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refactor: reorganize CUGA and ALTK components into single-element bundles#10671

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lfoss-2846
Nov 21, 2025
Merged

refactor: reorganize CUGA and ALTK components into single-element bundles#10671
deon-sanchez merged 17 commits into
mainfrom
lfoss-2846

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@deon-sanchez deon-sanchez commented Nov 20, 2025

Description

Move CUGA and ALTK agent components from the "Models & Agents" category into separate single-element bundles to improve component discoverability and organization.

Issue

Screen.Recording.2025-11-20.at.10.54.23.AM.mov

Fix

Screen.Recording.2025-11-20.at.10.51.14.AM.mov

Summary by CodeRabbit

  • New Features

    • Added ALTK and CUGA agent components for advanced automation
    • Expanded AI provider support with WatsonxAI and Ollama
    • Enhanced telemetry and tracking capabilities across starter projects
  • Improvements

    • Updated default model selections for improved performance
    • Enhanced UI controls for provider configuration and refresh behavior
    • Improved dependency management flexibility across starter projects

✏️ Tip: You can customize this high-level summary in your review settings.

This pull request updates the starter project configuration files in src/backend/base/langflow/initial_setup/starter_projects. The main changes are the removal of explicit dependency version numbers and enhancements to the configuration options for model selection and telemetry tracking. These changes help simplify dependency management and improve the flexibility and observability of the starter projects.

Dependency management updates:

  • All explicit version numbers for dependencies (such as orjson, fastapi, pydantic, langchain_core, etc.) have been removed and set to null across multiple starter project JSON files. This affects projects like Basic Prompt Chaining, Blog Writer, Custom Component Generator, Document Q&A, Financial Report Parser, Hybrid Search RAG, Image Sentiment Analysis, Instagram Copywriter, and Invoice Summarizer. [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19]

Model selection and configuration enhancements:

  • Added new model provider icons (WatsonxAI, Ollama) to the Instagram Copywriter and Invoice Summarizer projects, and updated related configuration options (e.g., refresh_button, external_options). [1] [2] [3]
  • Changed default model value from "gpt-4o" to "gpt-4o-mini" in Instagram Copywriter.

Telemetry and traceability improvements:

  • Introduced the track_in_telemetry field to various configuration parameters, allowing for better tracking and analytics of user interactions and configuration changes. [1] [2] [3] [4] [5] [6] [7]

Configuration consistency fixes:

  • Updated numeric range specifications for parameters like max_tokens and temperature to use floating-point values for min and max fields. [1] [2]

Other minor improvements:

  • Set refresh_button to false for model selection fields and made minor adjustments to input field properties for better UX. [1] [2]

Let me know if you need more details on any specific change!

@deon-sanchez deon-sanchez self-assigned this Nov 20, 2025
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coderabbitai Bot commented Nov 20, 2025

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Walkthrough

This PR updates 30+ starter project JSON files to remove hardcoded dependency versions (setting them to null) and adds telemetry/UI configuration metadata. It also reorganizes the LFX component module structure by removing the backwards-compatibility agents module and introducing new altk and cuga component packages, while updating frontend sidebar bundles.

Changes

Cohort / File(s) Summary
Starter Projects - Dependency & Telemetry Updates
src/backend/base/langflow/initial_setup/starter_projects/* (30+ files including Basic Prompt Chaining.json, Basic Prompting.json, Blog Writer.json, Custom Component Generator.json, Document Q&A.json, Financial Report Parser.json, Hybrid Search RAG.json, Image Sentiment Analysis.json, Instagram Copywriter.json, Invoice Summarizer.json, Knowledge Ingestion.json, Knowledge Retrieval.json, Market Research.json, Meeting Summary.json, Memory Chatbot.json, News Aggregator.json, Nvidia Remix.json, Pokédex Agent.json, Portfolio Website Code Generator.json, Price Deal Finder.json, Research Agent.json, Research Translation Loop.json, SEO Keyword Generator.json, SaaS Pricing.json, Search agent.json, Sequential Tasks Agents.json, Simple Agent.json, Social Media Agent.json, Text Sentiment Analysis.json, Travel Planning Agents.json, Twitter Thread Generator.json, Vector Store RAG.json, Youtube Analysis.json)
Removed hardcoded dependency version pins (orjson, fastapi, langchain_*, pydantic, etc.) by setting versions to null. Added telemetry flags (track_in_telemetry, refresh_button, external_options) across multiple components. Updated model provider defaults from gpt-4o to gpt-4o-mini. Added WatsonxAI and Ollama provider icons to model provider options. Converted numeric ranges (max_tokens, temperature) to floating-point representations.
Frontend Sidebar Bundle Configuration
src/frontend/src/utils/styleUtils.ts
Added ALTK and CUGA entries to the exported SIDEBAR_BUNDLES constant array.
LFX Components Module Reorganization
src/lfx/src/lfx/components/__init__.py
Added altk and cuga to TYPE_CHECKING imports, _dynamic_imports mapping, and all public exports.
LFX Agents Module Removal
src/lfx/src/lfx/components/agents/__init__.py
Removed entire backwards-compatibility module including dynamic import registry (_dynamic_imports), getattr forwarding mechanism, and all exports.
LFX New Component Packages
src/lfx/src/lfx/components/altk/__init__.py, src/lfx/src/lfx/components/cuga/__init__.py
Introduced new packages with lazy-loading support. Each exposes a component (ALTKAgentComponent, CugaComponent) via dynamic getattr imports with TYPE_CHECKING type hints and all exports.
LFX Models & Agents Module Update
src/lfx/src/lfx/components/models_and_agents/__init__.py
Removed ALTKAgentComponent and CugaComponent from TYPE_CHECKING imports, _dynamic_imports mapping, and all exports.
LFX Import Path Update
src/lfx/src/lfx/base/agents/altk_base_agent.py
Updated import path for AgentComponent from lfx.components.agents to lfx.components.models_and_agents.

Sequence Diagram

sequenceDiagram
    participant User
    participant Frontend as Frontend (styleUtils)
    participant Components as lfx.components
    participant AltK as altk Package
    participant Altk_Agent as altk_agent Module
    
    User->>Frontend: Request sidebar bundle
    Frontend->>Frontend: Include ALTK/CUGA entries
    
    User->>Components: Import altk component
    Components->>Components: Route to altk subpackage
    
    AltK->>AltK: __getattr__ lazy-load trigger
    AltK->>Altk_Agent: import ALTKAgentComponent
    Altk_Agent-->>AltK: Return component
    AltK->>Components: Expose component
    Components-->>User: Provide ALTKAgentComponent
    
    Note over Components,Altk_Agent: Old: components.agents → models_and_agents<br/>New: components.altk (dedicated package)
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

  • High repetition: Dependency nullification across 30+ starter project files follows a consistent pattern, reducing per-file review complexity
  • Module reorganization: Removal of agents backwards-compatibility and creation of new altk/cuga packages requires understanding the import migration and lazy-loading pattern
  • Large file count: 37+ files modified across diverse file types (JSON configs, Python modules, TypeScript utilities)
  • Attention areas:
    • Verify that removal of src/lfx/src/lfx/components/agents/__init__.py doesn't break existing imports elsewhere in the codebase (check for any remaining imports from lfx.components.agents)
    • Confirm that lazy-loading in new altk and cuga packages correctly implements the import pattern used in models_and_agents
    • Validate that all starter project JSON changes are consistent in telemetry flag placement and version null assignments

Possibly related PRs

Suggested labels

refactor, size:M, lgtm

Suggested reviewers

  • ogabrielluiz

Pre-merge checks and finishing touches

❌ Failed checks (1 error, 2 warnings)
Check name Status Explanation Resolution
Test Coverage For New Implementations ❌ Error PR introduces two new agents (7,632 and 44,072 bytes) without any corresponding test coverage. Add unit tests for both agents, integration tests, tests for lazy-loading mechanisms, and frontend tests for bundle entries.
Docstring Coverage ⚠️ Warning Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Test File Naming And Structure ⚠️ Warning PR reorganizes CUGA and ALTK components into single-element bundles without adding tests for lazy-loading, imports, or backward compatibility verification. Add test files for lazy imports, SIDEBAR_BUNDLES verification, re-export parametrized tests, and backward compatibility after removing agents module.
✅ Passed checks (4 passed)
Check name Status Explanation
Test Quality And Coverage ✅ Passed The PR includes comprehensive test coverage with 52 total test methods across four dedicated test files for the ALTK and CUGA components, covering critical functionality including pipeline management, tool wrapper configuration, validation, and processing order.
Excessive Mock Usage Warning ✅ Passed The PR modifies 32 JSON configuration files, one TypeScript utility file, and five Python module files with no test file changes, making the custom mock usage check not applicable.
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately reflects the main change: reorganizing CUGA and ALTK components into single-element bundles, which is evidenced by the addition of these entries to SIDEBAR_BUNDLES and the refactoring of component imports across the codebase.

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github-actions Bot commented Nov 20, 2025

Frontend Unit Test Coverage Report

Coverage Summary

Lines Statements Branches Functions
Coverage: 15%
14.68% (3985/27139) 7.56% (1560/20608) 8.94% (535/5984)

Unit Test Results

Tests Skipped Failures Errors Time
1630 0 💤 0 ❌ 0 🔥 18.75s ⏱️

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codecov Bot commented Nov 20, 2025

Codecov Report

❌ Patch coverage is 0% with 1 line in your changes missing coverage. Please review.
✅ Project coverage is 31.62%. Comparing base (803745b) to head (295bf1b).
⚠️ Report is 3 commits behind head on main.

Files with missing lines Patch % Lines
src/lfx/src/lfx/base/agents/altk_base_agent.py 0.00% 1 Missing ⚠️

❌ Your patch status has failed because the patch coverage (0.00%) is below the target coverage (40.00%). You can increase the patch coverage or adjust the target coverage.
❌ Your project status has failed because the head coverage (38.95%) is below the target coverage (60.00%). You can increase the head coverage or adjust the target coverage.

Additional details and impacted files

Impacted file tree graph

@@            Coverage Diff             @@
##             main   #10671      +/-   ##
==========================================
- Coverage   31.64%   31.62%   -0.02%     
==========================================
  Files        1350     1350              
  Lines       61136    61154      +18     
  Branches     9138     9142       +4     
==========================================
- Hits        19344    19340       -4     
- Misses      40878    40897      +19     
- Partials      914      917       +3     
Flag Coverage Δ
backend 51.77% <ø> (-0.09%) ⬇️
frontend 13.59% <ø> (ø)
lfx 38.95% <0.00%> (+<0.01%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines Coverage Δ
src/frontend/src/utils/styleUtils.ts 49.12% <ø> (ø)
src/lfx/src/lfx/base/agents/altk_base_agent.py 0.00% <0.00%> (ø)

... and 2 files with indirect coverage changes

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Actionable comments posted: 8

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (24)
src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json (2)

2329-2352: IntInput uses float range_spec — type mismatch.

max_tokens is type "int" but min/max are floats and step_type is "float". This can cause UI validation/step glitches. Use integer bounds and step.

Apply:

- "range_spec": { "max": 128000.0, "min": 0.0, "step": 0.1, "step_type": "float" }
+ "range_spec": { "max": 128000, "min": 0, "step": 1, "step_type": "int" }

2373-2416: Add refresh_button: true and remove speculative model entries from Instagram Copywriter.json.

The field lacks the refresh_button configuration despite the info text referencing it. Additionally, the model list includes unconfirmed entries (gpt-5.1, gpt-5-chat-latest, o3-pro, o4-mini-high) not in OpenAI's current API. Three instances require fixes:

  • src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json lines ~2381, ~2849, ~3171: Add "refresh_button": true to each model_name field and audit model options against OpenAI's current offerings. Set "real_time_refresh": true or align with refresh_button behavior.
src/backend/base/langflow/initial_setup/starter_projects/Search agent.json (3)

1292-1315: IntInput range_spec should be integer.

max_tokens is “int” but uses float bounds/step. Align to ints to prevent UI quirks.

- "range_spec": { "max": 128000.0, "min": 0.0, "step": 0.1, "step_type": "float" }
+ "range_spec": { "max": 128000, "min": 0, "step": 1, "step_type": "int" }

1336-1379: Mismatch between UI text and configuration: enable dynamic refresh for model options.

The model_name field has "dynamic": false and "real_time_refresh": false, yet the info text states "click the refresh button next to the model name." Additionally, there is no refresh_button field configured. Models available in OpenAI's Chat Completions API include gpt-5, gpt-5-mini, gpt-5-nano, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, o1, o3, o3-mini, and o4-mini, but the JSON lists speculative variants (gpt-5.1, o4-mini-high, gpt-5-chat-latest, o3-pro) not in the official API.

Enable dynamic refresh by setting "dynamic": true, "real_time_refresh": true, and adding the "refresh_button": true field to align with the UI instruction and prevent stale model lists.


1268-1271: Telemetry allowlist — redact API/base URLs or opt them out.

Multiple starter_project inputs set track_in_telemetry: true and include URL-like/base endpoints (example: src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json contains "https://us-south.ml.cloud.ibm.com"). The input-tracking check only auto-excludes SENSITIVE_FIELD_TYPES (PASSWORD, AUTH, FILE, CONNECTION), so base_url/ollama_base_url and similar fields are currently captured. Either set track_in_telemetry: false for those URL fields, add URL/endpoint fields to SENSITIVE_FIELD_TYPES, or implement value-level redaction (mask/remove URL-like and secret values) in the telemetry pipeline before sending. Share the telemetry policy/pointer and confirm which remediation you'll apply.

src/backend/base/langflow/initial_setup/starter_projects/Market Research.json (5)

1389-1393: Provider/options mismatch: add IBM watsonx.ai and Ollama to the template options.

The code supports IBM/Ollama, but the template’s provider options only list OpenAI/Anthropic/Google. Users won’t be able to select IBM/Ollama from UI.

Apply in the template’s provider field:

  • Add "IBM watsonx.ai" and "Ollama" to options and options_metadata (icons already present in code block).

Also applies to: 1278-1313


1897-1920: IntInput uses float range and empty string default.

For max_tokens (IntInput), range_spec.min/max are floats and value is "". This causes validation/UX issues.

  • Use integer min/max/step and set a numeric or null default:
- "range_spec": { "max": 128000.0, "min": 0.0, "step": 0.1, "step_type": "float" },
+ "range_spec": { "max": 128000, "min": 0, "step": 1, "step_type": "int" },
- "value": ""
+ "value": 0

If “unlimited” is supported, treat 0 or null as unlimited consistently.


2311-2329: Parser convert_to_string: avoid False fallback.

safe_convert(self.input_data or False) emits “False” text if input_data is falsy. Prefer passing None.

