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<script> | |
import { getContext, createEventDispatcher, onMount, tick } from 'svelte'; | |
import { goto } from '$app/navigation'; | |
const dispatch = createEventDispatcher(); | |
const i18n = getContext('i18n'); | |
import CodeEditor from '$lib/components/common/CodeEditor.svelte'; | |
import ConfirmDialog from '$lib/components/common/ConfirmDialog.svelte'; | |
import Badge from '$lib/components/common/Badge.svelte'; | |
import Tooltip from '$lib/components/common/Tooltip.svelte'; | |
import ChevronLeft from '$lib/components/icons/ChevronLeft.svelte'; | |
let formElement = null; | |
let loading = false; | |
let showConfirm = false; | |
export let edit = false; | |
export let clone = false; | |
export let id = ''; | |
export let name = ''; | |
export let meta = { | |
description: '' | |
}; | |
export let content = ''; | |
let _content = ''; | |
$: if (content) { | |
updateContent(); | |
} | |
const updateContent = () => { | |
_content = content; | |
}; | |
$: if (name && !edit && !clone) { | |
id = name.replace(/\s+/g, '_').toLowerCase(); | |
} | |
let codeEditor; | |
let boilerplate = `""" | |
title: Example Filter | |
author: open-webui | |
author_url: https://github.com/open-webui | |
funding_url: https://github.com/open-webui | |
version: 0.1 | |
""" | |
from pydantic import BaseModel, Field | |
from typing import Optional | |
class Filter: | |
class Valves(BaseModel): | |
priority: int = Field( | |
default=0, description="Priority level for the filter operations." | |
) | |
max_turns: int = Field( | |
default=8, description="Maximum allowable conversation turns for a user." | |
) | |
pass | |
class UserValves(BaseModel): | |
max_turns: int = Field( | |
default=4, description="Maximum allowable conversation turns for a user." | |
) | |
pass | |
def __init__(self): | |
# Indicates custom file handling logic. This flag helps disengage default routines in favor of custom | |
# implementations, informing the WebUI to defer file-related operations to designated methods within this class. | |
# Alternatively, you can remove the files directly from the body in from the inlet hook | |
# self.file_handler = True | |
# Initialize 'valves' with specific configurations. Using 'Valves' instance helps encapsulate settings, | |
# which ensures settings are managed cohesively and not confused with operational flags like 'file_handler'. | |
self.valves = self.Valves() | |
pass | |
def inlet(self, body: dict, __user__: Optional[dict] = None) -> dict: | |
# Modify the request body or validate it before processing by the chat completion API. | |
# This function is the pre-processor for the API where various checks on the input can be performed. | |
# It can also modify the request before sending it to the API. | |
print(f"inlet:{__name__}") | |
print(f"inlet:body:{body}") | |
print(f"inlet:user:{__user__}") | |
if __user__.get("role", "admin") in ["user", "admin"]: | |
messages = body.get("messages", []) | |
max_turns = min(__user__["valves"].max_turns, self.valves.max_turns) | |
if len(messages) > max_turns: | |
raise Exception( | |
f"Conversation turn limit exceeded. Max turns: {max_turns}" | |
) | |
return body | |
def outlet(self, body: dict, __user__: Optional[dict] = None) -> dict: | |
# Modify or analyze the response body after processing by the API. | |
# This function is the post-processor for the API, which can be used to modify the response | |
# or perform additional checks and analytics. | |
print(f"outlet:{__name__}") | |
print(f"outlet:body:{body}") | |
print(f"outlet:user:{__user__}") | |
return body | |
`; | |
const _boilerplate = `from pydantic import BaseModel | |
from typing import Optional, Union, Generator, Iterator | |
from open_webui.utils.misc import get_last_user_message | |
import os | |
import requests | |
# Filter Class: This class is designed to serve as a pre-processor and post-processor | |
# for request and response modifications. It checks and transforms requests and responses | |
# to ensure they meet specific criteria before further processing or returning to the user. | |
class Filter: | |
