🪂 pi-parasail-provider

30+ models via Parasail

DeepSeek, Qwen, GLM, Kimi, Llama, Gemma, Mistral — serverless with live pricing for pi.

Features

• Wide Model Selection — 30+ models from DeepSeek, Qwen, GLM, Kimi, Llama, Gemma, Mistral, MiniMax, and more
• Reasoning Models — DeepSeek V4, Qwen3, GLM 5, Kimi K2.5/K2.6, Trinity, MiniMax with thinking mode
• Vision Support — Qwen3-VL, Gemma 4, Qwen2.5-VL accept image + text input
• Unified API — OpenAI-compatible completions endpoint
• Long Context — DeepSeek V4 (1M), Llama 4 Maverick (1M), MiniMax M2.5 (1M)

Installation

Option 1: Using pi install (Recommended)

Install directly from GitHub:

pi install https://github.com/monotykamary/pi-parasail-provider

Then set your API key and run pi:

# Recommended: add to auth.json
# See Authentication section below

# Or set as environment variable
export PARASAIL_API_KEY=your-api-key-here

pi

Get your API key at parasail.io.

Option 2: Manual Clone

1. Clone this repository:

   git clone https://github.com/monotykamary/pi-parasail-provider.git
   cd pi-parasail-provider

2. Set your Parasail API key:

   # Recommended: add to auth.json
   # See Authentication section below
   
   # Or set as environment variable
   export PARASAIL_API_KEY=your-api-key-here

3. Run pi with the extension:

   pi -e /path/to/pi-parasail-provider

Available Models

| Model | Context | Reasoning | Input | Max Output | Input $/M | Output $/M | Cache $/M | |-------|---------|-----------|-------|------------|-----------|------------|-----------| | Cydonia 24B v4.1 | 131K | ❌ | Text | 16K | $0.30 | $0.50 | $0.15 | | DeepSeek V4 Flash | 1M | ✅ | Text | 384K | $0.14 | $0.28 | $0.07 | | Deepseek V4 Flash 0731 | 1M | ✅ | Text | 16K | $0.14 | $0.28 | $0.05 | | DeepSeek V4 Pro | 1M | ✅ | Text | 384K | $1.74 | $3.48 | $0.10 | | Deepseek V4 Pro 0813 | 1M | ❌ | Text | 16K | $1.32 | $3.96 | $0.04 | | Deepseek V41 Flash | 1M | ❌ | Text | 16K | $0.30 | $1.20 | $0.01 | | Gemma 3 27B | 131K | ❌ | Text + Image | 16K | $0.08 | $0.45 | $0.04 | | Gemma 4 26B (A4B) | 262K | ✅ | Text + Image | 16K | $0.13 | $0.40 | $0.05 | | Gemma 4 31B | 262K | ✅ | Text + Image | 16K | $0.15 | $0.40 | $0.06 | | Glm 52 | 262K | ✅ | Text | 16K | $1.40 | $4.40 | $0.26 | | Glm 53 | 1M | ❌ | Text | 16K | $1.40 | $4.40 | $0.26 | | Glm 53 Flash | 1M | ❌ | Text | 16K | $0.15 | $0.50 | $0.03 | | Googlegemma 3 4b It | 131K | ❌ | Text | 16K | $0.05 | — | — | | Gpt Oss 120b Fast | 131K | ✅ | Text | 16K | $0.15 | $0.60 | — | | GPT-OSS 120B | 131K | ✅ | Text | 16K | $0.10 | $0.75 | $0.06 | | GPT-OSS 20B | 131K | ✅ | Text | 16K | $0.03 | $0.15 | $0.02 | | Kimi K2.6 | 262K | ✅ | Text + Image | 16K | $0.75 | $3.50 | $0.16 | | Kimi K3 | 1M | ✅ | Text + Image | 16K | $3.00 | $15.00 | $0.30 | | Llama 3.3 70B | 131K | ❌ | Text | 16K | $0.22 | $0.50 | $0.11 | | Llama 32 3b Instruct | 131K | ❌ | Text | 16K | $0.05 | $0.33 | — | | Llama 4 Maverick 17B-128E | 524K | ❌ | Text + Image | 16K | $0.35 | $1.00 | $0.17 | | Minimax M3 | 1M | ✅ | Text + Image | 16K | $0.30 | $1.20 | $0.06 | | Mistral Small 32 24b | 131K | ❌ | Text | 16K | $0.09 | $0.30 | $0.05 | | Mistralaimistral Nemo | 131K | ❌ | Text | 16K | $0.03 | $0.03 | — | | Mythomax 13b | 4K | ❌ | Text | 16K | $0.08 | $0.11 | — | | Qwen 3.5 35B (A3B) | 262K | ✅ | Text + Image | 33K | $0.15 | $1.00 | $0.05 | | Qwen 3.5 397B (A17B) | 262K | ✅ | Text + Image | 33K | $0.50 | $3.60 | $0.30 | | Qwen 3.6 35B (A3B) | 262K | ✅ | Text + Image | 33K | $0.15 | $1.00 | $0.05 | | Qwen2.5-VL 72B | 128K | ❌ | Text + Image | 8K | $0.80 | $1.00 | $0.40 | | Qwen3 235B (A22B) | 131K | ✅ | Text | 33K | $0.14 | $0.80 | $0.05 | | Qwen3 Coder Next | 262K | ✅ | Text | 33K | $0.12 | $0.80 | $0.07 | | Qwen3 Next 80B (A3B) | 262K | ✅ | Text | 33K | $0.10 | $1.10 | $0.07 | | Qwen3-VL 235B (A22B) | 131K | ✅ | Text + Image | 33K | $0.21 | $1.90 | $0.10 | | Qwen3-VL 8B | 262K | ✅ | Text + Image | 8K | $0.25 | $0.75 | $0.12 | | Qwen35 9b | 262K | ❌ | Text | 16K | $0.10 | $0.25 | — | | Qwen38 27b | 262K | ❌ | Text | 16K | $0.24 | $2.20 | $0.05 | | Sao10kl3 Lunaris 8b | 8K | ❌ | Text | 16K | $0.04 | $0.05 | — | | Skyfall 36b V2 Fp8 | 33K | ❌ | Text | 16K | $0.55 | $0.80 | $0.25 | | Unslopnemo 12b | 1M | ❌ | Text | 16K | $0.40 | $0.40 | — |

