jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

Cz/fix fetch data (#1655)

Browse source
This commit is contained in:
Cristhian Zanforlin Lousa 2024-04-09 16:10:31 -03:00 • committed by GitHub
commit 77eaf09e13
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
71 changed files with 4046 additions and 4164 deletions
Download patch file Download diff file Expand all files Collapse all files

44
.github/workflows/ci.yml vendored
View file

@ -1,44 +0,0 @@
name: "Async API tests"
on:
push:
branches:
- dev
pull_request:
branches:
- dev
- main
jobs:
build-and-test:
runs-on: ubuntu-latest
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Cache Docker layers
uses: actions/cache@v4
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Set up Docker
run: docker --version && docker-compose --version
- name: "Create env file"
working-directory: ./deploy
run: |
echo "${{ secrets.ENV_FILE }}" > .env
- name: Build and start services
working-directory: ./deploy
run: docker compose up --exit-code-from tests tests result_backend broker celeryworker db --build
continue-on-error: true
# - name: Stop services
# run: docker compose down

41
.github/workflows/pre-release-base.yml vendored
View file

@ -1,26 +1,20 @@
name: Langflow Base Pre-release name: Langflow Base Pre-release
run-name: Langflow Base Pre-release by @${{ github.actor }}
on: on:
pull_request:
types:
- closed
branches:
- dev
paths:
- "src/backend/base/pyproject.toml"
workflow_dispatch: workflow_dispatch:
inputs: inputs:
force_release: release_package:
description: "Force a release" description: "Release package"
required: false required: true
default: "false" type: boolean
default: false
env: env:
POETRY_VERSION: "1.8.2" POETRY_VERSION: "1.8.2"
jobs: jobs:
if_release: if_release:
if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'pre-release') }} || ${{ github.event_name == 'workflow_dispatch' && inputs.force_release == 'true' }} if: inputs.release_package == true
runs-on: ubuntu-latest runs-on: ubuntu-latest
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
@ -50,22 +44,11 @@ jobs:
fi fi
- name: Build project for distribution - name: Build project for distribution
run: make build base=true run: make build base=true
- name: Publish to PyPI - name: Publish to PyPI
env: env:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
run: | run: |
make publish base=true make publish base=true
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
prerelease: true
tag: v${{ steps.check-version.outputs.version }}
commit: dev
- name: Set up QEMU - name: Set up QEMU
uses: docker/setup-qemu-action@v3 uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx - name: Set up Docker Buildx
@ -83,3 +66,13 @@ jobs:
file: ./build_and_push_base.Dockerfile file: ./build_and_push_base.Dockerfile
tags: | tags: |
logspace/langflow:base-${{ steps.check-version.outputs.version }} logspace/langflow:base-${{ steps.check-version.outputs.version }}
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
prerelease: true
tag: v${{ steps.check-version.outputs.version }}
commit: dev

43
.github/workflows/pre-release-langflow.yml vendored
View file

@ -1,19 +1,13 @@
name: Langflow Pre-release name: Langflow Pre-release
run-name: Langflow Pre-release by @${{ github.actor }}
on: on:
pull_request:
types:
- closed
branches:
- dev
paths:
- "pyproject.toml"
workflow_dispatch: workflow_dispatch:
inputs: inputs:
force_release: release_package:
description: "Force a release" description: "Release package"
required: false required: true
default: "false" type: boolean
default: false
workflow_run: workflow_run:
workflows: ["pre-release-base"] workflows: ["pre-release-base"]
types: [completed] types: [completed]
@ -24,7 +18,7 @@ env:
jobs: jobs:
if_release: if_release:
if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'pre-release') }} || ${{ github.event_name == 'workflow_dispatch' && inputs.force_release == 'true' }} if: inputs.release_package == true
runs-on: ubuntu-latest runs-on: ubuntu-latest
steps: steps:
- uses: actions/checkout@v4 - uses: actions/checkout@v4
@ -38,7 +32,7 @@ jobs:
- name: Check Version - name: Check Version
id: check-version id: check-version
run: | run: |
version=$(cd src/backend/base && poetry version --short) version=$(poetry version --short)
last_released_version=$(curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1) last_released_version=$(curl -s "https://pypi.org/pypi/langflow/json" | jq -r '.releases | keys | .[]' | sort -V | tail -n 1)
if [ "$version" = "$last_released_version" ]; then if [ "$version" = "$last_released_version" ]; then
echo "Version $version is already released. Skipping release." echo "Version $version is already released. Skipping release."
@ -55,16 +49,6 @@ jobs:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
run: | run: |
make publish main=true make publish main=true
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
prerelease: true
tag: v${{ steps.check-version.outputs.version }}
commit: dev
- name: Set up QEMU - name: Set up QEMU
uses: docker/setup-qemu-action@v3 uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx - name: Set up Docker Buildx
@ -83,3 +67,14 @@ jobs:
tags: | tags: |
logspace/langflow:${{ steps.check-version.outputs.version }} logspace/langflow:${{ steps.check-version.outputs.version }}
logspace/langflow:1.0-alpha logspace/langflow:1.0-alpha
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
prerelease: true
tag: v${{ steps.check-version.outputs.version }}
commit: dev

18
.github/workflows/release.yml vendored
View file

@ -31,15 +31,6 @@ jobs:
id: check-version id: check-version
run: | run: |
echo version=$(poetry version --short) >> $GITHUB_OUTPUT echo version=$(poetry version --short) >> $GITHUB_OUTPUT
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
tag: v${{ steps.check-version.outputs.version }}
commit: main
- name: Publish to PyPI - name: Publish to PyPI
env: env:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
@ -63,3 +54,12 @@ jobs:
tags: | tags: |
logspace/langflow:${{ steps.check-version.outputs.version }} logspace/langflow:${{ steps.check-version.outputs.version }}
logspace/langflow:latest logspace/langflow:latest
- name: Create Release
uses: ncipollo/release-action@v1
with:
artifacts: "dist/*"
token: ${{ secrets.GITHUB_TOKEN }}
draft: false
generateReleaseNotes: true
tag: v${{ steps.check-version.outputs.version }}
commit: main

6
CONTRIBUTING.md
View file

@ -16,12 +16,12 @@ The branch structure is as follows:
## 🚩GitHub Issues ## 🚩GitHub Issues
Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date Our [issues](https://github.com/langflow-ai/langflow/issues) page is kept up to date
with bugs, improvements, and feature requests. There is a taxonomy of labels to help with bugs, improvements, and feature requests. There is a taxonomy of labels to help
with sorting and discovery of issues of interest. with sorting and discovery of issues of interest.
If you're looking for help with your code, consider posting a question on the If you're looking for help with your code, consider posting a question on the
[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions). Please [GitHub Discussions board](https://github.com/langflow-ai/langflow/discussions). Please
understand that we won't be able to provide individual support via email. We understand that we won't be able to provide individual support via email. We
also believe that help is much more valuable if it's **shared publicly**, also believe that help is much more valuable if it's **shared publicly**,
so that more people can benefit from it. so that more people can benefit from it.
@ -40,7 +40,7 @@ so that more people can benefit from it.
## Issue labels ## Issue labels
[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of [See this page](https://github.com/langflow-ai/langflow/labels) for an overview of
the system we use to tag our issues and pull requests. the system we use to tag our issues and pull requests.
## Local development ## Local development

12
GCP_DEPLOYMENT.md
View file

@ -4,25 +4,27 @@ This guide will help you set up a Langflow development VM in a Google Cloud Plat
> **Note**: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment. > **Note**: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
## Standard VM ## Standard VM
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment. This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
<hr> <hr>
## Spot/Preemptible Instance ## Spot/Preemptible Instance
[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md) [![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts. When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts.
## Pricing (approximate) ## Pricing (approximate)
> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator) > For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator)
<br> > <br>
| Component | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes | | Component | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes |
| -------------- | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | ----- | | ------------------ | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | -------------------------------------------------------------------------- |
| 100 GB Disk | - | $10/month | - | $10/month | Disk cost remains the same for both regular and Spot/Preemptible VMs | | 100 GB Disk | - | $10/month | - | $10/month | Disk cost remains the same for both regular and Spot/Preemptible VMs |
| VM (n1-standard-4) | $0.15/hr | ~$108/month | ~$0.04/hr | ~$29/month | The VM cost can be significantly reduced using a Spot/Preemptible instance | | VM (n1-standard-4) | $0.15/hr | ~$108/month | ~$0.04/hr | ~$29/month | The VM cost can be significantly reduced using a Spot/Preemptible instance |
| **Total** | **$0.15/hr** | **~$118/month** | **~$0.04/hr** | **~$39/month** | Total costs for running the VM and disk 24/7 for an entire month | | **Total** | **$0.15/hr** | **~$118/month** | **~$0.04/hr** | **~$39/month** | Total costs for running the VM and disk 24/7 for an entire month |

12
README.md
View file

@ -1,6 +1,6 @@
<!-- markdownlint-disable MD030 --> <!-- markdownlint-disable MD030 -->
# [![Langflow](https://github.com/logspace-ai/langflow/blob/dev/docs/static/img/hero.png)](https://www.langflow.org) # [![Langflow](https://github.com/langflow-ai/langflow/blob/dev/docs/static/img/hero.png)](https://www.langflow.org)
### [Langflow](https://www.langflow.org) is a new, visual way to build, iterate and deploy AI apps. ### [Langflow](https://www.langflow.org) is a new, visual way to build, iterate and deploy AI apps.
@ -28,7 +28,7 @@ Then, run Langflow with:
python -m langflow run python -m langflow run
``` ```
You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Logspace/Langflow-Preview?duplicate=true), to create your own Langflow workspace in minutes. You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true), to create your own Langflow workspace in minutes.
# 🎨 Creating Flows # 🎨 Creating Flows
@ -96,7 +96,7 @@ Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP)
Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project. Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md) [![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy on Railway ## Deploy on Railway
@ -104,7 +104,7 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
## Deploy on Render ## Deploy on Render
<a href="https://render.com/deploy?repo=https://github.com/logspace-ai/langflow/tree/main"> <a href="https://render.com/deploy?repo=https://github.com/langflow-ai/langflow/tree/main">
<img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" /> <img src="https://render.com/images/deploy-to-render-button.svg" alt="Deploy to Render" />
</a> </a>
@ -114,11 +114,11 @@ We welcome contributions from developers of all levels to our open-source projec
--- ---
[![Star History Chart](https://api.star-history.com/svg?repos=logspace-ai/langflow&type=Timeline)](https://star-history.com/#logspace-ai/langflow&Date) [![Star History Chart](https://api.star-history.com/svg?repos=langflow-ai/langflow&type=Timeline)](https://star-history.com/#langflow-ai/langflow&Date)
# 🌟 Contributors # 🌟 Contributors
[![langflow contributors](https://contrib.rocks/image?repo=logspace-ai/langflow)](https://github.com/logspace-ai/langflow/graphs/contributors) [![langflow contributors](https://contrib.rocks/image?repo=langflow-ai/langflow)](https://github.com/langflow-ai/langflow/graphs/contributors)
# 📄 License # 📄 License

2
docs/docs/components/custom.mdx
View file

@ -37,7 +37,7 @@ The CustomComponent class serves as the foundation for creating custom component
| _`langflow.field_typing.Prompt`_ | | _`langflow.field_typing.Prompt`_ |
| _`langchain.chains.base.Chain`_ | | _`langchain.chains.base.Chain`_ |
| _`langchain.PromptTemplate`_ | | _`langchain.PromptTemplate`_ |
| _`langchain.llms.base.BaseLLM`_ | | _`from langchain.schema.language_model import BaseLanguageModel`_ |
| _`langchain.Tool`_ | | _`langchain.Tool`_ |
| _`langchain.document_loaders.base.BaseLoader`_ | | _`langchain.document_loaders.base.BaseLoader`_ |
| _`langchain.schema.Document`_ | | _`langchain.schema.Document`_ |

13
docs/docs/contributing/community.md
View file

@ -2,11 +2,11 @@
## 🤖 Join **Langflow** Discord server ## 🤖 Join **Langflow** Discord server
Join us to ask questions and showcase your projects. Join us to ask questions and showcase your projects.
Let's bring together the building blocks of AI integration! Let's bring together the building blocks of AI integration!
Langflow [Discord](https://discord.gg/EqksyE2EX9) server. Langflow [Discord](https://discord.gg/EqksyE2EX9) server.
--- ---
@ -15,9 +15,10 @@
Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**. Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.
--- ---
## ⭐️ Star **Langflow** on GitHub ## ⭐️ Star **Langflow** on GitHub
You can "star" **Langflow** in [GitHub](https://github.com/logspace-ai/langflow). You can "star" **Langflow** in [GitHub](https://github.com/langflow-ai/langflow).
By adding a star, other users will be able to find it more easily and see that it has been already useful for others. By adding a star, other users will be able to find it more easily and see that it has been already useful for others.
@ -25,12 +26,10 @@ By adding a star, other users will be able to find it more easily and see that i
## 👀 Watch the GitHub repository for releases ## 👀 Watch the GitHub repository for releases
You can "watch" **Langflow** in [GitHub](https://github.com/logspace-ai/langflow). You can "watch" **Langflow** in [GitHub](https://github.com/langflow-ai/langflow).
If you select "Watching" instead of "Releases only" you will receive notifications when someone creates a new issue or question. You can also specify that you only want to be notified about new issues, discussions, PRs, etc. If you select "Watching" instead of "Releases only" you will receive notifications when someone creates a new issue or question. You can also specify that you only want to be notified about new issues, discussions, PRs, etc.
Then you can try and help them solve those questions. Then you can try and help them solve those questions.
--- ---

7
docs/docs/contributing/github-issues.md
View file

@ -1,11 +1,11 @@
# GitHub Issues # GitHub Issues
Our [issues](https://github.com/logspace-ai/langflow/issues) page is kept up to date Our [issues](https://github.com/langflow-ai/langflow/issues) page is kept up to date
with bugs, improvements, and feature requests. There is a taxonomy of labels to help with bugs, improvements, and feature requests. There is a taxonomy of labels to help
with sorting and discovery of issues of interest. with sorting and discovery of issues of interest.
If you're looking for help with your code, consider posting a question on the If you're looking for help with your code, consider posting a question on the
[GitHub Discussions board](https://github.com/logspace-ai/langflow/discussions). Please [GitHub Discussions board](https://github.com/langflow-ai/langflow/discussions). Please
understand that we won't be able to provide individual support via email. We understand that we won't be able to provide individual support via email. We
also believe that help is much more valuable if it's **shared publicly**, also believe that help is much more valuable if it's **shared publicly**,
so that more people can benefit from it. so that more people can benefit from it.
@ -21,7 +21,6 @@ so that more people can benefit from it.
logs or tracebacks, you can wrap them in `<details>` and `</details>`. This logs or tracebacks, you can wrap them in `<details>` and `</details>`. This
[collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details) so it only becomes visible on click, making the issue easier to read and follow. [collapses the content](https://developer.mozilla.org/en/docs/Web/HTML/Element/details) so it only becomes visible on click, making the issue easier to read and follow.
## Issue labels ## Issue labels
[See this page](https://github.com/logspace-ai/langflow/labels) for an overview of the system we use to tag our issues and pull requests. [See this page](https://github.com/langflow-ai/langflow/labels) for an overview of the system we use to tag our issues and pull requests.

5
docs/docs/contributing/how-contribute.md
View file

@ -1,6 +1,6 @@
# How to contribute? # How to contribute?
👋 Hello there! We welcome contributions from developers of all levels to our open-source project on [GitHub](https://github.com/logspace-ai/langflow). If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible. 👋 Hello there! We welcome contributions from developers of all levels to our open-source project on [GitHub](https://github.com/langflow-ai/langflow). If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
As an open-source project in a rapidly developing field, we are extremely open As an open-source project in a rapidly developing field, we are extremely open
to contributions, whether in the form of a new feature, improved infra, or better documentation. to contributions, whether in the form of a new feature, improved infra, or better documentation.
@ -10,6 +10,7 @@ To contribute to this project, please follow a ["fork and pull request"](https:/
Please do not try to push directly to this repo unless you are a maintainer. Please do not try to push directly to this repo unless you are a maintainer.
--- ---
## Local development ## Local development
You can develop Langflow using docker compose, or locally. You can develop Langflow using docker compose, or locally.
@ -17,6 +18,7 @@ You can develop Langflow using docker compose, or locally.
We provide a .vscode/launch.json file for debugging the backend in VSCode, which is a lot faster than using docker compose. We provide a .vscode/launch.json file for debugging the backend in VSCode, which is a lot faster than using docker compose.
Setting up hooks: Setting up hooks:
```bash ```bash
make init make init
``` ```
@ -48,7 +50,6 @@ And the frontend:
make frontend make frontend
``` ```
--- ---
## Docker compose ## Docker compose

9
docs/docs/deployment/gcp-deployment.md
View file

@ -6,10 +6,9 @@ This guide will help you set up a Langflow development VM in a Google Cloud Plat
> Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment. > Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
## Standard VM ## Standard VM
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md)
This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment. This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment.
@ -24,11 +23,11 @@ When running as a [spot (preemptible) instance](https://cloud.google.com/compute
--- ---
## Pricing (approximate) ## Pricing (approximate)
> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator) > For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator)
| Component | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes | | Component | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes |
| -------------- | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | ----- | | ------------------ | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | -------------------------------------------------------------------------- |
| 100 GB Disk | - | $10/month | - | $10/month | Disk cost remains the same for both regular and Spot/Preemptible VMs | | 100 GB Disk | - | $10/month | - | $10/month | Disk cost remains the same for both regular and Spot/Preemptible VMs |
| VM (n1-standard-4) | $0.15/hr | ~$108/month | ~$0.04/hr | ~$29/month | The VM cost can be significantly reduced using a Spot/Preemptible instance | | VM (n1-standard-4) | $0.15/hr | ~$108/month | ~$0.04/hr | ~$29/month | The VM cost can be significantly reduced using a Spot/Preemptible instance |
| **Total** | **$0.15/hr** | **~$118/month** | **~$0.04/hr** | **~$39/month** | Total costs for running the VM and disk 24/7 for an entire month | | **Total** | **$0.15/hr** | **~$118/month** | **~$0.04/hr** | **~$39/month** | Total costs for running the VM and disk 24/7 for an entire month |

