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11 Commits

Author SHA1 Message Date
Aiden Cline 100b2cf308 feat(opencode): route cloudflare ai gateway openai and anthropic models through native passthroughs
Co-authored-by: Keefe Tang <keefe@pentagram.me>
2026-08-14 13:31:13 -05:00
Aiden Cline 387bd55583 Merge branch 'dev' into fix/ai-gateway-scope-token 2026-08-13 22:14:38 -05:00
Aiden Cline 6d635007ab chore(deps): update ai-gateway-provider to 3.2.0 (#42488)
Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com>
2026-08-13 22:08:45 -05:00
opencode-agent[bot] 0e3474509a docs: sort Gemini 3.7 before 3.6 (#42473)
Co-authored-by: Stefan Avram <98915060+Slickstef11@users.noreply.github.com>
2026-08-14 10:24:22 +08:00
Dax d8bf79225f fix(opencode): preserve v1 database compatibility (#42444) 2026-08-14 00:05:15 +00:00
opencode-agent[bot] 8a55ba75b5 chore: generate 2026-08-13 18:57:31 +00:00
Jack 2449581543 fix(go): remove Gemini 3.7 Flash (#42393) 2026-08-14 02:55:24 +08:00
opencode-agent[bot] 3e25e80f7a chore: generate 2026-08-13 18:44:28 +00:00
Jack f06e9491e1 feat(go): add Gemini 3.7 Flash (#42390) 2026-08-14 02:41:12 +08:00
Aiden Cline e261ae1560 Merge branch 'dev' into fix/ai-gateway-scope-token 2026-08-11 23:59:55 -05:00
Keefe Tang 34c64fb45b fix(provider): scope AI Gateway token to first-party Workers AI models
#32052 fixed #32051 (Workers AI 401s) by passing apiKey to createUnified,
but applied it to every model — so the Cloudflare API token was sent as the
upstream Authorization header for third-party providers (OpenAI, Anthropic),
causing them to 401 with "Invalid API Key".

Scope token forwarding to be model-aware: attach the Cloudflare token only
for first-party Workers AI models, whose upstream is Cloudflare itself. The
Unified API addresses Workers AI both as "workers-ai/..." and as bare
"@cf/..." ids, so match both; "@cf/" is Cloudflare's reserved namespace, so
this never matches a third-party model. Other providers receive no upstream
Authorization and fall back to the gateway's stored/BYOK keys. Applied in
both the v1 provider (provider.ts) and v2 plugin
(core/.../cloudflare-ai-gateway.ts) paths.

Tests assert both directions, including that third-party sub-requests carry
no upstream authorization header.

Reapplies and extends the approach from #33407.
2026-06-24 11:52:13 +10:00
38 changed files with 549 additions and 440 deletions
+88 -34
View File
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"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
"ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],
@@ -7419,13 +7451,35 @@
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
"ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
+1 -1
View File
@@ -101,7 +101,7 @@
"@parcel/watcher": "2.5.1",
"@silvia-odwyer/photon-node": "0.3.4",
"@openrouter/ai-sdk-provider": "2.9.0",
"ai-gateway-provider": "3.1.2",
"ai-gateway-provider": "3.2.0",
"bun-pty": "0.4.8",
"cross-spawn": "catalog:",
"diff": "catalog:",
@@ -24,9 +24,15 @@ export const CloudflareAIGatewayPlugin = define({
apiKey: config.apiKey,
options: gatewayOptions(evt.options, metadata),
} as any)
const unified = createUnified({ apiKey: config.apiKey })
evt.sdk = {
languageModel(modelID: string) {
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
// the only one that should receive the Cloudflare token as its upstream Authorization header.
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
// gateway's stored/BYOK keys instead.
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
const unified = createUnified(isWorkersAi ? { apiKey: config.apiKey } : {})
return gateway(unified(modelID))
},
}
-12
View File
@@ -173,18 +173,6 @@ export const buildPrompt = (input: { readonly previousSummary?: string; readonly
].join("\n\n")
}
export const buildReplayPrompt = (previousSummary?: string) => {
const instruction =
"Create a new anchored summary from the conversation messages above so another coding agent can continue the work."
