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kit/llm-fa
| Author | SHA1 | Date | |
|---|---|---|---|
|
d57adec496 |
@@ -20,13 +20,11 @@ import { Wildcard } from "@/util/wildcard"
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import { SessionID } from "@/session/schema"
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import { Auth } from "@/auth"
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import { Installation } from "@/installation"
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import { makeRuntime } from "@/effect/run-service"
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import * as Option from "effect/Option"
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import * as OtelTracer from "@effect/opentelemetry/Tracer"
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export namespace LLM {
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const log = Log.create({ service: "llm" })
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const perms = makeRuntime(Permission.Service, Permission.defaultLayer)
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export const OUTPUT_TOKEN_MAX = ProviderTransform.OUTPUT_TOKEN_MAX
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type Result = Awaited<ReturnType<typeof streamText>>
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@@ -57,369 +55,370 @@ export namespace LLM {
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export class Service extends Context.Service<Service, Interface>()("@opencode/LLM") {}
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export const layer: Layer.Layer<Service, never, Auth.Service | Config.Service | Provider.Service | Plugin.Service> =
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Layer.effect(
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Service,
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Effect.gen(function* () {
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const auth = yield* Auth.Service
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const config = yield* Config.Service
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const provider = yield* Provider.Service
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const plugin = yield* Plugin.Service
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const live: Layer.Layer<
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Service,
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never,
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Auth.Service | Config.Service | Provider.Service | Plugin.Service | Permission.Service
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> = Layer.effect(
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Service,
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Effect.gen(function* () {
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const auth = yield* Auth.Service
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const config = yield* Config.Service
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const provider = yield* Provider.Service
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const plugin = yield* Plugin.Service
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const perm = yield* Permission.Service
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const run = Effect.fn("LLM.run")(function* (input: StreamRequest) {
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const l = log
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.clone()
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.tag("providerID", input.model.providerID)
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.tag("modelID", input.model.id)
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.tag("sessionID", input.sessionID)
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.tag("small", (input.small ?? false).toString())
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.tag("agent", input.agent.name)
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.tag("mode", input.agent.mode)
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l.info("stream", {
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modelID: input.model.id,
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providerID: input.model.providerID,
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})
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const [language, cfg, item, info] = yield* Effect.all(
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[
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provider.getLanguage(input.model),
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config.get(),
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provider.getProvider(input.model.providerID),
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auth.get(input.model.providerID),
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],
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{ concurrency: "unbounded" },
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)
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// TODO: move this to a proper hook
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const isOpenaiOauth = item.id === "openai" && info?.type === "oauth"
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const system: string[] = []
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system.push(
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[
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// use agent prompt otherwise provider prompt
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...(input.agent.prompt ? [input.agent.prompt] : SystemPrompt.provider(input.model)),
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// any custom prompt passed into this call
|
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...input.system,
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||||
// any custom prompt from last user message
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...(input.user.system ? [input.user.system] : []),
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]
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.filter((x) => x)
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.join("\n"),
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)
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const header = system[0]
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yield* plugin.trigger(
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"experimental.chat.system.transform",
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{ sessionID: input.sessionID, model: input.model },
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{ system },
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)
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// rejoin to maintain 2-part structure for caching if header unchanged
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if (system.length > 2 && system[0] === header) {
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const rest = system.slice(1)
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system.length = 0
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system.push(header, rest.join("\n"))
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}
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|
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const variant =
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!input.small && input.model.variants && input.user.model.variant
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? input.model.variants[input.user.model.variant]
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: {}
|
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const base = input.small
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? ProviderTransform.smallOptions(input.model)
|
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: ProviderTransform.options({
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model: input.model,
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sessionID: input.sessionID,
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providerOptions: item.options,
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})
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const options: Record<string, any> = pipe(
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base,
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mergeDeep(input.model.options),
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mergeDeep(input.agent.options),
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mergeDeep(variant),
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)
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if (isOpenaiOauth) {
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options.instructions = system.join("\n")
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}
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|
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const isWorkflow = language instanceof GitLabWorkflowLanguageModel
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const messages = isOpenaiOauth
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? input.messages
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: isWorkflow
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? input.messages
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: [
|
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...system.map(
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(x): ModelMessage => ({
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role: "system",
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content: x,
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}),
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),
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...input.messages,
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]
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|
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const params = yield* plugin.trigger(
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"chat.params",
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{
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sessionID: input.sessionID,
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agent: input.agent.name,
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model: input.model,
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provider: item,
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message: input.user,
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},
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{
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temperature: input.model.capabilities.temperature
|
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? (input.agent.temperature ?? ProviderTransform.temperature(input.model))
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: undefined,
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topP: input.agent.topP ?? ProviderTransform.topP(input.model),
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topK: ProviderTransform.topK(input.model),
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maxOutputTokens: ProviderTransform.maxOutputTokens(input.model),
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options,
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},
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)
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|
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const { headers } = yield* plugin.trigger(
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"chat.headers",
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{
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sessionID: input.sessionID,
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agent: input.agent.name,
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model: input.model,
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provider: item,
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message: input.user,
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},
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{
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headers: {},
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},
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)
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const tools = resolveTools(input)
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// LiteLLM and some Anthropic proxies require the tools parameter to be present
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// when message history contains tool calls, even if no tools are being used.
