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Author SHA1 Message Date
Dax Raad 251ce4a2ab fix(opencode): validate upgrade requests 2026-08-12 13:14:58 +00:00
77 changed files with 295 additions and 731 deletions
-1
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@@ -10,7 +10,6 @@ kitlangton
kommander
ludvigrask
MrMushrooooom
neriousy
nexxeln
R44VC0RP
rekram1-node
-1
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@@ -35,7 +35,6 @@ jobs:
- run: bun sst deploy --stage=${{ github.ref_name }}
env:
GITHUB_TOKEN: ${{ github.token }}
CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
+1 -1
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@@ -4,7 +4,7 @@ import { tool } from "@opencode-ai/plugin"
const TEAM = {
tui: ["kommander", "simonklee"],
desktop_web: ["Hona", "Brendonovich"],
core: ["jlongster", "rekram1-node", "neriousy", "nexxeln", "kitlangton"],
core: ["jlongster", "rekram1-node", "nexxeln", "kitlangton"],
inference: ["fwang", "MrMushrooooom", "starptech"],
windows: ["Hona"],
} as const
+28 -28
View File
@@ -29,7 +29,7 @@
},
"packages/app": {
"name": "@opencode-ai/app",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@corvu/drawer": "catalog:",
"@dnd-kit/abstract": "0.5.0",
@@ -96,7 +96,7 @@
},
"packages/cli": {
"name": "@opencode-ai/cli",
"version": "1.18.17",
"version": "1.18.16",
"bin": {
"lildax": "./bin/lildax.cjs",
},
@@ -144,7 +144,7 @@
},
"packages/codemode": {
"name": "@opencode-ai/codemode",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"acorn": "8.15.0",
"effect": "catalog:",
@@ -158,7 +158,7 @@
},
"packages/console/app": {
"name": "@opencode-ai/console-app",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@ibm/plex": "6.4.1",
@@ -194,7 +194,7 @@
},
"packages/console/core": {
"name": "@opencode-ai/console-core",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@aws-sdk/client-sts": "3.782.0",
"@jsx-email/render": "1.1.1",
@@ -221,7 +221,7 @@
},
"packages/console/function": {
"name": "@opencode-ai/console-function",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@ai-sdk/anthropic": "3.0.82",
"@ai-sdk/openai": "3.0.48",
@@ -243,7 +243,7 @@
},
"packages/console/mail": {
"name": "@opencode-ai/console-mail",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
@@ -267,7 +267,7 @@
},
"packages/console/support": {
"name": "@opencode-ai/console-support",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@cloudflare/vite-plugin": "1.15.2",
"@opencode-ai/console-core": "workspace:*",
@@ -287,7 +287,7 @@
},
"packages/core": {
"name": "@opencode-ai/core",
"version": "1.18.17",
"version": "1.18.16",
"bin": {
"opencode": "./bin/opencode",
},
@@ -381,7 +381,7 @@
},
"packages/desktop": {
"name": "@opencode-ai/desktop",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@zip.js/zip.js": "2.7.62",
"drizzle-orm": "catalog:",
@@ -435,7 +435,7 @@
},
"packages/effect-drizzle-sqlite": {
"name": "@opencode-ai/effect-drizzle-sqlite",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"drizzle-orm": "catalog:",
"effect": "catalog:",
@@ -449,7 +449,7 @@
},
"packages/effect-sqlite-node": {
"name": "@opencode-ai/effect-sqlite-node",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"effect": "catalog:",
},
@@ -461,7 +461,7 @@
},
"packages/enterprise": {
"name": "@opencode-ai/enterprise",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@hono/standard-validator": "catalog:",
"@opencode-ai/core": "workspace:*",
@@ -493,7 +493,7 @@
},
"packages/function": {
"name": "@opencode-ai/function",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@octokit/auth-app": "8.0.1",
"@octokit/rest": "catalog:",
@@ -509,7 +509,7 @@
},
"packages/http-recorder": {
"name": "@opencode-ai/http-recorder",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@effect/platform-node": "4.0.0-beta.83",
"@effect/platform-node-shared": "4.0.0-beta.83",
@@ -540,7 +540,7 @@
},
"packages/llm": {
"name": "@opencode-ai/llm",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@opencode-ai/schema": "workspace:*",
"@smithy/eventstream-codec": "4.2.14",
@@ -559,7 +559,7 @@
},
"packages/opencode": {
"name": "opencode",
"version": "1.18.17",
"version": "1.18.16",
"bin": {
"opencode": "./bin/opencode",
},
@@ -690,7 +690,7 @@
},
"packages/plugin": {
"name": "@opencode-ai/plugin",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@ai-sdk/provider": "3.0.8",
"@opencode-ai/sdk": "workspace:*",
@@ -766,7 +766,7 @@
},
"packages/sdk/js": {
"name": "@opencode-ai/sdk",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"cross-spawn": "catalog:",
},
@@ -781,7 +781,7 @@
},
"packages/server": {
"name": "@opencode-ai/server",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@opencode-ai/core": "workspace:*",
