feat: add FuturMix AI Gateway as chat model provider

[FuturMix]

Summary

Add FuturMix.ai as a new chat model provider, following the same pattern as ChatOpenRouter.

Files added:

• packages/components/credentials/FuturMixApi.credential.ts — API key credential
• packages/components/nodes/chatmodels/ChatFuturMix/ChatFuturMix.ts — Chat model component
• packages/components/nodes/chatmodels/ChatFuturMix/FlowiseChatFuturMix.ts — Multi-modal wrapper
• packages/components/nodes/chatmodels/ChatFuturMix/futurmix.svg — Provider icon

What is FuturMix?

FuturMix.ai is a unified AI gateway providing access to 22+ models (Claude, GPT, Gemini) through a single OpenAI-compatible API with 99.99% SLA. Base URL: https://futurmix.ai/v1

Implementation:

• Extends LangChain ChatOpenAI with custom baseURL (same pattern as ChatOpenRouter)
• Implements IVisionChatModal for multi-modal image upload support
• Supports streaming, temperature, max tokens, top-p, frequency/presence penalty
• Default base path: https://futurmix.ai/v1 (configurable)

[gemini-code-assist]

Code Review

This pull request introduces the FuturMix AI Gateway integration, adding a new credential type and a chat model node. The implementation leverages a wrapper around LangChain's OpenAI class to provide access to various models through the FuturMix API. Feedback was provided regarding the handling of the temperature parameter to prevent potential NaN values when the input is undefined or empty.

[gemini-code-assist]

The temperature parameter is currently assigned directly using parseFloat(temperature). If temperature is undefined or an empty string, this will result in NaN, which can cause issues in the underlying model request. It should be handled conditionally, consistent with how maxTokens, topP, and other optional parameters are processed later in the function.

Suggested change

	const obj: ChatOpenAIFields = {
	temperature: parseFloat(temperature),
	modelName,
	openAIApiKey: futurmixApiKey,
	apiKey: futurmixApiKey,
	streaming: streaming ?? true
	}
	const obj: ChatOpenAIFields = {
	modelName,
	openAIApiKey: futurmixApiKey,
	apiKey: futurmixApiKey,
	streaming: streaming ?? true
	}
	if (temperature) obj.temperature = parseFloat(temperature)