if (!previousSummary) return [instruction, SUMMARY_TEMPLATE].join("\n\n")
return [
instruction,
`Here is the summary of the conversation before the messages above:\n\n<prior-summary>\n${previousSummary}\n</prior-summary>`,
SUMMARY_UPDATE_INSTRUCTIONS,
SUMMARY_TEMPLATE,
].join("\n\n")
}
export const make = (dependencies: Dependencies) => {
const config = settings(dependencies.config)
const compactAfterOverflow = Effect.fn("SessionCompaction.compactAfterOverflow")(function* (input: Input) {
-3
View File
@@ -12,7 +12,6 @@ import { SessionMessage } from "./message"
import { SessionMessageUpdater } from "./message-updater"
import { SessionInput } from "./input"
import { WorkspaceV2 } from "../workspace"
import { SessionContextEpoch } from "./context-epoch"
import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
import type { DeepMutable } from "../schema"
@@ -253,7 +252,6 @@ const layer = Layer.effectDiscard(
.where(eq(SessionTable.id, event.data.sessionID))
.run()
.pipe(Effect.orDie)
yield* SessionContextEpoch.reset(db, event.data.sessionID)
}),
)
yield* events.project(SessionV1.Event.Deleted, (event) =>
@@ -449,7 +447,6 @@ const layer = Layer.effectDiscard(
.where(eq(SessionTable.id, event.data.sessionID))
.run()
.pipe(Effect.orDie)
yield* SessionContextEpoch.reset(db, event.data.sessionID)
}),
)
}),
+35 -1
View File
@@ -1,6 +1,6 @@
import { describe, expect } from "bun:test"
import { DateTime, Effect, Schema } from "effect"
import { asc, eq } from "drizzle-orm"
import { asc, eq, sql } from "drizzle-orm"
import { Database } from "@opencode-ai/core/database/database"
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
@@ -22,6 +22,7 @@ import { SessionInput } from "@opencode-ai/core/session/input"
import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
import { testEffect } from "./lib/effect"
import { Snapshot } from "@opencode-ai/core/snapshot"
import { Location } from "@opencode-ai/core/location"
const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
@@ -44,6 +45,39 @@ const assistantRow = (
}
describe("SessionProjector", () => {
it.effect("projects moved sessions without the transitional context epoch table", () =>
Effect.gen(function* () {
const { db } = yield* Database.Service
const events = yield* EventV2.Service
yield* db
.insert(ProjectTable)
.values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
.run()
yield* db
.insert(SessionTable)
.values({
id: sessionID,
project_id: Project.ID.global,
slug: "test",
directory: "/project",
title: "test",
version: "test",
})
.run()
yield* db.run(sql`DROP TABLE session_context_epoch`)
yield* events.publish(SessionEvent.Moved, {
sessionID,
timestamp: DateTime.makeUnsafe(1),
location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
})
expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
directory: "/project/subdir",
})
}),
)
it.effect("projects staged, cleared, and committed reverts", () =>
Effect.gen(function* () {
const db = (yield* Database.Service).db
@@ -703,13 +703,6 @@ describe("SessionRunnerLLM", () => {
timestamp: DateTime.makeUnsafe(1),
location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
})
expect(
yield* db
.select()
.from(SessionContextEpochTable)
.where(eq(SessionContextEpochTable.session_id, sessionID))
.get(),
).toBeUndefined()
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
const exit = yield* session.resume(sessionID).pipe(Effect.exit)
+1 -1
View File
@@ -111,7 +111,7 @@
"@types/ws": "8.18.1",
"@zip.js/zip.js": "2.7.62",
"ai": "catalog:",
"ai-gateway-provider": "3.1.2",
"ai-gateway-provider": "3.2.0",
"bonjour-service": "1.3.0",
"chokidar": "4.0.3",
"cross-spawn": "catalog:",
+15 -20
View File
@@ -216,6 +216,21 @@ const layer = Layer.effect(
mode: "subagent",
native: true,
},
compaction: {
name: "compaction",
mode: "primary",
native: true,
hidden: true,
prompt: PROMPT_COMPACTION,
permission: Permission.merge(
defaults,
Permission.fromConfig({
"*": "deny",
}),
user,
),
options: {},
},
title: {
name: "title",
mode: "primary",
@@ -255,26 +270,6 @@ const layer = Layer.effect(
continue
}
let item = agents[key]
// The compaction agent is not registered by default: compaction inherits
// the session's active agent so its request stays prefix-identical for
// prompt caching. An explicit `agent.compaction` config opts into the
// legacy dedicated agent, seeded here so overrides merge as before.
if (!item && key === "compaction")
item = agents[key] = {
name: "compaction",
mode: "primary",
native: true,
hidden: true,
prompt: PROMPT_COMPACTION,
permission: Permission.merge(
defaults,
Permission.fromConfig({
"*": "deny",
}),
user,
),
options: {},
}
if (!item)
item = agents[key] = {
name: key,
@@ -714,6 +714,7 @@ const layer = Layer.effect(
})
const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
if (!flags.experimentalWorkspaces) return []
return (yield* db
.select()
.from(WorkspaceTable)
@@ -851,6 +852,7 @@ const layer = Layer.effect(
})
const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
if (!flags.experimentalWorkspaces) return
const rows = yield* db
.selectDistinct({ workspace: WorkspaceTable })
.from(WorkspaceTable)
@@ -61,16 +61,5 @@ export async function CloudflareAIGatewayAuthPlugin(_input: PluginInput): Promis
},
],
},
"chat.params": async (input, output) => {
if (input.model.providerID !== "cloudflare-ai-gateway") return
// The unified gateway routes through @ai-sdk/openai-compatible, which
// always emits max_tokens. OpenAI reasoning models (gpt-5.x, o-series)
// reject that field and require max_completion_tokens instead, and the
// compatible SDK has no way to rename it. Drop the cap so OpenAI falls
// back to the model's default output budget.
if (!input.model.api.id.toLowerCase().startsWith("openai/")) return
if (!input.model.capabilities.reasoning) return
output.maxOutputTokens = undefined
},
}
}
+37 -5
View File
@@ -800,9 +800,10 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
)
}
// Use official ai-gateway-provider package (v2.x for AI SDK v5 compatibility)
const { createAiGateway } = yield* Effect.promise(() => import("ai-gateway-provider"))
const { createUnified } = yield* Effect.promise(() => import("ai-gateway-provider/providers/unified"))
const { createOpenAI } = yield* Effect.promise(() => import("ai-gateway-provider/providers/openai"))
const { createAnthropic } = yield* Effect.promise(() => import("ai-gateway-provider/providers/anthropic"))
const metadata = iife(() => {
if (input.options?.metadata) return input.options.metadata
@@ -829,12 +830,24 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
apiKey: apiToken,
...(Object.values(opts).some((v) => v !== undefined) ? { options: opts } : {}),
})
const unified = createUnified({ apiKey: apiToken })
return {
autoload: true,
async getModel(_sdk: any, modelID: string, _options?: Record<string, any>) {
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5")
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5").
// OpenAI and Anthropic ride their native passthrough routes so agents get the Responses
// and Messages APIs; new OpenAI models reject tools+reasoning_effort on chat completions.