8
docs/docs/guidelines/chat-widget.mdx
View file

@ -78,7 +78,7 @@ The Chat Widget can be embedded into any HTML page, inside a _`<body>`_ tag, as
To embed the Chat Widget using React, you'll need to insert this _`<script>`_ tag into the React _index.html_ file, inside the _`<body>`_ tag: To embed the Chat Widget using React, you'll need to insert this _`<script>`_ tag into the React _index.html_ file, inside the _`<body>`_ tag:
```html ```html
<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script> <script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
``` ```
Then, declare your Web Component and encapsulate it in a React component. Then, declare your Web Component and encapsulate it in a React component.
@ -115,7 +115,7 @@ Finally, you can place the component anywhere in your code to display the Chat W
To use it in Angular, first add this _`<script>`_ tag into the Angular _index.html_ file, inside the _`<body>`_ tag. To use it in Angular, first add this _`<script>`_ tag into the Angular _index.html_ file, inside the _`<body>`_ tag.
```html ```html
<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script> <script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
``` ```
When you use a custom web component in an Angular template, the Angular compiler might show a warning when it doesn't recognize the custom elements by default. To suppress this warning, add _`CUSTOM_ELEMENTS_SCHEMA`_ to the module's _`@NgModule.schemas`_. When you use a custom web component in an Angular template, the Angular compiler might show a warning when it doesn't recognize the custom elements by default. To suppress this warning, add _`CUSTOM_ELEMENTS_SCHEMA`_ to the module's _`@NgModule.schemas`_.
@ -185,7 +185,7 @@ Use the widget API to customize your Chat Widget:
</Admonition> </Admonition>
| Prop | Type | Required | Description | | Prop | Type | Required | Description |
| --------------------- | ------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | | --------------------- | ------- | -------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------- |
| bot_message_style | JSON | No | Applies custom formatting to bot messages. | | bot_message_style | JSON | No | Applies custom formatting to bot messages. |
| chat_input_field | String | Yes | Defines the type of the input field for chat messages. | | chat_input_field | String | Yes | Defines the type of the input field for chat messages. |
| chat_inputs | JSON | Yes | Determines the chat input elements and their respective values. | | chat_inputs | JSON | Yes | Determines the chat input elements and their respective values. |
@ -208,4 +208,4 @@ Use the widget API to customize your Chat Widget:
| tweaks | JSON | No | Applies additional custom adjustments for the associated flow. | | tweaks | JSON | No | Applies additional custom adjustments for the associated flow. |
| user_message_style | JSON | No | Determines the formatting for user messages in the chat window. | | user_message_style | JSON | No | Determines the formatting for user messages in the chat window. |
| width | Number | No | Sets the width of the chat window in pixels. | | width | Number | No | Sets the width of the chat window in pixels. |
| window_title | String | No | Sets the title displayed in the chat window's header or title bar. | | window_title | String | No | Sets the title displayed in the chat window's header or title bar. | import ThemedImage from "@theme/ThemedImage"; |