"@opencode-ai/protocol": "workspace:*",
@@ -796,7 +796,7 @@
},
"packages/session-ui": {
"name": "@opencode-ai/session-ui",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@kobalte/core": "catalog:",
"@opencode-ai/client": "file:../app/vendor/opencode-ai-client-1.17.13-v2.tgz",
@@ -836,7 +836,7 @@
},
"packages/slack": {
"name": "@opencode-ai/slack",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@opencode-ai/sdk": "workspace:*",
"@slack/bolt": "^3.17.1",
@@ -849,7 +849,7 @@
},
"packages/stats/app": {
"name": "@opencode-ai/stats-app",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@ibm/plex": "6.4.1",
"@kobalte/core": "catalog:",
@@ -883,7 +883,7 @@
},
"packages/stats/core": {
"name": "@opencode-ai/stats-core",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@aws-sdk/client-athena": "3.933.0",
"@planetscale/database": "1.19.0",
@@ -902,7 +902,7 @@
},
"packages/stats/server": {
"name": "@opencode-ai/stats-server",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@aws-sdk/client-firehose": "3.933.0",
"@effect/platform-node": "catalog:",
@@ -944,7 +944,7 @@
},
"packages/tui": {
"name": "@opencode-ai/tui",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@opencode-ai/core": "workspace:*",
"@opencode-ai/plugin": "workspace:*",
@@ -971,7 +971,7 @@
},
"packages/ui": {
"name": "@opencode-ai/ui",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@kobalte/core": "catalog:",
"@pierre/diffs": "catalog:",
@@ -1022,7 +1022,7 @@
},
"packages/web": {
"name": "@opencode-ai/web",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@astrojs/cloudflare": "12.6.3",
"@astrojs/markdown-remark": "6.3.1",
+1 -13
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@@ -181,16 +181,6 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
},
})
const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
const r2Sql = new sst.Linkable("R2Sql", {
properties: {
accountId: "15d29c8639fd3733b1b5486a2acfd968",
bucket: `platform-${$app.stage}-lake`,
namespace: "inference",
table: "generation",
},
})
export const statSync = new sst.aws.Service("StatsSyncService", {
cluster: lakeCluster,
architecture: "arm64",
@@ -203,9 +193,7 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
dockerfile: "packages/stats/server/Dockerfile",
},
command: ["bun", "src/stat-sync.ts"],
// Keep the legacy Athena link and IAM permissions during the first R2-backed
// release so reverting the application code remains a one-deploy rollback.
link: [database, inferenceEvent, r2Sql, r2SqlAuthToken, statsSyncConfig],
link: [database, inferenceEvent, statsSyncConfig],
permissions: lakeQueryPermissions,
scaling: {
min: 1,
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/app",
"version": "1.18.17",
"version": "1.18.16",
"description": "",
"type": "module",
"exports": {
+1 -1
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@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/cli",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"bin": {
+1 -1
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@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/codemode",
"version": "1.18.17",
"version": "1.18.16",
"description": "Effect-native confined code execution over schema-described tools",
"private": true,
"type": "module",
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-app",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"scripts": {
@@ -139,7 +139,7 @@ export async function handler(
if (
authInfo &&
opts.modelList === "lite" &&
["deepseek-v4-flash", "deepseek-v4-pro"].includes(modelInfo.id) &&
modelInfo.id === "deepseek-v4-flash" &&
!allowedRegions?.includes("cn")
)
throw new RegionError(
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/console-core",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-function",
"version": "1.18.17",
"version": "1.18.16",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-mail",
"version": "1.18.17",
"version": "1.18.16",
"dependencies": {
"@jsx-email/all": "2.2.3",
"@jsx-email/cli": "1.4.3",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/console-support",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
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@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "@opencode-ai/core",
"type": "module",
"license": "MIT",
+6 -2
View File
@@ -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.
+19 -25
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@@ -44,15 +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 = `The <prior-summary> summarizes everything that happened before the <conversation>. Construct a new summary that combines both. The <prior-summary> is discarded after this: anything you do not carry into the new summary is lost.
