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feat: adds Component Inputs telemetry#10254

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ogabrielluiz merged 45 commits into
mainfrom
per-component-telemetry-payload
Nov 14, 2025
Merged

feat: adds Component Inputs telemetry#10254
ogabrielluiz merged 45 commits into
mainfrom
per-component-telemetry-payload

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@ogabrielluiz ogabrielluiz commented Oct 13, 2025

Summary by CodeRabbit

  • New Features
    • Enhanced telemetry with per-component run IDs and input logging, including automatic chunking for large payloads.
    • Added opt-in input tracking with safeguards that exclude sensitive fields by default.
  • Chores
    • Updated starter project dependencies (e.g., FastAPI 0.119.0, LangChain Core 0.3.79, plus select ecosystem bumps like boto3 and scrapegraph_py) for improved compatibility.
  • Tests
    • Added integration and unit tests covering telemetry input tracking, payload splitting, and serialization to ensure reliability.

ogabrielluiz and others added 16 commits October 6, 2025 16:15
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.
…tion 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.
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.
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.
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.
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.
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.
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.
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>
…g 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.
…yloads

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.
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.
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.
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.
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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Walkthrough

Adds per-component telemetry inputs collection, splitting, and dispatch. Extends telemetry schema with ComponentInputsPayload and new fields on ComponentPayload; updates service to queue chunked input events; integrates into component build flow. Introduces telemetry opt-in flags on LFX inputs and caches serialized inputs in custom components. Updates multiple starter project dependency versions. Adjusts tests and secrets baseline.

Changes

Cohort / File(s) Summary
Telemetry schema and service
src/backend/base/langflow/services/telemetry/schema.py, src/backend/base/langflow/services/telemetry/service.py
Adds MAX_TELEMETRY_URL_SIZE, extends ComponentPayload with component_id/component_run_id, introduces ComponentInputsPayload with URL-size-aware splitting and truncation, and adds TelemetryService.log_package_component_inputs to queue chunked "component_inputs" events.
Build flow integration
src/backend/base/langflow/api/build.py
Generates component_run_id per component, emits ComponentInputsPayload (when inputs available) and ComponentPayload (success/error), includes component_id and component_run_id; ensures telemetry dispatch in both success and error paths.
Tests: telemetry payloads and splitting
src/backend/tests/integration/test_exception_telemetry.py, src/backend/tests/integration/test_telemetry_splitting_integration.py, src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
Updates/extends tests for new component_id field and inputs payload; adds integration tests for service-level splitting and unit tests for payload splitting, truncation, and chunk metadata.
LFX inputs and component telemetry
src/lfx/src/lfx/inputs/input_mixin.py, src/lfx/src/lfx/inputs/inputs.py, src/lfx/src/lfx/custom/custom_component/component.py
Adds SENSITIVE_FIELD_TYPES and track_in_telemetry flag to inputs; sets defaults per input type; component caches serialized, trackable input values; provides get_telemetry_input_values and _should_track_input.
Starter projects: dependency bumps
src/backend/base/langflow/initial_setup/starter_projects/*
Updates dependency versions in multiple starter project JSONs (e.g., fastapi 0.118.0→0.119.0; several also bump langchain_core 0.3.78→0.3.79; some bump boto3/scrapegraph_py). No logic changes.
Secrets baseline
.secrets.baseline
Adds new Secret Keyword entry for src/lfx/src/lfx/inputs/input_mixin.py and updates timestamp; mirrors hashed_secret in baseline results.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  participant Client
  participant BuildAPI as Build API
  participant Component
  participant Telemetry as TelemetryService

  rect rgb(245,248,255)
  note right of BuildAPI: Start component build
  BuildAPI->>BuildAPI: Generate component_run_id
  BuildAPI->>Component: map_inputs()
  Component-->>BuildAPI: trackable inputs (optional)
  alt inputs available
    BuildAPI->>Telemetry: log_package_component_inputs(ComponentInputsPayload)
    Telemetry->>Telemetry: split_if_needed()
    loop for each chunk
      Telemetry->>Telemetry: _queue_event("component_inputs", chunk)
    end
  end
  end

  rect rgb(240,255,245)
  note right of BuildAPI: Execute component
  BuildAPI->>Component: execute()
  Component-->>BuildAPI: result
  BuildAPI->>Telemetry: _queue_event("component", ComponentPayload{success=true, componentId, componentRunId})
  end

  rect rgb(255,245,245)
  note right of BuildAPI: Error path
  BuildAPI--xComponent: execute()
  BuildAPI->>BuildAPI: generate error run_id
  opt inputs available
    BuildAPI->>Telemetry: log_package_component_inputs(ComponentInputsPayload)
  end
  BuildAPI->>Telemetry: _queue_event("component", ComponentPayload{success=false, error, componentId, componentRunId})
  end
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~30 minutes

