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vgi-rpc

\n\n

\n Transport-agnostic RPC framework built on Apache Arrow IPC serialization — the TypeScript port of vgi-rpc.
\n Built by 🚜 Query.Farm\n

\n\n

\n \"CI\"\n \"npm\"\n \"npm\n \"License\"\n

\n\nTypeScript server library for the [vgi-rpc](https://vgi-rpc.query.farm) framework. Implements RPC servers that communicate over stdin/stdout using [Apache Arrow](https://arrow.apache.org/) IPC serialization.\n\nDefine RPC methods with Arrow-typed schemas, serve them over stdin/stdout, and interact with them using the Python `vgi-rpc` CLI or any `vgi-rpc` client. Unlike JSON-over-HTTP, structured data stays in Arrow columnar format for efficient transfer.\n\n**Key features:**\n\n- **Three method types** — unary (request-response), producer (server-streaming), and exchange (bidirectional-streaming)\n- **Apache Arrow IPC wire format** — efficient columnar serialization compatible with the Python `vgi-rpc` framework\n- **Schema shorthand** — declare schemas with `{ name: str, count: int }` instead of manual `Schema`/`Field` construction\n- **Fluent protocol builder** — chain `.unary()`, `.producer()`, `.exchange()` calls to define your service\n- **Type-safe streaming state** — generic `` parameter threads state types through init and produce/exchange functions\n- **Runtime introspection** — `vgi_rpc.Reflection.v1`, a co-hosted protocol for dynamic service discovery via the CLI\n- **Result validation** — missing required fields in handler results throw descriptive errors at emit time\n- **Authentication** — bearer tokens, JWT, mTLS (PEM-in-header and XFCC), with chainable authenticators\n- **Six client transports** — HTTP, HTTP-over-Iroh (`httpiConnect`), raw Iroh (`irohConnect`), subprocess, raw pipe, and raw TCP, all sharing a unified `RpcClient` interface. Raw TCP carries no auth/TLS and defaults to loopback (`127.0.0.1`) — trusted networks only; use HTTP otherwise.\n\nSee [SPIFFE identity from trusted HTTP proxies](docs/spiffe-proxy-identity.md)\nfor Envoy, nginx, AWS ALB, Google Cloud Load Balancing, and Azure Application\nGateway deployment profiles.\n\n## Installation\n\n```bash\n# Bun\nbun add @query-farm/vgi-rpc\n\n# npm\nnpm install @query-farm/vgi-rpc\n\n# Deno\ndeno add npm:@query-farm/vgi-rpc\n```\n\n## Runtime Compatibility\n\n`vgi-rpc` works with [Bun](https://bun.sh/), [Node.js](https://nodejs.org/) 22+, and [Deno](https://deno.land/) 2+. The HTTP handler and HTTP client are fully runtime-agnostic. The subprocess transport (`subprocessConnect`) requires Bun.\n\n### Browser Usage\n\nThe HTTP client works in browsers. Use `httpConnect` to call a `vgi-rpc` server from any browser application:\n\n```typescript\nimport { httpConnect } from \"@query-farm/vgi-rpc\";\n\nconst client = httpConnect(\"https://api.example.com\");\nconst result = await client.call(\"add\", { a: 2, b: 3 });\n```\n\nYou will need a bundler (Vite, esbuild, webpack, etc.) that can resolve the `@query-farm/apache-arrow` dependency. Server-only exports (`VgiRpcServer`, `createHttpHandler`, `subprocessConnect`, `pipeConnect`) are not available in browsers.\n\n## Quick Start\n\n```typescript\nimport { Protocol, VgiRpcServer, str, float } from \"@query-farm/vgi-rpc\";\n\nconst protocol = new Protocol(\"Calculator\");\n\nprotocol.unary(\"add\", {\n params: { a: float, b: float },\n result: { result: float },\n handler: async ({ a, b }) => ({ result: a + b }),\n doc: \"Add two numbers.\",\n});\n\nprotocol.unary(\"greet\", {\n params: { name: str },\n result: { result: str },\n handler: async ({ name }) => ({ result: `Hello, ${name}!` }),\n doc: \"Greet someone by name.