pi-deepinfra

A pi extension that adds the DeepInfra provider: 90+ hosted chat models (DeepSeek, Qwen, Llama, Gemma, Mistral, plus hosted frontier models like Claude and Gemini), with dynamic model discovery, reasoning-effort control, vision, and a footer statusline showing session token usage + cost and DeepInfra monthly usage.

Install

Requires pi.

• npm (recommended):

  pi install npm:pi-deepinfra

• git (latest source):

  pi install git:github.com/puetsua/pi-deepinfra

1. Authenticate — either:

   • Interactive: inside pi, run /login deepinfra and paste your API key (from https://deepinfra.com/dash/api_keys). The key is stored in ~/.pi/agent/auth.json.
   • Environment: set DEEPINFRA_API_KEY in your shell.

   If a deepinfra api_key entry already exists in ~/.pi/agent/auth.json, it is picked up automatically.

2. Restart pi (or /reload), then select a model:

   /model deepinfra/deepseek-ai/DeepSeek-V4-Flash-0731

What you get

| Feature | Notes | |---|---| | Model catalog | Registered instantly with a curated fallback list — startup never blocks on the network. The live catalog from https://api.deepinfra.com/v1/openai/models is fetched lazily at session start, swapped in over the fallback, and cached in ~/.pi/agent/cache/deepinfra-models.json so later startups register the full catalog instantly (needed by clients that select a model right after launching pi, e.g. RPC mode) — no API key required (the catalog is public), so models are ready the moment a key is added. All chat-tagged models are registered (embeddings/image/TTS/STT excluded). | | Streaming | openai-completions API; SSE streaming with reasoning_content thinking deltas on reasoning models. | | Thinking levels | reasoning_effort maps 1:1 to pi thinking levels (minimal…max); off → none. E.g. Ctrl+P or /model + thinking level cycling works as usual. | | Vision | vision-tagged models accept image input. | | Tool calling | Standard OpenAI tools/tool_choice. | | Cost tracking | Input/output/cache prices from the catalog ($ per 1M tokens, cache_read_tokens when DeepInfra publishes it). Override per model in ~/.pi/agent/models.json if needed. | | Footer statusline | While a DeepInfra model is active: ↑12.3k ↓4.5k · $0.042 for session tokens+cost, plus M: $12.34 / $50.00 for DeepInfra monthly usage when a spending limit is configured (via /payment/config), or M: $12.34 otherwise. The session figures count only assistant usage attributed to the DeepInfra provider, so switching to another model/provider mid-session never mixes their tokens/cost into these totals. Refresh with /deepinfra-billing. |

Commands

• /deepinfra-billing — refresh the monthly-usage figure in the footer (also refreshed on session start / model select; no background polling).

Configuration

• API key: /login deepinfra, DEEPINFRA_API_KEY, or the auth.json credential.

• Per-model overrides (prices, context, max tokens): standard pi ~/.pi/agent/models.json mechanism, e.g.:

  {
    "deepinfra": {
      "models": [
        {
          "id": "deepseek-ai/DeepSeek-V4-Flash-0731",
          "cost": { "input": 0.09, "output": 0.18, "cacheRead": 0.018, "cacheWrite": 0 }
        }
      ]
    }
  }

  Note: models.json deepinfra entries replace the extension's models for that provider — set a full models list there if you use it.