Possibly related PRs

Suggested labels

enhancement, size:XL

Suggested reviewers

  • jordanrfrazier

Pre-merge checks and finishing touches

❌ Failed checks (1 warning, 1 inconclusive)
Check name Status Explanation Resolution
Test Quality And Coverage ⚠️ Warning I inspected the new and updated tests related to the Component Inputs telemetry feature. The PR adds focused integration tests that exercise splitting vs. non-splitting paths and unit tests that thoroughly validate the splitting algorithm, truncation behavior, URL-size accounting, and chunk metadata, including property-based coverage with Hypothesis—this goes beyond smoke testing and asserts real behavior. Tests use pytest/pytest-asyncio patterns consistent with backend practices, and there are no frontend/API endpoint changes requiring Playwright or HTTP response tests. However, prior review comments flag multiple instances in test_exception_telemetry.py where ComponentInputsPayload is constructed with JSON strings instead of dicts, which would violate the schema and undermine the splitting/serialization behavior; unless corrected in this PR branch, those tests reduce quality and may fail. Overall coverage and depth are strong, but those type mismatches must be fixed to fully meet the check’s criteria. Update test_exception_telemetry.py to pass dicts for component_inputs wherever ComponentInputsPayload is constructed, per the reviewer’s suggested diffs, and re-run tests to ensure validation and splitting logic are exercised correctly. If any async test awaits a sync method, align the call or mark appropriately; otherwise keep pytest-asyncio usage where actual awaits occur. After these fixes, the test suite should comprehensively and correctly validate the new telemetry functionality.
Test Coverage For New Implementations ❓ Inconclusive I inspected the PR’s changes and the repository to verify tests for the new telemetry inputs feature. The PR adds substantial new functionality (ComponentInputsPayload, payload splitting, service method to log inputs, schema and build integration, and input tracking on the LFX side). Corresponding tests are present: a new unit test module for splitting logic (backend/tests/unit/services/telemetry/test_component_inputs_splitting.py), a new integration test validating chunked queuing (backend/tests/integration/test_telemetry_splitting_integration.py), and updates to existing integration tests to incorporate component_id and ComponentInputsPayload cases (backend/tests/integration/test_exception_telemetry.py). Test filenames follow the project convention test_*.py and the tests meaningfully exercise the new behavior, including edge cases and property-based checks. Prior review comments flagged a type mismatch (component_inputs should be dicts, not JSON strings); based on the PR summary, tests were updated to use dicts, but without the exact file content I cannot conclusively confirm all instances were corrected. Please ensure all occurrences in backend/tests/integration/test_exception_telemetry.py pass component_inputs as dicts rather than JSON strings, matching the schema and splitting logic, particularly around the noted line ranges. If those fixes are present, this check would pass; otherwise, apply the suggested diffs from the review comments to align tests with the new payload type and re-run the suite.
✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The title concisely summarizes the main feature introduced by the changeset, namely adding telemetry support for component inputs, and uses clear, specific wording without unnecessary detail.
Docstring Coverage ✅ Passed Docstring coverage is 87.10% which is sufficient. The required threshold is 80.00%.
Test File Naming And Structure ✅ Passed I inspected the test files introduced/modified by this PR and found they follow pytest naming and structure: files are under src/backend/tests/integration and src/backend/tests/unit with test_.py names, use pytest fixtures (e.g., mock_settings_service), and contain descriptive test function names covering both positive and negative scenarios (e.g., large vs small payload splitting, error telemetry). Integration tests are clearly placed in the integration directory, and unit tests focus on payload splitting logic including edge cases like truncation and special characters. I did not find frontend Playwright tests (.test.ts/tsx), but this PR appears backend-only, so the frontend requirement is not applicable to these changes. Setup/teardown is handled via fixtures and mocks, which is consistent with pytest best practices. Overall, the backend testing structure and coverage are appropriate for the scope of this PR.
Excessive Mock Usage Warning ✅ Passed I reviewed the tests added/modified in this PR, focusing on mock usage. The new unit tests for ComponentInputsPayload splitting rely on real logic and data generation without mocks, which is appropriate. The new integration test for telemetry splitting introduces a MagicMock-based settings fixture and monkeypatches TelemetryService._queue_event to capture queued events; this is a reasonable boundary mock for external I/O and does not obscure core logic. In test_exception_telemetry, mocks are used to simulate settings/telemetry emission in error paths, but the assertions target serialization and payload composition rather than purely mocked interactions. Overall, mocks are used sparingly to isolate external dependencies (settings, queueing) while exercising real behavior; there is no excessive or misleading mock usage detected.

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@github-actions github-actions Bot added the enhancement New feature or request label Oct 13, 2025
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Actionable comments posted: 3

🧹 Nitpick comments (9)
src/backend/base/langflow/services/telemetry/service.py (1)

150-162: Split uses fixed base URL; consider actual base_url to avoid oversize/undersize chunks

Payload splitting relies on ComponentInputsPayload’s internal URL-size calc using a default base URL. If self.base_url differs, chunks may exceed (or underutilize) the limit. Consider passing/using the actual base URL in the size calculation (API change in schema) to keep behavior precise. Otherwise this method looks solid.

Would you verify that the schema’s _calculate_url_size uses the same base URL configured here?

src/lfx/src/lfx/inputs/input_mixin.py (1)

44-51: Good privacy defaults; minor typing nit

SENSITIVE_FIELD_TYPES and the opt‑in track_in_telemetry default are appropriate. Optionally annotate the constant for clearer typing:

-SENSITIVE_FIELD_TYPES = {
+SENSITIVE_FIELD_TYPES: set[FieldTypes] = {

Also applies to: 109-114

src/lfx/src/lfx/custom/custom_component/component.py (2)

532-549: Harden serialization and avoid breaking component initialization

serialize(input_.value) can raise for unusual types. Wrap to prevent init-time failures and skip un-serializable values.

-            if self._should_track_input(input_):
-                telemetry_values[input_.name] = serialize(input_.value)
+            if self._should_track_input(input_):
+                try:
+                    telemetry_values[input_.name] = serialize(input_.value)
+                except Exception:
+                    # Skip values we can't serialize for telemetry
+                    continue

920-945: Keep telemetry cache in sync when inputs change

When set_input_value updates a tracked input, also update (or remove) the cached telemetry entry so callers get current values.

             try:
                 self._inputs[name].value = value
             except Exception as e:
                 msg = f"Error setting input value for {name}: {e}"
                 raise ValueError(msg) from e
+            # Keep telemetry cache in sync
+            try:
+                input_obj = self._inputs[name]
+                if self._should_track_input(input_obj):
+                    serialized = serialize(value)
+                    if self._telemetry_input_values is None:
+                        self._telemetry_input_values = {}
+                    self._telemetry_input_values[name] = serialized
+                elif self._telemetry_input_values:
+                    self._telemetry_input_values.pop(name, None)
+            except Exception:
+                # Best-effort; ignore telemetry update errors
+                pass
             if hasattr(self._inputs[name], "load_from_db"):
                 self._inputs[name].load_from_db = False
src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py (2)

260-260: Replace magic number 2000 with MAX_TELEMETRY_URL_SIZE

Use the shared constant to avoid drift if the limit changes.

Apply this diff:

-    assert chunk_size <= 2000
+    assert chunk_size <= MAX_TELEMETRY_URL_SIZE

Also applies to: 303-303, 331-331


347-466: Optional: disable Hypothesis deadlines to prevent flakiness

These property tests do repeated httpx/orjson work; add settings(deadline=None) (and optionally tune max_examples) to reduce spurious DeadlineExceeded.

Example:

from hypothesis import settings

@settings(deadline=None)
@given(...)
def test_property_split_never_exceeds_max_size(...):
    ...
src/backend/tests/integration/test_telemetry_splitting_integration.py (1)

39-43: Assert queued path equals "component_inputs"

Strengthen the test by asserting the path value for each queued event.

Apply this diff:

     for event in queued_events:
         assert isinstance(event, tuple)
         assert len(event) == 3
+        assert event[2] == "component_inputs"
src/backend/base/langflow/api/build.py (1)

380-396: Generate component_run_id once and reuse across success/error; avoid deriving name from ID

  • Move component_run_id creation to the start of _build_vertex and reuse in all branches. This guarantees joinability of inputs/execution even for late failures.
  • Prefer a stable component name source (e.g., vertex.display_name or class/type) over vertex_id.split("-")[0].

Apply these diffs:

-            # Generate run_id for this component execution
-            component_run_id = str(uuid.uuid4())
+            # component_run_id is generated once per _build_vertex invocation (see note below)
-            # Generate run_id for this component execution (error case)
-            component_run_id = str(uuid.uuid4())
+            # Reuse the same component_run_id generated at function start

And add near the top of _build_vertex (outside the selected ranges):

# At the beginning of _build_vertex (right after locals like flow_id_str/start_time):
component_run_id = str(uuid.uuid4())
# If available, prefer a metadata-driven name, e.g.:
component_name = getattr(vertex, "name", None) or getattr(vertex, "display_name", None) or vertex_id.split("-")[0]

Also applies to: 411-439

src/backend/base/langflow/services/telemetry/schema.py (1)

101-167: Optional: factor out duplicate test‑payload construction in _truncate_value_to_fit

Both branches build nearly identical ComponentInputsPayload test objects. Extract a tiny helper to reduce duplication and speed up binary search loops slightly.

