chore: remove lc-serve (#963)

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Gabriel Luiz Freitas Almeida 2023-09-26 11:24:58 -03:00 committed by GitHub
commit 734ab6b983
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11 changed files with 19 additions and 600 deletions

View file

@ -45,11 +45,3 @@ jobs:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
run: |
poetry publish
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "main"}'

View file

@ -1,17 +0,0 @@
name: Trigger build and push on langchain-serve
on:
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}'

View file

@ -87,17 +87,6 @@ build:
poetry build --format sdist
rm -rf src/backend/langflow/frontend
lcserve_push:
make build_frontend
@version=$$(poetry version --short); \
lc-serve push --app langflow.lcserve:app --app-dir . \
--image-name langflow --image-tag $${version} --verbose --public
lcserve_deploy:
@:$(if $(uses),,$(error `uses` is not set. Please run `make uses=... lcserve_deploy`))
lc-serve deploy jcloud --app langflow.lcserve:app --app-dir . \
--uses $(uses) --config src/backend/langflow/jcloud.yml --verbose
dev:
make install_frontend
ifeq ($(build),1)

111
README.md
View file

@ -36,8 +36,6 @@
- [Environment Variables](#environment-variables)
- [Deployment](#deployment)
- [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
- [Deploy Langflow on Jina AI Cloud](#deploy-langflow-on-jina-ai-cloud)
- [API Usage](#api-usage)
- [Deploy on Railway](#deploy-on-railway)
- [Deploy on Render](#deploy-on-render)
- [🎨 Creating Flows](#-creating-flows)
@ -110,7 +108,6 @@ Each option is detailed below:
- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
- `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
- `--jcloud/--no-jcloud`: Toggles the option to deploy on Jina AI Cloud. The default is `no-jcloud`.
- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
@ -134,114 +131,6 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
[![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_spot.md)
## Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)
Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
Start by installing `langchain-serve` with
```bash
pip install langflow[deploy]
# or
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
<details>
<summary>Show complete (example) output</summary>
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
</details>
#### API Usage
You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
<details>
<summary>Show API usage (with python)</summary>
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
</details>
> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
## Deploy on Railway

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@ -1,101 +0,0 @@
# Deploy on Jina AI Cloud
Langflow integrates with langchain-serve to provide a one-command deployment to [Jina AI Cloud](https://github.com/jina-ai/langchain-serve).
Start by installing `langchain-serve` with
```bash
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
**Complete (example) output:**
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
## API Usage (with python)
You can use Langflow directly on your browser or the API endpoints on Jina AI Cloud to interact with the server.
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
:::info
Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
:::

View file

@ -89,7 +89,7 @@ module.exports = {
type: "category",
label: "Deployment",
collapsed: false,
items: ["deployment/gcp-deployment", "deployment/jina-deployment"],
items: ["deployment/gcp-deployment"],
},
{
type: "category",