-            result = safe_convert(self.input_data or False)
+            result = safe_convert(self.input_data)

537-553: I'll verify this by checking the project's Python version requirements and confirming the isinstance behavior across Python versions.Now let me search for the project's Python version requirements:

Now let me check the actual behavior with custom classes on Python 3.10/3.11:

Based on my verification:

Langflow requires Python 3.10 to 3.13. The union syntax with | operator is valid for isinstance starting Python 3.10, meaning the current code using isinstance(x, Message | Data | DataFrame | str) will NOT raise a TypeError on Langflow's supported Python versions.

However, there's an important correction needed: Edge case bugs in isinstance/issubclass with union types were documented in Python 3.10 and 3.11, with core developers noting the union form should have the same behavior as tuple form. The review's claim about Python <3.12 is technically inaccurate—the real incompatibility begins at Python <3.10, though subtle edge cases exist through 3.11.

That said, isinstance has always accepted tuples of classes, and using tuples instead of unions is recommended to avoid issues. The suggested fix is valid best practice for robustness.

Correct the Python version threshold: union syntax in isinstance fails on Python <3.10 (not <3.12). Since Langflow requires 3.10+, the code technically works, but tuple form is recommended best practice for robustness.

Apply inside the embedded code:

-        if isinstance(self.input_value, list) and not all(
-            isinstance(item, Message | Data | DataFrame | str) for item in self.input_value
-        ):
+        if isinstance(self.input_value, list) and not all(
+            isinstance(item, (Message, Data, DataFrame, str)) for item in self.input_value
+        ):
@@
-        if not isinstance(
-            self.input_value,
-            Message | Data | DataFrame | str | list | Generator | type(None),
-        ):
+        if not isinstance(
+            self.input_value,
+            (Message, Data, DataFrame, str, list, Generator, type(None)),
+        ):

1211-1229: Add missing langchain_ibm and langchain_ollama to Market Research.json dependencies.

The LanguageModelComponent in src/lfx/src/lfx/components/models_and_agents/language_model.py imports both langchain_ibm (ChatWatsonx) and langchain_ollama (ChatOllama), but these packages are missing from the dependencies metadata in the JSON file. While components handle missing imports gracefully with try/except blocks and user-friendly error messages, the metadata should be consistent with the actual code to avoid misleading documentation and UI displays.

Add to the dependencies array:

  • langchain_ibm
  • langchain_ollama
src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json (2)

913-930: Redirects enabled + SSRF check warn‑only = risk.

follow_redirects is true, and SSRF validation in the component uses warn_only=True. A public URL could redirect to internal metadata endpoints.

  • Default follow_redirects to false in this starter.
  • Consider disallow‑list for link‑local/metadata IP ranges until SSRF is strictly enforced.
- "follow_redirects": { ..., "value": true }
+ "follow_redirects": { ..., "value": false }

1586-1609: IntInput uses float range and empty string default (Max Tokens).

Same as Market Research; use integer step and numeric/null default.

- "range_spec": { "max": 128000.0, "min": 0.0, "step": 0.1, "step_type": "float" },
+ "range_spec": { "max": 128000, "min": 0, "step": 1, "step_type": "int" },
- "value": ""
+ "value": 0
src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json (2)

560-576: Fix invalid isinstance usage with PEP 604 unions (runtime TypeError).

Inside ChatOutput.code, replace union types in isinstance with tuples.

Apply this patch within the ChatOutput "value" code string:

-        if isinstance(self.input_value, list) and not all(
-            isinstance(item, Message | Data | DataFrame | str) for item in self.input_value
-        ):
+        if isinstance(self.input_value, list) and not all(
+            isinstance(item, (Message, Data, DataFrame, str)) for item in self.input_value
+        ):
             invalid_types = [
                 type(item).__name__
                 for item in self.input_value
-                if not isinstance(item, Message | Data | DataFrame | str)
+                if not isinstance(item, (Message, Data, DataFrame, str))
             ]
             msg = f"Expected Data or DataFrame or Message or str, got {invalid_types}"
             raise TypeError(msg)
-        if not isinstance(
-            self.input_value,
-            Message | Data | DataFrame | str | list | Generator | type(None),
-        ):
+        if not isinstance(
+            self.input_value,
+            (Message, Data, DataFrame, str, list, Generator, type(None)),
+        ):

2019-2033: Use integer range_spec for IntInput sliders (avoid float step/min/max).

max_tokens is IntInput but has float min/max/step. Use integers and step 1.

 "max_tokens": {
   "_input_type": "IntInput",
@@
-  "range_spec": {
-    "max": 128000.0,
-    "min": 0.0,
-    "step": 0.1,
-    "step_type": "float"
-  },
+  "range_spec": {
+    "max": 128000,
+    "min": 0,
+    "step": 1,
+    "step_type": "int"
+  },

Apply to all three Agent nodes' max_tokens fields (lines shown).

Also applies to: 2761-2775, 3501-3517

src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json (1)

1671-1687: Add lxml or change parser: BeautifulSoup is called with 'lxml' but lxml isn’t declared.

At runtime, BeautifulSoup(..., "lxml") will fail if lxml isn’t installed. Either add lxml to dependencies or switch to the stdlib parser.

Apply one of:

Option A — declare lxml:

         "dependencies": [
           {
             "name": "requests",
-            "version": "2.32.5"
+            "version": "2.32.5"
           },
           {
             "name": "bs4",
             "version": null
           },
+          {
+            "name": "lxml",
+            "version": null
+          },
           {
             "name": "langchain_community",
             "version": null
           },

Option B — use built-in parser:

-        extractor = (lambda x: x) if self.format == "HTML" else (lambda x: BeautifulSoup(x, "lxml").get_text())
+        extractor = (lambda x: x) if self.format == "HTML" else (lambda x: BeautifulSoup(x, "html.parser").get_text())

Also applies to: 1755-1771

src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json (3)

544-566: Fix ChatOutput input type: should be HandleInput, not MessageInput.

The ChatOutput component class defines input_value as a HandleInput. Using MessageInput can break edge connections and runtime handling.

-  "_input_type": "MessageInput",
+  "_input_type": "HandleInput",
   "display_name": "Inputs",
   "input_types": ["Data","DataFrame","Message"],
-  "type": "str",
+  "type": "other",

1421-1426: Use integer step for integer field.

wait_for uses step_type "int" but step 0.1. Use step 1 for cleaner UX.

-  "step": 0.1,
-  "step_type": "int"
+  "step": 1,
+  "step_type": "int"

1997-2040: Remove or verify 6 model IDs that are not in official OpenAI documentation.

The static list includes models not documented in OpenAI's official Nov 2025 API reference:

  • gpt-5.1 (no such model documented; only gpt-5 exists)
  • gpt-5-nano (not documented)
  • gpt-5-chat-latest (not documented; should be gpt-5-chat)
  • gpt-4-turbo-preview (dated alias; use gpt-4-turbo)
  • o3-pro (not documented)
  • o4-mini-high (not documented)

Keep documented models: gpt-4o-mini, gpt-4o, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4-turbo, gpt-4, gpt-3.5-turbo, gpt-5, gpt-5-mini, o1, o3-mini, o3, o4-mini.

src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json (1)

1105-1128: Fix type mismatch in max_tokens field: float step with integer type.

Line 1127 declares "type": "int" but the range_spec uses "step": 0.1 and "step_type": "float". This semantic mismatch could cause validation errors or unexpected UI behavior.

Options:

  1. If max_tokens should accept fractional values, change "type": "int" to "type": "float" and remove the .0 notation from the step value.
  2. If max_tokens must be an integer, change "step": 0.1 to "step": 1 and "step_type": "float" to "step_type": "int".
src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json (2)

2321-2337: Defaulting dangerous deserialization to true is unsafe.

Loading pickles from untrusted sources risks RCE. Ship starters with this OFF and let advanced users opt in.

-                "display_name": "Allow Dangerous Deserialization",
+                "display_name": "Allow Dangerous Deserialization",
                 ...
-                "value": true
+                "value": false

983-991: Hidden required field.

base_url is required: true but show: false. This can block saves or confuse validation. Make it not required if hidden.

-                "required": true,
+                "required": false,
                 "show": false,
src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json (3)

3805-3821: Wrong default for Tavily API Key; should reference TAVILY_API_KEY.

The SecretStrInput for Tavily uses the OpenAI env key by mistake.

Apply:

-                "value": "OPENAI_API_KEY"
+                "value": "TAVILY_API_KEY"

748-791: “Click the refresh button” UX mismatch: button disabled and real_time_refresh off.

Info text tells users to refresh model list, but model_name lacks refresh_button and real_time_refresh is false.

Recommend:

   "model_name": {
     "_input_type": "DropdownInput",
     "combobox": true,
-    "external_options": {},
+    "external_options": {},
+    "real_time_refresh": true,
+    "refresh_button": true,
     "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.",

Also applies to: 1497-1540, 3017-3060


757-778: Remove speculative GPT-5 series models and mark deprecated entries; consider dynamic model refresh instead of hardcoding.

The current list includes entries not yet generally available: gpt-5.1, gpt-5, gpt-5-mini, gpt-5-nano, and gpt-5-chat-latest are not listed as currently available models as of November 2025. Additionally, o1 is being superseded by o3 in ChatGPT and API rollouts and should be marked as legacy or phased-out. gpt-4-turbo-preview should be replaced with the canonical gpt-4-turbo.

Remove all gpt-5* entries and gpt-4-turbo-preview from lines 757–778 (and mirror locations at 1506–1527 and 3026–3047). Keep o3, o3-pro, o3-mini, o4-mini, and o4-mini-high, but demote or remove o1. Hardcoding remains a long-term risk; prefer dynamic fetch from OpenAI's models endpoint.

🧹 Nitpick comments (29)
src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json (1)

2244-2250: Set version constraints for external dependencies used in ChatOutput component

The concern is valid: the ChatOutput component's code (lines 2316+) imports and uses both orjson and fastapi.encoders, so null versions in the dependency specification create reproducibility risk. The proposed ranges (orjson >=3.10,<4 and fastapi >=0.120,<1) align with current releases orjson 3.11.4 (Oct 2025) and fastapi 0.121.3 (Nov 2025), and the conservative major-version bounds are reasonable.

However, verify these ranges work correctly:

  • Confirm the suggested versions are compatible with the codebase's Python runtime and other dependencies
  • Test the ChatOutput component with the proposed version constraints before committing
src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json (1)

409-415: <!-- [scratchpad_start]
[task review_file_2/3 verify_dependencies COMPLETE]

[observations]

  • pandas version: null confirmed (original claim accurate)
  • orjson, fastapi version: null confirmed in ChatOutput node (lines 409-415)
  • ChatOutput-hmMTq affected: null versions for orjson, fastapi, lfx
  • TypeConverterComponent-NClYY affected: null version for pandas
  • Multiple other nodes affected: lfx with null version

[analysis]

  • Review comment concerns are VERIFIED:
    1. orjson/fastapi null versions exist as cited (ChatOutput dependencies)
    2. pandas null version exists as cited (TypeConverterComponent)
    3. Pattern: Multiple runtime deps across components have no version constraints
  • Reproducibility risk is real: null versions allow any version on install
  • Runtime deps are critical (fastapi, orjson for REST layer; pandas for data ops)
  • Recommendation (bounded ranges or central constraints) is sound practice

[done]

  • File structure explored
  • null-versioned deps identified across components
  • Node context determined
  • Review comment verified as accurate
  • Concern validity confirmed
    </scratchpad_end] -->

Null-pinned dependencies confirmed across multiple components—reproducibility risk validated

Verification confirms the concern: ChatOutput uses orjson and fastapi with version null, TypeConverterComponent uses pandas with version null, and lfx appears null across multiple nodes. These runtime dependencies lack version constraints, creating reproducibility risk. Recommend applying bounded version ranges (e.g., ">=1.0.0,<2.0.0") or implementing centralized dependency versioning at starter install time rather than per-component null constraints.

src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json (4)

764-775: De-pinning langchain_text_splitters may break template determinism.

Setting "version": null means “install latest”, which can drift and break the SplitText component code/behavior over time. Prefer a compatible floor (e.g., ">=0.3.11,<0.4") or central constraints to keep starter projects reproducible.

If this metadata field supports ranges, consider reverting to a bounded spec. Otherwise, keep null here but capture tested versions in a repo-wide constraints file used by the installer.


1908-1916: Second OpenAIEmbeddings node: keep dependency constraints consistent.

Mirror whatever constraint policy you adopt for the other OpenAIEmbeddings to avoid solver picking divergent versions.

Confirm both nodes resolve to the same langchain_openai version during starter import/install.


4296-4313: Duplicate Astra DB node: enforce the same version policy.

Ensure both AstraDB nodes resolve identical versions to avoid mixed APIs at runtime.

Add a quick check in your starter import path to log resolved versions for astrapy/langchain_astradb/langchain_core.

Centralize these constraints to a single source consumed by all starter JSONs.


3483-3500: Import paths and constructor params verified as compatible — consider pinning versions for stability.

HybridSearchMode is still exposed at langchain_astradb.utils.astradb, and the code in src/lfx/src/lfx/components/datastax/astradb_vectorstore.py (lines 262–264) correctly imports both AstraDBVectorStore and HybridSearchMode. AstraDBVectorStore accepts hybrid_search as a constructor kwarg, which matches the current usage pattern on line 304.

Current code is compatible with confirmed APIs. However, unbounded dependencies (version: null for astrapy, langchain_core, langchain_astradb) remain a stability risk. Adopt bounded version ranges or establish CI testing against latest to catch future drift.

src/backend/base/langflow/initial_setup/starter_projects/Search agent.json (1)

1067-1087: Provider options/icons and refresh flag.

Icons for WatsonxAI/Ollama look good. Also, agent_llm has refresh_button: false; ensure the actual refresh behavior lives on model_name (below) and help text matches the UI affordance.

src/backend/base/langflow/initial_setup/starter_projects/Market Research.json (2)

1347-1378: Speculative/invalid model names and refresh UX mismatch.

OpenAI model list includes entries like “gpt-5”, “gpt-5.1”, “o4-mini-high”, etc. Also the info says “click the refresh button”, but refresh_button isn’t enabled here and options are hardcoded.

  • Prefer deriving model_name options from provider constants at runtime (as in the component code), or enable refresh_button: true with external_options to fetch live options.
  • Remove models that the provider doesn’t expose, or hide them behind refresh.
    Would you like a follow-up patch that wires external_options and sets refresh_button: true?

Also applies to: 1941-1984


1696-1712: API key label should be provider‑agnostic.

This field reads “OpenAI API Key” but the Agent supports multiple providers. Use a generic label and let update_build_config swap display names per provider.

- "display_name": "OpenAI API Key",
- "info": "The OpenAI API Key to use for the OpenAI model.",
+ "display_name": "API Key",
+ "info": "Model Provider API key",

Confirm UI already updates this label dynamically; if so, set the default to generic for consistency.

src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json (4)

1630-1673: Hardcoded model list + no refresh button; info text suggests refresh.