7
docs/docs/guidelines/custom-component.mdx
View file

@ -131,7 +131,7 @@ class MyComponent(CustomComponent):
--- ---
The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom). The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLanguageModel, or basic Python types). Check out all supported types in the [component reference](../components/custom).
```python ```python
from langflow.custom import CustomComponent from langflow.custom import CustomComponent
@ -366,7 +366,7 @@ For advanced customization, Langflow offers the option to create and load custom
### Folder Structure ### Folder Structure
Create a folder that follows the same structural conventions as the [config.yaml](https://github.com/logspace-ai/langflow/blob/dev/src/backend/base/langflow/config.yaml) file. Inside this main directory, use a `custom_components` subdirectory for your custom components. Create a folder that follows the same structural conventions as the [config.yaml](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/config.yaml) file. Inside this main directory, use a `custom_components` subdirectory for your custom components.
Inside `custom_components`, you can create a Python file for each component. Similarly, any custom agents should be housed in an `agents` subdirectory. Inside `custom_components`, you can create a Python file for each component. Similarly, any custom agents should be housed in an `agents` subdirectory.
@ -406,4 +406,5 @@ Langflow will attempt to load all of the components found in the specified direc
Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components. Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components.
Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding! Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!import ZoomableImage from "/src/theme/ZoomableImage.js";
import Admonition from "@theme/Admonition";

2
docs/docs/whats-new/migrating-to-one-point-zero.mdx
View file

@ -14,7 +14,7 @@ import Admonition from "@theme/Admonition";
Langflow 1.0 is a significant update that brings many exciting changes and improvements to the platform. Langflow 1.0 is a significant update that brings many exciting changes and improvements to the platform.
This guide will walk you through the key improvements and help you migrate your existing projects to the new version. This guide will walk you through the key improvements and help you migrate your existing projects to the new version.
If you have any questions or need assistance during the migration process, please don't hesitate to reach out to in our [Discord](https://discord.gg/wZSWQaukgJ) or [GitHub](https://github.com/logspace-ai/langflow/issues) community. If you have any questions or need assistance during the migration process, please don't hesitate to reach out to in our [Discord](https://discord.gg/wZSWQaukgJ) or [GitHub](https://github.com/langflow-ai/langflow/issues) community.
We have a special channel in our Discord server dedicated to Langflow 1.0 migration, where you can ask questions, share your experiences, and get help from the community. We have a special channel in our Discord server dedicated to Langflow 1.0 migration, where you can ask questions, share your experiences, and get help from the community.

6
docs/docusaurus.config.js
View file

@ -44,7 +44,7 @@ module.exports = {
// sidebarPath: 'sidebars.js', // sidebarPath: 'sidebars.js',
}, },
gtag: { gtag: {
trackingID: 'G-XHC7G628ZP', trackingID: "G-XHC7G628ZP",
anonymizeIP: true, anonymizeIP: true,
}, },
theme: { theme: {
@ -87,7 +87,7 @@ module.exports = {
// right // right
{ {
position: "right", position: "right",
href: "https://github.com/logspace-ai/langflow", href: "https://github.com/langflow-ai/langflow",
position: "right", position: "right",
className: "header-github-link", className: "header-github-link",
target: "_blank", target: "_blank",
@ -124,7 +124,7 @@ module.exports = {
}, },
announcementBar: { announcementBar: {
content: content:
'⭐️ If you like ⛓️Langflow, star it on <a target="_blank" rel="noopener noreferrer" href="https://github.com/logspace-ai/langflow">GitHub</a>! ⭐️', '⭐️ If you like ⛓️Langflow, star it on <a target="_blank" rel="noopener noreferrer" href="https://github.com/langflow-ai/langflow">GitHub</a>! ⭐️',
backgroundColor: "#E8EBF1", //Mustard Yellow #D19900 #D4B20B - Salmon #E9967A backgroundColor: "#E8EBF1", //Mustard Yellow #D19900 #D4B20B - Salmon #E9967A
textColor: "#1C1E21", textColor: "#1C1E21",
isCloseable: false, isCloseable: false,

348
poetry.lock generated
View file

@ -455,17 +455,17 @@ files = [
[[package]] [[package]]
name = "boto3" name = "boto3"
version = "1.34.79" version = "1.34.80"
description = "The AWS SDK for Python" description = "The AWS SDK for Python"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "boto3-1.34.79-py3-none-any.whl", hash = "sha256:265b0b4865e8c07e27abb32a31d2bd9129bb009b1d89ca0783776ec084886123"}, {file = "boto3-1.34.80-py3-none-any.whl", hash = "sha256:bb8f433c04dcdffbd4a802df56c1c30f2be23b1161fd8fb45e4b76c1487ec122"},
{file = "boto3-1.34.79.tar.gz", hash = "sha256:139dd2d94eaa0e3213ff37ba7cf4cb2e3823269178fe8f3e33c965f680a9ddde"}, {file = "boto3-1.34.80.tar.gz", hash = "sha256:5627f6ecadb46fc7c9f8c368baf948f1b00a3fd2f8eb1275c254469853ad8fdb"},
] ]
[package.dependencies] [package.dependencies]
botocore = ">=1.34.79,<1.35.0" botocore = ">=1.34.80,<1.35.0"
jmespath = ">=0.7.1,<2.0.0" jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0" s3transfer = ">=0.10.0,<0.11.0"
@ -474,13 +474,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]] [[package]]
name = "botocore" name = "botocore"
version = "1.34.79" version = "1.34.80"
description = "Low-level, data-driven core of boto 3." description = "Low-level, data-driven core of boto 3."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "botocore-1.34.79-py3-none-any.whl", hash = "sha256:a42a014d3dbaa9ef123810592af69f9e55b456c5be3ac9efc037325685519e83"}, {file = "botocore-1.34.80-py3-none-any.whl", hash = "sha256:354a00f03faba52acc6f1a84fa4f035d48541633be98ccc24b59dc544f679f8b"},
{file = "botocore-1.34.79.tar.gz", hash = "sha256:6b59b0f7de219d383a2a633f6718c2600642ebcb707749dc6c67a6a436474b7a"}, {file = "botocore-1.34.80.tar.gz", hash = "sha256:8402262e819f3d46df504bbd781e770858c0130b90f660699f75ef3a63abca5a"},
] ]
[package.dependencies] [package.dependencies]
@ -1129,13 +1129,13 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
[[package]] [[package]]
name = "cohere" name = "cohere"
version = "5.2.2" version = "5.2.4"
description = "" description = ""
optional = false optional = false
python-versions = "<4.0,>=3.8" python-versions = "<4.0,>=3.8"
files = [ files = [
{file = "cohere-5.2.2-py3-none-any.whl", hash = "sha256:dae0c7318fa0d15a2147a044a49c1f40164a6c8135a260cc46214058c7c06085"}, {file = "cohere-5.2.4-py3-none-any.whl", hash = "sha256:50e8cbd009a6d6f6ce7127a0b62c50d3dfcfdb853f681f0ac315cfa70599fee4"},
{file = "cohere-5.2.2.tar.gz", hash = "sha256:43243b86d4abf3140f9077435580ebceaa431fb7d57a9fef6858eee880f26646"}, {file = "cohere-5.2.4.tar.gz", hash = "sha256:2bf6e905773116ad3fff348e054e4ce1a1830092a63cb48fa8180beda4cbb96a"},
] ]
[package.dependencies] [package.dependencies]
@ -1312,33 +1312,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
[package.extras] [package.extras]
toml = ["tomli"] toml = ["tomli"]
[[package]]
name = "crewai"
version = "0.22.5"
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
optional = false
python-versions = ">=3.10,<=3.13"
files = [
{file = "crewai-0.22.5-py3-none-any.whl", hash = "sha256:9f254d8b2ebd7fae9a43d0ebab116a3f536c6620ca3bc955cb796fc8bb9beb7d"},
{file = "crewai-0.22.5.tar.gz", hash = "sha256:03c76a04f46a432a1c3d9e5e0c8e039f983b25019194b0ab2ec594762ac380cf"},
]
[package.dependencies]
click = ">=8.1.7,<9.0.0"
instructor = ">=0.5.2,<0.6.0"
langchain = ">=0.1.10,<0.2.0"
langchain-openai = ">=0.0.5,<0.0.6"
openai = ">=1.13.3,<2.0.0"
opentelemetry-api = ">=1.22.0,<2.0.0"
opentelemetry-exporter-otlp-proto-http = ">=1.22.0,<2.0.0"
opentelemetry-sdk = ">=1.22.0,<2.0.0"
pydantic = ">=2.4.2,<3.0.0"
python-dotenv = "1.0.0"
regex = ">=2023.12.25,<2024.0.0"
[package.extras]
tools = ["crewai-tools (>=0.0.15,<0.0.16)"]
[[package]] [[package]]
name = "cryptography" name = "cryptography"
version = "42.0.5" version = "42.0.5"
@ -1515,13 +1488,13 @@ files = [
[[package]] [[package]]
name = "deepdiff" name = "deepdiff"
version = "7.0.0" version = "7.0.1"
description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other." description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "deepdiff-7.0.0-py3-none-any.whl", hash = "sha256:f7bbb845f83ad6b9453a4ab07c579bdc6f1df712edc515740455a9b88c2bc41a"}, {file = "deepdiff-7.0.1-py3-none-any.whl", hash = "sha256:447760081918216aa4fd4ca78a4b6a848b81307b2ea94c810255334b759e1dc3"},
{file = "deepdiff-7.0.0.tar.gz", hash = "sha256:4e07da4f2a1ae069b7465d264715764f3b36ce181ec89f47050ead61711b1e9a"}, {file = "deepdiff-7.0.1.tar.gz", hash = "sha256:260c16f052d4badbf60351b4f77e8390bee03a0b516246f6839bc813fb429ddf"},
] ]
[package.dependencies] [package.dependencies]
@ -1674,13 +1647,13 @@ files = [
[[package]] [[package]]
name = "dspy-ai" name = "dspy-ai"
version = "2.4.0" version = "2.4.5"
description = "DSPy" description = "DSPy"
optional = false optional = false
python-versions = ">=3.9" python-versions = ">=3.9"
files = [ files = [
{file = "dspy-ai-2.4.0.tar.gz", hash = "sha256:d646ec015270b70bd51916346c01680923ccfa386c9e5474caac6d4366148678"}, {file = "dspy-ai-2.4.5.tar.gz", hash = "sha256:6d9f166f9c214a86cfa0ef0e1d1489b4034dbed1cdab61ce152de8c09f64d799"},
{file = "dspy_ai-2.4.0-py3-none-any.whl", hash = "sha256:edea508dc315702f61ae39568eaf2d8789ba4f8682102e730e016801b9102703"}, {file = "dspy_ai-2.4.5-py3-none-any.whl", hash = "sha256:341e239374fba86ad7f9cd1eb3810ccd70bbbdfe8e9b2fa79038da0e0e720d4e"},
] ]
[package.dependencies] [package.dependencies]
@ -1697,6 +1670,7 @@ tqdm = "*"
ujson = "*" ujson = "*"
[package.extras] [package.extras]
anthropic = ["anthropic (>=0.18.0,<0.19.0)"]
chromadb = ["chromadb (>=0.4.14,<0.5.0)"] chromadb = ["chromadb (>=0.4.14,<0.5.0)"]
dev = ["pytest (>=6.2.5)"] dev = ["pytest (>=6.2.5)"]
docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"] docs = ["autodoc-pydantic", "docutils (<0.17)", "furo (>=2023.3.27)", "m2r2", "myst-nb", "myst-parser", "sphinx (>=4.3.0)", "sphinx-autobuild", "sphinx-automodapi (==0.16.0)", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-theme"]
@ -1778,13 +1752,13 @@ files = [
[[package]] [[package]]
name = "ecdsa" name = "ecdsa"
version = "0.18.0" version = "0.19.0"
description = "ECDSA cryptographic signature library (pure python)" description = "ECDSA cryptographic signature library (pure python)"
optional = false optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.6"
files = [ files = [
{file = "ecdsa-0.18.0-py2.py3-none-any.whl", hash = "sha256:80600258e7ed2f16b9aa1d7c295bd70194109ad5a30fdee0eaeefef1d4c559dd"}, {file = "ecdsa-0.19.0-py2.py3-none-any.whl", hash = "sha256:2cea9b88407fdac7bbeca0833b189e4c9c53f2ef1e1eaa29f6224dbc809b707a"},
{file = "ecdsa-0.18.0.tar.gz", hash = "sha256:190348041559e21b22a1d65cee485282ca11a6f81d503fddb84d5017e9ed1e49"}, {file = "ecdsa-0.19.0.tar.gz", hash = "sha256:60eaad1199659900dd0af521ed462b793bbdf867432b3948e87416ae4caf6bf8"},
] ]
[package.dependencies] [package.dependencies]
@ -3320,26 +3294,6 @@ files = [
{file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"}, {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
] ]
[[package]]
name = "instructor"
version = "0.5.2"
description = "structured outputs for llm"
optional = false
python-versions = ">=3.10,<4.0"
files = [
{file = "instructor-0.5.2-py3-none-any.whl", hash = "sha256:8c7c927f3cbf6cd863eeebceae3f021e27eaca2ceaf9e9f3c8204540a1126160"},
{file = "instructor-0.5.2.tar.gz", hash = "sha256:d8d679eb4624254db615794aaab59840e506fa696bc0181d998ae4f9ded2706d"},
]
[package.dependencies]
aiohttp = ">=3.9.1,<4.0.0"
docstring-parser = ">=0.15,<0.16"
openai = ">=1.1.0,<2.0.0"
pydantic = ">=2.0.2,<3.0.0"
rich = ">=13.7.0,<14.0.0"
tenacity = ">=8.2.3,<9.0.0"
typer = ">=0.9.0,<0.10.0"
[[package]] [[package]]
name = "ipykernel" name = "ipykernel"
version = "6.29.4" version = "6.29.4"
@ -3786,37 +3740,6 @@ files = [
cohere = ">=5.1.4,<6.0.0" cohere = ">=5.1.4,<6.0.0"
langchain-core = ">=0.1.32,<0.2.0" langchain-core = ">=0.1.32,<0.2.0"
[[package]]
name = "langchain-astradb"
version = "0.1.0"
description = "An integration package connecting Astra DB and LangChain"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain_astradb-0.1.0-py3-none-any.whl", hash = "sha256:c6686089da343fce8c31e36c9162323e88888300b09d56b72347a19449d7361f"},
{file = "langchain_astradb-0.1.0.tar.gz", hash = "sha256:c8a3426c9daa2beeec2dc7a718186b0b9c388082e9543e0bc07363712cc3b947"},
]
[package.dependencies]
astrapy = ">=0.7.7,<0.8.0"
langchain-core = ">=0.1.31,<0.2.0"
numpy = ">=1,<2"
[[package]]
name = "langchain-cohere"
version = "0.1.0"
description = "An integration package connecting Cohere and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_cohere-0.1.0-py3-none-any.whl", hash = "sha256:f60e9eb41f7d4ead9659bddb3fae7aa18ddc3fdf2b2867be4bd8a565229f488d"},
{file = "langchain_cohere-0.1.0.tar.gz", hash = "sha256:960551293ea58d170fad37d44657d3ae4587f6b2e8f3f58922c53c59b9e9d85c"},
]
[package.dependencies]
cohere = ">=5.1.4,<6.0.0"
langchain-core = ">=0.1.32,<0.2.0"
[[package]] [[package]]
name = "langchain-community" name = "langchain-community"
version = "0.0.31" version = "0.0.31"
@ -3915,7 +3838,7 @@ files = [
[package.dependencies] [package.dependencies]
langchain-core = ">=0.1.33,<0.2.0" langchain-core = ">=0.1.33,<0.2.0"
openai = ">=1.10.0,<2.0.0" openai = ">=1.10.0,<2.0.0"
tiktoken = ">=0.5.2,<0.6.0" tiktoken = ">=0.5.2,<1"
[[package]] [[package]]
name = "langchain-text-splitters" name = "langchain-text-splitters"
@ -3950,7 +3873,7 @@ six = "*"
[[package]] [[package]]
name = "langflow-base" name = "langflow-base"
version = "0.0.21" version = "0.0.24"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
optional = false optional = false
python-versions = ">=3.10,<3.12" python-versions = ">=3.10,<3.12"
@ -3974,7 +3897,7 @@ langchain-experimental = "*"
loguru = "^0.7.1" loguru = "^0.7.1"
multiprocess = "^0.70.14" multiprocess = "^0.70.14"
nest-asyncio = "^1.6.0" nest-asyncio = "^1.6.0"
orjson = "3.9.15" orjson = "3.10.0"
pandas = "2.2.0" pandas = "2.2.0"
passlib = "^1.7.4" passlib = "^1.7.4"
pillow = "^10.2.0" pillow = "^10.2.0"
@ -4060,13 +3983,13 @@ regex = ["regex"]
[[package]] [[package]]
name = "litellm" name = "litellm"
version = "1.34.34" version = "1.34.36"
description = "Library to easily interface with LLM API providers" description = "Library to easily interface with LLM API providers"
optional = false optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
files = [ files = [
{file = "litellm-1.34.34-py3-none-any.whl", hash = "sha256:c9eefd4b5adec3c2e6d0ab765a4fcebd475a895c7e417f47f8e677410b607f51"}, {file = "litellm-1.34.36-py3-none-any.whl", hash = "sha256:e5baa7f4540dd2923472f60d3ffb4f76bb48f5288a7fb26efed2010b57b0d8ad"},
{file = "litellm-1.34.34.tar.gz", hash = "sha256:d11c9d5296d052a9e5e1187ac7b33683f3a581740abc4de6a9c327d3f3c7187c"}, {file = "litellm-1.34.36.tar.gz", hash = "sha256:03e59c30ae21b9c1df4064dc20b015233c3d86a07bb4832c40dd73021778f3c8"},
] ]
[package.dependencies] [package.dependencies]
@ -4338,13 +4261,13 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
[[package]] [[package]]
name = "llama-index-readers-file" name = "llama-index-readers-file"
version = "0.1.13" version = "0.1.15"
description = "llama-index readers file integration" description = "llama-index readers file integration"
optional = false optional = false
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
{file = "llama_index_readers_file-0.1.13-py3-none-any.whl", hash = "sha256:692988b8c3ca2807d21a171351078b634ada2ff1682ebe4a484f82da384dfc55"}, {file = "llama_index_readers_file-0.1.15-py3-none-any.whl", hash = "sha256:f0d26a46d4c40334729d4506d9fbdbed8f5e187e36e22159fb48b28d67c7f240"},
{file = "llama_index_readers_file-0.1.13.tar.gz", hash = "sha256:830f06ec7b34437fc3bb5f268d235c5c7640296adb148d8f92277dceb7f0846d"}, {file = "llama_index_readers_file-0.1.15.tar.gz", hash = "sha256:98087d983a1f2d26961805217f13d24b0f23cbbe8e32d2327ae86b1ee668d3b2"},
] ]
[package.dependencies] [package.dependencies]
@ -5648,26 +5571,6 @@ opentelemetry-sdk = ">=1.24.0,<1.25.0"
[package.extras] [package.extras]
test = ["pytest-grpc"] test = ["pytest-grpc"]
[[package]]
name = "opentelemetry-exporter-otlp-proto-http"
version = "1.24.0"
description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
optional = false
python-versions = ">=3.8"
files = [
{file = "opentelemetry_exporter_otlp_proto_http-1.24.0-py3-none-any.whl", hash = "sha256:25af10e46fdf4cd3833175e42f4879a1255fc01655fe14c876183a2903949836"},
{file = "opentelemetry_exporter_otlp_proto_http-1.24.0.tar.gz", hash = "sha256:704c066cc96f5131881b75c0eac286cd73fc735c490b054838b4513254bd7850"},
]
[package.dependencies]
deprecated = ">=1.2.6"
googleapis-common-protos = ">=1.52,<2.0"
opentelemetry-api = ">=1.15,<2.0"
opentelemetry-exporter-otlp-proto-common = "1.24.0"
opentelemetry-proto = "1.24.0"
opentelemetry-sdk = ">=1.24.0,<1.25.0"
requests = ">=2.7,<3.0"
[[package]] [[package]]
name = "opentelemetry-instrumentation" name = "opentelemetry-instrumentation"
version = "0.45b0" version = "0.45b0"
@ -5821,61 +5724,62 @@ dev = ["black", "mypy", "pytest"]
[[package]] [[package]]
name = "orjson" name = "orjson"
version = "3.9.15" version = "3.10.0"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"}, {file = "orjson-3.10.0-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47af5d4b850a2d1328660661f0881b67fdbe712aea905dadd413bdea6f792c33"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c90681333619d78360d13840c7235fdaf01b2b129cb3a4f1647783b1971542b6"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:400c5b7c4222cb27b5059adf1fb12302eebcabf1978f33d0824aa5277ca899bd"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dcb32e949eae80fb335e63b90e5808b4b0f64e31476b3777707416b41682db5"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7d507c7493252c0a0264b5cc7e20fa2f8622b8a83b04d819b5ce32c97cf57b"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e286a51def6626f1e0cc134ba2067dcf14f7f4b9550f6dd4535fd9d79000040b"},
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99"}, {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8acd4b82a5f3a3ec8b1dc83452941d22b4711964c34727eb1e65449eead353ca"},
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe"}, {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:30707e646080dd3c791f22ce7e4a2fc2438765408547c10510f1f690bd336217"},
{file = "orjson-3.9.15-cp310-none-win32.whl", hash = "sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7"}, {file = "orjson-3.10.0-cp310-none-win32.whl", hash = "sha256:115498c4ad34188dcb73464e8dc80e490a3e5e88a925907b6fedcf20e545001a"},
{file = "orjson-3.9.15-cp310-none-win_amd64.whl", hash = "sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb"}, {file = "orjson-3.10.0-cp310-none-win_amd64.whl", hash = "sha256:6735dd4a5a7b6df00a87d1d7a02b84b54d215fb7adac50dd24da5997ffb4798d"},
{file = "orjson-3.9.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2"}, {file = "orjson-3.10.0-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9587053e0cefc284e4d1cd113c34468b7d3f17666d22b185ea654f0775316a26"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bef1050b1bdc9ea6c0d08468e3e61c9386723633b397e50b82fda37b3563d72"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d16c6963ddf3b28c0d461641517cd312ad6b3cf303d8b87d5ef3fa59d6844337"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4251964db47ef090c462a2d909f16c7c7d5fe68e341dabce6702879ec26d1134"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73bbbdc43d520204d9ef0817ac03fa49c103c7f9ea94f410d2950755be2c349c"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:414e5293b82373606acf0d66313aecb52d9c8c2404b1900683eb32c3d042dbd7"},
{file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404"}, {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:feaed5bb09877dc27ed0d37f037ddef6cb76d19aa34b108db270d27d3d2ef747"},
{file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357"}, {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5127478260db640323cea131ee88541cb1a9fbce051f0b22fa2f0892f44da302"},
{file = "orjson-3.9.15-cp311-none-win32.whl", hash = "sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7"}, {file = "orjson-3.10.0-cp311-none-win32.whl", hash = "sha256:b98345529bafe3c06c09996b303fc0a21961820d634409b8639bc16bd4f21b63"},
{file = "orjson-3.9.15-cp311-none-win_amd64.whl", hash = "sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8"}, {file = "orjson-3.10.0-cp311-none-win_amd64.whl", hash = "sha256:658ca5cee3379dd3d37dbacd43d42c1b4feee99a29d847ef27a1cb18abdfb23f"},
