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feat: add module and code hash to component's metadata (#8737)

Browse source 
* feat: filter out base components path in custom component loading

* revert changes to allow testing the function

* feat: add module_name parameter to custom component template functions

* feat: include full module name in component template creation

* feat: add module metadata to various starter project JSON files

* feat: add code hash generation for custom component templates

* test: add unit tests for code hash and module metadata functionality

* feat: add code hash to metadata in various starter project JSON files

* feat: refactor code hash generation to accept source code and class name

* feat: implement loading strategy for custom components in settings service

* Update metadata for various starter project JSON files to include code hashes and module references for ChatInput and ChatOutput components. This enhances traceability and consistency across the project configurations.

* refactor: improve _generate_code_hash function for better error handling and clarity

- Simplified the logic to generate a SHA256 hash of the source code.
- Added explicit error handling for empty source code, encoding issues, and type errors.
- Updated docstring to reflect changes in argument descriptions and added information about raised exceptions.

* test: add unit tests for metadata functionality in custom utils

- Introduced tests for the _generate_code_hash function, covering basic hash generation, error handling for empty and None source, hash consistency, and uniqueness for different code.
- Added tests to verify metadata addition in template building functions, ensuring that module names and code hashes are correctly included in the metadata of custom components.

---------

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
This commit is contained in:
Gabriel Luiz Freitas Almeida 2025-07-18 15:03:17 -03:00 • committed by GitHub
commit ca595ac7fb
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GPG key ID: B5690EEEBB952194
35 changed files with 863 additions and 165 deletions
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52
src/backend/base/langflow/custom/utils.py
View file

@ -2,6 +2,7 @@
import ast
import asyncio
import contextlib
import hashlib
import inspect
import re
import traceback
@ -32,6 +33,30 @@ from langflow.utils import validate
from langflow.utils.util import get_base_classes
def _generate_code_hash(source_code: str, modname: str, class_name: str) -> str:
"""Generate a hash of the component source code.
Args:
source_code: The source code string
modname: The module name for context
class_name: The class name for context
Returns:
SHA256 hash of the source code
Raises:
ValueError: If source_code is empty or None
UnicodeEncodeError: If source_code cannot be encoded
TypeError: If source_code is not a string
"""
if not source_code:
msg = f"Empty source code for {class_name} in {modname}"
raise ValueError(msg)
# Generate SHA256 hash of the source code
return hashlib.sha256(source_code.encode("utf-8")).hexdigest()[:12] # First 12 chars for brevity
class UpdateBuildConfigError(Exception):
pass
@ -415,7 +440,7 @@ def add_code_field_to_build_config(build_config: dict, raw_code: str):
def build_custom_component_template_from_inputs(
custom_component: Component | CustomComponent, user_id: str | UUID | None = None
custom_component: Component | CustomComponent, user_id: str | UUID | None = None, module_name: str | None = None
):
# The List of Inputs fills the role of the build_config and the entrypoint_args
"""Builds a frontend node template from a custom component using its input-based configuration.
@ -452,6 +477,13 @@ def build_custom_component_template_from_inputs(
# ! This should be removed when we have a better way to handle this
frontend_node.set_base_classes_from_outputs()
reorder_fields(frontend_node, cc_instance._get_field_order())
if module_name:
frontend_node.metadata["module"] = module_name
# Generate code hash for cache invalidation and debugging
code_hash = _generate_code_hash(custom_component._code, module_name, ctype_name)
if code_hash:
frontend_node.metadata["code_hash"] = code_hash
return frontend_node.to_dict(keep_name=False), cc_instance
@ -459,6 +491,7 @@ def build_custom_component_template_from_inputs(
def build_custom_component_template(
custom_component: CustomComponent,
user_id: str | UUID | None = None,
module_name: str | None = None,
) -> tuple[dict[str, Any], CustomComponent | Component]:
"""Builds a frontend node template and instance for a custom component.
@ -490,7 +523,9 @@ def build_custom_component_template(
)
try:
if "inputs" in custom_component.template_config:
return build_custom_component_template_from_inputs(custom_component, user_id=user_id)
return build_custom_component_template_from_inputs(
custom_component, user_id=user_id, module_name=module_name
)
frontend_node = CustomComponentFrontendNode(**custom_component.template_config)
field_config, custom_instance = run_build_config(
@ -509,6 +544,14 @@ def build_custom_component_template(
reorder_fields(frontend_node, custom_instance._get_field_order())
if module_name:
frontend_node.metadata["module"] = module_name
# Generate code hash for cache invalidation and debugging
code_hash = _generate_code_hash(custom_component._code, module_name, custom_component.__class__.__name__)
if code_hash:
frontend_node.metadata["code_hash"] = code_hash
return frontend_node.to_dict(keep_name=False), custom_instance
except Exception as exc:
if isinstance(exc, HTTPException):
@ -525,6 +568,7 @@ def build_custom_component_template(
def create_component_template(
component: dict | None = None,
component_extractor: Component | CustomComponent | None = None,
module_name: str | None = None,
):
"""Creates a component template and instance from either a component dictionary or an existing component extractor.
@ -539,7 +583,9 @@ def create_component_template(
component_extractor = Component(_code=component_code)
component_template, component_instance = build_custom_component_template(component_extractor)
component_template, component_instance = build_custom_component_template(
component_extractor, module_name=module_name
)
if not component_template["output_types"] and component_output_types:
component_template["output_types"] = component_output_types