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// Add a dummy tool that is never called to satisfy this validation.
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// This is enabled for:
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// 1. Providers with "litellm" in their ID or API ID (auto-detected)
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// 2. Providers with explicit "litellmProxy: true" option (opt-in for custom gateways)
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const isLiteLLMProxy =
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item.options?.["litellmProxy"] === true ||
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input.model.providerID.toLowerCase().includes("litellm") ||
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input.model.api.id.toLowerCase().includes("litellm")
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// LiteLLM/Bedrock rejects requests where the message history contains tool
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// calls but no tools param is present. When there are no active tools (e.g.
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// during compaction), inject a stub tool to satisfy the validation requirement.
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// The stub description explicitly tells the model not to call it.
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if (
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(isLiteLLMProxy || input.model.providerID.includes("github-copilot")) &&
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Object.keys(tools).length === 0 &&
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hasToolCalls(input.messages)
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) {
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tools["_noop"] = tool({
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description: "Do not call this tool. It exists only for API compatibility and must never be invoked.",
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inputSchema: jsonSchema({
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type: "object",
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properties: {
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reason: { type: "string", description: "Unused" },
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},
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}),
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execute: async () => ({ output: "", title: "", metadata: {} }),
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})
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}
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// Wire up toolExecutor for DWS workflow models so that tool calls
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// from the workflow service are executed via opencode's tool system
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// and results sent back over the WebSocket.
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if (language instanceof GitLabWorkflowLanguageModel) {
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const workflowModel = language as GitLabWorkflowLanguageModel & {
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sessionID?: string
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sessionPreapprovedTools?: string[]
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approvalHandler?: (approvalTools: { name: string; args: string }[]) => Promise<{ approved: boolean }>
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}
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workflowModel.sessionID = input.sessionID
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workflowModel.systemPrompt = system.join("\n")
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workflowModel.toolExecutor = async (toolName, argsJson, _requestID) => {
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const t = tools[toolName]
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if (!t || !t.execute) {
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return { result: "", error: `Unknown tool: ${toolName}` }
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}
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try {
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const result = await t.execute!(JSON.parse(argsJson), {
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toolCallId: _requestID,
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messages: input.messages,
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abortSignal: input.abort,
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})
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const output = typeof result === "string" ? result : (result?.output ?? JSON.stringify(result))
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return {
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result: output,
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metadata: typeof result === "object" ? result?.metadata : undefined,
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title: typeof result === "object" ? result?.title : undefined,
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}
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} catch (e: any) {
