【share】Custom Provider py file for OPENROUTER

You can add any model you what to use to MODELDICT and model list and Remember to add your key：
```python
from chainforge.providers import provider
from openai import OpenAI

OPENROUTER_API_KEY = your_key #add your key here
# JSON schemas to pass react-jsonschema-form, one for this provider's settings and one to describe the settings UI.
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=OPENROUTER_API_KEY)

OPENROUTER_SETTINGS_SCHEMA = {
"settings": {
"temperature": {
"type": "number",
"title": "temperature",
"description": "Controls the 'creativity' or randomness of the response.",
"default": 0.75,
"minimum": 0,
"maximum": 2.0,
"multipleOf": 0.01,
},
"max_tokens": {
"type": "integer",
"title": "max_tokens",
"description": "Maximum number of tokens to generate in the response.",
"default": 8024,
"minimum": 1,
"maximum": 320123,
},
},
"ui": {
"temperature": {
"ui:help": "Defaults to 1.0.",
"ui:widget": "range"
},
"max_tokens": {
"ui:help": "Defaults to 100.",
"ui:widget": "range"
},
}
}

MODELDICT={
'llama-3.1-8b-instruct':'meta-llama/llama-3.1-8b-instruct',
'llama-3.1-70b-instruct':'meta-llama/llama-3.1-70b-instruct',
'llama-3.1-405b-instruct':'meta-llama/llama-3.1-405b-instruct',
'gpt-4o-mini':'openai/gpt-4o-mini',
'gpt-4o':'openai/gpt-4o',
'gpt-4-turbo':'openai/gpt-4-turbo',
'mistral-nemo':'mistralai/mistral-nemo',
'gemma-2-27b-it':'google/gemma-2-27b-it',
'gemma-2-9b-it':'google/gemma-2-9b-it',
'gemini-flash-1.5':'google/gemini-flash-1.5',
'gemini-pro-1.5':'google/gemini-pro-1.5',
'deepseek-chat':'deepseek/deepseek-chat',
'deepseek-coder': 'deepseek/deepseek-coder',
'claude-3.5-sonnet':'anthropic/claude-3.5-sonnet',
'qwen-2-72b-instruct':'qwen/qwen-2-72b-instruct',
'qwen-72b-chat':'qwen/qwen-72b-chat',
'qwen-110b-chat':'qwen/qwen-110b-chat',
'llama-3-70b-instruct': 'meta-llama/llama-3-70b-instruct',
'llama-3-8b-instruct': 'meta-llama/llama-3-8b-instruct',
'auto': 'openrouter/auto'
}

# Our custom model provider for OpenRouter text generation API.

@provider(name="OpenRouter",
emoji="🚀",
models=[
'llama-3.1-8b-instruct',
'llama-3.1-70b-instruct',
'llama-3.1-405b-instruct',
'gpt-4o-mini',
'gpt-4o',
'gpt-4-turbo',
'mistral-nemo',
'gemma-2-27b-it',
'gemma-2-9b-it',
'gemini-flash-1.5',
'gemini-pro-1.5',
'deepseek-chat',
'deepseek-coder',
'claude-3.5-sonnet',
'qwen-2-72b-instruct',
'qwen-72b-chat',
'qwen-110b-chat',
'llama-3-70b-instruct',
'llama-3-8b-instruct',
'auto'
],
rate_limit="60", # enter "sequential" for blocking; an integer N > 0 means N is the max mumber of requests per minute.
settings_schema=OPENROUTER_SETTINGS_SCHEMA
)

def OpenRouterCompletion(prompt: str, model: str, temperature: float, **kwargs) -> str:
completion = client.chat.completions.create(
model = MODELDICT[model],
temperature = temperature,
messages = [
{
"role": "user",
"content": prompt
},
],
)
return completion.choices[0].message.content

```