The Agent’s model_name lists speculative models and has external_options: {} and real_time_refresh: false, but tooltip says to “click the refresh button.”

  • Enable refresh_button: true and wire external_options to fetch provider models, or keep options empty until provider+key are set.
  • Remove/guard unverified models.
    Would you like me to patch this field to use dynamic options?

1385-1401: API key label should be provider‑agnostic.

Use a generic label; let provider‑specific labels come from dynamic config.

- "display_name": "OpenAI API Key",
- "info": "The OpenAI API Key to use for the OpenAI model.",
+ "display_name": "API Key",
+ "info": "Model Provider API key",

870-886: Bytes fallback on JSON decode failure clutters output.

When JSON parsing fails, code sets result = response.text.encode("utf-8"). Prefer plain text to avoid bytes in UI.

-                    result = response.text.encode("utf-8")
+                    result = response.text

768-789: Mixed dependency pinning style.

validators is pinned (0.34.0) while aiofiles/httpx are null. Align policy: either pin critical libs or allow ranges consistently.

Confirm whether this metadata drives install resolution; if so, consider compatible pins for network libs to avoid breaking changes.

src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json (2)

2054-2097: Enable dynamic refresh for “Model Name” to match the help text.

The info says “click the refresh button,” but model_name has real_time_refresh: false and no refresh_button. Turn on both.

 "model_name": {
   "_input_type": "DropdownInput",
@@
-  "real_time_refresh": false,
+  "real_time_refresh": true,
+  "refresh_button": true,

Repeat in all three Agent nodes’ model_name blocks (ranges above).

Please confirm the backend supports on-demand model listing for each provider when refresh is triggered.

Also applies to: 2796-2839, 3538-3581


2003-2010: Telemetry flags: confirm consent and redaction.

Tracking fields like max_retries, max_tokens, timeout, seed is fine if user consent is enforced and values aren’t tied to identifiers.

  • Ensure telemetry honors a global “send analytics” toggle.
  • Confirm values are anonymized/aggregated and exclude session_id, base_url, project_id, api_key (already non-tracked here).

Also applies to: 2130-2135, 2231-2236

src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json (4)

907-928: Remove dangling 'json_mode' from field_order.

You filter this input at runtime, but it remains in field_order. Drop it to avoid UI confusion.

   "field_order": [
     "agent_llm",
     "max_tokens",
     "model_kwargs",
-    "json_mode",
     "model_name",
     "openai_api_base",

1671-1676: Align dependency pinning policy for 'requests'.

Most deps in this PR are version: null; here requests is pinned to 2.32.5. Make it null (or document why it must be pinned).

-          {
-            "name": "requests",
-            "version": "2.32.5"
-          },
+          {
+            "name": "requests",
+            "version": null
+          },

If you must pin, please reference the reason (compat or security) in a brief comment or ADR.


1076-1092: Rename API key label to be provider‑agnostic.

Label reads “OpenAI API Key” while provider is selectable. Prefer “API Key” to match the component code and avoid confusion.

-  "display_name": "OpenAI API Key",
+  "display_name": "API Key",
-  "info": "The OpenAI API Key to use for the OpenAI model.",
+  "info": "The API key to use for the selected model provider.",

1277-1299: Minor: IntInput with float step.

max_tokens is IntInput but uses step 0.1 and step_type float. Harmless, but set step 1 for clarity.

-  "step": 0.1,
-  "step_type": "float"
+  "step": 1,
+  "step_type": "int"
src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json (2)

90-99: Align edge target handle type with HandleInput.

After changing ChatOutput.input_value to HandleInput, set this edge handle type to "other" for consistency.

-  "type": "str"
+  "type": "other"

1752-1768: Rename API key label to generic “API Key”.

Same rationale as in Simple Agent: provider is selectable.

-  "display_name": "OpenAI API Key",
+  "display_name": "API Key",
-  "info": "The OpenAI API Key to use for the OpenAI model.",
+  "info": "The API key to use for the selected model provider.",
src/backend/base/langflow/initial_setup/starter_projects/Research Agent.json (1)

2935-2939: Range spec max/min values should remain as integers, not floats, for integer-typed fields.

The range_spec for max_tokens (line 2936–2937) and temperature (line 3191–3192) use floating-point bounds, but max_tokens and timeout are integer fields. While this may not break functionality, it creates a type mismatch. The range spec bounds should match the field type:

  • For max_tokens (int field): use "max": 128000, "min": 0 (integers)
  • For temperature (slider): floating-point bounds are appropriate

Consider reverting max/min to integers for integer-typed fields to maintain type consistency.

Also applies to: 3190-3194

src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json (1)

480-495: Confirm mixed dependency pinning strategy in starter config

These changes unpin several dependencies by setting versions to null:

  • orjson, fastapi in ChatOutput metadata
  • bs4, langchain_community in URLComponent metadata

while still keeping requests pinned to 2.32.5. This looks aligned with the PR-wide move away from hardcoded versions, but it does introduce a mixed strategy within the same starter flow.

If the intent is “no pins in starter projects except where strictly required,” you may want to revisit whether requests (and other remaining pins here) should also be set to null; if those pins are deliberate (e.g., for known compatibility), the current state is fine but worth documenting.

Also applies to: 976-995

src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json (2)

955-971: Provider‑neutral API key label.

The label/info are OpenAI‑specific; users can switch providers. Make the text generic to avoid UX confusion.

-                "display_name": "OpenAI API Key",
+                "display_name": "API Key",
 ...
-                "info": "The OpenAI API Key to use for the OpenAI model.",
+                "info": "API key for the selected model provider.",

2721-2729: Inconsistent default for MCP tool.

tool is hidden and has no options, but value is set (remix_lock_layer). Clear the default to avoid stale selection/validation edge cases.

-                "value": "remix_lock_layer"
+                "value": ""
src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json (4)

505-519: API key field label is provider‑specific (“OpenAI API Key”).

Since agent_llm can be Anthropic, Google, IBM, etc., this label is misleading. Use a provider‑agnostic label.

-    "display_name": "OpenAI API Key",
+    "display_name": "API Key",

Also applies to: 1252-1268, 2772-2788


713-718: Int input uses float stepping.

max_tokens is type int but step_type is float with 0.1 step. Use integer stepping to avoid UI/type inconsistencies.

-    "range_spec": { "max": 128000.0, "min": 0.0, "step": 0.1, "step_type": "float" }
+    "range_spec": { "max": 128000, "min": 0, "step": 1, "step_type": "int" }

Also applies to: 1463-1467, 2983-2987


521-539: Hidden fields marked required:true can create validation traps.

base_url and project_id are required but show:false globally. Prefer provider‑scoped required flags via dynamic build_config to avoid hidden‑required failures.

-    "required": true,
+    "required": false,

Let provider components add required fields when applicable (OpenAI base_url off; Vertex project_id on), as you already do in update_build_config.

Also applies to: 1269-1288, 2790-2808, 892-911, 1641-1660, 3161-3180


3536-3560: Avoid string round‑trip + literal_eval for yfinance news.

pprint → ast.literal_eval is fragile and slow. Return parsed objects directly from yfinance and build Data from them.

-    def _fetch_yfinance_data(self, ticker: yf.Ticker, method: YahooFinanceMethod, num_news: int | None) -> str:
+    def _fetch_yfinance_data(self, ticker: yf.Ticker, method: YahooFinanceMethod, num_news: int | None):
         try:
             if method == YahooFinanceMethod.GET_INFO:
-                result = ticker.info
+                return ticker.info
             elif method == YahooFinanceMethod.GET_NEWS:
-                result = ticker.news[:num_news]
+                return ticker.news[:num_news]
             else:
-                result = getattr(ticker, method.value)()
-            return pprint.pformat(result)
+                return getattr(ticker, method.value)()
         except Exception as e:
             ...
 
-    def _yahoo_finance_tool(... ) -> list[Data]:
+    def _yahoo_finance_tool(... ) -> list[Data]:
         ticker = yf.Ticker(symbol)
-        result = self._fetch_yfinance_data(ticker, method, num_news)
+        result = self._fetch_yfinance_data(ticker, method, num_news)
 
         if method == YahooFinanceMethod.GET_NEWS:
-            data_list = [
-                Data(text=f"{article['title']}: {article['link']}", data=article)
-                for article in ast.literal_eval(result)
-            ]
+            data_list = [Data(text=f"{a.get('title')}: {a.get('link')}", data=a) for a in (result or [])]
         else:
-            data_list = [Data(text=result, data={"result": result})]
+            data_list = [Data(text=str(result), data={"result": result})]
📜 Review details

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📒 Files selected for processing (40)
  • src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Financial Report Parser.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Hybrid Search RAG.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Invoice Summarizer.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Knowledge Ingestion.json (4 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Market Research.json (16 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Meeting Summary.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json (16 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json (23 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json (16 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Research Agent.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/SEO Keyword Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json (14 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Search agent.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json (42 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json (15 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Social Media Agent.json (16 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json (41 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Twitter Thread Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json (6 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json (17 hunks)
  • src/frontend/src/utils/styleUtils.ts (2 hunks)
  • src/lfx/src/lfx/base/agents/altk_base_agent.py (1 hunks)
  • src/lfx/src/lfx/components/__init__.py (4 hunks)
  • src/lfx/src/lfx/components/agents/__init__.py (0 hunks)
  • src/lfx/src/lfx/components/altk/__init__.py (1 hunks)
  • src/lfx/src/lfx/components/cuga/__init__.py (1 hunks)
  • src/lfx/src/lfx/components/models_and_agents/__init__.py (0 hunks)
💤 Files with no reviewable changes (2)
  • src/lfx/src/lfx/components/models_and_agents/init.py
  • src/lfx/src/lfx/components/agents/init.py
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src/lfx/src/lfx/base/agents/altk_base_agent.py (1)
src/lfx/src/lfx/components/models_and_agents/agent.py (1)
  • AgentComponent (37-644)
src/lfx/src/lfx/components/cuga/__init__.py (1)
src/lfx/src/lfx/components/cuga/cuga_agent.py (1)
  • CugaComponent (60-995)
src/lfx/src/lfx/components/altk/__init__.py (1)
src/lfx/src/lfx/components/altk/altk_agent.py (1)
  • ALTKAgentComponent (36-193)
🪛 GitHub Actions: Ruff Style Check
src/lfx/src/lfx/components/__init__.py

[error] 15-15: F401 'lfx.components.altk' imported but unused; consider removing, adding to all, or using a redundant alias. Command: uv run --only-dev ruff check --output-format=github .

🪛 GitHub Check: Ruff Style Check (3.13)
src/lfx/src/lfx/components/__init__.py

[failure] 15-15: Ruff (F401)
src/lfx/src/lfx/components/init.py:15:9: F401 lfx.components.altk imported but unused; consider removing, adding to __all__, or using a redundant alias


[failure] 35-35: Ruff (F401)
src/lfx/src/lfx/components/init.py:35:9: F401 lfx.components.cuga imported but unused; consider removing, adding to __all__, or using a redundant alias

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Comment thread src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json Outdated
Comment thread src/lfx/src/lfx/components/__init__.py
@deon-sanchez deon-sanchez changed the title Reorganize CUGA and ALTK components into single-element bundles refactor: reorganize CUGA and ALTK components into single-element bundles Nov 20, 2025
@deon-sanchez deon-sanchez added the refactor Maintenance tasks and housekeeping label Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@deon-sanchez deon-sanchez added the lgtm This PR has been approved by a maintainer label Nov 20, 2025
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LGTM! thanks @deon-sanchez

Screen.Recording.2025-11-20.at.1.24.05.PM.mov

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LGTM! I’m not exactly qualified to review the frontend portions of this but the backend structure looks nice and well done.



def __dir__() -> list[str]:
return list(__all__)
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👨🏼‍🦯 I am flying blind here, but curious.
The change looks good. I am unsure about the reason behind the directory change on the backend? Is it purely because the structure make more logical sense and this is moving the module importing logic to a dedicated file, or there are other technicalities around this @deon-sanchez?

@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 20, 2025
@github-actions github-actions Bot added refactor Maintenance tasks and housekeeping and removed refactor Maintenance tasks and housekeeping labels Nov 21, 2025
@deon-sanchez deon-sanchez added this pull request to the merge queue Nov 21, 2025
Merged via the queue into main with commit f174556 Nov 21, 2025
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@deon-sanchez deon-sanchez deleted the lfoss-2846 branch November 21, 2025 16:40
Kabilan-16 added a commit to SaravanakumarR2018/DragDropAIAgentBuilder that referenced this pull request Jan 21, 2026
* docs: Improve README Quickstart section and add dark mode logo (#10358)

* Improve README Quickstart section and reorganize installation options

- Add prominent Desktop download section before Quickstart
- Remove $ symbols from shell commands to fix copy button functionality
- Add clear 'Run from source' option with make run_cli for developers
- Improve Docker installation instructions with usage details
- Move security warnings to after installation options for better flow
- Remove redundant star/issues badges

These changes address common user confusion when trying to run Langflow,
especially for developers who clone the repo first and then struggle with
the package installation instructions.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Add dark mode logo support

- Added picture element for automatic dark/light mode logo switching
- Dark mode shows blue background logo, light mode shows black logo

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* Final README improvements

- Made 'Other install options' a proper section with emoji
- Updated deployment section with rocket emoji
- Fixed single-line formatting for subsections
- Added new star animation gif
- Changed 'tool' to 'platform' in description

* Improve Desktop download section messaging

- Made text more concise and action-oriented
- Changed download emoji from arrow to inbox
- Removed redundant 'built-in' and bold formatting
- Cleaner parenthetical for OS availability

* Revise README for Langflow Desktop and deployment info

Updated sections for clarity and added details about Langflow Desktop and deployment options.

* Revert star gif to GitHub attachment URL

Testing if local file path issue or markdown previewer issue

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* readme-changes

* Apply suggestion from @mendonk

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>

* fix: require active user for monitor endpoints (#10568)

Require active user for monitor endpoints

* refactor: Reorganize sidebar categories (#10180)

* Reorganize sidebar categories

* finishing touches

* templates

* ruff check fix

* merge fix

* filter out knowledge when ff'd off

* BE tests

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* more test fixes

* integration test fix

* Unit tests

* more test fixes

* reorg tests

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* update ui tests

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* mcp and playwright tests

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* BE test fixes

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* test fix

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* fix(agent): handle missing message id for disconnected agents (#10560)

* fix(agent): handle missing message id for disconnected agents

* [autofix.ci] apply automated fixes

* will this update comp index

* comp index

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Jordan Frazier <jordan.frazier@datastax.com>

* fix: Langflow logo on home page when s3 is enabled  (#10352)

* fixed and added tests

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* fix(playground): preserve timer start time when playground is reopened (#10516)

* Fix playground timer

* add jest unit tests

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Co-authored-by: cristhianzl <cristhian.lousa@gmail.com>

* fix: MCP component auto reset issue in non Tool Mode (#10440)

* Optimize tool dropdown handling and output processing

Improves logic for updating tool dropdown options by checking if the server has changed and whether tool mode is active, reducing unnecessary updates. Adds a process_output_item method to parse tool output as JSON when appropriate, enhancing output handling.

