@computesdk/pi-particle
Particle AI provider for Pi: particle-1, DeepSeek V4.1 Flash and GLM 5.3 Flash on Particle's OpenAI-compatible API.
Package details
Install @computesdk/pi-particle from npm and Pi will load the resources declared by the package manifest.
$ pi install npm:@computesdk/pi-particle- Package
@computesdk/pi-particle- Version
1.0.0- Published
- Oct 30, 2026
- Downloads
- 492/mo · 492/wk
- Author
- kisernl
- License
- MIT
- Types
- extension
- Size
- 6.9 KB
- Dependencies
- 0 dependencies · 1 peer
Pi manifest JSON
{
"extensions": [
"./index.ts"
]
}Security note
Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.
README
@computesdk/pi-particle
Particle AI as a Pi provider: an OpenAI-compatible inference platform for open-weight models.
pi install npm:@computesdk/pi-particle # or: pi -e /path/to/pi-extensions/packages/pi-particle
Set PARTICLE_API_KEY (keys look like pai-…) in your environment and the models show up in /model as particle/particle-1 and friends.
| Model | Input | Context | $/1M in | $/1M out |
|---|---|---|---|---|
particle-1 — Particle-1 |
text, image | 1M | 0.25 | 1.00 |
deepseek-ai/deepseek-v41-flash-1017 — DeepSeek V4.1 Flash |
text, image | 1M | 0.25 | 1.00 |
glm-5.3-flash — GLM 5.3 Flash |
text, image | 1M | 0.12 | 0.40 |
Endpoint https://api.particle.ai/v1, bearer auth, api: "openai-completions" — Pi's built-in implementation does the request, stream and tool-call plumbing, so the whole extension is one pi.registerProvider call with the catalog above. Prices are per 1M tokens at Particle's peak (standard) rates from docs.particle.ai/usage-billing; off-peak is half of these.
Pi's thinking levels map onto Particle's reasoning_effort ladder (none | low | high | xhigh | max; minimal/medium collapse onto low/high). GLM 5.3 Flash always reasons — Particle rejects reasoning_effort: "none" with a 400 — so off is marked unsupported (null) for that model rather than sent.
Development
pnpm test # tsc --noEmit && node test.ts
test.ts loads the extension with a fake Pi and checks every registered model: id, name, modalities, context/output limits, costs, uniqueness, and that every Pi thinking level is either mapped to a provider value or explicitly unsupported.
MIT licensed.