// The passthrough wrappers inject a CF_TEMP_TOKEN sentinel that the gateway strips before
// dispatch, so upstream billing stays on the gateway (Unified Billing / stored BYOK).
if (modelID.startsWith("openai/")) return aigateway(createOpenAI()(modelID.slice("openai/".length)))
if (modelID.startsWith("anthropic/"))
return aigateway(createAnthropic()(modelID.slice("anthropic/".length)))
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
// the only one that should receive the Cloudflare token as its upstream Authorization header.
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
// gateway's stored/BYOK keys instead.
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
const unified = createUnified(isWorkersAi ? { apiKey: apiToken } : {})
return aigateway(unified(modelID))
},
options: {},
@@ -1209,6 +1222,17 @@ function cost(c: ModelsDev.Model["cost"]): Model["cost"] {
return result
}
// Cloudflare AI Gateway routes OpenAI and Anthropic models through their native
// passthrough SDKs (Responses / Messages APIs). Resolving the native npm before
// variants are computed makes reasoning variants produce payloads the native
// SDKs understand (e.g. anthropic `effort` instead of compat `reasoningEffort`).
function cloudflareGatewayNpm(providerID: string, modelID: string) {
if (providerID !== "cloudflare-ai-gateway") return undefined
if (modelID.startsWith("openai/")) return "@ai-sdk/openai"
if (modelID.startsWith("anthropic/")) return "@ai-sdk/anthropic"
return undefined
}
function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model): Model {
const base: Model = {
id: ModelV2.ID.make(model.id),
@@ -1218,7 +1242,11 @@ function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model
api: {
id: model.id,
url: model.provider?.api ?? provider.api ?? "",
npm: model.provider?.npm ?? provider.npm ?? "@ai-sdk/openai-compatible",
npm:
cloudflareGatewayNpm(provider.id, model.id) ??
model.provider?.npm ??
provider.npm ??
"@ai-sdk/openai-compatible",
},
status: model.status ?? "active",
headers: {},
@@ -1440,6 +1468,9 @@ const layer = Layer.effect(
model.provider?.npm ??
provider.npm ??
existingModel?.api.npm ??
// Config-defined gateway models bypass fromModelsDevModel, so resolve the
// native passthrough npm here before falling back to the catalog default.
cloudflareGatewayNpm(providerID, apiID) ??
modelsDev[providerID]?.npm ??
"@ai-sdk/openai-compatible"
const name = iife(() => {
@@ -1619,6 +1650,7 @@ const layer = Layer.effect(
for (const [modelID, model] of Object.entries(provider.models)) {
model.api.id = model.api.id ?? model.id ?? modelID
if (
// These chat aliases are invalid for the special handling in the
// built-in providers below, but custom providers may support them.
+37 -61
View File
@@ -20,7 +20,7 @@ import { RuntimeFlags } from "@/effect/runtime-flags"
import { EventV2Bridge } from "@/event-v2-bridge"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { ModelV2 } from "@opencode-ai/core/model"
import { buildPrompt, buildReplayPrompt } from "@opencode-ai/core/session/compaction"
import { buildPrompt } from "@opencode-ai/core/session/compaction"
import { SessionCompactionEvent } from "@opencode-ai/schema/session-compaction-event"
export const Event = SessionCompactionEvent
@@ -162,15 +162,6 @@ function splitTurn(input: {
})
}
export type Run = (input: {
user: SessionV1.User
agent: Agent.Info
model: Provider.Model
processor: SessionProcessor.Handle
messages: SessionV1.WithParts[]
prompt: string
}) => Effect.Effect<SessionProcessor.Result>
export interface Interface {
readonly isOverflow: (input: {
tokens: SessionV1.Assistant["tokens"]
@@ -183,7 +174,6 @@ export interface Interface {
sessionID: SessionID
auto: boolean
overflow?: boolean
run?: Run
}) => Effect.Effect<"continue" | "stop">
readonly create: (input: {
sessionID: SessionID
@@ -332,7 +322,6 @@ const layer = Layer.effect(
sessionID: SessionID
auto: boolean
overflow?: boolean
run?: Run
}) {
const parent = input.messages.findLast((m) => m.info.id === input.parentID)
if (!parent || parent.info.role !== "user") {
@@ -366,13 +355,11 @@ const layer = Layer.effect(
}
}
const agent = yield* agents.get("compaction")
const model = agent.model
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
const cfg = yield* config.get()
const configured = cfg.agent?.compaction !== undefined
const agent = yield* agents.get(configured ? "compaction" : userMessage.agent)
const model =
configured && agent.model
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
const history = compactionPart && messages.at(-1)?.info.id === input.parentID ? messages.slice(0, -1) : messages
const prior = completedCompactions(history)
const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
@@ -390,16 +377,18 @@ const layer = Layer.effect(
)
const msgs = structuredClone(selected.head)
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
// A configured compaction agent keeps the legacy serialized-transcript path.
const run = configured ? undefined : input.run
const conversation = run ? "" : msgs.map(serialize).filter(Boolean).join("\n\n")
const nextPrompt = [
const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
const nextPrompt =
compacting.prompt ??
(run ? buildReplayPrompt(previousSummary) : buildPrompt({ previousSummary, context: [conversation] })),
...compacting.context,
]
.filter(Boolean)
.join("\n\n")
[
buildPrompt({
previousSummary,
context: [conversation],
}),
...compacting.context,
]
.filter(Boolean)
.join("\n\n")
const ctx = yield* InstanceState.context
const msg: SessionV1.Assistant = {
id: MessageID.ascending(),
@@ -433,43 +422,30 @@ const layer = Layer.effect(
sessionID: input.sessionID,
model,
})
// The synthetic compaction marker carries no per-turn system/tools settings.