When combining:
- Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary> even when the <conversation> does not mention them. Drop only what is finished and no longer needed.
- The <conversation> is more recent than the <prior-summary>. Where they conflict, the conversation wins: state the corrected fact and drop the old claim.
- 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
@@ -145,33 +136,36 @@ const select = (
if (conversation.length === 0) return
let total = 0
let split = conversation.length
let splitPrefix = ""
let splitSuffix = ""
for (let index = conversation.length - 1; index >= 0; index--) {
const next = total + Token.estimate(conversation[index])
if (next > tokens) break
if (next > tokens) {
const remaining = Math.max(0, tokens - total) * 4
if (remaining > 0) {
splitPrefix = conversation[index].slice(0, -remaining)
splitSuffix = conversation[index].slice(-remaining)
split = index + 1
}
break
}
total = next
split = index
}
return {
head: conversation.slice(0, split).join("\n\n"),
recent: conversation.slice(split).join("\n\n"),
head: [...conversation.slice(0, split), splitPrefix].filter(Boolean).join("\n\n"),
recent: [splitSuffix, ...conversation.slice(split)].filter(Boolean).join("\n\n"),
}
}
export const buildPrompt = (input: { readonly previousSummary?: string; readonly context: readonly string[] }) => {
const conversation = `Here is the conversation so far:\n\n<conversation>\n${input.context.join("\n\n")}\n</conversation>`
if (!input.previousSummary)
return [
conversation,
"Create a new anchored summary from the conversation history in the <conversation> tags above so another coding agent can continue the work.",
SUMMARY_TEMPLATE,
].join("\n\n")
return [
conversation,
`Here is the summary of the conversation before the <conversation> above:\n\n<prior-summary>\n${input.previousSummary}\n</prior-summary>`,
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)
+1 -1
View File
@@ -156,7 +156,7 @@ export const Info = Schema.Struct({
}),
tail_turns: Schema.optional(NonNegativeInt).annotate({
description:
"Maximum number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction. By default retention is limited only by the preserved token budget.",
"Number of recent user turns, including their following assistant/tool responses, to keep verbatim during compaction (default: 2)",
}),
preserve_recent_tokens: Schema.optional(NonNegativeInt).annotate({
description: "Maximum number of tokens from recent turns to preserve verbatim after compaction",
@@ -4,32 +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 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("The <prior-summary> summarizes"))
expect(prompt).toContain(
"Carry forward objectives, constraints, user directives, decisions, and parallel workstreams from the <prior-summary>",
)
expect(prompt).toContain('Move completed work from "Active" to "Completed".')
expect(prompt).toContain('Update "Objective" and "Next Move" to reflect the current work state.')
})
test("compaction describes tool media without embedding base64", () => {
const base64 = "iVBORw0KGgoAAAANSUhEUgAAAAEAAAAB"
const serialized = SessionCompaction.serializeToolContent([
+1 -62
View File
@@ -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({
@@ -1145,67 +1145,6 @@ describe("SessionRunnerLLM", () => {
}),
)
it.effect("retains only complete serialized messages during compaction", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
const earlier = `EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`
const recent = `RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: earlier }), resume: false })
yield* session.resume(sessionID)
currentModel = compactModel
requests.length = 0
responses = [
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
]
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: recent }), resume: false })
yield* session.resume(sessionID)
expect(requests).toHaveLength(2)
const summary = userTexts(requests[0])[0]
const continuation = userTexts(requests[1])[0]
expect(summary.match(/EARLIER_BOUNDARY/g)).toHaveLength(1)
expect(summary).toContain(`EARLIER_BOUNDARY ${"a".repeat(3_000)} EARLIER_END`)
expect(summary).not.toContain("RECENT_BOUNDARY")
expect(continuation).not.toContain("EARLIER_BOUNDARY")
expect(continuation).not.toContain("EARLIER_END")
expect(continuation).toContain("<recent-context>\n[Assistant]: Earlier answer")
expect(continuation).toContain(`RECENT_BOUNDARY ${"b".repeat(3_000)} RECENT_END`)
}),
)
it.effect("summarizes an oversized newest message without retaining a fragment", () =>
Effect.gen(function* () {
yield* setup
const session = yield* SessionV2.Service
response = fragmentFixture("text", "text-earlier", ["Earlier answer"]).completeEvents
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Earlier question" }), resume: false })
yield* session.resume(sessionID)
const oversized = `OVERSIZED_BOUNDARY ${"x".repeat(4_500)} OVERSIZED_END`
currentModel = compactModel
requests.length = 0
responses = [
fragmentFixture("text", "text-summary", ["## Objective\n- Preserve the task"]).completeEvents,