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* Update component_index.json

* Update Nvidia Remix.json

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* Update component_index.json

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* use cache enabled even for the no tool mode

* Update component_index.json

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* Update Nvidia Remix.json

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* Add Notion integration components to index

Updated component_index.json to include new Notion integration components: AddContentToPage, NotionDatabaseProperties, NotionListPages, NotionPageContent, NotionPageCreator, NotionPageUpdate, and NotionSearch. These components provide functionality for interacting with Notion databases and pages, including querying, creating, updating, and retrieving content.

* [autofix.ci] apply automated fixes

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* fix: add selector to let dropdown load

add Select a tool selector to let dropdown load before interacting

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* [autofix.ci] apply automated fixes (attempt 3/3)

* Update MCPToolsComponent code and metadata

Updated the code and code_hash for MCPToolsComponent in Nvidia Remix starter project and synchronized the component_index.json to reflect the latest code and metadata. This ensures consistency and includes recent improvements or fixes to the MCPToolsComponent implementation.

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Adam Aghili <Adam.Aghili@ibm.com>

* fix: Switch to browser-compatible MathJax import (#10563)

add browser support to rehype package build

* feat: patch icons to support dark theme and Composio Slack component fix. (#10577)

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* updates components JSON

* fix: format

* updates components JSON

* Remove unnecessary blank lines in __init__.py

Cleaned up formatting by deleting extra blank lines in the _dynamic_imports dictionary for improved readability.

* Update component_index.json

* Update component_index.json

* Update component_index.json

* Update component_index.json

* fix: Slack component issue

* fix: icons update to support dark theme

* fix: Klaviyo imports

* Update component_index.json

---------

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* feat: add toolkit_versions and updated composio and composio_langchain versions. (#10578)

* feat: added toolkit versions and updated composio and composio_langchain packages

* fix: format

---------

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* fix: marked required fields for fields with MultilineInput input types. (#10579)

fix: marked required fields with MultilineInputs

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* feat: replaced initiate method with link method. (#10580)

feat: replaced .initiate() with .link()

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* feat: Add ALTK Agent with tool validation and comprehensive tests (#10587)

* Add ALTK Agent with tool validation and comprehensive tests

- Added agent-lifecycle-toolkit~=0.4.1 dependency to pyproject.toml
- Implemented ALTKBaseAgent with comprehensive error handling and tool validation
- Added ALTKToolWrappers for SPARC integration and tool execution safety
- Created ALTK Agent component with proper LangChain integration
- Added comprehensive test suite covering tool validation, conversation context, and edge cases
- Fixed docstring formatting to comply with ruff linting standards

* [autofix.ci] apply automated fixes

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* minor fix to execute_tool that was left out.

* Fixes following coderabbitai comments.

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

* Update component_index.json

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* [autofix.ci] apply automated fixes (attempt 3/3)

* Add custom message to dict conversion in ValidatedTool

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* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes (attempt 2/3)

* [autofix.ci] apply automated fixes (attempt 3/3)

* Add Notion integration components to index

Updated component_index.json to include new Notion integration components: AddContentToPage, NotionDatabaseProperties, NotionListPages, NotionPageContent, NotionPageCreator, NotionPageUpdate, and NotionSearch. These components provide functionality for interacting with Notion databases and pages, including querying, creating, updating, and retrieving content.

* [autofix.ci] apply automated fixes

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Co-authored-by: Koren Lazar <koren.lazar@ibm.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* feat: Add MCP server config sanitization for sensitive data (#10552)

add clean mcp config function

* feat: Implement dynamic model discovery system (#10523)

* add dynamic model request

* add description to groq

* add cache folder to store cache models json

* change git ignore description

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* add comprehensive tests for Groq dynamic model discovery

- Add 101 unit tests covering success, error, and edge cases
- Test model discovery, caching, tool calling detection
- Test fallback models and backward compatibility
- Add support for real GROQ_API_KEY from environment
- Fix all lint errors and improve code quality

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* fix Python 3.10 compatibility - replace UTC with timezone.utc

Python 3.10 doesn't have datetime.UTC, need to use timezone.utc instead

* fix pytest hook signature - use config instead of _config

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* fix conftest config.py

* fix timezone UTC on tests

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

* feat: remove `code` from Transactions to reduce clutter in logs (#10400)

* refactor: remove code from transaction model inputs

* refactor: remove code from transaction model inputs

* tests: add tests to make sure code is not added to transactions data

* [autofix.ci] apply automated fixes

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* refactor: improve code removal from logs with explicit dict copying

---------

Co-authored-by: Edwin Jose <edwin.jose@datastax.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

* refactor(service_manager): implement lazy initalization of service manager (#8828)

* refactor: implement lazy initialization for ServiceManager with thread safety

- Replaced direct instantiation of ServiceManager with a lazy initialization approach using a global variable and threading lock.
- Updated the public API to expose `get_service_manager` for retrieving the singleton instance.
- Ensured thread-safe access to the ServiceManager instance to prevent issues during module import.

* refactor: update service manager imports to use get_service_manager

- Replaced direct imports of service_manager with get_service_manager in multiple files to ensure consistent access to the singleton instance.
- This change enhances code clarity and maintains the lazy initialization approach for the ServiceManager.

* refactor: remove deprecated Enhanced ServiceManager implementation

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* refactor: implement thread-safe lazy initialization for ServiceManager

* feat: add filelock dependency in lfx

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* update component index

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

* feat: new release for cuga component (#10591)

* feat: new release of cuga

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* fix: address review

* fix: fixed more bugs

* fix: build component index

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* fix: update test

* chore: update component index

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---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

* ci: upgrade playwright to 1.56 and fix second time imports (#10284)

* chore: update Playwright and related dependencies to version 1.56.0 in package.json and package-lock.json

* refactor: update addLegacyComponents function to improve selector checks

- Replaced the expect assertion with a waitForSelector call to ensure the sidebar legacy switch is checked, enhancing reliability in tests.
- Updated import statement for Page from "@playwright/test" for consistency with current practices.

* fix playwright imports

* chore: update Playwright version in CI workflow to 1.56.0 for consistency with project dependencies

* refactor: enhance lockFlow and unlockFlow functions for improved visibility checks

- Replaced isVisible calls with waitFor to ensure elements are visible before proceeding, enhancing test reliability.
- Removed unnecessary waitForTimeout calls to streamline the flow execution process.

* test(playwright): add validation for settings menu header text

* refactor(playwright): improve lock flow test with expect assertions

* refactor(playwright): simplify legacy component toggle validation

* feat: adds Component Inputs telemetry (#10254)

* feat: Introduce telemetry tracking for sensitive field types

Added a new set of field types that should not be tracked in telemetry due to their sensitive nature, including PASSWORD, AUTH, FILE, CONNECTION, and MCP. Updated relevant input classes to ensure telemetry tracking is disabled for these sensitive fields, enhancing data privacy and security.

* feat: Enhance telemetry payloads with additional fields and serialization support

Added new fields to the ComponentPayload and ComponentInputsPayload classes, including component_id and component_run_id, to improve telemetry data tracking. Introduced a serialize_input_values function to handle JSON serialization of component input values, ensuring robust handling of input data for telemetry purposes.

* feat: Implement telemetry input tracking and caching

Added functionality to track and cache telemetry input values within the Component class. Introduced a method to determine if inputs should be tracked based on sensitivity and an accessor for retrieving cached telemetry data, enhancing the robustness of telemetry handling.

* feat: Add logging for component input telemetry

Introduced a new method, log_package_component_inputs, to the TelemetryService for logging telemetry data related to component inputs. This enhancement improves the tracking capabilities of the telemetry system, allowing for more detailed insights into component interactions.

* feat: Enhance telemetry logging for component execution

Added functionality to log component input telemetry both during successful execution and error cases. Introduced a unique component_run_id for each execution to improve tracking. This update ensures comprehensive telemetry data collection, enhancing the robustness of the telemetry system.

* feat: Extend telemetry payload tests and enhance serialization

Added tests for the new component_id and component_run_id fields in ComponentPayload and ComponentInputsPayload classes. Introduced a new test suite for ComponentInputTelemetry, covering serialization of various data types and handling of edge cases. This update improves the robustness and coverage of telemetry data handling in the system.

* fix: Update default telemetry tracking behavior in BaseInputMixin

Changed the default value of track_in_telemetry from True to False in the BaseInputMixin class. Updated documentation to clarify that telemetry tracking is now opt-in and can be explicitly enabled for individual input types, enhancing data privacy and control.

* fix: Update telemetry tracking defaults for input types

Modified the default value of `track_in_telemetry` for various input classes to enhance data privacy. Regular inputs now default to False, while safe inputs like `IntInput` and `BoolInput` default to True, ensuring explicit opt-in for telemetry tracking. Updated related tests to reflect these changes.

* feat: add chunk_index and total_chunks fields to ComponentInputsPayload

This commit adds two new optional fields to ComponentInputsPayload:
- chunk_index: Index of this chunk in a split payload sequence
- total_chunks: Total number of chunks in the split sequence

Both fields default to None and use camelCase aliases for serialization.
This is Task 1 of the telemetry query parameter splitting implementation.

Tests included:
- Verify fields exist and can be set
- Verify camelCase serialization aliases work correctly
- Verify fields default to None when not provided

Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: update ComponentInputsPayload to support automatic splitting of oversized inputs

This commit enhances the ComponentInputsPayload class by implementing functionality to automatically split input values into multiple chunks if they exceed the maximum URL size limit. Key changes include:

- Added methods for calculating URL size, truncating oversized values, and splitting payloads.
- Updated component_inputs field to accept a dictionary instead of a string for better handling of input values.
- Improved documentation for the ComponentInputsPayload class to reflect the new splitting behavior and usage examples.

These changes aim to improve telemetry data handling and ensure compliance with URL length restrictions.

* refactor: enhance log_package_component_inputs to handle oversized payloads

This commit updates the log_package_component_inputs method in the TelemetryService class to split component input payloads into multiple requests if they exceed the maximum URL size limit. Key changes include:

- Added logic to split the payload using the new split_if_needed method.
- Each chunk is queued separately for telemetry logging.

These improvements ensure better handling of telemetry data while adhering to URL length restrictions.

* refactor: centralize maximum telemetry URL size constant

This commit introduces a centralized constant, MAX_TELEMETRY_URL_SIZE, to define the maximum URL length for telemetry GET requests. Key changes include:

- Added MAX_TELEMETRY_URL_SIZE constant to schema.py for better maintainability.
- Updated split_if_needed method in ComponentInputsPayload to use the new constant instead of a hardcoded value.
- Adjusted the TelemetryService to reference the centralized constant for URL size limits.

These changes enhance code clarity and ensure consistent handling of URL size limits across the telemetry service.

* refactor: update ComponentInputsPayload tests to use dictionary inputs

This commit modifies the tests for ComponentInputsPayload to utilize a dictionary for component inputs instead of a serialized JSON string. Key changes include:

- Renamed the test method to reflect the new input type.
- Removed unnecessary serialization steps and assertions related to JSON strings.
- Added assertions to verify the correct handling of dictionary inputs.

These changes streamline the testing process and improve clarity in how component inputs are represented.

* test: add integration tests for telemetry service payload splitting

This commit introduces integration tests for the TelemetryService to verify its handling of large and small payloads. Key changes include:

- Added tests to ensure large payloads are split into multiple chunks and queued correctly.
- Implemented a test to confirm that small payloads are not split and result in a single queued event.
- Created a mock settings service for testing purposes.

These tests enhance the reliability of the telemetry service by ensuring proper payload management.

* test: enhance ComponentInputsPayload tests with additional scenarios

This commit expands the test suite for ComponentInputsPayload by adding various scenarios to ensure robust handling of input payloads. Key changes include:

- Introduced tests for calculating URL size, ensuring it returns a positive integer and accounts for encoding.
- Added tests to verify the splitting logic for large payloads, including checks for chunk metadata and preservation of fixed fields.
- Implemented property-based tests using Hypothesis to validate that all chunks respect the maximum URL size and preserve original data.

These enhancements improve the reliability and coverage of the ComponentInputsPayload tests, ensuring proper functionality under various conditions.

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* optimize query param encoding

Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>

* refactor: extract telemetry logging logic into a separate function

This commit introduces a new function, _log_component_input_telemetry, to centralize the logic for logging component input telemetry. The function is called in two places within the generate_flow_events function, improving code readability and maintainability by reducing duplication. This change enhances the clarity of telemetry handling in the flow generation process.

* refactor: optimize truncation logic in ComponentInputsPayload

This commit refines the truncation logic for input values in the ComponentInputsPayload class. The previous binary search method for string values has been simplified, allowing for direct truncation of both string and non-string values. This change enhances code clarity and maintains functionality while ensuring optimal handling of oversized inputs.

* refactor: update telemetry tracking logic to respect opt-in flag

This commit modifies the telemetry tracking logic in the Component class to change the default behavior of the `track_in_telemetry` attribute from True to False. This adjustment enhances user privacy by requiring explicit consent for tracking input objects in telemetry. The change ensures that sensitive field types are still auto-excluded from tracking, maintaining the integrity of the telemetry data.

* refactor: update tests to use dictionary format for component inputs

This commit modifies the integration tests for telemetry payload validation and component input telemetry to utilize dictionaries for component inputs instead of serialized JSON strings. Key changes include:

- Updated assertions to compare dictionary inputs directly.
- Enhanced clarity and maintainability of the test cases by removing unnecessary serialization steps.

These changes improve the representation of component inputs in tests, aligning with recent refactoring efforts.

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* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

This commit updates the type annotation for the current_chunk_inputs variable in the ComponentInputsPayload class to explicitly define it as a dictionary. This change enhances code clarity and maintainability by providing better type information for developers working with the code.

* test: add component_id to ComponentPayload tests

This commit enhances the test cases for the ComponentPayload class by adding a component_id parameter to various initialization tests. The updates ensure that the component_id is properly tested across different scenarios, including valid parameters, error messages, and edge cases. This change improves the robustness of the tests and aligns with recent updates to the ComponentPayload structure.

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* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

This commit increases the maximum URL size for telemetry GET requests from 2000 to 2048 bytes to align with Scarf's specifications. Corresponding test assertions have been updated to reference the new constant, ensuring consistency across the codebase.

