Preview native LLM runtime stack (#27114)

This commit is contained in:
Kit Langton
2026-05-18 14:41:36 -04:00
committed by GitHub
parent ff9d7cab5c
commit dbe36851bc
20 changed files with 2683 additions and 481 deletions
+156 -83
View File
@@ -2,7 +2,10 @@ import { Provider } from "@/provider/provider"
import * as Log from "@opencode-ai/core/util/log"
import { Context, Effect, Layer, Record } from "effect"
import * as Stream from "effect/Stream"
import { streamText, wrapLanguageModel, type ModelMessage, type Tool, tool, jsonSchema } from "ai"
import { streamText, wrapLanguageModel, type ModelMessage, type Tool, tool as aiTool, jsonSchema } from "ai"
import type { LLMEvent } from "@opencode-ai/llm"
import { LLMClient, RequestExecutor } from "@opencode-ai/llm/route"
import type { LLMClientService } from "@opencode-ai/llm/route"
import { mergeDeep } from "remeda"
import { GitLabWorkflowLanguageModel } from "gitlab-ai-provider"
import { ProviderTransform } from "@/provider/transform"
@@ -23,10 +26,11 @@ import { EffectBridge } from "@/effect/bridge"
import { RuntimeFlags } from "@/effect/runtime-flags"
import * as Option from "effect/Option"
import * as OtelTracer from "@effect/opentelemetry/Tracer"
import { LLMAISDK } from "./llm/ai-sdk"
import { LLMNativeRuntime } from "./llm/native-runtime"
const log = Log.create({ service: "llm" })
export const OUTPUT_TOKEN_MAX = ProviderTransform.OUTPUT_TOKEN_MAX
type Result = Awaited<ReturnType<typeof streamText>>
// Avoid re-instantiating remeda's deep merge types in this hot LLM path; the runtime behavior is still mergeDeep.
const mergeOptions = (target: Record<string, any>, source: Record<string, any> | undefined): Record<string, any> =>
@@ -51,10 +55,8 @@ export type StreamRequest = StreamInput & {
abort: AbortSignal
}
export type Event = Result["fullStream"] extends AsyncIterable<infer T> ? T : never
export interface Interface {
readonly stream: (input: StreamInput) => Stream.Stream<Event, unknown>
readonly stream: (input: StreamInput) => Stream.Stream<LLMEvent, unknown>
}
export class Service extends Context.Service<Service, Interface>()("@opencode/LLM") {}
@@ -62,7 +64,13 @@ export class Service extends Context.Service<Service, Interface>()("@opencode/LL
const live: Layer.Layer<
Service,
never,
Auth.Service | Config.Service | Provider.Service | Plugin.Service | Permission.Service | RuntimeFlags.Service
| Auth.Service
| Config.Service
| Provider.Service
| Plugin.Service
| Permission.Service
| LLMClientService
| RuntimeFlags.Service
> = Layer.effect(
Service,
Effect.gen(function* () {
@@ -71,6 +79,7 @@ const live: Layer.Layer<
const provider = yield* Provider.Service
const plugin = yield* Plugin.Service
const perm = yield* Permission.Service
const llmClient = yield* LLMClient.Service
const flags = yield* RuntimeFlags.Service
const run = Effect.fn("LLM.run")(function* (input: StreamRequest) {
@@ -202,7 +211,7 @@ const live: Layer.Layer<
Object.keys(tools).length === 0 &&
hasToolCalls(input.messages)
) {
tools["_noop"] = tool({
tools["_noop"] = aiTool({
description: "Do not call this tool. It exists only for API compatibility and must never be invoked.",
inputSchema: jsonSchema({
type: "object",
@@ -322,86 +331,141 @@ const live: Layer.Layer<
? (yield* InstanceState.context).project.id
: undefined
return streamText({
onError(error) {
l.error("stream error", {
error,
})
},
async experimental_repairToolCall(failed) {
const lower = failed.toolCall.toolName.toLowerCase()
if (lower !== failed.toolCall.toolName && sortedTools[lower]) {
l.info("repairing tool call", {
tool: failed.toolCall.toolName,
repaired: lower,
const requestHeaders = {
...(input.model.providerID.startsWith("opencode")
? {
...(opencodeProjectID ? { "x-opencode-project": opencodeProjectID } : {}),
"x-opencode-session": input.sessionID,
"x-opencode-request": input.user.id,
"x-opencode-client": flags.client,
"User-Agent": `opencode/${InstallationVersion}`,
}
: {
"x-session-affinity": input.sessionID,
...(input.parentSessionID ? { "x-parent-session-id": input.parentSessionID } : {}),
"User-Agent": `opencode/${InstallationVersion}`,
}),
...input.model.headers,
...headers,
}
if (flags.experimentalNativeLlm) {
const native = LLMNativeRuntime.stream({
model: input.model,
provider: item,
auth: info,
llmClient,
isOpenaiOauth,
system,
messages,
tools: sortedTools,
toolChoice: input.toolChoice,
temperature: params.temperature,
topP: params.topP,
topK: params.topK,
maxOutputTokens: params.maxOutputTokens,
providerOptions: params.options,
headers: requestHeaders,
abort: input.abort,
})
if (native.type === "supported") {
