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145 lines
6 KiB
TypeScript
145 lines
6 KiB
TypeScript
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
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import { Context, Effect, Layer } from "effect"
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import { InstanceState } from "@/effect/instance-state"
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import PROMPT_ANTHROPIC from "./prompt/anthropic.txt"
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import PROMPT_DEFAULT from "./prompt/default.txt"
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import PROMPT_BEAST from "./prompt/beast.txt"
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import PROMPT_GEMINI from "./prompt/gemini.txt"
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import PROMPT_GPT from "./prompt/gpt.txt"
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import PROMPT_KIMI from "./prompt/kimi.txt"
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import PROMPT_CODEX from "./prompt/codex.txt"
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import PROMPT_TRINITY from "./prompt/trinity.txt"
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import type { Provider } from "@/provider/provider"
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import type { Agent } from "@/agent/agent"
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import { Permission } from "@/permission"
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import { Skill } from "@/skill"
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import { AbsolutePath } from "@opencode-ai/core/schema"
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import { Location } from "@opencode-ai/core/location"
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import { LocationServiceMap, locationServiceMapLayer } from "@opencode-ai/core/location-services"
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import { Reference } from "@opencode-ai/core/reference"
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import { MCP } from "@/mcp"
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import { PermissionV1 } from "@opencode-ai/core/v1/permission"
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export function provider(model: Provider.Model) {
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if (model.api.id.includes("gpt-4") || model.api.id.includes("o1") || model.api.id.includes("o3"))
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return [PROMPT_BEAST]
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if (model.api.id.includes("gpt")) {
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if (model.api.id.includes("codex")) {
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return [PROMPT_CODEX]
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}
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return [PROMPT_GPT]
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}
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if (model.api.id.includes("gemini-")) return [PROMPT_GEMINI]
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if (model.api.id.includes("claude")) return [PROMPT_ANTHROPIC]
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if (model.api.id.toLowerCase().includes("trinity")) return [PROMPT_TRINITY]
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if (model.api.id.toLowerCase().includes("kimi")) return [PROMPT_KIMI]
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return [PROMPT_DEFAULT]
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}
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export interface Interface {
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readonly environment: (model: Provider.Model) => Effect.Effect<string[]>
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readonly skills: (agent: Agent.Info) => Effect.Effect<string | undefined>
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readonly mcp: (agent: Agent.Info, permission?: PermissionV1.Ruleset) => Effect.Effect<string | undefined>
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}
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export class Service extends Context.Service<Service, Interface>()("@opencode/SystemPrompt") {}
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export const layer = Layer.effect(
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Service,
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Effect.gen(function* () {
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const skill = yield* Skill.Service
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const mcp = yield* MCP.Service
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const locations = yield* LocationServiceMap.Service
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return Service.of({
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environment: Effect.fn("SystemPrompt.environment")(function* (model: Provider.Model) {
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const ctx = yield* InstanceState.context
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const references = yield* Effect.gen(function* () {
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return (yield* (yield* Reference.Service).list()).filter((reference) => reference.description !== undefined)
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}).pipe(Effect.provide(locations.get(Location.Ref.make({ directory: AbsolutePath.make(ctx.directory) }))))
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return [
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[
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`You are powered by the model named ${model.api.id}. The exact model ID is ${model.providerID}/${model.api.id}`,
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`Here is some useful information about the environment you are running in:`,
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`<env>`,
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` Working directory: ${ctx.directory}`,
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` Workspace root folder: ${ctx.worktree}`,
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` Is directory a git repo: ${ctx.project.vcs === "git" ? "yes" : "no"}`,
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` Platform: ${process.platform}`,
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` Today's date: ${new Date().toDateString()}`,
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`</env>`,
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].join("\n"),
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references.length === 0
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? undefined
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: [
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"Project references provide additional directories that can be accessed when relevant.",
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"<available_references>",
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...references
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.toSorted((a, b) => a.name.localeCompare(b.name))
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.flatMap((reference) => [
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" <reference>",
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` <name>${reference.name}</name>`,
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` <path>${reference.path}</path>`,
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...(reference.description === undefined
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? []
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: [` <description>${reference.description}</description>`]),
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" </reference>",
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]),
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"</available_references>",
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].join("\n"),
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].filter((part): part is string => part !== undefined)
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}),
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skills: Effect.fn("SystemPrompt.skills")(function* (agent: Agent.Info) {
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if (Permission.disabled(["skill"], agent.permission).has("skill")) return
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const list = yield* skill.available(agent)
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return [
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"Skills provide specialized instructions and workflows for specific tasks.",
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"Use the skill tool to load a skill when a task matches its description.",
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// the agents seem to ingest the information about skills a bit better if we present a more verbose
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// version of them here and a less verbose version in tool description, rather than vice versa.
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Skill.fmt(list, { verbose: true }),
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].join("\n")
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}),
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mcp: Effect.fn("SystemPrompt.mcp")(function* (agent: Agent.Info, permission?: PermissionV1.Ruleset) {
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const ruleset = Permission.merge(agent.permission, permission ?? [])
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const instructions = (yield* mcp.instructions()).filter(
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(item) => item.tools.length === 0 || Permission.disabled(item.tools, ruleset).size < item.tools.length,
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)
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if (instructions.length === 0) return
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return [
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"<mcp_instructions>",
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...instructions.flatMap((item) => [
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` <server name="${item.name}">`,
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...item.instructions.split("\n").map((line) => ` ${line}`),
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" </server>",
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]),
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"</mcp_instructions>",
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].join("\n")
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}),
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})
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}),
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)
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export const defaultLayer = layer.pipe(
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Layer.provide(Skill.defaultLayer),
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Layer.provide(MCP.defaultLayer),
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Layer.provide(locationServiceMapLayer),
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)
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const locationServiceMapNode = LayerNode.make({ service: LocationServiceMap.Service, layer: locationServiceMapLayer, deps: [] })
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export const node = LayerNode.make({
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service: Service,
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layer: layer,
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deps: [Skill.node, MCP.node, locationServiceMapNode],
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})
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export * as SystemPrompt from "./system"
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