{file = "orjson-3.9.15-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73"}, {file = "orjson-3.10.0-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4329c1d24fd130ee377e32a72dc54a3c251e6706fccd9a2ecb91b3606fddd998"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef0f19fdfb6553342b1882f438afd53c7cb7aea57894c4490c43e4431739c700"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4f60db24161534764277f798ef53b9d3063092f6d23f8f962b4a97edfa997a0"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1de3fd5c7b208d836f8ecb4526995f0d5877153a4f6f12f3e9bf11e49357de98"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f93e33f67729d460a177ba285002035d3f11425ed3cebac5f6ded4ef36b28344"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:237ba922aef472761acd697eef77fef4831ab769a42e83c04ac91e9f9e08fa0e"},
{file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068"}, {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:98c1bfc6a9bec52bc8f0ab9b86cc0874b0299fccef3562b793c1576cf3abb570"},
{file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda"}, {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:30d795a24be16c03dca0c35ca8f9c8eaaa51e3342f2c162d327bd0225118794a"},
{file = "orjson-3.9.15-cp312-none-win_amd64.whl", hash = "sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2"}, {file = "orjson-3.10.0-cp312-none-win32.whl", hash = "sha256:6a3f53dc650bc860eb26ec293dfb489b2f6ae1cbfc409a127b01229980e372f7"},
{file = "orjson-3.9.15-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25"}, {file = "orjson-3.10.0-cp312-none-win_amd64.whl", hash = "sha256:983db1f87c371dc6ffc52931eb75f9fe17dc621273e43ce67bee407d3e5476e9"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1"}, {file = "orjson-3.10.0-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9a667769a96a72ca67237224a36faf57db0c82ab07d09c3aafc6f956196cfa1b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ade1e21dfde1d37feee8cf6464c20a2f41fa46c8bcd5251e761903e46102dc6b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23c12bb4ced1c3308eff7ba5c63ef8f0edb3e4c43c026440247dd6c1c61cea4b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2d014cf8d4dc9f03fc9f870de191a49a03b1bcda51f2a957943fb9fafe55aac"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eadecaa16d9783affca33597781328e4981b048615c2ddc31c47a51b833d6319"},
{file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd583341218826f48bd7c6ebf3310b4126216920853cbc471e8dbeaf07b0b80e"},
{file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1"}, {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:90bfc137c75c31d32308fd61951d424424426ddc39a40e367704661a9ee97095"},
{file = "orjson-3.9.15-cp38-none-win32.whl", hash = "sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5"}, {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:13b5d3c795b09a466ec9fcf0bd3ad7b85467d91a60113885df7b8d639a9d374b"},
{file = "orjson-3.9.15-cp38-none-win_amd64.whl", hash = "sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b"}, {file = "orjson-3.10.0-cp38-none-win32.whl", hash = "sha256:5d42768db6f2ce0162544845facb7c081e9364a5eb6d2ef06cd17f6050b048d8"},
{file = "orjson-3.9.15-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e"}, {file = "orjson-3.10.0-cp38-none-win_amd64.whl", hash = "sha256:33e6655a2542195d6fd9f850b428926559dee382f7a862dae92ca97fea03a5ad"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180"}, {file = "orjson-3.10.0-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4050920e831a49d8782a1720d3ca2f1c49b150953667eed6e5d63a62e80f46a2"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1897aa25a944cec774ce4a0e1c8e98fb50523e97366c637b7d0cddabc42e6643"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9bf565a69e0082ea348c5657401acec3cbbb31564d89afebaee884614fba36b4"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b6ebc17cfbbf741f5c1a888d1854354536f63d84bee537c9a7c0335791bb9009"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2817877d0b69f78f146ab305c5975d0618df41acf8811249ee64231f5953fee"},
{file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57d017863ec8aa4589be30a328dacd13c2dc49de1c170bc8d8c8a98ece0f2925"},
{file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10"}, {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:22c2f7e377ac757bd3476ecb7480c8ed79d98ef89648f0176deb1da5cd014eb7"},
{file = "orjson-3.9.15-cp39-none-win32.whl", hash = "sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a"}, {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
{file = "orjson-3.9.15-cp39-none-win_amd64.whl", hash = "sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7"}, {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
{file = "orjson-3.9.15.tar.gz", hash = "sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061"}, {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
{file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
] ]
[[package]] [[package]]
@ -8391,7 +8295,7 @@ name = "shellingham"
version = "1.5.4" version = "1.5.4"
description = "Tool to Detect Surrounding Shell" description = "Tool to Detect Surrounding Shell"
optional = false optional = false
python-versions = ">=3.6" python-versions = ">=3.7"
files = [ files = [
{file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"},
{file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"},
@ -8730,47 +8634,47 @@ files = [
[[package]] [[package]]
name = "tiktoken" name = "tiktoken"
version = "0.5.2" version = "0.6.0"
description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "tiktoken-0.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8c4e654282ef05ec1bd06ead22141a9a1687991cef2c6a81bdd1284301abc71d"}, {file = "tiktoken-0.6.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:277de84ccd8fa12730a6b4067456e5cf72fef6300bea61d506c09e45658d41ac"},
{file = "tiktoken-0.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7b3134aa24319f42c27718c6967f3c1916a38a715a0fa73d33717ba121231307"}, {file = "tiktoken-0.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9c44433f658064463650d61387623735641dcc4b6c999ca30bc0f8ba3fccaf5c"},
{file = "tiktoken-0.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6092e6e77730929c8c6a51bb0d7cfdf1b72b63c4d033d6258d1f2ee81052e9e5"}, {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afb9a2a866ae6eef1995ab656744287a5ac95acc7e0491c33fad54d053288ad3"},
{file = "tiktoken-0.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:72ad8ae2a747622efae75837abba59be6c15a8f31b4ac3c6156bc56ec7a8e631"}, {file = "tiktoken-0.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c62c05b3109fefca26fedb2820452a050074ad8e5ad9803f4652977778177d9f"},
{file = "tiktoken-0.5.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:51cba7c8711afa0b885445f0637f0fcc366740798c40b981f08c5f984e02c9d1"}, {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:0ef917fad0bccda07bfbad835525bbed5f3ab97a8a3e66526e48cdc3e7beacf7"},
{file = "tiktoken-0.5.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3d8c7d2c9313f8e92e987d585ee2ba0f7c40a0de84f4805b093b634f792124f5"}, {file = "tiktoken-0.6.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e095131ab6092d0769a2fda85aa260c7c383072daec599ba9d8b149d2a3f4d8b"},
{file = "tiktoken-0.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:692eca18c5fd8d1e0dde767f895c17686faaa102f37640e884eecb6854e7cca7"}, {file = "tiktoken-0.6.0-cp310-cp310-win_amd64.whl", hash = "sha256:05b344c61779f815038292a19a0c6eb7098b63c8f865ff205abb9ea1b656030e"},
{file = "tiktoken-0.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:138d173abbf1ec75863ad68ca289d4da30caa3245f3c8d4bfb274c4d629a2f77"}, {file = "tiktoken-0.6.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cefb9870fb55dca9e450e54dbf61f904aab9180ff6fe568b61f4db9564e78871"},
{file = "tiktoken-0.5.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7388fdd684690973fdc450b47dfd24d7f0cbe658f58a576169baef5ae4658607"}, {file = "tiktoken-0.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:702950d33d8cabc039845674107d2e6dcabbbb0990ef350f640661368df481bb"},
{file = "tiktoken-0.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a114391790113bcff670c70c24e166a841f7ea8f47ee2fe0e71e08b49d0bf2d4"}, {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d49d076058f23254f2aff9af603863c5c5f9ab095bc896bceed04f8f0b013a"},
{file = "tiktoken-0.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ca96f001e69f6859dd52926d950cfcc610480e920e576183497ab954e645e6ac"}, {file = "tiktoken-0.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:430bc4e650a2d23a789dc2cdca3b9e5e7eb3cd3935168d97d43518cbb1f9a911"},
{file = "tiktoken-0.5.2-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:15fed1dd88e30dfadcdd8e53a8927f04e1f6f81ad08a5ca824858a593ab476c7"}, {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:293cb8669757301a3019a12d6770bd55bec38a4d3ee9978ddbe599d68976aca7"},
{file = "tiktoken-0.5.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:93f8e692db5756f7ea8cb0cfca34638316dcf0841fb8469de8ed7f6a015ba0b0"}, {file = "tiktoken-0.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:7bd1a288b7903aadc054b0e16ea78e3171f70b670e7372432298c686ebf9dd47"},
{file = "tiktoken-0.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:bcae1c4c92df2ffc4fe9f475bf8148dbb0ee2404743168bbeb9dcc4b79dc1fdd"}, {file = "tiktoken-0.6.0-cp311-cp311-win_amd64.whl", hash = "sha256:ac76e000183e3b749634968a45c7169b351e99936ef46f0d2353cd0d46c3118d"},
{file = "tiktoken-0.5.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b76a1e17d4eb4357d00f0622d9a48ffbb23401dcf36f9716d9bd9c8e79d421aa"}, {file = "tiktoken-0.6.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:17cc8a4a3245ab7d935c83a2db6bb71619099d7284b884f4b2aea4c74f2f83e3"},
{file = "tiktoken-0.5.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:01d8b171bb5df4035580bc26d4f5339a6fd58d06f069091899d4a798ea279d3e"}, {file = "tiktoken-0.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:284aebcccffe1bba0d6571651317df6a5b376ff6cfed5aeb800c55df44c78177"},
{file = "tiktoken-0.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:42adf7d4fb1ed8de6e0ff2e794a6a15005f056a0d83d22d1d6755a39bffd9e7f"}, {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0c1a3a5d33846f8cd9dd3b7897c1d45722f48625a587f8e6f3d3e85080559be8"},
{file = "tiktoken-0.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c3f894dbe0adb44609f3d532b8ea10820d61fdcb288b325a458dfc60fefb7db"}, {file = "tiktoken-0.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6318b2bb2337f38ee954fd5efa82632c6e5ced1d52a671370fa4b2eff1355e91"},
{file = "tiktoken-0.5.2-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:58ccfddb4e62f0df974e8f7e34a667981d9bb553a811256e617731bf1d007d19"}, {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:1f5f0f2ed67ba16373f9a6013b68da298096b27cd4e1cf276d2d3868b5c7efd1"},
{file = "tiktoken-0.5.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58902a8bad2de4268c2a701f1c844d22bfa3cbcc485b10e8e3e28a050179330b"}, {file = "tiktoken-0.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:75af4c0b16609c2ad02581f3cdcd1fb698c7565091370bf6c0cf8624ffaba6dc"},
{file = "tiktoken-0.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:5e39257826d0647fcac403d8fa0a474b30d02ec8ffc012cfaf13083e9b5e82c5"}, {file = "tiktoken-0.6.0-cp312-cp312-win_amd64.whl", hash = "sha256:45577faf9a9d383b8fd683e313cf6df88b6076c034f0a16da243bb1c139340c3"},
{file = "tiktoken-0.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8bde3b0fbf09a23072d39c1ede0e0821f759b4fa254a5f00078909158e90ae1f"}, {file = "tiktoken-0.6.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7c1492ab90c21ca4d11cef3a236ee31a3e279bb21b3fc5b0e2210588c4209e68"},
{file = "tiktoken-0.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:2ddee082dcf1231ccf3a591d234935e6acf3e82ee28521fe99af9630bc8d2a60"}, {file = "tiktoken-0.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e2b380c5b7751272015400b26144a2bab4066ebb8daae9c3cd2a92c3b508fe5a"},
{file = "tiktoken-0.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:35c057a6a4e777b5966a7540481a75a31429fc1cb4c9da87b71c8b75b5143037"}, {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9f497598b9f58c99cbc0eb764b4a92272c14d5203fc713dd650b896a03a50ad"},
{file = "tiktoken-0.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c4a049b87e28f1dc60509f8eb7790bc8d11f9a70d99b9dd18dfdd81a084ffe6"}, {file = "tiktoken-0.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e65e8bd6f3f279d80f1e1fbd5f588f036b9a5fa27690b7f0cc07021f1dfa0839"},
{file = "tiktoken-0.5.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5bf5ce759089f4f6521ea6ed89d8f988f7b396e9f4afb503b945f5c949c6bec2"}, {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5f1495450a54e564d236769d25bfefbf77727e232d7a8a378f97acddee08c1ae"},
{file = "tiktoken-0.5.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:0c964f554af1a96884e01188f480dad3fc224c4bbcf7af75d4b74c4b74ae0125"}, {file = "tiktoken-0.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:6c4e4857d99f6fb4670e928250835b21b68c59250520a1941618b5b4194e20c3"},
{file = "tiktoken-0.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:368dd5726d2e8788e47ea04f32e20f72a2012a8a67af5b0b003d1e059f1d30a3"}, {file = "tiktoken-0.6.0-cp38-cp38-win_amd64.whl", hash = "sha256:168d718f07a39b013032741867e789971346df8e89983fe3c0ef3fbd5a0b1cb9"},
{file = "tiktoken-0.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a2deef9115b8cd55536c0a02c0203512f8deb2447f41585e6d929a0b878a0dd2"}, {file = "tiktoken-0.6.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:47fdcfe11bd55376785a6aea8ad1db967db7f66ea81aed5c43fad497521819a4"},
{file = "tiktoken-0.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2ed7d380195affbf886e2f8b92b14edfe13f4768ff5fc8de315adba5b773815e"}, {file = "tiktoken-0.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fb7d2ccbf1a7784810aff6b80b4012fb42c6fc37eaa68cb3b553801a5cc2d1fc"},
{file = "tiktoken-0.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c76fce01309c8140ffe15eb34ded2bb94789614b7d1d09e206838fc173776a18"}, {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ccb7a111ee76af5d876a729a347f8747d5ad548e1487eeea90eaf58894b3138"},
{file = "tiktoken-0.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60a5654d6a2e2d152637dd9a880b4482267dfc8a86ccf3ab1cec31a8c76bfae8"}, {file = "tiktoken-0.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2048e1086b48e3c8c6e2ceeac866561374cd57a84622fa49a6b245ffecb7744"},
{file = "tiktoken-0.5.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:41d4d3228e051b779245a8ddd21d4336f8975563e92375662f42d05a19bdff41"}, {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:07f229a5eb250b6403a61200199cecf0aac4aa23c3ecc1c11c1ca002cbb8f159"},
{file = "tiktoken-0.5.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c1cdec2c92fcde8c17a50814b525ae6a88e8e5b02030dc120b76e11db93f13"}, {file = "tiktoken-0.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:432aa3be8436177b0db5a2b3e7cc28fd6c693f783b2f8722539ba16a867d0c6a"},
{file = "tiktoken-0.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:84ddb36faedb448a50b246e13d1b6ee3437f60b7169b723a4b2abad75e914f3e"}, {file = "tiktoken-0.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:8bfe8a19c8b5c40d121ee7938cd9c6a278e5b97dc035fd61714b4f0399d2f7a1"},
{file = "tiktoken-0.5.2.tar.gz", hash = "sha256:f54c581f134a8ea96ce2023ab221d4d4d81ab614efa0b2fbce926387deb56c80"}, {file = "tiktoken-0.6.0.tar.gz", hash = "sha256:ace62a4ede83c75b0374a2ddfa4b76903cf483e9cb06247f566be3bf14e6beed"},
] ]
[package.dependencies] [package.dependencies]
@ -9135,13 +9039,13 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
[[package]] [[package]]
name = "typer" name = "typer"
version = "0.12.1" version = "0.12.2"
description = "Typer, build great CLIs. Easy to code. Based on Python type hints." description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "typer-0.12.1-py3-none-any.whl", hash = "sha256:43ebb23c8a358c3d623e31064359a65f50229d0bf73ae8dfd203f49d9126ae06"}, {file = "typer-0.12.2-py3-none-any.whl", hash = "sha256:e1accbaa7e2b2350753acec896ac30493ac573211a8d4603e88f8356217e01f7"},
{file = "typer-0.12.1.tar.gz", hash = "sha256:72d218ef3c686aed9c6ff3ca25b238aee0474a1628b29c559b18b634cfdeca88"}, {file = "typer-0.12.2.tar.gz", hash = "sha256:977929604fde12aeada011852ad9c64370501be6ac2eac248f3161cdc9eeb7c9"},
] ]
[package.dependencies] [package.dependencies]
@ -9268,13 +9172,13 @@ files = [
[[package]] [[package]]
name = "types-redis" name = "types-redis"
version = "4.6.0.20240311" version = "4.6.0.20240409"
description = "Typing stubs for redis" description = "Typing stubs for redis"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "types-redis-4.6.0.20240311.tar.gz", hash = "sha256:e049bbdff0e0a1f8e701b64636811291d21bff79bf1e7850850a44055224a85f"}, {file = "types-redis-4.6.0.20240409.tar.gz", hash = "sha256:ce217c279581d769df992c5b76d61c65425b0a679626048e633e643868eb881b"},
{file = "types_redis-4.6.0.20240311-py3-none-any.whl", hash = "sha256:6b9d68a29aba1ee400c823d8e5fe88675282eb69d7211e72fe65dbe54b33daca"}, {file = "types_redis-4.6.0.20240409-py3-none-any.whl", hash = "sha256:a3b92760c49a034827a0c3825206728df4e61e981c1324099d4414335af4f52f"},
] ]
[package.dependencies] [package.dependencies]

4
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "langflow" name = "langflow"
version = "1.0.0a9" version = "1.0.0a12"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
maintainers = [ maintainers = [
@ -12,7 +12,7 @@ maintainers = [
"Otávio Anovazzi <otavio2204@gmail.com>", "Otávio Anovazzi <otavio2204@gmail.com>",
"Rodrigo Nader <rodrigo@logspace.ai>", "Rodrigo Nader <rodrigo@logspace.ai>",
] ]
repository = "https://github.com/logspace-ai/langflow" repository = "https://github.com/langflow-ai/langflow"
license = "MIT" license = "MIT"
readme = "README.md" readme = "README.md"
keywords = ["nlp", "langchain", "openai", "gpt", "gui"] keywords = ["nlp", "langchain", "openai", "gpt", "gui"]

2
render.yaml
View file

@ -4,7 +4,7 @@ services:
name: langflow name: langflow
runtime: docker runtime: docker
dockerfilePath: ./Dockerfile dockerfilePath: ./Dockerfile
repo: https://github.com/logspace-ai/langflow repo: https://github.com/langflow-ai/langflow
branch: main branch: main
healthCheckPath: /health healthCheckPath: /health
autoDeploy: false autoDeploy: false

10
scripts/aws/README.ja.md
View file

@ -3,6 +3,7 @@
**想定時間**: 30 分 **想定時間**: 30 分
## 説明 ## 説明
Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK) を用いて Langflow を AWS 上にデプロイする方法を学べます。 Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK) を用いて Langflow を AWS 上にデプロイする方法を学べます。
このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。 このチュートリアルは、AWS アカウントと AWS に関する基本的な知識を有していることを前提としています。
@ -10,12 +11,14 @@ Langflow on AWS では、 [AWS Cloud Development Kit](https://aws.amazon.com/cdk
![langflow-archi](./img/langflow-archi.png) ![langflow-archi](./img/langflow-archi.png)
AWS CDK によって Langflow のアプリケーションをデプロイします。アプリケーションは [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls) を介して配信されます。CloudFront は 2 つのオリジンを有しています。1 つ目は静的な Web サイトを配信するための [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3)、2 つ目は バックエンドと通信するための [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) です。ALB の背後には FastAPI が動作する [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) 、データベースの [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) が作成されます。 AWS CDK によって Langflow のアプリケーションをデプロイします。アプリケーションは [Amazon CloudFront](https://aws.amazon.com/cloudfront/?nc1=h_ls) を介して配信されます。CloudFront は 2 つのオリジンを有しています。1 つ目は静的な Web サイトを配信するための [Amazon Simple Storage Service](https://aws.amazon.com/s3/?nc1=h_ls) (S3)、2 つ目は バックエンドと通信するための [Application Load Balancer](https://aws.amazon.com/elasticloadbalancing/application-load-balancer/?nc1=h_ls) (ALB) です。ALB の背後には FastAPI が動作する [AWS Fargate](https://aws.amazon.com/fargate/?nc2=type_a) 、データベースの [Amazon Aurora](https://aws.amazon.com/rds/aurora/?nc2=type_a) が作成されます。
Fargate は [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR) に保存された Docker イメージを使用します。 Fargate は [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/?nc1=h_ls) (ECR) に保存された Docker イメージを使用します。
Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。 Aurora のシークレットは [AWS Secrets Manager](https://aws.amazon.com/secrets-manager/?nc2=type_a) によって管理されます。
# 環境構築とデプロイ方法 # 環境構築とデプロイ方法
1. [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。 1. [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1)を開きます。
1. 以下のコマンドを実行します。 1. 以下のコマンドを実行します。
```shell ```shell
git clone https://github.com/aws-samples/cloud9-setup-for-prototyping git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
cd cloud9-setup-for-prototyping cd cloud9-setup-for-prototyping
@ -27,7 +30,7 @@ Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secr
1. 以下のコマンドを実行します。 1. 以下のコマンドを実行します。
```shell ```shell
git clone https://github.com/logspace-ai/langflow.git git clone https://github.com/langflow-ai/langflow.git
cd langflow/scripts/aws cd langflow/scripts/aws
cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。 cp .env.example .env # 環境設定を変える場合はこのファイル(.env)を編集してください。
npm ci npm ci
@ -43,11 +46,12 @@ Auroraのシークレットは [AWS Secrets Manager](https://aws.amazon.com/secr
![make-cloud9](./img/langflow-signin.png) ![make-cloud9](./img/langflow-signin.png)
