Merge branch 'dev' of https://github.com/logspace-ai/langflow into backend_refactor

CONTRIBUTING.md

@@ -0,0 +1,40 @@
+# Contributing to LangFlow
+
+Hello there! I appreciate your interest in contributing to LangFlow.
+As an open-source project in a rapidly developing field, we are extremely open
+to contributions, whether it be in the form of a new feature, improved infra, or better documentation.
+
+To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow.
+Please do not try to push directly to this repo unless you are a maintainer.
+
+## 🗺️Contributing Guidelines
+
+### 🚩GitHub Issues
+
+Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date
+with bugs, improvements, and feature requests. There is a taxonomy of labels to help
+with sorting and discovery of issues of interest.
+
+If you're looking for help with your code, consider posting a question on the
+[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions) or
+[Stack Overflow](http://stackoverflow.com/questions/). Please
+understand that we won't be able to provide individual support via email. We
+also believe that help is much more valuable if it's **shared publicly**,
+so that more people can benefit from it.
+
+- **Describing your issue:** Try to provide as many details as possible. What
+  exactly goes wrong? _How_ is it failing? Is there an error?
+  "XY doesn't work" usually isn't that helpful for tracking down problems. Always
+  remember to include the code you ran and if possible, extract only the relevant
+  parts and don't just dump your entire script. This will make it easier for us to
+  reproduce the error.
+  
+- **Sharing long blocks of code or logs:** If you need to include long code,
+  logs or tracebacks, you can wrap them in `<details>` and `</details>`. This
+  [collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details)
+  so it only becomes visible on click, making the issue easier to read and follow.
+  
+### Issue labels
+
+[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of
+the system we use to tag our issues and pull requests.

Dockerfile

@@ -52,14 +52,7 @@ COPY ./langflow ./langflow
 # Copy files from frontend
 COPY --from=frontend_build /app/build /app/langflow/frontend/build/
 
-
-
-# RUN pip install langflow-0.0.17-py3-none-any.whl
 RUN pip install .
-# RUN poetry add dist/langflow-0.0.17-py3-none-any.whl
-# RUN rm *.whl
-
-# RUN poetry build
 
 EXPOSE 5003
 

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Logspace
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -0,0 +1,55 @@
+<!-- Title -->
+
+# ⛓️ LangFlow
+
+~ A no-code flow builder for langchain ~
+
+<p>
+<img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/logspace-ai/langflow" />
+<img alt="GitHub Last Commit" src="https://img.shields.io/github/last-commit/logspace-ai/langflow" />
+<!-- <img alt="GitHub Language Count" src="https://img.shields.io/github/languages/count/logspace-ai/langflow" /> -->
+<img alt="" src="https://img.shields.io/github/repo-size/logspace-ai/langflow" />
+<!-- <img alt="GitHub Issues" src="https://img.shields.io/github/issues/logspace-ai/langflow" /> -->
+<!-- <img alt="GitHub Closed Issues" src="https://img.shields.io/github/issues-closed/logspace-ai/langflow" /> -->
+<!-- <img alt="GitHub Pull Requests" src="https://img.shields.io/github/issues-pr/logspace-ai/langflow" /> -->
+<!-- <img alt="GitHub Closed Pull Requests" src="https://img.shields.io/github/issues-pr-closed/logspace-ai/langflow" />  -->
+<!-- <img alt="GitHub Commit Activity (Year)" src="https://img.shields.io/github/commit-activity/y/logspace-ai/langflow" /> -->
+<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />  
+</p>
+
+![LangFlow Logo](https://github.com/logspace-ai/langflow/blob/main/img/llm_simple_flow.png)
+
+LangFlow is a no-code flow builder for LangChain, designed to provide a drag-and-drop UI, combining the capabilities of LangChain with reactFlow and a chat interface.
+
+## 📦 Installation
+
+You can install LangFlow from pip:
+
+`pip install langflow`
+
+Next, set the `OPENAI_API_KEY` environment variable using one of the following methods:
+
+- Use the following command in your terminal: `export OPENAI_API_KEY=your-api-key`.
+- In a Python script or Jupyter notebook, use the following code: `import os; os.environ["OPENAI_API_KEY"] = "your-api-key"`.
+
+## 🎨 Creating Flows
+
+Creating flows with LangFlow is easy, thanks to its intuitive drag-and-drop interface. Simply drag components from the sidebar onto the canvas, and connect them together to create your custom NLP pipeline. LangFlow provides a range of pre-built components to choose from, including LLMs, prompt serializers, agents, and chains.
+
+## 💻 Examples
+
+LangFlow comes with a number of example flows to help you get started. These examples cover a range of use cases, from chatbots and question-answering systems to data augmentation and model comparison. You can use these examples as a starting point for your own custom flows, or modify them to suit your needs.
+
+## 🧰 Components
+
+LangFlow provides support for LangChain main components, including prompts, LLMs, document loaders, utils, chains, indexes, agents, and memory. For each module, we provide examples to get started, how-to guides, reference docs, and conceptual guides.
+
+For more information on each component, please refer to the [Modules section of the LangChain documentation](https://langchain-docs.example.com/modules).
+
+## 🔧 Contributing
+
+We welcome contributions to LangFlow! If you'd like to contribute, please follow our contributing guidelines. You can also get in touch with us via GitHub issues or our community forum.
+
+## 📄 License
+
+LangFlow is released under the MIT License. See the LICENSE file for details.