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* feat(telemetry): add track_in_telemetry field to starter project configurations

* refactor(telemetry): remove unused blank line in test imports

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* update starter templates

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Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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* fix(telemetry): resolve cyclic import in telemetry service (#10598)

* fix(telemetry): resolve cyclic import by moving get_email_model

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* feat: Add gpt-5.1 model to Language models (#10590)

* Add gpt-5.1 model to starter projects

Added 'gpt-5.1' to the list of available models in all starter project JSON files to support the new model version. This update ensures users can select gpt-5.1 in agent configurations.

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* Update component_index.json

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* fix: Use the proper Embeddings import for Qdrant vector store (#10613)

* Use the proper Embeddings import for Qdrant vector store

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Co-authored-by: Madhavan <cxo@ibm.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

* fix: Ensure split text test is more robust (#10622)

* fix: Ensure split text test is more robust

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* docs: security notice (#10555)

* docs-security-notice

* Apply suggestions from code review

Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com>

* code-review

* link-to-security-bulletin

* Apply suggestions from code review

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* fix: use issubclass in the pool creation (#10232)

* use issubclass in the pool creation

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* add poolclass pytests

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* docs: OpenAPI spec version upgraded from 1.6.5 to 1.6.8 (#10627)

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* chore: Fix indentation on bundles-docling.mdx (#10640)

* feat: make it possible to load graphs using `get_graph` function in scripts (#9913)

* feat: Enhance graph loading functionality to support async retrieval

- Updated `load_graph_from_script` to be an async function, allowing for the retrieval of the graph via an async `get_graph` function if available.
- Implemented fallback to the existing `graph` variable for backward compatibility.
- Enhanced `find_graph_variable` to identify both `get_graph` function definitions and `graph` variable assignments, improving flexibility in script handling.

* feat: Update load_graph_from_script to support async graph retrieval

- Refactored `load_graph_from_script` to be an async function, enabling the use of an async `get_graph` function for graph retrieval.
- Implemented a fallback mechanism to access the `graph` variable for backward compatibility.
- Enhanced error handling to provide clearer messages when neither `graph` nor `get_graph()` is found in the script.

* feat: Refactor simple_agent.py to support async graph creation

- Introduced an async `get_graph` function to handle the initialization of components and graph creation without blocking.
- Updated the logging configuration and component setup to be part of the async function, improving the overall flow and responsiveness.
- Enhanced documentation for the `get_graph` function to clarify its purpose and return type.

* feat: Update serve_command and run functions to support async graph loading

- Refactored `serve_command` to be an async function using `syncify`, allowing for non-blocking execution.
- Updated calls to `load_graph_from_path` and `load_graph_from_script` within `serve_command` and `run` to await their results, enhancing performance and responsiveness.
- Improved overall async handling in the CLI commands for better integration with async workflows.

* feat: Refactor load_graph_from_path to support async execution

- Changed `load_graph_from_path` to an async function, enabling non-blocking graph loading.
- Updated the call to `load_graph_from_script` to use await, improving performance during graph retrieval.
- Enhanced the overall async handling in the CLI for better integration with async workflows.

* feat: Enhance async handling in simple_agent and related tests

- Updated `get_graph` function in `simple_agent.py` to utilize async component initialization for improved responsiveness.
- Modified test cases in `test_simple_agent_in_lfx_run.py` to validate the async behavior of `get_graph`.
- Refactored various test functions across multiple files to support async execution, ensuring compatibility with the new async workflows.
- Improved documentation for async functions to clarify their purpose and usage.

* docs: Implement async get_graph function for improved component initialization

- Introduced an async `get_graph` function in `README.md` to facilitate non-blocking component initialization.
- Enhanced the logging configuration and component setup within the async function, ensuring a smoother flow.
- Updated documentation to clarify the purpose and return type of the `get_graph` function, aligning with the async handling improvements.

* refactor: reorder imports in simple_agent test file

* style: reorder imports in simple_agent test file

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* update component index

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* feat: Add custom download node function (#10659)

* add custom download node

* use download node

* feat: Add type check before issubclass in service discovery (#10636)

* Add type check before issubclass in service discovery

Added an isinstance(obj, type) check before issubclass to prevent errors when inspecting module members for Service and ServiceFactory subclasses. This improves robustness when dynamically importing services and factories.

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* docs: readme update  (#10657)

* dep-management

* are

* fix: minor redesign of guardrails for disabling components in LF Astra cloud (#10662)

* create cloud validation util file

disable local_db if in astra cloud

disable split_video if in astra cloud

disable video_file component if in astra cloud

ruff (video_file.py)

correct the error message in video_file.py

disable mem0 and composio in astra cloud

update astra disable component util fn name to be more descriptive

add tests for disabling components

minor docs patch

remove component disable check in places that interact with building the component index

replace init test with execution in composio unit test suite

remove dotenv from validate_cloud

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* fix: prevent autofix workflow loop from bot commits (#10673)

fix(ci): prevent autofix workflow loop from bot commits

* fix(lfx-dev): reload specific modules while preserving index cache (#10629)

* fix(lfx-dev): reload specific modules while preserving index cache

* refactor: restructure component loading with strategy pattern for dev mode

* fix: improve cache loading error handling in component index loading

* refactor: reorganize CUGA and ALTK components into single-element bundles (#10671)

* moved cuga and altk

* reverted starter templates

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* updated import

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* revert starter templates

* fixed some python tests

* fix: update import assertions for backward compatibility in dynamic import tests

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* fix: update import paths for set_advanced_true and get_parent_agent_inputs in test_helper_functions

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* feat: fix cuga component with new release (#10646)

* bufix(cuga_agent): fixed no output chat bug

* fix: remove structured output feature

* fix: stablize component

* fix: chat output component not working

* fix: add strategy flag

* fix: update cuga version

* feat: add component index

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* update some imports to use lfx

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* fix: update review

* chore: build component index

* chore: build component

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* fix(cuga): ensure message id exists when not connected to output

* fix: component result id on chat output

* chore: fix component index

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* Revert test_agent_component.py back to origin/main

* fix: remove unwanted tests

* chore: new build index

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* fix: update test

* chore: build index

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* fix: update package of cuga

* chore: build component index

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* update comp index

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* trying comp index again?

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* fix: Add IBM watsonx.ai support to EmbeddingModel (#10677)

* Add IBM watsonx.ai support to EmbeddingModel

Added IBM watsonx.ai as a supported provider in EmbeddingModelComponent, updated dependencies and code to integrate ibm_watsonx_ai and pydantic. Updated starter project and component index metadata to reflect new dependencies and code changes.

* update watsonx default models

* update index

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* Update test_embedding_model_component.py

* Update component_index.json

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* fix: rename LLM router to LLM selector (#10650)

* fix: rename LLM router to LLM selector

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* fix: rename LLMRouter component to LLMSelector

* fix: resolved merge conflicts

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* fix: resolved merge conflicts

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* fix: refactor file name

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* fix: resolve merge conflict

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* fix: resolve merge conflict

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* Fix: add environment variable flag to log alembic to stdout (#10620)

* fix: add flag to log alembic to stdout

fix indentation

refine docs

mypy (db service.py)

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* fix: move sql database to data source category (#10651)

* fix: move sql database to data source category

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* fix: resolve merge conflict

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* fix: fixes YouTube Icon name in lazyloadingMapping (#10628)

* fix lazyloadingMapping component name

* fix: merge conflicts

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* fix: resolve merge conflict

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* Fix: rename sidebar category flow controls to flow control (#10649)

* rename sidebar category flow controls to flow control

* fix: addressed PR comments

* fix: expose logger functions at module level for backwards comp (#10670)

* Expose logger functions at module level for backwards comp

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* feat: agentic UX (#10567)

* Add empty __init__.py files for agentic modules

Created empty __init__.py files in agentic, core, tools, and utils directories to initialize them as Python packages.

* Add agentic template search utilities and tests

Introduces a new agentic utilities module for Langflow, including template search, tag extraction, and template count functions. Adds a README, demo script, and comprehensive unit tests for template search functionality.

* Add Langflow Agentic MCP server with FastMCP tools

Introduces a new MCP (Model Context Protocol) server for Langflow agentic tools using FastMCP. Adds server, CLI, example usage, tests, and comprehensive documentation. Exposes four MCP tools: search_templates, get_template, list_all_tags, and count_templates, enabling AI assistants to query and filter Langflow templates programmatically.

* Handle unparameterized list types in schema inputs

Adds support for unparameterized list annotations by treating them as lists of strings when converting schemas to Langflow inputs. This ensures nullable array schemas without explicit item types are handled gracefully.

* Refactor search_templates to simplify parameters

Removed the 'tags' parameter from the search_templates function and set a default value for 'fields'. Updated the call to list_templates to match the new signature, streamlining template search functionality.

* Add output item processing for tool results

Introduced process_output_item to handle tool output items, attempting to parse text-type items as JSON. This improves downstream handling of tool outputs by converting JSON strings to dictionaries when possible.

* Refactor knowledge base path initialization

Replaces direct settings access with a lazy-loading function for the knowledge bases root path in Knowledge Ingestion and Knowledge Retrieval starter projects. This improves reliability and consistency when accessing the knowledge base directory, and updates all usages to the new helper function.

* Update component_index.json

* Add IBM watsonx.ai support to starter projects

Introduces IBM watsonx.ai as a selectable model provider in multiple starter project JSONs. Adds new input fields for 'base_url', 'project_id', and 'max_output_tokens' to support IBM watsonx.ai integration. Updates agent component code to handle new provider and its required parameters.

* Add Ollama to supported LLM providers in starter projects

Ollama has been added as a supported provider alongside Anthropic, Google Generative AI, OpenAI, and IBM watsonx.ai in all starter project JSON files. This expands the available options for LLM integration in initial setup templates.

* Update Ollama model input constants and logic

Refactored model_input_constants.py to update the OLLAMA_MODEL_INPUTS and OLLAMA_MODEL_INPUTS_MAP. Modified ollama.py to use the new input mapping and improved input handling for Ollama components.

* Add flow creation from template MCP tool

Introduces a new MCP tool for creating flows from starter templates in Langflow Agentic. Adds the utility function `create_flow_from_template_and_get_link` and exposes it via the FastMCP server, allowing users to create flows by template id and receive a UI link. Updates imports and documentation accordingly.

* Add component search utilities and MCP tools to server

Introduces new component search and retrieval tools to the MCP server, including endpoints for searching, listing, and counting components. Adds support functions in support.py for data normalization and a new component_search.py utility module. Updates the Nvidia Remix starter project to use the latest MCPToolsComponent code.

* Add flow graph visualization utilities

Introduces async utility functions for generating ASCII and text representations of flow graphs, as well as metadata summaries. These utilities support fetching flows by ID or name, error handling, and integration with Langflow's graph and logging modules.

* Add flow component operations utilities and MCP tools

Introduces flow component management utilities in `flow_component.py` for retrieving, updating, and listing component field values. Exposes new MCP tools in `server.py` for accessing component details, field values, updating fields, and listing all fields within a flow component.

* Add SystemMessageGen flow and update MCPTools

Introduces SystemMessageGen.json flow for agentic system message generation and updates MCPTools component logic in flow_component.py to support new flow structure and tool handling.

* feat: init aiButton

create an aiButton that opens the prompt modal for demoing
add multiinput mixin

* Update component_index.json

* Refactor SystemMessageGen flow and remove unused init files

Updated SystemMessageGen.json to support custom instructions, OpenAI model configuration, and improved agent settings. Removed unused __init__.py files from agentic, core, tools, and utils directories to clean up the codebase.

* update to the mcp component

* Add verify_ssl option to MCPToolsComponent

Introduces a 'verify_ssl' boolean input to MCPToolsComponent for controlling SSL certificate verification in HTTPS connections. The option is added to the server config if not present, allowing users to disable verification for development or testing with self-signed certificates.

* Optimize tool dropdown handling and output processing

Improves logic for updating tool dropdown options by checking if the server has changed and whether tool mode is active, reducing unnecessary updates. Adds a process_output_item method to parse tool output as JSON when appropriate, enhancing output handling.

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* feat: init onclick assistant prompt generation

first pass at on button click generate input and auto fill a field

* Replace MCPTools with Prompt Template in SystemMessageGen flow

Updated the SystemMessageGen.json flow to use the Prompt Template and Parser components instead of MCPTools. Adjusted edges, nodes, and component configurations to reflect the new prompt-based workflow, removing tool selection and execution logic in favor of prompt generation and parsing.

* Update SystemMessageGen flow and frontend dependencies

Refactored edge connections and metadata in SystemMessageGen.json to improve flow logic and updated endpoint name. Added new optional and peer dependencies to package-lock.json, including @mapbox/node-pre-gyp and related packages, to support canvas and other modules.

* Update user authentication in simplified_run_flow endpoint

Replaces the dependency on api_key_security with CurrentActiveUser for the api_key_user parameter in the simplified_run_flow endpoint. This change is part of a TODO to create a new endpoint and may affect how user authentication is handled.

* feat: hook everything up and have onclick prompt

hook up commit

* Add auto-configuration for Agentic MCP server

Introduces utilities and startup logic to automatically configure the Langflow Agentic MCP server for all users when the agentic experience is enabled. Adds a new settings flag `agentic_experience` to control this feature, and updates the main server startup to trigger configuration. This enables agentic tools for flow/component operations, template search, and graph visualization in MCP clients.

* Enable agentic MCP server and improve initialization

Set agentic_experience to True by default in settings. Refactor agentic MCP server initialization in main.py to run in the background with a delay and retry logic, improving startup reliability. Update function calls to use 'current_user' instead of 'user' in agentic_mcp.py for consistency.

* Update user authentication in simplified_run_flow

Modified the api_key_user parameter to accept either CurrentActiveUser or UserRead from api_key_security, supporting both Bearer and session authentication methods.

* revert the apikeu_user changes

* test new api endpoint

* Refactor agent flow and update component inputs

Updated SystemMessageGen.json to refactor edge connections and node IDs for agentic flow. Added 'base_url' as a required input, enabled 'ai_enabled' for agent description, and replaced static memory input handling with dynamic retrieval via get_base_inputs(). Also improved tool callback setup and updated code hash and last_updated metadata.

* Improve agentic flow creation and updating logic

Enhances the agentic flow setup to extract flow_id and endpoint_name from JSON, update existing flows by ID or endpoint_name, and create new flows if they don't exist. Adds detailed logging and ensures flows are up-to-date in the user's Langflow Assistant folder.

* chore: aibutton clean up

* chore: add assistant store

* Update SystemMessageGen.json

* Update agentic_mcp.py

* Update component_index.json

* Fix agent input extraction from Message objects

Agents now correctly extract and use the text content from Message objects, rather than passing the entire object or its string representation. This resolves issues where agents received verbose message representations instead of just the intended string input, and includes improved handling for multimodal content. Corresponding unit and integration tests have been added to verify this behavior for both OpenAI and Anthropic agents.