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📒 Files selected for processing (42)
  • .secrets.baseline (1 hunks)
  • src/backend/base/langflow/api/build.py (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Financial Report Parser.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Hybrid Search RAG.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Invoice Summarizer.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Market Research.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Meeting Summary.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json (4 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Research Agent.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/SEO Keyword Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Search agent.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json (5 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Social Media Agent.json (4 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json (2 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json (4 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Twitter Thread Generator.json (1 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json (3 hunks)
  • src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json (3 hunks)
  • src/backend/base/langflow/services/telemetry/schema.py (2 hunks)
  • src/backend/base/langflow/services/telemetry/service.py (2 hunks)
  • src/backend/tests/integration/test_exception_telemetry.py (5 hunks)
  • src/backend/tests/integration/test_telemetry_splitting_integration.py (1 hunks)
  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py (1 hunks)
  • src/lfx/src/lfx/custom/custom_component/component.py (4 hunks)
  • src/lfx/src/lfx/inputs/input_mixin.py (3 hunks)
  • src/lfx/src/lfx/inputs/inputs.py (11 hunks)
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{src/backend/**/*.py,tests/**/*.py,Makefile}

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Run make lint to perform linting checks on backend Python code

Files:

  • src/backend/base/langflow/services/telemetry/service.py
  • src/backend/tests/integration/test_telemetry_splitting_integration.py
  • src/backend/base/langflow/services/telemetry/schema.py
  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
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src/backend/tests/**/*.py

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When writing component tests, inherit from the appropriate base class in 'src/backend/tests/base.py' (ComponentTestBase, ComponentTestBaseWithClient, or ComponentTestBaseWithoutClient) and provide the required fixtures: 'component_class', 'default_kwargs', and 'file_names_mapping'.
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Test both sync and async code paths in backend Python tests, using '@pytest.mark.asyncio' for async tests.
Mock external dependencies appropriately in backend Python tests to isolate unit tests from external services.
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Test timeout and performance constraints in backend Python tests using 'asyncio.wait_for' and timing assertions.
Test Langflow's Messag...

Files:

  • src/backend/tests/integration/test_telemetry_splitting_integration.py
  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
  • src/backend/tests/integration/test_exception_telemetry.py
**/@(test_*.py|*.test.@(ts|tsx))

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Files:

  • src/backend/tests/integration/test_telemetry_splitting_integration.py
  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
  • src/backend/tests/integration/test_exception_telemetry.py
**/test_*.py

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**/test_*.py: Check that backend test files follow naming convention: test_.py
Backend tests should be named test_
.py and follow proper pytest structure
For async Python code, ensure proper async testing patterns (pytest) are used
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Files:

  • src/backend/tests/integration/test_telemetry_splitting_integration.py
  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
  • src/backend/tests/integration/test_exception_telemetry.py
src/backend/tests/unit/**/*.py

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  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
src/backend/**/*component*.py

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Files:

  • src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py
🧬 Code graph analysis (6)
src/backend/base/langflow/services/telemetry/service.py (1)
src/backend/base/langflow/services/telemetry/schema.py (2)
  • ComponentInputsPayload (52-262)
  • split_if_needed (168-262)
src/backend/tests/integration/test_telemetry_splitting_integration.py (2)
src/backend/base/langflow/services/telemetry/schema.py (1)
  • ComponentInputsPayload (52-262)
src/backend/base/langflow/services/telemetry/service.py (3)
  • TelemetryService (33-229)
  • _queue_event (114-117)
  • log_package_component_inputs (150-161)
src/backend/base/langflow/services/telemetry/schema.py (1)
src/lfx/src/lfx/custom/custom_component/component.py (1)
  • log (1505-1522)
src/backend/tests/unit/services/telemetry/test_component_inputs_splitting.py (1)
src/backend/base/langflow/services/telemetry/schema.py (3)
  • ComponentInputsPayload (52-262)
  • _calculate_url_size (82-99)
  • split_if_needed (168-262)
src/backend/tests/integration/test_exception_telemetry.py (3)
src/backend/base/langflow/services/telemetry/schema.py (2)
  • ComponentPayload (43-49)
  • ComponentInputsPayload (52-262)
src/lfx/src/lfx/inputs/input_mixin.py (1)
  • FieldTypes (18-39)
src/lfx/src/lfx/inputs/inputs.py (4)
  • BoolInput (418-431)
  • IntInput (346-379)
  • SecretStrInput (287-343)
  • StrInput (126-182)
src/backend/base/langflow/api/build.py (3)
src/backend/base/langflow/services/telemetry/schema.py (2)
  • ComponentInputsPayload (52-262)
  • ComponentPayload (43-49)
src/lfx/src/lfx/custom/custom_component/component.py (1)
  • get_telemetry_input_values (560-563)
src/backend/base/langflow/services/telemetry/service.py (2)
  • log_package_component_inputs (150-161)
  • log_package_component (147-148)
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🔇 Additional comments (23)
src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json (3)

300-302: Dependency bump looks good.

Incrementing langchain_core to 0.3.79 keeps this starter aligned with the rest of the PR’s ecosystem updates. No further changes needed.


766-768: Agent dependency update acknowledged.

langchain_core 0.3.79 matches the other starter updates and should keep the agent tooling consistent.


1580-1583: FastAPI bump is consistent.

Moving to FastAPI 0.119.0 aligns this starter project with the upgraded baseline elsewhere in the PR.

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

381-382: Version bump looks consistent.

The FastAPI and langchain_core updates align with the broader dependency refresh—no issues spotted here.

Also applies to: 1198-1199

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

714-714: Starter template dependency bump looks good.

The updated fastapi and langchain_core versions align with the telemetry work in this PR. ✅

Also applies to: 1858-1858

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

487-488: fastapi 0.119.0 bump looks good

Nice to see the starter project tracking the latest FastAPI release; no issues spotted with this metadata tweak.


1625-1626: langchain_core version alignment

Thanks for keeping every agent entry in sync at 0.3.79—helps prevent mismatched starter dependencies.

Also applies to: 2266-2267, 2908-2909

src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json (1)

244-245: fastapi bump acknowledged

Version pin updated to 0.119.0 here as well—looks consistent with the other starter JSON.

src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json (1)

413-415: FastAPI bump LGTM.

The template’s dependency metadata now points to FastAPI 0.119.0; nothing else changed and this aligns with the broader dependency sweep. Looks good.

src/backend/base/langflow/initial_setup/starter_projects/Market Research.json (1)

464-466: Version updates look consistent.

Both FastAPI 0.119.0 and langchain_core 0.3.79 align with the repo-wide bump; no other metadata shifts observed. All good.

Also applies to: 1506-1510

src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json (1)

2195-2204: FastAPI bump aligns with the starter upgrades.