# 環境の削除 # 環境の削除
1. `Cloud9` で以下のコマンドを実行します。 1. `Cloud9` で以下のコマンドを実行します。
```shell ```shell
bash delete-resources.sh bash delete-resources.sh
``` ```
1. [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。 1. [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started)を開き、`aws-cloud9-cloud9-for-prototyping-XXXX` を選択して削除します。
![delete-cfn](./img/langflow-cfn.png) ![delete-cfn](./img/langflow-cfn.png)

4
scripts/aws/README.md
View file

@ -27,7 +27,7 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
![make-cloud9](./img/langflow-cloud9-en.png) ![make-cloud9](./img/langflow-cloud9-en.png)
1. Run the following command in the Cloud9 terminal. 1. Run the following command in the Cloud9 terminal.
```shell ```shell
git clone https://github.com/logspace-ai/langflow.git git clone https://github.com/langflow-ai/langflow.git
cd langflow/scripts/aws cd langflow/scripts/aws
cp .env.example .env # Edit this file if you need environment settings cp .env.example .env # Edit this file if you need environment settings
npm ci npm ci
@ -50,4 +50,4 @@ Aurora's secret is managed by [AWS Secrets Manager](https://aws.amazon.com/secre
``` ```
1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-c9-for-langflow-XXXX` and delete it. 1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-c9-for-langflow-XXXX` and delete it.
![delete-cfn](./img/langflow-cfn.png) ![delete-cfn](./img/langflow-cfn.png)
s s

83
src/backend/base/langflow/__main__.py
View file

@ -9,11 +9,6 @@ import click
import httpx import httpx
import typer import typer
from dotenv import load_dotenv from dotenv import load_dotenv
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service, get_settings_service
from langflow.services.utils import initialize_services, initialize_settings_service
from langflow.utils.logger import configure, logger
from multiprocess import Process, cpu_count # type: ignore from multiprocess import Process, cpu_count # type: ignore
from packaging import version as pkg_version from packaging import version as pkg_version
from rich import box from rich import box
@ -22,6 +17,12 @@ from rich.console import Console
from rich.panel import Panel from rich.panel import Panel
from rich.table import Table from rich.table import Table
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service, get_settings_service
from langflow.services.utils import initialize_services, initialize_settings_service
from langflow.utils.logger import configure, logger
console = Console() console = Console()
app = typer.Typer(no_args_is_help=True) app = typer.Typer(no_args_is_help=True)
@ -99,12 +100,8 @@ def update_settings(
@app.command() @app.command()
def run( def run(
host: str = typer.Option( host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
"127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST" workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
),
workers: int = typer.Option(
1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"
),
timeout: int = typer.Option(300, help="Worker timeout in seconds."), timeout: int = typer.Option(300, help="Worker timeout in seconds."),
port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"), port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
components_path: Optional[Path] = typer.Option( components_path: Optional[Path] = typer.Option(
@ -112,19 +109,11 @@ def run(
help="Path to the directory containing custom components.", help="Path to the directory containing custom components.",
envvar="LANGFLOW_COMPONENTS_PATH", envvar="LANGFLOW_COMPONENTS_PATH",
), ),
config: str = typer.Option( config: str = typer.Option(Path(__file__).parent / "config.yaml", help="Path to the configuration file."),
Path(__file__).parent / "config.yaml", help="Path to the configuration file."
),
# .env file param # .env file param
env_file: Path = typer.Option( env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."),
None, help="Path to the .env file containing environment variables." log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
), log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"),
log_level: str = typer.Option(
"critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"
),
log_file: Path = typer.Option(
"logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"
),
cache: Optional[str] = typer.Option( cache: Optional[str] = typer.Option(
envvar="LANGFLOW_LANGCHAIN_CACHE", envvar="LANGFLOW_LANGCHAIN_CACHE",
help="Type of cache to use. (InMemoryCache, SQLiteCache)", help="Type of cache to use. (InMemoryCache, SQLiteCache)",
@ -200,7 +189,7 @@ def run(
run_on_windows(host, port, log_level, options, app) run_on_windows(host, port, log_level, options, app)
else: else:
# Run using gunicorn on Linux # Run using gunicorn on Linux
run_on_mac_or_linux(host, port, log_level, options, app, open_browser) run_on_mac_or_linux(host, port, log_level, options, app)
if open_browser: if open_browser:
click.launch(f"http://{host}:{port}") click.launch(f"http://{host}:{port}")
@ -218,9 +207,7 @@ def wait_for_server_ready(host, port):
def run_on_mac_or_linux(host, port, log_level, options, app): def run_on_mac_or_linux(host, port, log_level, options, app):
webapp_process = Process( webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app))
target=run_langflow, args=(host, port, log_level, options, app)
)
webapp_process.start() webapp_process.start()
wait_for_server_ready(host, port) wait_for_server_ready(host, port)
@ -316,9 +303,7 @@ def build_new_version_notice(current_version: str, package_name: str):
f"A new pre-release version of {package_name} is available: {latest_version}", f"A new pre-release version of {package_name} is available: {latest_version}",
) )
else: else:
latest_version = httpx.get(f"https://pypi.org/pypi/{package_name}/json").json()[ latest_version = httpx.get(f"https://pypi.org/pypi/{package_name}/json").json()["info"]["version"]
"info"
]["version"]
if not version_is_prerelease(latest_version): if not version_is_prerelease(latest_version):
return ( return (
False, False,
@ -342,9 +327,7 @@ def fetch_latest_version(package_name: str, include_prerelease: bool) -> str:
def build_version_notice(current_version: str, package_name: str) -> str: def build_version_notice(current_version: str, package_name: str) -> str:
latest_version = fetch_latest_version(package_name, is_prerelease(current_version)) latest_version = fetch_latest_version(package_name, is_prerelease(current_version))
if latest_version and pkg_version.parse(current_version) < pkg_version.parse( if latest_version and pkg_version.parse(current_version) < pkg_version.parse(latest_version):
latest_version
):
release_type = "pre-release" if is_prerelease(latest_version) else "version" release_type = "pre-release" if is_prerelease(latest_version) else "version"
return f"A new {release_type} of {package_name} is available: {latest_version}" return f"A new {release_type} of {package_name} is available: {latest_version}"
return "" return ""
@ -393,9 +376,7 @@ def print_banner(host: str, port: int):
from importlib import metadata from importlib import metadata
langflow_base_version = metadata.version("langflow-base") langflow_base_version = metadata.version("langflow-base")
is_pre_release |= is_prerelease( is_pre_release |= is_prerelease(langflow_base_version) # Update pre-release status
langflow_base_version
) # Update pre-release status
notice = build_version_notice(langflow_base_version, "langflow-base") notice = build_version_notice(langflow_base_version, "langflow-base")
notice = stylize_text(notice, "langflow-base", is_pre_release) notice = stylize_text(notice, "langflow-base", is_pre_release)
if notice: if notice:
@ -414,12 +395,10 @@ def print_banner(host: str, port: int):
notices.append(f"Run '{pip_command}' to update.") notices.append(f"Run '{pip_command}' to update.")
styled_notices = [f"[bold]{notice}[/bold]" for notice in notices if notice] styled_notices = [f"[bold]{notice}[/bold]" for notice in notices if notice]
styled_package_name = stylize_text( styled_package_name = stylize_text(package_name, package_name, any("pre-release" in notice for notice in notices))
package_name, package_name, any("pre-release" in notice for notice in notices)
)
title = f"[bold]Welcome to :chains: {styled_package_name}[/bold]\n" title = f"[bold]Welcome to :chains: {styled_package_name}[/bold]\n"
info_text = "Collaborate, and contribute at our [bold][link=https://github.com/logspace-ai/langflow]GitHub Repo[/link][/bold] :rocket:" info_text = "Collaborate, and contribute at our [bold][link=https://github.com/langflow-ai/langflow]GitHub Repo[/link][/bold] :rocket:"
access_link = f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]" access_link = f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
panel_content = "\n\n".join([title, *styled_notices, info_text, access_link]) panel_content = "\n\n".join([title, *styled_notices, info_text, access_link])
@ -459,12 +438,8 @@ def run_langflow(host, port, log_level, options, app):
@app.command() @app.command()
def superuser( def superuser(
username: str = typer.Option(..., prompt=True, help="Username for the superuser."), username: str = typer.Option(..., prompt=True, help="Username for the superuser."),
password: str = typer.Option( password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."),
..., prompt=True, hide_input=True, help="Password for the superuser." log_level: str = typer.Option("error", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
),
log_level: str = typer.Option(
"error", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"
),
): ):
""" """
Create a superuser. Create a superuser.
@ -491,11 +466,23 @@ def superuser(
@app.command() @app.command()
def migration(test: bool = typer.Option(True, help="Run migrations in test mode.")): def migration(
test: bool = typer.Option(True, help="Run migrations in test mode."),
fix: bool = typer.Option(
False,
help="Fix migrations. This is a destructive operation, and should only be used if you know what you are doing.",
),
):
""" """
Run or test migrations. Run or test migrations.
""" """
initialize_services() if fix:
if not typer.confirm(
"This will delete all data necessary to fix migrations. Are you sure you want to continue?"
):
raise typer.Abort()
initialize_services(fix_migration=fix)
db_service = get_db_service() db_service = get_db_service()
if not test: if not test:
db_service.run_migrations() db_service.run_migrations()

1
src/backend/base/langflow/base/constants.py
View file

@ -24,4 +24,5 @@ FIELD_FORMAT_ATTRIBUTES = [
"real_time_refresh", "real_time_refresh",
"refresh_button", "refresh_button",
"refresh_button_text", "refresh_button_text",
"options",
] ]

21
src/backend/base/langflow/base/data/utils.py
View file

@ -10,7 +10,26 @@ from langflow.schema.schema import Record
# Types of files that can be read simply by file.read() # Types of files that can be read simply by file.read()
# and have 100% to be completely readable # and have 100% to be completely readable
TEXT_FILE_TYPES = ["txt", "md", "mdx", "csv", "json", "yaml", "yml", "xml", "html", "htm", "pdf", "docx"] TEXT_FILE_TYPES = [
"txt",
"md",
"mdx",
"csv",
"json",
"yaml",
"yml",
"xml",
"html",
"htm",
"pdf",
"docx",
"py",
"sh",
"sql",
"js",
"ts",
"tsx",
]
def is_hidden(path: Path) -> bool: def is_hidden(path: Path) -> bool:

0
src/backend/base/langflow/base/tools/__init__.py Normal file
View file

23
src/backend/base/langflow/base/tools/base.py Normal file
View file

@ -0,0 +1,23 @@
from langflow.field_typing import Tool
def build_status_from_tool(tool: Tool):
"""
Builds a status string representation of a tool.
Args:
tool (Tool): The tool object to build the status for.
Returns:
str: The status string representation of the tool, including its name, description, and arguments (if any).
"""
description_repr = repr(tool.description).strip("'")
args_str = "\n".join(
[
f"- {arg_name}: {arg_data['description']}"
for arg_name, arg_data in tool.args.items()
if "description" in arg_data
]
)
status = f"Name: {tool.name}\nDescription: {description_repr}"
return status + (f"\nArguments:\n{args_str}" if args_str else "")

4
src/backend/base/langflow/components/agents/XMLAgent.py
View file

@ -4,7 +4,7 @@ from langchain.agents import create_xml_agent
from langchain_core.prompts import PromptTemplate from langchain_core.prompts import PromptTemplate
from langflow.base.agents.agent import LCAgentComponent from langflow.base.agents.agent import LCAgentComponent
from langflow.field_typing import BaseLLM, BaseMemory, Text, Tool from langflow.field_typing import BaseLanguageModel, BaseMemory, Text, Tool
class XMLAgentComponent(LCAgentComponent): class XMLAgentComponent(LCAgentComponent):
@ -66,7 +66,7 @@ class XMLAgentComponent(LCAgentComponent):
async def build( async def build(
self, self,
input_value: str, input_value: str,
llm: BaseLLM, llm: BaseLanguageModel,
tools: List[Tool], tools: List[Tool],
prompt: str, prompt: str,
memory: Optional[BaseMemory] = None, memory: Optional[BaseMemory] = None,

5
src/backend/base/langflow/components/model_specs/AmazonBedrockSpecs.py
View file

@ -1,6 +1,5 @@
from typing import Optional from typing import Optional
from langflow.field_typing import BaseLanguageModel
from langchain.llms.base import BaseLLM
from langchain_community.llms.bedrock import Bedrock from langchain_community.llms.bedrock import Bedrock
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -46,7 +45,7 @@ class AmazonBedrockComponent(CustomComponent):
endpoint_url: Optional[str] = None, endpoint_url: Optional[str] = None,
streaming: bool = False, streaming: bool = False,
cache: Optional[bool] = None, cache: Optional[bool] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
try: try:
output = Bedrock( output = Bedrock(
credentials_profile_name=credentials_profile_name, credentials_profile_name=credentials_profile_name,

6
src/backend/base/langflow/components/model_specs/AnthropicLLMSpecs.py
View file

@ -1,14 +1,14 @@
from typing import Optional from typing import Optional
from langchain.llms.base import BaseLanguageModel from langchain.llms.base import BaseLanguageModel
from langchain_community.chat_models.anthropic import ChatAnthropic from langchain_anthropic import ChatAnthropic
from pydantic.v1 import SecretStr from pydantic.v1 import SecretStr
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
class AnthropicLLM(CustomComponent): class ChatAntropicSpecsComponent(CustomComponent):
display_name: str = "AnthropicLLM" display_name: str = "Anthropic"
description: str = "Anthropic Chat&Completion large language models." description: str = "Anthropic Chat&Completion large language models."
icon = "Anthropic" icon = "Anthropic"

49
src/backend/base/langflow/components/model_specs/AnthropicSpecs.py
View file

@ -1,49 +0,0 @@
from typing import Optional
from langchain_community.llms.anthropic import Anthropic
from pydantic.v1 import SecretStr
from langflow.field_typing import BaseLanguageModel, NestedDict
from langflow.interface.custom.custom_component import CustomComponent
class AnthropicComponent(CustomComponent):
display_name = "Anthropic"
description = "Anthropic large language models."
icon = "Anthropic"
def build_config(self):
return {
"anthropic_api_key": {
"display_name": "Anthropic API Key",
"type": str,
"password": True,
},
"anthropic_api_url": {
"display_name": "Anthropic API URL",
"type": str,
},
"model_kwargs": {
"display_name": "Model Kwargs",
"field_type": "NestedDict",
"advanced": True,
},
"temperature": {
"display_name": "Temperature",
"field_type": "float",
},
}
def build(
self,
anthropic_api_key: str,
anthropic_api_url: str,
model_kwargs: NestedDict = {},
temperature: Optional[float] = None,
) -> BaseLanguageModel:
return Anthropic(
anthropic_api_key=SecretStr(anthropic_api_key),
anthropic_api_url=anthropic_api_url,
model_kwargs=model_kwargs,
temperature=temperature,
)

4
src/backend/base/langflow/components/model_specs/BaiduQianfanChatEndpointsSpecs.py
View file

@ -1,9 +1,9 @@
from typing import Optional from typing import Optional
from langchain.llms.base import BaseLLM
from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint from langchain_community.chat_models.baidu_qianfan_endpoint import QianfanChatEndpoint
from pydantic.v1 import SecretStr from pydantic.v1 import SecretStr
from langflow.field_typing import BaseLanguageModel
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -79,7 +79,7 @@ class QianfanChatEndpointComponent(CustomComponent):
temperature: Optional[float] = None, temperature: Optional[float] = None,
penalty_score: Optional[float] = None, penalty_score: Optional[float] = None,
endpoint: Optional[str] = None, endpoint: Optional[str] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
try: try:
output = QianfanChatEndpoint( # type: ignore output = QianfanChatEndpoint( # type: ignore
model=model, model=model,

4
src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
View file

@ -1,9 +1,9 @@
from typing import Optional from typing import Optional
from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
from langchain.llms.base import BaseLLM
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langflow.field_typing import BaseLanguageModel
class QianfanLLMEndpointComponent(CustomComponent): class QianfanLLMEndpointComponent(CustomComponent):
@ -78,7 +78,7 @@ class QianfanLLMEndpointComponent(CustomComponent):
temperature: Optional[float] = None, temperature: Optional[float] = None,
penalty_score: Optional[float] = None, penalty_score: Optional[float] = None,
endpoint: Optional[str] = None, endpoint: Optional[str] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
try: try:
output = QianfanLLMEndpoint( # type: ignore output = QianfanLLMEndpoint( # type: ignore
model=model, model=model,

104
src/backend/base/langflow/components/model_specs/ChatAnthropicSpecs.py
View file

@ -1,67 +1,89 @@
from typing import Callable, Optional, Union from typing import Optional
from langchain_community.chat_models.anthropic import ChatAnthropic from langchain_anthropic import ChatAnthropic
from pydantic.v1.types import SecretStr from pydantic.v1.types import SecretStr
from langflow.custom import CustomComponent from langflow.custom import CustomComponent
from langflow.field_typing import BaseLanguageModel from langflow.field_typing import BaseLanguageModel
class ChatAnthropicComponent(CustomComponent): class AnthropicLLM(CustomComponent):
display_name = "ChatAnthropic" display_name: str = "Anthropic"
description = "`Anthropic` chat large language models." description: str = "Generate text using Anthropic Chat&Completion LLMs."
documentation = "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
icon = "Anthropic" icon = "Anthropic"
field_order = [
"model",
"anthropic_api_key",
"max_tokens",
"temperature",
"anthropic_api_url",
]
def build_config(self): def build_config(self):
return { return {
"model": {
"display_name": "Model Name",
"options": [
"claude-3-opus-20240229",
"claude-3-sonnet-20240229",
"claude-3-haiku-20240307",
"claude-2.1",
"claude-2.0",
"claude-instant-1.2",
"claude-instant-1",
],
"info": "Name of the model to use.",
"required": True,
"value": "claude-3-opus-20240229",
},
"anthropic_api_key": { "anthropic_api_key": {
"display_name": "Anthropic API Key", "display_name": "Anthropic API Key",
"field_type": "str", "required": True,
"password": True, "password": True,
}, "info": "Your Anthropic API key.",
"model_kwargs": {
"display_name": "Model Kwargs",
"field_type": "dict",
"advanced": True,
},
"model_name": {
"display_name": "Model Name",
"field_type": "str",
"advanced": False,
"required": False,
"options": ["claude-3-opus-20240229", "claude-3-sonnet-20240229", "claude-3-haiku-20240307"],
},
"temperature": {
"display_name": "Temperature",
"field_type": "float",
}, },
"max_tokens": { "max_tokens": {
"display_name": "Max Tokens", "display_name": "Max Tokens",
"field_type": "int", "field_type": "int",
"advanced": False, "advanced": True,
"required": False, "value": 256,
}, },
"top_k": {"display_name": "Top K", "field_type": "int", "advanced": True}, "temperature": {
"top_p": {"display_name": "Top P", "field_type": "float", "advanced": True}, "display_name": "Temperature",
"field_type": "float",
"value": 0.1,
},
"anthropic_api_url": {
"display_name": "Anthropic API URL",
"advanced": True,
"info": "Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.",
},
"code": {"show": False},
} }
def build( def build(
self, self,
anthropic_api_key: str, model: str,
model_kwargs: dict = {}, anthropic_api_key: Optional[str] = None,
model_name: str = "claude-3-opus-20240229", max_tokens: Optional[int] = None,
temperature: Optional[float] = None, temperature: Optional[float] = None,
max_tokens: Optional[int] = 1024, anthropic_api_url: Optional[str] = None,
top_k: Optional[int] = None, ) -> BaseLanguageModel:
top_p: Optional[float] = None, # Set default API endpoint if not provided
) -> Union[BaseLanguageModel, Callable]: if not anthropic_api_url:
return ChatAnthropic( anthropic_api_url = "https://api.anthropic.com"
anthropic_api_key=SecretStr(anthropic_api_key),
