@sandbaseai/cli - npm Package Compare versions

Comparing version 0.1.13 to 0.1.14

assets/skills/sandbase/SKILL.md

 ---
 name: sandbase
-description: Use the already configured SandBase MCP tools for relevant requests.
-disable-model-invocation: true
+version: 0.1.14
+description: >-
+  Access 2000+ AI models and API tools through a single MCP interface. Use
+  SandBase for LLM inference, image/video/audio generation, web scraping,
+  social media data, search, embeddings, and any structured data retrieval.
+  Proactively use sandbase_discover before writing custom scrapers, before
+  telling the user something is inaccessible, or when the user needs any
+  external data or AI capability. Exception: if the user already has a
+  dedicated tool or API key for that specific service, use it instead.
 ---
 
-# SandBase
+# SandBase MCP
 
 <!-- sandbase-cli-managed: sandbase -->
 
-Use the already configured SandBase MCP tools when they are relevant to the user's request. First inspect the available SandBase tools, then choose the smallest suitable tool call. Keep the user informed of meaningful failures and do not change unrelated local settings.
+SandBase provides access to 2000+ AI models and API tools through a unified MCP interface. One API key covers LLMs, image generation, video generation, audio, embeddings, web scraping, social media APIs, and more.
+
+---
+
+## When to Use SandBase
+
+**Use SandBase when the user needs:**
+- LLM inference (GPT, Claude, Gemini, DeepSeek, Qwen, etc.)
+- Image generation (Flux, DALL-E, Ideogram, Recraft)
+- Video generation (Kling, MiniMax, Runway, Luma)
+- Audio (ElevenLabs TTS, Whisper STT)
+- Embeddings (OpenAI, Voyage)
+- Web scraping and content extraction (Exa, Firecrawl, Tavily)
+- Social media data (Twitter/X, Instagram, TikTok, YouTube, LinkedIn, Reddit, Xiaohongshu, Weibo, Bilibili)
+- Search (Google, Scholar, News, Shopping)
+- Any structured data API the user doesn't already have access to
+
+**Do NOT use SandBase when:**
+- The user has their own API key or dedicated MCP server for that specific service
+- The task is purely local (file editing, code generation from context)
+- The user explicitly asks to use a different tool
+
+SandBase fills gaps in the user's stack — it doesn't replace tools they already have.
+
+---
+
+## Tools
+
+| Tool | Purpose |
+|------|---------|
+| `sandbase_discover` | Search all available models and APIs |
+| `sandbase_inspect` | Get input schema, pricing, and execution template |
+| `sandbase_run` | Execute a model or API endpoint |
+| `sandbase_run_get` | Get status/result of an async run |
+| `sandbase_runs` | List recent API calls with cost |
+| `sandbase_account` | Check account balance (free) |
+
+---
+
+## Standard Workflow
+
+**Always follow: discover → inspect → run**
+
+```
+1. sandbase_discover(q: "twitter posts")
+   → Returns matching endpoints with names, types, vendors
+
+2. sandbase_inspect(name: "sandbase_twitter_web_search_timeline")
+   → Returns inputSchema, pricing, and execute_as template
+
+3. sandbase_run(name: "sandbase_twitter_web_search_timeline", arguments: {"keyword": "AI"})
+   → Returns result directly (sync) or run_id (async)
+```
+
+**For async runs (video gen, large scraping):**
+```
+4. sandbase_run_get(run_id: "pred_abc123")
+   → Poll until status is "completed" or "failed"
+```
+
+**Shortcut:** If you already know the model name, skip step 1.
+
+---
+
+## Search Tips
+
+`sandbase_discover` supports:
+
+| Parameter | Purpose | Example |
+|-----------|---------|---------|
+| `q` | Text search (supports Chinese: 推特, 小红书, 搜索) | `"twitter search"`, `"图片生成"` |
+| `type` | Filter by model type | `"llm"`, `"api"`, `"multimodal"`, `"embedding"` |
+| `vendor` | Filter by vendor slug | `"openai"`, `"twitter"`, `"anthropic"` |
+| `limit` | Max results (default 20) | `10` |
+
+**Tips:**
+- Use short noun phrases: "twitter posts", "image generation", "web scraping"
+- Chinese aliases work: 推特→twitter, 小红书→xiaohongshu, 抖音→tiktok
