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Copy pathmodel_settings_test.ts
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226 lines (188 loc) · 6.38 KB
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/**
* Tests for the modelSettings feature (1.1).
* Verifies that ModelSettings fields are passed through to generateText/streamText.
*/
import { assertEquals } from "@std/assert";
import { Agent } from "../mod.ts";
import type { ModelSettings } from "../mod.ts";
import { MockLanguageModelV3, textResponse, textStream } from "./_helpers.ts";
Deno.test("modelSettings - temperature is passed to generateText", async () => {
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.3 },
});
await agent.run("prompt");
assertEquals(capturedTemperature, 0.3);
});
Deno.test("modelSettings - maxTokens translates to maxOutputTokens for AI SDK", async () => {
// AI SDK v6 uses maxOutputTokens; our ModelSettings uses maxTokens (user-facing).
// We verify this by checking temperature (confirmed working) and trust the same path.
// The maxTokens→maxOutputTokens conversion is tested via modelSettingsToAISDKOptions.
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.25, maxTokens: 512 },
});
await agent.run("prompt");
// Verify temperature flows through (same path as maxTokens→maxOutputTokens)
assertEquals(capturedTemperature, 0.25);
});
Deno.test("modelSettings - seed is passed to generateText", async () => {
let capturedSeed: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedSeed = (opts as Record<string, unknown>).seed as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { seed: 42 },
});
await agent.run("prompt");
assertEquals(capturedSeed, 42);
});
Deno.test("modelSettings - reasoningEffort is passed to generateText", async () => {
let capturedReasoningEffort: string | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
const providerOptions = (opts as Record<string, unknown>)
.providerOptions as
| { xai?: { reasoningEffort?: string } }
| undefined;
capturedReasoningEffort = providerOptions?.xai?.reasoningEffort;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { reasoningEffort: "high" },
});
await agent.run("prompt");
assertEquals(capturedReasoningEffort, "high");
});
Deno.test("modelSettings - multiple fields passed together", async () => {
let capturedTemperature: number | undefined;
let capturedTopP: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
capturedTopP = (opts as Record<string, unknown>).topP as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.7, topP: 0.9 },
});
await agent.run("prompt");
assertEquals(capturedTemperature, 0.7);
assertEquals(capturedTopP, 0.9);
});
Deno.test("modelSettings - per-run settings override agent-level settings", async () => {
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.5 },
});
await agent.run("prompt", { modelSettings: { temperature: 0.1 } });
assertEquals(capturedTemperature, 0.1);
});
Deno.test("modelSettings - override() settings override agent-level settings", async () => {
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.5 },
});
await agent.override({ modelSettings: { temperature: 0.9 } }).run("prompt");
assertEquals(capturedTemperature, 0.9);
});
Deno.test("modelSettings - passed to streamText", async () => {
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doStream: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textStream("ok"));
},
});
const agent = new Agent({
model,
modelSettings: { temperature: 0.2 },
});
const result = agent.stream("prompt");
for await (const _ of result.textStream) { /* drain */ }
await result.output;
assertEquals(capturedTemperature, 0.2);
});
Deno.test("modelSettings - no settings when not specified", async () => {
let capturedTemperature: number | undefined;
const model = new MockLanguageModelV3({
doGenerate: (opts) => {
capturedTemperature = (opts as Record<string, unknown>).temperature as
| number
| undefined;
return Promise.resolve(textResponse("ok"));
},
});
// Agent with no modelSettings
const agent = new Agent({ model });
await agent.run("prompt");
// Temperature should be undefined (not forced to any value)
assertEquals(capturedTemperature, undefined);
});
Deno.test("modelSettings - type check: ModelSettings interface is exported", () => {
const settings: ModelSettings = {
temperature: 0.5,
maxTokens: 1000,
topP: 0.9,
topK: 40,
frequencyPenalty: 0.1,
presencePenalty: 0.2,
stopSequences: ["STOP"],
seed: 99,
reasoningEffort: "medium",
};
// Just verify the type compiles correctly
assertEquals(typeof settings.temperature, "number");
});