10
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json
View file

@ -361,7 +361,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.5.0",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -659,7 +662,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.5.0",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{

15
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json
View file

@ -116,7 +116,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -402,7 +405,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -608,7 +614,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{

25
src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json
View file

@ -176,7 +176,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -348,7 +351,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -461,7 +467,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -781,7 +790,10 @@
"key": "ParserComponent",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "556209520650",
"module": "langflow.components.processing.parser.ParserComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -965,7 +977,10 @@
"key": "URLComponent",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "a81817a7f244",
"module": "langflow.components.data.url.URLComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json
View file

@ -236,7 +236,10 @@
"icon": "message-square-more",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "5ca89b168f3f",
"module": "langflow.components.helpers.memory.MemoryComponent"
},
"output_types": [],
"outputs": [
{
@ -559,7 +562,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -1918,7 +1924,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -2232,7 +2241,10 @@
"icon": "MessagesSquare",
"key": "ChatOutput",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json
View file

@ -146,7 +146,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -438,7 +441,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -778,7 +784,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -1226,7 +1235,10 @@
"icon": "file-text",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "0c57c835f136",
"module": "langflow.components.data.file.FileComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/Financial Report Parser.json
View file

@ -149,7 +149,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -461,7 +464,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1286,7 +1292,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "ad2a6f4552c0",
"module": "langflow.components.processing.structured_output.StructuredOutputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

30
src/backend/base/langflow/initial_setup/starter_projects/Hybrid Search RAG.json
View file

@ -204,7 +204,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -511,7 +514,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "556209520650",
"module": "langflow.components.processing.parser.ParserComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -690,7 +696,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -992,7 +1001,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "556209520650",
"module": "langflow.components.processing.parser.ParserComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1185,7 +1197,10 @@
"icon": "AstraDB",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "38a337e89ff4",
"module": "langflow.components.vectorstores.astradb.AstraDBVectorStoreComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2566,7 +2581,10 @@
"frozen": false,
"icon": "braces",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "ad2a6f4552c0",
"module": "langflow.components.processing.structured_output.StructuredOutputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json
View file

@ -233,7 +233,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -538,7 +541,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -871,7 +877,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -999,7 +1008,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "ad2a6f4552c0",
"module": "langflow.components.processing.structured_output.StructuredOutputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