276
poetry.lock generated
View file

@ -3489,31 +3489,6 @@ files = [
[package.dependencies]
langchain = ">=0.0.239"
[[package]]
name = "langchain-serve"
version = "0.0.61"
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
optional = true
python-versions = "*"
files = [
{file = "langchain-serve-0.0.61.tar.gz", hash = "sha256:f13d8b84f46b3789e7813deba798c04fa1d0a155bf5e1bf8b9addb7d6c01614c"},
]
[package.dependencies]
click = "*"
jcloud = ">=0.2.16"
jina = "3.15.2"
jina-hubble-sdk = "*"
langchain = "*"
nest-asyncio = "*"
requests = "*"
slack_bolt = "*"
textual = "*"
toml = "*"
[package.extras]
test = ["psutil", "pytest", "pytest-asyncio"]
[[package]]
name = "langfuse"
version = "1.0.25"
@ -3549,26 +3524,6 @@ files = [
pydantic = ">=1,<3"
requests = ">=2,<3"
[[package]]
name = "linkify-it-py"
version = "2.0.2"
description = "Links recognition library with FULL unicode support."
optional = true
python-versions = ">=3.7"
files = [
{file = "linkify-it-py-2.0.2.tar.gz", hash = "sha256:19f3060727842c254c808e99d465c80c49d2c7306788140987a1a7a29b0d6ad2"},
{file = "linkify_it_py-2.0.2-py3-none-any.whl", hash = "sha256:a3a24428f6c96f27370d7fe61d2ac0be09017be5190d68d8658233171f1b6541"},
]
[package.dependencies]
uc-micro-py = "*"
[package.extras]
benchmark = ["pytest", "pytest-benchmark"]
dev = ["black", "flake8", "isort", "pre-commit", "pyproject-flake8"]
doc = ["myst-parser", "sphinx", "sphinx-book-theme"]
test = ["coverage", "pytest", "pytest-cov"]
[[package]]
name = "llama-cpp-python"
version = "0.1.85"
@ -3808,8 +3763,6 @@ files = [
]
[package.dependencies]
linkify-it-py = {version = ">=1,<3", optional = true, markers = "extra == \"linkify\""}
mdit-py-plugins = {version = "*", optional = true, markers = "extra == \"plugins\""}
mdurl = ">=0.1,<1.0"
[package.extras]
@ -3915,25 +3868,6 @@ files = [
[package.dependencies]
traitlets = "*"
[[package]]
name = "mdit-py-plugins"
version = "0.4.0"
description = "Collection of plugins for markdown-it-py"
optional = true
python-versions = ">=3.8"
files = [
{file = "mdit_py_plugins-0.4.0-py3-none-any.whl", hash = "sha256:b51b3bb70691f57f974e257e367107857a93b36f322a9e6d44ca5bf28ec2def9"},
{file = "mdit_py_plugins-0.4.0.tar.gz", hash = "sha256:d8ab27e9aed6c38aa716819fedfde15ca275715955f8a185a8e1cf90fb1d2c1b"},
]
[package.dependencies]
markdown-it-py = ">=1.0.0,<4.0.0"
[package.extras]
code-style = ["pre-commit"]
rtd = ["myst-parser", "sphinx-book-theme"]
testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
[[package]]
name = "mdurl"
version = "0.1.2"
@ -6817,42 +6751,6 @@ files = [
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]
[[package]]
name = "slack-bolt"
version = "1.18.0"
description = "The Bolt Framework for Python"
optional = true
python-versions = ">=3.6"
files = [
{file = "slack_bolt-1.18.0-py2.py3-none-any.whl", hash = "sha256:63089a401ae3900c37698890249acd008a4651d06e86194edc7b72a00819bbac"},
{file = "slack_bolt-1.18.0.tar.gz", hash = "sha256:43b121acf78440303ce5129e53be36bdfe5d926a193daef7daf2860688e65dd3"},
]
[package.dependencies]
slack-sdk = ">=3.21.2,<4"
[package.extras]
adapter = ["CherryPy (>=18,<19)", "Django (>=3,<5)", "Flask (>=1,<3)", "Werkzeug (>=2,<3)", "boto3 (<=2)", "bottle (>=0.12,<1)", "chalice (>=1.28,<2)", "falcon (>=2,<4)", "fastapi (>=0.70.0,<1)", "gunicorn (>=20,<21)", "pyramid (>=1,<3)", "sanic (>=22,<23)", "starlette (>=0.14,<1)", "tornado (>=6,<7)", "uvicorn (<1)", "websocket-client (>=1.2.3,<2)"]
adapter-testing = ["Flask (>=1,<2)", "Werkzeug (>=1,<2)", "boddle (>=0.2,<0.3)", "docker (>=5,<6)", "moto (>=3,<4)", "requests (>=2,<3)", "sanic-testing (>=0.7)"]
async = ["aiohttp (>=3,<4)", "websockets (>=10,<11)"]
testing = ["Flask-Sockets (>=0.2,<1)", "Jinja2 (==3.0.3)", "Werkzeug (>=1,<2)", "aiohttp (>=3,<4)", "black (==22.8.0)", "click (<=8.0.4)", "itsdangerous (==2.0.1)", "pytest (>=6.2.5,<7)", "pytest-asyncio (>=0.18.2,<1)", "pytest-cov (>=3,<4)"]
