opencode/packages/core/src/session/generate-node.ts

105 lines
4.4 KiB
TypeScript

export * as SessionGenerateNode from "./generate-node.js"
import { LLM, LLMClient, Message, SystemPart } from "@opencode-ai/ai"
import { Effect, Layer } from "effect"
import { Database } from "../database/database.js"
import { makeLocationNode } from "@opencode-ai/util/effect/app-node"
import { App } from "../app.js"
import { llmClient } from "../effect/app-node-platform.js"
import { PluginHooks } from "../plugin/hooks.js"
import { SessionContext } from "./context.js"
import { SessionGenerate } from "./generate.js"
import { SessionHistory } from "./history.js"
import { SessionModelHeaders } from "./model-headers.js"
import { SessionModelHook } from "./model-hook.js"
import { SessionModelHttp } from "./model-http.js"
import { SessionPromptCacheKey } from "./prompt-cache-key.js"
import { SessionRunnerModel } from "./runner/model.js"
import { SessionSystemPrompt } from "./system-prompt.js"
import { toLLMMessages } from "./runner/to-llm-message.js"
export const layer = Layer.effect(
SessionGenerate.Service,
Effect.gen(function* () {
const context = yield* SessionContext.Service
const database = yield* Database.Service
const hooks = yield* PluginHooks.Service
const llm = yield* LLMClient.Service
const models = yield* SessionRunnerModel.Service
const app = yield* App.Metadata
return SessionGenerate.Service.of({
generate: Effect.fn("SessionGenerate.generate")(function* (input) {
const selection = yield* context.select(input.sessionID)
const model = yield* models.resolve(selection.session)
const history = yield* SessionHistory.preview(database.db, selection.session.id, selection.instructions)
const providerMetadataKey = model.model.route.providerMetadataKey ?? model.model.provider
const tools = selection.tools
const toolDefinitions = tools.definitions
const toolsByName = new Map(toolDefinitions.map((tool) => [tool.name, tool]))
const contextEvent = yield* hooks.trigger("session", "context", {
sessionID: selection.session.id,
agent: selection.agent.id,
model: model.ref,
system: [
selection.agent.info.system
? selection.agent.info.system
: SessionSystemPrompt.make(toolDefinitions.map((tool) => tool.name)),
history.initial,
]
.filter((part) => part.length > 0)
.map(SystemPart.make),
messages: [
...toLLMMessages(history.messages, model.ref, providerMetadataKey),
...(history.instructionUpdate ? [Message.system(history.instructionUpdate)] : []),
Message.user(input.prompt),
],
tools: Object.fromEntries(
toolDefinitions.map((tool) => [
tool.name,
{ description: tool.description, input: { ...tool.inputSchema } },
]),
),
})
const hookedTools = Object.entries(contextEvent.tools).flatMap(([name, tool]) => {
const registered = toolsByName.get(name)
return registered
? [Object.assign({}, registered, { description: tool.description, inputSchema: tool.input })]
: []
})
yield* Effect.logInfo("sending session generation request", {
sessionID: selection.session.id,
providerID: model.ref.providerID,
modelID: model.ref.id,
})
const request = yield* SessionModelHook.apply(
hooks,
{ sessionID: selection.session.id, agent: selection.agent.id, model: model.ref },
LLM.request({
model: model.model,
http: { headers: SessionModelHeaders.make(selection.session, app) },
promptCacheKey: SessionPromptCacheKey.make(selection.session.id),
system: contextEvent.system,
messages: contextEvent.messages,
tools: hookedTools,
}),
)
const response = yield* llm.generate(request, {
http: SessionModelHttp.middleware(hooks, {
sessionID: selection.session.id,
agent: selection.agent.id,
model: model.ref,
}),
})
yield* Effect.logInfo("session generation usage diagnostic", { usage: response.usage })
return response.text
}),
})
}),
)
export const node = makeLocationNode({
service: SessionGenerate.Service,
layer,
deps: [SessionContext.node, Database.node, PluginHooks.node, SessionRunnerModel.node, App.node, llmClient],
})