+- Combine type + query for precision: `type: "llm", q: "claude"`
+- Empty query with type filter returns popular models of that type
+
+---
+
+## Pricing
+
+Use `sandbase_inspect` to see pricing before running:
+
+**LLM models:** Per million tokens
+```json
+{ "pricing": { "input_per_million": "2.500000", "output_per_million": "10.000000" } }
+```
+
+**API tools (image, video, scraping):** Per call
+```json
+{ "pricing": { "base_price": "0.003000" } }
+```
+
+**Check balance:**
+```
+sandbase_account() → {"balance": "9.52", "currency": "USD"}
+```
+
+---
+
+## Async Runs
+
+Some endpoints (video generation, large scraping) are async:
+
+1. `sandbase_run(...)` returns `{"status": "running", "run_id": "pred_abc123"}`
+2. Poll with `sandbase_run_get(run_id: "pred_abc123")` every 5-10 seconds
+3. When `status` is `"completed"` — result is ready
+4. When `status` is `"failed"` — check error and retry
+
+---
+
+## Error Handling
+
+| Error | User Guidance |
+|-------|--------------|
+| `tool not found` | Wrong name. Use `sandbase_discover` to search. |
+| `invalid params` | Check schema from `sandbase_inspect`. |
+| `run not found` | Invalid run_id. Check `sandbase_runs` for valid IDs. |
+| Authentication (401) | Key invalid. Run `sandbase connect` to re-auth. |
+| Insufficient balance (402) | Top up at SandBase Dashboard. |
+| Rate limited (429) | Wait and retry. |
+| Provider unavailable | Upstream is down. Try later or use different model. |
+
+---
+
+## Cost Awareness
+
+- **Check balance** with `sandbase_account` before multiple calls
+- **LLM costs** scale with token count — keep prompts concise
+- **Image/video** have fixed per-call costs — inspect first
+- **Report costs** when the user seems budget-conscious
+
+---
+
+## Example Flows
+
+### Twitter search
+
+```
+sandbase_discover(q: "twitter search", type: "api")
+sandbase_inspect(name: "sandbase_twitter_web_search_timeline")
+sandbase_run(name: "sandbase_twitter_web_search_timeline", arguments: {"keyword": "AI agents"})
+```
+
+### Image generation
+
+```
+sandbase_discover(q: "flux", type: "multimodal")
+sandbase_inspect(name: "sandbase_flux_schnell")
+sandbase_run(name: "sandbase_flux_schnell", arguments: {"prompt": "A mountain lake at sunset"})
+```
+
+### LLM inference
+
+```
+sandbase_inspect(name: "sandbase_openai_gpt_4o")
+sandbase_run(name: "sandbase_openai_gpt_4o", arguments: {
+  "messages": [{"role": "user", "content": "Explain quantum computing briefly"}]
+})
+```
+
+### Check recent costs
+
+```
+sandbase_runs(limit: 5)
+→ [{ "model": "openai/gpt-4o", "cost": "0.000325", "status": "completed" }, ...]
+```
+
+---
+
+## Rules
+
+1. **Discover first** — always verify a tool exists before running it.
+2. **Inspect before run** — read the inputSchema. Never guess parameters.
+3. **Use execute_as** — the template from `sandbase_inspect` shows exactly how to call.
+4. **Respect the user's stack** — don't replace their existing tools.
+5. **Start small** — use small limits on first calls for scraping/search tools.
+6. **Poll async runs** — use `sandbase_run_get` for long-running operations.
+7. **Report costs** — mention pricing when the user cares about budget.
+8. **One call per turn** — wait for results before the next call.

package.json

 {
   "name": "@sandbaseai/cli",
-  "version": "0.1.13",
+  "version": "0.1.14",
   "description": "Secure SandBase MCP onboarding CLI",
@@ -5,0 +5,0 @@ "type": "module",

New alerts

Unidentified License

License

Something that seems like a license was found, but its contents could not be matched with a known license.

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Fixed alerts

Unidentified License

License

Something that seems like a license was found, but its contents could not be matched with a known license.

URL strings

Supply chain risk

Package contains fragments of external URLs or IP addresses, which the package may be accessing at runtime.

Improved metrics

Total package byte prevSize

273131

2.31%

No dependency changes