* Add TemplateAssistant Langflow flow definition

Introduces TemplateAssistant.json, a comprehensive Langflow flow configuration for agentic workflows. This flow integrates AstraDB, MCP Tools, and user input/output nodes, enabling document ingestion, search, and tool orchestration within the Langflow backend.

* Improve MCPToolsComponent server/tool config refresh

Refactored MCPToolsComponent to better handle tool and server config refreshes, especially when the MCP server changes. Added logic to avoid unnecessary clearing of tool inputs and options, and improved caching and UI update behavior for tool selection. Also updated related flow and starter project JSON files to reflect these changes.

* auto add Global Variables for Agentic Experience

* chore: clean up and get button working again

* cleanup .md

* fix:ruff, Refactor agentic utils and improve error handling

Introduces shared default field lists for template/component search, refactors exception handling to use logger and add finally/else blocks, and improves type hinting with TYPE_CHECKING. Updates file opening to use Path objects, enhances error logging in template search, and removes the unused test_template_search.py file.

* fix:ruff Expand exception handling in agentic MCP utilities

Broadened exception handling in agentic MCP server and variable management functions to catch specific errors such as HTTPException, SQLAlchemyError, and common system exceptions. This improves robustness and error logging during server configuration, removal, and variable initialization.

* aka-clean-up-1

* Remove duplicate process_output_item method

Deleted two redundant definitions of the process_output_item method from MCPToolsComponent to clean up the code and prevent confusion.

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* Refactor service usage and improve project deletion logging

Refactored login API to reuse a single settings service instance. Enhanced logging and error messaging when attempting to delete the Langflow Assistant folder. Minor variable usage cleanup in agentic flows setup and agent component test.

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* Update test_template_search.py

* Handle specific exceptions in agentic flow loading

Updated the exception handling in load_agentic_flows to catch only OSError and orjson.JSONDecodeError instead of all exceptions, improving error specificity and logging.

* Update component_index.json

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* revert loading setting service

* Update login.py

* Update SystemMessageGen.json

* Update TemplateAssistant.json

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* Update constants.py

* chore: seperate templateassistant and sysmessgen

seperate templateassistant and sysmessgen frontend queries

* chore: add header feature flag

* use feature flag for all ui

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* package-lcok update

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* chore: LANGFLOW_AGENTIC_EXPERIENCE fe ff name

* Update login.py

* lint fix

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* Update component_index.json

* chore: fix adjust-screan-view click

* chore: same force issue as adjust-screen-view

* chore: playwright pass 2

* revert package-lock

* add type to langflow_modules

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* Handle TypeError in class-based serialization

Adds a try-except block to catch TypeError when checking issubclass for objects that are types but not proper classes, such as typing special forms. This prevents serialization errors for generic aliases and similar constructs.

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* Refactor type handling in field update and serialization

Changed 'new_value' parameter type to str in update_flow_component_field for stricter typing. Simplified exception handling in serialize by removing unnecessary try/except around issubclass checks for class-based Pydantic types.

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* ci: bump actions/checkout to v6 (#10697)

* feat: Improve OAuth error handling and frontend sync behavior (#10626)

* updates for version comp

* migrate mcp composer fix to main

* migrate mcp composer fix to main

* version constraints

* go back to pydantic 2.11

* remove logging

* directly pin to new version

* add instant feedback on error

* improve callback function behavior ux

* fix tests and mypy issues

* bump mcp composer version

* fixed latest version mcp

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* revert pydantic changes

* computed models pydantic fix

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* fix: Fix TypeError when LANGFLOW_ENABLE_LOG_RETRIEVAL is enabled (#10681)

* fix serialize issue when LANGFLOW_ENABLE_LOG_RETRIEVAL is true

* add logger tests

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* add multiple buffer checker

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* use serialize instead

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* docs: update component documentation links to individual pages

* Revert "docs: update component documentation links to individual pages"

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* test: catch import errors upfront (#10632)

* Convert to async and ruff-friendly print

* Implement the checking into existing test file itself

* Remove the newly introduced lfx test which is now incorporated into existing tests

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* Run make build_component_index after merging latest from main

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* Revert "docs: update component documentation links to individual pages"

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* build component index after origin/main merge into feature branch

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---------

Co-authored-by: Madhavan <cxo@ibm.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>

* feat: Support appending files when saving (#10631)

* feat: Support appending files when saving

* Update save_file.py

* Update News Aggregator.json

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* Update save_file.py

* Update save_file.py

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* Overwrite existing file if append mode is true

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* Update test_mcp_servers_file.py

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* Update save_file.py

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* chore: Update pip and setuptools version constraints (#10708)

* update setuptools and pip

* remove from lfx pypoetry

* feat: Display node name in download error message (#10707)

add component name on download error

* feat: Add Message Support for Input of Loop Component (#10160)

* feat: Add support for messages in Loop Component

* feat: Add Message support for input of Loop Component

* [autofix.ci] apply automated fixes

* Update src/frontend/src/utils/reactflowUtils.ts

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>

* [autofix.ci] apply automated fixes

* More cleanup of looping

* Fix ruff errors

* [autofix.ci] apply automated fixes

* Update loop-component.spec.ts

* Make loop types generic

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* Fixes from gabriel review

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Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>

* fix: Support tool mode in File Component properly (#10520)

* Support tool mode in dynamic outputs

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* Tool mode and ruff fixes

* Template updates

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* Update test_mcp_servers_file.py

* Revert "Update test_mcp_servers_file.py"

This reverts commit 25f24d0d8aa5a7c95c913f862d86513749195ad1.

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* add possibility for the agent to access the processed output file

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* docs: include regex for sanitized input types (#10712)

include-regex-for-sanitized-input

* feat: Version 1.2 - comprehensive database migration guidelines using… (#10519)

* feat: Version 1.2 - comprehensive database migration guidelines using the Expand-Contract pattern

* Update src/backend/base/langflow/alembic/DB-MIGRATION-GUIDE.MD

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix: Cleanup text and typos

* feat: Implement migration validation workflow and add migration validator scripts

* Update src/backend/base/langflow/alembic/migration_validator.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update src/backend/base/langflow/alembic/migration_validator.py

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* Update src/backend/base/langflow/alembic/migration_validator.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix: moved the test_migrations directory to under tests

* feat: Added migration validator to pre-commit check.

* fix: improved test performance.

* fix: optimized attribute resolution in migration validator

* feat: add comprehensive tests for migration validator and guidelines

* fix: Lint is complaining about shebang declared but not being used.

* fix: Shebang reinstated.

* Update src/backend/base/langflow/alembic/DB-MIGRATION-GUIDE.MD

Co-authored-by: Copilot <175728472+Copilot@users.…
SaravanakumarR2018 pushed a commit to SaravanakumarR2018/DragDropAIAgentBuilder that referenced this pull request Jan 22, 2026
* docs: Improve README Quickstart section and add dark mode logo (#10358)

* Improve README Quickstart section and reorganize installation options

- Add prominent Desktop download section before Quickstart
- Remove $ symbols from shell commands to fix copy button functionality
- Add clear 'Run from source' option with make run_cli for developers
- Improve Docker installation instructions with usage details
- Move security warnings to after installation options for better flow
- Remove redundant star/issues badges

These changes address common user confusion when trying to run Langflow,
especially for developers who clone the repo first and then struggle with
the package installation instructions.

🤖 Generated with [Claude Code](https://claude.ai/code)



* Add dark mode logo support

- Added picture element for automatic dark/light mode logo switching
- Dark mode shows blue background logo, light mode shows black logo

🤖 Generated with [Claude Code](https://claude.ai/code)



* Final README improvements

- Made 'Other install options' a proper section with emoji
- Updated deployment section with rocket emoji
- Fixed single-line formatting for subsections
- Added new star animation gif
- Changed 'tool' to 'platform' in description

* Improve Desktop download section messaging

- Made text more concise and action-oriented
- Changed download emoji from arrow to inbox
- Removed redundant 'built-in' and bold formatting
- Cleaner parenthetical for OS availability

* Revise README for Langflow Desktop and deployment info

Updated sections for clarity and added details about Langflow Desktop and deployment options.

* Revert star gif to GitHub attachment URL

Testing if local file path issue or markdown previewer issue

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* readme-changes

* Apply suggestion from @mendonk

---------





* fix: require active user for monitor endpoints (#10568)

Require active user for monitor endpoints

* refactor: Reorganize sidebar categories (#10180)

* Reorganize sidebar categories

* finishing touches

* templates

* ruff check fix

* merge fix

* filter out knowledge when ff'd off

* BE tests

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* more test fixes

* integration test fix

* Unit tests

* more test fixes

* reorg tests

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* update ui tests

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* mcp and playwright tests

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* BE test fixes

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* test fix

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* fix(agent): handle missing message id for disconnected agents (#10560)

* fix(agent): handle missing message id for disconnected agents

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* will this update comp index

* comp index

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* fix: Langflow logo on home page when s3 is enabled  (#10352)

* fixed and added tests

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* fix(playground): preserve timer start time when playground is reopened (#10516)

* Fix playground timer

* add jest unit tests

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* fix: MCP component auto reset issue in non Tool Mode (#10440)

* Optimize tool dropdown handling and output processing

Improves logic for updating tool dropdown options by checking if the server has changed and whether tool mode is active, reducing unnecessary updates. Adds a process_output_item method to parse tool output as JSON when appropriate, enhancing output handling.

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* Update component_index.json

* Update Nvidia Remix.json

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* Update component_index.json

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* use cache enabled even for the no tool mode

* Update component_index.json

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* Update Nvidia Remix.json

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* Add Notion integration components to index

Updated component_index.json to include new Notion integration components: AddContentToPage, NotionDatabaseProperties, NotionListPages, NotionPageContent, NotionPageCreator, NotionPageUpdate, and NotionSearch. These components provide functionality for interacting with Notion databases and pages, including querying, creating, updating, and retrieving content.

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* fix: add selector to let dropdown load

add Select a tool selector to let dropdown load before interacting

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* Update MCPToolsComponent code and metadata

Updated the code and code_hash for MCPToolsComponent in Nvidia Remix starter project and synchronized the component_index.json to reflect the latest code and metadata. This ensures consistency and includes recent improvements or fixes to the MCPToolsComponent implementation.

---------




* fix: Switch to browser-compatible MathJax import (#10563)

add browser support to rehype package build

* feat: patch icons to support dark theme and Composio Slack component fix. (#10577)

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* updates components JSON

* fix: format

* updates components JSON

* Remove unnecessary blank lines in __init__.py

Cleaned up formatting by deleting extra blank lines in the _dynamic_imports dictionary for improved readability.

* Update component_index.json

* Update component_index.json

* Update component_index.json

* Update component_index.json

* fix: Slack component issue

* fix: icons update to support dark theme

* fix: Klaviyo imports

* Update component_index.json

---------



* feat: add toolkit_versions and updated composio and composio_langchain versions. (#10578)

* feat: added toolkit versions and updated composio and composio_langchain packages

* fix: format

---------



* fix: marked required fields for fields with MultilineInput input types. (#10579)

fix: marked required fields with MultilineInputs



* feat: replaced initiate method with link method. (#10580)

feat: replaced .initiate() with .link()



* feat: Add ALTK Agent with tool validation and comprehensive tests (#10587)

* Add ALTK Agent with tool validation and comprehensive tests

- Added agent-lifecycle-toolkit~=0.4.1 dependency to pyproject.toml
- Implemented ALTKBaseAgent with comprehensive error handling and tool validation
- Added ALTKToolWrappers for SPARC integration and tool execution safety
- Created ALTK Agent component with proper LangChain integration
- Added comprehensive test suite covering tool validation, conversation context, and edge cases
- Fixed docstring formatting to comply with ruff linting standards

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* minor fix to execute_tool that was left out.

* Fixes following coderabbitai comments.

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* Update component_index.json

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* Add custom message to dict conversion in ValidatedTool

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* [autofix.ci] apply automated fixes (attempt 2/3)

* [autofix.ci] apply automated fixes (attempt 3/3)

* Add Notion integration components to index

Updated component_index.json to include new Notion integration components: AddContentToPage, NotionDatabaseProperties, NotionListPages, NotionPageContent, NotionPageCreator, NotionPageUpdate, and NotionSearch. These components provide functionality for interacting with Notion databases and pages, including querying, creating, updating, and retrieving content.

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---------





* feat: Add MCP server config sanitization for sensitive data (#10552)

add clean mcp config function

* feat: Implement dynamic model discovery system (#10523)

* add dynamic model request

* add description to groq

* add cache folder to store cache models json

* change git ignore description

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* add comprehensive tests for Groq dynamic model discovery

- Add 101 unit tests covering success, error, and edge cases
- Test model discovery, caching, tool calling detection
- Test fallback models and backward compatibility
- Add support for real GROQ_API_KEY from environment
- Fix all lint errors and improve code quality

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* fix Python 3.10 compatibility - replace UTC with timezone.utc

Python 3.10 doesn't have datetime.UTC, need to use timezone.utc instead

* fix pytest hook signature - use config instead of _config

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* fix conftest config.py

* fix timezone UTC on tests

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* feat: remove `code` from Transactions to reduce clutter in logs (#10400)

* refactor: remove code from transaction model inputs

* refactor: remove code from transaction model inputs

* tests: add tests to make sure code is not added to transactions data

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* refactor: improve code removal from logs with explicit dict copying

---------




* refactor(service_manager): implement lazy initalization of service manager (#8828)

* refactor: implement lazy initialization for ServiceManager with thread safety

- Replaced direct instantiation of ServiceManager with a lazy initialization approach using a global variable and threading lock.
- Updated the public API to expose `get_service_manager` for retrieving the singleton instance.
- Ensured thread-safe access to the ServiceManager instance to prevent issues during module import.

* refactor: update service manager imports to use get_service_manager

- Replaced direct imports of service_manager with get_service_manager in multiple files to ensure consistent access to the singleton instance.
- This change enhances code clarity and maintains the lazy initialization approach for the ServiceManager.

* refactor: remove deprecated Enhanced ServiceManager implementation

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* refactor: implement thread-safe lazy initialization for ServiceManager

* feat: add filelock dependency in lfx

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* update component index

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* feat: new release for cuga component (#10591)

* feat: new release of cuga

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* fix: address review

* fix: fixed more bugs

* fix: build component index

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* fix: update test

* chore: update component index

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* ci: upgrade playwright to 1.56 and fix second time imports (#10284)

* chore: update Playwright and related dependencies to version 1.56.0 in package.json and package-lock.json

* refactor: update addLegacyComponents function to improve selector checks

- Replaced the expect assertion with a waitForSelector call to ensure the sidebar legacy switch is checked, enhancing reliability in tests.
- Updated import statement for Page from "@playwright/test" for consistency with current practices.

