opencode/packages/core/src/generate.ts
2026-08-01 21:57:05 -05:00

89 lines
2.9 KiB
TypeScript

export * as Generate from "./generate"
import { LLM, LLMClient, AIError } from "@opencode-ai/ai"
import { Context, Effect, Layer, Schema } from "effect"
import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
import { llmClient } from "./effect/app-node-platform"
import { ModelResolver } from "./model-resolver"
import { Model } from "./model"
export interface TextInput {
readonly prompt: string
readonly model?: Model.Ref
}
export class ModelSelectionError extends Schema.TaggedErrorClass<ModelSelectionError>()(
"Generate.ModelSelectionError",
{ message: Schema.String },
) {}
export class UnavailableError extends Schema.TaggedErrorClass<UnavailableError>()("Generate.UnavailableError", {
message: Schema.String,
service: Schema.optional(Schema.String),
}) {}
export type Error = ModelSelectionError | UnavailableError
export interface Interface {
readonly text: (input: TextInput) => Effect.Effect<string, Error>
}
export class Service extends Context.Service<Service, Interface>()("@opencode/Generate") {}
export const layer = Layer.effect(
Service,
Effect.gen(function* () {
const llm = yield* LLMClient.Service
const resolver = yield* ModelResolver.Service
const runText = Effect.fn("Generate.text")(function* (input: TextInput) {
const resolved = yield* resolver.resolve(input.model).pipe(
Effect.catchTags({
"SessionRunnerModel.VariantUnavailableError": (error) =>
input.model
? new ModelSelectionError({ message: error.message })
: new UnavailableError({ message: error.message, service: error.providerID }),
"SessionRunnerModel.UnsupportedPackageError": (error) =>
input.model
? new ModelSelectionError({ message: error.message })
: new UnavailableError({ message: error.message, service: error.providerID }),
}),
)
if (!resolved)
return yield* new ModelSelectionError({
message: input.model
? `Model unavailable: ${input.model.providerID}/${input.model.id}`
: "No model specified and no supported model is available",
})
const response = yield* llm.generate(LLM.request({ model: resolved.model, prompt: input.prompt })).pipe(
Effect.mapError(
(error: AIError) =>
new UnavailableError({
message: error.message,
service: resolved.ref.providerID,
}),
),
)
return response.text
})
const text: Interface["text"] = (input) =>
runText(input).pipe(
Effect.catchTag(
"Integration.Authorization",
() =>
new UnavailableError({
message: "Generation credentials are unavailable",
}),
),
)
return Service.of({ text })
}),
)
export const node = makeLocationNode({
service: Service,
layer,
deps: [ModelResolver.node, llmClient],
})