yield* Effect.logInfo("llm runtime selected").pipe(
Effect.annotateLogs({
"llm.runtime": "native",
"llm.provider": input.model.providerID,
"llm.model": input.model.id,
}),
)
return {
type: "native" as const,
stream: native.stream,
}
}
yield* Effect.logInfo("llm runtime selected").pipe(
Effect.annotateLogs({
"llm.runtime": "ai-sdk",
"llm.provider": input.model.providerID,
"llm.model": input.model.id,
"llm.native_unsupported_reason": native.reason,
}),
)
l.info("native runtime unavailable; falling back to ai-sdk", { reason: native.reason })
}
yield* Effect.logInfo("llm runtime selected").pipe(
Effect.annotateLogs({
"llm.runtime": "ai-sdk",
"llm.provider": input.model.providerID,
"llm.model": input.model.id,
}),
)
return {
type: "ai-sdk" as const,
result: streamText({
onError(error) {
l.error("stream error", {
error,
})
},
async experimental_repairToolCall(failed) {
const lower = failed.toolCall.toolName.toLowerCase()
if (lower !== failed.toolCall.toolName && sortedTools[lower]) {
l.info("repairing tool call", {
tool: failed.toolCall.toolName,
repaired: lower,
})
return {
...failed.toolCall,
toolName: lower,
}
}
return {
...failed.toolCall,
toolName: lower,
}
}
return {
...failed.toolCall,
input: JSON.stringify({
tool: failed.toolCall.toolName,
error: failed.error.message,
}),
toolName: "invalid",
}
},
temperature: params.temperature,
topP: params.topP,
topK: params.topK,
providerOptions: ProviderTransform.providerOptions(input.model, params.options),
activeTools: Object.keys(sortedTools).filter((x) => x !== "invalid"),
tools: sortedTools,
toolChoice: input.toolChoice,
maxOutputTokens: params.maxOutputTokens,
abortSignal: input.abort,
headers: {
...(input.model.providerID.startsWith("opencode")
? {
"x-opencode-project": opencodeProjectID,
"x-opencode-session": input.sessionID,
"x-opencode-request": input.user.id,
"x-opencode-client": flags.client,
"User-Agent": `opencode/${InstallationVersion}`,
}
: {
"x-session-affinity": input.sessionID,
...(input.parentSessionID ? { "x-parent-session-id": input.parentSessionID } : {}),
"User-Agent": `opencode/${InstallationVersion}`,
input: JSON.stringify({
tool: failed.toolCall.toolName,
error: failed.error.message,
}),
...input.model.headers,
...headers,
},
maxRetries: input.retries ?? 0,
messages,
model: wrapLanguageModel({
model: language,
middleware: [
{
specificationVersion: "v3" as const,
async transformParams(args) {
if (args.type === "stream") {
// @ts-expect-error
args.params.prompt = ProviderTransform.message(args.params.prompt, input.model, options)
}
return args.params
},
},
],
}),
experimental_telemetry: {
isEnabled: cfg.experimental?.openTelemetry,
functionId: "session.llm",
tracer: telemetryTracer,
metadata: {
userId: cfg.username ?? "unknown",
sessionId: input.sessionID,
toolName: "invalid",
}
},
},
})
temperature: params.temperature,
topP: params.topP,
topK: params.topK,
providerOptions: ProviderTransform.providerOptions(input.model, params.options),
activeTools: Object.keys(sortedTools).filter((x) => x !== "invalid"),
tools: sortedTools,
toolChoice: input.toolChoice,
maxOutputTokens: params.maxOutputTokens,
abortSignal: input.abort,
headers: requestHeaders,
maxRetries: input.retries ?? 0,
messages,
model: wrapLanguageModel({
model: language,
middleware: [
{
specificationVersion: "v3" as const,
async transformParams(args) {
if (args.type === "stream") {
// @ts-expect-error
args.params.prompt = ProviderTransform.message(args.params.prompt, input.model, options)
}
return args.params
},
},
],
}),
experimental_telemetry: {
isEnabled: cfg.experimental?.openTelemetry,
functionId: "session.llm",
tracer: telemetryTracer,
metadata: {
userId: cfg.username ?? "unknown",
sessionId: input.sessionID,
},
},
}),
}
})
const stream: Interface["stream"] = (input) =>
@@ -415,7 +479,15 @@ const live: Layer.Layer<
const result = yield* run({ ...input, abort: ctrl.signal })
return Stream.fromAsyncIterable(result.fullStream, (e) => (e instanceof Error ? e : new Error(String(e))))
if (result.type === "native") return result.stream
const state = LLMAISDK.adapterState()
return Stream.fromAsyncIterable(result.result.fullStream, (e) =>
e instanceof Error ? e : new Error(String(e)),
).pipe(
Stream.mapEffect((event) => LLMAISDK.toLLMEvents(state, event)),
Stream.flatMap((events) => Stream.fromIterable(events)),
)
}),
),
)
@@ -432,6 +504,7 @@ export const defaultLayer = Layer.suspend(() =>
Layer.provide(Config.defaultLayer),
Layer.provide(Provider.defaultLayer),
Layer.provide(Plugin.defaultLayer),
Layer.provide(LLMClient.layer.pipe(Layer.provide(RequestExecutor.defaultLayer))),
Layer.provide(RuntimeFlags.defaultLayer),
),
)