Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/scaleway/scaleway-cli/inferencegit clone --depth 1 https://github.com/scaleway/scaleway-cliWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.02419 |
| Opus 5 | $0.00000 | $0.01210 |
| Sonnet 5 | $0.00000 | $0.00484 |
| Haiku 4.5 | $0.00000 | $0.00242 |
Grade A, and why
inference scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
86% identical to datawarehouse — 322 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation for scw inference
This API allows you to handle your Generative APIs - Dedicated Deployment services.
Deployment commands
Deployment commands.
Create a deployment
Create a new inference deployment related to a specific model.
Usage:
scw inference deployment create [arg=value ...]
Arguments:
| Name | Description | Argument Specifications |
|---|---|---|
| name | Name of the deployment | RequiredDefault: <generated> |
| project-id | Project ID to use. If none is passed the default project ID will be used | |
| model-id | ID of the model to use | Required |
| accept-eula | Accept the model's End User License Agreement (EULA). | |
| node-type-name | Name of the node type to use | Required |
| tags.{index} | List of tags to apply to the deployment | |
| min-size | Defines the minimum size of the pool | |
| max-size | Defines the maximum size of the pool. Currently, autoscaling is not yet supported, and this value must be equal to min_size |
|
| endpoints.{index}.public-network | Set the endpoint as public | |
| endpoints.{index}.is-public | Will configure your public endpoint if true | Default: true |
| endpoints.{index}.private-network.private-network-id | ||
| endpoints.{index}.disable-auth | Disable the authentication on the endpoint. | Default: false |
| quantization.bits | The number of bits each model parameter should be quantized to. The quantization method is chosen based on this value. | |
| region | Region to target. If none is passed will use default region from the config | Default: fr-parOne of: fr-par |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 351 lines · 0 tokens per session scan A 7645427ff41f
inference is a command published in the GitHub repository scaleway/scaleway-cli (996 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,419 tokens. A static security scan graded it A with 0 findings. It is 86% identical to datawarehouse, differing in 322 lines, and is treated as a copy.
Other commands, from other repositories
canvas
Canvas LMS CLI - Interact with Canvas from the command line.
openui-integrate
Wire up the LLM backend — the core integration command.
canvas_account-features
Manage Canvas account feature flags and settings.
canvas_account-content-migrations_get
Command "canvas_account-content-migrations_get" from jjuanrivvera/canvas-cli, covering canvas account-content-migrations get, options, options inherited from parent commands and see also.
canvas_account-logins_update
Command "canvas_account-logins_update" from jjuanrivvera/canvas-cli, covering canvas account-logins update, options, options inherited from parent commands and see also.
plan
Show diff between YAML and current GitHub state. No mutations are made.