const active = msgs.findLast(
(message) => message.info.role === "user" && !message.parts.some((part) => part.type === "compaction"),
)
const result = run
? yield* run({
user: active?.info.role === "user" ? active.info : userMessage,
agent,
model,
processor,
messages: msgs,
prompt: nextPrompt,
})
: yield* processor.process({
user: userMessage,
agent,
sessionID: input.sessionID,
tools: {},
system: [],
messages: [
const result = yield* processor.process({
user: userMessage,
agent,
sessionID: input.sessionID,
tools: {},
system: [],
messages: [
{
role: "user",
content: [
{
role: "user",
content: [
{
type: "text",
text: [
nextPrompt,
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
]
.filter(Boolean)
.join("\n\n"),
},
],
type: "text",
text: [
nextPrompt,
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
]
.filter(Boolean)
.join("\n\n"),
},
],
model,
})
},
],
model,
})
if (result === "compact") {
processor.message.error = new SessionV1.ContextOverflowError({
+46 -66
View File
@@ -149,45 +149,6 @@ const layer = Layer.effect(
} satisfies TaskPromptOps
})
// One assembly path keeps compaction requests prefix-identical to normal turns for prompt caching.
const prepare = Effect.fn("SessionPrompt.prepare")(function* (input: {
session: Session.Info
agent: Agent.Info
model: Provider.Model
processor: SessionProcessor.Handle
messages: SessionV1.WithParts[]
}) {
const lastUserMsg = input.messages.findLast((message) => message.info.role === "user")
const tools = yield* SessionTools.resolve({
agent: input.agent,
session: input.session,
model: input.model,
processor: input.processor,
bypassAgentCheck: lastUserMsg?.parts.some((part) => part.type === "agent") ?? false,
messages: input.messages,
promptOps: yield* ops(),
}).pipe(
Effect.provideService(Plugin.Service, plugin),
Effect.provideService(Permission.Service, permission),
Effect.provideService(ToolRegistry.Service, registry),
Effect.provideService(MCP.Service, mcp),
Effect.provideService(Truncate.Service, truncate),
Effect.provideService(RuntimeFlags.Service, flags),
)
const [skills, env, instructions, mcpInstructions, modelMessages] = yield* Effect.all([
sys.skills(input.agent),
sys.environment(input.model),
instruction.system().pipe(Effect.orDie),
sys.mcp(input.agent, input.session.permission),
MessageV2.toModelMessagesEffect(input.messages, input.model),
])
return {
tools,
modelMessages,
system: [...env, ...instructions, ...(mcpInstructions ? [mcpInstructions] : []), ...(skills ? [skills] : [])],
}
})
const cancel = Effect.fn("SessionPrompt.cancel")(function* (sessionID: SessionID) {
yield* Effect.logInfo("cancel", { "session.id": sessionID })
yield* state.cancel(sessionID)
@@ -1192,21 +1153,6 @@ const layer = Layer.effect(
sessionID,
auto: task.auto,
overflow: task.overflow,
run: ({ user, agent, model, processor, messages, prompt }) =>
Effect.gen(function* () {
const prepared = yield* prepare({ session, agent, model, processor, messages })
return yield* processor.process({
user,
agent,
permission: session.permission,
sessionID,
parentSessionID: session.parentID,
system: prepared.system,
messages: [...prepared.modelMessages, { role: "user", content: prompt }],
tools: prepared.tools,
model,
})
}),
})
if (result === "stop") break
continue
@@ -1273,34 +1219,68 @@ const layer = Layer.effect(
.pipe(Effect.onInterrupt(() => finalizeInterruptedAssistant))
const outcome: "break" | "continue" = yield* Effect.gen(function* () {
if (step === 1)
yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
const lastUserMsg = msgs.findLast((m) => m.info.role === "user")
const bypassAgentCheck = lastUserMsg?.parts.some((p) => p.type === "agent") ?? false
const promptOps = yield* ops()
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
const tools = yield* SessionTools.resolve({
agent,
session,
model,
processor: handle,
bypassAgentCheck,
messages: msgs,
promptOps,
}).pipe(
Effect.provideService(Plugin.Service, plugin),
Effect.provideService(Permission.Service, permission),
Effect.provideService(ToolRegistry.Service, registry),
Effect.provideService(MCP.Service, mcp),
Effect.provideService(Truncate.Service, truncate),
Effect.provideService(RuntimeFlags.Service, flags),
)
const prepared = yield* prepare({ session, agent, model, processor: handle, messages: msgs })
const format = lastUser.format ?? { type: "text" as const }
if (format.type === "json_schema") {
prepared.system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
prepared.tools["StructuredOutput"] = createStructuredOutputTool({
schema: format.schema,
if (lastUser.format?.type === "json_schema") {
tools["StructuredOutput"] = createStructuredOutputTool({
schema: lastUser.format.schema,
onSuccess(output) {
structured = output
},
})
}
if (step === 1)
yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
const [skills, env, instructions, mcpInstructions, modelMsgs] = yield* Effect.all([
sys.skills(agent),
sys.environment(model),
instruction.system().pipe(Effect.orDie),
sys.mcp(agent, session.permission),
MessageV2.toModelMessagesEffect(msgs, model),
])
const system = [
...env,
...instructions,
...(mcpInstructions ? [mcpInstructions] : []),
...(skills ? [skills] : []),
]
const format = lastUser.format ?? { type: "text" as const }
if (format.type === "json_schema") system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
const result = yield* handle.process({
user: lastUser,
agent,
permission: session.permission,
sessionID,
parentSessionID: session.parentID,
system: prepared.system,
system,
messages: [
...prepared.modelMessages,
...modelMsgs,
...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
],
tools: prepared.tools,