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return { result: "", error: e.message ?? String(e) }
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}
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}
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const ruleset = Permission.merge(input.agent.permission ?? [], input.permission ?? [])
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workflowModel.sessionPreapprovedTools = Object.keys(tools).filter((name) => {
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const match = ruleset.findLast((rule) => Wildcard.match(name, rule.permission))
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return !match || match.action !== "ask"
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})
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const approvedToolsForSession = new Set<string>()
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workflowModel.approvalHandler = Instance.bind(async (approvalTools) => {
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const uniqueNames = [...new Set(approvalTools.map((t: { name: string }) => t.name))] as string[]
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// Auto-approve tools that were already approved in this session
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// (prevents infinite approval loops for server-side MCP tools)
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if (uniqueNames.every((name) => approvedToolsForSession.has(name))) {
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return { approved: true }
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}
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const id = PermissionID.ascending()
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let reply: Permission.Reply | undefined
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let unsub: (() => void) | undefined
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try {
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unsub = Bus.subscribe(Permission.Event.Replied, (evt) => {
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if (evt.properties.requestID === id) reply = evt.properties.reply
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})
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const toolPatterns = approvalTools.map((t: { name: string; args: string }) => {
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try {
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const parsed = JSON.parse(t.args) as Record<string, unknown>
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const title = (parsed?.title ?? parsed?.name ?? "") as string
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return title ? `${t.name}: ${title}` : t.name
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} catch {
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return t.name
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||||
}
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})
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const uniquePatterns = [...new Set(toolPatterns)] as string[]
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await perms.runPromise((svc) =>
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svc.ask({
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id,
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sessionID: SessionID.make(input.sessionID),
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permission: "workflow_tool_approval",
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patterns: uniquePatterns,
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metadata: { tools: approvalTools },
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always: uniquePatterns,
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ruleset: [],
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||||
}),
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)
|
||||
for (const name of uniqueNames) approvedToolsForSession.add(name)
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workflowModel.sessionPreapprovedTools = [
|
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...(workflowModel.sessionPreapprovedTools ?? []),
|
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...uniqueNames,
|
||||
]
|
||||
return { approved: true }
|
||||
} catch {
|
||||
return { approved: false }
|
||||
} finally {
|
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unsub?.()
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
const tracer = cfg.experimental?.openTelemetry
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? Option.getOrUndefined(yield* Effect.serviceOption(OtelTracer.OtelTracer))
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: undefined
|
||||
|
||||
return streamText({
|
||||
onError(error) {
|
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l.error("stream error", {
|
||||
error,
|
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})
|
||||
},
|
||||
async experimental_repairToolCall(failed) {
|
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const lower = failed.toolCall.toolName.toLowerCase()
|
||||
if (lower !== failed.toolCall.toolName && tools[lower]) {
|
||||
l.info("repairing tool call", {
|
||||
tool: failed.toolCall.toolName,
|
||||
