Configure Model Limits
Configure explicit model limits before onboarding so NemoClaw can bake them into the sandbox image. Changing an explicit build-time model limit on an existing sandbox requires fresh recreation.
Set OpenClaw Limits
Set the Hermes Context Window
Hermes accepts NEMOCLAW_CONTEXT_WINDOW as its model-limit override.
When onboarding resolves a valid value, NemoClaw writes it as model.context_length in /sandbox/.hermes/config.yaml.
For non-Ollama endpoints, the field remains unset when no explicit or probed value is available so Hermes can auto-detect it from the endpoint.
During inference set, NemoClaw recomputes the context window for the target model.
It writes model.context_length when it resolves a value and omits the field when Hermes must use endpoint auto-discovery.
When NemoClaw starts Local Ollama on macOS or Linux, it requests at least 64000 tokens.
Fresh onboarding then verifies the loaded model’s actual context_length through /api/ps.
Resumed onboarding and sandbox rebuilds warm the exact recorded Ollama model and repeat this verification before reusing its route.
When NEMOCLAW_CONTEXT_WINDOW is larger than 64000, the Ollama runtime must provide at least that larger value.
Onboarding stops before building the sandbox when Ollama reports a smaller, missing, or malformed value and shows the required OLLAMA_CONTEXT_LENGTH value for restarting Ollama.
Setting NEMOCLAW_CONTEXT_WINDOW does not raise the Ollama daemon’s runtime context or bypass this check.
Use Detected Local Limits
When NEMOCLAW_CONTEXT_WINDOW is unset, NemoClaw can use a context length reported by the selected local server.
Local Ollama reports the loaded model’s runtime context length.
Local vLLM and OpenAI-compatible endpoints can report max_model_len through /v1/models.
Set NEMOCLAW_CONTEXT_WINDOW when you need to override the detected value.
Recreate an Existing Sandbox
Model limits are build-time settings. Recreate the named sandbox after changing a supported value.
Related Topics
- Configure Inference Timeouts for request, validation, and readiness budgets.
- Switch Models to change the selected model.