The dependency metadata now points at FastAPI 0.119.0, matching the repo-wide starter updates mentioned in the PR. No blockers spotted.

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

160-161: Dependency bumps look good.

The langchain_core and fastapi version bumps are consistent with the wider telemetry changes and align with the rest of the PR. No issues spotted.

Also applies to: 391-392, 960-961, 1250-1251

src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json (2)

1048-1054: Dependency bump looks good.

fastapi → 0.119.0 keeps us on the latest patch without known incompatibilities for this template. ✅


3444-3450: Nice keeping langchain_core current.

Updating to 0.3.79 aligns the starter with the latest langchain releases and should be safe here.

.secrets.baseline (1)

1403-1415: Confirm new baseline entry is a false positive.

Please double-check that the value flagged at src/lfx/src/lfx/inputs/input_mixin.py Line 21 is truly non-sensitive before locking it into the baseline. If it’s intentional, consider adding an inline allowlist pragma (or similar) near the source so we don’t have to maintain it here.

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json (1)

621-621: Version bump LGTM.

fastapi 0.119.0 is already used elsewhere in this PR; keeping the starter project in sync makes sense.

src/backend/base/langflow/initial_setup/starter_projects/Search agent.json (3)

115-115: scrapegraph_py bump looks good.

Aligning the template with 1.34.0 keeps us current with ScrapeGraph’s API fixes.


556-556: FastAPI version update approved.

0.119.0 matches the rest of the templates, so this keeps dependencies consistent.


905-905: langchain_core patch bump works for me.

Moving to 0.3.79 tracks the upstream fixes without breaking changes.

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json (1)

573-573: FastAPI patch upgrade acknowledged.

Keeping this starter on 0.119.0 preserves parity with the other templates.

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

1630-1631: Version bumps look fine; please confirm runtime compatibility

  • fastapi 0.118.0 → 0.119.0
  • langchain_core 0.3.78 → 0.3.79

These are minor updates; LGTM. Please confirm starter flow still runs end-to-end with these versions in your environment.

Also applies to: 2538-2539

src/lfx/src/lfx/inputs/inputs.py (1)

285-285: Per-input telemetry flags align with privacy goals

Sensitive types are opted out; safe numeric/boolean/UI types are opted in. LGTM.

Also applies to: 302-302, 357-357, 393-393, 431-431, 497-497, 509-509, 524-524, 570-570, 632-632, 647-647

src/backend/base/langflow/services/telemetry/schema.py (1)

82-100: Ensure encoding used for size calculation matches actual send logic

_split_if_needed uses _calculate_url_size which JSON‑encodes componentInputs, but TelemetryService.send_telemetry_data appears to pass model_dump(...) directly as params. This mismatch can cause chunks to exceed the real URL size at runtime.

Please align behaviors by JSON‑encoding componentInputs at send time, or by adding a model_serializer/params builder on ComponentInputsPayload that ensures consistent encoding across both sizing and sending. Example change (in TelemetryService.send_telemetry_data):

params = payload.model_dump(by_alias=True, exclude_none=True, exclude_unset=True)
if "componentInputs" in params and isinstance(params["componentInputs"], dict):
    import orjson
    params["componentInputs"] = orjson.dumps(params["componentInputs"]).decode("utf-8")
await self.client.get(url, params=params)

Comment on lines +210 to 234
def test_component_inputs_payload_creation_and_serialization(self):
"""Test ComponentInputsPayload creation and serialization."""
from langflow.services.telemetry.schema import ComponentInputsPayload

payload = ComponentInputsPayload(
component_run_id="run-abc-123",
component_id="OpenAIModel-xyz789",
component_name="OpenAIModel",
component_inputs='{"temperature":0.7,"model":"gpt-4"}',
)

assert payload.component_run_id == "run-abc-123"
assert payload.component_id == "OpenAIModel-xyz789"
assert payload.component_name == "OpenAIModel"
assert payload.component_inputs == '{"temperature":0.7,"model":"gpt-4"}'

serialized = payload.model_dump(by_alias=True)
expected = {
"componentRunId": "run-abc-123",
"componentId": "OpenAIModel-xyz789",
"componentName": "OpenAIModel",
"componentInputs": '{"temperature":0.7,"model":"gpt-4"}',
"clientType": None,
}
assert serialized == expected
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⚠️ Potential issue | 🔴 Critical

Fix type mismatch: component_inputs must be a dict, not JSON string

Schema defines component_inputs: dict[str, Any]. Passing a JSON string will fail validation and also diverges from splitting/encoding logic.

Apply this diff:

-        payload = ComponentInputsPayload(
-            component_run_id="run-abc-123",
-            component_id="OpenAIModel-xyz789",
-            component_name="OpenAIModel",
-            component_inputs='{"temperature":0.7,"model":"gpt-4"}',
-        )
+        payload = ComponentInputsPayload(
+            component_run_id="run-abc-123",
+            component_id="OpenAIModel-xyz789",
+            component_name="OpenAIModel",
+            component_inputs={"temperature": 0.7, "model": "gpt-4"},
+        )
@@
-        expected = {
+        expected = {
             "componentRunId": "run-abc-123",
             "componentId": "OpenAIModel-xyz789",
             "componentName": "OpenAIModel",
-            "componentInputs": '{"temperature":0.7,"model":"gpt-4"}',
+            "componentInputs": {"temperature": 0.7, "model": "gpt-4"},
             "clientType": None,
         }

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
In src/backend/tests/integration/test_exception_telemetry.py around lines 210 to
234, the test passes component_inputs as a JSON string but the schema defines
component_inputs as dict[str, Any]; change the payload creation to pass a Python
dict (e.g. {"temperature": 0.7, "model": "gpt-4"}) instead of the JSON string,
update the inline assertion that checks payload.component_inputs to expect the
dict, and update the expected serialized dict to have componentInputs set to
that dict (not a JSON string) so the model_dump(by_alias=True) comparison
matches the schema.

Comment on lines +575 to +591
run_id = "run-xyz-789"

# First component
payload1 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component1-abc",
component_name="Component1",
component_inputs='{"input1":"value1"}',
)

# Second component with same run_id
payload2 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component2-def",
component_name="Component2",
component_inputs='{"input2":"value2"}',
)
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⚠️ Potential issue | 🔴 Critical

Fix type mismatch in multi‑payload run: use dicts for component_inputs

Both payloads should pass dicts to match schema and splitting behavior.