repaired: 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(tools).filter((x) => x !== "invalid"),
|
||||
tools,
|
||||
toolChoice: input.toolChoice,
|
||||
maxOutputTokens: params.maxOutputTokens,
|
||||
abortSignal: input.abort,
|
||||
headers: {
|
||||
...(input.model.providerID.startsWith("opencode")
|
||||
? {
|
||||
"x-opencode-project": Instance.project.id,
|
||||
"x-opencode-session": input.sessionID,
|
||||
"x-opencode-request": input.user.id,
|
||||
"x-opencode-client": Flag.OPENCODE_CLIENT,
|
||||
}
|
||||
: {
|
||||
"x-session-affinity": input.sessionID,
|
||||
...(input.parentSessionID ? { "x-parent-session-id": input.parentSessionID } : {}),
|
||||
"User-Agent": `opencode/${Installation.VERSION}`,
|
||||
}),
|
||||
...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,
|
||||
metadata: {
|
||||
userId: cfg.username ?? "unknown",
|
||||
sessionId: input.sessionID,
|
||||
},
|
||||
},
|
||||
})
|
||||
const run = Effect.fn("LLM.run")(function* (input: StreamRequest) {
|
||||
const l = log
|
||||
.clone()
|
||||
.tag("providerID", input.model.providerID)
|
||||
.tag("modelID", input.model.id)
|
||||
.tag("sessionID", input.sessionID)
|
||||
.tag("small", (input.small ?? false).toString())
|
||||
.tag("agent", input.agent.name)
|
||||
.tag("mode", input.agent.mode)
|
||||
l.info("stream", {
|
||||
modelID: input.model.id,
|
||||
providerID: input.model.providerID,
|
||||
})
|
||||
|
||||
const stream: Interface["stream"] = (input) =>
|
||||
Stream.scoped(
|
||||
Stream.unwrap(
|
||||
Effect.gen(function* () {
|
||||
const ctrl = yield* Effect.acquireRelease(
|
||||
Effect.sync(() => new AbortController()),
|
||||
(ctrl) => Effect.sync(() => ctrl.abort()),
|
||||
)
|
||||
const [language, cfg, item, info] = yield* Effect.all(
|
||||
[
|
||||
provider.getLanguage(input.model),
|
||||
config.get(),
|
||||
provider.getProvider(input.model.providerID),
|
||||
auth.get(input.model.providerID),
|
||||
],
|
||||
{ concurrency: "unbounded" },
|
||||
)
|
||||
|
||||
const result = yield* run({ ...input, abort: ctrl.signal })
|
||||
// TODO: move this to a proper hook
|
||||
const isOpenaiOauth = item.id === "openai" && info?.type === "oauth"
|
||||
|
||||
return Stream.fromAsyncIterable(result.fullStream, (e) =>
|
||||
e instanceof Error ? e : new Error(String(e)),
|
||||
)
|
||||
const system: string[] = []
|
||||
system.push(
|
||||
[
|
||||
// use agent prompt otherwise provider prompt
|
||||
...(input.agent.prompt ? [input.agent.prompt] : SystemPrompt.provider(input.model)),
|
||||
// any custom prompt passed into this call
|
||||
...input.system,
|
||||
// any custom prompt from last user message
|
||||
...(input.user.system ? [input.user.system] : []),
|
||||
]
|
||||
.filter((x) => x)
|
||||
.join("\n"),
|
||||
)
|
||||
|
||||
const header = system[0]
|
||||
yield* plugin.trigger(
|
||||
"experimental.chat.system.transform",
|
||||
{ sessionID: input.sessionID, model: input.model },
|
||||
{ system },
|
||||
)
|
||||
// rejoin to maintain 2-part structure for caching if header unchanged
|
||||
if (system.length > 2 && system[0] === header) {
|
||||
const rest = system.slice(1)
|
||||
system.length = 0
|
||||
system.push(header, rest.join("\n"))
|
||||
}
|
||||
|
||||
const variant =
|
||||
!input.small && input.model.variants && input.user.model.variant
|
||||
? input.model.variants[input.user.model.variant]
|
||||
: {}
|
||||
const base = input.small
|
||||
? ProviderTransform.smallOptions(input.model)
|
||||
: ProviderTransform.options({
|
||||
model: input.model,
|
||||
sessionID: input.sessionID,
|
||||
providerOptions: item.options,
|
||||
})
|
||||
const options: Record<string, any> = pipe(
|
||||
base,
|
||||
mergeDeep(input.model.options),
|
||||
mergeDeep(input.agent.options),
|
||||
mergeDeep(variant),
|
||||
)
|
||||
if (isOpenaiOauth) {
|
||||
options.instructions = system.join("\n")
|
||||
}
|
||||
|
||||
const isWorkflow = language instanceof GitLabWorkflowLanguageModel
|
||||
const messages = isOpenaiOauth
|
||||
? input.messages
|
||||
: isWorkflow
|
||||
? input.messages
|
||||
: [
|
||||
...system.map(
|
||||
(x): ModelMessage => ({
|
||||
role: "system",
|
||||
content: x,
|
||||
}),
|
||||
),
|
||||
...input.messages,
|
||||
]
|
||||
|
||||
const params = yield* plugin.trigger(
|
||||
"chat.params",
|
||||
{
|
||||
sessionID: input.sessionID,
|
||||
agent: input.agent.name,
|
||||
model: input.model,
|
||||
provider: item,
|
||||
message: input.user,
|
||||
},
|
||||
{
|
||||
temperature: input.model.capabilities.temperature
|
||||
? (input.agent.temperature ?? ProviderTransform.temperature(input.model))
|
||||
: undefined,
|
||||
topP: input.agent.topP ?? ProviderTransform.topP(input.model),
|
||||
topK: ProviderTransform.topK(input.model),
|
||||
maxOutputTokens: ProviderTransform.maxOutputTokens(input.model),
|
||||
options,
|
||||
},
|
||||
)
|
||||
|
||||
const { headers } = yield* plugin.trigger(
|
||||
"chat.headers",
|
||||
{
|
||||
sessionID: input.sessionID,
|
||||
agent: input.agent.name,
|
||||
model: input.model,
|
||||
provider: item,
|
||||
message: input.user,
|
||||
},
|
||||
{
|
||||
headers: {},
|
||||
},
|
||||
)
|
||||
|
||||
const tools = resolveTools(input)
|
||||
|
||||
// LiteLLM and some Anthropic proxies require the tools parameter to be present
|
||||
// when message history contains tool calls, even if no tools are being used.