\",\n});\n\nconst server = new VgiRpcServer(protocol, { enableDescribe: true });\nserver.run();\n```\n\n## Client\n\nConnect to any vgi-rpc server programmatically:\n\n```typescript\nimport { httpConnect, subprocessConnect } from \"@query-farm/vgi-rpc\";\n\n// HTTP transport\nconst client = httpConnect(\"http://localhost:8080\");\nconst result = await client.call(\"add\", { a: 2, b: 3 });\nconsole.log(result); // { result: 5 }\nclient.close();\n\n// Subprocess transport (spawns server, communicates over pipes)\nconst client2 = subprocessConnect([\"bun\", \"run\", \"server.ts\"]);\nconst result2 = await client2.call(\"greet\", { name: \"World\" });\nconsole.log(result2); // { result: \"Hello, World!\" }\nclient2.close();\n```\n\nAll transports share the same `RpcClient` interface: `call()`, `stream()`, `describe()`, `close()`.\n\n### HTTP over Iroh (Node/Bun)\n\nInstall the optional native adapter and connect to the worker's canonical\n64-hex Iroh EndpointId:\n\n```bash\nbun add @momics/iroh-http-node\n```\n\n```typescript\nimport { httpiConnect } from \"@query-farm/vgi-rpc\";\n\nconst client = await httpiConnect(\n \"httpi://0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef/vgi\",\n {\n // Optional discovery hints when the endpoint is not discoverable by relay.\n directAddresses: [\"192.0.2.10:4433\"],\n requestTimeoutMs: 30_000,\n authorization: \"Bearer \",\n },\n);\nconst result = await client.call(\"add\", { a: 2, b: 3 });\nclient.close();\n```\n\n`httpiConnect` carries the ordinary VGI HTTP protocol over the `iroh-http/2`\nALPN. It therefore retains OPTIONS capability discovery, authorization,\ncompression, continuations, response budgets, and external-location handling.\nThe adapter accepts at most 256 MiB per HTTP response, matching its native\ntransport limit. The client owns and closes a node it creates. Pass `node` to\nshare an application-owned node; it remains open unless `closeNode: true` is\nset.\n\nThis native adapter is for Node/Bun, not browser bundles. Browser Iroh clients\nuse the separately packaged Rust/WASM connector.\n\n### Workers behind an Iroh bridge\n\nNode/Bun raw workers use the loopback-safe convenience wrapper:\n\n```typescript\nimport { serveIrohTcpUpstream } from \"@query-farm/vgi-rpc\";\n\nawait serveIrohTcpUpstream(protocol, {\n issuer: \"production\",\n port: 9400,\n});\n```\n\nFor HTTP workers, spread `irohHttpBridgeOptions(...)` into\n`createHttpHandler`. Its required `peerResolutionContext` adapter must supply\nthe immediate socket peer and the raw, multiplicity-preserving header list;\nthis keeps a plain Fetch `Request` from becoming a header-spoofing trust\nboundary. Both helpers default to authenticated EndpointIds and exact IPv4\nloopback trust; observation mode is an explicit `authenticate: false`.\n\n## Testing with the Python CLI\n\nTest it with the Python CLI:\n\n```bash\n# Describe the service\nvgi-rpc --cmd \"bun run server.ts\" describe\n\n# Call a method\nvgi-rpc --cmd \"bun run server.ts\" call add a=1.0 b=2.0\n# {\"result\": 3.0}\n\nvgi-rpc --cmd \"bun run server.ts\" call greet name=World\n# {\"result\": \"Hello, World!\"}\n```\n\n## Defining Methods\n\n### Unary\n\nSingle request, single response:\n\n```typescript\nprotocol.unary(\"add\", {\n params: { a: float, b: float },\n result: { result: float },\n handler: async ({ a, b }) => ({ result: a + b }),\n doc: \"Add two numbers.\",\n defaults: { b: 1.0 },\n});\n```\n\nThe handler receives parsed parameters and returns a record matching the result schema. The optional `defaults` field provides default values for omitted parameters.\n\n### Producer (Server Streaming)\n\nThe server produces multiple output batches. The generic `` parameter infers state types from the `init` return value:\n\n```typescript\nprotocol.producer<{ limit: number; current: number }>(\"count\", {\n params: { limit: int32, batch_size: int32 },\n outputSchema: { n: int32, n_squared: int32 },\n init: async ({ limit, batch_size }) => ({\n limit,\n current: 0,\n batchSize: batch_size,\n }),\n produce: async (state, out) => {\n if (state.current >= state.limit) {\n out.finish();\n return;\n }\n out.emitRow({ n: state.current, n_squared: state.current ** 2 });\n state.current++;\n },\n doc: \"Count from 0 to limit-1.\",\n defaults: { batch_size: 1 },\n});\n```\n\n`produce` is called repeatedly. Call `out.finish()` to end the stream. Mutate `state` in-place between calls.\n\n### Exchange (Bidirectional Streaming)\n\nClient sends batches, server responds one output batch per input batch:\n\n```typescript\nprotocol.exchange<{ factor: number }>(\"scale\", {\n params: { factor: float },\n inputSchema: { value: float },\n outputSchema: { value: float },\n init: async ({ factor }) => ({ factor }),\n exchange: async (state, input, out) => {\n const value = input.getChildAt(0)?.get(0) as number;\n out.emitRow({ value: value * state.factor });\n },\n doc: \"Scale input values by a factor.\",\n});\n```\n\n### Stream Headers\n\nProducer and exchange methods can send a one-time header before the data stream:\n\n```typescript\nprotocol.producer<{ count: number; current: number }>(\"produce_with_header\", {\n params: { count: int },\n outputSchema: { index: int, value: int },\n headerSchema: { total_expected: int, description: str },\n headerInit: (params) => ({\n total_expected: params.count,\n description: `producing ${params.count} batches`,\n }),\n init: ({ count }) => ({ count, current: 0 }),\n produce: (state, out) => {\n if (state.current >= state.count) {\n out.finish();\n return;\n }\n out.emitRow({ index: state.current, value: state.current * 10 });\n state.current++;\n },\n});\n```\n\n## Schema Shorthand\n\nDeclare schemas using convenient type singletons instead of manual `Schema`/`Field` construction:\n\n```typescript\nimport { str, bytes, int, int32, float, float32, bool } from \"@query-farm/vgi-rpc\";\n\n// Shorthand\nprotocol.unary(\"echo\", {\n params: { name: str, count: int, value: float },\n result: { result: str },\n handler: ({ name }) => ({ result: name }),\n});\n\n// Equivalent verbose form\nimport { Schema, Field, Utf8, Int64, Float64 } from \"@query-farm/apache-arrow\";\n\nprotocol.unary(\"echo\", {\n params: new Schema([\n new Field(\"name\", new Utf8(), false),\n new Field(\"count\", new Int64(), false),\n new Field(\"value\", new Float64(), false),\n ]),\n result: new Schema([new Field(\"result\", new Utf8(), false)]),\n handler: ({ name }) => ({ result: name }),\n});\n```\n\n### Type singletons\n\n| Singleton | Arrow Type | Python equivalent |\n|-----------|-----------|-------------------|\n| `str` | Utf8 | `str` |\n| `bytes` | Binary | `bytes` |\n| `int` | Int64 | `int` |\n| `int32` | Int32 | `Annotated[int, ArrowType(pa.int32())]` |\n| `float` | Float64 | `float` |\n| `float32` | Float32 | `Annotated[float, ArrowType(pa.float32())]` |\n| `bool` | Bool | `bool` |\n\nFor complex types (List, Map, Dictionary, nullable fields), use the full `Schema`/`Field` constructors from `@query-farm/apache-arrow`.\n\n## Emitting Output\n\nThe `OutputCollector` provides three ways to emit data:\n\n```typescript\n// Column arrays — most efficient for multi-row batches\nout.emit({ name: [\"alice\", \"bob\"], value: [1.0, 2.0] });\n\n// Single-row convenience\nout.emitRow({ name: \"alice\", value: 1.0 });\n\n// Pre-built RecordBatch\nout.emit(batch);\n```\n\nInt64 columns automatically coerce JavaScript Numbers to BigInt.\n\n## Client-Directed Logging\n\nHandler functions can emit log messages that travel over the wire to the client:\n\n```typescript\nprotocol.unary(\"process\", {\n params: { data: str },\n result: { result: str },\n handler: (params, ctx) => {\n ctx.clientLog(\"INFO\", `Processing: ${params.data}`);\n ctx.clientLog(\"DEBUG\", \"Transform complete\", { detail: \"extra info\" });\n return { result: params.data.toUpperCase() };\n },\n});\n```\n\nIn streaming methods, use `out.clientLog()`:\n\n```typescript\nproduce: (state, out) => {\n out.clientLog(\"INFO\", `Producing batch ${state.current}`);\n out.emitRow({ value: state.current });\n state.current++;\n},\n```\n\n## Error Handling\n\nExceptions thrown in handlers are propagated to the client as `RpcError`:\n\n```typescript\nhandler: async ({ a, b }) => {\n if (b === 0) throw new Error(\"Division by zero\");\n return { result: a / b };\n},\n```\n\nErrors are transmitted as zero-row Arrow batches with `EXCEPTION`-level metadata. The transport remains clean for subsequent requests.\n\n## Authentication\n\nThe HTTP handler supports pluggable authentication. Built-in factories cover common strategies:\n\n```typescript\nimport {\n createHttpHandler,\n chainAuthenticate,\n mtlsAuthenticateSubject,\n bearerAuthenticateStatic,\n jwtAuthenticate,\n AuthContext,\n} from \"@query-farm/vgi-rpc\";\n\n// mTLS via proxy-forwarded client certificate\nconst mtlsAuth = mtlsAuthenticateSubject({\n allowedSubjects: new Set([\"my-service\"]),\n});\n\n// Static API key map\nconst apiKeyAuth = bearerAuthenticateStatic({\n tokens: { \"sk-abc123\": new AuthContext(\"apikey\", true, \"ci-bot\") },\n});\n\n// Chain: try mTLS first, fall back to API key\nconst auth = chainAuthenticate(mtlsAuth, apiKeyAuth);\n\nconst handler = createHttpHandler(protocol, {\n signingKey: myKey,\n authenticate: auth,\n});\n```\n\nAvailable factories:\n\n| Factory | Description |\n|---------|-------------|\n| `bearerAuthenticate` | Custom bearer token validation |\n| `bearerAuthenticateStatic` | Static token map with constant-time comparison |\n| `jwtAuthenticate` | JWT validation via OIDC discovery |\n| `mtlsAuthenticate` | Custom X.509 certificate validation |\n| `mtlsAuthenticateFingerprint` | Certificate fingerprint lookup |\n| `mtlsAuthenticateSubject` | Subject CN extraction with optional allowlist |\n| `mtlsAuthenticateXfcc` | Envoy `x-forwarded-client-cert` header |\n| `chainAuthenticate` | Try multiple strategies in order |\n\n## Testing with the Python CLI\n\nThe [vgi-rpc CLI](https://github.com/Query-farm/vgi-rpc-python) can introspect and call methods on any TypeScript server:\n\n```bash\npip install vgi-rpc[cli]\n\n# Describe the service\nvgi-rpc --cmd \"bun run examples/calculator.ts\" describe\n\n# Unary call\nvgi-rpc --cmd \"bun run examples/calculator.ts\" call add a=2.0 b=3.0\n\n# Producer stream\nvgi-rpc --cmd \"bun run examples/streaming.ts\" call count limit=5 --format table\n\n# Exchange stream\nvgi-rpc --cmd \"bun run examples/streaming.ts\" call scale factor=2.0\n```\n\n## Wire Protocol Compatibility\n\nThis library implements the same wire protocol as the Python [`vgi-rpc`](https://github.com/Query-farm/vgi-rpc-python) framework:\n\n- Multiple sequential Arrow IPC streams on stdin/stdout\n- Request batches carry method name and version in batch metadata\n- Lockstep streaming: one output batch per input batch\n- Zero-row batches for log messages and errors\n- `vgi_rpc.Reflection.v1` for cross-language service discovery (`list_protocols`, then `describe`)\n\nSee the [Wire Protocol Specification](https://vgi-rpc.query.farm/wire-protocol) for the full protocol details.\n\n## Examples\n\n| Example | Description |\n|---------|-------------|\n| [`calculator.ts`](examples/calculator.ts) | Unary methods: add, multiply, divide |\n| [`greeter.ts`](examples/greeter.ts) | String parameters and results |\n| [`streaming.ts`](examples/streaming.ts) | Producer and exchange stream patterns |\n| [`conformance.ts`](examples/conformance.ts) | 88-method reference service for wire-protocol conformance testing |\n\n## Development\n\n```bash\n# Install dependencies\nbun install\n\n# Run tests\nbun test\n\n# Build (types + bundle)\nbun run build\n```\n\n## License\n\nCopyright 2026 Query.Farm LLC [https://query.farm](https://query.farm). All rights reserved. See [LICENSE.md](LICENSE.md).\n","readmeFilename":"README.md"}