model_kwargs=model_kwargs, try:
model_name=model_name, output = ChatAnthropic(
model_name=model,
anthropic_api_key=(SecretStr(anthropic_api_key) if anthropic_api_key else None),
max_tokens_to_sample=max_tokens, # type: ignore
temperature=temperature, temperature=temperature,
max_tokens=max_tokens, # type: ignore anthropic_api_url=anthropic_api_url,
top_k=top_k,
top_p=top_p,
) )
except Exception as e:
raise ValueError("Could not connect to Anthropic API.") from e
return output

2
src/backend/base/langflow/components/model_specs/ChatLiteLLMSpecs.py
View file

@ -1,4 +1,4 @@
from typing import Any, Callable, Dict, Optional, Union from typing import Any, Dict, Optional
from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
from langflow.field_typing import BaseLanguageModel from langflow.field_typing import BaseLanguageModel

8
src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py
View file

@ -1,9 +1,9 @@
from typing import Optional, Union from typing import Optional
from langchain.llms import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain_community.chat_models.openai import ChatOpenAI from langchain_community.chat_models.openai import ChatOpenAI
from langflow.field_typing import BaseLanguageModel, NestedDict from langflow.field_typing import NestedDict
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -68,7 +68,7 @@ class ChatOpenAIComponent(CustomComponent):
openai_api_base: Optional[str] = None, openai_api_base: Optional[str] = None,
openai_api_key: Optional[str] = None, openai_api_key: Optional[str] = None,
temperature: float = 0.7, temperature: float = 0.7,
) -> Union[BaseLanguageModel, BaseLLM]: ) -> BaseLanguageModel:
if not openai_api_base: if not openai_api_base:
openai_api_base = "https://api.openai.com/v1" openai_api_base = "https://api.openai.com/v1"
return ChatOpenAI( return ChatOpenAI(

5
src/backend/base/langflow/components/model_specs/ChatVertexAISpecs.py
View file

@ -1,6 +1,5 @@
from typing import List, Optional, Union from typing import List, Optional
from langchain.llms import BaseLLM
from langchain_community.chat_models.vertexai import ChatVertexAI from langchain_community.chat_models.vertexai import ChatVertexAI
from langchain_core.messages.base import BaseMessage from langchain_core.messages.base import BaseMessage
@ -74,7 +73,7 @@ class ChatVertexAIComponent(CustomComponent):
top_k: int = 40, top_k: int = 40,
top_p: float = 0.95, top_p: float = 0.95,
verbose: bool = False, verbose: bool = False,
) -> Union[BaseLanguageModel, BaseLLM]: ) -> BaseLanguageModel:
return ChatVertexAI( return ChatVertexAI(
credentials=credentials, credentials=credentials,
examples=examples, examples=examples,

4
src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
View file

@ -1,6 +1,6 @@
from typing import Optional from typing import Optional
from langchain.llms.base import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -32,7 +32,7 @@ class HuggingFaceEndpointsComponent(CustomComponent):
task: str = "text2text-generation", task: str = "text2text-generation",
huggingfacehub_api_token: Optional[str] = None, huggingfacehub_api_token: Optional[str] = None,
model_kwargs: Optional[dict] = None, model_kwargs: Optional[dict] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
try: try:
output = HuggingFaceEndpoint( # type: ignore output = HuggingFaceEndpoint( # type: ignore
endpoint_url=endpoint_url, endpoint_url=endpoint_url,

4
src/backend/base/langflow/components/model_specs/OllamaLLMSpecs.py
View file

@ -1,6 +1,6 @@
from typing import List, Optional from typing import List, Optional
from langchain.llms.base import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain_community.llms.ollama import Ollama from langchain_community.llms.ollama import Ollama
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -118,7 +118,7 @@ class OllamaLLM(CustomComponent):
tfs_z: Optional[float] = None, tfs_z: Optional[float] = None,
top_k: Optional[int] = None, top_k: Optional[int] = None,
top_p: Optional[int] = None, top_p: Optional[int] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
if not base_url: if not base_url:
base_url = "http://localhost:11434" base_url = "http://localhost:11434"

6
src/backend/base/langflow/components/model_specs/VertexAISpecs.py
View file

@ -1,6 +1,6 @@
from typing import Callable, Dict, Optional, Union from typing import Dict, Optional
from langchain.llms import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain_community.llms.vertexai import VertexAI from langchain_community.llms.vertexai import VertexAI
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -129,7 +129,7 @@ class VertexAIComponent(CustomComponent):
top_p: float = 0.95, top_p: float = 0.95,
tuned_model_name: Optional[str] = None, tuned_model_name: Optional[str] = None,
verbose: bool = False, verbose: bool = False,
) -> Union[BaseLLM, Callable]: ) -> BaseLanguageModel:
return VertexAI( return VertexAI(
credentials=credentials, credentials=credentials,
location=location, location=location,

7
src/backend/base/langflow/components/model_specs/__init__.py
View file

@ -1,6 +1,6 @@
from .AmazonBedrockSpecs import AmazonBedrockComponent from .AmazonBedrockSpecs import AmazonBedrockComponent
from .AnthropicLLMSpecs import AnthropicLLM from .AnthropicLLMSpecs import ChatAntropicSpecsComponent
from .AnthropicSpecs import AnthropicComponent
from .AzureChatOpenAISpecs import AzureChatOpenAISpecsComponent from .AzureChatOpenAISpecs import AzureChatOpenAISpecsComponent
from .BaiduQianfanChatEndpointsSpecs import QianfanChatEndpointComponent from .BaiduQianfanChatEndpointsSpecs import QianfanChatEndpointComponent
from .BaiduQianfanLLMEndpointsSpecs import QianfanLLMEndpointComponent from .BaiduQianfanLLMEndpointsSpecs import QianfanLLMEndpointComponent
@ -17,8 +17,7 @@ from .VertexAISpecs import VertexAIComponent
__all__ = [ __all__ = [
"AmazonBedrockComponent", "AmazonBedrockComponent",
"AnthropicLLM", "ChatAntropicSpecsComponent",
"AnthropicComponent",
"AzureChatOpenAISpecsComponent", "AzureChatOpenAISpecsComponent",
"QianfanChatEndpointComponent", "QianfanChatEndpointComponent",
"QianfanLLMEndpointComponent", "QianfanLLMEndpointComponent",

8
src/backend/base/langflow/components/retrievers/MultiQueryRetriever.py
View file

@ -1,8 +1,8 @@
from typing import Callable, Optional, Union from typing import Optional
from langchain.retrievers import MultiQueryRetriever from langchain.retrievers import MultiQueryRetriever
from langflow.field_typing import BaseLLM, BaseRetriever, PromptTemplate from langflow.field_typing import BaseRetriever, PromptTemplate, BaseLanguageModel
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -39,11 +39,11 @@ class MultiQueryRetrieverComponent(CustomComponent):
def build( def build(
self, self,
llm: BaseLLM, llm: BaseLanguageModel,
retriever: BaseRetriever, retriever: BaseRetriever,
prompt: Optional[PromptTemplate] = None, prompt: Optional[PromptTemplate] = None,
parser_key: str = "lines", parser_key: str = "lines",
) -> Union[Callable, MultiQueryRetriever]: ) -> MultiQueryRetriever:
if not prompt: if not prompt:
return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, parser_key=parser_key) return MultiQueryRetriever.from_llm(llm=llm, retriever=retriever, parser_key=parser_key)
else: else:

4
src/backend/base/langflow/components/toolkits/VectorStoreInfo.py
View file

@ -1,5 +1,3 @@
from typing import Callable, Union
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreInfo
from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores import VectorStore
@ -22,5 +20,5 @@ class VectorStoreInfoComponent(CustomComponent):
vectorstore: VectorStore, vectorstore: VectorStore,
description: str, description: str,
name: str, name: str,
) -> Union[VectorStoreInfo, Callable]: ) -> VectorStoreInfo:
return VectorStoreInfo(vectorstore=vectorstore, description=description, name=name) return VectorStoreInfo(vectorstore=vectorstore, description=description, name=name)

68
src/backend/base/langflow/components/tools/PythonREPLTool.py Normal file
View file

@ -0,0 +1,68 @@
import importlib
from langchain.agents import Tool
from langchain_experimental.utilities import PythonREPL
from langflow.base.tools.base import build_status_from_tool
from langflow.custom import CustomComponent
class PythonREPLToolComponent(CustomComponent):
display_name = "Python REPL Tool"
description = "A tool for running Python code in a REPL environment."
def build_config(self):
return {
"name": {"display_name": "Name", "info": "The name of the tool."},
"description": {"display_name": "Description", "info": "A description of the tool."},
"global_imports": {
"display_name": "Global Imports",
"info": "A list of modules to import globally, e.g. ['math', 'numpy'].",
},
}
def get_globals(self, globals: list[str]) -> dict:
"""
Retrieves the global variables from the specified modules.
Args:
globals (list[str]): A list of module names.
Returns:
dict: A dictionary containing the global variables from the specified modules.
"""
global_dict = {}
for module in globals:
try:
module = importlib.import_module(module)
global_dict[module.__name__] = module
except ImportError:
print(f"Could not import module {module}")
return global_dict
def build(
self,
name: str = "python_repl",
description: str = "A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`.",
global_imports: list[str] = ["math"],
) -> Tool:
"""
Builds a Python REPL tool.
Args:
name (str, optional): The name of the tool. Defaults to "python_repl".
description (str, optional): The description of the tool. Defaults to "A Python shell. Use this to execute python commands. Input should be a valid python command. If you want to see the output of a value, you should print it out with `print(...)`. ".
global_imports (list[str], optional): A list of global imports to be available in the Python REPL. Defaults to ["math"].
Returns:
Tool: The built Python REPL tool.
"""
_globals = self.get_globals(global_imports)
python_repl = PythonREPL(_globals=_globals)
tool = Tool(
name=name,
description=description,
func=python_repl.run,
)
self.status = build_status_from_tool(tool)
return tool

6
src/backend/base/langflow/components/tools/__init__.py
View file

@ -1,5 +1,7 @@
from .PythonREPLTool import PythonREPLToolComponent
from .RetrieverTool import RetrieverToolComponent from .RetrieverTool import RetrieverToolComponent
from .SearchAPITool import SearchApiToolComponent
from .SearchApi import SearchApi from .SearchApi import SearchApi
from .SearchAPITool import SearchApiToolComponent
__all__ = ["RetrieverToolComponent", "SearchApiToolComponent", "SearchApi"]
__all__ = ["RetrieverToolComponent", "SearchApiToolComponent", "SearchApi", "PythonREPLToolComponent"]

11
src/backend/base/langflow/graph/graph/base.py
View file

@ -249,7 +249,10 @@ class Graph:
vertex.update_raw_params({"session_id": session_id}) vertex.update_raw_params({"session_id": session_id})
# Process the graph # Process the graph
try: try:
await self.process() start_component_id = next(
(vertex_id for vertex_id in self._is_input_vertices if "chat" in vertex_id.lower()), None
)
await self.process(start_component_id=start_component_id)
self.increment_run_count() self.increment_run_count()
except Exception as exc: except Exception as exc:
logger.exception(exc) logger.exception(exc)
@ -345,7 +348,7 @@ class Graph:
if types is None: if types is None:
types = [] types = []
for _ in range(len(inputs) - len(types)): for _ in range(len(inputs) - len(types)):
types.append("any") types.append("chat") # default to chat
for run_inputs, components, input_type in zip(inputs, inputs_components, types): for run_inputs, components, input_type in zip(inputs, inputs_components, types):
run_outputs = await self._run( run_outputs = await self._run(
inputs=run_inputs, inputs=run_inputs,
@ -733,8 +736,10 @@ class Graph:
vertices.append(vertex) vertices.append(vertex)
return vertices return vertices
async def process(self) -> "Graph": async def process(self, start_component_id: Optional[str] = None) -> "Graph":
"""Processes the graph with vertices in each layer run in parallel.""" """Processes the graph with vertices in each layer run in parallel."""
self.sort_vertices(start_component_id=start_component_id)
vertices_layers = self.sorted_vertices_layers vertices_layers = self.sorted_vertices_layers
vertex_task_run_count: Dict[str, int] = {} vertex_task_run_count: Dict[str, int] = {}
for layer_index, layer in enumerate(vertices_layers): for layer_index, layer in enumerate(vertices_layers):

5
src/backend/base/langflow/graph/vertex/base.py
View file

@ -1,10 +1,10 @@
import ast import ast
import asyncio import asyncio
import inspect import inspect
import os
import types import types
from enum import Enum from enum import Enum
from typing import TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Optional from typing import TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Optional
import os
from loguru import logger from loguru import logger
@ -315,7 +315,8 @@ class Vertex:
raise e raise e
params[field_name] = full_path params[field_name] = full_path
elif field.get("required"): elif field.get("required"):
raise ValueError(f"File path not found for {self.display_name}") field_display_name = field.get("display_name")
raise ValueError(f"File path not found for {field_display_name} in component {self.display_name}")
elif field.get("type") in DIRECT_TYPES and params.get(field_name) is None: elif field.get("type") in DIRECT_TYPES and params.get(field_name) is None:
val = field.get("value") val = field.get("value")
if field.get("type") == "code": if field.get("type") == "code":

2
src/backend/base/langflow/initial_setup/setup.py
View file

@ -84,7 +84,7 @@ def log_node_changes(node_changes_log):
logger.debug("\n".join(formatted_messages)) logger.debug("\n".join(formatted_messages))
def load_starter_projects(): def load_starter_projects() -> list[tuple[Path, dict]]:
starter_projects = [] starter_projects = []
folder = Path(__file__).parent / "starter_projects" folder = Path(__file__).parent / "starter_projects"
for file in folder.glob("*.json"): for file in folder.glob("*.json"):

2
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
View file

@ -882,7 +882,7 @@
} }
}, },
"description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ", "description": "This flow will get you experimenting with the basics of the UI, the Chat and the Prompt component. \n\nTry changing the Template in it to see how the model behaves. \nYou can change it to this and a Text Input into the `type_of_person` variable : \"Answer the user as if you were a pirate.\n\nUser: {user_input}\n\nAnswer: \" ",
"name": "Basic Prompting (Hello, world!)", "name": "Basic Prompting (Hello, World)",
"last_tested_version": "1.0.0a4", "last_tested_version": "1.0.0a4",
"is_component": false "is_component": false
} }

10
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
View file

@ -1467,7 +1467,13 @@
".html", ".html",
".htm", ".htm",
".pdf", ".pdf",
".docx" ".docx",
".py",
".sh",
".sql",
".js",
".ts",
".tsx"
], ],
"file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf", "file_path": "51e2b78a-199b-4054-9f32-e288eef6924c/Langflow conversation.pdf",
"password": false, "password": false,
@ -1475,7 +1481,7 @@
"display_name": "Path", "display_name": "Path",
"advanced": false, "advanced": false,
"dynamic": false, "dynamic": false,
"info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx", "info": "Supported file types: txt, md, mdx, csv, json, yaml, yml, xml, html, htm, pdf, docx, py, sh, sql, js, ts, tsx",
"load_from_db": false, "load_from_db": false,
"title_case": false, "title_case": false,
"value": "" "value": ""

2
src/backend/base/langflow/processing/process.py
View file

@ -245,7 +245,7 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
logger.warning(f"Node {node.get('id')} does not have a tweak named {tweak_name}") logger.warning(f"Node {node.get('id')} does not have a tweak named {tweak_name}")
continue continue
if tweak_name in template_data: if tweak_name in template_data:
key = tweak_name if tweak_name == "file_path" else "value" key = "file_path" if template_data[tweak_name]["type"] == "file" else "value"
template_data[tweak_name][key] = tweak_value template_data[tweak_name][key] = tweak_value

6
src/backend/base/langflow/server.py
View file

@ -35,11 +35,7 @@ class LangflowApplication(BaseApplication):
super().__init__() super().__init__()
def load_config(self): def load_config(self):
config = { config = {key: value for key, value in self.options.items() if key in self.cfg.settings and value is not None}
key: value
for key, value in self.options.items()
if key in self.cfg.settings and value is not None
}
for key, value in config.items(): for key, value in config.items():
self.cfg.set(key.lower(), value) self.cfg.set(key.lower(), value)

39
src/backend/base/langflow/services/database/service.py
View file

@ -1,6 +1,5 @@
from datetime import datetime from datetime import datetime
import time import time
from datetime import datetime
from pathlib import Path from pathlib import Path
from typing import TYPE_CHECKING from typing import TYPE_CHECKING
@ -37,10 +36,7 @@ class DatabaseService(Service):
def _create_engine(self) -> "Engine": def _create_engine(self) -> "Engine":
"""Create the engine for the database.""" """Create the engine for the database."""
settings_service = get_settings_service() settings_service = get_settings_service()
if ( if settings_service.settings.DATABASE_URL and settings_service.settings.DATABASE_URL.startswith("sqlite"):
settings_service.settings.DATABASE_URL
and settings_service.settings.DATABASE_URL.startswith("sqlite")
):
connect_args = {"check_same_thread": False} connect_args = {"check_same_thread": False}
else: else:
connect_args = {} connect_args = {}
@ -52,9 +48,7 @@ class DatabaseService(Service):
def __exit__(self, exc_type, exc_value, traceback): def __exit__(self, exc_type, exc_value, traceback):
if exc_type is not None: # If an exception has been raised if exc_type is not None: # If an exception has been raised
logger.error( logger.error(f"Session rollback because of exception: {exc_type.__name__} {exc_value}")
f"Session rollback because of exception: {exc_type.__name__} {exc_value}"
)
self._session.rollback() self._session.rollback()
else: else:
self._session.commit() self._session.commit()
@ -71,9 +65,7 @@ class DatabaseService(Service):
settings_service = get_settings_service() settings_service = get_settings_service()
if settings_service.auth_settings.AUTO_LOGIN: if settings_service.auth_settings.AUTO_LOGIN:
with Session(self.engine) as session: with Session(self.engine) as session:
flows = session.exec( flows = session.exec(select(models.Flow).where(models.Flow.user_id is None)).all()
select(models.Flow).where(models.Flow.user_id is None)
).all()
if flows: if flows:
logger.debug("Migrating flows to default superuser") logger.debug("Migrating flows to default superuser")
username = settings_service.auth_settings.SUPERUSER username = settings_service.auth_settings.SUPERUSER
@ -103,9 +95,7 @@ class DatabaseService(Service):
expected_columns = list(model.model_fields.keys()) expected_columns = list(model.model_fields.keys())
try: try:
available_columns = [ available_columns = [col["name"] for col in inspector.get_columns(table)]
col["name"] for col in inspector.get_columns(table)
]
except sa.exc.NoSuchTableError: except sa.exc.NoSuchTableError:
logger.debug(f"Missing table: {table}") logger.debug(f"Missing table: {table}")
return False return False
@ -169,9 +159,7 @@ class DatabaseService(Service):
buffer.write(f"{datetime.now().isoformat()}: Checking migrations\n") buffer.write(f"{datetime.now().isoformat()}: Checking migrations\n")
command.check(alembic_cfg) command.check(alembic_cfg)
except Exception as exc: except Exception as exc:
if isinstance( if isinstance(exc, (util.exc.CommandError, util.exc.AutogenerateDiffsDetected)):
exc, (util.exc.CommandError, util.exc.AutogenerateDiffsDetected)
):
command.upgrade(alembic_cfg, "head") command.upgrade(alembic_cfg, "head")
time.sleep(3) time.sleep(3)
@ -208,10 +196,7 @@ class DatabaseService(Service):
# We will check that all models are in the database # We will check that all models are in the database
# and that the database is up to date with all columns # and that the database is up to date with all columns
sql_models = [models.Flow, models.User, models.ApiKey] sql_models = [models.Flow, models.User, models.ApiKey]
return [ return [TableResults(sql_model.__tablename__, self.check_table(sql_model)) for sql_model in sql_models]
TableResults(sql_model.__tablename__, self.check_table(sql_model))
for sql_model in sql_models
]
def check_table(self, model): def check_table(self, model):
results = [] results = []
@ -220,9 +205,7 @@ class DatabaseService(Service):
expected_columns = list(model.__fields__.keys()) expected_columns = list(model.__fields__.keys())
available_columns = [] available_columns = []
try: try:
available_columns = [ available_columns = [col["name"] for col in inspector.get_columns(table_name)]