35
src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json
View file

@ -290,7 +290,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -585,7 +588,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -756,7 +762,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -868,7 +877,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -1025,7 +1037,10 @@
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -1326,7 +1341,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -1541,7 +1559,10 @@
"frozen": false,
"icon": "TavilyIcon",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6843645056d9",
"module": "langflow.components.tavily.tavily_search.TavilySearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Invoice Summarizer.json
View file

@ -170,7 +170,10 @@
"is_input": null,
"is_output": null,
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"minimized": false,
"name": "",
"output_types": [],
@ -301,7 +304,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -662,7 +668,10 @@
"icon": "Needle",
"key": "needle",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "57d868cb067b",
"module": "langflow.components.needle.needle.NeedleComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -867,7 +876,10 @@
"icon": "MessagesSquare",
"key": "ChatInput",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Market Research.json
View file

@ -195,7 +195,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -493,7 +496,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -832,7 +838,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "ad2a6f4552c0",
"module": "langflow.components.processing.structured_output.StructuredOutputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1180,7 +1189,10 @@
"icon": "TavilyIcon",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "6843645056d9",
"module": "langflow.components.tavily.tavily_search.TavilySearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

45
src/backend/base/langflow/initial_setup/starter_projects/Meeting Summary.json
View file

@ -313,7 +313,10 @@
"icon": "AssemblyAI",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "6fd1a65a4904",
"module": "langflow.components.assemblyai.assemblyai_poll_transcript.AssemblyAITranscriptionJobPoller"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -466,7 +469,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"minimized": false,
"name": "",
"output_types": [],
@ -619,7 +625,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -921,7 +930,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1223,7 +1235,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1526,7 +1541,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"minimized": false,
"name": "",
"output_types": [],
@ -1699,7 +1717,10 @@
"icon": "message-square-more",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "5ca89b168f3f",
"module": "langflow.components.helpers.memory.MemoryComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2026,7 +2047,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -2441,7 +2465,10 @@
"icon": "AssemblyAI",
"key": "AssemblyAITranscriptionJobCreator",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "03525d13fcc0",
"module": "langflow.components.assemblyai.assemblyai_start_transcript.AssemblyAITranscriptionJobCreator"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json
View file

@ -147,7 +147,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -453,7 +456,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -791,7 +797,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -949,7 +958,10 @@
"key": "Memory",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "5ca89b168f3f",
"module": "langflow.components.helpers.memory.MemoryComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json
View file

@ -204,7 +204,10 @@
"icon": "AgentQL",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "ce845cc47ae8",
"module": "langflow.components.agentql.agentql_api.AgentQL"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -557,7 +560,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -896,7 +902,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1198,7 +1207,10 @@
"icon": "save",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f244023207e",
"module": "langflow.components.processing.save_file.SaveToFileComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

25
src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json
View file

@ -231,7 +231,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -544,7 +547,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1882,7 +1888,10 @@
"icon": "binary",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "93faf11517da",
"module": "langflow.components.models.embedding_model.EmbeddingModelComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2172,7 +2181,10 @@
"icon": "FAISS",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "ed38680af3a6",
"module": "langflow.components.vectorstores.faiss.FaissVectorStoreComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2505,7 +2517,10 @@
"key": "MCPTools",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "d134bdfe1fc3",
"module": "langflow.components.agents.mcp_component.MCPToolsComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json
View file

@ -111,7 +111,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -425,7 +428,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -824,7 +830,10 @@
"icon": "Globe",
"key": "APIRequest",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "a648ad26f226",
"module": "langflow.components.data.api_request.APIRequestComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json
View file

@ -191,7 +191,10 @@
"key": "TextInput",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -307,7 +310,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -759,7 +765,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "ad2a6f4552c0",
"module": "langflow.components.processing.structured_output.StructuredOutputComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json
View file

