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GitHub deploy: 147a7d5cff70d15d1362635ac6a0b7800587e9c6
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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>