fragmentFixture("text", "text-final", ["Continued"]).completeEvents,
]
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: oversized }), resume: false })
yield* session.resume(sessionID)
expect(requests).toHaveLength(2)
const summary = userTexts(requests[0])[0]
const continuation = userTexts(requests[1])[0]
expect(summary.match(/OVERSIZED_BOUNDARY/g)).toHaveLength(1)
expect(summary).toContain(oversized)
expect(continuation).not.toContain("OVERSIZED_BOUNDARY")
expect(continuation).not.toContain("OVERSIZED_END")
expect(continuation).toContain("<recent-context>\n\n</recent-context>")
}),
)
it.effect("forces one compaction and retries after provider context overflow", () =>
Effect.gen(function* () {
const session = yield* setupOverflowRecovery
+1 -1
View File
@@ -1,7 +1,7 @@
{
"name": "@opencode-ai/desktop",
"private": true,
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"homepage": "https://opencode.ai",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "@opencode-ai/effect-drizzle-sqlite",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "@opencode-ai/effect-sqlite-node",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/enterprise",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/function",
"version": "1.18.17",
"version": "1.18.16",
"$schema": "https://json.schemastore.org/package.json",
"private": true,
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "@opencode-ai/http-recorder",
"description": "Record and replay Effect HTTP client traffic with deterministic cassettes",
"type": "module",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "@opencode-ai/llm",
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"$schema": "https://json.schemastore.org/package.json",
"version": "1.18.17",
"version": "1.18.16",
"name": "opencode",
"type": "module",
"license": "MIT",
@@ -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.
@@ -84,8 +84,6 @@ 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
@@ -1774,7 +1772,6 @@ 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":
@@ -5,7 +5,8 @@ import { InstanceDisposed } from "@/server/event"
import "@opencode-ai/core/account"
import "@/server/event"
import { Schema } from "effect"
import { HttpApi, HttpApiEndpoint, HttpApiError, HttpApiGroup, HttpApiSchema, OpenApi } from "effect/unstable/httpapi"
import { HttpApi, HttpApiEndpoint, HttpApiError, HttpApiGroup, OpenApi } from "effect/unstable/httpapi"
import semver from "semver"
import { described } from "./metadata"
const GlobalHealth = Schema.Struct({
@@ -48,7 +49,9 @@ const GlobalEventSchema = Schema.Struct({
}).annotate({ identifier: "GlobalEvent" })
export const GlobalUpgradeInput = Schema.Struct({
target: Schema.optional(Schema.String),
target: Schema.optional(
Schema.String.check(Schema.makeFilter((value) => semver.valid(value) !== null || "Expected a semantic version")),
),
})
const GlobalUpgradeResult = Schema.Union([
@@ -121,7 +124,7 @@ export const GlobalApi = HttpApi.make("global").add(
}),
),
HttpApiEndpoint.post("upgrade", GlobalPaths.upgrade, {
payload: [HttpApiSchema.NoContent, GlobalUpgradeInput],
payload: GlobalUpgradeInput,
success: described(GlobalUpgradeResult, "Upgrade result"),
error: HttpApiError.BadRequest,
}).annotateMerge(
@@ -129,6 +129,10 @@ export const globalHandlers = HttpApiBuilder.group(RootHttpApi, "global", (handl
const upgradeRaw = Effect.fn("GlobalHttpApi.upgradeRaw")(function* (ctx: {
request: HttpServerRequest.HttpServerRequest
}) {
const contentType = ctx.request.headers["content-type"]?.split(";", 1)[0].trim().toLowerCase()
if (contentType !== "application/json") {
return HttpServerResponse.jsonUnsafe({ success: false, error: "Expected application/json" }, { status: 415 })
}
const body = yield* Effect.orDie(ctx.request.text)
const json = parseBody(body)
if (json === undefined) {
+17 -24
View File
@@ -29,8 +29,9 @@ export const PRUNE_MINIMUM = 20_000
export const PRUNE_PROTECT = 40_000
const TOOL_OUTPUT_MAX_CHARS = 2_000
const PRUNE_PROTECTED_TOOLS = ["skill"]
const DEFAULT_TAIL_TURNS = 2
const MIN_PRESERVE_RECENT_TOKENS = 2_000
const MAX_PRESERVE_RECENT_TOKENS = 15_000
const MAX_PRESERVE_RECENT_TOKENS = 8_000
type Turn = {
start: number
end: number
@@ -225,22 +226,27 @@ const layer = Layer.effect(
cfg: ConfigV1.Info
model: Provider.Model
}) {
const limit = input.cfg.compaction?.tail_turns
if (limit !== undefined && limit <= 0) return { head: input.messages, tail_start_id: undefined }
const limit = input.cfg.compaction?.tail_turns ?? DEFAULT_TAIL_TURNS
if (limit <= 0) return { head: input.messages, tail_start_id: undefined }
const budget = preserveRecentBudget({ cfg: input.cfg, model: input.model })
const all = turns(input.messages)
if (!all.length) return { head: input.messages, tail_start_id: undefined }
const recent = limit === undefined ? all : all.slice(-limit)
const recent = all.slice(-limit)
const sizes = yield* Effect.forEach(
recent,
(turn) =>
estimate({
messages: input.messages.slice(turn.start, turn.end),
model: input.model,
}),
{ concurrency: 1 },
)
let total = 0
let keep: Tail | undefined
for (let i = recent.length - 1; i >= 0; i--) {
const turn = recent[i]!