tools,
model,
toolChoice: format.type === "json_schema" ? "required" : undefined,
})
+7 -27
View File
@@ -52,7 +52,7 @@ it.instance("returns default native agents when no config", () =>
expect(names).toContain("plan")
expect(names).toContain("general")
expect(names).toContain("explore")
expect(names).not.toContain("compaction")
expect(names).toContain("compaction")
expect(names).toContain("title")
expect(names).toContain("summary")
}),
@@ -170,34 +170,17 @@ it.instance("general agent denies todo tools", () =>
}),
)
it.instance("compaction agent is absent without configuration", () =>
it.instance("compaction agent denies all permissions", () =>
Effect.gen(function* () {
const compaction = yield* load((svc) => svc.get("compaction"))
expect(compaction).toBeUndefined()
expect(compaction).toBeDefined()
expect(compaction?.hidden).toBe(true)
expect(evalPerm(compaction, "bash")).toBe("deny")
expect(evalPerm(compaction, "edit")).toBe("deny")
expect(evalPerm(compaction, "read")).toBe("deny")
}),
)
it.instance(
"configured compaction agent keeps native defaults",
() =>
Effect.gen(function* () {
const compaction = yield* load((svc) => svc.get("compaction"))
expect(compaction).toBeDefined()
expect(compaction?.native).toBe(true)
expect(compaction?.hidden).toBe(true)
expect(evalPerm(compaction, "bash")).toBe("deny")
expect(evalPerm(compaction, "edit")).toBe("deny")
expect(evalPerm(compaction, "read")).toBe("deny")
}),
{
config: {
agent: {
compaction: {},
},
},
},
)
it.instance(
"custom agent from config creates new agent",
() =>
@@ -727,9 +710,6 @@ it.instance(
{
config: {
default_agent: "compaction",
agent: {
compaction: {},
},
},
},
)
@@ -8,6 +8,7 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
import { eq } from "drizzle-orm"
import { GlobalBus, type GlobalEvent } from "@/bus/global"
import { Project } from "@/project/project"
import { Database } from "@opencode-ai/core/database/database"
import { ProjectV2 } from "@opencode-ai/core/project"
import { ProjectTable } from "@opencode-ai/core/project/sql"
@@ -133,6 +134,9 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
)
const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
function captureGlobalEvents() {
const events: GlobalEvent[] = []
const handler = (event: GlobalEvent) => events.push(event)
@@ -417,6 +421,18 @@ describe("workspace CRUD", () => {
{ git: true },
)
it.instance(
"list is disabled by the experimental workspace flag",
() =>
Effect.gen(function* () {
const instance = yield* requireInstance
yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
}),
{ git: true },
)
it.instance(
"create configures, persists, creates, starts local sync, and passes environment",
() =>
@@ -13,56 +13,13 @@ const pluginInput = {
$: {} as never,
}
function makeHookInput(overrides: { providerID?: string; apiId?: string; reasoning?: boolean }) {
return {
sessionID: "s",
agent: "a",
provider: {} as never,
message: {} as never,
model: {
providerID: overrides.providerID ?? "cloudflare-ai-gateway",
api: { id: overrides.apiId ?? "openai/gpt-5.2-codex", url: "", npm: "ai-gateway-provider" },
capabilities: {
reasoning: overrides.reasoning ?? true,
temperature: false,
attachment: true,
toolcall: true,
input: { text: true, audio: false, image: false, video: false, pdf: false },
output: { text: true, audio: false, image: false, video: false, pdf: false },
interleaved: false,
},
} as never,
}
}
function makeHookOutput() {
return { temperature: 0, topP: 1, topK: 0, maxOutputTokens: 32_000 as number | undefined, options: {} }
}
test("omits maxOutputTokens for openai reasoning models on cloudflare-ai-gateway", async () => {
test("registers the cloudflare-ai-gateway auth method", async () => {
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
const out = makeHookOutput()
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-5.2-codex", reasoning: true }), out)
expect(out.maxOutputTokens).toBeUndefined()
expect(hooks.auth?.provider).toBe("cloudflare-ai-gateway")
expect(hooks.auth?.methods).toHaveLength(1)
})
test("keeps maxOutputTokens for openai non-reasoning models", async () => {
test("no longer drops maxOutputTokens; OpenAI models ride the Responses API passthrough", async () => {
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
const out = makeHookOutput()
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-4-turbo", reasoning: false }), out)
expect(out.maxOutputTokens).toBe(32_000)
})
test("keeps maxOutputTokens for non-openai reasoning models on cloudflare-ai-gateway", async () => {
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
const out = makeHookOutput()
await hooks["chat.params"]!(makeHookInput({ apiId: "anthropic/claude-sonnet-4-5", reasoning: true }), out)
expect(out.maxOutputTokens).toBe(32_000)
})
test("ignores non-cloudflare-ai-gateway providers", async () => {
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
const out = makeHookOutput()
await hooks["chat.params"]!(makeHookInput({ providerID: "openai", apiId: "gpt-5.2-codex", reasoning: true }), out)
expect(out.maxOutputTokens).toBe(32_000)
expect(hooks["chat.params"]).toBeUndefined()
})
@@ -1,22 +1,26 @@
// End-to-end regression test for opencode#24432.
// End-to-end regression tests for opencode#24432 and opencode#32051/#32052.
//
// Routes through the actual ai-gateway-provider + @ai-sdk/openai-compatible
// chain that provider.ts:811 builds at runtime, with only the network boundary
// stubbed. Asserts that `reasoning_effort` (and other provider options the
// transform emits) actually land in the body Cloudflare AI Gateway forwards
// upstream, which is the only place the bug was observable.