class Valves(BaseModel): | |
max_turns: int = 4 | |
pass | |
def __init__(self): | |
# Indicates custom file handling logic. This flag helps disengage default routines in favor of custom | |
# implementations, informing the WebUI to defer file-related operations to designated methods within this class. | |
# Alternatively, you can remove the files directly from the body in from the inlet hook | |
self.file_handler = True | |
# Initialize 'valves' with specific configurations. Using 'Valves' instance helps encapsulate settings, | |
# which ensures settings are managed cohesively and not confused with operational flags like 'file_handler'. | |
self.valves = self.Valves(**{"max_turns": 2}) | |
pass | |
def inlet(self, body: dict, user: Optional[dict] = None) -> dict: | |
# Modify the request body or validate it before processing by the chat completion API. | |
# This function is the pre-processor for the API where various checks on the input can be performed. | |
# It can also modify the request before sending it to the API. | |
print(f"inlet:{__name__}") | |
print(f"inlet:body:{body}") | |
print(f"inlet:user:{user}") | |
if user.get("role", "admin") in ["user", "admin"]: | |
messages = body.get("messages", []) | |
if len(messages) > self.valves.max_turns: | |
raise Exception( | |
f"Conversation turn limit exceeded. Max turns: {self.valves.max_turns}" | |
) | |
return body | |
def outlet(self, body: dict, user: Optional[dict] = None) -> dict: | |
# Modify or analyze the response body after processing by the API. | |
# This function is the post-processor for the API, which can be used to modify the response | |
# or perform additional checks and analytics. | |
print(f"outlet:{__name__}") | |
print(f"outlet:body:{body}") | |
print(f"outlet:user:{user}") | |
messages = [ | |
{ | |
**message, | |
"content": f"{message['content']} - @@Modified from Filter Outlet", | |
} | |
for message in body.get("messages", []) | |
] | |
return {"messages": messages} | |
# Pipe Class: This class functions as a customizable pipeline. | |
# It can be adapted to work with any external or internal models, | |
# making it versatile for various use cases outside of just OpenAI models. | |
class Pipe: | |
class Valves(BaseModel): | |
OPENAI_API_BASE_URL: str = "https://api.openai.com/v1" | |
OPENAI_API_KEY: str = "your-key" | |
pass | |
def __init__(self): | |
self.type = "manifold" | |
self.valves = self.Valves() | |
self.pipes = self.get_openai_models() | |
pass | |
def get_openai_models(self): | |
if self.valves.OPENAI_API_KEY: | |
try: | |
headers = {} | |
headers["Authorization"] = f"Bearer {self.valves.OPENAI_API_KEY}" | |
headers["Content-Type"] = "application/json" | |
r = requests.get( | |
f"{self.valves.OPENAI_API_BASE_URL}/models", headers=headers | |
) | |
models = r.json() | |
return [ | |
{ | |
"id": model["id"], | |
"name": model["name"] if "name" in model else model["id"], | |
} | |
for model in models["data"] | |
if "gpt" in model["id"] | |
] | |
except Exception as e: | |
print(f"Error: {e}") | |
return [ | |
{ | |
"id": "error", | |
"name": "Could not fetch models from OpenAI, please update the API Key in the valves.", | |
}, | |
] | |
else: | |
return [] | |
def pipe(self, body: dict) -> Union[str, Generator, Iterator]: | |
# This is where you can add your custom pipelines like RAG. | |
print(f"pipe:{__name__}") | |
if "user" in body: | |
print(body["user"]) | |
del body["user"] | |
headers = {} | |
headers["Authorization"] = f"Bearer {self.valves.OPENAI_API_KEY}" | |
headers["Content-Type"] = "application/json" | |
model_id = body["model"][body["model"].find(".") + 1 :] | |
payload = {**body, "model": model_id} | |
print(payload) | |
try: | |
r = requests.post( | |
url=f"{self.valves.OPENAI_API_BASE_URL}/chat/completions", | |
json=payload, | |
headers=headers, | |
stream=True, | |
) | |
r.raise_for_status() | |
if body["stream"]: | |
return r.iter_lines() | |
else: | |
return r.json() | |
except Exception as e: | |
return f"Error: {e}" | |
`; | |
const saveHandler = async () => { | |
loading = true; | |
dispatch('save', { | |
id, | |
name, | |
meta, | |
