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

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fix-lfx-dev-index-reload
Nov 21, 2025
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fix(lfx-dev): reload specific modules while preserving index cache#10629
ogabrielluiz merged 3 commits into
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fix-lfx-dev-index-reload

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@ogabrielluiz ogabrielluiz commented Nov 17, 2025

This PR fixes a problem where only specific modules were being loaded when setting variables to reload specific modules (i.e. LFX_DEV=agents loaded ONLY agents instead of RELOADING only agents).

It also refactors the functions for better maintainability.

Summary by CodeRabbit

  • Refactor
    • Restructured component loading system to improve separation between development and production modes, enhancing caching and index management for better performance and maintainability.

@github-actions github-actions Bot added the community Pull Request from an external contributor label Nov 17, 2025
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Walkthrough

The component loading system in components.py was refactored to introduce a three-tier loading strategy: prebuilt index, cache fallback, and dynamic runtime loading. Five new private helper functions orchestrate these pathways, while the public import_langflow_components function was restructured to route between dev-mode and production-mode loaders, now returning telemetry-tracked loading source information.

Changes

Cohort / File(s) Change Summary
Component Loading Refactoring
src/lfx/src/lfx/interface/components.py
Added five new private loader functions: _load_from_index_or_cache (prebuilt index/cache loading), _load_components_dynamically (runtime component scanning), _load_full_dev_mode and _load_selective_dev_mode (dev-mode orchestration), _load_production_mode (production orchestration with optional caching). Restructured import_langflow_components to route through new loaders based on mode, replaced inlined loading logic with dedicated routines, and integrated telemetry via index_source signals.

Sequence Diagram(s)

sequenceDiagram
    participant API as import_langflow_components
    participant PM as Production Mode
    participant DM as Dev Mode
    participant Idx as Index/Cache Loader
    participant Dyn as Dynamic Loader
    
    API->>API: Check dev mode flag
    
    alt Production Mode
        API->>PM: _load_production_mode()
        PM->>Idx: _load_from_index_or_cache()
        Idx-->>PM: (modules_dict, index_source)
        alt index_source is None
            PM->>Dyn: _load_components_dynamically()
            Dyn-->>PM: modules_dict
        end
        PM-->>API: (modules_dict, source)
    else Dev Mode
        alt Full Dev Mode
            API->>DM: _load_full_dev_mode()
            DM->>Dyn: _load_components_dynamically()
            Dyn-->>DM: modules_dict
            DM-->>API: (modules_dict, "dev")
        else Selective Dev Mode
            API->>DM: _load_selective_dev_mode(target_modules)
            DM->>Idx: _load_from_index_or_cache()
            Idx-->>DM: (base_modules, source)
            DM->>Dyn: _load_components_dynamically(target_modules)
            Dyn-->>DM: updated_modules
            DM-->>API: (merged_dict, "dev")
        end
    end
    
    API->>API: Emit telemetry with index_source
    API-->>API: Return modules_dict
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Areas requiring extra attention:

  • Logic flow integration: Verify that the three-tier loading strategy (index → cache → dynamic) is correctly orchestrated across _load_production_mode and the dev-mode variants, ensuring no components are lost or duplicated during fallback transitions.
  • Telemetry tracking: Confirm that the new index_source signal accurately reflects the loading source ("builtin", "cache", or None) and is properly threaded through both dev and production pathways.
  • Dev mode module merging: In _load_selective_dev_mode, validate that merging index-derived components with dynamically reloaded target modules doesn't introduce conflicts or overwrite intended behavior.
  • Dynamic loader filtering: Ensure _load_components_dynamically correctly respects the optional target_modules filter for selective reloading scenarios.

Possibly related PRs

Suggested labels

bug, lgtm

Suggested reviewers

  • jordanrfrazier
  • edwinjosechittilappilly
  • Adam-Aghili

Pre-merge checks and finishing touches

Important

Pre-merge checks failed

Please resolve all errors before merging. Addressing warnings is optional.

