Virtual assistants have moved beyond simple chatbots. Modern implementations combine multi-turn reasoning, tool execution, vision understanding, and voice I/O into a single coherent agent. Building one requires an inference backend that supports long conversational contexts, function calling, and multimodal pipelines without forcing you to stitch together multiple providers. Oxlo.ai provides a unified platform with 45+ open-source and proprietary models across 7 categories, fully OpenAI SDK compatible, and flat per-request pricing that removes the cost uncertainty of long system prompts and accumulated chat history.
Architecture of a Modern Virtual Assistant
A production virtual assistant typically needs four things: a reasoning engine, working memory, tool interfaces, and multimodal I/O. The reasoning engine handles user intent and planning. Working memory retains conversation state and retrieved knowledge. Tool interfaces let the assistant act on the world through APIs. Multimodal I/O supports text, images, and audio in the same session.
Oxlo.ai covers each layer through a single API. The chat/completions endpoint hosts general-purpose and reasoning models such as Llama 3.3 70B, DeepSeek R1 671B MoE, and Kimi K2.6. The embeddings endpoint supplies BGE-Large and E5-Large for retrieval-augmented memory. Vision tasks can route to Gemma 3 27B or Kimi VL A3B. For voice, Whisper Large v3 handles audio/transcriptions and Kokoro 82M handles audio/speech. This means you can keep the entire assistant stack on one provider instead of fragmenting infrastructure.
Model Selection for Assistant Workloads
Not every assistant task needs the same model. A fast classification or intent router can use a lightweight option, while deep reasoning or complex coding benefits from a larger specialist.
On Oxlo.ai, the selection includes:
- General-purpose dialogue: Llama 3.3 70B, GPT-Oss 120B.
- Multilingual agents and workflow planning: Qwen 3 32B.
- Deep reasoning and mathematics: DeepSeek R1 671B MoE, DeepSeek V4 Flash.
- Agentic coding and vision: Kimi K2.6, Kimi K2.5, Kimi K2 Thinking.
- Long-horizon agentic tasks: GLM 5 (744B MoE).
- Coding and tool use: Minimax M2.5, DeepSeek V3.2.
Because Oxlo.ai exposes
