx, and Docker Hub integration --- .github/workflows/release.yml | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 908c5fc51..b14fbc17b 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -45,3 +45,21 @@ jobs: POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} run: | poetry publish + - name: Set up QEMU + uses: docker/setup-qemu-action@v3 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + - name: Login to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + - name: Build and push + uses: docker/build-push-action@v5 + with: + context: . + push: true + file: ./build_and_push.Dockerfile + tags: | + logspace/langflow:${{ steps.check-version.outputs.version }} + logspace/langflow:latest From c1c2b8ffc3d6bceb9cae8bff65594f87f6878240 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 10:51:09 -0300 Subject: [PATCH 30/31] Update version number in pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index b29c11036..0d068173a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.4a1" +version = "0.6.4" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ From d9fe8c838d5e9b95126d34cb06b7e021ca9e5eb3 Mon Sep 17 00:00:00 2001 From: Gabriel Luiz Freitas Almeida Date: Fri, 29 Dec 2023 11:00:34 -0300 Subject: [PATCH 31/31] Refactor ChatOllamaEndpoint.py --- src/backend/langflow/components/llms/ChatOllamaEndpoint.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py index 94e9df695..3201ff432 100644 --- a/src/backend/langflow/components/llms/ChatOllamaEndpoint.py +++ b/src/backend/langflow/components/llms/ChatOllamaEndpoint.py @@ -1,13 +1,12 @@ -from typing import Optional, List, Dict, Any -from langchain.chat_models.base import BaseChatModel +from typing import Any, Dict, List, Optional # from langchain_community.chat_models import ChatOllama from langchain.chat_models import ChatOllama +from langchain.chat_models.base import BaseChatModel # from langchain.chat_models import ChatOllama from langflow import CustomComponent - # whe When a callback component is added to Langflow, the comment must be uncommented. # from langchain.callbacks.manager import CallbackManager @@ -246,7 +245,7 @@ class ChatOllamaComponent(CustomComponent): llm_params = {k: v for k, v in llm_params.items() if v is not None} try: - output = ChatOllama(**llm_params) + output = ChatOllama(**llm_params) # type: ignore except Exception as e: raise ValueError("Could not initialize Ollama LLM.") from e