lminandClaude Opus 4.7
5bd92a3535
- system.ts 不再把真实 model id 喂给 LLM（修复"底层是opencode/big-pickle"） - TUI 首页 tips、窗口标题、ACP 弹窗、命令提示文案全部 → zmo - config schema URL → zmo.dev；配置路径提示 → ~/.config/zmo、.zmo/ - 发给各家 LLM API 的标识头(X-Title/Referer/Source/UA/originator)→ zmo - 保留：opencode provider 路由id、@opencode-ai 包名、opencode.json/OPENCODE_* 兼容 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
85 lines
3.2 KiB
TypeScript
85 lines
3.2 KiB
TypeScript
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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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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}
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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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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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return [
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[
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`You are zmo, an AI coding assistant running in the terminal.`,
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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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]
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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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})
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}),
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)
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export const defaultLayer = layer.pipe(Layer.provide(Skill.defaultLayer))
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export * as SystemPrompt from "./system"
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