docs: fix provider display name and PAT typos (#42034)

Co-authored-by: skyzhao1223 <skyzhao1223@users.noreply.github.com>

infra/stats.ts

@@ -181,6 +181,16 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
   },
 })
 
+const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
+const r2Sql = new sst.Linkable("R2Sql", {
+  properties: {
+    accountId: "15d29c8639fd3733b1b5486a2acfd968",
+    bucket: `platform-${$app.stage}-lake`,
+    namespace: "inference",
+    table: "generation",
+  },
+})
+
 export const statSync = new sst.aws.Service("StatsSyncService", {
   cluster: lakeCluster,
   architecture: "arm64",
@@ -193,7 +203,9 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
     dockerfile: "packages/stats/server/Dockerfile",
   },
   command: ["bun", "src/stat-sync.ts"],
-  link: [database, inferenceEvent, statsSyncConfig],
+  // Keep the legacy Athena link and IAM permissions during the first R2-backed
+  // release so reverting the application code remains a one-deploy rollback.
+  link: [database, inferenceEvent, r2Sql, r2SqlAuthToken, statsSyncConfig],
   permissions: lakeQueryPermissions,
   scaling: {
     min: 1,

packages/core/src/plugin/agent.ts

@@ -30,11 +30,15 @@ Guidelines:
 
 Complete the user's search request efficiently and report your findings clearly.`
 
-const PROMPT_COMPACTION = `You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
+const PROMPT_COMPACTION = `You are an anchored context summarization assistant for coding sessions.
+
+Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
+
+If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
 
 Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
 
-Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.`
+Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.`
 
 const PROMPT_TITLE = `You are a title generator. You output ONLY a thread title. Nothing else.
 

packages/core/src/session/compaction.ts

@@ -44,14 +44,6 @@ Rules:
 - Use terse bullets, not prose paragraphs.
 - Preserve exact file paths, symbols, commands, error strings, URLs, and identifiers when known.
 - Do not mention the summary process or that context was compacted.`
-const SUMMARY_UPDATE_INSTRUCTIONS = `Update the existing anchored summary with the new information.
-
-When updating:
-- Preserve all information from the <prior-summary> unless the new conversation shows that it is inaccurate, superseded, or no longer applicable.
-- Add new progress, decisions, constraints, and context from the conversation.
-- Move completed work from "Active" to "Completed".
-- If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.
-- Update "Objective" and "Next Move" to reflect the current work state.`
 
 type Entry = {
   readonly seq: number
@@ -166,22 +158,14 @@ const select = (
   }
 }
 
-export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
-  const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
-  if (!input.previousSummary)
-    return [
-      conversation,
-      "Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
-      SUMMARY_TEMPLATE,
-    ].join("\n\n")
-  return [
-    conversation,
-    `Here is the previous summary:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
-    "The <conversation> tags above contain new conversation history to incorporate into the existing summary in the <prior-summary> tags.",
-    SUMMARY_UPDATE_INSTRUCTIONS,
+export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) =>
+  [
+    input.previousSummary
+      ? `Update the anchored summary below using the conversation history above.\nPreserve still-true details, remove stale details, and merge in the new facts.\n<previous-summary>\n${input.previousSummary}\n</previous-summary>`
+      : "Create a new anchored summary from the conversation history.",
     SUMMARY_TEMPLATE,
+    ...input.context,
   ].join("\n\n")
-}
 
 export const make = (dependencies: Dependencies) => {
   const config = settings(dependencies.config)

packages/core/test/session-compaction.test.ts

@@ -4,33 +4,12 @@ import { SessionCompaction } from "@opencode-ai/core/session/compaction"
 test("compaction prompt preserves detailed work state and relevant files", () => {
   const prompt = SessionCompaction.buildPrompt({ context: ["conversation history"] })
 
-  expect(prompt).toStartWith(
-    "Here is the conversation so far:\n\n<conversation>\nconversation history\n</conversation>",
-  )
-  expect(prompt.indexOf("</conversation>")).toBeLessThan(prompt.indexOf("Create a new anchored summary"))
-  expect(prompt).toContain("conversation history in the <conversation> tags above")
   expect(prompt).toContain("## Work State\n### Completed")
   expect(prompt).toContain("### Active")
   expect(prompt).toContain("### Blocked")
   expect(prompt).toContain("## Relevant Files")
 })
 
-test("compaction prompt gives explicit update instructions for a prior summary", () => {
-  const prompt = SessionCompaction.buildPrompt({
-    context: ["new conversation"],
-    previousSummary: "existing summary",
-  })
-
-  expect(prompt.indexOf("<conversation>")).toBeLessThan(prompt.indexOf("<prior-summary>"))
-  expect(prompt.indexOf("<prior-summary>")).toBeLessThan(prompt.indexOf("When updating:"))
-  expect(prompt).toContain(
-    "Preserve all information from the <prior-summary> unless the new conversation shows that it is inaccurate, superseded, or no longer applicable.",
-  )
-  expect(prompt).toContain(
-    "If a blocker has been resolved, update the summary to reflect that while keeping any details still needed to continue the work.",
-  )
-})
-
 test("compaction describes tool media without embedding base64", () => {
   const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAAB"
   const serialized = SessionCompaction.serializeToolContent([

packages/core/test/session-runner.test.ts

@@ -1135,7 +1135,7 @@ describe("SessionRunnerLLM", () => {
 
       expect(requests).toHaveLength(2)
       expect(userTexts(requests[0])[0]).toContain(
-        "<prior-summary>\n## Objective\n- Preserve the task\n</prior-summary>",
+        "<previous-summary>\n## Objective\n- Preserve the task\n</previous-summary>",
       )
       expect(userTexts(requests[0])[0]).toContain("Recent exact request")
       expect((yield* (yield* SessionStore.Service).context(sessionID))[0]).toMatchObject({

packages/opencode/src/agent/prompt/compaction.txt

@@ -1,5 +1,9 @@
-You are a context summarization agent. You are given a conversation between a user and an agent. Your goal is to produce a structured summary matching the format specified so another coding agent can continue the work.
+You are an anchored context summarization assistant for coding sessions.
+
+Summarize only the conversation history you are given. The newest turns may be kept verbatim outside your summary, so focus on the older context that still matters for continuing the work.
+
+If the prompt includes a <previous-summary> block, treat it as the current anchored summary. Update it with the new history by preserving still-true details, removing stale details, and merging in new facts.
 
 Always follow the exact output structure requested by the user prompt. Keep every section, preserve exact file paths and identifiers when known, and prefer terse bullets over paragraphs.
 