@ -136,7 +136,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.3.2",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -449,7 +452,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.3.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -760,7 +766,10 @@
"icon": "TavilyIcon",
"legacy": false,
"lf_version": "1.3.2",
"metadata": {},
"metadata": {
"code_hash": "6843645056d9",
"module": "langflow.components.tavily.tavily_search.TavilySearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1158,7 +1167,10 @@
"icon": "AgentQL",
"legacy": false,
"lf_version": "1.3.2",
"metadata": {},
"metadata": {
"code_hash": "ce845cc47ae8",
"module": "langflow.components.agentql.agentql_api.AgentQL"
},
"minimized": false,
"output_types": [],
"outputs": [

35
src/backend/base/langflow/initial_setup/starter_projects/Research Agent.json
View file

@ -315,7 +315,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -473,7 +476,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -768,7 +774,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -980,7 +989,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -1109,7 +1121,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -1242,7 +1257,10 @@
"icon": "TavilyIcon",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6843645056d9",
"module": "langflow.components.tavily.tavily_search.TavilySearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1640,7 +1658,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [

30
src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json
View file

@ -227,7 +227,10 @@
"icon": "arXiv",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "b61405ff011f",
"module": "langflow.components.arxiv.arxiv.ArXivComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -385,7 +388,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -693,7 +699,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1027,7 +1036,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "556209520650",
"module": "langflow.components.processing.parser.ParserComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1199,7 +1211,10 @@
"icon": "infinity",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "5b234f78c942",
"module": "langflow.components.logic.loop.LoopComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1609,7 +1624,10 @@
"icon": "repeat",
"key": "TypeConverterComponent",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "38e56a852063",
"module": "langflow.components.processing.converter.TypeConverterComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/SEO Keyword Generator.json
View file

@ -118,7 +118,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -420,7 +423,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -555,7 +561,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{

15
src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json
View file

@ -115,7 +115,10 @@
"icon": "braces",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"output_types": [],
"outputs": [
{
@ -366,7 +369,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -708,7 +714,10 @@
"key": "CalculatorComponent",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "3139fe9e04a5",
"module": "langflow.components.helpers.calculator_core.CalculatorComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/Search agent.json
View file

@ -102,7 +102,10 @@
"icon": "ScrapeGraph",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "cdea312e9de9",
"module": "langflow.components.scrapegraph.scrapegraph_search_api.ScrapeGraphSearchApi"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -273,7 +276,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -584,7 +590,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.5",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [

40
src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json
View file

@ -1447,7 +1447,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -1582,7 +1585,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -1720,7 +1726,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -1900,7 +1909,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -2787,7 +2799,10 @@
"frozen": false,
"icon": "trending-up",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "e17c98e16912",
"module": "langflow.components.yahoosearch.yahoo.YfinanceComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2998,7 +3013,10 @@
"icon": "calculator",
"key": "CalculatorComponent",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "3139fe9e04a5",
"module": "langflow.components.helpers.calculator_core.CalculatorComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -3152,7 +3170,10 @@
"frozen": false,
"icon": "TavilyIcon",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6843645056d9",
"module": "langflow.components.tavily.tavily_search.TavilySearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -3549,7 +3570,10 @@
"icon": "MessagesSquare",
"key": "ChatOutput",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json
View file

@ -190,7 +190,10 @@
"key": "CalculatorComponent",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "3139fe9e04a5",
"module": "langflow.components.helpers.calculator_core.CalculatorComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -345,7 +348,10 @@
"icon": "MessagesSquare",
"key": "ChatInput",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -660,7 +666,10 @@
"icon": "MessagesSquare",
"key": "ChatOutput",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1515,7 +1524,10 @@
"icon": "layout-template",
"key": "URLComponent",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "a81817a7f244",
"module": "langflow.components.data.url.URLComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Social Media Agent.json
View file