|
||||
// Add a dummy tool that is never called to satisfy this validation.
|
||||
// This is enabled for:
|
||||
// 1. Providers with "litellm" in their ID or API ID (auto-detected)
|
||||
// 2. Providers with explicit "litellmProxy: true" option (opt-in for custom gateways)
|
||||
const isLiteLLMProxy =
|
||||
item.options?.["litellmProxy"] === true ||
|
||||
input.model.providerID.toLowerCase().includes("litellm") ||
|
||||
input.model.api.id.toLowerCase().includes("litellm")
|
||||
|
||||
// LiteLLM/Bedrock rejects requests where the message history contains tool
|
||||
// calls but no tools param is present. When there are no active tools (e.g.
|
||||
// during compaction), inject a stub tool to satisfy the validation requirement.
|
||||
// The stub description explicitly tells the model not to call it.
|
||||
if (
|
||||
(isLiteLLMProxy || input.model.providerID.includes("github-copilot")) &&
|
||||
Object.keys(tools).length === 0 &&
|
||||
hasToolCalls(input.messages)
|
||||
) {
|
||||
tools["_noop"] = tool({
|
||||
description: "Do not call this tool. It exists only for API compatibility and must never be invoked.",
|
||||
inputSchema: jsonSchema({
|
||||
type: "object",
|
||||
properties: {
|
||||
reason: { type: "string", description: "Unused" },
|
||||
},
|
||||
}),
|
||||
execute: async () => ({ output: "", title: "", metadata: {} }),
|
||||
})
|
||||
}
|
||||
|
||||
// Wire up toolExecutor for DWS workflow models so that tool calls
|
||||
// from the workflow service are executed via opencode's tool system
|
||||
// and results sent back over the WebSocket.
|
||||
if (language instanceof GitLabWorkflowLanguageModel) {
|
||||
const workflowModel = language as GitLabWorkflowLanguageModel & {
|
||||
sessionID?: string
|
||||
sessionPreapprovedTools?: string[]
|
||||
approvalHandler?: (approvalTools: { name: string; args: string }[]) => Promise<{ approved: boolean }>
|
||||
}
|
||||
workflowModel.sessionID = input.sessionID
|
||||
workflowModel.systemPrompt = system.join("\n")
|
||||
workflowModel.toolExecutor = async (toolName, argsJson, _requestID) => {
|
||||
const t = tools[toolName]
|
||||
if (!t || !t.execute) {
|
||||
return { result: "", error: `Unknown tool: ${toolName}` }
|
||||
}
|
||||
try {
|
||||
const result = await t.execute!(JSON.parse(argsJson), {
|
||||
toolCallId: _requestID,
|
||||
messages: input.messages,
|
||||
abortSignal: input.abort,
|
||||
})
|
||||
const output = typeof result === "string" ? result : (result?.output ?? JSON.stringify(result))
|
||||
return {
|
||||
result: output,
|
||||
metadata: typeof result === "object" ? result?.metadata : undefined,
|
||||
title: typeof result === "object" ? result?.title : undefined,
|
||||
}
|
||||
} catch (e: any) {
|
||||
return { result: "", error: e.message ?? String(e) }
|
||||
}
|
||||
}
|
||||
|
||||
const ruleset = Permission.merge(input.agent.permission ?? [], input.permission ?? [])
|
||||
workflowModel.sessionPreapprovedTools = Object.keys(tools).filter((name) => {
|
||||
const match = ruleset.findLast((rule) => Wildcard.match(name, rule.permission))
|
||||
return !match || match.action !== "ask"
|
||||
})
|
||||
|
||||
const approvedToolsForSession = new Set<string>()
|
||||
workflowModel.approvalHandler = Instance.bind(async (approvalTools) => {
|
||||
const uniqueNames = [...new Set(approvalTools.map((t: { name: string }) => t.name))] as string[]
|
||||
// Auto-approve tools that were already approved in this session
|
||||
// (prevents infinite approval loops for server-side MCP tools)
|
||||