-Do not continue the conversation. Do not respond to any questions in the conversation. Only output the structured summary in the exact format requested by the user prompt. Respond in the same language as the conversation.
+Do not answer the conversation itself. Do not mention that you are summarizing, compacting, or merging context. Respond in the same language as the conversation.

packages/opencode/src/provider/transform.ts

@@ -84,6 +84,8 @@ function sdkKey(npm: string): string | undefined {
       return "gateway"
     case "@openrouter/ai-sdk-provider":
       return "openrouter"
+    case "merge-gateway-ai-sdk-provider":
+      return "mergeGateway"
     case "ai-gateway-provider":
       // ai-gateway-provider/unified wraps createOpenAICompatible({ name: "Unified" }),
       // and @ai-sdk/openai-compatible parses compatibleOptions from one of
@@ -1772,6 +1774,7 @@ function reasoningEffort(model: Provider.Model, effort: string) {
     case "@ai-sdk/togetherai":
     case "venice-ai-sdk-provider":
     case "ai-gateway-provider":
+    case "merge-gateway-ai-sdk-provider":
       return { reasoningEffort: effort }
     case "@ai-sdk/cohere":
     case "@ai-sdk/perplexity":

packages/opencode/src/session/compaction.ts

@@ -381,20 +381,10 @@ const layer = Layer.effect(
         { sessionID: input.sessionID },
         { context: [], prompt: undefined },
       )
+      const nextPrompt = compacting.prompt ?? buildPrompt({ previousSummary, context: compacting.context })
       const msgs = structuredClone(selected.head)
       yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
       const conversation = msgs.map(serialize).filter(Boolean).join("\n\n")
-      const nextPrompt =
-        compacting.prompt ??
-        [
-          buildPrompt({
-            previousSummary,
-            context: [conversation],
-          }),
-          ...compacting.context,
-        ]
-          .filter(Boolean)
-          .join("\n\n")
       const ctx = yield* InstanceState.context
       const msg: SessionV1.Assistant = {
         id: MessageID.ascending(),
@@ -440,10 +430,7 @@ const layer = Layer.effect(
             content: [
               {
                 type: "text",
-                text: [
-                  nextPrompt,
-                  ...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
-                ]
+                text: [nextPrompt, "The following is the conversation history:", conversation]
                   .filter(Boolean)
                   .join("\n\n"),
               },

packages/opencode/test/provider/provider.test.ts

@@ -1548,6 +1548,33 @@ test("models.dev reasoning options replace generated variants and unsupported to
   expect(models["gemini-3-pro-fast"].variants).toEqual(models.override.variants)
 })
 
+test("MERGE Gateway exposes declared effort variants without model-specific handling", () => {
+  const provider = {
+    id: "merge-gateway",
+    name: "MERGE Gateway",
+    env: ["MERGE_GATEWAY_API_KEY"],
+    npm: "merge-gateway-ai-sdk-provider",
+    models: {
+      "openai/gpt-5.6-sol": {
+        id: "openai/gpt-5.6-sol",
+        name: "GPT-5.6 Sol",
+        reasoning: true,
+        reasoning_options: [{ type: "effort", values: ["none", "low", "medium", "high", "xhigh", "max"] }],
+        limit: { context: 128_000, output: 64_000 },
+      },
+    },
+  } as unknown as ModelsDev.Provider
+
+  expect(Provider.fromModelsDevProvider(provider).models["openai/gpt-5.6-sol"].variants).toEqual({
+    none: { reasoningEffort: "none" },
+    low: { reasoningEffort: "low" },
+    medium: { reasoningEffort: "medium" },
+    high: { reasoningEffort: "high" },
+    xhigh: { reasoningEffort: "xhigh" },
+    max: { reasoningEffort: "max" },
+  })
+})
+
 test("public provider info omits invalid models", () => {
   const provider = Provider.fromModelsDevProvider({
     id: "test",

packages/opencode/test/provider/transform.test.ts

@@ -3370,6 +3370,7 @@ describe("ProviderTransform.reasoningVariants", () => {
     ["@ai-sdk/togetherai", { reasoningEffort: "high" }],
     ["venice-ai-sdk-provider", { reasoningEffort: "high" }],
     ["ai-gateway-provider", { reasoningEffort: "high" }],
+    ["merge-gateway-ai-sdk-provider", { reasoningEffort: "high" }],
     ["@ai-sdk/amazon-bedrock", { reasoningConfig: { type: "enabled", maxReasoningEffort: "high" } }],
   ])("converts effort for %s", (npm, expected, ...args) => {
     const id = args[0] as string | undefined
@@ -5555,6 +5556,25 @@ describe("ProviderTransform.providerOptions - ai-gateway-provider", () => {
   })
 })
 
+describe("ProviderTransform.providerOptions - merge-gateway-ai-sdk-provider", () => {
+  const model = {
+    id: "merge-gateway/openai/gpt-5.6-sol",
+    providerID: "merge-gateway",
+    api: {
+      id: "openai/gpt-5.6-sol",
+      url: "https://api-gateway.merge.dev/v1/ai-sdk",
+      npm: "merge-gateway-ai-sdk-provider",
+    },
+    capabilities: { reasoning: true },
+  } as any
+
+  test("routes normalized effort under the adapter's mergeGateway key", () => {
+    expect(ProviderTransform.providerOptions(model, { reasoningEffort: "high" })).toEqual({
+      mergeGateway: { reasoningEffort: "high" },
+    })
+  })
+})
+
 describe("ProviderTransform.options - kimi family adaptive thinking", () => {
   const createModel = (overrides: Record<string, any> = {}) =>
     ({

packages/opencode/test/session/compaction.test.ts

@@ -365,20 +365,6 @@ function autocontinue(enabled: boolean) {
   })
 }
 
-function compactionContext(context: string) {
-  return Layer.mock(Plugin.Service)({
-    trigger: <Name extends string, Input, Output>(name: Name, _input: Input, output: Output) => {
-      if (name !== "experimental.session.compacting") return Effect.succeed(output)
-      return Effect.sync(() => {
-        ;(output as { context: string[] }).context.push(context)
-        return output
-      })
-    },
-    list: () => Effect.succeed([]),
-    init: () => Effect.void,
-  })
-}
-
 describe("session.compaction.isOverflow", () => {
   it.live(
     "returns true when token count exceeds usable context",
@@ -1403,11 +1389,6 @@ describe("session.compaction.process", () => {
         const captured = JSON.stringify(messages)
         expect(messages).toHaveLength(1)
         expect(messages[0]?.role).toBe("user")
-        expect(captured).toContain("Here is the conversation so far:")
-        expect(captured).toContain("<conversation>")
-        expect(captured.indexOf("[User]: older context")).toBeLessThan(
-          captured.indexOf("Create a new anchored summary"),
-        )
         expect(captured).toContain("[User]: older context")
         expect(captured).not.toContain("keep this turn")
         expect(captured).not.toContain("and this one too")
@@ -1449,11 +1430,9 @@ describe("session.compaction.process", () => {
         expect(parent).toBeTruthy()
         yield* SessionCompaction.use.process({ parentID: parent!, messages: msgs, sessionID: session.id, auto: false })
 