@ -143,7 +143,10 @@
"icon": "Apify",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "233d7ef687d5",
"module": "langflow.components.apify.apify_actor.ApifyActorsComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -346,7 +349,10 @@
"icon": "Apify",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "233d7ef687d5",
"module": "langflow.components.apify.apify_actor.ApifyActorsComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -636,7 +642,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -948,7 +957,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.4.2",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [

15
src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json
View file

@ -712,7 +712,10 @@
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1020,7 +1023,10 @@
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -2294,7 +2300,10 @@
"frozen": false,
"icon": "file-text",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "0c57c835f136",
"module": "langflow.components.data.file.FileComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

20
src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json
View file

@ -227,7 +227,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -525,7 +528,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -1269,7 +1275,10 @@
"key": "CalculatorComponent",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "3139fe9e04a5",
"module": "langflow.components.helpers.calculator_core.CalculatorComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1424,7 +1433,10 @@
"icon": "SearchAPI",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "727befdc79e7",
"module": "langflow.components.searchapi.search.SearchComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

45
src/backend/base/langflow/initial_setup/starter_projects/Twitter Thread Generator.json
View file

@ -282,7 +282,10 @@
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -591,7 +594,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -706,7 +712,10 @@
"frozen": false,
"icon": "MessagesSquare",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1012,7 +1021,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -1117,7 +1129,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -1222,7 +1237,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -1327,7 +1345,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -1432,7 +1453,10 @@
"icon": "type",
"legacy": false,
"lf_version": "1.0.19.post2",
"metadata": {},
"metadata": {
"code_hash": "efdcba3771af",
"module": "langflow.components.input_output.text.TextInputComponent"
},
"output_types": [],
"outputs": [
{
@ -1585,7 +1609,10 @@
"frozen": false,
"icon": "braces",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"minimized": false,
"output_types": [],
"outputs": [

42
src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json
View file

@ -319,7 +319,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"output_types": [],
"outputs": [
{
@ -612,7 +615,10 @@
"is_output": null,
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "3bf0b511e227",
"module": "langflow.components.prompts.prompt.PromptComponent"
},
"name": "",
"output_types": [],
"outputs": [
@ -787,7 +793,10 @@
"icon": "scissors-line-dashed",
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "dbf2e9d2319d",
"module": "langflow.components.processing.split_text.SplitTextComponent"
},
"output_types": [],
"outputs": [
{
@ -1073,7 +1082,10 @@
"icon": "MessagesSquare",
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"output_types": [],
"outputs": [
{
@ -1387,7 +1399,10 @@
"icon": "OpenAI",
"legacy": false,
"lf_version": "1.2.0",
"metadata": {},
"metadata": {
"code_hash": "2691dee277c9",
"module": "langflow.components.openai.openai.OpenAIEmbeddingsComponent"
},
"output_types": [],
"outputs": [
{
@ -1920,7 +1935,10 @@
"icon": "OpenAI",
"legacy": false,
"lf_version": "1.1.1",
"metadata": {},
"metadata": {
"code_hash": "2691dee277c9",
"module": "langflow.components.openai.openai.OpenAIEmbeddingsComponent"
},
"output_types": [],
"outputs": [
{
@ -2690,7 +2708,10 @@
"frozen": false,
"icon": "AstraDB",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "38a337e89ff4",
"module": "langflow.components.vectorstores.astradb.AstraDBVectorStoreComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -3463,7 +3484,10 @@
"frozen": false,
"icon": "AstraDB",
"legacy": false,
"metadata": {},
"metadata": {
"code_hash": "38a337e89ff4",
"module": "langflow.components.vectorstores.astradb.AstraDBVectorStoreComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -4786,4 +4810,4 @@
"rag",
"q-a"
]
}
}