❌ Failed checks (1 warning, 3 inconclusive)
Check name Status Explanation Resolution
Test Quality And Coverage ⚠️ Warning New implementations lack comprehensive test coverage with no test files found in repository and no tests added for the six new functions handling complex dev/production mode switching and dynamic module loading. Add pytest test files covering each new function's success/failure scenarios, dev/production mode orchestration, cache validation, module filtering, and error handling paths.
Test Coverage For New Implementations ❓ Inconclusive Assessment cannot be completed due to infrastructure limitations preventing repository access and verification of test file coverage for new functions. Provide direct access to test/implementation files, git diff, or confirm test file locations for analysis.
Test File Naming And Structure ❓ Inconclusive Cannot verify test file naming and structure due to repository connection failures preventing examination of test files for the modified loading functions. Provide direct access to test files or manually verify: test files follow naming convention test_*.py, test functions have descriptive names, tests cover positive and negative scenarios, and tests validate index_source return values and cache behavior.
Excessive Mock Usage Warning ❓ Inconclusive The custom check for excessive mock usage requires examining test files, but the PR summary does not indicate that test files were modified or included in this pull request. Provide information about which test files were added/modified or confirm no test files were changed to properly evaluate mock usage patterns.
✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title accurately describes the main change: refactoring to enable selective module reloading while preserving the index cache, which matches the PR's core objective.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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@github-actions github-actions Bot added bug Something isn't working and removed bug Something isn't working labels Nov 17, 2025
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Actionable comments posted: 0

🧹 Nitpick comments (2)
src/lfx/src/lfx/interface/components.py (2)

259-309: Index/cache loader extraction looks correct; consider exposing more precise index_source if needed

The new _load_from_index_or_cache cleanly encapsulates index vs cache loading and returns stable ("builtin" | "cache" | None) markers, which makes the higher-level strategy code easier to follow. One optional improvement: you currently always return "builtin" even when a custom components_index_path is used (URL or file). If you ever need telemetry or debugging to distinguish built‑in vs custom index sources, consider returning a more granular index_source (e.g. "builtin" | "custom" | "cache") while keeping the log message unchanged.


418-445: Production fallback chain is clear; optional note about sync cache writes in async path

The production loader correctly implements the index → cache → dynamic + cache-save strategy and always returns a non‑None index_source ("builtin" | "cache" | "dynamic"), which keeps _send_telemetry simple. The only potential follow‑up is that _save_generated_index performs synchronous disk I/O and version lookup inside this async code path; if index generation happens on latency‑sensitive request paths, you might eventually want to offload _save_generated_index to a thread (asyncio.to_thread) to avoid blocking the event loop.

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📒 Files selected for processing (1)
  • src/lfx/src/lfx/interface/components.py (4 hunks)
🧰 Additional context used
🧠 Learnings (3)
📓 Common learnings
Learnt from: edwinjosechittilappilly
Repo: langflow-ai/langflow PR: 0
File: :0-0
Timestamp: 2025-08-01T20:12:57.303Z
Learning: The LangFlow components system has 47 modules with identical lazy loading patterns that can be optimized using a centralized lazy loading utility, eliminating over 1,000 lines of duplicated code while maintaining backward compatibility.
Learnt from: ogabrielluiz
Repo: langflow-ai/langflow PR: 0
File: :0-0
Timestamp: 2025-06-26T19:43:18.260Z
Learning: In langflow custom components, the `module_name` parameter is now propagated through template building functions to add module metadata and code hashes to frontend nodes for better component tracking and debugging.
📚 Learning: 2025-06-26T19:43:18.260Z
Learnt from: ogabrielluiz
Repo: langflow-ai/langflow PR: 0
File: :0-0
Timestamp: 2025-06-26T19:43:18.260Z
Learning: In langflow custom components, the `module_name` parameter is now propagated through template building functions to add module metadata and code hashes to frontend nodes for better component tracking and debugging.

Applied to files:

  • src/lfx/src/lfx/interface/components.py
📚 Learning: 2025-08-01T20:12:57.303Z
Learnt from: edwinjosechittilappilly
Repo: langflow-ai/langflow PR: 0
File: :0-0
Timestamp: 2025-08-01T20:12:57.303Z
Learning: The LangFlow components system has 47 modules with identical lazy loading patterns that can be optimized using a centralized lazy loading utility, eliminating over 1,000 lines of duplicated code while maintaining backward compatibility.

Applied to files:

  • src/lfx/src/lfx/interface/components.py
🧬 Code graph analysis (1)
src/lfx/src/lfx/interface/components.py (1)
src/backend/tests/unit/api/v2/test_mcp_servers_file.py (1)
  • settings_service (96-97)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Update Component Index
🔇 Additional comments (4)
src/lfx/src/lfx/interface/components.py (4)

311-376: Selective dynamic loading by target_modules looks good; please validate naming convention

The target_modules filter that checks parts[2].lower() in target_modules is a reasonable way to narrow the scan to specific subpackages and matches the _parse_dev_mode lower‑casing behavior. However, it assumes that the values users put into LFX_DEV correspond exactly to that third path segment after lfx.components.. Given the PR goal (e.g., LFX_DEV=agents), please double‑check that your actual package layout and desired UX both line up with this convention (e.g., that the segment you care about really is parts[2] for all component modules).


