Access LLM, image, and video APIs through an OpenAI-compatible Routara gateway.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Routara LLM Gateway" MCP server from askskill: Run: claude mcp add 'io-github-36412749-collab-routara-mcp' -- npx -y routara-mcp
Show me example code for sending a chat completion request through Routara LLM Gateway using an OpenAI-compatible API, and point out where to replace the base URL and model parameters.
Provides a reference API example and highlights where to set the gateway URL and model configuration.
I want to call image generation through Routara's OpenAI-compatible interface. Give me a sample request and explain which fields usually contain the prompt and returned results.
Returns a sample image API request to help the user integrate a unified interface quickly.
Based on the description 'OpenAI-compatible LLM, image and video APIs via Routara,' outline a minimal integration plan showing how text, image, and video capabilities can be wrapped under one gateway.
Outputs a unified wrapping approach for developers planning multimodal API integration.
Developers building AI applications can use this tool to access Routara's LLM capabilities through an OpenAI-compatible interface, reducing integration effort. It fits projects that already use OpenAI-style API calls and need migration or expansion.
When a team needs text, image, and video AI capabilities together, this gateway can serve as a single entry point. It helps reduce the complexity of working with multiple API styles.
It is an MCP tool that provides OpenAI-compatible access via Routara for LLM, image, and video APIs. The provided information only confirms the compatibility style and capability scope.
Based on the description, it supports LLM, image, and video APIs. For specific model lists or endpoint details, see the source repository.
The current materials do not provide installation steps, runtime requirements, or API key configuration details. See the source repository for prerequisites and integration details.
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