* fix playwright imports

* chore: update Playwright version in CI workflow to 1.56.0 for consistency with project dependencies

* refactor: enhance lockFlow and unlockFlow functions for improved visibility checks

- Replaced isVisible calls with waitFor to ensure elements are visible before proceeding, enhancing test reliability.
- Removed unnecessary waitForTimeout calls to streamline the flow execution process.

* test(playwright): add validation for settings menu header text

* refactor(playwright): improve lock flow test with expect assertions

* refactor(playwright): simplify legacy component toggle validation

* feat: adds Component Inputs telemetry (#10254)

* feat: Introduce telemetry tracking for sensitive field types

Added a new set of field types that should not be tracked in telemetry due to their sensitive nature, including PASSWORD, AUTH, FILE, CONNECTION, and MCP. Updated relevant input classes to ensure telemetry tracking is disabled for these sensitive fields, enhancing data privacy and security.

* feat: Enhance telemetry payloads with additional fields and serialization support

Added new fields to the ComponentPayload and ComponentInputsPayload classes, including component_id and component_run_id, to improve telemetry data tracking. Introduced a serialize_input_values function to handle JSON serialization of component input values, ensuring robust handling of input data for telemetry purposes.

* feat: Implement telemetry input tracking and caching

Added functionality to track and cache telemetry input values within the Component class. Introduced a method to determine if inputs should be tracked based on sensitivity and an accessor for retrieving cached telemetry data, enhancing the robustness of telemetry handling.

* feat: Add logging for component input telemetry

Introduced a new method, log_package_component_inputs, to the TelemetryService for logging telemetry data related to component inputs. This enhancement improves the tracking capabilities of the telemetry system, allowing for more detailed insights into component interactions.

* feat: Enhance telemetry logging for component execution

Added functionality to log component input telemetry both during successful execution and error cases. Introduced a unique component_run_id for each execution to improve tracking. This update ensures comprehensive telemetry data collection, enhancing the robustness of the telemetry system.

* feat: Extend telemetry payload tests and enhance serialization

Added tests for the new component_id and component_run_id fields in ComponentPayload and ComponentInputsPayload classes. Introduced a new test suite for ComponentInputTelemetry, covering serialization of various data types and handling of edge cases. This update improves the robustness and coverage of telemetry data handling in the system.

* fix: Update default telemetry tracking behavior in BaseInputMixin

Changed the default value of track_in_telemetry from True to False in the BaseInputMixin class. Updated documentation to clarify that telemetry tracking is now opt-in and can be explicitly enabled for individual input types, enhancing data privacy and control.

* fix: Update telemetry tracking defaults for input types

Modified the default value of `track_in_telemetry` for various input classes to enhance data privacy. Regular inputs now default to False, while safe inputs like `IntInput` and `BoolInput` default to True, ensuring explicit opt-in for telemetry tracking. Updated related tests to reflect these changes.

* feat: add chunk_index and total_chunks fields to ComponentInputsPayload

This commit adds two new optional fields to ComponentInputsPayload:
- chunk_index: Index of this chunk in a split payload sequence
- total_chunks: Total number of chunks in the split sequence

Both fields default to None and use camelCase aliases for serialization.
This is Task 1 of the telemetry query parameter splitting implementation.

Tests included:
- Verify fields exist and can be set
- Verify camelCase serialization aliases work correctly
- Verify fields default to None when not provided

Generated with Claude Code (https://claude.com/claude-code)



* refactor: update ComponentInputsPayload to support automatic splitting of oversized inputs

This commit enhances the ComponentInputsPayload class by implementing functionality to automatically split input values into multiple chunks if they exceed the maximum URL size limit. Key changes include:

- Added methods for calculating URL size, truncating oversized values, and splitting payloads.
- Updated component_inputs field to accept a dictionary instead of a string for better handling of input values.
- Improved documentation for the ComponentInputsPayload class to reflect the new splitting behavior and usage examples.

These changes aim to improve telemetry data handling and ensure compliance with URL length restrictions.

* refactor: enhance log_package_component_inputs to handle oversized payloads

This commit updates the log_package_component_inputs method in the TelemetryService class to split component input payloads into multiple requests if they exceed the maximum URL size limit. Key changes include:

- Added logic to split the payload using the new split_if_needed method.
- Each chunk is queued separately for telemetry logging.

These improvements ensure better handling of telemetry data while adhering to URL length restrictions.

* refactor: centralize maximum telemetry URL size constant

This commit introduces a centralized constant, MAX_TELEMETRY_URL_SIZE, to define the maximum URL length for telemetry GET requests. Key changes include:

- Added MAX_TELEMETRY_URL_SIZE constant to schema.py for better maintainability.
- Updated split_if_needed method in ComponentInputsPayload to use the new constant instead of a hardcoded value.
- Adjusted the TelemetryService to reference the centralized constant for URL size limits.

These changes enhance code clarity and ensure consistent handling of URL size limits across the telemetry service.

* refactor: update ComponentInputsPayload tests to use dictionary inputs

This commit modifies the tests for ComponentInputsPayload to utilize a dictionary for component inputs instead of a serialized JSON string. Key changes include:

- Renamed the test method to reflect the new input type.
- Removed unnecessary serialization steps and assertions related to JSON strings.
- Added assertions to verify the correct handling of dictionary inputs.

These changes streamline the testing process and improve clarity in how component inputs are represented.

* test: add integration tests for telemetry service payload splitting

This commit introduces integration tests for the TelemetryService to verify its handling of large and small payloads. Key changes include:

- Added tests to ensure large payloads are split into multiple chunks and queued correctly.
- Implemented a test to confirm that small payloads are not split and result in a single queued event.
- Created a mock settings service for testing purposes.

These tests enhance the reliability of the telemetry service by ensuring proper payload management.

* test: enhance ComponentInputsPayload tests with additional scenarios

This commit expands the test suite for ComponentInputsPayload by adding various scenarios to ensure robust handling of input payloads. Key changes include:

- Introduced tests for calculating URL size, ensuring it returns a positive integer and accounts for encoding.
- Added tests to verify the splitting logic for large payloads, including checks for chunk metadata and preservation of fixed fields.
- Implemented property-based tests using Hypothesis to validate that all chunks respect the maximum URL size and preserve original data.

These enhancements improve the reliability and coverage of the ComponentInputsPayload tests, ensuring proper functionality under various conditions.

* [autofix.ci] apply automated fixes

* optimize query param encoding



* refactor: extract telemetry logging logic into a separate function

This commit introduces a new function, _log_component_input_telemetry, to centralize the logic for logging component input telemetry. The function is called in two places within the generate_flow_events function, improving code readability and maintainability by reducing duplication. This change enhances the clarity of telemetry handling in the flow generation process.

* refactor: optimize truncation logic in ComponentInputsPayload

This commit refines the truncation logic for input values in the ComponentInputsPayload class. The previous binary search method for string values has been simplified, allowing for direct truncation of both string and non-string values. This change enhances code clarity and maintains functionality while ensuring optimal handling of oversized inputs.

* refactor: update telemetry tracking logic to respect opt-in flag

This commit modifies the telemetry tracking logic in the Component class to change the default behavior of the `track_in_telemetry` attribute from True to False. This adjustment enhances user privacy by requiring explicit consent for tracking input objects in telemetry. The change ensures that sensitive field types are still auto-excluded from tracking, maintaining the integrity of the telemetry data.

* refactor: update tests to use dictionary format for component inputs

This commit modifies the integration tests for telemetry payload validation and component input telemetry to utilize dictionaries for component inputs instead of serialized JSON strings. Key changes include:

- Updated assertions to compare dictionary inputs directly.
- Enhanced clarity and maintainability of the test cases by removing unnecessary serialization steps.

These changes improve the representation of component inputs in tests, aligning with recent refactoring efforts.

* [autofix.ci] apply automated fixes

* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

This commit updates the type annotation for the current_chunk_inputs variable in the ComponentInputsPayload class to explicitly define it as a dictionary. This change enhances code clarity and maintainability by providing better type information for developers working with the code.

* test: add component_id to ComponentPayload tests

This commit enhances the test cases for the ComponentPayload class by adding a component_id parameter to various initialization tests. The updates ensure that the component_id is properly tested across different scenarios, including valid parameters, error messages, and edge cases. This change improves the robustness of the tests and aligns with recent updates to the ComponentPayload structure.

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* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

This commit increases the maximum URL size for telemetry GET requests from 2000 to 2048 bytes to align with Scarf's specifications. Corresponding test assertions have been updated to reference the new constant, ensuring consistency across the codebase.

* [autofix.ci] apply automated fixes

* feat(telemetry): add track_in_telemetry field to starter project configurations

* refactor(telemetry): remove unused blank line in test imports

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* update starter templates

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* fix(telemetry): resolve cyclic import in telemetry service (#10598)

* fix(telemetry): resolve cyclic import by moving get_email_model

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* feat: Add gpt-5.1 model to Language models (#10590)

* Add gpt-5.1 model to starter projects

Added 'gpt-5.1' to the list of available models in all starter project JSON files to support the new model version. This update ensures users can select gpt-5.1 in agent configurations.

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* Update component_index.json

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* Update component_index.json

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* fix: Use the proper Embeddings import for Qdrant vector store (#10613)

* Use the proper Embeddings import for Qdrant vector store

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* fix: Ensure split text test is more robust (#10622)

* fix: Ensure split text test is more robust

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* docs: security notice (#10555)

* docs-security-notice

* Apply suggestions from code review



* code-review

* link-to-security-bulletin

* Apply suggestions from code review



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* fix: use issubclass in the pool creation (#10232)

* use issubclass in the pool creation

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* add poolclass pytests

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* docs: OpenAPI spec version upgraded from 1.6.5 to 1.6.8 (#10627)




* chore: Fix indentation on bundles-docling.mdx (#10640)

* feat: make it possible to load graphs using `get_graph` function in scripts (#9913)

* feat: Enhance graph loading functionality to support async retrieval

- Updated `load_graph_from_script` to be an async function, allowing for the retrieval of the graph via an async `get_graph` function if available.
- Implemented fallback to the existing `graph` variable for backward compatibility.
- Enhanced `find_graph_variable` to identify both `get_graph` function definitions and `graph` variable assignments, improving flexibility in script handling.

* feat: Update load_graph_from_script to support async graph retrieval

- Refactored `load_graph_from_script` to be an async function, enabling the use of an async `get_graph` function for graph retrieval.
- Implemented a fallback mechanism to access the `graph` variable for backward compatibility.
- Enhanced error handling to provide clearer messages when neither `graph` nor `get_graph()` is found in the script.

* feat: Refactor simple_agent.py to support async graph creation

- Introduced an async `get_graph` function to handle the initialization of components and graph creation without blocking.
- Updated the logging configuration and component setup to be part of the async function, improving the overall flow and responsiveness.
- Enhanced documentation for the `get_graph` function to clarify its purpose and return type.

* feat: Update serve_command and run functions to support async graph loading

- Refactored `serve_command` to be an async function using `syncify`, allowing for non-blocking execution.
- Updated calls to `load_graph_from_path` and `load_graph_from_script` within `serve_command` and `run` to await their results, enhancing performance and responsiveness.
- Improved overall async handling in the CLI commands for better integration with async workflows.

* feat: Refactor load_graph_from_path to support async execution

- Changed `load_graph_from_path` to an async function, enabling non-blocking graph loading.
- Updated the call to `load_graph_from_script` to use await, improving performance during graph retrieval.
- Enhanced the overall async handling in the CLI for better integration with async workflows.

* feat: Enhance async handling in simple_agent and related tests

- Updated `get_graph` function in `simple_agent.py` to utilize async component initialization for improved responsiveness.
- Modified test cases in `test_simple_agent_in_lfx_run.py` to validate the async behavior of `get_graph`.
- Refactored various test functions across multiple files to support async execution, ensuring compatibility with the new async workflows.
- Improved documentation for async functions to clarify their purpose and usage.

* docs: Implement async get_graph function for improved component initialization

- Introduced an async `get_graph` function in `README.md` to facilitate non-blocking component initialization.
- Enhanced the logging configuration and component setup within the async function, ensuring a smoother flow.
- Updated documentation to clarify the purpose and return type of the `get_graph` function, aligning with the async handling improvements.

* refactor: reorder imports in simple_agent test file

* style: reorder imports in simple_agent test file

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* update component index

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* feat: Add custom download node function (#10659)

* add custom download node

* use download node

* feat: Add type check before issubclass in service discovery (#10636)

* Add type check before issubclass in service discovery

Added an isinstance(obj, type) check before issubclass to prevent errors when inspecting module members for Service and ServiceFactory subclasses. This improves robustness when dynamically importing services and factories.

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* docs: readme update  (#10657)

* dep-management

* are

* fix: minor redesign of guardrails for disabling components in LF Astra cloud (#10662)

* create cloud validation util file

disable local_db if in astra cloud

disable split_video if in astra cloud

disable video_file component if in astra cloud

ruff (video_file.py)

correct the error message in video_file.py

disable mem0 and composio in astra cloud

update astra disable component util fn name to be more descriptive

add tests for disabling components

minor docs patch

remove component disable check in places that interact with building the component index

replace init test with execution in composio unit test suite

remove dotenv from validate_cloud

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* fix: prevent autofix workflow loop from bot commits (#10673)

fix(ci): prevent autofix workflow loop from bot commits

* fix(lfx-dev): reload specific modules while preserving index cache (#10629)

* fix(lfx-dev): reload specific modules while preserving index cache

* refactor: restructure component loading with strategy pattern for dev mode

* fix: improve cache loading error handling in component index loading

* refactor: reorganize CUGA and ALTK components into single-element bundles (#10671)

* moved cuga and altk

* reverted starter templates

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* updated import

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* revert starter templates

* fixed some python tests

* fix: update import assertions for backward compatibility in dynamic import tests

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* fix: update import paths for set_advanced_true and get_parent_agent_inputs in test_helper_functions

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* feat: fix cuga component with new release (#10646)

* bufix(cuga_agent): fixed no output chat bug

* fix: remove structured output feature

* fix: stablize component

* fix: chat output component not working

* fix: add strategy flag

* fix: update cuga version

* feat: add component index

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* update some imports to use lfx

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* fix: update review

* chore: build component index

* chore: build component

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* fix(cuga): ensure message id exists when not connected to output

* fix: component result id on chat output

* chore: fix component index

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* Revert test_agent_component.py back to origin/main

* fix: remove unwanted tests

* chore: new build index

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* fix: update test

* chore: build index

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* fix: update package of cuga

* chore: build component index

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* update comp index

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* trying comp index again?

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* fix: Add IBM watsonx.ai support to EmbeddingModel (#10677)

* Add IBM watsonx.ai support to EmbeddingModel

Added IBM watsonx.ai as a supported provider in EmbeddingModelComponent, updated dependencies and code to integrate ibm_watsonx_ai and pydantic. Updated starter project and component index metadata to reflect new dependencies and code changes.