-        expect(captured).toContain("<prior-summary>")
+        expect(captured).toContain("<previous-summary>")
         expect(captured).toContain("summary one")
         expect(captured.match(/summary one/g)?.length).toBe(1)
-        expect(captured.indexOf("latest turn")).toBeLessThan(captured.indexOf("Here is the previous summary:"))
-        expect(captured).toContain("existing summary in the <prior-summary> tags")
         expect(captured).toContain("## Important Details")
         expect(captured).toContain("## Work State")
       }).pipe(withCompaction({ llm: stub.llmLayer }))
@@ -1461,49 +1440,6 @@ describe("session.compaction.process", () => {
     { git: true },
   )
 
-  itCompaction.instance(
-    "keeps plugin context outside the serialized conversation",
-    () => {
-      const stub = llm()
-      let captured = ""
-      stub.push(
-        reply("summary", (input) => {
-          captured = JSON.stringify(input.messages)
-        }),
-      )
-
-      return Effect.gen(function* () {
-        const ssn = yield* SessionNs.Service
-        const session = yield* ssn.create({})
-        yield* createUserMessage(session.id, "older context")
-        yield* createUserMessage(session.id, "keep this turn")
-        yield* createUserMessage(session.id, "and this one too")
-        yield* createCompactionMarker(session.id)
-
-        const msgs = yield* ssn.messages({ sessionID: session.id })
-        const parent = msgs.at(-1)?.info.id
-        expect(parent).toBeTruthy()
-        yield* SessionCompaction.use.process({
-          parentID: parent!,
-          messages: msgs,
-          sessionID: session.id,
-          auto: false,
-        })
-
-        expect(captured).toContain("Prioritize unresolved migration details")
-        expect(captured.indexOf("</conversation>")).toBeLessThan(
-          captured.indexOf("Prioritize unresolved migration details"),
-        )
-      }).pipe(
-        withCompaction({
-          llm: stub.llmLayer,
-          plugin: compactionContext("Prioritize unresolved migration details"),
-        }),
-      )
-    },
-    { git: true },
-  )
-
   itCompaction.instance(
     "serializes repeated compaction history as one user message",
     () => {

packages/stats/core/package.json

@@ -12,6 +12,7 @@
     "./database": "./src/database.ts",
     "./database/*": "./src/database/*.ts",
     "./domain/*": "./src/domain/*.ts",
+    "./r2-sql": "./src/r2-sql.ts",
     "./runtime": "./src/runtime.ts",
     "./stat-sync": "./src/stat-sync.ts"
   },

packages/stats/core/src/domain/inference.test.ts

@@ -1,5 +1,5 @@
 import { describe, expect, test } from "bun:test"
-import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
+import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
 import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
 
 describe("inference stat normalization", () => {
@@ -82,6 +82,27 @@ describe("inference stat normalization", () => {
       }),
     ).toMatchObject([{ period_key: "2026-W20" }])
   })
+
+  test("builds bounded R2 SQL queries for each day and week", () => {
+    const queries = buildStatsQueries(new Date("2026-08-10T00:00:00.000Z"), new Date("2026-08-12T12:00:00.000Z"), {
+      namespace: "inference",
+      table: "generation",
+      dataset: "zen",
+    })
+
+    expect(queries).toHaveLength(8)
+    expect(queries[0]).toContain("'week' AS grain")
+    expect(queries[0]).toContain("'2026-W33' AS period_key")
+    expect(queries[2]).toContain("'2026-08-10' AS period_key")
+    expect(queries[6]).toContain("'2026-08-12' AS period_key")
+    expect(queries[0]).toContain('FROM "inference"."generation"')
+    expect(queries[0]).toContain("event_type = 'generation.completed'")
+    expect(queries[0]).toContain("product = 'go'")
+    expect(queries[0]).toContain("LIMIT 10000")
+    expect(queries[0]).toContain("approx_distinct(session) AS sessions")
+    expect(queries[1]).toContain("'geo_model' ELSE 'geo'")
+    expect(queries[1]).toContain("0 AS sessions")
+  })
 })
 
 function aggregate(model: string, provider: string) {

packages/stats/core/src/domain/inference.ts

@@ -1,5 +1,5 @@
 import { Resource } from "sst/resource"
-import type { AthenaData } from "../athena"
+import type { R2SqlData } from "../r2-sql"
 import type { GeoStatAggregate } from "./geo"
 import type { ModelStatAggregate } from "./model"
 import {
@@ -13,22 +13,66 @@ import type { ProviderStatAggregate } from "./provider"
 import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat"
 
 export type StatDimension = "model" | "provider" | "geo" | "geo_model"
+export type StatsQuerySource = { namespace: string; table: string; dataset: string }
+type StatsQueryFamily = "usage" | "geo"
 
