Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
KILAWATT_API_KEYYesKilawatt API key (starts with kw_live_)

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

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
deploy_gpu_nodeA

Provision real GPU compute on Kilawatt Cloud. Charges the caller's Kilawatt wallet and starts an actual machine. Set dry_run to true to price the run and check balance, spend caps, rate limits and concurrency without provisioning or charging anything.

x402_quoteB

Get the current price and Base USDC payment details for a GPU job without paying.

x402_run_jobB

Quote and, only with confirm=true and all spend caps passing, pay for one GPU job in Base USDC.

x402_job_statusB

Get the status of a job created through x402 using this server's locally saved API key.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 4 tools

Disambiguation3/5

The x402 trio (quote/run_job/status) has a clear preview-pay-check progression, but deploy_gpu_node overlaps heavily with x402_run_job since both provision GPU compute and charge the caller, and both support a dry-run/quote mode that echoes x402_quote. An agent could reasonably misselect between the Kilawatt-wallet path and the Base USDC x402 path.

Naming Consistency3/5

Three tools use a consistent x402_ prefix while deploy_gpu_node stands alone, and the verb/noun ordering varies across the set (x402_quote vs x402_job_status vs x402_run_job). It remains readable but the convention is not uniform.

Tool Count4/5

Four tools is on the lean side but fits the narrow domain of quoting, paying for, provisioning, and checking a single GPU job. Each tool maps to a distinct step in that lifecycle with little redundancy.

Completeness3/5

The quote/pay/status/deploy lifecycle is covered, but there is no cancel, refund, list-jobs, or log/result-retrieval operation, so an agent facing a failed or stuck job has limited recourse. The two parallel execution paths (x402 vs Kilawatt) also leave ambiguous ownership of follow-up operations.

Maintenance

ActivityActive
ResponsivenessResponsive