content | |
}); | |
}; | |
const submitHandler = async () => { | |
if (codeEditor) { | |
content = _content; | |
await tick(); | |
const res = await codeEditor.formatPythonCodeHandler(); | |
await tick(); | |
content = _content; | |
await tick(); | |
if (res) { | |
console.log('Code formatted successfully'); | |
saveHandler(); | |
} | |
} | |
}; | |
</script> | |
<div class=" flex flex-col justify-between w-full overflow-y-auto h-full"> | |
<div class="mx-auto w-full md:px-0 h-full"> | |
<form | |
bind:this={formElement} | |
class=" flex flex-col max-h-[100dvh] h-full" | |
on:submit|preventDefault={() => { | |
if (edit) { | |
submitHandler(); | |
} else { | |
showConfirm = true; | |
} | |
}} | |
> | |
<div class="flex flex-col flex-1 overflow-auto h-0 rounded-lg"> | |
<div class="w-full mb-2 flex flex-col gap-0.5"> | |
<div class="flex w-full items-center"> | |
<div class=" flex-shrink-0 mr-2"> | |
<Tooltip content={$i18n.t('Back')}> | |
<button | |
class="w-full text-left text-sm py-1.5 px-1 rounded-lg dark:text-gray-300 dark:hover:text-white hover:bg-black/5 dark:hover:bg-gray-850" | |
on:click={() => { | |
goto('/workspace/functions'); | |
}} | |
type="button" | |
> | |
<ChevronLeft strokeWidth="2.5" /> | |
</button> | |
</Tooltip> | |
</div> | |
<div class="flex-1"> | |
<input | |
class="w-full text-2xl font-medium bg-transparent outline-none font-primary" | |
type="text" | |
placeholder={$i18n.t('Function Name (e.g. My Filter)')} | |
bind:value={name} | |
required | |
/> | |
</div> | |
<div> | |
<Badge type="muted" content={$i18n.t('Function')} /> | |
</div> | |
</div> | |
<div class=" flex gap-2 px-1"> | |
{#if edit} | |
<div class="text-sm text-gray-500 flex-shrink-0"> | |
{id} | |
</div> | |
{:else} | |
<input | |
class="w-full text-sm disabled:text-gray-500 bg-transparent outline-none" | |
type="text" | |
placeholder={$i18n.t('Function ID (e.g. my_filter)')} | |
bind:value={id} | |
required | |
disabled={edit} | |
/> | |
{/if} | |
<input | |
class="w-full text-sm bg-transparent outline-none" | |
type="text" | |
placeholder={$i18n.t( | |
'Function Description (e.g. A filter to remove profanity from text)' | |
)} | |
bind:value={meta.description} | |
required | |
/> | |
</div> | |
</div> | |
<div class="mb-2 flex-1 overflow-auto h-0 rounded-lg"> | |
<CodeEditor | |
bind:this={codeEditor} | |
value={content} | |
lang="python" | |
{boilerplate} | |
on:change={(e) => { | |
_content = e.detail.value; | |
}} | |
on:save={async () => { | |
if (formElement) { | |
formElement.requestSubmit(); | |
} | |
}} | |
/> | |
</div> | |
<div class="pb-3 flex justify-between"> | |
<div class="flex-1 pr-3"> | |
<div class="text-xs text-gray-500 line-clamp-2"> | |
<span class=" font-semibold dark:text-gray-200">{$i18n.t('Warning:')}</span> | |
{$i18n.t('Functions allow arbitrary code execution')} <br />— | |
<span class=" font-medium dark:text-gray-400" | |
>{$i18n.t(`don't install random functions from sources you don't trust.`)}</span | |
> | |
</div> | |
</div> | |
<button | |
class="px-3.5 py-1.5 text-sm font-medium bg-black hover:bg-gray-900 text-white dark:bg-white dark:text-black dark:hover:bg-gray-100 transition rounded-full" | |
type="submit" | |
> | |
{$i18n.t('Save')} | |
</button> | |
</div> | |
</div> | |
</form> | |
</div> | |
</div> | |
<ConfirmDialog | |
bind:show={showConfirm} | |
on:confirm={() => { | |
submitHandler(); | |
}} | |
> | |
<div class="text-sm text-gray-500"> | |
<div class=" bg-yellow-500/20 text-yellow-700 dark:text-yellow-200 rounded-lg px-4 py-3"> | |
<div>{$i18n.t('Please carefully review the following warnings:')}</div> | |
<ul class=" mt-1 list-disc pl-4 text-xs"> | |
<li>{$i18n.t('Functions allow arbitrary code execution.')}</li> | |
<li>{$i18n.t('Do not install functions from sources you do not fully trust.')}</li> | |
</ul> | |
</div> | |
<div class="my-3"> | |
{$i18n.t( | |
'I acknowledge that I have read and I understand the implications of my action. I am aware of the risks associated with executing arbitrary code and I have verified the trustworthiness of the source.' | |
)} | |
</div> | |
</div> | |
</ConfirmDialog> | |