-// All stat dimensions and both grains are computed in one query via GROUPING SETS so
-// the source table is scanned once per sync pass; separate queries per dimension (and
-// the previous weekly/daily UNION ALL) each re-scanned the same events.
-export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
-  const periodStartValue = sqlString(periodStart.toISOString())
-  const periodEndValue = sqlString(periodEnd.toISOString())
-  const periodStartDateValue = sqlString(periodStart.toISOString().slice(0, 10))
-  const periodEndDateValue = sqlString(periodEnd.toISOString().slice(0, 10))
-  const sourceTable = [Resource.InferenceEvent.catalog, Resource.InferenceEvent.database, Resource.InferenceEvent.table]
-    .map(sqlIdentifier)
-    .join(".")
+const DAY_MS = 86_400_000
+const WEEK_MS = 7 * DAY_MS
+
+// R2 SQL limits result sets to 10,000 rows and does not support OFFSET. Two
+// queries per day/week keep each result bounded and avoid combining the costly
+// distinct user/session aggregates with the high-cardinality geo dimensions.
+export function buildStatsQueries(periodStart: Date, periodEnd: Date, input?: StatsQuerySource) {
+  const source = input ?? {
+    namespace: Resource.R2Sql.namespace,
+    table: Resource.R2Sql.table,
+    dataset: Resource.StatsSyncConfig.dataset,
+  }
+  return [...statPeriods("week", periodStart, periodEnd), ...statPeriods("day", periodStart, periodEnd)].flatMap(
+    (period) => [buildStatsQuery(period, source, "usage"), buildStatsQuery(period, source, "geo")],
+  )
+}
+
+function buildStatsQuery(
+  period: { grain: "day" | "week"; key: string; start: Date; end: Date },
+  source: StatsQuerySource,
+  family: StatsQueryFamily,
+) {
+  const periodStartValue = sqlString(period.start.toISOString())
+  const periodEndValue = sqlString(period.end.toISOString())
+  const ingestEndValue = sqlString(new Date(period.end.getTime() + DAY_MS).toISOString())
+  const sourceTable = [source.namespace, source.table].map(sqlIdentifier).join(".")
+  const dimensions =
+    family === "usage"
+      ? `CASE WHEN grouping(model) = 0 THEN 'model' ELSE 'provider' END AS dimension,
+  tier,
+  provider,
+  CASE WHEN grouping(model) = 0 THEN model END AS model,
+  CASE WHEN grouping(model) = 0 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
+  null AS country,
+  null AS continent`
+      : `CASE WHEN grouping(model) = 0 THEN 'geo_model' ELSE 'geo' END AS dimension,
+  tier,
+  CASE WHEN grouping(model) = 0 THEN provider ELSE 'all' END AS provider,
+  CASE WHEN grouping(model) = 0 THEN model ELSE 'all' END AS model,
+  null AS provider_model,
+  country,
+  COALESCE(MAX(NULLIF(continent, '')), '') AS continent`
+  const distinctColumns =
+    family === "usage"
+      ? `approx_distinct(session) AS sessions,
+    approx_distinct(user_key) AS unique_users`
+      : `0 AS sessions,
+    0 AS unique_users`
+  const groupingSets =
+    family === "usage"
+      ? `(tier, provider, model),
+  (tier, provider)`
+      : `(tier, country),
+  (tier, provider, model, country)`
   const aggregateColumns = `
-    COUNT(DISTINCT session) AS sessions,
+    ${distinctColumns},
     COUNT(*) AS requests,
-    COUNT(DISTINCT user_key) AS unique_users,
     COALESCE(SUM(tokens_input), 0) AS input_tokens,
     COALESCE(SUM(tokens_output), 0) AS output_tokens,
     COALESCE(SUM(tokens_reasoning), 0) AS reasoning_tokens,
@@ -38,65 +82,57 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
     COALESCE(SUM(cost_output_microcents), 0) AS output_cost_microcents,
     COALESCE(SUM(cost_total_microcents), 0) AS total_cost_microcents,
     AVG(duration_ms) AS avg_duration_ms,
-    approx_percentile(CAST(duration_ms AS double), 0.5) AS p50_duration_ms,
-    approx_percentile(CAST(duration_ms AS double), 0.95) AS p95_duration_ms,
+    null AS p50_duration_ms,
+    null AS p95_duration_ms,
     AVG(ttfb_ms) AS avg_ttfb_ms,
-    approx_percentile(CAST(ttfb_ms AS double), 0.5) AS p50_ttfb_ms,
-    approx_percentile(CAST(ttfb_ms AS double), 0.95) AS p95_ttfb_ms,
+    null AS p50_ttfb_ms,
+    null AS p95_ttfb_ms,
     AVG(output_tps) AS avg_output_tps,
-    SUM(CASE WHEN status >= 200 AND status < 400 THEN 1 ELSE 0 END) AS success_count,
-    SUM(CASE WHEN status >= 400 THEN 1 ELSE 0 END) AS error_count,
+    SUM(CASE WHEN outcome = 'succeeded' THEN 1 ELSE 0 END) AS success_count,
+    SUM(CASE WHEN outcome = 'failed' THEN 1 ELSE 0 END) AS error_count,
     COUNT(*) AS sample_count`
 