* update watsonx default models

* update index

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* Update test_embedding_model_component.py

* Update component_index.json

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* fix: rename LLM router to LLM selector (#10650)

* fix: rename LLM router to LLM selector

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* fix: rename LLMRouter component to LLMSelector

* fix: resolved merge conflicts

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* fix: resolved merge conflicts

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* fix: refactor file name

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* fix: resolve merge conflict

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* fix: resolve merge conflict

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* Fix: add environment variable flag to log alembic to stdout (#10620)

* fix: add flag to log alembic to stdout

fix indentation

refine docs

mypy (db service.py)

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* fix: move sql database to data source category (#10651)

* fix: move sql database to data source category

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* fix: resolve merge conflict

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* fix: fixes YouTube Icon name in lazyloadingMapping (#10628)

* fix lazyloadingMapping component name

* fix: merge conflicts

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* fix: resolve merge conflict

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* Fix: rename sidebar category flow controls to flow control (#10649)

* rename sidebar category flow controls to flow control

* fix: addressed PR comments

* fix: expose logger functions at module level for backwards comp (#10670)

* Expose logger functions at module level for backwards comp

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* feat: agentic UX (#10567)

* Add empty __init__.py files for agentic modules

Created empty __init__.py files in agentic, core, tools, and utils directories to initialize them as Python packages.

* Add agentic template search utilities and tests

Introduces a new agentic utilities module for Langflow, including template search, tag extraction, and template count functions. Adds a README, demo script, and comprehensive unit tests for template search functionality.

* Add Langflow Agentic MCP server with FastMCP tools

Introduces a new MCP (Model Context Protocol) server for Langflow agentic tools using FastMCP. Adds server, CLI, example usage, tests, and comprehensive documentation. Exposes four MCP tools: search_templates, get_template, list_all_tags, and count_templates, enabling AI assistants to query and filter Langflow templates programmatically.

* Handle unparameterized list types in schema inputs

Adds support for unparameterized list annotations by treating them as lists of strings when converting schemas to Langflow inputs. This ensures nullable array schemas without explicit item types are handled gracefully.

* Refactor search_templates to simplify parameters

Removed the 'tags' parameter from the search_templates function and set a default value for 'fields'. Updated the call to list_templates to match the new signature, streamlining template search functionality.

* Add output item processing for tool results

Introduced process_output_item to handle tool output items, attempting to parse text-type items as JSON. This improves downstream handling of tool outputs by converting JSON strings to dictionaries when possible.

* Refactor knowledge base path initialization

Replaces direct settings access with a lazy-loading function for the knowledge bases root path in Knowledge Ingestion and Knowledge Retrieval starter projects. This improves reliability and consistency when accessing the knowledge base directory, and updates all usages to the new helper function.

* Update component_index.json

* Add IBM watsonx.ai support to starter projects

Introduces IBM watsonx.ai as a selectable model provider in multiple starter project JSONs. Adds new input fields for 'base_url', 'project_id', and 'max_output_tokens' to support IBM watsonx.ai integration. Updates agent component code to handle new provider and its required parameters.

* Add Ollama to supported LLM providers in starter projects

Ollama has been added as a supported provider alongside Anthropic, Google Generative AI, OpenAI, and IBM watsonx.ai in all starter project JSON files. This expands the available options for LLM integration in initial setup templates.

* Update Ollama model input constants and logic

Refactored model_input_constants.py to update the OLLAMA_MODEL_INPUTS and OLLAMA_MODEL_INPUTS_MAP. Modified ollama.py to use the new input mapping and improved input handling for Ollama components.

* Add flow creation from template MCP tool

Introduces a new MCP tool for creating flows from starter templates in Langflow Agentic. Adds the utility function `create_flow_from_template_and_get_link` and exposes it via the FastMCP server, allowing users to create flows by template id and receive a UI link. Updates imports and documentation accordingly.

* Add component search utilities and MCP tools to server

Introduces new component search and retrieval tools to the MCP server, including endpoints for searching, listing, and counting components. Adds support functions in support.py for data normalization and a new component_search.py utility module. Updates the Nvidia Remix starter project to use the latest MCPToolsComponent code.

* Add flow graph visualization utilities

Introduces async utility functions for generating ASCII and text representations of flow graphs, as well as metadata summaries. These utilities support fetching flows by ID or name, error handling, and integration with Langflow's graph and logging modules.

* Add flow component operations utilities and MCP tools

Introduces flow component management utilities in `flow_component.py` for retrieving, updating, and listing component field values. Exposes new MCP tools in `server.py` for accessing component details, field values, updating fields, and listing all fields within a flow component.

* Add SystemMessageGen flow and update MCPTools

Introduces SystemMessageGen.json flow for agentic system message generation and updates MCPTools component logic in flow_component.py to support new flow structure and tool handling.

* feat: init aiButton

create an aiButton that opens the prompt modal for demoing
add multiinput mixin

* Update component_index.json

* Refactor SystemMessageGen flow and remove unused init files

Updated SystemMessageGen.json to support custom instructions, OpenAI model configuration, and improved agent settings. Removed unused __init__.py files from agentic, core, tools, and utils directories to clean up the codebase.

* update to the mcp component

* Add verify_ssl option to MCPToolsComponent

Introduces a 'verify_ssl' boolean input to MCPToolsComponent for controlling SSL certificate verification in HTTPS connections. The option is added to the server config if not present, allowing users to disable verification for development or testing with self-signed certificates.

* Optimize tool dropdown handling and output processing

Improves logic for updating tool dropdown options by checking if the server has changed and whether tool mode is active, reducing unnecessary updates. Adds a process_output_item method to parse tool output as JSON when appropriate, enhancing output handling.

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* feat: init onclick assistant prompt generation

first pass at on button click generate input and auto fill a field

* Replace MCPTools with Prompt Template in SystemMessageGen flow

Updated the SystemMessageGen.json flow to use the Prompt Template and Parser components instead of MCPTools. Adjusted edges, nodes, and component configurations to reflect the new prompt-based workflow, removing tool selection and execution logic in favor of prompt generation and parsing.

* Update SystemMessageGen flow and frontend dependencies

Refactored edge connections and metadata in SystemMessageGen.json to improve flow logic and updated endpoint name. Added new optional and peer dependencies to package-lock.json, including @mapbox/node-pre-gyp and related packages, to support canvas and other modules.

* Update user authentication in simplified_run_flow endpoint

Replaces the dependency on api_key_security with CurrentActiveUser for the api_key_user parameter in the simplified_run_flow endpoint. This change is part of a TODO to create a new endpoint and may affect how user authentication is handled.

* feat: hook everything up and have onclick prompt

hook up commit

* Add auto-configuration for Agentic MCP server

Introduces utilities and startup logic to automatically configure the Langflow Agentic MCP server for all users when the agentic experience is enabled. Adds a new settings flag `agentic_experience` to control this feature, and updates the main server startup to trigger configuration. This enables agentic tools for flow/component operations, template search, and graph visualization in MCP clients.

* Enable agentic MCP server and improve initialization

Set agentic_experience to True by default in settings. Refactor agentic MCP server initialization in main.py to run in the background with a delay and retry logic, improving startup reliability. Update function calls to use 'current_user' instead of 'user' in agentic_mcp.py for consistency.

* Update user authentication in simplified_run_flow

Modified the api_key_user parameter to accept either CurrentActiveUser or UserRead from api_key_security, supporting both Bearer and session authentication methods.

* revert the apikeu_user changes

* test new api endpoint

* Refactor agent flow and update component inputs

Updated SystemMessageGen.json to refactor edge connections and node IDs for agentic flow. Added 'base_url' as a required input, enabled 'ai_enabled' for agent description, and replaced static memory input handling with dynamic retrieval via get_base_inputs(). Also improved tool callback setup and updated code hash and last_updated metadata.

* Improve agentic flow creation and updating logic

Enhances the agentic flow setup to extract flow_id and endpoint_name from JSON, update existing flows by ID or endpoint_name, and create new flows if they don't exist. Adds detailed logging and ensures flows are up-to-date in the user's Langflow Assistant folder.

* chore: aibutton clean up

* chore: add assistant store

* Update SystemMessageGen.json

* Update agentic_mcp.py

* Update component_index.json

* Fix agent input extraction from Message objects

Agents now correctly extract and use the text content from Message objects, rather than passing the entire object or its string representation. This resolves issues where agents received verbose message representations instead of just the intended string input, and includes improved handling for multimodal content. Corresponding unit and integration tests have been added to verify this behavior for both OpenAI and Anthropic agents.

* Add TemplateAssistant Langflow flow definition

Introduces TemplateAssistant.json, a comprehensive Langflow flow configuration for agentic workflows. This flow integrates AstraDB, MCP Tools, and user input/output nodes, enabling document ingestion, search, and tool orchestration within the Langflow backend.

* Improve MCPToolsComponent server/tool config refresh

Refactored MCPToolsComponent to better handle tool and server config refreshes, especially when the MCP server changes. Added logic to avoid unnecessary clearing of tool inputs and options, and improved caching and UI update behavior for tool selection. Also updated related flow and starter project JSON files to reflect these changes.

* auto add Global Variables for Agentic Experience

* chore: clean up and get button working again

* cleanup .md

* fix:ruff, Refactor agentic utils and improve error handling

Introduces shared default field lists for template/component search, refactors exception handling to use logger and add finally/else blocks, and improves type hinting with TYPE_CHECKING. Updates file opening to use Path objects, enhances error logging in template search, and removes the unused test_template_search.py file.

* fix:ruff Expand exception handling in agentic MCP utilities

Broadened exception handling in agentic MCP server and variable management functions to catch specific errors such as HTTPException, SQLAlchemyError, and common system exceptions. This improves robustness and error logging during server configuration, removal, and variable initialization.

* aka-clean-up-1

* Remove duplicate process_output_item method

Deleted two redundant definitions of the process_output_item method from MCPToolsComponent to clean up the code and prevent confusion.

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* Refactor service usage and improve project deletion logging

Refactored login API to reuse a single settings service instance. Enhanced logging and error messaging when attempting to delete the Langflow Assistant folder. Minor variable usage cleanup in agentic flows setup and agent component test.

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* Update test_template_search.py

* Handle specific exceptions in agentic flow loading

Updated the exception handling in load_agentic_flows to catch only OSError and orjson.JSONDecodeError instead of all exceptions, improving error specificity and logging.

* Update component_index.json

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* revert loading setting service

* Update login.py

* Update SystemMessageGen.json

* Update TemplateAssistant.json

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* Update constants.py

* chore: seperate templateassistant and sysmessgen

seperate templateassistant and sysmessgen frontend queries

* chore: add header feature flag

* use feature flag for all ui

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* package-lcok update

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* chore: LANGFLOW_AGENTIC_EXPERIENCE fe ff name

* Update login.py

* lint fix

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* Update component_index.json

* chore: fix adjust-screan-view click

* chore: same force issue as adjust-screen-view

* chore: playwright pass 2

* revert package-lock

* add type to langflow_modules

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* Handle TypeError in class-based serialization

Adds a try-except block to catch TypeError when checking issubclass for objects that are types but not proper classes, such as typing special forms. This prevents serialization errors for generic aliases and similar constructs.

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* Refactor type handling in field update and serialization

Changed 'new_value' parameter type to str in update_flow_component_field for stricter typing. Simplified exception handling in serialize by removing unnecessary try/except around issubclass checks for class-based Pydantic types.

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* ci: bump actions/checkout to v6 (#10697)

* feat: Improve OAuth error handling and frontend sync behavior (#10626)

* updates for version comp

* migrate mcp composer fix to main

* migrate mcp composer fix to main

* version constraints

* go back to pydantic 2.11

* remove logging

* directly pin to new version

* add instant feedback on error

* improve callback function behavior ux

* fix tests and mypy issues

* bump mcp composer version

* fixed latest version mcp

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* revert pydantic changes

* computed models pydantic fix

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* fix: Fix TypeError when LANGFLOW_ENABLE_LOG_RETRIEVAL is enabled (#10681)

* fix serialize issue when LANGFLOW_ENABLE_LOG_RETRIEVAL is true

* add logger tests

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* add multiple buffer checker

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* use serialize instead

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* docs: update component documentation links to individual pages

* Revert "docs: update component documentation links to individual pages"

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* test: catch import errors upfront (#10632)

* Convert to async and ruff-friendly print

* Implement the checking into existing test file itself

* Remove the newly introduced lfx test which is now incorporated into existing tests

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* Run make build_component_index after merging latest from main

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* Revert "docs: update component documentation links to individual pages"

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* build component index after origin/main merge into feature branch

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* feat: Support appending files when saving (#10631)

* feat: Support appending files when saving

* Update save_file.py

* Update News Aggregator.json

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* Overwrite existing file if append mode is true

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* Update test_mcp_servers_file.py

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* chore: Update pip and setuptools version constraints (#10708)

* update setuptools and pip

* remove from lfx pypoetry

* feat: Display node name in download error message (#10707)

add component name on download error

* feat: Add Message Support for Input of Loop Component (#10160)

* feat: Add support for messages in Loop Component

* feat: Add Message support for input of Loop Component

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* Update src/frontend/src/utils/reactflowUtils.ts



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* More cleanup of looping

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* Fixes from gabriel review

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* fix: Support tool mode in File Component properly (#10520)

* Support tool mode in dynamic outputs

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* Tool mode and ruff fixes

* Template updates

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* Update test_mcp_servers_file.py

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This reverts commit 25f24d0d8aa5a7c95c913f862d86513749195ad1.

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* docs: include regex for sanitized input types (#10712)

include-regex-for-sanitized-input

* feat: Version 1.2 - comprehensive database migration guidelines using… (#10519)

* feat: Version 1.2 - comprehensive database migration guidelines using the Expand-Contract pattern

* Update src/backend/base/langflow/alembic/DB-MIGRATION-GUIDE.MD



* fix: Cleanup text and typos

* feat: Implement migration validation workflow and add migration validator scripts

* Update src/backend/base/langflow/alembic/migration_validator.py



* Update src/backend/base/langflow/alembic/migration_validator.py



* Update src/backend/base/langflow/alembic/migration_validator.py



* fix: moved the test_migrations directory to under tests

* feat: Added migration validator to pre-commit check.

* fix: improved test performance.

* fix: optimized attribute resolution in migration validator

* feat: add comprehensive tests for migration validator and guidelines

* fix: Lint is complaining about shebang declared but not being used.

* fix: Shebang reinstated.

* Update src/backend/base/langflow/alembic/DB-MIGRATION-GUIDE.MD

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lgtm This PR has been approved by a maintainer refactor Maintenance tasks and housekeeping

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