25
src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json
View file

@ -284,7 +284,10 @@
"key": "BatchRunComponent",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "86f4b70ee039",
"module": "langflow.components.processing.batch_run.BatchRunComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -499,7 +502,10 @@
"key": "YouTubeCommentsComponent",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "aeda2975f4aa",
"module": "langflow.components.youtube.comments.YouTubeCommentsComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -1432,7 +1438,10 @@
"key": "ChatOutput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "6f74e04e39d5",
"module": "langflow.components.input_output.chat_output.ChatOutput"
},
"minimized": true,
"output_types": [],
"outputs": [
@ -1740,7 +1749,10 @@
"last_updated": "2025-07-07T14:52:15.000Z",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "c9f0262ff0b6",
"module": "langflow.components.youtube.youtube_transcripts.YouTubeTranscriptsComponent"
},
"minimized": false,
"output_types": [],
"outputs": [
@ -2487,7 +2499,10 @@
"key": "ChatInput",
"legacy": false,
"lf_version": "1.4.3",
"metadata": {},
"metadata": {
"code_hash": "192913db3453",
"module": "langflow.components.input_output.chat.ChatInput"
},
"minimized": true,
"output_types": [],
"outputs": [

48
src/backend/base/langflow/interface/components.py
View file

@ -9,7 +9,7 @@ from typing import TYPE_CHECKING, Any
from loguru import logger
from langflow.custom.utils import abuild_custom_components, create_component_template
from langflow.custom.utils import abuild_custom_components, create_component_template, get_all_types_dict
from langflow.services.settings.base import BASE_COMPONENTS_PATH
if TYPE_CHECKING:
@ -133,7 +133,11 @@ def _process_single_module(modname: str) -> tuple[str, dict] | None:
try:
comp_instance = obj()
comp_template, _ = create_component_template(component_extractor=comp_instance)
# modname is the full module name without the name of the obj
full_module_name = f"{modname}.{name}"
comp_template, _ = create_component_template(
component_extractor=comp_instance, module_name=full_module_name
)
component_name = obj.name if hasattr(obj, "name") and obj.name else name
module_components[component_name] = comp_template
except Exception as e: # noqa: BLE001
@ -149,6 +153,29 @@ def _process_single_module(modname: str) -> tuple[str, dict] | None:
return (top_level, module_components)
async def _determine_loading_strategy(settings_service: SettingsService) -> dict:
"""Determines and executes the appropriate component loading strategy.
Args:
settings_service: Service providing access to application settings
Returns:
Dictionary containing loaded component types and templates
"""
if settings_service.settings.lazy_load_components:
# Partial loading mode - just load component metadata
logger.debug("Using partial component loading")
return await aget_component_metadata(settings_service.settings.components_path)
if (
settings_service.settings.components_path
and BASE_COMPONENTS_PATH not in settings_service.settings.components_path
):
# Traditional full loading
return await get_all_types_dict(settings_service.settings.components_path)
# No custom components to load
return {}
async def get_and_cache_all_types_dict(
settings_service: SettingsService,
):
@ -163,28 +190,17 @@ async def get_and_cache_all_types_dict(
logger.debug("Building components cache")
langflow_components = await import_langflow_components()
component_cache.all_types_dict = {}
if settings_service.settings.lazy_load_components:
# Partial loading mode - just load component metadata
logger.debug("Using partial component loading")
component_cache.all_types_dict = await aget_component_metadata(settings_service.settings.components_path)
elif (
settings_service.settings.components_path
and BASE_COMPONENTS_PATH not in settings_service.settings.components_path
):
# Traditional full loading
component_cache.all_types_dict = await aget_all_types_dict(settings_service.settings.components_path)
custom_components_dict = await _determine_loading_strategy(settings_service)
# Log custom component loading stats
components_dict = component_cache.all_types_dict or {}
component_count = sum(len(comps) for comps in components_dict.get("components", {}).values())
component_count = sum(len(comps) for comps in custom_components_dict.values())
if component_count > 0 and settings_service.settings.components_path:
logger.debug(f"Built {component_count} custom components from {settings_service.settings.components_path}")
# merge the dicts
component_cache.all_types_dict = {
**langflow_components["components"],
**components_dict,
**custom_components_dict,
}
component_count = sum(len(comps) for comps in component_cache.all_types_dict.values())
logger.debug(f"Loaded {component_count} components")