Apply this diff:

         payload1 = ComponentInputsPayload(
             component_run_id=run_id,
             component_id="Component1-abc",
             component_name="Component1",
-            component_inputs='{"input1":"value1"}',
+            component_inputs={"input1": "value1"},
         )
@@
         payload2 = ComponentInputsPayload(
             component_run_id=run_id,
             component_id="Component2-def",
             component_name="Component2",
-            component_inputs='{"input2":"value2"}',
+            component_inputs={"input2": "value2"},
         )
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
run_id = "run-xyz-789"
# First component
payload1 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component1-abc",
component_name="Component1",
component_inputs='{"input1":"value1"}',
)
# Second component with same run_id
payload2 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component2-def",
component_name="Component2",
component_inputs='{"input2":"value2"}',
)
run_id = "run-xyz-789"
# First component
payload1 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component1-abc",
component_name="Component1",
component_inputs={"input1": "value1"},
)
# Second component with same run_id
payload2 = ComponentInputsPayload(
component_run_id=run_id,
component_id="Component2-def",
component_name="Component2",
component_inputs={"input2": "value2"},
)
🤖 Prompt for AI Agents
In src/backend/tests/integration/test_exception_telemetry.py around lines
575-591 the ComponentInputsPayload instances pass JSON strings for
component_inputs, causing a type mismatch with the expected schema and splitting
logic; change component_inputs from JSON strings to Python dicts for both
payload1 and payload2 (e.g. component_inputs={"input1": "value1"} and
component_inputs={"input2": "value2"}) so the payloads match the schema and
splitting behavior.

Comment on lines +550 to +559
def _should_track_input(self, input_obj: InputTypes) -> bool:
"""Check if input should be tracked in telemetry."""
from lfx.inputs.input_mixin import SENSITIVE_FIELD_TYPES

# Respect opt-out flag
if not getattr(input_obj, "track_in_telemetry", True):
return False
# Auto-exclude sensitive field types
return not (hasattr(input_obj, "field_type") and input_obj.field_type in SENSITIVE_FIELD_TYPES)

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⚠️ Potential issue | 🟠 Major

Fix opt‑in default to avoid unintended telemetry collection

_getattr(..., True) defaults to tracking when the attribute is absent, which contradicts the documented opt‑in default and can leak values from inputs that don’t declare track_in_telemetry (e.g., fallback Input). Default should be False.

Apply:

-        # Respect opt-out flag
-        if not getattr(input_obj, "track_in_telemetry", True):
+        # Respect opt-in flag; default to False when absent
+        if not getattr(input_obj, "track_in_telemetry", False):
             return False
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def _should_track_input(self, input_obj: InputTypes) -> bool:
"""Check if input should be tracked in telemetry."""
from lfx.inputs.input_mixin import SENSITIVE_FIELD_TYPES
# Respect opt-out flag
if not getattr(input_obj, "track_in_telemetry", True):
return False
# Auto-exclude sensitive field types
return not (hasattr(input_obj, "field_type") and input_obj.field_type in SENSITIVE_FIELD_TYPES)
def _should_track_input(self, input_obj: InputTypes) -> bool:
"""Check if input should be tracked in telemetry."""
from lfx.inputs.input_mixin import SENSITIVE_FIELD_TYPES
# Respect opt-in flag; default to False when absent
if not getattr(input_obj, "track_in_telemetry", False):
return False
# Auto-exclude sensitive field types
return not (hasattr(input_obj, "field_type") and input_obj.field_type in SENSITIVE_FIELD_TYPES)
🤖 Prompt for AI Agents
In src/lfx/src/lfx/custom/custom_component/component.py around lines 550 to 559,
the getattr call currently defaults missing track_in_telemetry to True which
causes opt‑out behavior; change the default to False so inputs that don't
declare track_in_telemetry are not tracked by default. Update the check to use
getattr(input_obj, "track_in_telemetry", False) (preserving the subsequent
logic) and run related tests to ensure sensitive inputs remain excluded.

Comment thread src/backend/base/langflow/services/telemetry/schema.py Outdated
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
@codeflash-ai
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codeflash-ai Bot commented Oct 13, 2025

This PR is now faster! 🚀 Gabriel Luiz Freitas Almeida accepted my code suggestion above.

@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Oct 13, 2025
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.
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.
@github-actions github-actions Bot added the enhancement New feature or request label Nov 14, 2025
@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Nov 14, 2025
@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Nov 14, 2025
@ogabrielluiz ogabrielluiz added this pull request to the merge queue Nov 14, 2025
@github-merge-queue github-merge-queue Bot removed this pull request from the merge queue due to a conflict with the base branch Nov 14, 2025
@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Nov 14, 2025
@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Nov 14, 2025
@github-actions github-actions Bot added enhancement New feature or request and removed enhancement New feature or request labels Nov 14, 2025
@ogabrielluiz ogabrielluiz added this pull request to the merge queue Nov 14, 2025
Merged via the queue into main with commit b5a6f39 Nov 14, 2025
142 of 146 checks passed
@ogabrielluiz ogabrielluiz deleted the per-component-telemetry-payload branch November 14, 2025 19:05
andifilhohub pushed a commit to andifilhohub/langflow that referenced this pull request Nov 19, 2025
* 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.

* [autofix.ci] apply automated fixes

* 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.

* [autofix.ci] apply automated fixes

* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

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

* test: add component_id to ComponentPayload tests

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

* [autofix.ci] apply automated fixes

* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

* update starter templates

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
andifilhohub pushed a commit to andifilhohub/langflow that referenced this pull request Nov 19, 2025
* 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.

* [autofix.ci] apply automated fixes

* 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.

* [autofix.ci] apply automated fixes

* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

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

* test: add component_id to ComponentPayload tests

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

* [autofix.ci] apply automated fixes

* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

* update starter templates

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
github-merge-queue Bot pushed a commit that referenced this pull request Dec 11, 2025
…parse errors (#10508)

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

* Add ALTK Agent with tool validation and comprehensive tests

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

* [autofix.ci] apply automated fixes

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

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

* minor fix to execute_tool that was left out.

* Fixes following coderabbitai comments.

* [autofix.ci] apply automated fixes

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

* Update component_index.json

* [autofix.ci] apply automated fixes

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

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

* Add custom message to dict conversion in ValidatedTool

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

* Add Notion integration components to index

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------

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: 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

* [autofix.ci] apply automated fixes

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

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

* 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

* [autofix.ci] apply automated fixes

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

* 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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

* fix conftest config.py

* fix timezone UTC on tests

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* [autofix.ci] apply automated fixes

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

---------

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

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

* refactor: remove code from transaction model inputs

* refactor: remove code from transaction model inputs

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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

---------

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

* 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

* [autofix.ci] apply automated fixes

* fix: update test

* chore: update component index

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

---------

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

* 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.

* [autofix.ci] apply automated fixes

* 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.

* [autofix.ci] apply automated fixes

* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

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

* test: add component_id to ComponentPayload tests

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

* [autofix.ci] apply automated fixes

* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

* update starter templates

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------

Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>

* 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.

