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Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

0 0 0 Python

feat: add support for Langchain 1.0 (#11114)

* feat: upgrade to LangChain 1.0

- langchain ~=1.2.0
- langchain-core ~=1.2.3
- langchain-community ~=0.4.1

Updated all langchain-* integration packages to versions compatible with langchain-core 1.0+.

* feat(lfx): add langchain-classic dependency for legacy agent classes

LangChain 1.0 removed AgentExecutor and related classes to langchain-classic.
This adds the dependency to maintain backward compatibility.

* refactor(lfx): update imports for LangChain 1.0 compatibility

- Move AgentExecutor, agent creators from langchain to langchain_classic
- Move AsyncCallbackHandler from langchain.callbacks to langchain_core.callbacks
- Move Chain, BaseChatMemory from langchain to langchain_classic
- Update LANGCHAIN_IMPORT_STRING for code generation

* fix(lfx): make sqlalchemy import lazy in session_scope

LangChain 1.0 no longer includes sqlalchemy as a transitive dependency.
Move the import inside the function where it's used to avoid import errors
when sqlalchemy is not installed.

* chore: update uv.lock for langchain-classic

* feat: enable nv-ingest optional dependencies for langchain 1.0

- Uncomment nv-ingest-api and nv-ingest-client, update to >=26.1.0
  (no longer has openai version conflict)
- Bump datasets from <4.0.0 to <5.0.0 to allow fsspec>=2025.5.1
  required by nv-ingest
- Update mlx-vlm TODO comment with accurate blocking reason

* chore: update nv-ingest to 26.1.1

nv-ingest 26.1.1 removes the openai dependency, resolving the
conflict with langchain-openai>=1.0.0 (which requires openai>=1.109.1).

Co-Authored-By: Claude Opus 4.5 <[email protected]>

* feat: enable mlx and mlx-vlm dependencies for langchain 1.0

opencv-python 4.13+ now supports numpy>=2, resolving the conflict
with langchain-aws>=1.0.0 (which requires numpy>=2.2 on Python 3.12+).

Co-Authored-By: Claude Opus 4.5 <[email protected]>

* style: fix import order in callback.py

Co-Authored-By: Claude Opus 4.5 <[email protected]>

* refactor: update imports to use langchain_classic for agent modules

* [autofix.ci] apply automated fixes

* fix: remove .item() calls in knowledge_bases.py

* fix(lfx): import BaseMemory from langchain_classic for langchain 1.0

* [autofix.ci] apply automated fixes

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

* refactor: update deprecated langchain imports for langchain 1.0

- langchain.callbacks.base -> langchain_core.callbacks.base
- langchain.tools -> langchain_core.tools
- langchain.schema -> langchain_core.messages/documents
- langchain.chains -> langchain_classic.chains
- langchain.retrievers -> langchain_classic.retrievers
- langchain.memory -> langchain_classic.memory
- langchain.globals -> langchain_core.globals
- langchain.docstore -> langchain_core.documents
- langchain.prompts -> langchain_core.prompts

Also simplified GoogleGenerativeAIEmbeddingsComponent to use native
langchain-google-genai 4.x which now supports output_dimensionality.

* [autofix.ci] apply automated fixes

* fix: add _to_int helper for pandas sum() compatibility across Python versions

* fix: update langfuse>=3.8.0 and fix cuga_agent.py (#11519)

* fix: update langfuse>=3.8.0 and fix cuga_agent.py

* [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: implement LangFuseTracer for langfuse v3 API compatibility and add unit tests

* fix: upgrade cuga to 0.2.9 for langchain 1.0 compatibility

* fix: improve error handling and return value in get_langchain_callback method

* fix: update package versions for compatibility and improvements

* [autofix.ci] apply automated fixes

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

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

* fix: update langwatch dependency to version 0.10.0 for compatibility

* fix: update environment variable for Langfuse host to LANGFUSE_BASE_URL

* Update dependency versions in Youtube Analysis project

- Downgraded googleapiclient from 2.188.0 to 2.154.0
- Updated langchain_core from 1.2.7 to 1.2.9
- Updated fastapi from 0.128.1 to 0.128.5
- Downgraded youtube_transcript_api from 1.2.4 to 1.2.3
- Changed langchain_core version from 1.2.7 to 0.3.81
- Cleared input_types in model selection

