| 1 | import * as CloudflareClient from "@effect/ai-cloudflare/CloudflareClient" |
| 2 | import * as CloudflareDecisionModel from "@effect/ai-cloudflare/CloudflareDecisionModel" |
| 3 | import { assert, describe, it } from "@effect/vitest" |
| 4 | import { Effect, Layer, Redacted, Schema } from "effect" |
| 5 | import { Decision, DecisionModel, Model } from "effect/ai" |
| 6 | import * as HttpClient from "effect/http/HttpClient" |
| 7 | import type * as HttpClientError from "effect/http/HttpClientError" |
| 8 | import type * as HttpClientRequest from "effect/http/HttpClientRequest" |
| 9 | import * as HttpClientResponse from "effect/http/HttpClientResponse" |
| 10 | |
| 11 | const Triage = Decision.make({ |
| 12 | input: Schema.Struct({ message: Schema.String }), |
| 13 | decisions: { |
| 14 | team: Decision.classify({ |
| 15 | instructions: "Which team should handle this request?", |
| 16 | criteria: { billing: "Payments", technical: "Outages" } |
| 17 | }), |
| 18 | severity: Decision.rate({ |
| 19 | instructions: "How severe is the impact?", |
| 20 | criteria: ["Minor", "Major", "Critical"] |
| 21 | }), |
| 22 | urgent: Decision.probability({ |
| 23 | instructions: "Does this need immediate attention?", |
| 24 | criteria: { false: "Can wait", true: "Act now" } |
| 25 | }) |
| 26 | } |
| 27 | }) |
| 28 | |
| 29 | const input = { message: "Checkout is down" } |
| 30 | |
| 31 | const answers = { |
| 32 | team: { |
| 33 | type: "choice", |
| 34 | choice: "technical", |
| 35 | confidence: 0.9, |
| 36 | probabilities: { billing: 0.1, technical: 0.9 } |
| 37 | }, |
| 38 | severity: { |
| 39 | type: "score", |
| 40 | score: 1.75, |
| 41 | confidence: 0.8, |
| 42 | probabilities: { "0": 0.05, "1": 0.15, "2": 0.8 }, |
| 43 | legend: { "0": "Minor", "1": "Major", "2": "Critical" } |
| 44 | }, |
| 45 | urgent: { type: "noul", noul: 0.99 } |
| 46 | } |
| 47 | |
| 48 | const clientLayer = ( |
| 49 | answers: unknown, |
| 50 | onRequest: (request: HttpClientRequest.HttpClientRequest) => void = () => {}, |
| 51 | model = "clef" |
| 52 | ) => |
| 53 | CloudflareClient.layer({ accountId: "test-account", apiKey: Redacted.make("test-token") }).pipe( |
| 54 | Layer.provide(Layer.succeed( |
| 55 | HttpClient.HttpClient, |
| 56 | HttpClient.makeWith( |
| 57 | Effect.map((request) => { |
| 58 | onRequest(request) |
| 59 | return HttpClientResponse.fromWeb( |
| 60 | request, |
| 61 | Response.json({ |
| 62 | success: true, |
| 63 | result: { model, answers, usage: { input_tokens: 120, output_tokens: 0 } } |
| 64 | }) |
| 65 | ) |
| 66 | }), |
| 67 | Effect.succeed as HttpClient.HttpClient.Preprocess<HttpClientError.HttpClientError, never> |
| 68 | ) |
| 69 | )) |
| 70 | ) |
| 71 | |
| 72 | const layer = (answers: unknown) => |
| 73 | CloudflareDecisionModel.layer({ model: "clef" }).pipe(Layer.provide(clientLayer(answers))) |
| 74 | |
| 75 | describe("CloudflareDecisionModel", () => { |
| 76 | it.effect("sends every decision as a question and maps the answers", () => |
| 77 | Effect.gen(function*() { |
| 78 | const result = yield* DecisionModel.decide(Triage, { input }) |
| 79 | assert.strictEqual(yield* Model.ProviderName, "cloudflare") |
| 80 | assert.strictEqual(yield* Model.ModelName, "clef") |
| 81 | assert.strictEqual(result.answers.team.label, "technical") |
| 82 | assert.deepStrictEqual({ ...result.answers.team.probabilities }, { billing: 0.1, technical: 0.9 }) |
| 83 | assert.strictEqual(result.answers.team.confidence, 0.9) |
| 84 | assert.strictEqual(result.answers.severity.label, "Critical") |
| 85 | assert.strictEqual(result.answers.severity.rating, 1.75) |
