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together-security-basics

Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together security basics".

by jeremylongshore(0) 0 installs
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About

Imported from jeremylongshore/tons-of-skills-marketplace (plugins/saas-packs/together-pack/skills/together-security-basics/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill together-security-basics. Copyright stays with the author (MIT).

Together AI Security Basics

Overview

Together AI provides inference and fine-tuning for 100+ open-source models (Llama, Mixtral, Qwen, FLUX) via an OpenAI-compatible API. Security concerns include API key management for production inference, protecting fine-tuning datasets that may contain proprietary or sensitive data, rate limit handling to prevent cost overruns, and ensuring model outputs are not logged with sensitive prompt content. A leaked API key grants full access to inference, fine-tuning, and model management endpoints.

API Key Management

function createTogetherClient(): { apiKey: string; baseUrl: string } {
  const apiKey = process.env.TOGETHER_API_KEY;
  if (!apiKey) {
    throw new Error("Missing TOGETHER_API_KEY — store in secrets manager, never in code");
  }
  // Together keys access inference + fine-tuning — treat as production credentials
  console.log("Together AI client initialized (key suffix:", apiKey.slice(-4), ")");
  return { apiKey, baseUrl: "https://api.together.xyz/v1" };
}

Webhook Signature Verification

import crypto from "crypto";
import { Request, Response, NextFunction } from "express";

function verifyTogetherWebhook(req: Request, res: Response, next: NextFunction): void {
  const signature = req.headers["x-together-signature"] as string;
  const secret = process.env.TOGETHER_WEBHOOK_SECRET!;
  const expected = crypto.createHmac("sha256", secret).update(req.body).digest("hex");
  if (!signature || !crypto.timingSafeEqual(Buffer.from(signature), Buffer.from(expected))) {
    res.status(401).send("Invalid signature");
    return;
  }
  next();
}

Input Validation

import { z } from "zod";

const InferenceRequestSchema = z.object({
  model: z.string().min(1).max(200),
  messages: z.array(z.object({
    role: z.enum(["system", "user", "assistant"]),
    content: z.string().max(100_000),
  })).min(1),
  max_tokens: z.number().int().min(1).max(4096).default(512),
  temperature: z.number().min(0).max(2).default(0.7),
  stop: z.array(z.string()).max(4).optional(),
});

function validateInferenceRequest(data: unknown) {
  return InferenceRequestSchema.parse(data);
}

Data Protection

const TOGETHER_SENSITIVE_FIELDS = ["api_key", "prompt_content", "fine_tune_dataset", "model_output", "system_prompt"];

function redactTogetherLog(record: Record<string, unknown>): Record<string, unknown> {
  const redacted = { ...record };
  for (const field of TOGETHER_SENSITIVE_FIELDS) {
    if (field in redacted) redacted[field] = "[REDACTED]";
  }
  return redacted;
}

Security Checklist

  • API key stored in secrets manager, never in source code
  • Separate keys for dev/staging/prod environments
  • Fine-tuning datasets reviewed for sensitive content before upload
  • Prompt content and model outputs never logged in plaintext
  • Rate limit handling with exponential backoff to prevent cost overruns
  • API key rotation scheduled quarterly
  • Pre-commit hook blocks TOGETHER_API_KEY patterns
  • Model access scoped to required models only

Error Handling

Vulnerability Risk Mitigation
Leaked API key Unauthorized inference and fine-tuning access Secrets manager + rotation
Sensitive data in fine-tuning datasets Proprietary data embedded in model weights Dataset review + sanitization before upload
Prompt content in logs Confidential queries exposed Field-level redaction pipeline
Missing rate limit handling Unexpected cost overruns from runaway requests Exponential backoff + spending alerts
Unrestricted model access Cost from premium model usage API key scoped to approved models

Resources

Next Steps

See together-prod-checklist.

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-together-secu-13f09b/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-together-secu-13f09b.ocm.jsonjson
{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-together-secu-13f09b",
  "kind": "skill",
  "name": "together-security-basics",
  "description": "Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: \"together security basics\".",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "saas",
      "ai",
      "inference",
      "together",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Together AI security basics for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: \"together security basics\"."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "plugins/saas-packs/together-pack/skills/together-security-basics/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/plugins/saas-packs/together-pack/skills/together-security-basics/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/plugins/saas-packs/together-pack/skills/together-security-basics/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Bash(pip:*),",
      "Grep"
    ],
    "license": "MIT"
  },
  "instructions": "# Together AI Security Basics\n\n## Overview\n\nTogether AI provides inference and fine-tuning for 100+ open-source models (Llama, Mixtral, Qwen, FLUX) via an OpenAI-compatible API. Security concerns include API key management for production inference, protecting fine-tuning datasets that may contain proprietary or sensitive data, rate limit handling to prevent cost overruns, and ensuring model outputs are not logged with sensitive prompt content. A leaked API key grants full access to inference, fine-tuning, and model management endpoints.\n\n## API Key Management\n\n```typescript\nfunction createToge",
  "cost": {
    "context_tokens": 978
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-together-secu-13f09b/manifest?version=1.0.0

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