build_and_push

@@ -8,5 +8,4 @@ docker build -t logspace/backend_build -f build.Dockerfile .
 cd ../../
 VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
 docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
-# docker push ibiscp/langflow:$VERSION
-# poetry add --editable ../../../langchain
+docker push ibiscp/langflow:$VERSION

langflow/backend/langflow_backend/api/endpoints.py

@@ -42,27 +42,6 @@ def get_all():
             for prompt in list_endpoints.list_prompts()
         },
         "llms": {llm: signature.get_llm(llm) for llm in list_endpoints.list_llms()},
-        # "utilities": {
-        #     "template": {
-        #         # utility: templates.utility(utility) for utility in list.list_utilities()
-        #     }
-        # },
-        # "memories": {
-        #     memory: signature.get_memory(memory)
-        #     for memory in list_endpoints.list_memories()
-        # },
-        # "document_loaders": {
-        #     "template": {
-        #         # memory: templates.document_loader(memory)
-        #         # for memory in list.list_document_loaders()
-        #     }
-        # },
-        # "vectorstores": {"template": {}},
-        # "docstores": {"template": {}},
-        # "tools": {
-        #     tool: {"template": signature.tool(tool), **values}
-        #     for tool, values in tools.items()
-        # },
         "tools": {
             tool: signature.get_tool(tool) for tool in list_endpoints.list_tools()
         },

langflow/backend/langflow_backend/api/list_endpoints.py

@@ -25,11 +25,6 @@ def read_items():
         "agents",
         "prompts",
         "llms",
-        # "utilities",
-        # "memories",
-        # "document_loaders",
-        # "vectorstores",
-        # "docstores",
         "tools",
     ]
 
@@ -83,30 +78,6 @@ def list_memories():
     return [memory.__name__ for memory in memories.type_to_cls_dict.values()]
 
 
-# @router.get("/utilities")
-# def list_utilities():
-#     """List all utility types"""
-#     return list(utilities.__all__)
-
-
-# @router.get("/document_loaders")
-# def list_document_loaders():
-#     """List all document loader types"""
-#     return list(document_loaders.__all__)
-
-
-# @router.get("/vectorstores")
-# def list_vectorstores():
-#     """List all vector store types"""
-#     return list(vectorstores.__all__)
-
-
-# @router.get("/docstores")
-# def list_docstores():
-#     """List all document store types"""
-#     return list(docstore.__all__)
-
-
 @router.get("/tools")
 def list_tools():
     """List all load tools"""
@@ -119,8 +90,3 @@ def list_tools():
             tools.append(tool_params["name"])
 
     return tools
-
-    # return [
-    #     util.get_tool_params(util.get_tools_dict(tool))["name"]
-    #     for tool in get_all_tool_names()
-    # ]

langflow/backend/langflow_backend/api/signature.py

@@ -62,18 +62,6 @@ def get_llm(name: str):
         raise HTTPException(status_code=404, detail="LLM not found") from exc
 
 
-# @router.get("/utility")
-# def utility(name: str):
-#     # Raise error if name is not in utilities
-#     if name not in utilities.__all__:
-#         raise Exception(f"Prompt {name} not found.")
-#     _class = getattr(utilities, name)
-#     return {
-#         name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
-#         for name, value in _class.__fields__.items()
-#     }
-
-
 @router.get("/memory")
 def get_memory(name: str):
     """Get the signature of a memory."""
@@ -83,18 +71,6 @@ def get_memory(name: str):
         raise HTTPException(status_code=404, detail="Memory not found") from exc
 
 
-# @router.get("/document_loader")
-# def document_loader(name: str):
-#     # Raise error if name is not in document_loader
-#     if name not in document_loaders.__all__:
-#         raise Exception(f"Prompt {name} not found.")
-#     _class = getattr(document_loaders, name)
-#     return {
-#         name: {name: value for (name, value) in value.__repr_args__() if name != "name"}
-#         for name, value in _class.__fields__.items()
-#     }
-
-
 @router.get("/tool")
 def get_tool(name: str):
     """Get the signature of a tool."""

langflow/backend/langflow_backend/custom/customs.py

@@ -2,6 +2,8 @@ from langchain.agents.mrkl import prompt
 
 
 def get_custom_prompts():
+    """Get custom prompts."""
+    
     return {
         "ZeroShotPrompt": {
             "template": {

langflow/backend/langflow_backend/utils/payload.py

@@ -52,21 +52,15 @@ def build_json(root, nodes, edges):
     for key, value in final_dict.items():
         if key == "_type":
             continue
-        # elif key == "prompt":
-        #     pass
 
         module_type = value["type"]
-        # if module_type == "Tool":
-        #     pass
-        # if module_type in ["str", "bool", "int", "float", "Any"] or value["value"]:
-        #     value = value["value"]
+
         if "value" in value and value["value"] is not None:
             value = value["value"]
         elif "dict" in module_type:
             value = {}
         else:
-            # if value['list']:
-            # print(key)
+
             children = []
             for c in local_nodes:
                 module_types = [c["data"]["type"]]
@@ -74,19 +68,12 @@ def build_json(root, nodes, edges):
                     module_types += c["data"]["node"]["base_classes"]
                 if module_type in module_types:
                     children.append(c)
-            # children = [
-            #     c
-            #     for c in local_nodes
-            #     if module_type
-            #     in [c["data"]["type"]] + c["data"]["node"]["base_classes"]
-            # ]
-            # else:
-            #     children = next((c for c in local_nodes if type in [c['data']['type']] + c['data']['node']['base_classes']), None)
+
             if value["required"] and not children:
                 raise ValueError(f"No child with type {module_type} found")
             values = [
                 build_json(child, nodes, edges) for child in children
-            ]  # if children else None
+            ]
             value = list(values) if value["list"] else next(iter(values), None)
         final_dict[key] = value
     return final_dict