# Grid-agent LLM runtime MetaCrate delegates the conversation runtime to Mentra. `llm.endpoint_url` is the provider base URL, `llm.api_key` is its bearer credential, and `llm.model` is the model ID. Mentra owns the Responses request path, HTTP/SSE streaming, message history, tool-call rounds, provider errors, cancellation, compaction, and persisted runtime state. MetaCrate does not implement a second HTTP client or parse SSE itself. For an OpenAI-compatible provider, configure the base that Mentra can extend with `v1/responses`. For example, a proxy base ending in `/go` is valid when its Responses endpoint is `/go/v1/responses`; do not include that final path in MetaCrate configuration. Endpoint behavior, redirects, response transport, and provider retry semantics are Mentra responsibilities. ## Conversation and memory The main system prompt is intentionally minimal: > You are in an OpenSim virtual world. Use the available tools to act there. It contains no authorization claims. MetaCrate derives authority from the authenticated sender UUID and channel, then gives Mentra only the permitted tool profile. Every tool call is checked again by `PolicyGateway`; prompt text cannot grant authority. Authorized IM agents have a stable avatar-scoped Mentra identity, so history, compaction, and memory survive IM session changes and process restarts. Public and unprivileged conversations remain session-scoped and receive neither durable memory tools nor privileged grid tools. Authorized agents receive Mentra's `memory_search`, `memory_pin`, and `memory_forget` tools. Automatic memory injection is disabled because Mentra 0.18.3 appends recalled memory as a new user turn after the current request; explicit memory tools preserve durable learning without displacing the command being handled. Runtime records use `HybridRuntimeStore`: conversation/runtime state is stored in `runtime.sqlite`, with the associated Mentra memory store and transcript, task, team, and workspace paths under the configured state directory. ## Tools and autonomous safety review Mentra receives the JSON schemas registered by MetaCrate. It validates and orchestrates model tool calls; `PolicyToolExecutor` is the only bridge to grid backends. The gateway independently binds authorization to the authenticated principal, origin, exact canonical arguments, estimated resource cost, expiry, and single execution. An action above its approval-free risk threshold does not wait for a human operator. MetaCrate starts a separate one-shot Mentra agent backed by a fresh volatile store. That reviewer has no tools, history, or memory and receives only the proposed tool, exact arguments, and resource estimate as untrusted data. Only an explicit `ALLOW` verdict grants the existing single-use bound approval; `DENY`, transport failure, an invalid verdict, timeout, or cancellation fails closed. Human control-plane decisions remain an emergency facility, not a requirement for autonomous operation. ## Images Vision captures are real software-rendered viewport images. MetaCrate renders the current scene, encodes the final frame directly as JPEG, and attaches it as a Mentra image content block. The default 320x180 frame, quality, entity, triangle, texture-fetch, decoded-pixel, byte, rate, and concurrency limits are validated before runtime. JPEG avoids the much larger PNG payloads. The current renderer handles legacy prim geometry, approximate texture colors, simple avatars, and flat terrain/water. Viewer-grade mesh/sculpt rendering, full UV materials, lighting, authoritative terrain, and model-controlled camera tools are tracked separately. ## Bounds and cancellation MetaCrate sets generous but finite run budgets on Mentra: model rounds, tool calls, stored history, and total wall-clock time. The default interaction/model window is two minutes. Grid disconnect, session replacement, expiry, operator cancel, and shutdown bridge the generation cancellation token into Mentra. Non-idempotent ambiguous mutations stop immediately and are never retried. The provider proxy used in live verification could not combine replayed input with `previous_response_id`, so MetaCrate selects Mentra's full-history Responses mode for that provider. Mentra still owns the transport and history. ## Verification The focused suite uses loopback Responses/SSE endpoints and covers streamed text, images, tool rounds, compaction, persisted memory across restart, and schema validation: ```sh cargo test --locked -p metacrate-grid-agent --test llm_transport cargo clippy --locked -p metacrate-grid-agent --all-targets --all-features -- -D warnings ```