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gauss-ts

v2.0.22

Published

Production-grade AI agent SDK for TypeScript — thin wrapper over Rust core via NAPI. Agents, RAG, graphs, workflows, multi-agent networks, middleware, streaming, structured output, and more.

Readme

🔮 gauss-ts

Rust-powered AI Agent SDK for TypeScript

CI npm License: MIT

Rust-powered • Multi-provider • Enterprise-grade • Plug-and-play DX

Gauss gives you a beautiful TypeScript API over a high-performance Rust core. Build single agents, hierarchical teams, DAG pipelines, MCP/A2A systems, and enterprise guardrailed workflows in a few lines.


Install

npm install gauss-ts

Set one provider key (auto-detection is built in):

export OPENAI_API_KEY=sk-...
# or ANTHROPIC_API_KEY / GOOGLE_API_KEY / OPENROUTER_API_KEY / ...

Quick Start

One-liner

import { gauss } from "gauss-ts";

const text = await gauss("Explain retrieval-augmented generation in 3 bullets.");
console.log(text);

Full control

import { Agent, OPENAI_DEFAULT } from "gauss-ts";

const agent = new Agent({
  name: "assistant",
  model: OPENAI_DEFAULT, // "gpt-5.2"
  instructions: "You are a concise senior engineer.",
  temperature: 0.2,
});

const result = await agent.run("Design a clean API for a weather service.");
console.log(result.text);
agent.destroy();

Multi-Agent in a Few Lines

1) Team.quick() (hierarchical team bootstrap)

import { Team } from "gauss-ts";

const team = Team.quick("architecture-team", "parallel", [
  { name: "planner", instructions: "Break work into milestones." },
  { name: "implementer", instructions: "Produce production-ready code." },
  { name: "reviewer", instructions: "Find defects and risks." },
]);

const out = await team.run("Implement a resilient webhook ingestion service.");
console.log(out.finalText);
team.destroy();

2) Graph.pipeline() (2-line DAG)

import { Agent, Graph } from "gauss-ts";

const graph = Graph.pipeline([
  { nodeId: "analyze", agent: new Agent({ instructions: "Analyze requirements" }) },
  { nodeId: "build", agent: new Agent({ instructions: "Implement solution" }) },
  { nodeId: "verify", agent: new Agent({ instructions: "Validate outputs" }) },
]);

const out = await graph.run("Build a typed SDK wrapper around a REST API.");
console.log(out.finalText);
graph.destroy();

3) Network.quick() (swarm delegation bootstrap)

import { Network } from "gauss-ts";

const network = Network.quick("supervisor", [
  { name: "supervisor", instructions: "Delegate to best specialist." },
  { name: "math-expert", instructions: "Solve math tasks precisely." },
  { name: "writer", instructions: "Write concise user-facing output." },
]);

const delegated = await network.delegate("math-expert", "What is 13 * 7?");
console.log(delegated);
network.destroy();

// Built-in starter templates
const incident = Network.fromTemplate("incident-response");
const support = Network.fromTemplate("support-triage");
const risk = Network.fromTemplate("fintech-risk-review");
const ragOps = Network.fromTemplate("rag-ops");
incident.destroy();
support.destroy();
risk.destroy();
ragOps.destroy();

Agent DX

Inline tools with withTool()

import { Agent } from "gauss-ts";

const agent = new Agent({ instructions: "Use tools when useful." })
  .withTool(
    "sum",
    "Sum two numbers",
    ({ a, b }: { a: number; b: number }) => ({ result: a + b }),
    {
      type: "object",
      properties: { a: { type: "number" }, b: { type: "number" } },
      required: ["a", "b"],
    }
  );

const out = await agent.run("What is 12 + 30?");
console.log(out.text);
agent.destroy();

Streaming helpers

// Low-level async iterable events
const stream = agent.streamIter("Write a short release note");
for await (const event of stream) {
  if (event.type === "text_delta") process.stdout.write(event.text ?? "");
}

// High-level DX helper: returns final text + optional delta callback
const finalText = await agent.streamText("Write a changelog", (delta) => {
  process.stdout.write(delta);
});

