diff --git a/bun.lock b/bun.lock index 5cd1d65c3..6fc7a0622 100644 --- a/bun.lock +++ b/bun.lock @@ -919,6 +919,18 @@ "typescript": "catalog:", }, }, + "packages/mocks": { + "name": "@corbits/mocks", + "version": "0.0.1", + "dependencies": { + "arktype": "catalog:", + }, + "devDependencies": { + "@types/bun": "catalog:", + "@workbench/hub-client": "workspace:*", + "typescript": "catalog:", + }, + }, "packages/notify": { "name": "@corbits/notify", "version": "0.0.1", @@ -2005,6 +2017,8 @@ "@corbits/memory-tools": ["@corbits/memory-tools@workspace:packages/memory-tools"], + "@corbits/mocks": ["@corbits/mocks@workspace:packages/mocks"], + "@corbits/morning-brief-workflow": ["@corbits/morning-brief-workflow@workspace:workflows/morning-brief"], "@corbits/notify": ["@corbits/notify@workspace:packages/notify"], @@ -3343,9 +3357,7 @@ "@babel/helper-compilation-targets/semver": ["semver@6.3.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA=="], - "@corbits/artifact-ui/@corbits/react-ui": ["@corbits/react-ui@github:corbitsdev/react-ui#3b12281", { "dependencies": { "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "tailwind-merge": "^3.3.1" }, "peerDependencies": { "@radix-ui/react-dialog": "^1.1.15", "@radix-ui/react-dropdown-menu": "^2.1.16", "@radix-ui/react-slot": "^1.2.3", "@radix-ui/react-tooltip": "^1.2.8", "@tanstack/react-query": "^5.90.2", "lucide-react": "^0.545.0 || ^1.0.0", "react": "^18.2.0 || ^19.0.0", "react-dom": "^18.2.0 || ^19.0.0", "sonner": "^2.0.7" }, "optionalPeers": ["@tanstack/react-query"] }, "corbitsdev-react-ui-3b12281", "sha512-Abvm/DO0Gqg0ITHGT9355ZxyKRPMVJLSSQSjpd3a8qt4JPrSMOLIOS4sX8ZMNNaArIbnY9F+VKrOWkUJUyO4Nw=="], - - "@corbits/artifacts-hub/@corbits/artifacts": ["@corbits/artifacts@github:corbitsdev/corbits-artifacts#81049ed", { "dependencies": { "@hono/standard-validator": "^0.2.3" }, "peerDependencies": { "@intx/types": "^0.2.2", "arktype": "^2.1.29", "drizzle-orm": "^0.45.2", "hono": "^4.12.32", "hono-openapi": "^1.2.0", "postgres": "^3.4.9" } }, "corbitsdev-corbits-artifacts-81049ed", "sha512-oTE0iFDyQdz0ifG1epo39pwaCaYaw19YcKXwfaZqAEQ56a1g9YIozXwH9CG4NaUTwcJKUeYGuNls6oJsMPisCw=="], + "@corbits/memory-hub/@corbits/memory": ["@corbits/memory@github:corbitsdev/corbits-memory#9e6f213", { "dependencies": { "@intx/agent": "0.2.2", "@intx/authz": "0.2.2", "@intx/hub-api": "0.2.2", "@intx/log": "0.2.2", "@intx/workflow": "0.2.2", "arktype": "^2.1.29", "drizzle-orm": "^0.45.1", "hono": "^4.9.0", "hono-openapi": "^1.3.1", "postgres": "^3.4.7" } }, "corbitsdev-corbits-memory-9e6f213", "sha512-utnM4ZT2zmslcPXYWAAqxlDNLcpGsXFiTOtj8h7+OXnhCP0Eaw8yl25+yCTyHpvt3jcdeG4h5uFsSj7ou0BZCA=="], "@esbuild-kit/core-utils/esbuild": ["esbuild@0.18.20", "", { "optionalDependencies": { "@esbuild/android-arm": "0.18.20", "@esbuild/android-arm64": "0.18.20", "@esbuild/android-x64": "0.18.20", "@esbuild/darwin-arm64": "0.18.20", "@esbuild/darwin-x64": "0.18.20", "@esbuild/freebsd-arm64": "0.18.20", "@esbuild/freebsd-x64": "0.18.20", "@esbuild/linux-arm": "0.18.20", "@esbuild/linux-arm64": "0.18.20", "@esbuild/linux-ia32": "0.18.20", "@esbuild/linux-loong64": "0.18.20", "@esbuild/linux-mips64el": "0.18.20", "@esbuild/linux-ppc64": "0.18.20", "@esbuild/linux-riscv64": "0.18.20", "@esbuild/linux-s390x": "0.18.20", "@esbuild/linux-x64": "0.18.20", "@esbuild/netbsd-x64": "0.18.20", "@esbuild/openbsd-x64": "0.18.20", "@esbuild/sunos-x64": "0.18.20", "@esbuild/win32-arm64": "0.18.20", "@esbuild/win32-ia32": "0.18.20", "@esbuild/win32-x64": "0.18.20" }, "bin": { "esbuild": "bin/esbuild" } }, "sha512-ceqxoedUrcayh7Y7ZX6NdbbDzGROiyVBgC4PriJThBKSVPWnnFHZAkfI1lJT8QFkOwH4qOS2SJkS4wvpGl8BpA=="], @@ -3369,6 +3381,8 @@ "@typescript-eslint/eslint-plugin/ignore": ["ignore@7.0.6", "", {}, "sha512-BAg6QkE8W+TuQLrrw0Ugr7HegXduRuuj8/ti2kSOc+jz1dmx8/WNcjr6XGnq5YpDWxFwwaavqD0+jIUOKelTsw=="], + "@workbench/hub/@corbits/memory": ["@corbits/memory@github:corbitsdev/corbits-memory#9e6f213", { "dependencies": { "@intx/agent": "0.2.2", "@intx/authz": "0.2.2", "@intx/hub-api": "0.2.2", "@intx/log": "0.2.2", "@intx/workflow": "0.2.2", "arktype": "^2.1.29", "drizzle-orm": "^0.45.1", "hono": "^4.9.0", "hono-openapi": "^1.3.1", "postgres": "^3.4.7" } }, "corbitsdev-corbits-memory-9e6f213", "sha512-utnM4ZT2zmslcPXYWAAqxlDNLcpGsXFiTOtj8h7+OXnhCP0Eaw8yl25+yCTyHpvt3jcdeG4h5uFsSj7ou0BZCA=="], + "ajv-formats/ajv": ["ajv@8.20.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-Thbli+OlOj+iMPYFBVBfJ3OmCAnaSyNn4M1vz9T6Gka5Jt9ba/HIR56joy65tY6kx/FCF5VXNB819Y7/GUrBGA=="], "better-call/@better-auth/utils": ["@better-auth/utils@0.5.0", "", { "dependencies": { "@noble/hashes": "^2.0.1" } }, "sha512-BL8W4EfIZFwlu0r54m3v1ztjDhu6dDe/amLTm0xybmbZaNgYUqhD3SjpAsnq0q8YD6/ki4iwIgxJNLP/N3TxiA=="], diff --git a/packages/mocks/LICENSE b/packages/mocks/LICENSE new file mode 100644 index 000000000..c6487f4fd --- /dev/null +++ b/packages/mocks/LICENSE @@ -0,0 +1,176 @@ +GNU LESSER GENERAL PUBLIC LICENSE + +Version 2.1, February 1999 + +Copyright (C) 1991, 1999 Free Software Foundation, Inc. +51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA + +Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. + +[This is the first released version of the Lesser GPL. 