Pricing fetched live from Parasail's pricing API. Prices are per million tokens and subject to change.

Usage

After loading the extension, use the /model command in pi to select your preferred model:

/model parasail parasail-deepseek-v4-pro

Or start pi directly with a Parasail model:

pi --provider parasail --model parasail-deepseek-v4-pro

Thinking Mode

Reasoning models (DeepSeek V4, Qwen3, GLM, Kimi) support both thinking and non-thinking modes. In pi, reasoning models automatically use the appropriate thinking format:

• DeepSeek V4 — openai thinking format (thinking: {type: "enabled"})
• Qwen3/Qwen3.5 — qwen thinking format
• GLM — zai thinking format

Authentication

The Parasail API key can be configured in multiple ways (resolved in this order):

1. auth.json (recommended) — Add to ~/.pi/agent/auth.json:

   { "parasail": { "type": "api_key", "key": "your-api-key" } }

   The key field supports literal values, env var names, and shell commands (prefix with !). See pi's auth file docs for details.
2. Runtime override — Use the --api-key CLI flag
3. Environment variable — Set PARASAIL_API_KEY

Get your API key at parasail.io.

Environment Variables

| Variable | Required | Description | |----------|----------|-------------| | PARASAIL_API_KEY | No | Your Parasail API key (fallback if not in auth.json) |

Configuration

Add to your pi configuration for automatic loading:

{
  "extensions": [
    "/path/to/pi-parasail-provider"
  ]
}

Compat Settings

Parasail's API uses OpenAI-compatible settings:

• thinkingFormat — Set per-model family: "openai" (DeepSeek V4), "qwen" (Qwen3), "zai" (GLM)
• maxTokensField: "max_completion_tokens" — All models use max_completion_tokens
• supportsDeveloperRole: false — All models use system role, not developer
• supportsStore: false — All models don't support the store parameter

Patch Overrides

The patch.json file contains overrides that are applied on top of models.json data at runtime. This is useful for:

• Correcting API-derived values (e.g., marking a model as reasoning-capable)
• Adding compat settings that the API doesn't provide
• Overriding pricing/context window when specs change

Updating Models

Run the update script to fetch the latest models from Parasail's API:

export PARASAIL_API_KEY=your-api-key
node scripts/update-models.js

This will:

1. Fetch models from https://api.parasail.io/v1/models
2. Preserve pricing, compat, and metadata from existing models.json
3. Apply overrides from patch.json at runtime
4. Update models.json and the README model table

A GitHub Actions workflow runs this daily and creates a PR if models have changed.

License

MIT