# Conflicts:
#	src/backend/base/langflow/initial_setup/starter_projects/Basic Prompt Chaining.json
#	src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting.json
#	src/backend/base/langflow/initial_setup/starter_projects/Blog Writer.json
#	src/backend/base/langflow/initial_setup/starter_projects/Custom Component Generator.json
#	src/backend/base/langflow/initial_setup/starter_projects/Document Q&A.json
#	src/backend/base/langflow/initial_setup/starter_projects/Financial Report Parser.json
#	src/backend/base/langflow/initial_setup/starter_projects/Hybrid Search RAG.json
#	src/backend/base/langflow/initial_setup/starter_projects/Image Sentiment Analysis.json
#	src/backend/base/langflow/initial_setup/starter_projects/Instagram Copywriter.json
#	src/backend/base/langflow/initial_setup/starter_projects/Invoice Summarizer.json
#	src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json
#	src/backend/base/langflow/initial_setup/starter_projects/Market Research.json
#	src/backend/base/langflow/initial_setup/starter_projects/Meeting Summary.json
#	src/backend/base/langflow/initial_setup/starter_projects/Memory Chatbot.json
#	src/backend/base/langflow/initial_setup/starter_projects/News Aggregator.json
#	src/backend/base/langflow/initial_setup/starter_projects/Nvidia Remix.json
#	src/backend/base/langflow/initial_setup/starter_projects/Pokédex Agent.json
#	src/backend/base/langflow/initial_setup/starter_projects/Portfolio Website Code Generator.json
#	src/backend/base/langflow/initial_setup/starter_projects/Price Deal Finder.json
#	src/backend/base/langflow/initial_setup/starter_projects/Research Agent.json
#	src/backend/base/langflow/initial_setup/starter_projects/Research Translation Loop.json
#	src/backend/base/langflow/initial_setup/starter_projects/SEO Keyword Generator.json
#	src/backend/base/langflow/initial_setup/starter_projects/SaaS Pricing.json
#	src/backend/base/langflow/initial_setup/starter_projects/Search agent.json
#	src/backend/base/langflow/initial_setup/starter_projects/Sequential Tasks Agents.json
#	src/backend/base/langflow/initial_setup/starter_projects/Simple Agent.json
#	src/backend/base/langflow/initial_setup/starter_projects/Social Media Agent.json
#	src/backend/base/langflow/initial_setup/starter_projects/Text Sentiment Analysis.json
#	src/backend/base/langflow/initial_setup/starter_projects/Travel Planning Agents.json
#	src/backend/base/langflow/initial_setup/starter_projects/Twitter Thread Generator.json
#	src/backend/base/langflow/initial_setup/starter_projects/Vector Store RAG.json
#	src/backend/base/langflow/initial_setup/starter_projects/Youtube Analysis.json

* fix: handle InvalidRequestError during session rollback

* update projects

* ⚡️ Speed up method `LangFuseTracer.end` by 141% in PR #11114 (`feat/langchain-1.0`) (#11682)

Optimize LangFuseTracer.end 


The optimized code achieves a **140% speedup** (8.23ms → 3.42ms) through two complementary optimizations:

## 1. Fast-path for Common Primitives in `serialize()`

**What changed:** Added an early-exit check that returns immutable primitives (`str`, `int`, `float`, `bool`) directly when no truncation or special handling is needed:

```python
if max_length is None and max_items is None and not to_str:
    if isinstance(obj, (str, int, float, bool)):
        return obj
```

**Why it's faster:** 
- The profiler shows `_serialize_dispatcher()` consumed **81.5% of runtime** in the original code (40.4ms out of 49.6ms)
- This optimization reduced dispatcher calls from **8,040 to 1,013** (~87% reduction), as primitives now bypass the expensive pattern-matching dispatcher entirely
- The fast-path check itself is extremely cheap: just two quick conditionals and an `isinstance()` check against a tuple of built-in types

**When it helps:** This optimization is particularly effective for workloads with many primitive values in dictionaries and lists—which is exactly what the tracing use case provides (metadata dicts with strings, numbers, booleans).

## 2. Eliminate Redundant Serialization in `LangFuseTracer.end()`

**What changed:** Serialize `inputs`, `outputs`, and `metadata` once each, then reuse the results:

```python
inputs_ser = serialize(inputs)
outputs_ser = serialize(outputs)
metadata_ser = serialize(metadata) if metadata else None
```

**Why it's faster:**
- The original code called `serialize()` **6 times total** (3 for `.update()` + 3 for `.update_trace()`)
- The optimized version calls it **3 times**, then passes the cached results
- Profiler shows the time spent in `serialize()` calls dropped from **72.2ms to 31.2ms** (~57% reduction)
- This is pure elimination of redundant work—the same dictionaries were being serialized twice with identical results

**Impact on workloads:** The `test_end_multiple_iterations_calls_end_each_time` test (500 iterations) demonstrates this matters in hot paths. If `LangFuseTracer.end()` is called frequently during flow execution, avoiding duplicate serialization provides compounding benefits.

## Combined Effect

Both optimizations target the serialization bottleneck from different angles:
- The fast-path reduces the cost of *each* serialize call by ~75% for primitive-heavy data
- The caching reduces the *number* of serialize calls by 50%

Together, they deliver the observed 140% speedup, with the optimization being especially effective for the common case of metadata dictionaries containing mostly primitive types.

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

* refactor: reorder imports and simplify serialization logic for primitives

* [autofix.ci] apply automated fixes

* fix: update google dependency version to 0.4.0 in component_index.json

* [autofix.ci] apply automated fixes

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

* fix: pin z3-solver<4.15.7 to restore Linux wheels for Docker build

z3-solver 4.15.7 dropped manylinux wheels, causing the Docker build to
fail when trying to compile from source. Temporary pin until codeflash
is removed.

* [autofix.ci] apply automated fixes

* fix: update google dependency version to 0.4.0

* [autofix.ci] apply automated fixes

* fix: update langchain_core version to 1.2.17 in multiple starter project JSON files

* [autofix.ci] apply automated fixes

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

* fix: update deprecated langchain imports to langchain_classic for 1.0 compatibility

* fix: align langchain-chroma version in optional chroma dependency group

* fix: nightly now properly gets 1.9.0 branch (#12215)

before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail
now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$'

* docs: add search icon (#12216)

add-back-svg

* [autofix.ci] apply automated fixes

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

* feat: fall back to langchain_classic for pre-1.0 imports in user components

Old flows using removed langchain imports (e.g. langchain.memory,
langchain.schema, langchain.chains) now resolve via langchain_classic
at two levels: module-level for entirely removed modules, and
attribute-level for removed attributes in modules that still exist
in langchain 1.0. New langchain 1.0 imports are never affected since
fallbacks only trigger on import failure.

* urllib parse module import bug

* Update component_index.json

* [autofix.ci] apply automated fixes

* chore: rebuild component index

* [autofix.ci] apply automated fixes

---------

Co-authored-by: Claude Opus 4.5 <[email protected]>
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
Co-authored-by: Harold Ship <[email protected]>
Co-authored-by: codeflash-ai[bot] <148906541+codeflash-ai[bot]@users.noreply.github.com>
Co-authored-by: Adam-Aghili <[email protected]>
Co-authored-by: Mendon Kissling <[email protected]>
Co-authored-by: Eric Hare <[email protected]>
G
Gabriel Luiz Freitas Almeida committed
7d4ffbcbf5a86843c15daf5faade974a5fe15f9d
Parent: ac05f1e
Committed by GitHub <[email protected]> on 3/19/2026, 6:56:10 PM