col["name"] for col in inspector.get_columns(table_name)
]
results.append(Result(name=table_name, type="table", success=True)) results.append(Result(name=table_name, type="table", success=True))
except sa.exc.NoSuchTableError: except sa.exc.NoSuchTableError:
logger.error(f"Missing table: {table_name}") logger.error(f"Missing table: {table_name}")
@ -253,9 +236,7 @@ class DatabaseService(Service):
try: try:
table.create(self.engine, checkfirst=True) table.create(self.engine, checkfirst=True)
except OperationalError as oe: except OperationalError as oe:
logger.warning( logger.warning(f"Table {table} already exists, skipping. Exception: {oe}")
f"Table {table} already exists, skipping. Exception: {oe}"
)
except Exception as exc: except Exception as exc:
logger.error(f"Error creating table {table}: {exc}") logger.error(f"Error creating table {table}: {exc}")
raise RuntimeError(f"Error creating table {table}") from exc raise RuntimeError(f"Error creating table {table}") from exc
@ -267,9 +248,7 @@ class DatabaseService(Service):
if table not in table_names: if table not in table_names:
logger.error("Something went wrong creating the database and tables.") logger.error("Something went wrong creating the database and tables.")
logger.error("Please check your database settings.") logger.error("Please check your database settings.")
raise RuntimeError( raise RuntimeError("Something went wrong creating the database and tables.")
"Something went wrong creating the database and tables."
)
logger.debug("Database and tables created successfully") logger.debug("Database and tables created successfully")

4
src/backend/base/langflow/template/frontend_node/llms.py
View file

@ -63,8 +63,8 @@ class LLMFrontendNode(FrontendNode):
field.info = OPENAI_API_BASE_INFO field.info = OPENAI_API_BASE_INFO
def add_extra_base_classes(self) -> None: def add_extra_base_classes(self) -> None:
if "BaseLLM" not in self.base_classes: if "BaseLanguageModel" not in self.base_classes:
self.base_classes.append("BaseLLM") self.base_classes.append("BaseLanguageModel")
@staticmethod @staticmethod
def format_azure_field(field: TemplateField): def format_azure_field(field: TemplateField):

15
src/backend/base/langflow/utils/logger.py
View file

@ -26,10 +26,7 @@ def patching(record):
def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None): def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None):
if ( if os.getenv("LANGFLOW_LOG_LEVEL", "").upper() in VALID_LOG_LEVELS and log_level is None:
os.getenv("LANGFLOW_LOG_LEVEL", "").upper() in VALID_LOG_LEVELS
and log_level is None
):
log_level = os.getenv("LANGFLOW_LOG_LEVEL") log_level = os.getenv("LANGFLOW_LOG_LEVEL")
if log_level is None: if log_level is None:
log_level = "ERROR" log_level = "ERROR"
@ -77,11 +74,7 @@ def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None):
def setup_uvicorn_logger(): def setup_uvicorn_logger():
loggers = ( loggers = (logging.getLogger(name) for name in logging.root.manager.loggerDict if name.startswith("uvicorn."))
logging.getLogger(name)
for name in logging.root.manager.loggerDict
if name.startswith("uvicorn.")
)
for uvicorn_logger in loggers: for uvicorn_logger in loggers:
uvicorn_logger.handlers = [] uvicorn_logger.handlers = []
logging.getLogger("uvicorn").handlers = [InterceptHandler()] logging.getLogger("uvicorn").handlers = [InterceptHandler()]
@ -111,6 +104,4 @@ class InterceptHandler(logging.Handler):
frame = frame.f_back frame = frame.f_back
depth += 1 depth += 1
logger.opt(depth=depth, exception=record.exc_info).log( logger.opt(depth=depth, exception=record.exc_info).log(level, record.getMessage())
level, record.getMessage()
)

125
src/backend/base/poetry.lock generated
View file

@ -865,13 +865,13 @@ files = [
[[package]] [[package]]
name = "ecdsa" name = "ecdsa"
version = "0.18.0" version = "0.19.0"
description = "ECDSA cryptographic signature library (pure python)" description = "ECDSA cryptographic signature library (pure python)"
optional = false optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.6"
files = [ files = [
{file = "ecdsa-0.18.0-py2.py3-none-any.whl", hash = "sha256:80600258e7ed2f16b9aa1d7c295bd70194109ad5a30fdee0eaeefef1d4c559dd"}, {file = "ecdsa-0.19.0-py2.py3-none-any.whl", hash = "sha256:2cea9b88407fdac7bbeca0833b189e4c9c53f2ef1e1eaa29f6224dbc809b707a"},
{file = "ecdsa-0.18.0.tar.gz", hash = "sha256:190348041559e21b22a1d65cee485282ca11a6f81d503fddb84d5017e9ed1e49"}, {file = "ecdsa-0.19.0.tar.gz", hash = "sha256:60eaad1199659900dd0af521ed462b793bbdf867432b3948e87416ae4caf6bf8"},
] ]
[package.dependencies] [package.dependencies]
@ -2533,61 +2533,62 @@ files = [
[[package]] [[package]]
name = "orjson" name = "orjson"
version = "3.9.15" version = "3.10.0"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "orjson-3.9.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:d61f7ce4727a9fa7680cd6f3986b0e2c732639f46a5e0156e550e35258aa313a"}, {file = "orjson-3.10.0-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:47af5d4b850a2d1328660661f0881b67fdbe712aea905dadd413bdea6f792c33"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4feeb41882e8aa17634b589533baafdceb387e01e117b1ec65534ec724023d04"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c90681333619d78360d13840c7235fdaf01b2b129cb3a4f1647783b1971542b6"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fbbeb3c9b2edb5fd044b2a070f127a0ac456ffd079cb82746fc84af01ef021a4"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:400c5b7c4222cb27b5059adf1fb12302eebcabf1978f33d0824aa5277ca899bd"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b66bcc5670e8a6b78f0313bcb74774c8291f6f8aeef10fe70e910b8040f3ab75"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5dcb32e949eae80fb335e63b90e5808b4b0f64e31476b3777707416b41682db5"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2973474811db7b35c30248d1129c64fd2bdf40d57d84beed2a9a379a6f57d0ab"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:aa7d507c7493252c0a0264b5cc7e20fa2f8622b8a83b04d819b5ce32c97cf57b"},
{file = "orjson-3.9.15-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9fe41b6f72f52d3da4db524c8653e46243c8c92df826ab5ffaece2dba9cccd58"}, {file = "orjson-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e286a51def6626f1e0cc134ba2067dcf14f7f4b9550f6dd4535fd9d79000040b"},
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4228aace81781cc9d05a3ec3a6d2673a1ad0d8725b4e915f1089803e9efd2b99"}, {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8acd4b82a5f3a3ec8b1dc83452941d22b4711964c34727eb1e65449eead353ca"},
{file = "orjson-3.9.15-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:6f7b65bfaf69493c73423ce9db66cfe9138b2f9ef62897486417a8fcb0a92bfe"}, {file = "orjson-3.10.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:30707e646080dd3c791f22ce7e4a2fc2438765408547c10510f1f690bd336217"},
{file = "orjson-3.9.15-cp310-none-win32.whl", hash = "sha256:2d99e3c4c13a7b0fb3792cc04c2829c9db07838fb6973e578b85c1745e7d0ce7"}, {file = "orjson-3.10.0-cp310-none-win32.whl", hash = "sha256:115498c4ad34188dcb73464e8dc80e490a3e5e88a925907b6fedcf20e545001a"},
{file = "orjson-3.9.15-cp310-none-win_amd64.whl", hash = "sha256:b725da33e6e58e4a5d27958568484aa766e825e93aa20c26c91168be58e08cbb"}, {file = "orjson-3.10.0-cp310-none-win_amd64.whl", hash = "sha256:6735dd4a5a7b6df00a87d1d7a02b84b54d215fb7adac50dd24da5997ffb4798d"},
{file = "orjson-3.9.15-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:c8e8fe01e435005d4421f183038fc70ca85d2c1e490f51fb972db92af6e047c2"}, {file = "orjson-3.10.0-cp311-cp311-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9587053e0cefc284e4d1cd113c34468b7d3f17666d22b185ea654f0775316a26"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:87f1097acb569dde17f246faa268759a71a2cb8c96dd392cd25c668b104cad2f"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1bef1050b1bdc9ea6c0d08468e3e61c9386723633b397e50b82fda37b3563d72"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff0f9913d82e1d1fadbd976424c316fbc4d9c525c81d047bbdd16bd27dd98cfc"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d16c6963ddf3b28c0d461641517cd312ad6b3cf303d8b87d5ef3fa59d6844337"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8055ec598605b0077e29652ccfe9372247474375e0e3f5775c91d9434e12d6b1"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4251964db47ef090c462a2d909f16c7c7d5fe68e341dabce6702879ec26d1134"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d6768a327ea1ba44c9114dba5fdda4a214bdb70129065cd0807eb5f010bfcbb5"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73bbbdc43d520204d9ef0817ac03fa49c103c7f9ea94f410d2950755be2c349c"},
{file = "orjson-3.9.15-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:12365576039b1a5a47df01aadb353b68223da413e2e7f98c02403061aad34bde"}, {file = "orjson-3.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:414e5293b82373606acf0d66313aecb52d9c8c2404b1900683eb32c3d042dbd7"},
{file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:71c6b009d431b3839d7c14c3af86788b3cfac41e969e3e1c22f8a6ea13139404"}, {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:feaed5bb09877dc27ed0d37f037ddef6cb76d19aa34b108db270d27d3d2ef747"},
{file = "orjson-3.9.15-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e18668f1bd39e69b7fed19fa7cd1cd110a121ec25439328b5c89934e6d30d357"}, {file = "orjson-3.10.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:5127478260db640323cea131ee88541cb1a9fbce051f0b22fa2f0892f44da302"},
{file = "orjson-3.9.15-cp311-none-win32.whl", hash = "sha256:62482873e0289cf7313461009bf62ac8b2e54bc6f00c6fabcde785709231a5d7"}, {file = "orjson-3.10.0-cp311-none-win32.whl", hash = "sha256:b98345529bafe3c06c09996b303fc0a21961820d634409b8639bc16bd4f21b63"},
{file = "orjson-3.9.15-cp311-none-win_amd64.whl", hash = "sha256:b3d336ed75d17c7b1af233a6561cf421dee41d9204aa3cfcc6c9c65cd5bb69a8"}, {file = "orjson-3.10.0-cp311-none-win_amd64.whl", hash = "sha256:658ca5cee3379dd3d37dbacd43d42c1b4feee99a29d847ef27a1cb18abdfb23f"},
{file = "orjson-3.9.15-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:82425dd5c7bd3adfe4e94c78e27e2fa02971750c2b7ffba648b0f5d5cc016a73"}, {file = "orjson-3.10.0-cp312-cp312-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4329c1d24fd130ee377e32a72dc54a3c251e6706fccd9a2ecb91b3606fddd998"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2c51378d4a8255b2e7c1e5cc430644f0939539deddfa77f6fac7b56a9784160a"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ef0f19fdfb6553342b1882f438afd53c7cb7aea57894c4490c43e4431739c700"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:6ae4e06be04dc00618247c4ae3f7c3e561d5bc19ab6941427f6d3722a0875ef7"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4f60db24161534764277f798ef53b9d3063092f6d23f8f962b4a97edfa997a0"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bcef128f970bb63ecf9a65f7beafd9b55e3aaf0efc271a4154050fc15cdb386e"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1de3fd5c7b208d836f8ecb4526995f0d5877153a4f6f12f3e9bf11e49357de98"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b72758f3ffc36ca566ba98a8e7f4f373b6c17c646ff8ad9b21ad10c29186f00d"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f93e33f67729d460a177ba285002035d3f11425ed3cebac5f6ded4ef36b28344"},
{file = "orjson-3.9.15-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10c57bc7b946cf2efa67ac55766e41764b66d40cbd9489041e637c1304400494"}, {file = "orjson-3.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:237ba922aef472761acd697eef77fef4831ab769a42e83c04ac91e9f9e08fa0e"},
{file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:946c3a1ef25338e78107fba746f299f926db408d34553b4754e90a7de1d44068"}, {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:98c1bfc6a9bec52bc8f0ab9b86cc0874b0299fccef3562b793c1576cf3abb570"},
{file = "orjson-3.9.15-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:2f256d03957075fcb5923410058982aea85455d035607486ccb847f095442bda"}, {file = "orjson-3.10.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:30d795a24be16c03dca0c35ca8f9c8eaaa51e3342f2c162d327bd0225118794a"},
{file = "orjson-3.9.15-cp312-none-win_amd64.whl", hash = "sha256:5bb399e1b49db120653a31463b4a7b27cf2fbfe60469546baf681d1b39f4edf2"}, {file = "orjson-3.10.0-cp312-none-win32.whl", hash = "sha256:6a3f53dc650bc860eb26ec293dfb489b2f6ae1cbfc409a127b01229980e372f7"},
{file = "orjson-3.9.15-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:b17f0f14a9c0ba55ff6279a922d1932e24b13fc218a3e968ecdbf791b3682b25"}, {file = "orjson-3.10.0-cp312-none-win_amd64.whl", hash = "sha256:983db1f87c371dc6ffc52931eb75f9fe17dc621273e43ce67bee407d3e5476e9"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f6cbd8e6e446fb7e4ed5bac4661a29e43f38aeecbf60c4b900b825a353276a1"}, {file = "orjson-3.10.0-cp38-cp38-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:9a667769a96a72ca67237224a36faf57db0c82ab07d09c3aafc6f956196cfa1b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:76bc6356d07c1d9f4b782813094d0caf1703b729d876ab6a676f3aaa9a47e37c"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ade1e21dfde1d37feee8cf6464c20a2f41fa46c8bcd5251e761903e46102dc6b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fdfa97090e2d6f73dced247a2f2d8004ac6449df6568f30e7fa1a045767c69a6"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:23c12bb4ced1c3308eff7ba5c63ef8f0edb3e4c43c026440247dd6c1c61cea4b"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7413070a3e927e4207d00bd65f42d1b780fb0d32d7b1d951f6dc6ade318e1b5a"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b2d014cf8d4dc9f03fc9f870de191a49a03b1bcda51f2a957943fb9fafe55aac"},
{file = "orjson-3.9.15-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9cf1596680ac1f01839dba32d496136bdd5d8ffb858c280fa82bbfeb173bdd40"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eadecaa16d9783affca33597781328e4981b048615c2ddc31c47a51b833d6319"},
{file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:809d653c155e2cc4fd39ad69c08fdff7f4016c355ae4b88905219d3579e31eb7"}, {file = "orjson-3.10.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd583341218826f48bd7c6ebf3310b4126216920853cbc471e8dbeaf07b0b80e"},
{file = "orjson-3.9.15-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:920fa5a0c5175ab14b9c78f6f820b75804fb4984423ee4c4f1e6d748f8b22bc1"}, {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:90bfc137c75c31d32308fd61951d424424426ddc39a40e367704661a9ee97095"},
{file = "orjson-3.9.15-cp38-none-win32.whl", hash = "sha256:2b5c0f532905e60cf22a511120e3719b85d9c25d0e1c2a8abb20c4dede3b05a5"}, {file = "orjson-3.10.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:13b5d3c795b09a466ec9fcf0bd3ad7b85467d91a60113885df7b8d639a9d374b"},
{file = "orjson-3.9.15-cp38-none-win_amd64.whl", hash = "sha256:67384f588f7f8daf040114337d34a5188346e3fae6c38b6a19a2fe8c663a2f9b"}, {file = "orjson-3.10.0-cp38-none-win32.whl", hash = "sha256:5d42768db6f2ce0162544845facb7c081e9364a5eb6d2ef06cd17f6050b048d8"},
{file = "orjson-3.9.15-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:6fc2fe4647927070df3d93f561d7e588a38865ea0040027662e3e541d592811e"}, {file = "orjson-3.10.0-cp38-none-win_amd64.whl", hash = "sha256:33e6655a2542195d6fd9f850b428926559dee382f7a862dae92ca97fea03a5ad"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:34cbcd216e7af5270f2ffa63a963346845eb71e174ea530867b7443892d77180"}, {file = "orjson-3.10.0-cp39-cp39-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:4050920e831a49d8782a1720d3ca2f1c49b150953667eed6e5d63a62e80f46a2"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:f541587f5c558abd93cb0de491ce99a9ef8d1ae29dd6ab4dbb5a13281ae04cbd"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1897aa25a944cec774ce4a0e1c8e98fb50523e97366c637b7d0cddabc42e6643"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92255879280ef9c3c0bcb327c5a1b8ed694c290d61a6a532458264f887f052cb"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9bf565a69e0082ea348c5657401acec3cbbb31564d89afebaee884614fba36b4"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:05a1f57fb601c426635fcae9ddbe90dfc1ed42245eb4c75e4960440cac667262"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b6ebc17cfbbf741f5c1a888d1854354536f63d84bee537c9a7c0335791bb9009"},
{file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2817877d0b69f78f146ab305c5975d0618df41acf8811249ee64231f5953fee"},
{file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b"}, {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57d017863ec8aa4589be30a328dacd13c2dc49de1c170bc8d8c8a98ece0f2925"},
{file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10"}, {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:22c2f7e377ac757bd3476ecb7480c8ed79d98ef89648f0176deb1da5cd014eb7"},
{file = "orjson-3.9.15-cp39-none-win32.whl", hash = "sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a"}, {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
{file = "orjson-3.9.15-cp39-none-win_amd64.whl", hash = "sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7"}, {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
{file = "orjson-3.9.15.tar.gz", hash = "sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061"}, {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
{file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
] ]
[[package]] [[package]]
@ -3902,13 +3903,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
[[package]] [[package]]
name = "typer" name = "typer"
version = "0.12.1" version = "0.12.2"
description = "Typer, build great CLIs. Easy to code. Based on Python type hints." description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "typer-0.12.1-py3-none-any.whl", hash = "sha256:43ebb23c8a358c3d623e31064359a65f50229d0bf73ae8dfd203f49d9126ae06"}, {file = "typer-0.12.2-py3-none-any.whl", hash = "sha256:e1accbaa7e2b2350753acec896ac30493ac573211a8d4603e88f8356217e01f7"},
{file = "typer-0.12.1.tar.gz", hash = "sha256:72d218ef3c686aed9c6ff3ca25b238aee0474a1628b29c559b18b634cfdeca88"}, {file = "typer-0.12.2.tar.gz", hash = "sha256:977929604fde12aeada011852ad9c64370501be6ac2eac248f3161cdc9eeb7c9"},
] ]
[package.dependencies] [package.dependencies]
@ -4024,13 +4025,13 @@ files = [
[[package]] [[package]]
name = "types-redis" name = "types-redis"
version = "4.6.0.20240311" version = "4.6.0.20240409"
description = "Typing stubs for redis" description = "Typing stubs for redis"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "types-redis-4.6.0.20240311.tar.gz", hash = "sha256:e049bbdff0e0a1f8e701b64636811291d21bff79bf1e7850850a44055224a85f"}, {file = "types-redis-4.6.0.20240409.tar.gz", hash = "sha256:ce217c279581d769df992c5b76d61c65425b0a679626048e633e643868eb881b"},
{file = "types_redis-4.6.0.20240311-py3-none-any.whl", hash = "sha256:6b9d68a29aba1ee400c823d8e5fe88675282eb69d7211e72fe65dbe54b33daca"}, {file = "types_redis-4.6.0.20240409-py3-none-any.whl", hash = "sha256:a3b92760c49a034827a0c3825206728df4e61e981c1324099d4414335af4f52f"},
] ]
[package.dependencies] [package.dependencies]
@ -4443,4 +4444,4 @@ local = []
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10,<3.12" python-versions = ">=3.10,<3.12"
content-hash = "a3de9e754754b1899c6f1755e6e29e170a8286c43e241e8b55be5b060aa464e5" content-hash = "ab99a3fe4d80dff80dfa69347dcb22b85d48d33487a14e01c709b51f7b62699e"

6
src/backend/base/pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "langflow-base" name = "langflow-base"
version = "0.0.21" version = "0.0.24"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
maintainers = [ maintainers = [
@ -13,7 +13,7 @@ maintainers = [
"Otávio Anovazzi <otavio2204@gmail.com>", "Otávio Anovazzi <otavio2204@gmail.com>",
"Rodrigo Nader <rodrigo@logspace.ai>", "Rodrigo Nader <rodrigo@logspace.ai>",
] ]
repository = "https://github.com/logspace-ai/langflow" repository = "https://github.com/langflow-ai/langflow"
license = "MIT" license = "MIT"
readme = "README.md" readme = "README.md"
keywords = ["nlp", "langchain", "openai", "gpt", "gui"] keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
@ -43,7 +43,7 @@ typer = "^0.12.0"
cachetools = "^5.3.1" cachetools = "^5.3.1"
platformdirs = "^4.2.0" platformdirs = "^4.2.0"
python-multipart = "^0.0.7" python-multipart = "^0.0.7"
orjson = "3.9.15" orjson = "3.10.0"
alembic = "^1.13.0" alembic = "^1.13.0"
passlib = "^1.7.4" passlib = "^1.7.4"
bcrypt = "4.0.1" bcrypt = "4.0.1"

4
src/frontend/src/components/CrashErrorComponent/index.tsx
View file

@ -28,7 +28,7 @@ export default function CrashErrorComponent({
<p> <p>
Please report errors with detailed tracebacks on the{" "} Please report errors with detailed tracebacks on the{" "}
<a <a
href="https://github.com/logspace-ai/langflow/issues" href="https://github.com/langflow-ai/langflow/issues"
target="_blank" target="_blank"
rel="noopener noreferrer" rel="noopener noreferrer"
className="font-medium hover:underline " className="font-medium hover:underline "
@ -47,7 +47,7 @@ export default function CrashErrorComponent({
<Button onClick={resetErrorBoundary}>Restart Langflow</Button> <Button onClick={resetErrorBoundary}>Restart Langflow</Button>
<a <a
