HydraMCP Agent Connector

List all available models across all providers. Run this first to see what you can query.

Query any AI model with a prompt. Returns the model's response with metadata. OUTPUT: Markdown with the model's response, latency, and token usage. If max_response_tokens is set and compression occurred, includes distillation metadata (original tokens, compressed tokens, compressor model, compressor latency). Shows "Saved: X tokens (Y% smaller)" when compression is active. Shows "(cached)" when response is served from cache. WHEN TO USE: When you need another model's perspective, analysis, or capabilities. Set max_response_tokens to control how much of your context window this response consumes — the response will be distilled by a fast model to fit the budget while preserving code, file paths, errors, and actionable details. Set include_raw=true to see both compressed and original responses for quality verification. FAILURE MODES: - "Model query failed (4xx/5xx)" → The model or provider is unavailable. Try a different model or check that CLIProxyAPI/Ollama is running. - "circuit breaker open" → The model failed too many times recently. Try a different model or wait for automatic recovery. - Compression silently skipped → If the compressor model is unavailable or the response already fits the budget, the raw response is returned unchanged. This is not an error.

Query 2-5 models in parallel with the same prompt. Returns side-by-side comparison with latency and token metrics.

Query 3-7 models and aggregate responses using voting strategy (majority/supermajority/unanimous). Returns consensus answer with confidence score.

Query 2-5 models in parallel, then combine their best ideas into one answer. Returns a synthesized response that's better than any single model.