// Routes through the actual ai-gateway-provider chain that provider.ts builds at
// runtime, with only the network boundary stubbed:
// - openai/* -> native OpenAI passthrough (Responses API)
// - anthropic/* -> native Anthropic passthrough (Messages API)
// - everything else -> unified /compat (openai-compatible chat completions)
// Asserts what actually lands in the envelope body Cloudflare AI Gateway
// forwards upstream, which is the only place these bugs were observable.
import { afterEach, beforeEach, describe, expect, test } from "bun:test"
import type { JSONValue } from "ai"
import { generateText } from "ai"
import { createAiGateway } from "ai-gateway-provider"
import { createUnified } from "ai-gateway-provider/providers/unified"
import { createOpenAI } from "ai-gateway-provider/providers/openai"
import { createAnthropic } from "ai-gateway-provider/providers/anthropic"
import { ProviderTransform } from "@/provider/transform"
import type * as Provider from "@/provider/provider"
import { ProviderV2 } from "@opencode-ai/core/provider"
import { ModelV2 } from "@opencode-ai/core/model"
type Captured = { url: string; outerBody: unknown }
type Captured = { url: string; outerBody: unknown; headers: Record<string, string> }
type ProviderOptions = Record<string, Record<string, JSONValue>>
const realFetch = globalThis.fetch
@@ -26,24 +30,76 @@ function isRecord(value: unknown): value is Record<string, unknown> {
return typeof value === "object" && value !== null && !Array.isArray(value)
}
// The gateway returns the upstream provider's response body verbatim, so the
// mock must answer in the wire format of the step's target provider.
function upstreamResponseBody(provider: string | undefined) {
if (provider === "openai")
return {
id: "resp_test",
object: "response",
created_at: 0,
model: "gpt-5.4",
status: "completed",
error: null,
incomplete_details: null,
output: [
{
type: "message",
role: "assistant",
id: "msg_1",
status: "completed",
content: [{ type: "output_text", text: "ok", annotations: [] }],
},
],
usage: {
input_tokens: 1,
input_tokens_details: { cached_tokens: 0 },
output_tokens: 1,
output_tokens_details: { reasoning_tokens: 0 },
total_tokens: 2,
},
}
if (provider === "anthropic")
return {
id: "msg_test",
type: "message",
role: "assistant",
model: "claude-sonnet-4-6",
content: [{ type: "text", text: "ok" }],
stop_reason: "end_turn",
stop_sequence: null,
usage: { input_tokens: 1, output_tokens: 1 },
}
return {
id: "chatcmpl-test",
object: "chat.completion",
created: 0,
model: "test",
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
}
}
beforeEach(() => {
captured = null
const handle = async (input: Parameters<typeof fetch>[0], init?: Parameters<typeof fetch>[1]): Promise<Response> => {
const url = typeof input === "string" ? input : input instanceof URL ? input.toString() : input.url
if (url.startsWith("https://gateway.ai.cloudflare.com/")) {
const bodyText = typeof init?.body === "string" ? init.body : ""
captured = { url, outerBody: bodyText ? JSON.parse(bodyText) : null }
return new Response(
JSON.stringify({
id: "chatcmpl-test",
object: "chat.completion",
created: 0,
model: "openai/gpt-5.4",
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
}),
{ status: 200, headers: { "Content-Type": "application/json" } },
)
const outerBody = bodyText ? JSON.parse(bodyText) : null
captured = {
url,
outerBody,
headers: Object.fromEntries(new Headers(init?.headers).entries()),
}
const provider =
Array.isArray(outerBody) && isRecord(outerBody[0]) && typeof outerBody[0].provider === "string"
? outerBody[0].provider
: undefined
return new Response(JSON.stringify(upstreamResponseBody(provider)), {
status: 200,
headers: { "Content-Type": "application/json" },
})
}
return realFetch(input, init)
}
@@ -56,11 +112,19 @@ afterEach(() => {
globalThis.fetch = realFetch
})
// Mirrors the runtime npm rewrite in provider.ts: openai/anthropic models carry
// their native SDK package so transforms key provider options correctly.
const cfNpm = (apiId: string) => {
if (apiId.startsWith("openai/")) return "@ai-sdk/openai"
if (apiId.startsWith("anthropic/")) return "@ai-sdk/anthropic"
return "ai-gateway-provider"
}
const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => ({
id: ModelV2.ID.make(`cloudflare-ai-gateway/${apiId}`),
providerID: ProviderV2.ID.make("cloudflare-ai-gateway"),
name: apiId,
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: "ai-gateway-provider" },
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: cfNpm(apiId) },
capabilities: {
reasoning: true,
temperature: false,
@@ -80,53 +144,165 @@ const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => (
// ai-gateway-provider sends an array of step descriptors; each entry's `query`
// is the body forwarded to the upstream provider.
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
function firstStep(body: unknown): Record<string, unknown> | undefined {
if (!Array.isArray(body) || body.length === 0) return undefined
const first = body[0]
if (!isRecord(first)) return undefined
const query = first.query
return isRecord(first) ? first : undefined
}
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
const query = firstStep(body)?.query
return isRecord(query) ? query : undefined
}
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions) {
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: "test" })
const unified = createUnified()
await generateText({ model: aigateway(unified(apiId)), prompt: "hi", providerOptions })
// Each step descriptor also carries the `headers` forwarded to the upstream provider.
function extractUpstreamHeaders(body: unknown): Record<string, unknown> | undefined {
const headers = firstStep(body)?.headers
return isRecord(headers) ? headers : undefined
}
// Mirrors the runtime routing in provider.ts getModel.