// estimate lazily so cost stays proportional to the retained tail, not the whole session
const size = yield* estimate({
messages: input.messages.slice(turn.start, turn.end),
model: input.model,
})
const size = sizes[i]
if (total + size <= budget) {
total += size
keep = { start: turn.start, id: turn.id }
@@ -375,20 +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(),
@@ -434,10 +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"),
},
@@ -1548,33 +1548,6 @@ 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",
@@ -3370,7 +3370,6 @@ 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
@@ -5556,25 +5555,6 @@ 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> = {}) =>
({
@@ -43,9 +43,12 @@ const apiLayer = HttpRouter.serve(
const it = testEffect(apiLayer)
describe("global HttpApi", () => {
it.live("upgrades to latest when the request body is omitted", () =>
it.live("upgrades to latest with an empty JSON payload", () =>
Effect.gen(function* () {
const response = yield* HttpClient.post(GlobalPaths.upgrade)
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
HttpClientRequest.bodyJson({}),
Effect.flatMap(HttpClient.execute),
)
expect(response.status).toBe(200)
expect(yield* response.json).toEqual({ success: true, version: "9.9.9" })
@@ -63,4 +66,40 @@ describe("global HttpApi", () => {
expect(yield* response.json).toEqual({ success: false, error: "Invalid request body" })
}),
)
it.live("rejects non-JSON upgrade payloads", () =>
Effect.gen(function* () {
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
HttpClientRequest.setBody(HttpBody.text('{"target":"1.2.3"}', "text/plain")),
HttpClient.execute,
)
expect(response.status).toBe(415)
expect(yield* response.json).toEqual({ success: false, error: "Expected application/json" })
}),
)
it.live("rejects non-semver upgrade targets", () =>
Effect.gen(function* () {
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
HttpClientRequest.bodyJson({ target: "latest" }),
Effect.flatMap(HttpClient.execute),
)
expect(response.status).toBe(400)
expect(yield* response.json).toEqual({ success: false, error: "Invalid request body" })
}),
)
it.live("accepts semantic version upgrade targets", () =>
Effect.gen(function* () {
const response = yield* HttpClientRequest.post(GlobalPaths.upgrade).pipe(
HttpClientRequest.bodyJson({ target: "1.2.3-beta.1" }),
Effect.flatMap(HttpClient.execute),
)
expect(response.status).toBe(200)
expect(yield* response.json).toEqual({ success: true, version: "1.2.3-beta.1" })
}),
)
})
@@ -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",
@@ -1403,21 +1389,11 @@ 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")
expect(captured).not.toContain("What did we do so far?")
