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refactor(ai): align multimodal naming (#40073)

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Aiden Cline 2026-08-01 21:57:05 -05:00 • committed by GitHub
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91 changed files with 563 additions and 500 deletions
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38
packages/core/test/session-runner.test.ts
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@ -1,10 +1,10 @@
import { describe, expect, test } from "bun:test"
import {
LLMError,
AIError,
LLMEvent,
LLMRequest,
Message,
Model,
LanguageModel,
SystemPart,
ToolFailure,
TransportReason,
@ -130,25 +130,25 @@ const testLLM = TestLLM.layer({
}),
})
const client = TestLLM.clientLayer
const model = Model.make({ id: "fake-model", provider: "fake", route: OpenAIChat.route })
const model = LanguageModel.make({ id: "fake-model", provider: "fake", route: OpenAIChat.route })
const defaultSystem = PROMPT_DEFAULT
const replacementModel = Model.make({ id: "replacement", provider: "fake", route: OpenAIChat.route })
const compactModel = Model.make({
const replacementModel = LanguageModel.make({ id: "replacement", provider: "fake", route: OpenAIChat.route })
const compactModel = LanguageModel.make({
id: "compact",
provider: "fake",
route: OpenAIChat.route.with({ limits: { context: 4_000, output: 50 } }),
})
const fullOutputModel = Model.make({
const fullOutputModel = LanguageModel.make({
id: "full-output",
provider: "fake",
route: OpenAIChat.route.with({ limits: { context: 262_144, output: 262_144 } }),
})
const undersizedContextModel = Model.make({
const undersizedContextModel = LanguageModel.make({
id: "undersized-context",
provider: "fake",
route: OpenAIChat.route.with({ limits: { context: 1, output: 1_000 } }),
})
const recoveryModel = Model.make({
const recoveryModel = LanguageModel.make({
id: "recovery",
provider: "fake",
route: OpenAIChat.route.with({ limits: { context: 20_000, output: 1_000 } }),
@ -230,9 +230,7 @@ const permission = Layer.succeed(
)
const transformTools = (registry: Tool.Interface, tools: Readonly<Record<string, Info>>, options?: Tool.Options) =>
registry.transform((draft) =>
Object.entries(tools).forEach(([name, tool]) =>
draft.add({ ...tool, name, options: options ?? tool.options }),
),
Object.entries(tools).forEach(([name, tool]) => draft.add({ ...tool, name, options: options ?? tool.options })),
)
const echo = Layer.effectDiscard(
Tool.Service.use((registry) =>
@ -509,21 +507,21 @@ const setup = Effect.gen(function* () {
})
const providerUnavailable = () =>
new LLMError({
new AIError({
module: "test",
method: "stream",
reason: new TransportReason({ message: "Provider unavailable" }),
})
const invalidRequest = () =>
new LLMError({
new AIError({
module: "test",
method: "stream",
reason: new InvalidRequestReason({ message: "Invalid request" }),
})
const rateLimited = (retryAfterMs?: number) =>
new LLMError({
new AIError({
module: "test",
method: "stream",
reason: new RateLimitReason({ message: "Rate limited", retryAfterMs }),
@ -1307,7 +1305,7 @@ describe("SessionRunnerLLM", () => {
it.effect("uses the selected model family prompt when the agent does not override it", () =>
Effect.gen(function* () {
const session = yield* setup
currentModel = Model.make({ id: "gpt-5", provider: "openai", route: OpenAIChat.route })
currentModel = LanguageModel.make({ id: "gpt-5", provider: "openai", route: OpenAIChat.route })
yield* admit(session, "First")
yield* TestLLM.push(TestLLM.text("Done", "text-provider-prompt"))
@ -1323,7 +1321,7 @@ describe("SessionRunnerLLM", () => {
it.effect("uses the selected model family prompt when the agent system override is empty", () =>
Effect.gen(function* () {
const session = yield* setup
currentModel = Model.make({ id: "gpt-5", provider: "openai", route: OpenAIChat.route })
currentModel = LanguageModel.make({ id: "gpt-5", provider: "openai", route: OpenAIChat.route })
const agent = yield* Agent.Service
yield* agent.transform((editor) =>
editor.update(Agent.ID.make("build"), (agent) => {
@ -2149,7 +2147,7 @@ describe("SessionRunnerLLM", () => {
const session = yield* setupOverflowRecovery
yield* TestLLM.push(
Stream.fail(
new LLMError({
new AIError({
module: "test",
method: "stream",
reason: new InvalidRequestReason({
@ -4076,7 +4074,7 @@ describe("SessionRunnerLLM", () => {
it.effect("settles malformed streamed tool input before the provider failure", () =>
Effect.gen(function* () {
const session = yield* setup
const failure = new LLMError({
const failure = new AIError({
module: "test",
method: "stream",
reason: new InvalidProviderOutputReason({ message: "Invalid JSON input for tool call echo" }),
@ -4290,7 +4288,7 @@ describe("SessionRunnerLLM", () => {
it.effect("records malformed provider-executed input as executed", () =>
Effect.gen(function* () {
const session = yield* setup
const failure = new LLMError({
const failure = new AIError({
module: "test",
method: "stream",
reason: new InvalidProviderOutputReason({ message: "Invalid hosted tool input" }),
@ -4322,7 +4320,7 @@ describe("SessionRunnerLLM", () => {
it.effect("records a provider failure after malformed input", () =>
Effect.gen(function* () {
const session = yield* setup
const failure = new LLMError({
const failure = new AIError({
module: "test",
method: "stream",
reason: new InvalidProviderOutputReason({ message: "Provider failed after malformed input" }),