| 86 | assert.deepStrictEqual({ ...result.answers.severity.probabilities }, { Minor: 0.05, Major: 0.15, Critical: 0.8 }) |
| 87 | assert.strictEqual(result.answers.urgent.probability, 0.99) |
| 88 | assert.strictEqual(result.usage.inputTokens, 120) |
| 89 | assert.strictEqual(result.usage.outputTokens, 0) |
| 90 | }).pipe( |
| 91 | Effect.provide(CloudflareDecisionModel.model("clef")), |
| 92 | Effect.provide(clientLayer(answers, (request) => { |
| 93 | assert.strictEqual(request.body._tag, "Uint8Array") |
| 94 | if (request.body._tag === "Uint8Array") { |
| 95 | assert.deepStrictEqual(JSON.parse(new TextDecoder().decode(request.body.body)), { |
| 96 | model: "clef", |
| 97 | state: input, |
| 98 | questions: { |
| 99 | team: { |
| 100 | type: "choice", |
| 101 | instructions: Triage.decisions.team.instructions, |
| 102 | criteria: Triage.decisions.team.criteria |
| 103 | }, |
| 104 | severity: { |
| 105 | type: "score", |
| 106 | instructions: Triage.decisions.severity.instructions, |
| 107 | criteria: Triage.decisions.severity.criteria |
| 108 | }, |
| 109 | urgent: { |
| 110 | type: "noul", |
| 111 | instructions: Triage.decisions.urgent.instructions, |
| 112 | criteria: Triage.decisions.urgent.criteria |
| 113 | } |
| 114 | } |
| 115 | }) |
| 116 | } |
| 117 | })) |
| 118 | )) |
| 119 | |
| 120 | it.effect("sends an arbitrary model identifier through the decision request", () => { |
| 121 | const model = "clef-next" |
| 122 | return Effect.gen(function*() { |
| 123 | const result = yield* DecisionModel.decide(Triage, { input }) |
| 124 | assert.strictEqual(yield* Model.ModelName, model) |
| 125 | assert.strictEqual(result.answers.urgent.probability, 0.99) |
| 126 | }).pipe( |
| 127 | Effect.provide(CloudflareDecisionModel.model(model)), |
| 128 | Effect.provide(clientLayer(answers, (request) => { |
| 129 | assert.strictEqual( |
| 130 | request.url, |
| 131 | `https://api.cloudflare.com/client/v4/accounts/test-account/ai/run/@cf/cloudflare/${model}` |
| 132 | ) |
| 133 | assert.strictEqual(request.body._tag, "Uint8Array") |
| 134 | if (request.body._tag === "Uint8Array") { |
| 135 | assert.strictEqual(JSON.parse(new TextDecoder().decode(request.body.body)).model, model) |
| 136 | } |
| 137 | }, model)) |
| 138 | ) |
| 139 | }) |
| 140 | |
| 141 | it.effect("accepts probabilities with four-decimal rounding drift", () => |
| 142 | Effect.gen(function*() { |
| 143 | const result = yield* DecisionModel.decide(Triage, { input }) |
| 144 | assert.strictEqual(result.answers.severity.label, "Minor") |
| 145 | assert.closeTo(result.answers.severity.probabilities.Minor, 1 / 3, 1e-10) |
| 146 | }).pipe(Effect.provide(layer({ |
| 147 | ...answers, |
| 148 | severity: { |
| 149 | ...answers.severity, |
| 150 | score: 1, |
| 151 | confidence: 0.3333, |
| 152 | probabilities: { "0": 0.3333, "1": 0.3333, "2": 0.3333 } |
| 153 | } |
| 154 | })))) |
| 155 | |
| 156 | for ( |
| 157 | const [name, invalid] of [ |
| 158 | ["a missing answer", { team: answers.team, severity: answers.severity }], |
| 159 | ["a skipped rating level", { |
| 160 | ...answers, |
| 161 | severity: { ...answers.severity, probabilities: { "0": 0.2, "2": 0.8 } } |
| 162 | }], |
| 163 | ["drift beyond four decimals", { |
| 164 | ...answers, |
| 165 | team: { ...answers.team, probabilities: { billing: 0.1, technical: 0.89 } } |
| 166 | }] |
| 167 | ] as const |
| 168 | ) { |
| 169 | it.effect(`fails with InvalidOutputError for ${name}`, () => |
| 170 | Effect.gen(function*() { |
| 171 | const error = yield* Effect.flip(DecisionModel.decide(Triage, { input })) |
| 172 | assert.strictEqual(error.reason._tag, "InvalidOutputError") |
| 173 | }).pipe(Effect.provide(layer(invalid)))) |
| 174 | } |
| 175 | }) |