Config helpers

// Explicit env-intent constructor
const a = Agent.fromEnv({ instructions: "Be precise." });

// Clone with a different model
const b = a.withModel("gpt-4.1");

// Optional routing policy: alias + provider/model target
const c = new Agent({
  model: "fast-chat",
  routingPolicy: {
    aliases: {
      "fast-chat": [{ provider: "anthropic", model: "claude-3-5-haiku-latest", priority: 10 }],
    },
    fallbackOrder: ["anthropic", "openai"],
    maxTotalCostUsd: 2.0,
    maxRequestsPerMinute: 60,
    governance: {
      rules: [
        { type: "allow_provider", provider: "openai" },
        { type: "require_tag", tag: "pci" },
      ],
    },
  },
});

// Runtime policy-router decision (availability + budget + rate + governance tags)
const routed = c.withRoutingContext({
  availableProviders: ["openai"],
  estimatedCostUsd: 1.2,
  currentRequestsPerMinute: 20,
  currentHourUtc: 11,
  governanceTags: ["pci"],
});

// Apply built-in enterprise governance packs
import {
  applyGovernancePack,
  evaluatePolicyDiff,
  evaluatePolicyRolloutGuardrails,
  explainRoutingTarget,
} from "gauss-ts";
const hardenedPolicy = applyGovernancePack(
  { fallbackOrder: ["anthropic", "openai"] },
  "balanced-mix",
);
const rolloutPolicy = applyGovernancePack(hardenedPolicy, "rollout-canary");

const explanation = explainRoutingTarget(
  rolloutPolicy,
  "openai",
  "gpt-5.2",
  { currentHourUtc: 11, governanceTags: ["balanced", "rollout"] },
);
console.log(explanation.decision?.selectedBy); // "direct" | "alias:..." | "fallback:..."

// Rollout diff + guardrails (regression-aware)
// const diff = evaluatePolicyDiff(rolloutPolicy, scenarios);
// const rolloutGate = evaluatePolicyRolloutGuardrails(diff, { maxRegressions: 0, minCandidatePassRate: 0.95 });

// CI-friendly policy gate summary (fails with exit code 1 when scenarios fail)
// npm run policy:gate -- ./scenarios.json ./policy.json
// Optional rollout guardrails (diff + thresholds):
// npm run policy:gate -- ./scenarios.json ./candidate-policy.json ./baseline-policy.json ./guardrails.json
// Policy lifecycle APIs:
// GET /api/ops/policy/lifecycle/draft?policy=<json>&role=author&actor=<id>&comment=<text>
// GET /api/ops/policy/lifecycle/validate?version=policy-v1&scenarios=<json>&role=author|reviewer
// GET /api/ops/policy/lifecycle/approve?version=policy-v1&role=reviewer|operator|admin
// GET /api/ops/policy/lifecycle/promote?version=policy-v1&role=promoter|operator|admin
// GET /api/ops/policy/lifecycle/versions
// Policy drift monitoring:
// cp.registerPolicyDriftSink("webhook://ops-audit");
// GET /api/ops/policy/drift?scenarios=<json>&candidatePolicy=<json>&window=last_24h&maxRegressions=0
// GET /api/ops/policy/drift/schedule/set?scenarios=<json>&candidatePolicy=<json>&window=last_1h&intervalMs=60000
// GET /api/ops/policy/drift/schedule
// GET /api/ops/policy/drift/schedule/run

Unified Control Plane (M51 foundation)

import { ControlPlane, Telemetry, ApprovalManager } from "gauss-ts";

const cp = new ControlPlane({
  telemetry: new Telemetry(),
  approvals: new ApprovalManager(),
  model: "gpt-5.2",
});

