opencode/packages/opencode/src/session/system.ts

145 lines
6 KiB
TypeScript

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