   return `
 WITH normalized AS (
   SELECT
-    from_iso8601_timestamp(event_timestamp) AS event_time,
-    model AS raw_model,
-    ${statModelSql("model", "provider_model")} AS model,
-    COALESCE(NULLIF(provider_model, ''), '') AS provider_model,
-    COALESCE(NULLIF(provider, ''), '') AS raw_provider,
-    UPPER(COALESCE(NULLIF(cf_country, ''), 'ZZ')) AS country,
-    COALESCE(NULLIF(cf_continent, ''), '') AS continent,
-    session,
-    COALESCE(NULLIF(workspace, ''), '') AS workspace,
-    COALESCE(NULLIF(api_key, ''), '') AS api_key,
+    model_requested AS raw_model,
+    ${statModelSql("model_requested", "route_model")} AS model,
+    COALESCE(NULLIF(route_model, ''), '') AS provider_model,
+    COALESCE(NULLIF(provider_id, ''), '') AS raw_provider,
+    UPPER(COALESCE(NULLIF(country, ''), 'ZZ')) AS country,
+    COALESCE(NULLIF(continent, ''), '') AS continent,
+    session_id AS session,
+    COALESCE(NULLIF(workspace_id, ''), '') AS workspace,
+    COALESCE(NULLIF(service_api_key_id, ''), '') AS api_key,
     COALESCE(NULLIF(user_id, ''), '') AS user_id,
-    status,
-    duration AS duration_ms,
-    time_to_first_byte AS ttfb_ms,
-    timestamp_first_byte,
-    timestamp_last_byte,
+    outcome,
+    duration_ms,
+    time_to_first_token_ms AS ttfb_ms,
+    CASE
+      WHEN first_token_at IS NULL OR last_token_at IS NULL THEN null
+      ELSE date_part('epoch', last_token_at) - date_part('epoch', first_token_at)
+    END AS output_seconds,
     tokens_input,
     tokens_output,
     tokens_reasoning,
     tokens_cache_read,
-    tokens_cache_write_5m,
-    tokens_cache_write_1h,
-    cost_input_microcents,
-    cost_output_microcents,
-    cost_total_microcents,
-    cost_input,
-    cost_output,
-    cost_total,
-    source
+    tokens_cache_write,
+    cost_input AS cost_input_microcents,
+    cost_output AS cost_output_microcents,
+    cost_total AS cost_total_microcents
   FROM ${sourceTable}
-  WHERE event_type = 'completions'
-    AND model IS NOT NULL
-    AND model <> ''
-    AND source = 'lite'
-    AND event_date >= ${periodStartDateValue}
-    AND event_date <= ${periodEndDateValue}
-    AND event_timestamp >= ${periodStartValue}
-    AND event_timestamp < ${periodEndValue}
+  WHERE event_type = 'generation.completed'
+    AND source IN ('inference', 'inference-legacy')
+    AND product = 'go'
+    AND model_requested IS NOT NULL
+    AND model_requested <> ''
+    AND __ingest_ts >= ${periodStartValue}
+    AND __ingest_ts < ${ingestEndValue}
+    AND started_at >= ${periodStartValue}
+    AND started_at < ${periodEndValue}
 ), filtered AS (
   SELECT
-    event_time,
-    CASE
-      WHEN source = 'lite' THEN 'Go'
-      WHEN raw_model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free'
-      ELSE 'Paid'
-    END AS tier,
+    'Go' AS tier,
     ${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
     provider_model,
     model,
@@ -104,63 +140,39 @@ WITH normalized AS (
     continent,
     session,
     COALESCE(NULLIF(user_id, ''), NULLIF(workspace, ''), NULLIF(api_key, '')) AS user_key,
-    status,
+    outcome,
     duration_ms,
     ttfb_ms,
     CASE
-      WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null
-      ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000
+      WHEN output_seconds < 0.1 THEN null
+      ELSE CAST(tokens_output AS double) / output_seconds
     END AS output_tps,
     tokens_input,
     tokens_output,
     tokens_reasoning,
     tokens_cache_read,
-    COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write_5m, 0) + COALESCE(tokens_cache_write_1h, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
-    COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents,
-    COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents,
-    COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
+    COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
+    cost_input_microcents,
+    cost_output_microcents,
+    cost_total_microcents
   FROM normalized
   WHERE lower(model) NOT IN (${[...EXCLUDED_MODELS].map(sqlString).join(", ")})
-), periods AS (
-  SELECT
-    concat(CAST(year_of_week(event_time) AS varchar), '-W', lpad(CAST(week(event_time) AS varchar), 2, '0')) AS week_key,
-    substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key,
-    *
-  FROM filtered
 )
 SELECT
-  CASE WHEN grouping(week_key) = 0 THEN 'week' ELSE 'day' END AS grain,
-  COALESCE(week_key, day_key) AS period_key,
-  ${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset,
-  CASE
-    WHEN grouping(country) = 0 AND grouping(model) = 0 THEN 'geo_model'
-    WHEN grouping(country) = 0 THEN 'geo'
-    WHEN grouping(model) = 0 THEN 'model'
-    ELSE 'provider'
-  END AS dimension,
-  tier,
-  CASE WHEN grouping(provider) = 0 THEN provider ELSE 'all' END AS provider,
-  CASE WHEN grouping(model) = 0 THEN model WHEN grouping(country) = 0 THEN 'all' END AS model,
-  CASE WHEN grouping(model) = 0 AND grouping(country) = 1 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
-  CASE WHEN grouping(country) = 0 THEN country END AS country,
-  CASE WHEN grouping(country) = 0 THEN COALESCE(MAX(NULLIF(continent, '')), '') END AS continent,
+  ${sqlString(period.grain)} AS grain,
+  ${sqlString(period.key)} AS period_key,
+  ${sqlString(source.dataset)} AS dataset,
+  ${dimensions},
   ${aggregateColumns}
-FROM periods
+FROM filtered
 GROUP BY GROUPING SETS (
-  (week_key, tier, provider, model),
-  (week_key, tier, provider),
-  (week_key, tier, country),
-  (week_key, tier, provider, model, country),
-  (day_key, tier, provider, model),
-  (day_key, tier, provider),
-  (day_key, tier, country),
-  (day_key, tier, provider, model, country)
+  ${groupingSets}
 )
-ORDER BY grain, period_key, total_tokens DESC
+LIMIT 10000
 `
 }
 
-export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
+export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
   const model = statModel(data.model, data.provider_model)
   const provider = statProvider(model, data.provider_model, data.provider)
   if (!provider) return []
@@ -170,13 +182,13 @@ export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
   ])
 }
 
-export function toProviderAggregate(data: AthenaData): ProviderStatAggregate[] {
+export function toProviderAggregate(data: R2SqlData): ProviderStatAggregate[] {
   return toStatBaseAggregate(data).flatMap((base) => [
     { ...base, provider: statProvider(data.model, data.provider_model, data.provider) || "unknown" },
   ])
 }
 
-export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
+export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
   return toStatBaseAggregate(data).flatMap((base) => [
     {
       ...base,
@@ -188,7 +200,7 @@ export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
   ])
 }
 
-function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
+function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
   const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined
   if (!grain || !data.period_key) return []
 
@@ -223,21 +235,21 @@ function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
   ]
 }
 
-function integer(data: AthenaData, key: string) {
+function integer(data: R2SqlData, key: string) {
   return Math.round(number(data, key))
 }
 
-function nullableNumber(data: AthenaData, key: string) {
+function nullableNumber(data: R2SqlData, key: string) {
   if (data[key] === undefined || data[key] === "") return null
   return Number(number(data, key).toFixed(2))
 }
 
-function nullableInteger(data: AthenaData, key: string) {
+function nullableInteger(data: R2SqlData, key: string) {
   if (data[key] === undefined || data[key] === "") return null
   return Math.round(number(data, key))
 }
 
-function number(data: AthenaData, key: string) {
+function number(data: R2SqlData, key: string) {
   const value = Number(data[key])
   return Number.isFinite(value) ? value : 0
 }
@@ -250,6 +262,29 @@ function sqlString(value: string) {
   return `'${value.replace(/'/g, "''")}'`
 }
 
+function statPeriods(grain: "day" | "week", periodStart: Date, periodEnd: Date) {
+  const interval = grain === "day" ? DAY_MS : WEEK_MS
+  const count = Math.max(0, Math.ceil((periodEnd.getTime() - periodStart.getTime()) / interval))
+  return Array.from({ length: count }, (_, index) => {
+    const start = new Date(periodStart.getTime() + index * interval)
+    return {
+      grain,
+      key: grain === "day" ? start.toISOString().slice(0, 10) : isoWeekKey(start),
+      start,
+      end: new Date(Math.min(start.getTime() + interval, periodEnd.getTime())),
+    }
+  })
+}
+
+function isoWeekKey(date: Date) {
+  const thursday = new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth(), date.getUTCDate()))
+  const day = thursday.getUTCDay() || 7
+  thursday.setUTCDate(thursday.getUTCDate() + 4 - day)
+  const year = thursday.getUTCFullYear()
+  const week = Math.ceil((thursday.getTime() - Date.UTC(year, 0, 1) + DAY_MS) / WEEK_MS)
+  return `${year}-W${String(week).padStart(2, "0")}`
+}
+
 function statModelSql(model: string, providerModel: string) {
   return `COALESCE(NULLIF(regexp_replace(CASE
       WHEN lower(${model}) = 'big-pickle' THEN NULLIF(${providerModel}, '')