* [autofix.ci] apply automated fixes

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

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

* Update component_index.json

* [autofix.ci] apply automated fixes

* Update component_index.json

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

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

---------

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

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

* Use the proper Embeddings import for Qdrant vector store

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---------

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

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

* fix: Ensure split text test is more robust

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Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@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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* 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 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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---------

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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>

* 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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* 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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* 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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---------

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

* Add gpt-5.1 model to starter projects

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

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* Update component_index.json

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

* Use the proper Embeddings import for Qdrant vector store

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

* fix: Ensure split text test is more robust

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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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* 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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* fix: prevent UI from getting stuck when switching to cURL mode after parse errors

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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>
Co-authored-by: Cristhian Zanforlin Lousa <cristhian.lousa@gmail.com>
Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
Co-authored-by: Sami Marreed <sami.marreed@ibm.com>
Co-authored-by: Claude <noreply@anthropic.com>
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Co-authored-by: Madhavan <msmygit@users.noreply.github.com>
Co-authored-by: Madhavan <cxo@ibm.com>
Co-authored-by: Eric Hare <ericrhare@gmail.com>
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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

---------

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

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

Require active user for monitor endpoints

* refactor: Reorganize sidebar categories (#10180)

* Reorganize sidebar categories

* finishing touches

* templates

* ruff check fix

* merge fix

* filter out knowledge when ff'd off

* BE tests

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* more test fixes

* integration test fix

* Unit tests

* more test fixes

* reorg tests

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* update ui tests

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* mcp and playwright tests

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* BE test fixes

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* test fix

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

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

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

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

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

* Optimize tool dropdown handling and output processing

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

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* Update component_index.json

* Update Nvidia Remix.json

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* Update component_index.json

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* use cache enabled even for the no tool mode

* Update component_index.json

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* Update Nvidia Remix.json

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* Add Notion integration components to index

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

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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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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

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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

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

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

* feat: new release of cuga

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* fix: address review

* fix: fixed more bugs

* fix: build component index

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* fix: update test

* chore: update component index

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

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

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

* refactor: update addLegacyComponents function to improve selector checks

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

* fix playwright imports

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

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

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

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

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

* refactor(playwright): simplify legacy component toggle validation

* feat: adds Component Inputs telemetry (#10254)

* feat: Introduce telemetry tracking for sensitive field types

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

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

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

* feat: Implement telemetry input tracking and caching

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

* feat: Add logging for component input telemetry

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

* feat: Enhance telemetry logging for component execution

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

* feat: Extend telemetry payload tests and enhance serialization

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

* fix: Update default telemetry tracking behavior in BaseInputMixin

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

* fix: Update telemetry tracking defaults for input types

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

* feat: add chunk_index and total_chunks fields to ComponentInputsPayload

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

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

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

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

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

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

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

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

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

* refactor: enhance log_package_component_inputs to handle oversized payloads

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

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

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

* refactor: centralize maximum telemetry URL size constant

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

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

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

* refactor: update ComponentInputsPayload tests to use dictionary inputs

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

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

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

* test: add integration tests for telemetry service payload splitting

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

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

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

* test: enhance ComponentInputsPayload tests with additional scenarios

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

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

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

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* optimize query param encoding

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

* refactor: extract telemetry logging logic into a separate function

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

* refactor: optimize truncation logic in ComponentInputsPayload

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

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

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

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

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

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

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

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* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

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

* test: add component_id to ComponentPayload tests

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

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* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

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

* [autofix.ci] apply automated fixes

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

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

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* update starter templates

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Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>

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

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

* fix: Ensure split text test is more robust

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* docs: security notice (#10555)

* docs-security-notice

* Apply suggestions from code review

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

* code-review

* link-to-security-bulletin

* Apply suggestions from code review

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: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
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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* fix: Add IBM watsonx.ai support to EmbeddingModel (#10677)

* Add IBM watsonx.ai support to EmbeddingModel

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

* update watsonx default models

* update index

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* Update test_embedding_model_component.py

* Update component_index.json

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

* fix: rename LLM router to LLM selector

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* fix: rename LLMRouter component to LLMSelector

* fix: resolved merge conflicts

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* fix: resolved merge conflicts

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* fix: refactor file name

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* fix: resolve merge conflict

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* fix: resolve merge conflict

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

* fix: add flag to log alembic to stdout

fix indentation

refine docs

mypy (db service.py)

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

* fix: move sql database to data source category

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* fix: resolve merge conflict

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

* fix lazyloadingMapping component name

* fix: merge conflicts

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* fix: resolve merge conflict

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

* rename sidebar category flow controls to flow control

* fix: addressed PR comments

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

* Expose logger functions at module level for backwards comp

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* feat: agentic UX (#10567)

* Add empty __init__.py files for agentic modules

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

* Add agentic template search utilities and tests

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

* Add Langflow Agentic MCP server with FastMCP tools

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

* Handle unparameterized list types in schema inputs

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

* Refactor search_templates to simplify parameters

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

* Add output item processing for tool results

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

* Refactor knowledge base path initialization

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

* Update component_index.json

* Add IBM watsonx.ai support to starter projects

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

* Add Ollama to supported LLM providers in starter projects

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

* Update Ollama model input constants and logic

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

* Add flow creation from template MCP tool

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

* Add component search utilities and MCP tools to server

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

* Add flow graph visualization utilities

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

* Add flow component operations utilities and MCP tools

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

* Add SystemMessageGen flow and update MCPTools

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

* feat: init aiButton

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

* Update component_index.json

* Refactor SystemMessageGen flow and remove unused init files

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

* update to the mcp component

* Add verify_ssl option to MCPToolsComponent

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

* Optimize tool dropdown handling and output processing

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

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* feat: init onclick assistant prompt generation

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

* Replace MCPTools with Prompt Template in SystemMessageGen flow

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

* Update SystemMessageGen flow and frontend dependencies

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

* Update user authentication in simplified_run_flow endpoint

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

* feat: hook everything up and have onclick prompt

hook up commit

* Add auto-configuration for Agentic MCP server

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

* Enable agentic MCP server and improve initialization

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

* Update user authentication in simplified_run_flow

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

* revert the apikeu_user changes

* test new api endpoint

* Refactor agent flow and update component inputs

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

* Improve agentic flow creation and updating logic

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

* chore: aibutton clean up

* chore: add assistant store

* Update SystemMessageGen.json

* Update agentic_mcp.py

* Update component_index.json

* Fix agent input extraction from Message objects

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

* Add TemplateAssistant Langflow flow definition

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

* Improve MCPToolsComponent server/tool config refresh

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

* auto add Global Variables for Agentic Experience

* chore: clean up and get button working again

* cleanup .md

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

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

* fix:ruff Expand exception handling in agentic MCP utilities

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

* aka-clean-up-1

* Remove duplicate process_output_item method

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

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* Refactor service usage and improve project deletion logging

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

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* Update test_template_search.py

* Handle specific exceptions in agentic flow loading

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

* Update component_index.json

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* revert loading setting service

* Update login.py

* Update SystemMessageGen.json

* Update TemplateAssistant.json

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* Update constants.py

* chore: seperate templateassistant and sysmessgen

seperate templateassistant and sysmessgen frontend queries

* chore: add header feature flag

* use feature flag for all ui

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* package-lcok update

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* chore: LANGFLOW_AGENTIC_EXPERIENCE fe ff name

* Update login.py

* lint fix

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* Update component_index.json