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Here is a sample; alter the names: + +Yoyodyne, Inc., hereby disclaims all copyright interest in +the library `Frob' (a library for tweaking knobs) written +by James Random Hacker. + +signature of Ty Coon, 1 April 1990 +Ty Coon, President of Vice +That's all there is to it! diff --git a/packages/mocks/README.md b/packages/mocks/README.md new file mode 100644 index 000000000..8adc36bce --- /dev/null +++ b/packages/mocks/README.md @@ -0,0 +1,157 @@ +# @corbits/mocks + +Deterministic mocks of the inference boundary — local providers first — +built to be consumed by our own tests, not adopted off the shelf. Three of +last night's worst defects (`tools: []` reaching the model with no +conversation history — CL-6448; a hallucinated tool name bricking a room — +CL-6478; `embeddinggemma` winning the chat default — CL-6477) lived at this +boundary and were only found by hand-building a logging proxy in front of +Ollama at 2am. This package turns each of those into a permanent CI +regression test with no GPU involved. + +## Design bar + +- **1:1 with how we actually consume providers**, not a kitchen sink. No + video/TTS/vector-DB surface we will never call. +- **Tree-shakeable and pluggable.** Every provider is its own entry point — + `@corbits/mocks/ollama` today — so a consumer imports only the provider it + mocks. The package root (`@corbits/mocks`, no subpath) exports nothing — + it exists only so the workspace's package-hygiene check has a bare + import to resolve; it is not a barrel and never gains provider imports. +- **Assert on what we SEND, not just what comes back.** Every request the + mock receives is captured and exposed through readable assertion methods + — `expectModel`, `expectToolsDeclared`, `expectMessageRoles`, + `expectHistoryContains` — instead of a test hand-digging through raw JSON. +- **Usable in-process and as a server.** `OllamaMock#fetch` is a plain + Fetch-API handler a unit test wires directly into a `fetchImpl`, with no + network involved. `OllamaMock#listen()` starts a real HTTP server on an + ephemeral port for the e2e path, where the stack is pointed at an Ollama + origin via env. + +## Quickstart: `@corbits/mocks/ollama` + +```ts +import { createOllamaMock } from "@corbits/mocks/ollama"; + +const ollama = createOllamaMock({ + models: [ + { name: "qwen3.8:27b", capabilities: ["completion", "tools"] }, + { name: "embeddinggemma:300m", capabilities: ["embedding"] }, + ], +}); + +// In-process: no network, no port. Wire ollama.fetch straight into +// whatever `fetchImpl` seam your code under test already accepts +// (testProviderCredential, fetchOllamaModelCatalog, the openai adapter's +// own fetch, ...). +const result = await testProviderCredential({ + provider: "ollama", + apiKey: OLLAMA_PLACEHOLDER_SECRET, + fetchImpl: ollama.fetch, +}); + +// As a server: for e2e, point the stack's OLLAMA_BASE_URL at this instead. +const server = await ollama.listen(); +process.env.OLLAMA_BASE_URL = server.url; +// ...run the real stack... +await server.close(); +``` + +### Scripting the model catalogue (CL-6477's shape) + +`GET /api/tags` and `POST /api/show` are served straight off the +`models` you hand the mock — no need to pull a real model to test +model-selection logic: + +```ts +const ollama = createOllamaMock({ + models: [ + { name: "embeddinggemma:300m", capabilities: ["embedding"] }, + { name: "qwen3.8:27b", capabilities: ["completion", "tools"] }, + ], +}); + +// preferCompletionCapable / hasCompletionCapableModel now have real, +// wire-shaped capability data to filter on, with no live Ollama instance. +``` + +### Scripting a chat reply + +```ts +ollama.onChat((request) => { + // `request` is the CapturedChatRequest this exact call received — + // branch on it if the reply should depend on what was sent. + return request.messages.some((m) => m.content.includes("book a flight")) + ? ollama.reply.toolCall("search_flights", { origin: "SFO" }) + : ollama.reply.text("how can I help?"); +}); +``` + +`ollama.reply` covers the two shapes a real completion-capable model +returns: `.text(string)` for a plain assistant turn, `.toolCall(name, args)` +/ `.toolCalls([...])` for the tool-call branch. Both streaming +(`stream: true`, SSE chunks terminated with `data: [DONE]`) and +non-streaming requests are answered from the same scripted reply — the +mock reads `stream` off the request, the test never has to pick a +different handler for each. + +### Asserting on the request (the highest-value half) + +```ts +const request = ollama.requests.last(); + +// Would have caught CL-6448 D2 outright: tools: [] reaching the model. +request.expectToolsDeclared(["create_agent", "send_message"]); + +// Pins the model actually dialed — catches a silent fallback to the +// adapter's default instead of the tenant's pinned choice. +request.expectModel("qwen3.8:27b"); + +// Would have caught CL-6448 D3: history collapsed to [system, latest user]. +request.expectMessageRoles(["system", "user", "assistant", "user"]); + +// Or, when only part of the history matters: +request.expectHistoryContains([ + { role: "system" }, + { role: "user", content: "book me a flight" }, + { role: "tool" }, +]); +``` + +See `src/ollama/cl-6448-demo.test.ts` for the full demonstration: the same +assertions failing against CL-6448's broken request shape, and passing +once tools and history are actually sent. + +## API shape + +| Export | What it's for | +| ---------------------------------------------- | ---------------------------------------------------------------------------- | +| `createOllamaMock(options?)