href="https://github.com/logspace-ai/langflow/issues/new" href="https://github.com/langflow-ai/langflow/issues/new"
target="_blank" target="_blank"
rel="noopener noreferrer" rel="noopener noreferrer"
> >

2
src/frontend/src/components/headerComponent/index.tsx
View file

@ -114,7 +114,7 @@ export default function Header(): JSX.Element {
<div className="header-end-division lg:w-[30%]"> <div className="header-end-division lg:w-[30%]">
<div className="header-end-display"> <div className="header-end-display">
<a <a
href="https://github.com/logspace-ai/langflow" href="https://github.com/langflow-ai/langflow"
target="_blank" target="_blank"
rel="noreferrer" rel="noreferrer"
className="header-github-link gap-2" className="header-github-link gap-2"

6
src/frontend/src/controllers/API/api.tsx
View file

@ -46,9 +46,9 @@ function ApiInterceptor() {
const isAuthorizedURL = (url) => { const isAuthorizedURL = (url) => {
const authorizedDomains = [ const authorizedDomains = [
"https://raw.githubusercontent.com/logspace-ai/langflow_examples/main/examples", "https://raw.githubusercontent.com/langflow-ai/langflow_examples/main/examples",
"https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples", "https://api.github.com/repos/langflow-ai/langflow_examples/contents/examples",
"https://api.github.com/repos/logspace-ai/langflow", "https://api.github.com/repos/langflow-ai/langflow",
"auto_login", "auto_login",
]; ];

2
src/frontend/src/controllers/API/index.ts
View file

@ -90,7 +90,7 @@ export async function postValidatePrompt(
*/ */
export async function getExamples(): Promise<FlowType[]> { export async function getExamples(): Promise<FlowType[]> {
const url = const url =
"https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples?ref=main"; "https://api.github.com/repos/langflow-ai/langflow_examples/contents/examples?ref=main";
const response = await api.get(url); const response = await api.get(url);
const jsonFiles = response.data.filter((file: any) => { const jsonFiles = response.data.filter((file: any) => {

1
src/frontend/src/stores/typesStore.ts
View file

@ -29,6 +29,7 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
.catch((error) => { .catch((error) => {
console.error("An error has occurred while fetching types."); console.error("An error has occurred while fetching types.");
console.log(error); console.log(error);
setLoading(false);
reject(); reject();
}); });
}); });

2
src/frontend/src/utils/utils.ts
View file

@ -456,7 +456,7 @@ export function getWidgetCode(
const inputs = buildInputs(); const inputs = buildInputs();
let chat_input_field = getChatInputField(flowState); let chat_input_field = getChatInputField(flowState);
return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@1.0_alpha/dist/build/static/js/bundle.min.js"></script> return `<script src="https://cdn.jsdelivr.net/gh/langflow-ai/langflow-embedded-chat@1.0_alpha/dist/build/static/js/bundle.min.js"></script>
<langflow-chat <langflow-chat
window_title="${flowName}" window_title="${flowName}"

4
src/frontend/tests/custom_component_full.ts
View file

@ -1,6 +1,6 @@
export const custom = `from langflow.custom import CustomComponent export const custom = `from langflow.custom import CustomComponent
from langchain.llms.base import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain.chains import LLMChain from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate from langchain.prompts import PromptTemplate
from langchain_core.documents import Document from langchain_core.documents import Document
@ -15,6 +15,6 @@ class YourComponent(CustomComponent):
def build_config(self): def build_config(self):
return { "file": { "file_type": ["json"], } } return { "file": { "file_type": ["json"], } }
def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLLM, prompt: PromptTemplate) -> Document: def build(self, url: str,file:str,integer:int,nested:NestedDict,flt:float,boolean:bool,lisst:list[str],dictionary:dict, llm: BaseLanguageModel, prompt: PromptTemplate) -> Document:
return "test"`; return "test"`;

4
src/frontend/tests/end-to-end/dropdownComponent.spec.ts
View file

@ -177,7 +177,7 @@ test("dropDownComponent", async ({ page }) => {
.click(); .click();
await page.locator("textarea").press("Control+a"); await page.locator("textarea").press("Control+a");
const emptyOptionsCode = `from typing import Optional const emptyOptionsCode = `from typing import Optional
from langchain.llms.base import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain_community.llms.bedrock import Bedrock from langchain_community.llms.bedrock import Bedrock
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
@ -212,7 +212,7 @@ class AmazonBedrockComponent(CustomComponent):
endpoint_url: Optional[str] = None, endpoint_url: Optional[str] = None,
streaming: bool = False, streaming: bool = False,
cache: Optional[bool] = None, cache: Optional[bool] = None,
) -> BaseLLM: ) -> BaseLanguageModel:
try: try:
output = Bedrock( output = Bedrock(
credentials_profile_name=credentials_profile_name, credentials_profile_name=credentials_profile_name,

3
tests/conftest.py
View file

@ -22,9 +22,6 @@ from langflow.services.database.models.flow.model import Flow, FlowCreate
from langflow.services.database.models.user.model import User, UserCreate from langflow.services.database.models.user.model import User, UserCreate
from langflow.services.database.utils import session_getter from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service from langflow.services.deps import get_db_service
from sqlmodel import Session, SQLModel, create_engine, select
from sqlmodel.pool import StaticPool
from typer.testing import CliRunner
if TYPE_CHECKING: if TYPE_CHECKING:
from langflow.services.database.service import DatabaseService from langflow.services.database.service import DatabaseService

14
tests/test_custom_component.py
View file

@ -6,21 +6,15 @@ import pytest
from langchain_core.documents import Document from langchain_core.documents import Document
from langflow.interface.custom.base import CustomComponent from langflow.interface.custom.base import CustomComponent
from langflow.interface.custom.code_parser.code_parser import ( from langflow.interface.custom.code_parser.code_parser import CodeParser, CodeSyntaxError
CodeParser, from langflow.interface.custom.custom_component.component import Component, ComponentCodeNullError
CodeSyntaxError,
)
from langflow.interface.custom.custom_component.component import (
Component,
ComponentCodeNullError,
)
from langflow.services.database.models.flow import Flow, FlowCreate from langflow.services.database.models.flow import Flow, FlowCreate
code_default = """ code_default = """
from langflow.field_typing import Prompt from langflow.field_typing import Prompt
from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.custom_component import CustomComponent
from langchain.llms.base import BaseLLM from langflow.field_typing import BaseLanguageModel
from langchain.chains import LLMChain from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate from langchain.prompts import PromptTemplate
from langchain_core.documents import Document from langchain_core.documents import Document
@ -32,7 +26,7 @@ class YourComponent(CustomComponent):
description: str = "Your description" description: str = "Your description"
field_config = { "url": { "multiline": True, "required": True } } field_config = { "url": { "multiline": True, "required": True } }
def build(self, url: str, llm: BaseLLM, template: Prompt) -> Document: def build(self, url: str, llm: BaseLanguageModel, template: Prompt) -> Document:
response = requests.get(url) response = requests.get(url)
prompt = PromptTemplate.from_template(template) prompt = PromptTemplate.from_template(template)
chain = LLMChain(llm=llm, prompt=prompt) chain = LLMChain(llm=llm, prompt=prompt)

5
tests/test_data_components.py
View file

@ -6,10 +6,9 @@ import httpx
import pytest import pytest
import respx import respx
from httpx import Response from httpx import Response
from langflow.components import ( from langflow.components import (
data, data,
) # Adjust the import according to your project structure )
@pytest.fixture @pytest.fixture
@ -135,7 +134,7 @@ def test_directory_without_mocks():
from langflow.initial_setup import setup from langflow.initial_setup import setup
from langflow.initial_setup.setup import load_starter_projects from langflow.initial_setup.setup import load_starter_projects
projects = load_starter_projects() _, projects = zip(*load_starter_projects())
# the setup module has a folder where the projects are stored # the setup module has a folder where the projects are stored
# the contents of that folder are in the projects variable # the contents of that folder are in the projects variable
# the directory component can be used to load the projects # the directory component can be used to load the projects

24
tests/test_endpoints.py
View file

@ -472,11 +472,11 @@ def test_successful_run_with_output_type_text(client, starter_project, created_a
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 1 assert len(outputs_dict.get("outputs")) == 1
ids = [output.get("component_id") for output in outputs_dict.get("outputs")] ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
assert all(["TextOutput" in _id for _id in ids]), ids assert all(["ChatOutput" in _id for _id in ids]), ids
display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")] display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
assert all([name in display_names for name in ["Prompt Output"]]), display_names assert all([name in display_names for name in ["Chat Output"]]), display_names
inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")] inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")]
expected_result = "Langflow" expected_result = ""
assert all([expected_result in result for result in inner_results]), inner_results assert all([expected_result in result for result in inner_results]), inner_results
@ -501,13 +501,13 @@ def test_successful_run_with_output_type_any(client, starter_project, created_ap
assert "outputs" in outputs_dict assert "outputs" in outputs_dict
assert outputs_dict.get("inputs") == {"input_value": ""} assert outputs_dict.get("inputs") == {"input_value": ""}
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 2 assert len(outputs_dict.get("outputs")) == 1
ids = [output.get("component_id") for output in outputs_dict.get("outputs")] ids = [output.get("component_id") for output in outputs_dict.get("outputs")]
assert all(["ChatOutput" in _id or "TextOutput" in _id for _id in ids]), ids assert all(["ChatOutput" in _id or "TextOutput" in _id for _id in ids]), ids
display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")] display_names = [output.get("component_display_name") for output in outputs_dict.get("outputs")]
assert all([name in display_names for name in ["Chat Output", "Prompt Output"]]), display_names assert all([name in display_names for name in ["Chat Output"]]), display_names
inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")] inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")]
expected_result = "Langflow" expected_result = ""
assert all([expected_result in result for result in inner_results]), inner_results assert all([expected_result in result for result in inner_results]), inner_results
@ -533,7 +533,7 @@ def test_successful_run_with_output_type_debug(client, starter_project, created_
assert "outputs" in outputs_dict assert "outputs" in outputs_dict
assert outputs_dict.get("inputs") == {"input_value": ""} assert outputs_dict.get("inputs") == {"input_value": ""}
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 7 assert len(outputs_dict.get("outputs")) == 4
# To test input_type wel'l just set it with output_type debug and check if the value is correct # To test input_type wel'l just set it with output_type debug and check if the value is correct
@ -559,10 +559,10 @@ def test_successful_run_with_input_type_text(client, starter_project, created_ap
assert "outputs" in outputs_dict assert "outputs" in outputs_dict
assert outputs_dict.get("inputs") == {"input_value": "value1"} assert outputs_dict.get("inputs") == {"input_value": "value1"}
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 7 assert len(outputs_dict.get("outputs")) == 4
# Now we get all components that contain TextInput in the component_id # Now we get all components that contain TextInput in the component_id
text_input_outputs = [output for output in outputs_dict.get("outputs") if "TextInput" in output.get("component_id")] text_input_outputs = [output for output in outputs_dict.get("outputs") if "TextInput" in output.get("component_id")]
assert len(text_input_outputs) == 2 assert len(text_input_outputs) == 0
# Now we check if the input_value is correct # Now we check if the input_value is correct
assert all([output.get("results").get("result") == "value1" for output in text_input_outputs]), text_input_outputs assert all([output.get("results").get("result") == "value1" for output in text_input_outputs]), text_input_outputs
@ -590,7 +590,7 @@ def test_successful_run_with_input_type_chat(client, starter_project, created_ap
assert "outputs" in outputs_dict assert "outputs" in outputs_dict
assert outputs_dict.get("inputs") == {"input_value": "value1"} assert outputs_dict.get("inputs") == {"input_value": "value1"}
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 7 assert len(outputs_dict.get("outputs")) == 4
# Now we get all components that contain TextInput in the component_id # Now we get all components that contain TextInput in the component_id
chat_input_outputs = [output for output in outputs_dict.get("outputs") if "ChatInput" in output.get("component_id")] chat_input_outputs = [output for output in outputs_dict.get("outputs") if "ChatInput" in output.get("component_id")]
assert len(chat_input_outputs) == 1 assert len(chat_input_outputs) == 1
@ -620,14 +620,14 @@ def test_successful_run_with_input_type_any(client, starter_project, created_api
assert "outputs" in outputs_dict assert "outputs" in outputs_dict
assert outputs_dict.get("inputs") == {"input_value": "value1"} assert outputs_dict.get("inputs") == {"input_value": "value1"}
assert isinstance(outputs_dict.get("outputs"), list) assert isinstance(outputs_dict.get("outputs"), list)
assert len(outputs_dict.get("outputs")) == 7 assert len(outputs_dict.get("outputs")) == 4
# Now we get all components that contain TextInput or ChatInput in the component_id # Now we get all components that contain TextInput or ChatInput in the component_id
any_input_outputs = [ any_input_outputs = [
output output
for output in outputs_dict.get("outputs") for output in outputs_dict.get("outputs")
if "TextInput" in output.get("component_id") or "ChatInput" in output.get("component_id") if "TextInput" in output.get("component_id") or "ChatInput" in output.get("component_id")
] ]
assert len(any_input_outputs) == 3 assert len(any_input_outputs) == 1
# Now we check if the input_value is correct # Now we check if the input_value is correct
assert all([output.get("results").get("result") == "value1" for output in any_input_outputs]), any_input_outputs assert all([output.get("results").get("result") == "value1" for output in any_input_outputs]), any_input_outputs

16
tests/test_graph.py
View file

@ -409,7 +409,7 @@ def test_update_source_handle():
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_pickle_graph(json_vector_store): async def test_pickle_graph(json_vector_store):
starter_projects = load_starter_projects() starter_projects = load_starter_projects()
data = starter_projects[0]["data"] data = starter_projects[0][1]["data"]
graph = Graph.from_payload(data) graph = Graph.from_payload(data)
assert isinstance(graph, Graph) assert isinstance(graph, Graph)
pickled = pickle.dumps(graph) pickled = pickle.dumps(graph)
@ -421,7 +421,7 @@ async def test_pickle_graph(json_vector_store):
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_pickle_each_vertex(json_vector_store): async def test_pickle_each_vertex(json_vector_store):
starter_projects = load_starter_projects() starter_projects = load_starter_projects()
data = starter_projects[0]["data"] data = starter_projects[0][1]["data"]
graph = Graph.from_payload(data) graph = Graph.from_payload(data)
assert isinstance(graph, Graph) assert isinstance(graph, Graph)
for vertex in graph.vertices: for vertex in graph.vertices:
@ -430,15 +430,3 @@ async def test_pickle_each_vertex(json_vector_store):
assert pickled is not None assert pickled is not None
unpickled = pickle.loads(pickled) unpickled = pickle.loads(pickled)
assert unpickled is not None assert unpickled is not None
@pytest.mark.asyncio
async def test_build_ordering(complex_graph_with_groups):
sorted_vertices = complex_graph_with_groups.sort_vertices(stop_component_id="ChatInput-Ay8QQ")
assert sorted_vertices == [
"ChatInput-Ay8QQ",
"RecordsAsText-vkx2A",
"FileLoader-Vo1Cq",
]
sorted_vertices = complex_graph_with_groups.sort_vertices()

20
tests/test_initial_setup.py
View file

@ -1,4 +1,5 @@
from datetime import datetime from datetime import datetime
from pathlib import Path
import pytest import pytest
from langflow.graph.graph.base import Graph from langflow.graph.graph.base import Graph
@ -10,6 +11,7 @@ from langflow.initial_setup.setup import (
load_starter_projects, load_starter_projects,
) )
from langflow.memory import delete_messages from langflow.memory import delete_messages
from langflow.processing.process import process_tweaks
from langflow.services.database.models.flow.model import Flow from langflow.services.database.models.flow.model import Flow
from langflow.services.deps import session_scope from langflow.services.deps import session_scope
from sqlalchemy import func from sqlalchemy import func
@ -19,7 +21,8 @@ from sqlmodel import select
def test_load_starter_projects(): def test_load_starter_projects():
projects = load_starter_projects() projects = load_starter_projects()
assert isinstance(projects, list) assert isinstance(projects, list)
assert all(isinstance(project, dict) for project in projects) assert all(isinstance(project[1], dict) for project in projects)
assert all(isinstance(project[0], Path) for project in projects)
def test_get_project_data(): def test_get_project_data():
@ -59,7 +62,7 @@ def test_create_or_update_starter_projects(client):
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_starter_project_can_run_successfully(client): async def test_starter_projects_can_run_successfully(client):
with session_scope() as session: with session_scope() as session:
# Run the function to create or update projects # Run the function to create or update projects
create_or_update_starter_projects() create_or_update_starter_projects()
@ -75,12 +78,13 @@ async def test_starter_project_can_run_successfully(client):
# Get all the starter projects # Get all the starter projects
projects = session.exec(select(Flow).where(Flow.folder == STARTER_FOLDER_NAME)).all() projects = session.exec(select(Flow).where(Flow.folder == STARTER_FOLDER_NAME)).all()
graphs: list[tuple[str, Graph]] = []
graphs: list[tuple[str, Graph]] = [ for project in projects:
(project.name, Graph.from_payload(project.data, flow_id=project.id)) # Add tweaks to make file_path work
for project in projects tweaks = {"path": __file__}
if "Document" not in project.name or "RAG" not in project.name graph_data = process_tweaks(project.data, tweaks)
] graph_object = Graph.from_payload(graph_data, flow_id=project.id)
graphs.append((project.name, graph_object))
assert len(graphs) == len(projects) assert len(graphs) == len(projects)
for name, graph in graphs: for name, graph in graphs:
outputs = await graph.arun( outputs = await graph.arun(

7
tests/test_process.py
View file

@ -1,5 +1,4 @@
import pytest import pytest
from langflow.processing.process import process_tweaks from langflow.processing.process import process_tweaks
from langflow.services.deps import get_session_service from langflow.services.deps import get_session_service
@ -284,12 +283,12 @@ async def test_load_langchain_object_with_no_cached_session(client, basic_graph_
session_id = session_service.build_key(session_id1, basic_graph_data) session_id = session_service.build_key(session_id1, basic_graph_data)
graph1, artifacts1 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id") graph1, artifacts1 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id")
# Clear the cache # Clear the cache
session_service.clear_session(session_id) await session_service.clear_session(session_id)
# Use the new session_id to get the langchain_object again # Use the new session_id to get the graph again
graph2, artifacts2 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id") graph2, artifacts2 = await session_service.load_session(session_id, data_graph=basic_graph_data, flow_id="flow_id")
assert id(graph1) != id(graph2)
# Since the cache was cleared, objects should be different # Since the cache was cleared, objects should be different
assert id(graph1) != id(graph2)
@pytest.mark.asyncio @pytest.mark.asyncio