foreman
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| NVIDIA_API_KEY | Yes | API key from https://build.nvidia.com |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_processed_videosA | List videos that have been processed and are available to query. |
| list_alertsA | List verified safety alerts for a processed video. Args: video_id: which processed video; omit if only one has been processed. hazard_type: optional filter, one of the taxonomy keys. min_severity: low, medium or high. Defaults to low, meaning everything. Returns confirmed alerts only. Rejected detections are available via
|
| list_rejected_detectionsA | List detections the verifier rejected, with the evidence it found missing. Useful for auditing whether the system is suppressing real hazards. A rejection that looks wrong here is the fastest signal that the taxonomy's evidence bar for that class is set incorrectly. |
| search_timelineA | Search the footage in natural language. Searches every analysed window, not just the ones that produced an alert, so it answers questions the hazard taxonomy does not cover: "someone carrying a long load past the racking", "the aisle by the loading door", "anyone on a phone". Args: query: what to look for, in plain language. video_id: which processed video; omit if only one has been processed. k: how many windows to return. |
| explain_alertA | Return the full evidence chain behind one alert. Gives the proposing model's claim, its confidence, the verifier's reasoning and the standard cited, so a supervisor can judge the alert rather than take it on trust. |
| shift_summaryB | Summarise a processed shift: volumes, alert mix, and what was filtered out. |
| hazard_taxonomyA | The hazard classes this system detects, with evidence bars and known failure modes. Read this before interpreting alerts: each class has a specific evidence standard, and knowing it is the difference between reading an alert and trusting it. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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