packages/stats/core/src/r2-sql.ts

@@ -0,0 +1,105 @@
+import { Context, Effect, Layer, Schema } from "effect"
+import { Resource } from "sst/resource"
+
+const R2_SQL_MAX_ROWS = 10_000
+const R2SqlValue = Schema.Union([Schema.String, Schema.Number, Schema.Boolean, Schema.Null])
+const R2SqlResponse = Schema.Struct({
+  success: Schema.Boolean,
+  result: Schema.optional(
+    Schema.NullOr(
+      Schema.Struct({
+        request_id: Schema.String,
+        rows: Schema.Array(Schema.Record(Schema.String, R2SqlValue)),
+      }),
+    ),
+  ),
+  errors: Schema.Array(Schema.Unknown),
+})
+const decodeResponse = Schema.decodeUnknownEffect(Schema.fromJsonString(R2SqlResponse))
+
+export type R2SqlData = Record<string, string>
+
+export class R2SqlQueryError extends Error {
+  readonly _tag = "R2SqlQueryError"
+  readonly requestId?: string
+  readonly status?: number
+
+  constructor(input: { message: string; requestId?: string; status?: number; cause?: unknown }) {
+    super(input.message, { cause: input.cause })
+    this.name = "R2SqlQueryError"
+    this.requestId = input.requestId
+    this.status = input.status
+  }
+}
+
+export declare namespace R2Sql {
+  export interface Service {
+    readonly query: (query: string) => Effect.Effect<R2SqlData[], R2SqlQueryError>
+  }
+}
+
+export class R2Sql extends Context.Service<R2Sql, R2Sql.Service>()("@opencode/stats/R2Sql") {
+  static readonly layer: Layer.Layer<R2Sql> = Layer.succeed(
+    R2Sql,
+    R2Sql.of({
+      query: Effect.fn("R2Sql.query")(function* (query: string) {
+        const response = yield* Effect.tryPromise({
+          try: () =>
+            Bun.fetch(
+              `https://api.sql.cloudflarestorage.com/api/v1/accounts/${Resource.R2Sql.accountId}/r2-sql/query/${Resource.R2Sql.bucket}`,
+              {
+                method: "POST",
+                headers: {
+                  Authorization: `Bearer ${Resource.R2SqlAuthToken.value}`,
+                  "Content-Type": "application/json",
+                },
+                body: JSON.stringify({ query }),
+              },
+            ),
+          catch: (cause) => new R2SqlQueryError({ message: "Failed to run R2 SQL stats query", cause }),
+        })
+        const body = yield* Effect.tryPromise({
+          try: () => response.text(),
+          catch: (cause) =>
+            new R2SqlQueryError({ message: "Failed to read R2 SQL stats response", status: response.status, cause }),
+        })
+        const decoded = yield* decodeResponse(body).pipe(
+          Effect.mapError(
+            (cause) =>
+              new R2SqlQueryError({
+                message: "R2 SQL returned an invalid stats response",
+                status: response.status,
+                cause,
+              }),
+          ),
+        )
+        if (!response.ok || !decoded.success || !decoded.result)
+          return yield* Effect.fail(
+            new R2SqlQueryError({
+              message: `R2 SQL stats query failed: ${JSON.stringify(decoded.errors)}`,
+              requestId: decoded.result?.request_id,
+              status: response.status,
+            }),
+          )
+
+        // R2 SQL has no OFFSET support and caps LIMIT at 10,000. Each stats
+        // query is scoped to one day or week, and reaching the cap is treated as
+        // an error so a newly high-cardinality period can never be truncated.
+        if (decoded.result.rows.length >= R2_SQL_MAX_ROWS)
+          return yield* Effect.fail(
+            new R2SqlQueryError({
+              message: `R2 SQL stats query reached the ${R2_SQL_MAX_ROWS} row limit`,
+              requestId: decoded.result.request_id,
+              status: response.status,
+            }),
+          )
+
+        return decoded.result.rows.map((row) =>
+          Object.fromEntries(
+            Object.entries(row).flatMap(([key, value]) => (value === null ? [] : [[key, String(value)]])),
+          ),
+        )
+      }),
+    }),
+  )
+}

packages/stats/core/src/resource.d.ts

@@ -11,6 +11,17 @@ declare module "sst/resource" {
       type: "sst.sst.Linkable"
       workgroup: string
     }
+    R2Sql: {
+      accountId: string
+      bucket: string
+      namespace: string
+      table: string
+      type: "sst.sst.Linkable"
+    }
+    R2SqlAuthToken: {
+      type: "sst.sst.Secret"
+      value: string
+    }
     StatsSyncConfig: {
       dataset: string
       type: "sst.sst.Linkable"

packages/stats/core/src/stat-sync.ts

@@ -1,12 +1,12 @@
 import { DateTime, Effect } from "effect"
 import { Resource } from "sst/resource"
-import { Athena, AthenaQueryError, AthenaQueryTimeoutError } from "./athena"
 import { DatabaseError } from "./database"
 import { GeoStatRepo, rowsFromAggregates as geoRowsFromAggregates } from "./domain/geo"
-import { buildStatsQuery, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
+import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
 import { ModelStatRepo, rowsFromAggregates as modelRowsFromAggregates } from "./domain/model"
 import { ProviderStatRepo, rowsFromAggregates as providerRowsFromAggregates } from "./domain/provider"
 import { startOfIsoWeek } from "./domain/stat"
+import { R2Sql, R2SqlQueryError } from "./r2-sql"
 
 const DATALAKE_INGESTION_LAG_MS = 5 * 60_000
 const STATS_DATA_START_MS = new Date("2026-05-28T00:00:00.000Z").getTime()
@@ -18,23 +18,25 @@ const DISPLAY_WINDOW_MS = 56 * 86_400_000
 const INCREMENTAL_LOOKBACK_MS = 2 * 3_600_000
 
 export type SyncStatsResult = { ok: true; rows: number; startedAt: string; periodStart: string; periodEnd: string }
-export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
+export type SyncStatsError = R2SqlQueryError | DatabaseError
 
 export const syncStats: (options?: {
   full?: boolean
-}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
+}) => Effect.Effect<SyncStatsResult, SyncStatsError, R2Sql | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
   Effect.fn("StatSync.sync")(function* (options?: { full?: boolean }) {
     const startedAt = yield* DateTime.nowAsDate
     const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000)
     const periodStart = options?.full ? fullPeriodStart(periodEnd) : incrementalPeriodStart(periodEnd)
-    const athena = yield* Athena
+    const r2Sql = yield* R2Sql
     const modelStats = yield* ModelStatRepo
     const providerStats = yield* ProviderStatRepo
     const geoStats = yield* GeoStatRepo
 
     yield* logRuntimeCheck()
 