` | Builds one mock instance. `options.models` seeds the `/api/tags` catalogue. | +| `mock.fetch` | A `(Request) => Promise` handler — the in-process path. | +| `mock.listen(port?)` | Starts a real Bun HTTP server; returns `{ url, close() }` — the server path. | +| `mock.setModels(models)` | Rewrites the catalogue mid-test (a connect flow that re-reads it). | +| `mock.onChat(handler)` | Scripts every subsequent `/v1/chat/completions` reply. | +| `mock.reply.text` / `.toolCall` / `.toolCalls` | Builds an `OllamaChatReply` for a handler to return. | +| `mock.requests` | The `CapturedRequestLog` — `.all`, `.count`, `.last()`, `.clear()`. | +| `CapturedChatRequest` | One captured request: `.model`, `.tools`, `.messages`, plus every `expect*`. | + +Routes covered: `GET /api/tags` (native catalogue), `POST /api/show` +(per-model capability probe), `POST /v1/chat/completions` +(openai-compatible chat, tool calls, streaming and non-streaming) — the +exact three endpoints `@workbench/hub-client`'s `credential-test.ts` and +the openai adapter's request-building actually call. No `/api/generate`, +`/api/embeddings`, or anything else Ollama exposes that we don't. + +## Roadmap (not in this unit) + +- **OpenAI-compatible and Anthropic provider mocks** — `@corbits/mocks/openai` + and `@corbits/mocks/anthropic`, same request-capture and reply-scripting + API shape as this one. +- **Adversarial output catalogue** — seeded canned failures a handler can + return in one call: malformed tool names (`\n ({ + name: call.function.name, + arguments: decodeToolCallArguments(call.function.arguments), + })), + } + : {}), + }; +} + +/** + * One `/v1/chat/completions` request the mock received, with the + * assertion helpers a test actually reaches for — the shape of check + * that would have caught CL-6448 (`tools: []`, no history reaching the + * model) had it existed. Every `expect*` throws a message naming what + * was actually sent, not just that the check failed. + */ +export class CapturedChatRequest { + readonly model: string; + readonly stream: boolean; + readonly tools: readonly CapturedToolDeclaration[]; + readonly messages: readonly CapturedMessage[]; + + constructor(body: ChatCompletionRequestBody) { + this.model = body.model; + this.stream = body.stream ?? false; + this.tools = (body.tools ?? []).map((t) => ({ + name: t.function.name, + ...(t.function.description !== undefined + ? { description: t.function.description } + : {}), + ...(t.function.parameters !== undefined + ? { parameters: t.function.parameters } + : {}), + })); + this.messages = body.messages.map(toCapturedMessage); + } + + toolNames(): readonly string[] { + return this.tools.map((t) => t.name); + } + + roles(): readonly CapturedMessageRole[] { + return this.messages.map((m) => m.role); + } + + /** Throws unless the request was pinned to exactly this model — catches + * a request silently falling back to whatever the adapter defaults to. */ + expectModel(model: string): void { + if (this.model !== model) { + throw new Error( + `expected request to be pinned to model "${model}", got "${this.model}"`, + ); + } + } + + /** + * Throws unless at least one tool was declared — the direct CL-6448 + * regression check (`tools: []` reaching the model). Pass `names` to + * additionally require exactly that set of tool names, independent of + * declaration order. + */ + expectToolsDeclared(names?: readonly string[]): void { + if (this.tools.length === 0) { + throw new Error( + "expected request to declare at least one tool, but tools was empty or missing (this is the CL-6448 regression shape)", + ); + } + if (names === undefined) return; + const actual = new Set(this.toolNames()); + const expected = new Set(names); + const missing = names.filter((name) => !actual.has(name)); + const extra = this.toolNames().filter((name) => !expected.has(name)); + if (missing.length > 0 || extra.length > 0) { + throw new Error( + `expected declared tools ${JSON.stringify(names)}, got ${JSON.stringify(this.toolNames())}` + + (missing.length > 0 ? ` (missing: ${JSON.stringify(missing)})` : "") + + (extra.length > 0 ? ` (unexpected: ${JSON.stringify(extra)})` : ""), + ); + } + } + + /** Throws unless the message roles, in order, exactly match `roles` — + * catches history collapsing to just `[system, user]` on every turn + * (CL-6448's other half). */ + expectMessageRoles(roles: readonly CapturedMessageRole[]): void { + const actual = this.roles(); + const matches = + actual.length === roles.length && + actual.every((role, i) => role === roles[i]); + if (!matches) { + throw new Error( + `expected message roles ${JSON.stringify(roles)}, got ${JSON.stringify(actual)}`, + ); + } + } + + /** + * Throws unless `expected` appears, in order, as a subsequence of the + * captured messages — each entry matched on `role` and, when given, a + * `content` substring. Use this over `expectMessageRoles` when only + * part of the history matters (e.g. "the user's original ask is still + * in there somewhere after three tool round-trips"). + */ + expectHistoryContains( + expected: readonly { role: CapturedMessageRole; content?: string }[], + ): void { + let cursor = 0; + for (const want of expected) { + const foundAt = this.messages.findIndex((message, i) => { + if (i < cursor) return false; + if (message.role !== want.role) return false; + if ( + want.content !