majiayu000 /bip.scout
Check remote server availability and resource usage. Runs bip scout to collect metrics, presents a human-readable summary, and answers follow-up questions by reasoning over the data.
Usage
/bip.scout [question]
Arguments:
[question]— Optional natural-language question (e.g., "which server has free GPUs?", "where should I run a training job?")
If no question is given, show a full summary of all servers.
Workflow
Step 1: Collect Server Metrics
Run bip scout from the nexus directory to get JSON output:
bip scout
If the command fails, check for common issues:
- Missing
servers.yml: "No servers.yml found. Create one in your nexus directory — seebip scout --help." - SSH authentication failure: Report the error and suggest checking SSH agent and
~/.ssh/config. - All servers offline: Report that all servers are unreachable and suggest checking network/VPN.
Step 2: Parse JSON Output
The JSON output has this structure:
{
"servers": [
{
"name": "servername",
"status": "online",
"metrics": {
"cpu_percent": 45.2,
"memory_percent": 62.1,
"load_avg_1min": 2.3,
"load_avg_5min": 1.8,
"load_avg_15min": 1.5,
"gpus": [
{
"utilization_percent": 85,
"memory_used_mb": 30720,
"memory_total_mb": 49152
}
],
"top_users": [
{"user": "alice", "cpu_percent": 45.2},
{"user": "bob", "cpu_percent": 12.1}
]
}
},
{
"name": "deadserver",
"status": "offline",
"error": "connection timed out"
}
]
}
Step 3: Present Results
If no question was asked, present a summary table showing:
- All servers grouped by status (online first, offline last)
- For online servers: CPU%, Memory%, per-GPU utilization and memory
- For offline servers: note them as unreachable
- Highlight servers with low utilization (CPU < 20%, no busy GPUs) as good candidates
If a question was asked, reason over the JSON data to answer it. Common question types:
| Question Type | How to Answer |
|---|---|
| "Which server has free GPUs?" | Find online servers where GPU utilization < 50% and GPU memory has headroom |
| "Where should I run a training job?" | Find servers with lowest GPU utilization and most free GPU memory |
| "Is server X available?" | Check that specific server's status and metrics |
| "What's the GPU memory on Y?" | Report per-GPU memory used/total for that server |
| "Which servers are idle?" | Find servers with CPU < 20% and memory < 50% |
| "Who is using server X?" | Report top_users with their CPU percentages |
Formatting guidelines:
- Use a markdown table for multi-server summaries
- Convert GPU memory from MB to GB for readability (divide by 1024)
- Show percentages with one decimal place
- For GPU-focused questions, show per-GPU breakdown (not just averages)
Step 4: Offer Follow-Up
After presenting results, briefly note that the user can ask follow-up questions like:
- "Which of these has the most free GPU memory?"
- "Run my job on the least-loaded GPU server"
Error Handling
- bip not found: Report error, suggest building with
go build -o bip ./cmd/bip - servers.yml missing: Report error, suggest creating config file
- SSH failures: Report which servers failed and why
- No GPU servers: Note that no servers are configured with
has_gpu: true