-    const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
+    const rows = yield* Effect.forEach(buildStatsQueries(periodStart, periodEnd), r2Sql.query, {
+      concurrency: 4,
+    }).pipe(Effect.map((batches) => batches.flat()))
     const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
     const providerRows = providerRowsFromAggregates(
       rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
@@ -77,7 +79,7 @@ export const syncStats: (options?: {
     }
   })
 
-// May 27 was partial, so keep Athena stats anchored at the first complete day.
+// May 27 was partial, so keep stats anchored at the first complete day.
 function fullPeriodStart(periodEnd: Date) {
   return new Date(
     Math.max(
@@ -99,13 +101,12 @@ function incrementalPeriodStart(periodEnd: Date) {
 
 function logRuntimeCheck() {
   return Effect.logInfo(
-    `athena stats runtime check ${JSON.stringify({
-      catalog: Resource.InferenceEvent.catalog,
-      database: Resource.InferenceEvent.database,
+    `r2 sql stats runtime check ${JSON.stringify({
+      accountId: Resource.R2Sql.accountId,
+      bucket: Resource.R2Sql.bucket,
       dataset: Resource.StatsSyncConfig.dataset,
-      table: Resource.InferenceEvent.table,
-      workgroup: Resource.InferenceEvent.workgroup,
-      region: Resource.InferenceEvent.region,
+      namespace: Resource.R2Sql.namespace,
+      table: Resource.R2Sql.table,
       stage: Resource.App.stage,
     })}`,
   )

packages/stats/server/src/stat-sync.ts

@@ -1,6 +1,6 @@
 import * as NodeRuntime from "@effect/platform-node/NodeRuntime"
-import { Athena } from "@opencode-ai/stats-core/athena"
 import { ModelStatRepo } from "@opencode-ai/stats-core/domain/model"
+import { R2Sql } from "@opencode-ai/stats-core/r2-sql"
 import { layer as statsLayer } from "@opencode-ai/stats-core/runtime"
 import { syncStats } from "@opencode-ai/stats-core/stat-sync"
 import { Cause, Duration, Effect, Layer, Schedule } from "effect"
@@ -8,7 +8,7 @@ import { Cause, Duration, Effect, Layer, Schedule } from "effect"
 const SYNC_INTERVAL = "1 hour"
 const SYNC_INTERVAL_MS = 3_600_000
 
-const runtimeLayer = Layer.mergeAll(statsLayer, Athena.layer)
+const runtimeLayer = Layer.mergeAll(statsLayer, R2Sql.layer)
 
 const daemon = Effect.gen(function* () {
   yield* Effect.logInfo("stats sync daemon started")
@@ -40,9 +40,9 @@ const daemon = Effect.gen(function* () {
   yield* pass.pipe(Effect.repeat(Schedule.fixed(SYNC_INTERVAL)))
 }).pipe(Effect.forkScoped)
 
-// A restarted daemon must not immediately re-run the expensive Athena pass; resume
-// the hourly cadence from the last completed sync instead. This caps the Athena
-// spend of a crash loop at one pass per interval.
+// A restarted daemon must not immediately re-run the R2 SQL pass; resume the
+// hourly cadence from the last completed sync instead. This caps the query spend
+// of a crash loop at one pass per interval.
 const initialDelay = Effect.fnUntraced(function* () {
   const modelStats = yield* ModelStatRepo
   const lastSynced = yield* modelStats.lastSyncedAt().pipe(Effect.catchCause(() => Effect.succeed(null)))

packages/web/src/content/docs/ar/zen.mdx

@@ -90,6 +90,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -178,6 +179,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20           | -               |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00   | $18.00  | $0.40           | -               |
 | Gemini 3 Flash                    | $0.50   | $3.00   | $0.05           | -               |
+| Grok 4.6 (≤ 200K tokens)          | $2.00   | $6.00   | $0.50           | -               |
+| Grok 4.6 (> 200K tokens)          | $4.00   | $12.00  | $1.00           | -               |
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30           | -               |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60           | -               |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20           | -               |

packages/web/src/content/docs/bs/zen.mdx

@@ -95,6 +95,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/da/zen.mdx

@@ -95,6 +95,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/de/zen.mdx

@@ -86,6 +86,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/ecosystem.mdx

@@ -17,7 +17,7 @@ You can also check out [awesome-opencode](https://github.com/awesome-opencode/aw
 
 | Name                                                                                               | Description                                                                                        |
 | -------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
-| [opencode-daytona](https://github.com/daytonaio/daytona/tree/main/libs/opencode-plugin)            | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews  |
+| [opencode-daytona](https://github.com/daytona/integrations/tree/main/packages/opencode-plugin)     | Automatically run OpenCode sessions in isolated Daytona sandboxes with git sync and live previews  |
 | [opencode-helicone-session](https://github.com/H2Shami/opencode-helicone-session)                  | Automatically inject Helicone session headers for request grouping                                 |
 | [opencode-type-inject](https://github.com/nick-vi/opencode-type-inject)                            | Auto-inject TypeScript/Svelte types into file reads with lookup tools                              |
 | [opencode-openai-codex-auth](https://github.com/numman-ali/opencode-openai-codex-auth)             | Use your ChatGPT Plus/Pro subscription instead of API credits                                      |

packages/web/src/content/docs/es/zen.mdx

@@ -95,6 +95,7 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20            | -                  |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00   | $18.00  | $0.40            | -                  |
 | Gemini 3 Flash                    | $0.50   | $3.00   | $0.05            | -                  |
+| Grok 4.6 (≤ 200K tokens)          | $2.00   | $6.00   | $0.50            | -                  |
+| Grok 4.6 (> 200K tokens)          | $4.00   | $12.00  | $1.00            | -                  |
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30            | -                  |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60            | -                  |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20            | -                  |