testing-without-asyncio = ["Flask-Sockets (>=0.2,<1)", "Jinja2 (==3.0.3)", "Werkzeug (>=1,<2)", "black (==22.8.0)", "click (<=8.0.4)", "itsdangerous (==2.0.1)", "pytest (>=6.2.5,<7)", "pytest-cov (>=3,<4)"]
[[package]]
name = "slack-sdk"
version = "3.22.0"
description = "The Slack API Platform SDK for Python"
optional = true
python-versions = ">=3.6.0"
files = [
{file = "slack_sdk-3.22.0-py2.py3-none-any.whl", hash = "sha256:f102a4902115dff3b97c3e8883ad4e22d54732221886fc5ef29bfc290f063b4a"},
{file = "slack_sdk-3.22.0.tar.gz", hash = "sha256:6eacce0fa4f8cfb4d84eac0d7d7e1b1926040a2df654ae86b94179bdf2bc4d8c"},
]
[package.extras]
optional = ["SQLAlchemy (>=1.4,<3)", "aiodns (>1.0)", "aiohttp (>=3.7.3,<4)", "boto3 (<=2)", "websocket-client (>=1,<2)", "websockets (>=10,<11)"]
testing = ["Flask (>=1,<2)", "Flask-Sockets (>=0.2,<1)", "Jinja2 (==3.0.3)", "Werkzeug (<2)", "black (==22.8.0)", "boto3 (<=2)", "click (==8.0.4)", "flake8 (>=5,<6)", "itsdangerous (==1.1.0)", "moto (>=3,<4)", "psutil (>=5,<6)", "pytest (>=6.2.5,<7)", "pytest-asyncio (<1)", "pytest-cov (>=2,<3)"]
[[package]]
name = "smmap"
version = "5.0.1"
@ -7149,25 +7047,6 @@ files = [
[package.extras]
tests = ["pytest", "pytest-cov"]
[[package]]
name = "textual"
version = "0.38.1"
description = "Modern Text User Interface framework"
optional = true
python-versions = ">=3.7,<4.0"
files = [
{file = "textual-0.38.1-py3-none-any.whl", hash = "sha256:8d38cbad6ac0b1320e52c7516e96b817e448d7c58d991269d3cf300108bbd191"},
{file = "textual-0.38.1.tar.gz", hash = "sha256:504c934c3281217a29e7a95d498aacb7fbc629f6430895f7ac51ea7ba66e5d99"},
]
[package.dependencies]
importlib-metadata = ">=4.11.3"
markdown-it-py = {version = ">=2.1.0", extras = ["linkify", "plugins"]}
rich = ">=13.3.3"
tree-sitter = ">=0.20.1,<0.21.0"
tree_sitter_languages = {version = ">=1.7.0", markers = "python_version >= \"3.8\" and python_version < \"4.0\""}
typing-extensions = ">=4.4.0,<5.0.0"
[[package]]
name = "threadpoolctl"
version = "3.2.0"
@ -7339,17 +7218,6 @@ dev = ["tokenizers[testing]"]
docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
[[package]]
name = "toml"
version = "0.10.2"
description = "Python Library for Tom's Obvious, Minimal Language"
optional = true
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
]
[[package]]
name = "tomli"
version = "2.0.1"
@ -7566,132 +7434,6 @@ torch-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)", "torchaudio"]
torchhub = ["filelock", "huggingface-hub (>=0.1.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3)", "torch (>=1.0)", "tqdm (>=4.27)"]
vision = ["Pillow"]
[[package]]
name = "tree-sitter"
version = "0.20.2"
description = "Python bindings for the Tree-Sitter parsing library"
optional = true
python-versions = ">=3.3"
files = [
{file = "tree_sitter-0.20.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1a151ccf9233b0b84850422654247f68a4d78f548425c76520402ea6fb6cdb24"},
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]
[package.dependencies]
tree-sitter = "*"
[[package]]
name = "twine"
version = "3.8.0"
@ -7940,20 +7682,6 @@ files = [
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
]
[[package]]
name = "uc-micro-py"
version = "1.0.2"
description = "Micro subset of unicode data files for linkify-it-py projects."
optional = true
python-versions = ">=3.7"
files = [
{file = "uc-micro-py-1.0.2.tar.gz", hash = "sha256:30ae2ac9c49f39ac6dce743bd187fcd2b574b16ca095fa74cd9396795c954c54"},
{file = "uc_micro_py-1.0.2-py3-none-any.whl", hash = "sha256:8c9110c309db9d9e87302e2f4ad2c3152770930d88ab385cd544e7a7e75f3de0"},
]
[package.extras]
test = ["coverage", "pytest", "pytest-cov"]
[[package]]
name = "unstructured"
version = "0.10.16"
@ -8680,10 +8408,10 @@ cffi = ["cffi (>=1.11)"]
[extras]
all = []
deploy = ["celery", "flower", "langchain-serve", "redis"]
deploy = ["celery", "flower", "redis"]
local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.11"
content-hash = "ebf83fe66c2a78ceffc2c9228b439db10b37d0e444dd3f275e1a1addab1fd164"
content-hash = "d6c40b61e57b81511fbc91972f94686751c220850fd72599483b232fa22b70ad"