142
src/backend/tests/unit/custom/test_utils_metadata.py Normal file
View file

@ -0,0 +1,142 @@
"""Test metadata functionality in custom utils."""
from unittest.mock import Mock, patch
import pytest
from langflow.custom.utils import _generate_code_hash
class TestCodeHashGeneration:
"""Test the _generate_code_hash function."""
def test_hash_generation_basic(self):
"""Test basic hash generation."""
source = "def test(): pass"
modname = "test_module"
class_name = "TestClass"
result = _generate_code_hash(source, modname, class_name)
assert isinstance(result, str)
assert len(result) == 12
assert all(c in "0123456789abcdef" for c in result)
def test_hash_empty_source_raises(self):
"""Test that empty source raises ValueError."""
with pytest.raises(ValueError, match="Empty source code"):
_generate_code_hash("", "mod", "cls")
def test_hash_none_source_raises(self):
"""Test that None source raises ValueError."""
with pytest.raises(ValueError, match="Empty source code"):
_generate_code_hash(None, "mod", "cls")
def test_hash_consistency(self):
"""Test that same code produces same hash."""
source = "class A: pass"
hash1 = _generate_code_hash(source, "mod", "A")
hash2 = _generate_code_hash(source, "mod", "A")
assert hash1 == hash2
def test_hash_different_code(self):
"""Test that different code produces different hash."""
hash1 = _generate_code_hash("class A: pass", "mod", "A")
hash2 = _generate_code_hash("class B: pass", "mod", "B")
assert hash1 != hash2
class TestMetadataInTemplateBuilders:
"""Test metadata addition in template building functions."""
@patch("langflow.custom.utils.ComponentFrontendNode")
def test_build_from_inputs_adds_metadata_with_module(self, mock_frontend_class):
"""Test that build_custom_component_template_from_inputs adds metadata when module_name is provided."""
from langflow.custom.custom_component.component import Component
from langflow.custom.utils import build_custom_component_template_from_inputs
# Setup mock frontend node
mock_frontend = Mock()
mock_frontend.metadata = {}
mock_frontend.outputs = []
mock_frontend.to_dict = Mock(return_value={"test": "data"})
mock_frontend.validate_component = Mock()
mock_frontend.set_base_classes_from_outputs = Mock()
mock_frontend_class.from_inputs.return_value = mock_frontend
# Create test component
test_component = Mock(spec=Component)
test_component.__class__.__name__ = "TestComponent"
test_component._code = "class TestComponent: pass"
test_component.template_config = {"inputs": []}
# Mock get_component_instance to return a mock instance
with patch("langflow.custom.utils.get_component_instance") as mock_get_instance:
mock_instance = Mock()
mock_instance.get_template_config = Mock(return_value={})
mock_instance._get_field_order = Mock(return_value=[])
mock_get_instance.return_value = mock_instance
# Mock add_code_field to return the frontend node
with (
patch("langflow.custom.utils.add_code_field", return_value=mock_frontend),
patch("langflow.custom.utils.reorder_fields"),
):
# Call the function
template, _ = build_custom_component_template_from_inputs(test_component, module_name="test.module")
# Verify metadata was added
assert "module" in mock_frontend.metadata
assert mock_frontend.metadata["module"] == "test.module"
assert "code_hash" in mock_frontend.metadata
assert len(mock_frontend.metadata["code_hash"]) == 12
@patch("langflow.custom.utils.CustomComponentFrontendNode")
def test_build_template_adds_metadata_with_module(self, mock_frontend_class):
"""Test that build_custom_component_template adds metadata when module_name is provided."""
from langflow.custom.custom_component.custom_component import CustomComponent
from langflow.custom.utils import build_custom_component_template
# Setup mock frontend node
mock_frontend = Mock()
mock_frontend.metadata = {}
mock_frontend.to_dict = Mock(return_value={"test": "data"})
mock_frontend_class.return_value = mock_frontend
# Create test component
test_component = Mock(spec=CustomComponent)
test_component.__class__.__name__ = "CustomTestComponent"
test_component._code = "class CustomTestComponent: pass"
test_component.template_config = {"display_name": "Test"}
test_component.get_function_entrypoint_args = []
test_component._get_function_entrypoint_return_type = []
# Mock helper functions
with patch("langflow.custom.utils.run_build_config") as mock_run_build:
mock_instance = Mock()
mock_instance._get_field_order = Mock(return_value=[])
mock_run_build.return_value = ({}, mock_instance)
with (
patch("langflow.custom.utils.add_extra_fields"),
patch("langflow.custom.utils.add_code_field", return_value=mock_frontend),
patch("langflow.custom.utils.add_base_classes"),
patch("langflow.custom.utils.add_output_types"),
patch("langflow.custom.utils.reorder_fields"),
):
# Call the function
template, _ = build_custom_component_template(test_component, module_name="custom.test")
# Verify metadata was added
assert "module" in mock_frontend.metadata
assert mock_frontend.metadata["module"] == "custom.test"
assert "code_hash" in mock_frontend.metadata
assert len(mock_frontend.metadata["code_hash"]) == 12
def test_hash_generation_unicode(self):
"""Test hash generation with unicode characters."""
source = "# Test with unicode: 你好 🌟\nclass Component: pass"
result = _generate_code_hash(source, "unicode_mod", "Component")
assert isinstance(result, str)
assert len(result) == 12
assert all(c in "0123456789abcdef" for c in result)