packages/web/src/content/docs/fr/zen.mdx

@@ -86,6 +86,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/github.mdx

@@ -97,7 +97,7 @@ Or you can set it up manually.
     issues: write
   ```
 
-  You can also use a [personal access tokens](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)(PAT) if preferred.
+  You can also use a [personal access token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens)(PAT) if preferred.
 
 ---
 

packages/web/src/content/docs/it/zen.mdx

@@ -95,6 +95,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/ja/zen.mdx

@@ -86,6 +86,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/ko/zen.mdx

@@ -86,6 +86,7 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/nb/zen.mdx

@@ -95,6 +95,7 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20         | -               |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00   | $18.00  | $0.40         | -               |
 | Gemini 3 Flash                    | $0.50   | $3.00   | $0.05         | -               |
+| Grok 4.6 (≤ 200K tokens)          | $2.00   | $6.00   | $0.50         | -               |
+| Grok 4.6 (> 200K tokens)          | $4.00   | $12.00  | $1.00         | -               |
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30         | -               |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60         | -               |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20         | -               |

packages/web/src/content/docs/pl/zen.mdx

@@ -95,6 +95,7 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20          | -              |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00   | $18.00  | $0.40          | -              |
 | Gemini 3 Flash                    | $0.50   | $3.00   | $0.05          | -              |
+| Grok 4.6 (≤ 200K tokens)          | $2.00   | $6.00   | $0.50          | -              |
+| Grok 4.6 (> 200K tokens)          | $4.00   | $12.00  | $1.00          | -              |
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30          | -              |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60          | -              |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20          | -              |

packages/web/src/content/docs/providers.mdx

@@ -759,7 +759,7 @@ Cloudflare Workers AI lets you run AI models on Cloudflare's global network dire
 
 ### DigitalOcean
 
-DigitalOcean's [Inference Engine](https://docs.digitalocean.com/products/inference/) provides access to open models like GPT-OSS, Llama, Qwen, and DeepSeek, plus custom [Inference Routers](https://docs.digitalocean.com/products/genai-platform/concepts/inference-routers/) that route each request to the cheapest, fastest, or best-fit model for a task.
+DigitalOcean's [Inference Engine](https://docs.digitalocean.com/products/inference/) provides access to open models like GPT-OSS, Llama, Qwen, and DeepSeek, plus custom [Inference Routers](https://docs.digitalocean.com/products/inference/how-to/use-inference-router/) that route each request to the cheapest, fastest, or best-fit model for a task.
 
 OpenCode supports two authentication methods:
 
@@ -2487,7 +2487,7 @@ You can use any OpenAI-compatible provider with opencode. Most modern AI provide
      "provider": {
        "myprovider": {
          "npm": "@ai-sdk/openai-compatible",
-         "name": "My AI ProviderDisplay Name",
+         "name": "My AI Provider Display Name",
          "options": {
            "baseURL": "https://api.myprovider.com/v1"
          },
@@ -2525,7 +2525,7 @@ Here's an example setting the `apiKey`, `headers`, and model `limit` options.
   "provider": {
     "myprovider": {
       "npm": "@ai-sdk/openai-compatible",
-      "name": "My AI ProviderDisplay Name",
+      "name": "My AI Provider Display Name",
       "options": {
         "baseURL": "https://api.myprovider.com/v1",
         "apiKey": "{env:ANTHROPIC_API_KEY}",

packages/web/src/content/docs/pt-br/zen.mdx

@@ -86,6 +86,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00   | $12.00  | $0.20            | -                |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00   | $18.00  | $0.40            | -                |
 | Gemini 3 Flash                    | $0.50   | $3.00   | $0.05            | -                |
+| Grok 4.6 (≤ 200K tokens)          | $2.00   | $6.00   | $0.50            | -                |
+| Grok 4.6 (> 200K tokens)          | $4.00   | $12.00  | $1.00            | -                |
 | Grok 4.5 (≤ 200K tokens)          | $2.00   | $6.00   | $0.30            | -                |
 | Grok 4.5 (> 200K tokens)          | $4.00   | $12.00  | $0.60            | -                |
 | Grok Build 0.1                    | $1.00   | $2.00   | $0.20            | -                |

packages/web/src/content/docs/ru/zen.mdx

@@ -95,6 +95,7 @@ OpenCode Zen работает как любой другой провайдер
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/th/zen.mdx

@@ -88,6 +88,7 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -176,6 +177,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/tr/zen.mdx

@@ -86,6 +86,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/zen.mdx

@@ -95,6 +95,7 @@ You can also access our models through the following API endpoints.
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -185,6 +186,8 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20       | -            |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40       | -            |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05       | -            |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50       | -            |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00       | -            |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30       | -            |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60       | -            |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20       | -            |

packages/web/src/content/docs/zh-cn/zen.mdx

@@ -86,6 +86,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -174,6 +175,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20    | -        |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40    | -        |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05    | -        |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50    | -        |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00    | -        |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30    | -        |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60    | -        |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20    | -        |

packages/web/src/content/docs/zh-tw/zen.mdx

@@ -90,6 +90,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
 | Gemini 3.5 Flash Lite       | gemini-3.5-flash-lite       | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google`            |
 | Gemini 3.1 Pro              | gemini-3.1-pro              | `https://opencode.ai/zen/v1/models/gemini-3.1-pro`        | `@ai-sdk/google`            |
 | Gemini 3 Flash              | gemini-3-flash              | `https://opencode.ai/zen/v1/models/gemini-3-flash`        | `@ai-sdk/google`            |
+| Grok 4.6                    | grok-4.6                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok 4.5                    | grok-4.5                    | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Grok Build 0.1              | grok-build-0.1              | `https://opencode.ai/zen/v1/responses`                    | `@ai-sdk/openai`            |
 | Qwen3.7 Max                 | qwen3.7-max                 | `https://opencode.ai/zen/v1/messages`                     | `@ai-sdk/anthropic`         |
@@ -179,6 +180,8 @@ https://opencode.ai/zen/v1/models
 | Gemini 3.1 Pro (≤ 200K tokens)    | $2.00  | $12.00  | $0.20    | -        |
 | Gemini 3.1 Pro (> 200K tokens)    | $4.00  | $18.00  | $0.40    | -        |
 | Gemini 3 Flash                    | $0.50  | $3.00   | $0.05    | -        |
+| Grok 4.6 (≤ 200K tokens)          | $2.00  | $6.00   | $0.50    | -        |
+| Grok 4.6 (> 200K tokens)          | $4.00  | $12.00  | $1.00    | -        |
 | Grok 4.5 (≤ 200K tokens)          | $2.00  | $6.00   | $0.30    | -        |
 | Grok 4.5 (> 200K tokens)          | $4.00  | $12.00  | $0.60    | -        |
 | Grok Build 0.1                    | $1.00  | $2.00   | $0.20    | -        |