View file

@ -51,7 +51,6 @@ psycopg2-binary = "^2.9.6"
pyarrow = "^12.0.0"
tiktoken = "~0.4.0"
wikipedia = "^1.4.0"
langchain-serve = { version = ">0.0.51", optional = true }
qdrant-client = "^1.4.0"
websockets = "^10.3"
weaviate-client = "^3.23.0"

View file

@ -1,5 +1,8 @@
import platform
import socket
import sys
import time
import webbrowser
import httpx
from langflow.services.database.utils import session_getter
from langflow.services.manager import initialize_services, initialize_settings_service
@ -9,18 +12,22 @@ from multiprocess import Process, cpu_count # type: ignore
import platform
from pathlib import Path
from typing import Optional
import socket
from rich.panel import Panel
import httpx
import typer
from dotenv import load_dotenv
from multiprocess import Process, cpu_count # type: ignore
from rich import box
from rich import print as rprint
from rich.table import Table
import typer
from langflow.main import setup_app
from langflow.utils.logger import configure, logger
import webbrowser
from dotenv import load_dotenv
from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.getters import get_db_manager, get_settings_manager
from langflow.services.utils import initialize_services, initialize_settings_manager
from langflow.utils.logger import configure, logger
console = Console()
@ -79,52 +86,6 @@ def update_settings(
settings_service.settings.update_settings(COMPONENTS_PATH=components_path)
def serve_on_jcloud():
"""
Deploy Langflow server on Jina AI Cloud
"""
import asyncio
from importlib.metadata import version as mod_version
import click
try:
from lcserve.__main__ import serve_on_jcloud # type: ignore
except ImportError:
click.secho(
"🚨 Please install langchain-serve to deploy Langflow server on Jina AI Cloud "
"using `pip install langchain-serve`",
fg="red",
)
return
app_name = "langflow.lcserve:app"
app_dir = str(Path(__file__).parent)
version = mod_version("langflow")
base_image = "jinaai+docker://deepankarm/langflow"
click.echo("🚀 Deploying Langflow server on Jina AI Cloud")
app_id = asyncio.run(
serve_on_jcloud(
fastapi_app_str=app_name,
app_dir=app_dir,
uses=f"{base_image}:{version}",
name="langflow",
)
)
click.secho(
"🎉 Langflow server successfully deployed on Jina AI Cloud 🎉", fg="green"
)
click.secho(
"🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): ",
nl=False,
fg="green",
)
click.secho(f"https://{app_id}.wolf.jina.ai/", fg="blue")
click.secho("📖 Read more about managing the server: ", nl=False, fg="green")
click.secho("https://github.com/jina-ai/langchain-serve", fg="blue")
@app.command()
def run(
host: str = typer.Option(
@ -158,7 +119,6 @@ def run(
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
default=None,
),
jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
# This variable does not work but is set by the .env file
# and works with Pydantic
@ -195,9 +155,6 @@ def run(
if env_file:
load_dotenv(env_file, override=True)
if jcloud:
return serve_on_jcloud()
configure(log_level=log_level, log_file=log_file)
update_settings(
config,

View file

@ -1,2 +0,0 @@
instance: C4
autoscale_min: 1

View file

@ -1,15 +0,0 @@
# This file is used by lc-serve to load the mounted app and serve it.
import os
# Use the JCLOUD_WORKSPACE for db URL if it's provided by JCloud.
if "JCLOUD_WORKSPACE" in os.environ:
os.environ[
"LANGFLOW_DATABASE_URL"
] = f"sqlite:///{os.environ['JCLOUD_WORKSPACE']}/langflow.db"
from langflow.main import setup_app
from langflow.utils.logger import configure
configure(log_level="DEBUG")
app = setup_app()