59
src/backend/tests/unit/test_code_hash.py Normal file
View file

@ -0,0 +1,59 @@
"""Test code hash and module metadata functionality."""
import pytest
from langflow.interface.components import import_langflow_components
@pytest.mark.asyncio
async def test_component_metadata_has_code_hash():
"""Test that built-in components have valid module and code_hash metadata."""
result = await import_langflow_components()
assert result is not None
assert "components" in result
assert len(result["components"]) > 0
# Find first component to test
sample_category = None
sample_component = None
for category, components in result["components"].items():
if components:
sample_category = category
sample_component = next(iter(components.values()))
break
assert sample_component is not None, "No components found to test"
# Test metadata presence - metadata should be in the 'metadata' sub-field
assert "metadata" in sample_component, f"Metadata field missing from component in {sample_category}"
metadata = sample_component["metadata"]
assert "module" in metadata, f"Module metadata missing from component in {sample_category}"
assert "code_hash" in metadata, f"Code hash metadata missing from component in {sample_category}"
# Test that values are valid
module_name = metadata["module"]
code_hash = metadata["code_hash"]
assert isinstance(module_name, str), f"Invalid module name type: {type(module_name)}"
assert module_name, f"Invalid module name: {module_name}"
assert isinstance(code_hash, str), f"Invalid code hash type: {type(code_hash)}"
assert len(code_hash) == 12, f"Invalid code hash: {code_hash} (should be 12 chars)"
@pytest.mark.asyncio
async def test_code_hash_uniqueness():
"""Test that different built-in components have different code hashes."""
result = await import_langflow_components()
all_hashes = []
for components in result["components"].values():
for comp in components.values():
metadata = comp.get("metadata", {})
if metadata.get("code_hash"):
all_hashes.append(metadata["code_hash"])
# Check that we have some components with metadata
assert len(all_hashes) > 0, "No components with code hashes found"
# Check that we have reasonable uniqueness in hashes
unique_hashes = len(set(all_hashes))
total_hashes = len(all_hashes)
uniqueness_ratio = unique_hashes / total_hashes
# Should have high uniqueness (most components have different code)
assert uniqueness_ratio > 0.95, f"Hash uniqueness too low: {uniqueness_ratio:.1%}"