== undefined && + !message.content.includes(want.content) + ) { + return false; + } + return true; + }); + if (foundAt === -1) { + throw new Error( + `expected history to contain ${JSON.stringify(want)} after position ${cursor}, but it did not appear in ${JSON.stringify(this.messages)}`, + ); + } + cursor = foundAt + 1; + } + } +} + +/** The mock's record of every chat request it has received, oldest first. */ +export class CapturedRequestLog { + private readonly captured: CapturedChatRequest[] = []; + + push(request: CapturedChatRequest): void { + this.captured.push(request); + } + + get all(): readonly CapturedChatRequest[] { + return this.captured; + } + + get count(): number { + return this.captured.length; + } + + /** The most recent request. Throws if the mock has received none yet — + * a test asserting on `.last()` with no prior call is a test bug, not a + * "no requests" state worth a silent `undefined`. */ + last(): CapturedChatRequest { + const request = this.captured.at(-1); + if (request === undefined) { + throw new Error("no chat request has been captured yet"); + } + return request; + } + + clear(): void { + this.captured.length = 0; + } +} diff --git a/packages/mocks/src/ollama/cl-6448-demo.test.ts b/packages/mocks/src/ollama/cl-6448-demo.test.ts new file mode 100644 index 000000000..809e48c79 --- /dev/null +++ b/packages/mocks/src/ollama/cl-6448-demo.test.ts @@ -0,0 +1,108 @@ +// Demonstrates the exact shape of test that would have caught CL-6448 +// before it shipped: the openai-compatible inference path sent +// `tools: []` and only `[system, latest user message]` — no history — +// on every turn, wire-proven by a logging proxy at 2am. No test anywhere +// asserted on the outgoing request shape; this is what one looks like. +import { describe, expect, test } from "bun:test"; +import { createOllamaMock } from "./index"; + +// Stands in for the real call site (`@intx/inference`'s openai adapter, +// invoked through workbench's turn assembly) — a launch/turn assembler +// that is SUPPOSED to forward the agent's declared tools and the full +// conversation history, but has regressed to CL-6448's broken shape. +async function assembleAndSendBrokenTurn( + fetchImpl: (req: Request) => Promise, + baseURL: string, +): Promise { + await fetchImpl( + new Request(`${baseURL}/v1/chat/completions`, { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ + model: "qwen3.8:27b", + // CL-6448 D2: tools declared upstream, but an empty list reaches + // the wire. + tools: [], + // CL-6448 D3: history collapsed to just the latest turn — no + // system prompt, no prior assistant/tool turns. + messages: [{ role: "user", content: "this is turn 17" }], + stream: false, + }), + }), + ); +} + +async function assembleAndSendCorrectTurn( + fetchImpl: (req: Request) => Promise, + baseURL: string, +): Promise { + await fetchImpl( + new Request(`${baseURL}/v1/chat/completions`, { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ + model: "qwen3.8:27b", + tools: [ + { type: "function", function: { name: "create_agent" } }, + { type: "function", function: { name: "send_message" } }, + ], + messages: [ + { role: "system", content: "6.5KB of tool doctrine" }, + { role: "user", content: "turn 1" }, + { role: "assistant", content: "reply 1" }, + { role: "user", content: "this is turn 17" }, + ], + stream: false, + }), + }), + ); +} + +describe("CL-6448 regression shape", () => { + test("expectToolsDeclared catches an empty tools array reaching the model", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("[Called create_agent: ...]")); + + await assembleAndSendBrokenTurn(ollama.fetch, "http://mock-ollama"); + + expect(() => ollama.requests.last().expectToolsDeclared()).toThrow( + /tools was empty or missing/, + ); + }); + + test("expectHistoryContains catches a turn with no conversation history", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("this is the first message")); + + await assembleAndSendBrokenTurn(ollama.fetch, "http://mock-ollama"); + + expect(() => + ollama.requests + .last() + .expectHistoryContains([ + { role: "system" }, + { role: "user", content: "turn 1" }, + ]), + ).toThrow(/expected history to contain/); + }); + + test("the same assertions pass once tools and history are actually sent", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.toolCall("create_agent", {})); + + await assembleAndSendCorrectTurn(ollama.fetch, "http://mock-ollama"); + + const request = ollama.requests.last(); + expect(() => + request.expectToolsDeclared(["create_agent", "send_message"]), + ).not.toThrow(); + expect(() => + request.expectHistoryContains([ + { role: "system" }, + { role: "user", content: "turn 1" }, + { role: "assistant" }, + { role: "user", content: "turn 17" }, + ]), + ).not.toThrow(); + }); +}); diff --git a/packages/mocks/src/ollama/hub-client-consumer.test.ts b/packages/mocks/src/ollama/hub-client-consumer.test.ts new file mode 100644 index 000000000..a04fee7ec --- /dev/null +++ b/packages/mocks/src/ollama/hub-client-consumer.test.ts @@ -0,0 +1,67 @@ +// Wires the mock into the REAL call sites it exists to plug into — +// `@workbench/hub-client`'s `FetchLike`-shaped functions — rather than +// calling `mock.fetch` directly the way `mock.test.ts` does. That +// distinction matters: `mock.fetch(new Request(...))