cp.setCostUsage({ inputTokens: 1200, outputTokens: 600 });
const { url } = await cp.startServer("127.0.0.1", 0);
console.log(`Control Plane: ${url}`);
// SSE stream:
// single event quick-check -> GET ${url}/api/stream?channel=timeline&once=1
// multiplex channels -> GET ${url}/api/stream?channels=snapshot,timeline&once=1
// reconnect/replay cursor -> GET ${url}/api/stream?channel=snapshot&lastEventId=42
// hosted ops capabilities -> GET ${url}/api/ops/capabilities
// hosted ops health -> GET ${url}/api/ops/health
// hosted ops summary -> GET ${url}/api/ops/summary
// hosted ops tenant breakdown -> GET ${url}/api/ops/tenants
// hosted policy explain -> GET ${url}/api/ops/policy/explain?provider=openai&model=gpt-5.2
// hosted policy explain batch -> GET ${url}/api/ops/policy/explain/batch?scenarios=[...]
// hosted policy simulation -> GET ${url}/api/ops/policy/explain/simulate?scenarios=[...]
// hosted policy diff -> GET ${url}/api/ops/policy/explain/diff?scenarios=[...]
// hosted policy explain traces -> GET ${url}/api/ops/policy/explain/traces
// hosted ops dashboard -> GET ${url}/ops
// hosted tenant dashboard -> GET ${url}/ops/tenants

Core Features

  • Agents: Agent, gauss()
  • Teams: Team, Team.quick()
  • Graphs: Graph, Graph.pipeline(), addConditionalEdge()
  • Workflows / Networks: Workflow, Network, Network.quick(), Network.fromTemplate()
  • Typed tools: tool(), createToolExecutor(), withTool()
  • MCP: McpServer, McpClient
  • A2A: A2aClient
  • Memory + RAG: Memory, VectorStore, TextSplitter, loadText/loadMarkdown/loadJson
  • Guardrails + Middleware: GuardrailChain, MiddlewareChain
  • Reliability: retry, circuit breaker, fallback providers
  • Observability & quality: Telemetry, EvalRunner
  • Control plane: ControlPlane (local snapshot API + dashboard)
  • Routing policy: routingPolicy, resolveRoutingTarget(), applyGovernancePack()
  • Enterprise preset: enterprisePreset(), enterpriseRun()

Errors (typed hierarchy)

import {
  GaussError,
  DisposedError,
  ProviderError,
  ToolExecutionError,
  ValidationError,
} from "gauss-ts";

try {
  await agent.run("hello");
} catch (err) {
  if (err instanceof DisposedError) {
    // resource already destroyed
  }
}

Model Constants

import {
  OPENAI_DEFAULT, OPENAI_FAST, OPENAI_REASONING,
  ANTHROPIC_DEFAULT, ANTHROPIC_FAST, ANTHROPIC_PREMIUM,
  GOOGLE_DEFAULT, GOOGLE_PREMIUM,
  DEEPSEEK_DEFAULT, DEEPSEEK_REASONING,
  PROVIDER_DEFAULTS, defaultModel,
} from "gauss-ts";

Providers

| Provider | Env Variable | Example Default | |---|---|---| | OpenAI | OPENAI_API_KEY | gpt-5.2 | | Anthropic | ANTHROPIC_API_KEY | claude-sonnet-4-20250514 | | Google | GOOGLE_API_KEY | gemini-2.5-flash | | DeepSeek | DEEPSEEK_API_KEY | deepseek-chat | | Groq | GROQ_API_KEY | provider-dependent | | Ollama | local runtime | llama3.2 | | OpenRouter | OPENROUTER_API_KEY | openai/gpt-5.2 | | Together | TOGETHER_API_KEY | provider-dependent | | Fireworks | FIREWORKS_API_KEY | provider-dependent | | Mistral | MISTRAL_API_KEY | provider-dependent | | Perplexity | PERPLEXITY_API_KEY | provider-dependent | | xAI | XAI_API_KEY | provider-dependent |


Architecture

gauss-ts (TypeScript SDK)
        │
        ▼
gauss-napi (NAPI bindings)
        │
        ▼
gauss-core (Rust engine)

All heavy orchestration and runtime logic is executed in Rust.


Ecosystem

| Package | Language | Repo | |---|---|---| | gauss-core | Rust | https://github.com/giulio-leone/gauss-core | | gauss-ts | TypeScript | https://github.com/giulio-leone/gauss | | gauss-py | Python | https://github.com/giulio-leone/gauss-py |

License

MIT © Giulio Leone