function gatewayModel(apiId: string, gatewayToken = "test") {
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: gatewayToken })
if (apiId.startsWith("openai/")) return aigateway(createOpenAI()(apiId.slice("openai/".length)))
if (apiId.startsWith("anthropic/")) return aigateway(createAnthropic()(apiId.slice("anthropic/".length)))
const isWorkersAi = apiId.startsWith("workers-ai/") || apiId.startsWith("@cf/")
const unified = createUnified(isWorkersAi ? { apiKey: gatewayToken } : {})
return aigateway(unified(apiId))
}
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions, gatewayToken = "test") {
await generateText({ model: gatewayModel(apiId, gatewayToken), prompt: "hi", providerOptions })
return extractUpstreamQuery(captured?.outerBody)
}
describe("cf-ai-gateway routing", () => {
test("openai/* rides the native OpenAI passthrough on the Responses API", async () => {
await callThroughGateway("openai/gpt-5.4", {})
const step = firstStep(captured?.outerBody)
expect(step?.provider).toBe("openai")
expect(step?.endpoint).toBe("v1/responses")
const upstream = extractUpstreamQuery(captured?.outerBody)
expect(upstream?.model).toBe("gpt-5.4")
})
test("anthropic/* rides the native Anthropic passthrough on the Messages API", async () => {
await callThroughGateway("anthropic/claude-sonnet-4-6", {})
const step = firstStep(captured?.outerBody)
expect(step?.provider).toBe("anthropic")
expect(step?.endpoint).toBe("v1/messages")
const upstream = extractUpstreamQuery(captured?.outerBody)
expect(upstream?.model).toBe("claude-sonnet-4-6")
})
test("workers-ai models stay on the unified /compat route", async () => {
await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {})
const step = firstStep(captured?.outerBody)
expect(step?.provider).toBe("compat")
expect(step?.endpoint).toBe("chat/completions")
const upstream = extractUpstreamQuery(captured?.outerBody)
expect(upstream?.model).toBe("workers-ai/@cf/moonshotai/kimi-k2.6")
})
})
describe("cf-ai-gateway end-to-end (regression: #24432)", () => {
test("ProviderTransform.providerOptions output puts reasoning_effort on the wire", async () => {
// The full chain the runtime exercises:
// transform.providerOptions() -> openaiCompatible key
// -> @ai-sdk/openai-compatible reads it as compatibleOptions
// -> emits body.reasoning_effort
test("ProviderTransform.providerOptions output puts reasoning effort on the Responses wire", async () => {
// The full chain the runtime exercises for OpenAI models:
// transform.providerOptions() -> "openai" key (npm rewritten to @ai-sdk/openai)
// -> OpenAIResponsesLanguageModel emits body.reasoning.effort
// -> ai-gateway-provider wraps the body and forwards to gateway.ai.cloudflare.com
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), { reasoningEffort: "xhigh" })
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "xhigh" } })
expect(Object.keys(opts)).toEqual(["openai"])
expect(opts.openai.reasoningEffort).toBe("xhigh")
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
expect(upstream?.reasoning_effort).toBe("xhigh")
expect((upstream?.reasoning as Record<string, unknown> | undefined)?.effort).toBe("xhigh")
})
test("variants() output for openai/gpt-5.4 lands xhigh on the wire", async () => {
// The other half of the bug: workflow `variant: xhigh` flows through variants()
// and must reach the wire. variants() returns the providerOptions payload
// unwrapped; providerOptions() wraps it under the SDK key.
// fromModelsDevModel resolves the native npm before computing variants, so
// OpenAI models get full Responses-flavored payloads (summary + encrypted
// reasoning include for stateless multi-turn reasoning).
const variants = ProviderTransform.variants(cfModel("openai/gpt-5.4"))
expect(variants.xhigh).toEqual({ reasoningEffort: "xhigh" })
expect(variants.xhigh).toEqual({
reasoningEffort: "xhigh",
reasoningSummary: "auto",
include: ["reasoning.encrypted_content"],
})
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), variants.xhigh)
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
expect(upstream?.reasoning_effort).toBe("xhigh")
const reasoning = upstream?.reasoning as Record<string, unknown> | undefined
expect(reasoning?.effort).toBe("xhigh")
expect(reasoning?.summary).toBe("auto")
})
test("reasoning effort variants for anthropic models land as native adaptive thinking", async () => {
// Mirrors the runtime catalog path: models.dev reasoning_options -> reasoningVariants
// computed on the native @ai-sdk/anthropic npm -> adaptive thinking + output_config.effort.
const model = cfModel("anthropic/claude-sonnet-4-6")
const variants = ProviderTransform.reasoningVariants(
{ reasoning_options: [{ type: "effort", values: ["low", "medium", "high"] }] } as never,
model,
)
expect(variants?.high).toMatchObject({ effort: "high" })
const opts = ProviderTransform.providerOptions(model, variants!.high)
expect(Object.keys(opts)).toEqual(["anthropic"])
const upstream = await callThroughGateway("anthropic/claude-sonnet-4-6", opts)
expect((upstream?.thinking as Record<string, unknown> | undefined)?.type).toBe("adaptive")
expect((upstream?.output_config as Record<string, unknown> | undefined)?.effort).toBe("high")
})
test("reasoning_effort still reaches the /compat wire for workers-ai models", async () => {
const model = cfModel("workers-ai/@cf/moonshotai/kimi-k2.6")
const opts = ProviderTransform.providerOptions(model, { reasoningEffort: "high" })
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "high" } })
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", opts)
expect(upstream?.reasoning_effort).toBe("high")
})
test("legacy buggy key 'cloudflare-ai-gateway' does NOT reach the wire (proves the bug)", async () => {
// Sanity: confirms the bug class. If a future change accidentally restores
// providerID-keyed providerOptions, this test fails before users notice.
const upstream = await callThroughGateway("openai/gpt-5.4", {
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {
"cloudflare-ai-gateway": { reasoningEffort: "high" },
})
expect(upstream?.reasoning_effort).toBeUndefined()
})
})
describe("cf-ai-gateway token scoping (regression: #32051/#32052)", () => {
test("openai passthrough does NOT forward the Cloudflare token upstream", async () => {
await callThroughGateway("openai/gpt-5.4", {}, "cf-gateway-secret")
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
// Security invariant: the Cloudflare token must never become the upstream provider's Authorization.