` typechecking says +// nothing about whether the mock satisfies the two-argument +// `(url, init) => Promise` shape every real caller +// (`testProviderCredential`, `fetchOllamaModelCatalog`, +// `fetchOllamaModelCapabilities`) actually uses. A cast past a signature +// mismatch here would compile and then silently return `undefined` at +// runtime, since these functions swallow thrown errors as "unreachable" — +// exactly the failure mode a reviewer using this package as a real +// consumer hit. +import { describe, expect, test } from "bun:test"; +import { + fetchOllamaModelCatalog, + testProviderCredential, + OLLAMA_PLACEHOLDER_SECRET, +} from "@workbench/hub-client/credential-test"; +import { preferCompletionCapable } from "@workbench/hub-client/model-capability"; +import { createOllamaMock } from "./index"; + +const BASE_URL = "http://mock-ollama"; + +describe("OllamaMock as a real hub-client FetchLike consumer", () => { + test("testProviderCredential proves reachability through the mock with no cast", async () => { + const ollama = createOllamaMock({ models: [{ name: "qwen3.8:27b" }] }); + + const result = await testProviderCredential({ + provider: "ollama", + apiKey: OLLAMA_PLACEHOLDER_SECRET, + baseURL: BASE_URL, + fetchImpl: ollama.fetch, + }); + + expect(result).toEqual({ ok: true }); + }); + + // The CL-6477 scenario: a fresh Ollama connect whose only pulled model + // sorts first alphabetically is an embedding model. Without real, + // wire-observed capability data, default-model resolution + // (`preferCompletionCapable`) has nothing to filter on and an embedding + // model wins the chat default. `fetchOllamaModelCatalog` probes each + // model's capabilities (`/api/show`) the same way a live instance would. + test("fetchOllamaModelCatalog + preferCompletionCapable never let embeddinggemma win the chat default", async () => { + const ollama = createOllamaMock({ + models: [ + { name: "embeddinggemma:300m", capabilities: ["embedding"] }, + { name: "qwen3.8:27b", capabilities: ["completion", "tools"] }, + ], + }); + + const catalog = await fetchOllamaModelCatalog(BASE_URL, ollama.fetch); + expect(catalog).toBeDefined(); + expect(catalog?.map((m) => m.canonicalName)).toEqual([ + "embeddinggemma:300m", + "qwen3.8:27b", + ]); + + const chatCapable = preferCompletionCapable( + catalog ?? [], + (model) => model.capabilities, + (model) => model.canonicalName, + ); + + expect(chatCapable.map((m) => m.canonicalName)).toEqual(["qwen3.8:27b"]); + }); +}); diff --git a/packages/mocks/src/ollama/index.ts b/packages/mocks/src/ollama/index.ts new file mode 100644 index 000000000..333c312c7 --- /dev/null +++ b/packages/mocks/src/ollama/index.ts @@ -0,0 +1,16 @@ +export { createOllamaMock, OllamaMock } from "./mock"; +export type { + OllamaChatHandler, + CreateOllamaMockOptions, + OllamaMockServer, +} from "./mock"; +export { CapturedChatRequest, CapturedRequestLog } from "./capture"; +export type { + OllamaCapability, + OllamaCatalogEntry, + OllamaChatReply, + OllamaToolCall, + CapturedToolDeclaration, + CapturedMessage, + CapturedMessageRole, +} from "./types"; diff --git a/packages/mocks/src/ollama/mock.test.ts b/packages/mocks/src/ollama/mock.test.ts new file mode 100644 index 000000000..b84ab1d7f --- /dev/null +++ b/packages/mocks/src/ollama/mock.test.ts @@ -0,0 +1,250 @@ +import { describe, expect, test } from "bun:test"; +import { createOllamaMock } from "./index"; + +async function chat( + fetchImpl: (req: Request) => Promise, + body: unknown, +): Promise { + return fetchImpl( + new Request("http://mock-ollama/v1/chat/completions", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify(body), + }), + ); +} + +describe("createOllamaMock: model catalogue", () => { + test("serves a scripted /api/tags with no models pulled", async () => { + const ollama = createOllamaMock({ + models: [ + { name: "qwen3.8:27b", capabilities: ["completion", "tools"] }, + { name: "embeddinggemma:300m", capabilities: ["embedding"] }, + ], + }); + + const response = await ollama.fetch( + new Request("http://mock-ollama/api/tags"), + ); + const body = (await response.json()) as { models: { name: string }[] }; + + expect(response.status).toBe(200); + expect(body.models.map((m) => m.name)).toEqual([ + "qwen3.8:27b", + "embeddinggemma:300m", + ]); + }); + + test("setModels updates the catalogue a test connects against mid-run", async () => { + const ollama = createOllamaMock({ models: [] }); + ollama.setModels([{ name: "qwen3.8:27b" }]); + + const response = await ollama.fetch( + new Request("http://mock-ollama/api/tags"), + ); + const body = (await response.json()) as { models: { name: string }[] }; + expect(body.models).toHaveLength(1); + }); + + test("/api/show answers each model's own scripted capabilities", async () => { + const ollama = createOllamaMock({ + models: [{ name: "embeddinggemma:300m", capabilities: ["embedding"] }], + }); + + const response = await ollama.fetch( + new Request("http://mock-ollama/api/show", { + method: "POST", + headers: { "content-type": "application/json" }, + body: JSON.stringify({ model: "embeddinggemma:300m" }), + }), + ); + const body = (await response.json()) as { capabilities: string[] }; + expect(body.capabilities).toEqual(["embedding"]); + }); +}); + +describe("createOllamaMock: chat completions", () => { + test("non-streaming reply carries the scripted text", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("hi there")); + + const response = await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "hello" }], + stream: false, + }); + const body = (await response.json()) as { + choices: { message: { content: string }; finish_reason: string }[]; + }; + + expect(body.choices[0]?.message.content).toBe("hi there"); + expect(body.choices[0]?.finish_reason).toBe("stop"); + }); + + test("streaming reply is SSE, terminated with [DONE]", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("streamed")); + + const response = await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "hello" }], + stream: true, + }); + const text = await response.text(); + + expect(response.headers.get("content-type")).toBe("text/event-stream"); + expect(text).toContain('"content":"streamed"'); + expect(text.trim().endsWith("data: [DONE]")).toBe(true); + }); + + test("tool-call reply carries function name and JSON-encoded arguments", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => + ollama.reply.toolCall("create_agent", { name: "researcher" }), + ); + + const response = await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "make me an agent" }], + tools: [{ type: "function", function: { name: "create_agent" } }], + stream: false, + }); + const body = (await response.json()) as { + choices: { + message: { + tool_calls?: { function: { name: string; arguments: string } }[]; + }; + finish_reason: string; + }[]; + }; + const call = body.choices[0]?.message.tool_calls?.[0]; + + expect(call?.function.name).toBe("create_agent"); + expect(JSON.parse(call?.function.arguments ?? "{}")).toEqual({ + name: "researcher", + }); + expect(body.choices[0]?.finish_reason).toBe("tool_calls"); + }); + + test("rejects a malformed request body instead of crashing", async () => { + const ollama = createOllamaMock(); + const response = await chat(ollama.fetch, { model: 123, messages: "nope" }); + expect(response.status).toBe(400); + }); +}); + +describe("createOllamaMock: request capture", () => { + test("records every chat request in order", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("ok")); + + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "first" }], + }); + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "second" }], + }); + + expect(ollama.requests.count).toBe(2); + expect(ollama.requests.all[0]?.messages[0]?.content).toBe("first"); + expect(ollama.requests.last().messages[0]?.content).toBe("second"); + }); + + test("last() throws when nothing has been captured yet", () => { + const ollama = createOllamaMock(); + expect(() => ollama.requests.last()).toThrow(/no chat request/i); + }); +}); + +describe("CapturedChatRequest assertions", () => { + test("expectModel throws with the actual model on mismatch", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("ok")); + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "hi" }], + }); + + expect(() => + ollama.requests.last().expectModel("qwen3.8:27b"), + ).not.toThrow(); + expect(() => ollama.requests.last().expectModel("other-model")).toThrow( + /qwen3\.8:27b/, + ); + }); + + test("expectToolsDeclared(names) enforces the exact declared set", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("ok")); + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [{ role: "user", content: "hi" }], + tools: [{ type: "function", function: { name: "send_message" } }], + }); + + const request = ollama.requests.last(); + expect(() => request.expectToolsDeclared(["send_message"])).not.toThrow(); + expect(() => request.expectToolsDeclared(["create_agent"])).toThrow(); + }); + + test("expectMessageRoles catches history collapsing to just [system, user]", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("ok")); + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [ + { role: "system", content: "doctrine" }, + { role: "user", content: "turn 1" }, + { role: "assistant", content: "reply 1" }, + { role: "user", content: "turn 17" }, + ], + }); + + const request = ollama.requests.last(); + expect(() => + request.expectMessageRoles(["system", "user", "assistant", "user"]), + ).not.toThrow(); + expect(() => request.expectMessageRoles(["system", "user"])).toThrow(); + }); + + test("expectHistoryContains finds an ordered subsequence", async () => { + const ollama = createOllamaMock(); + ollama.onChat(() => ollama.reply.text("ok")); + await chat(ollama.fetch, { + model: "qwen3.8:27b", + messages: [ + { role: "system", content: "doctrine" }, + { role: "user", content: "book me a flight" }, + { role: "assistant", content: "calling search_flights" }, + { role: "tool", content: "3 results", tool_call_id: "call_0" }, + ], + }); + + const request = ollama.requests.last(); + expect(() => + request.expectHistoryContains([ + { role: "user", content: "book me a flight" }, + { role: "tool" }, + ]), + ).not.toThrow(); + expect(() => + request.expectHistoryContains([{ role: "user", content: "never sent" }]), + ).toThrow(); + }); +}); + +describe("createOllamaMock: as a server", () => { + test("listen() serves the same routes over real HTTP", async () => { + const ollama = createOllamaMock({ models: [{ name: "qwen3.8:27b" }] }); + const server = await ollama.listen(); + try { + const response = await fetch(`${server.url}/api/tags`); + const body = (await response.json()) as { models: { name: string }[] }; + expect(body.models[0]?.name).toBe("qwen3.8:27b"); + } finally { + await server.close(); + } + }); +}); diff --git a/packages/mocks/src/ollama/mock.ts b/packages/mocks/src/ollama/mock.ts new file mode 100644 index 000000000..0f65aabd9 --- /dev/null +++ b/packages/mocks/src/ollama/mock.ts @@ -0,0 +1,258 @@ +import { type } from "arktype"; +import { CapturedChatRequest, CapturedRequestLog } from "./capture"; +import { + ChatCompletionRequestBody, + type OllamaCatalogEntry, + type OllamaChatReply, + type OllamaToolCall, +} from "./types"; + +export type OllamaChatHandler = ( + request: CapturedChatRequest, +) => OllamaChatReply; + +export type CreateOllamaMockOptions = { + /** The `/api/tags` catalogue served before any `onChat` handler runs. + * Change it mid-test with `setModels` to exercise a connect flow that + * (re)reads the catalogue. */ + readonly models?: readonly OllamaCatalogEntry[]; +}; + +export type OllamaMockServer = { + readonly url: string; + close(): Promise; +}; + +function defaultReply(): OllamaChatReply { + return { text: "mock reply", finishReason: "stop" }; +} + +function toolCallToWire(call: OllamaToolCall, index: number) { + return { + id: `call_${index}`, + type: "function" as const, + function: { name: call.name, arguments: JSON.stringify(call.arguments) }, + }; +} + +function replyMessage(reply: OllamaChatReply) { + const toolCalls = reply.toolCalls?.map(toolCallToWire); + return { + role: "assistant" as const, + content: reply.text ?? null, + ...(toolCalls !== undefined ? { tool_calls: toolCalls } : {}), + }; +} + +function finishReasonOf(reply: OllamaChatReply): string { + return ( + reply.finishReason ?? + (reply.toolCalls !== undefined && reply.toolCalls.length > 0 + ? "tool_calls" + : "stop") + ); +} + +function nonStreamingResponse(model: string, reply: OllamaChatReply): Response { + const body = { + id: "chatcmpl-mock", + object: "chat.completion", + created: Math.floor(Date.now() / 1000), + model, + choices: [ + { + index: 0, + message: replyMessage(reply), + finish_reason: finishReasonOf(reply), + }, + ], + }; + return new Response(JSON.stringify(body), { + status: 200, + headers: { "content-type": "application/json" }, + }); +} + +// A single-chunk SSE stream carrying the whole reply, then `[DONE]` — real +// Ollama and OpenAI both emit the assistant content across many deltas, +// but this mock's contract is the request it received and the shape of +// the reply, not reproducing token-by-token pacing. +function streamingResponse(model: string, reply: OllamaChatReply): Response { + const chunk = { + id: "chatcmpl-mock", + object: "chat.completion.chunk", + created: Math.floor(Date.now() / 1000), + model, + choices: [ + { + index: 0, + delta: { + role: "assistant", + content: reply.text ?? null, + ...(reply.toolCalls !== undefined + ? { tool_calls: reply.toolCalls.map(toolCallToWire) } + : {}), + }, + finish_reason: null, + }, + ], + }; + const doneChunk = { + id: "chatcmpl-mock", + object: "chat.completion.chunk", + created: Math.floor(Date.now() / 1000), + model, + choices: [{ index: 0, delta: {}, finish_reason: finishReasonOf(reply) }], + }; + const body = + `data: ${JSON.stringify(chunk)}\n\n` + + `data: ${JSON.stringify(doneChunk)}\n\n` + + `data: [DONE]\n\n`; + return new Response(body, { + status: 200, + headers: { "content-type": "text/event-stream" }, + }); +} + +export class OllamaMock { + readonly requests = new CapturedRequestLog(); + private models: OllamaCatalogEntry[]; + private handler: OllamaChatHandler = defaultReply; + + constructor(options: CreateOllamaMockOptions = {}) { + this.models = [...(options.models ?? [])]; + } + + setModels(models: readonly OllamaCatalogEntry[]): void { + this.models = [...models]; + } + + /** Scripts the reply to every `/v1/chat/completions` request from now + * on. Called once per request, so a handler can vary its reply by + * turn count (`this.requests.count`) or by inspecting the captured + * request it's handed. */ + onChat(handler: OllamaChatHandler): void { + this.handler = handler; + } + + reply = { + text: (text: string): OllamaChatReply => ({ text, finishReason: "stop" }), + toolCall: (name: string, args: unknown): OllamaChatReply => ({ + toolCalls: [{ name, arguments: args }], + finishReason: "tool_calls", + }), + toolCalls: (calls: readonly OllamaToolCall[]): OllamaChatReply => ({ + toolCalls: calls, + finishReason: "tool_calls", + }), + }; + + /** + * The whole mock as a `fetch`-shaped function — `(input, init?)`, the + * same two-argument shape as global `fetch` and, load-bearingly, + * `@workbench/hub-client`'s `FetchLike` (the seam every real caller — + * `testProviderCredential`, `fetchOllamaModelCatalog`, + * `fetchOllamaModelCapabilities` — actually threads a `fetchImpl` + * through as). A caller passing a bare `Request` + * (`ollama.fetch(new Request(...))`) still works; the common case is a + * URL string plus an init object, exactly what those functions build. + */ + fetch = async ( + input: string | Request, + init?: RequestInit, + ): Promise => { + const request = + input instanceof Request + ? init === undefined + ? input + : new Request(input, init) + : new Request(input, init); + return this.route(request); + }; + + private async route(request: Request): Promise { + const url = new URL(request.url); + if (request.method === "GET" && url.pathname === "/api/tags") { + return this.handleTags(); + } + if (request.method === "POST" && url.pathname === "/api/show") { + return this.handleShow(await request.json()); + } + if (request.method === "POST" && url.pathname === "/v1/chat/completions") { + return this.handleChatCompletions(await request.json()); + } + return new Response( + JSON.stringify({ + error: `mock ollama has no route for ${request.method} ${url.pathname}`, + }), + { status: 404, headers: { "content-type": "application/json" } }, + ); + } + + private handleTags(): Response { + const body = { + models: this.models.map((m) => ({ + name: m.name, + digest: m.digest ?? `sha256:mock-${m.name}`, + size: m.size ?? 0, + })), + }; + return new Response(JSON.stringify(body), { + status: 200, + headers: { "content-type": "application/json" }, + }); + } + + private handleShow(rawBody: unknown): Response { + const ShowRequest = type({ model: "string" }); + const parsed = ShowRequest(rawBody); + if (parsed instanceof type.errors) { + return new Response(JSON.stringify({ error: parsed.summary }), { + status: 400, + headers: { "content-type": "application/json" }, + }); + } + const entry = this.models.find((m) => m.name === parsed.model); + return new Response( + JSON.stringify({ capabilities: entry?.capabilities ?? [] }), + { status: 200, headers: { "content-type": "application/json" } }, + ); + } + + private handleChatCompletions(rawBody: unknown): Response { + const parsed = ChatCompletionRequestBody(rawBody); + if (parsed instanceof type.errors) { + return new Response( + JSON.stringify({ + error: `malformed chat-completions request: ${parsed.summary}`, + }), + { status: 400, headers: { "content-type": "application/json" } }, + ); + } + const captured = new CapturedChatRequest(parsed); + this.requests.push(captured); + const reply = this.handler(captured); + return parsed.stream + ? streamingResponse(parsed.model, reply) + : nonStreamingResponse(parsed.model, reply); + } + + /** Starts a real HTTP server (Bun) and returns its URL — for the e2e + * path, where the stack is pointed at an Ollama origin via env rather + * than an in-process fetch. */ + async listen(port = 0): Promise { + const server = Bun.serve({ port, fetch: (request) => this.route(request) }); + return { + url: `http://localhost:${server.port}`, + close: async () => { + server.stop(true); + }, + }; + } +} + +export function createOllamaMock( + options?: CreateOllamaMockOptions, +): OllamaMock { + return new OllamaMock(options); +} diff --git a/packages/mocks/src/ollama/types.ts b/packages/mocks/src/ollama/types.ts new file mode 100644 index 000000000..8f165d4ab --- /dev/null +++ b/packages/mocks/src/ollama/types.ts @@ -0,0 +1,87 @@ +import { type } from "arktype"; + +// Ollama's own `/api/show` capability vocabulary — the same strings +// `@workbench/hub-client`'s `OLLAMA_CAPABILITY_MAP` translates from. A +// catalogue entry scripts these directly so model-selection logic +// (`preferCompletionCapable`, capability probing) is testable against the +// exact values the real instance would answer, with no translation layer +// duplicated in the mock. +export type OllamaCapability = + "completion" | "embedding" | "tools" | "vision" | "insert"; + +export type OllamaCatalogEntry = { + readonly name: string; + readonly capabilities?: readonly OllamaCapability[]; + readonly digest?: string; + readonly size?: number; +}; + +export type OllamaToolCall = { + readonly name: string; + readonly arguments: unknown; +}; + +/** + * What a scripted `onChat` handler hands back. `text` alone is a plain + * assistant reply; `toolCalls` puts the model in the tool-call branch a + * real completion-capable model takes when its declared tools cover the + * turn. Both may be set (a model that narrates before calling a tool). + */ +export type OllamaChatReply = { + readonly text?: string; + readonly toolCalls?: readonly OllamaToolCall[]; + readonly finishReason?: "stop" | "tool_calls" | "length"; +}; + +export type CapturedToolDeclaration = { + readonly name: string; + readonly description?: string; + readonly parameters?: unknown; +}; + +export type CapturedMessageRole = "system" | "user" | "assistant" | "tool"; + +export type CapturedMessage = { + readonly role: CapturedMessageRole; + readonly content: string; + readonly toolCallId?: string; + readonly toolCalls?: readonly OllamaToolCall[]; +}; + +// The OpenAI-compatible chat-completions request body, as `@intx/inference`'s +// openai adapter actually builds it (`buildRequest` in +// `providers/openai.js`) and Ollama's `/v1/chat/completions` route +// receives it. Parsed at the boundary — this is the mock server reading +// a request it did not construct — so a caller sending a malformed body +// surfaces a clear parse error instead of a downstream `undefined` crash. +const ChatCompletionTool = type({ + type: "'function'", + function: { + name: "string", + "description?": "string", + "parameters?": "unknown", + }, +}); + +const ChatCompletionToolCall = type({ + id: "string", + type: "'function'", + function: { name: "string", arguments: "string" }, +}); + +const ChatCompletionMessage = type({ + role: "'system' | 'user' | 'assistant' | 'tool'", + "content?": "string | null", + "tool_call_id?": "string", + "tool_calls?": ChatCompletionToolCall.array(), +}); + +export const ChatCompletionRequestBody = type({ + model: "string", + messages: ChatCompletionMessage.array(), + "tools?": ChatCompletionTool.array(), + "stream?": "boolean", + "temperature?": "number", +}); + +export type ChatCompletionRequestBody = typeof ChatCompletionRequestBody.infer; diff --git a/packages/mocks/tsconfig.json b/packages/mocks/tsconfig.json new file mode 100644 index 000000000..12ec9a862 --- /dev/null +++ b/packages/mocks/tsconfig.json @@ -0,0 +1,7 @@ +{ + "extends": "../../tsconfig.base.json", + "compilerOptions": { + "types": ["bun"] + }, + "include": ["src"] +}