* chore: fix adjust-screan-view click

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

* chore: playwright pass 2

* revert package-lock

* add type to langflow_modules

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* Handle TypeError in class-based serialization

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

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* Refactor type handling in field update and serialization

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

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

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

* updates for version comp

* migrate mcp composer fix to main

* migrate mcp composer fix to main

* version constraints

* go back to pydantic 2.11

* remove logging

* directly pin to new version

* add instant feedback on error

* improve callback function behavior ux

* fix tests and mypy issues

* bump mcp composer version

* fixed latest version mcp

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* revert pydantic changes

* computed models pydantic fix

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

* fix serialize issue when LANGFLOW_ENABLE_LOG_RETRIEVAL is true

* add logger tests

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* add multiple buffer checker

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* use serialize instead

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* docs: update component documentation links to individual pages

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

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* test: catch import errors upfront (#10632)

* Convert to async and ruff-friendly print

* Implement the checking into existing test file itself

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

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* Run make build_component_index after merging latest from main

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

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

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

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

* feat: Support appending files when saving

* Update save_file.py

* Update News Aggregator.json

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* 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

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

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* 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: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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

* [autofix.ci] apply automated fixes

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

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

* Tool mode and ruff fixes

* Template updates

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

* [autofix.ci] apply automated fixes

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

* Update test_mcp_servers_file.py

* Revert "Update test_mcp_servers_file.py"

This reverts commit 25f24d0d8aa5a7c95c913f862d86513749195ad1.

* [autofix.ci] apply automated fixes

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

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

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

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

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

* fix: moved the test_migrations directory to under tests

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

* fix: improved test performance.

* fix: optimized attribute resolution in migration validator

* feat: add comprehensive tests for migration validator and guidelines

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

* fix: Shebang reinstated.

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

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

* Improve README Quickstart section and reorganize installation options

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

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

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



* Add dark mode logo support

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

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



* Final README improvements

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

* Improve Desktop download section messaging

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

* Revise README for Langflow Desktop and deployment info

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

* Revert star gif to GitHub attachment URL

Testing if local file path issue or markdown previewer issue

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* Apply suggestion from @mendonk

* readme-changes

* Apply suggestion from @mendonk

---------





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

Require active user for monitor endpoints

* refactor: Reorganize sidebar categories (#10180)

* Reorganize sidebar categories

* finishing touches

* templates

* ruff check fix

* merge fix

* filter out knowledge when ff'd off

* BE tests

* [autofix.ci] apply automated fixes

* more test fixes

* integration test fix

* Unit tests

* more test fixes

* reorg tests

* [autofix.ci] apply automated fixes

* update ui tests

* [autofix.ci] apply automated fixes

* 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

* [autofix.ci] apply automated fixes

* 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

---------



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

* Update component_index.json

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

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

* [autofix.ci] apply automated fixes

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

* Add Notion integration components to index

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

* [autofix.ci] apply automated fixes

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

* 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.

---------




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

add browser support to rehype package build

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

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* feat: add Composio Components & logos tweak

* Display name consistency

* update init

* fix: format

* fix: suggested changes by Mike

* updates components JSON

* fix: format

* updates components JSON

* Remove unnecessary blank lines in __init__.py

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

* Update component_index.json

* Update component_index.json

* Update component_index.json

* Update component_index.json

* fix: Slack component issue

* fix: icons update to support dark theme

* fix: Klaviyo imports

* Update component_index.json

---------



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

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

* fix: format

---------



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

fix: marked required fields with MultilineInputs



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

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



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

* Add ALTK Agent with tool validation and comprehensive tests

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

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* minor fix to execute_tool that was left out.

* Fixes following coderabbitai comments.

* [autofix.ci] apply automated fixes

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* Update component_index.json

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

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

* Add custom message to dict conversion in ValidatedTool

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

* Add Notion integration components to index

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------





* 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

* [autofix.ci] apply automated fixes

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

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

* 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

* [autofix.ci] apply automated fixes

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

* 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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

* fix conftest config.py

* fix timezone UTC on tests

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

* [autofix.ci] apply automated fixes

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

---------



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

* refactor: remove code from transaction model inputs

* refactor: remove code from transaction model inputs

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

* [autofix.ci] apply automated fixes

* [autofix.ci] apply automated fixes

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

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

---------




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

* refactor: implement lazy initialization for ServiceManager with thread safety

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

* refactor: update service manager imports to use get_service_manager

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

* refactor: remove deprecated Enhanced ServiceManager implementation

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* refactor: implement thread-safe lazy initialization for ServiceManager

* feat: add filelock dependency in lfx

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

* update component index

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

* feat: new release of cuga

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* fix: address review

* fix: fixed more bugs

* fix: build component index

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* fix: update test

* chore: update component index

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

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

* refactor: update addLegacyComponents function to improve selector checks

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

* fix playwright imports

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

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

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

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

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

* refactor(playwright): simplify legacy component toggle validation

* feat: adds Component Inputs telemetry (#10254)

* feat: Introduce telemetry tracking for sensitive field types

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

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

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

* feat: Implement telemetry input tracking and caching

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

* feat: Add logging for component input telemetry

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

* feat: Enhance telemetry logging for component execution

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

* feat: Extend telemetry payload tests and enhance serialization

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

* fix: Update default telemetry tracking behavior in BaseInputMixin

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

* fix: Update telemetry tracking defaults for input types

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

* feat: add chunk_index and total_chunks fields to ComponentInputsPayload

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

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

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

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



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

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

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

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

* refactor: enhance log_package_component_inputs to handle oversized payloads

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

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

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

* refactor: centralize maximum telemetry URL size constant

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

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

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

* refactor: update ComponentInputsPayload tests to use dictionary inputs

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

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

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

* test: add integration tests for telemetry service payload splitting

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

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

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

* test: enhance ComponentInputsPayload tests with additional scenarios

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

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

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

* [autofix.ci] apply automated fixes

* optimize query param encoding



* refactor: extract telemetry logging logic into a separate function

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

* refactor: optimize truncation logic in ComponentInputsPayload

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

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

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

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

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

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

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

* [autofix.ci] apply automated fixes

* refactor: specify type for current_chunk_inputs in ComponentInputsPayload

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

* test: add component_id to ComponentPayload tests

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

* [autofix.ci] apply automated fixes

* feat: add component_id to ComponentPayload in build_vertex function

* fix: update MAX_TELEMETRY_URL_SIZE to 2048 and adjust related tests

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

* update starter templates

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

---------





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

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

* [autofix.ci] apply automated fixes

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

---------



* 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.