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBeUndefined()
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
})
test("anthropic passthrough does NOT forward the Cloudflare token upstream", async () => {
await callThroughGateway("anthropic/claude-sonnet-4-6", {}, "cf-gateway-secret")
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
expect(extractUpstreamHeaders(captured?.outerBody)?.["x-api-key"]).toBeUndefined()
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
})
test("workers-ai models DO forward the Cloudflare token upstream", async () => {
await callThroughGateway("workers-ai/@cf/google/gemma-4-26b-a4b-it", {}, "cf-gateway-secret")
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
})
test("bare @cf/ Workers AI models DO forward the Cloudflare token upstream", async () => {
await callThroughGateway("@cf/meta/llama-3.1-8b-instruct", {}, "cf-gateway-secret")
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
})
})
@@ -222,11 +222,6 @@ function cfg(compaction?: ConfigV1.Info["compaction"]) {
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed({ ...base, compaction }) }))
}
function cfgAgent(agent: NonNullable<ConfigV1.Info["agent"]>) {
const config = Schema.decodeUnknownSync(ConfigV1.Info)({ agent }) as ConfigV1.Info
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed(config) }))
}
const defaultProvider = wide()
const compactionTestNode = LayerNode.group([
SessionCompaction.node,
@@ -817,75 +812,6 @@ describe("session.compaction.prune", () => {
})
describe("session.compaction.process", () => {
itCompaction.instance(
"inherits the last agent when compaction is not configured",
() => {
const stub = llm()
let captured: LLM.StreamInput | undefined
stub.push(reply("summary", (input) => (captured = input)))
return Effect.gen(function* () {
const ssn = yield* SessionNs.Service
const session = yield* ssn.create({})
const msg = yield* createUserMessage(session.id, "hello")
const msgs = yield* ssn.messages({ sessionID: session.id })
yield* SessionCompaction.use.process({
parentID: msg.id,
messages: msgs,
sessionID: session.id,
auto: false,
})
expect(captured?.agent.name).toBe("build")
expect(captured?.agent.prompt).toBe("custom build prompt")
expect(captured?.agent.temperature).toBe(0.37)
expect(String(captured?.model.providerID)).toBe("test")
expect(String(captured?.model.id)).toBe("test-model")
}).pipe(
withCompaction({
llm: stub.llmLayer,
config: cfgAgent({
build: { prompt: "custom build prompt", temperature: 0.37, model: "missing/missing" },
}),
}),
)
},
{ git: true },
)
itCompaction.instance(
"preserves an explicitly configured compaction agent",
() => {
const stub = llm()
let captured: LLM.StreamInput | undefined
stub.push(reply("summary", (input) => (captured = input)))
return Effect.gen(function* () {
const ssn = yield* SessionNs.Service
const session = yield* ssn.create({})
const msg = yield* createUserMessage(session.id, "hello")
const msgs = yield* ssn.messages({ sessionID: session.id })
yield* SessionCompaction.use.process({
parentID: msg.id,
messages: msgs,
sessionID: session.id,
auto: false,
})
expect(captured?.agent.name).toBe("compaction")
expect(captured?.agent.prompt).toBe("custom compaction prompt")
expect(captured?.agent.temperature).toBe(0.81)
expect(captured?.agent.hidden).toBe(true)
}).pipe(
withCompaction({
llm: stub.llmLayer,
config: cfgAgent({ compaction: { prompt: "custom compaction prompt", temperature: 0.81 } }),
}),
)
},
{ git: true },
)
it.instance(
"throws when parent is not a user message",
Effect.gen(function* () {
@@ -444,34 +444,6 @@ const boot = Effect.fn("test.boot")(function* (input?: { title?: string }) {
// Loop semantics
it.instance("default compaction reuses the normal system and tools", () =>
Effect.gen(function* () {
const { llm } = yield* useServerConfig(providerCfg)
const { prompt, chat } = yield* boot()
const compact = yield* SessionCompaction.Service
yield* user(chat.id, "cache prefix message")
yield* llm.text("normal response")
yield* prompt.loop({ sessionID: chat.id })
yield* compact.create({ sessionID: chat.id, agent: "build", model: ref, auto: false })
yield* llm.text("compacted summary")
yield* prompt.loop({ sessionID: chat.id })
const inputs = yield* llm.inputs
expect(inputs).toHaveLength(2)
expect(inputs[1]?.tools).toEqual(inputs[0]?.tools)
const normalMessages = Array.isArray(inputs[0]?.messages) ? inputs[0].messages : []
const compactMessages = Array.isArray(inputs[1]?.messages) ? inputs[1].messages : []
const system = (message: unknown) =>
typeof message === "object" && message !== null && "role" in message && message.role === "system"
expect(compactMessages.find(system)).toEqual(normalMessages.find(system))
expect(JSON.stringify(compactMessages)).toContain("cache prefix message")
expect(JSON.stringify(compactMessages)).toContain("normal response")
expect(JSON.stringify(compactMessages)).toContain("Create a new anchored summary")
expect(JSON.stringify(compactMessages)).not.toContain("[User]: cache prefix message")
}),
)
noLLMServer.instance(
"loop exits immediately when last assistant has stop finish",
() =>
+2
View File
@@ -85,6 +85,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -171,6 +172,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -90,6 +90,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -90,6 +90,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -81,6 +81,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -90,6 +90,7 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -81,6 +81,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -90,6 +90,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
View File
@@ -81,6 +81,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -81,6 +81,7 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -90,6 +90,7 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -90,6 +90,7 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
@@ -81,6 +81,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -90,6 +90,7 @@ OpenCode Zen работает как любой другой провайдер
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -83,6 +83,7 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -169,6 +170,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -81,6 +81,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
+2
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@@ -90,6 +90,7 @@ You can also access our models through the following API endpoints.
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -178,6 +179,7 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
@@ -81,6 +81,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -167,6 +168,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
@@ -85,6 +85,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
@@ -172,6 +173,7 @@ https://opencode.ai/zen/v1/models
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |