refac: remove not tested components

langflow/backend/Dockerfile

@@ -6,7 +6,7 @@ WORKDIR /app
 RUN apt-get update && apt-get install git -y
 
 COPY --from=backend_build /app/dist/*.whl /app/
-RUN pip install langflow-0.0.17-py3-none-any.whl
+RUN pip install langflow-0.0.19-py3-none-any.whl
 RUN rm *.whl
 
 EXPOSE 80

langflow/backend/allowed_components.py

@@ -0,0 +1,9 @@
+CHAINS = ["LLMChain", "LLMMathChain", "LLMRequestsChain", "LLMBashChain"]
+
+AGENTS = ["ZeroShotAgent"]
+
+PROMPTS = ["PromptTemplate", "FewShotPromptTemplate"]
+
+LLMS = ["OpenAI"]
+
+TOOLS = ["Search", "requests_get", "PAL-MATH", "Calculator"]

langflow/backend/build_and_push

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

langflow/backend/endpoints.py

@@ -30,10 +30,6 @@ def get_type_list():
 
 @router.get("/all")
 def get_all():
-    # library_prompts = {
-    #     prompt: signature.get_prompt(prompt) for prompt in list_endpoints.list_prompts()
-    # }
-    # custom_prompts = customs.get_custom_prompts()
     return {
         "chains": {
             chain: signature.get_chain(chain) for chain in list_endpoints.list_chains()
@@ -41,7 +37,6 @@ def get_all():
         "agents": {
             agent: signature.get_agent(agent) for agent in list_endpoints.list_agents()
         },
-        # "prompts": {**library_prompts, **custom_prompts},
         "prompts": {
             prompt: signature.get_prompt(prompt)
             for prompt in list_endpoints.list_prompts()
@@ -128,7 +123,12 @@ def get_load(data: dict[str, Any]):
         result = "Error: Type should be either agent, chain or llm"
         thought = ""
 
-    return {"result": result, "thought": re.sub(r'\x1b\[([0-9,A-Z]{1,2}(;[0-9,A-Z]{1,2})?)?[m|K]', '', thought).strip()}
+    return {
+        "result": result,
+        "thought": re.sub(
+            r"\x1b\[([0-9,A-Z]{1,2}(;[0-9,A-Z]{1,2})?)?[m|K]", "", thought
+        ).strip(),
+    }
 
 
 def build_prompt_template(prompt, tools):
@@ -147,7 +147,6 @@ def build_prompt_template(prompt, tools):
     value = "\n\n".join([prefix, tool_strings, format_instructions, suffix])
 
     prompt["type"] = "PromptTemplate"
-    # prompt["value"] = value
 
     prompt["node"] = {
         "template": {

langflow/backend/list_endpoints.py

@@ -8,6 +8,7 @@ from langchain.chains.conversation import memory as memories
 from langchain.agents.load_tools import get_all_tool_names
 from langflow.backend import util
 from langflow.backend import customs
+from langflow.backend import allowed_components
 
 
 # build router
@@ -26,7 +27,7 @@ def read_items():
         "prompts",
         "llms",
         # "utilities",
-        "memories",
+        # "memories",
         # "document_loaders",
         # "vectorstores",
         # "docstores",
@@ -40,6 +41,7 @@ def list_chains():
     return [
         chain.__annotations__["return"].__name__
         for chain in chains.loading.type_to_loader_dict.values()
+        if chain.__annotations__["return"].__name__ in allowed_components.CHAINS
     ]
 
 
@@ -47,7 +49,11 @@ def list_chains():
 def list_agents():
     """List all agent types"""
     # return list(agents.loading.AGENT_TO_CLASS.keys())
-    return [agent.__name__ for agent in agents.loading.AGENT_TO_CLASS.values()]
+    return [
+        agent.__name__
+        for agent in agents.loading.AGENT_TO_CLASS.values()
+        if agent.__name__ in allowed_components.AGENTS
+    ]
 
 
 @router.get("/prompts")
@@ -57,6 +63,7 @@ def list_prompts():
     library_prompts = [
         prompt.__annotations__["return"].__name__
         for prompt in prompts.loading.type_to_loader_dict.values()
+        if prompt.__annotations__["return"].__name__ in allowed_components.PROMPTS
     ]
     return library_prompts + list(custom_prompts.keys())
 
@@ -64,7 +71,11 @@ def list_prompts():
 @router.get("/llms")
 def list_llms():
     """List all llm types"""
-    return [llm.__name__ for llm in llms.type_to_cls_dict.values()]
+    return [
+        llm.__name__
+        for llm in llms.type_to_cls_dict.values()
+        if llm.__name__ in allowed_components.LLMS
+    ]
 
 
 @router.get("/memories")
@@ -104,7 +115,8 @@ def list_tools():
     tools = []
 
     for tool in get_all_tool_names():
-        if tool_params := util.get_tool_params(util.get_tools_dict(tool)):
+        tool_params = util.get_tool_params(util.get_tools_dict(tool))
+        if tool_params and tool_params["name"] in allowed_components.TOOLS:
             tools.append(tool_params["name"])
 
     return tools

langflow/backend/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.0.17"
+version = "0.0.19"
 description = "Backend for Langflow"
 authors = ["Ibis Prevedello <ibiscp@gmail.com>"]
 # packages = [