* [autofix.ci] apply automated fixes

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

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

* Update component_index.json

* [autofix.ci] apply automated fixes

* Update component_index.json

* [autofix.ci] apply automated fixes

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

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

---------



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

* Use the proper Embeddings import for Qdrant vector store

* [autofix.ci] apply automated fixes

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

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

---------




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

* fix: Ensure split text test is more robust

* [autofix.ci] apply automated fixes

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

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

---------



* docs: security notice (#10555)

* docs-security-notice

* Apply suggestions from code review



* code-review

* link-to-security-bulletin

* Apply suggestions from code review



---------



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

* use issubclass in the pool creation

* [autofix.ci] apply automated fixes

* add poolclass pytests

* [autofix.ci] apply automated fixes

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

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

---------





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




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

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

* feat: Enhance graph loading functionality to support async retrieval

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

* feat: Update load_graph_from_script to support async graph retrieval

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

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

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

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

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

* feat: Refactor load_graph_from_path to support async execution

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

* feat: Enhance async handling in simple_agent and related tests

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

* docs: Implement async get_graph function for improved component initialization

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

* refactor: reorder imports in simple_agent test file

* style: reorder imports in simple_agent test file

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* update component index

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

* add custom download node

* use download node

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

* Add type check before issubclass in service discovery

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

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* docs: readme update  (#10657)

* dep-management

* are

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

* create cloud validation util file

disable local_db if in astra cloud

disable split_video if in astra cloud

disable video_file component if in astra cloud

ruff (video_file.py)

correct the error message in video_file.py

disable mem0 and composio in astra cloud

update astra disable component util fn name to be more descriptive

add tests for disabling components

minor docs patch

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

replace init test with execution in composio unit test suite

remove dotenv from validate_cloud

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

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

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

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

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

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

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

* moved cuga and altk

* reverted starter templates

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* updated import

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* revert starter templates

* fixed some python tests

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

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

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

* bufix(cuga_agent): fixed no output chat bug

* fix: remove structured output feature

* fix: stablize component

* fix: chat output component not working

* fix: add strategy flag

* fix: update cuga version

* feat: add component index

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* update some imports to use lfx

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* fix: update review

* chore: build component index

* chore: build component

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

* fix: component result id on chat output

* chore: fix component index

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* Revert test_agent_component.py back to origin/main

* fix: remove unwanted tests

* chore: new build index

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* fix: update test

* chore: build index

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* fix: update package of cuga

* chore: build component index

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* update comp index

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* trying comp index again?

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

* Add IBM watsonx.ai support to EmbeddingModel

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

* update watsonx default models

* update index

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* Update test_embedding_model_component.py

* Update component_index.json

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

* fix: rename LLM router to LLM selector

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* fix: rename LLMRouter component to LLMSelector

* fix: resolved merge conflicts

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* fix: resolved merge conflicts

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* fix: refactor file name

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* fix: resolve merge conflict

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* fix: resolve merge conflict

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

* fix: add flag to log alembic to stdout

fix indentation

refine docs

mypy (db service.py)

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

* fix: move sql database to data source category

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* fix: resolve merge conflict

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

* fix lazyloadingMapping component name

* fix: merge conflicts

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* fix: resolve merge conflict

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

* rename sidebar category flow controls to flow control

* fix: addressed PR comments

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

* Expose logger functions at module level for backwards comp

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* feat: agentic UX (#10567)

* Add empty __init__.py files for agentic modules

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

* Add agentic template search utilities and tests

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

* Add Langflow Agentic MCP server with FastMCP tools

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

* Handle unparameterized list types in schema inputs

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

* Refactor search_templates to simplify parameters

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

* Add output item processing for tool results

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

* Refactor knowledge base path initialization

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

* Update component_index.json

* Add IBM watsonx.ai support to starter projects

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

* Add Ollama to supported LLM providers in starter projects

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

* Update Ollama model input constants and logic

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

* Add flow creation from template MCP tool

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

* Add component search utilities and MCP tools to server

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

* Add flow graph visualization utilities

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

* Add flow component operations utilities and MCP tools

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

* Add SystemMessageGen flow and update MCPTools

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

* feat: init aiButton

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

* Update component_index.json

* Refactor SystemMessageGen flow and remove unused init files

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

* update to the mcp component

* Add verify_ssl option to MCPToolsComponent

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

* Optimize tool dropdown handling and output processing

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

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* feat: init onclick assistant prompt generation

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

* Replace MCPTools with Prompt Template in SystemMessageGen flow

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

* Update SystemMessageGen flow and frontend dependencies

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

* Update user authentication in simplified_run_flow endpoint

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

* feat: hook everything up and have onclick prompt

hook up commit

* Add auto-configuration for Agentic MCP server

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

* Enable agentic MCP server and improve initialization

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

* Update user authentication in simplified_run_flow

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

* revert the apikeu_user changes

* test new api endpoint

* Refactor agent flow and update component inputs

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

* Improve agentic flow creation and updating logic

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

* chore: aibutton clean up

* chore: add assistant store

* Update SystemMessageGen.json

* Update agentic_mcp.py

* Update component_index.json

* Fix agent input extraction from Message objects

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

* Add TemplateAssistant Langflow flow definition

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

* Improve MCPToolsComponent server/tool config refresh

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

* auto add Global Variables for Agentic Experience

* chore: clean up and get button working again

* cleanup .md

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

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

* fix:ruff Expand exception handling in agentic MCP utilities

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

* aka-clean-up-1

* Remove duplicate process_output_item method

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

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* Refactor service usage and improve project deletion logging

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

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* Update test_template_search.py

* Handle specific exceptions in agentic flow loading

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

* Update component_index.json

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* revert loading setting service

* Update login.py

* Update SystemMessageGen.json

* Update TemplateAssistant.json

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* Update constants.py

* chore: seperate templateassistant and sysmessgen

seperate templateassistant and sysmessgen frontend queries

* chore: add header feature flag

* use feature flag for all ui

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* package-lcok update

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* chore: LANGFLOW_AGENTIC_EXPERIENCE fe ff name

* Update login.py

* lint fix

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* Update component_index.json

* chore: fix adjust-screan-view click

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

* chore: playwright pass 2

* revert package-lock

* add type to langflow_modules

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* Handle TypeError in class-based serialization

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

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* Refactor type handling in field update and serialization

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

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

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

* updates for version comp

* migrate mcp composer fix to main

* migrate mcp composer fix to main

* version constraints

* go back to pydantic 2.11

* remove logging

* directly pin to new version

* add instant feedback on error

* improve callback function behavior ux

* fix tests and mypy issues

* bump mcp composer version

* fixed latest version mcp

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* revert pydantic changes

* computed models pydantic fix

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

* fix serialize issue when LANGFLOW_ENABLE_LOG_RETRIEVAL is true

* add logger tests

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* add multiple buffer checker

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* use serialize instead

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* docs: update component documentation links to individual pages

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

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

* test: catch import errors upfront (#10632)

* Convert to async and ruff-friendly print

* Implement the checking into existing test file itself

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

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* Run make build_component_index after merging latest from main

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

This reverts commit 1da51d4ccba9458506da6ff5b1ab7af23f09c2b6.

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

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

* feat: Support appending files when saving

* Update save_file.py

* Update News Aggregator.json

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* 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

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



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

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

* [autofix.ci] apply automated fixes

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

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

---------





* 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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