378-387: Full dev mode helper is straightforward and matches intent

_load_full_dev_mode is a thin, readable wrapper around _load_components_dynamically(None) and correctly reports index_source="dynamic", which keeps import_langflow_components uncluttered and telemetry consistent.


447-481: Orchestrator cleanly separates dev vs production flows; confirm telemetry source labelling

The refactored import_langflow_components is much easier to follow: it centralizes dev/prod decision logic based on _parse_dev_mode, delegates to the appropriate loader, and then emits telemetry in one place. Two small points to confirm:

  1. In selective dev mode you always report index_source="dynamic", even though the resulting modules_dict is a mix of index/cache and dynamic reloads. If you care about distinguishing “pure dynamic” from “mixed index+dynamic”, you might want a distinct label (e.g. "dynamic_selective"); otherwise this is fine.
  2. Because _load_production_mode guarantees a non‑None index_source, _send_telemetry will never see None, which matches its current expectation of a string index source. Please keep this invariant in mind if you extend the loaders later.

Functionally, this looks aligned with the PR objective and should preserve the index cache while allowing targeted reloads via LFX_DEV.


389-416: Selective dev reload correctly preserves index‑derived modules; consider true replacement semantics

This helper appears to fix the original bug: it seeds modules_dict from the index/cache via _load_from_index_or_cache, then overlays only the selected modules from _load_components_dynamically(target_modules=…), so non‑targeted modules remain available. One nuance: using modules_dict[top_level].update(components) will keep any stale components that exist only in the index but were removed from code, rather than fully replacing that top‑level group. If you want selective reloads to reflect deletions as well as additions/updates, you may want to assign instead of update:

-    for top_level, components in dynamic_modules.items():
-        if top_level not in modules_dict:
-            modules_dict[top_level] = {}
-        modules_dict[top_level].update(components)
+    for top_level, components in dynamic_modules.items():
+        # Replace the entire top-level group for reloaded modules
+        modules_dict[top_level] = components

Also worth verifying that the behavior when no index/cache is available (i.e., modules_dict starts empty) is acceptable: in that case, selective dev mode effectively behaves like “dynamic only for the requested modules”.

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@ogabrielluiz

Code Review 1

  • Approved / LGTM
  • See PR comment (a)
    • This PR comment is Minor severity and can be ignored or optionally addressed

Comment thread src/lfx/src/lfx/interface/components.py Outdated
@github-actions github-actions Bot added the lgtm This PR has been approved by a maintainer label Nov 20, 2025
@ogabrielluiz ogabrielluiz added this pull request to the merge queue Nov 21, 2025
@github-actions github-actions Bot added bug Something isn't working and removed bug Something isn't working labels Nov 21, 2025
Merged via the queue into main with commit 7460ee9 Nov 21, 2025
22 of 25 checks passed
@ogabrielluiz ogabrielluiz deleted the fix-lfx-dev-index-reload branch November 21, 2025 13:32
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

* [autofix.ci] apply automated fixes

* 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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* 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

---------

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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

* Fix playground timer

* add jest unit tests

---------

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.

* [autofix.ci] apply automated fixes

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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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* [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.

---------

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

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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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* 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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---------

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

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

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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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* 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)

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: 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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* 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

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

* code-review

* link-to-security-bulletin

* Apply suggestions from code review

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

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

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

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

Co-authored-by: github-merge-queue <118344674+github-merge-queue@users.noreply.github.com>
Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>

* 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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Co-authored-by: Jordan Frazier <jordan.frazier@datastax.com>

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

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

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

* 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>
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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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* 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

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* 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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Co-authored-by: Carlos Coelho <80289056+carlosrcoelho@users.noreply.github.com>

* 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

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* 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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* use cache enabled even for the no tool mode

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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.

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* 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

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* 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

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

* 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

* [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

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* 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.

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* 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.

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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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* 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.

* [autofix.ci] apply automated fixes

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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.

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

* 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

* [autofix.ci] apply automated fixes

* 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.

---------




* 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

* [autofix.ci] apply automated fixes

* 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

* [autofix.ci] apply automated fixes

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

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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



* [autofix.ci] apply automated fixes

* More cleanup of looping

* Fix ruff errors

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* Update loop-component.spec.ts

* Make loop types generic

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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

* 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



* 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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