Send a prompt to any AI provider (ChatGPT, Gemini, Claude, Ollama, etc.). Uses the active provider/model by default, or specify a different one.

Switch the active AI provider and model. After switching, all subsequent nexus_ask calls will use the new provider/model.

List all available AI providers and their models, with status indicators. Optionally filter by a specific provider.

Health check all configured AI providers. Shows connection status, latency, and any errors.

Configure a provider directly from chat — set API keys, base URLs, enable/disable providers. For full management, use the web dashboard.

Open a browser window for re-authentication with a provider. Log into your account, then close the browser. Your session will be saved for future use. Supported providers: openai, gemini, anthropic, perplexity, mistral, cohere, huggingface, deepseek, groq

Spawn one or more AI subagent tasks for parallel execution. Each task targets a specific provider/model with its own prompt. Returns a batch ID — use nexus_subagent_run to execute.

Execute all tasks in a spawned batch in parallel. Waits for all to complete. Returns results from every model with metadata (text, latency, tokens, errors).

Multi-model collaboration pipeline. Models work sequentially: first model produces output, next reviews/refines, optional final model synthesizes. Returns final output plus all intermediate steps showing each model's contribution.

Check status of subagent batches. Shows pending, running, or completed batches with results. Omit batchId to list all recent batches.

Run an autonomous AI agent that can read files, write code, execute shell commands, search the web, and iterate until the task is complete. The agent uses the specified model (GPT-5.4, Nemotron, Gemini, etc.) and works independently through a ReAct loop. Returns the final answer plus a full trace of every action taken.

Run multiple autonomous AI agents IN PARALLEL, each with its own model and task. Each agent independently reads files, writes code, and executes commands. Perfect for divide-and-conquer tasks: one agent codes while another tests, or multiple agents each tackle a different part of a large codebase. All agents run simultaneously and results are returned together.

Execute a structured multi-step plan where Claude is the orchestrator and Nexus agents do the work. Independent steps run IN PARALLEL. Dependent steps wait and receive context from prior steps. Use mode="agent" for steps that need file access/code execution. Use mode="prompt" for analysis/review steps. Opus plans, Nexus executes.

Check the status of a previously executed plan. Returns per-step results and metadata.

Convene a multi-model council where AI agents deliberate in rounds and Opus makes the final decision. DISCUSSION: Models build on each other collaboratively. DEBATE: Models challenge each other adversarially. RESEARCH: Models investigate with tools (file read, web search) and cross-reference findings. All participants respond in parallel each round, seeing all prior contributions. Use this for architecture decisions, code reviews, security audits, complex analysis.