if (uniqueNames.every((name) => approvedToolsForSession.has(name))) {
|
||||
return { approved: true }
|
||||
}
|
||||
|
||||
const id = PermissionID.ascending()
|
||||
let reply: Permission.Reply | undefined
|
||||
let unsub: (() => void) | undefined
|
||||
try {
|
||||
unsub = Bus.subscribe(Permission.Event.Replied, (evt) => {
|
||||
if (evt.properties.requestID === id) reply = evt.properties.reply
|
||||
})
|
||||
const toolPatterns = approvalTools.map((t: { name: string; args: string }) => {
|
||||
try {
|
||||
const parsed = JSON.parse(t.args) as Record<string, unknown>
|
||||
const title = (parsed?.title ?? parsed?.name ?? "") as string
|
||||
return title ? `${t.name}: ${title}` : t.name
|
||||
} catch {
|
||||
return t.name
|
||||
}
|
||||
})
|
||||
const uniquePatterns = [...new Set(toolPatterns)] as string[]
|
||||
await Effect.runPromise(
|
||||
perm.ask({
|
||||
id,
|
||||
sessionID: SessionID.make(input.sessionID),
|
||||
permission: "workflow_tool_approval",
|
||||
patterns: uniquePatterns,
|
||||
metadata: { tools: approvalTools },
|
||||
always: uniquePatterns,
|
||||
ruleset: [],
|
||||
}),
|
||||
)
|
||||
for (const name of uniqueNames) approvedToolsForSession.add(name)
|
||||
workflowModel.sessionPreapprovedTools = [...(workflowModel.sessionPreapprovedTools ?? []), ...uniqueNames]
|
||||
return { approved: true }
|
||||
} catch {
|
||||
return { approved: false }
|
||||
} finally {
|
||||
unsub?.()
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
const tracer = cfg.experimental?.openTelemetry
|
||||
? Option.getOrUndefined(yield* Effect.serviceOption(OtelTracer.OtelTracer))
|
||||
: 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 && tools[lower]) {
|
||||
l.info("repairing tool call", {
|
||||
tool: failed.toolCall.toolName,
|
||||
repaired: 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(tools).filter((x) => x !== "invalid"),
|
||||
tools,
|
||||
toolChoice: input.toolChoice,
|
||||
maxOutputTokens: params.maxOutputTokens,
|
||||
abortSignal: input.abort,
|
||||
headers: {
|
||||
...(input.model.providerID.startsWith("opencode")
|
||||
? {
|
||||
"x-opencode-project": Instance.project.id,
|
||||
"x-opencode-session": input.sessionID,
|
||||
"x-opencode-request": input.user.id,
|
||||
"x-opencode-client": Flag.OPENCODE_CLIENT,
|
||||
}
|
||||
: {
|
||||
"x-session-affinity": input.sessionID,
|
||||
...(input.parentSessionID ? { "x-parent-session-id": input.parentSessionID } : {}),
|
||||
"User-Agent": `opencode/${Installation.VERSION}`,
|
||||
}),
|
||||
...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,
|
||||
metadata: {
|
||||
userId: cfg.username ?? "unknown",
|
||||
sessionId: input.sessionID,
|
||||
},
|
||||
},
|
||||
})
|
||||
})
|
||||
|
||||
return Service.of({ stream })
|
||||
}),
|
||||
)
|
||||
const stream: Interface["stream"] = (input) =>
|
||||
Stream.scoped(
|
||||
Stream.unwrap(
|
||||
Effect.gen(function* () {
|
||||
const ctrl = yield* Effect.acquireRelease(
|
||||
Effect.sync(() => new AbortController()),
|
||||
(ctrl) => Effect.sync(() => ctrl.abort()),
|
||||
)
|
||||
|
||||
const result = yield* run({ ...input, abort: ctrl.signal })
|
||||
|
||||
return Stream.fromAsyncIterable(result.fullStream, (e) => (e instanceof Error ? e : new Error(String(e))))
|
||||
}),
|
||||
),
|
||||
)
|
||||
|
||||
return Service.of({ stream })
|
||||
}),
|
||||
)
|
||||
|
||||
export const layer = live.pipe(Layer.provide(Permission.defaultLayer))
|
||||
|
||||
export const defaultLayer = Layer.suspend(() =>
|
||||
layer.pipe(
|
||||
|
||||
Reference in New Issue
Block a user