}).pipe(
withCompaction({
llm: stub.llmLayer,
config: cfg({ tail_turns: 2, preserve_recent_tokens: 10_000 }),
}),
)
}).pipe(withCompaction({ llm: stub.llmLayer }))
},
{ git: true },
)
@@ -1454,11 +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("<prior-summary>"))
expect(captured).toContain("summary of the conversation before the <conversation> above")
expect(captured).toContain("## Important Details")
expect(captured).toContain("## Work State")
}).pipe(withCompaction({ llm: stub.llmLayer }))
@@ -1466,49 +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",
() => {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/plugin",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/sdk",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/server",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/session-ui",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/slack",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"scripts": {
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/stats-app",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -2
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/stats-core",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
@@ -12,7 +12,6 @@
"./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"
},
@@ -1,5 +1,5 @@
import { describe, expect, test } from "bun:test"
import { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
import { toGeoAggregate, toModelAggregate, toProviderAggregate } from "./inference"
import { modelAuthor, normalizeInferenceModel, statModel, statProvider } from "./model-normalization"
describe("inference stat normalization", () => {
@@ -82,55 +82,6 @@ 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")
})
test("aligns periods to UTC calendar boundaries", () => {
const queries = buildStatsQueries(new Date("2026-06-17T15:56:00.000Z"), new Date("2026-06-19T15:56:00.000Z"), {
namespace: "inference",
table: "generation",
dataset: "zen",
})
expect(queries).toHaveLength(8)
expect(queries[0]).toContain("'2026-W25' AS period_key")
expect(queries[0]).toContain("started_at >= '2026-06-15T00:00:00.000Z'")
expect(queries[2]).toContain("'2026-06-17' AS period_key")
expect(queries[2]).toContain("started_at >= '2026-06-17T00:00:00.000Z'")
expect(queries[2]).toContain("started_at < '2026-06-18T00:00:00.000Z'")
expect(queries[6]).toContain("'2026-06-19' AS period_key")
expect(queries[6]).toContain("started_at < '2026-06-19T15:56:00.000Z'")
})
test("uses an exclusive live and legacy source handoff", () => {
const [query] = buildStatsQueries(new Date("2026-08-11T00:00:00.000Z"), new Date("2026-08-12T00:00:00.000Z"), {
namespace: "inference",
table: "generation",
dataset: "zen",
})
expect(query).toContain("(source = 'inference-legacy' AND started_at < '2026-08-11T10:57:48.186Z')")
expect(query).toContain("(source = 'inference' AND started_at >= '2026-08-11T10:57:48.186Z')")
})
})
function aggregate(model: string, provider: string) {
+105 -147
View File
@@ -1,5 +1,5 @@
import { Resource } from "sst/resource"
import type { R2SqlData } from "../r2-sql"
import type { AthenaData } from "../athena"
import type { GeoStatAggregate } from "./geo"
import type { ModelStatAggregate } from "./model"
import {
@@ -10,80 +10,25 @@ import {
statProvider,
} from "./model-normalization"
import type { ProviderStatAggregate } from "./provider"
import {
normalizeCountry,
normalizeTier,
periodKeyFor,
startOfIsoWeek,
startOfUtcDay,
type StatBaseAggregate,
} from "./stat"
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"
const DAY_MS = 86_400_000
const WEEK_MS = 7 * DAY_MS
// The typed production stream began before the legacy backfill's original end
// boundary. Use one exclusive handoff so the overlapping rows are never counted
// from both sources.
const LIVE_SOURCE_START = "2026-08-11T10:57:48.186Z"
// 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)`
// 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 aggregateColumns = `
${distinctColumns},
COUNT(DISTINCT session) AS sessions,
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,
@@ -93,61 +38,65 @@ function buildStatsQuery(
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,
null AS p50_duration_ms,
null AS p95_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,
AVG(ttfb_ms) AS avg_ttfb_ms,
null AS p50_ttfb_ms,
null AS p95_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,
AVG(output_tps) AS avg_output_tps,
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,
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,
COUNT(*) AS sample_count`
return `
WITH normalized AS (
SELECT
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,
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,
COALESCE(NULLIF(user_id, ''), '') AS user_id,
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,
status,
duration AS duration_ms,
time_to_first_byte AS ttfb_ms,
timestamp_first_byte,
timestamp_last_byte,
tokens_input,
tokens_output,
tokens_reasoning,
tokens_cache_read,
tokens_cache_write,
cost_input AS cost_input_microcents,
cost_output AS cost_output_microcents,
cost_total AS cost_total_microcents
tokens_cache_write_5m,
tokens_cache_write_1h,
cost_input_microcents,
cost_output_microcents,
cost_total_microcents,
cost_input,
cost_output,
cost_total,
source
FROM ${sourceTable}
WHERE event_type = 'generation.completed'
AND source IN ('inference', 'inference-legacy')
AND (
(source = 'inference-legacy' AND started_at < ${sqlString(LIVE_SOURCE_START)})
OR (source = 'inference' AND started_at >= ${sqlString(LIVE_SOURCE_START)})
)
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}
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 < ${periodEndValue}
), filtered AS (
SELECT
'Go' AS tier,
event_time,
CASE
WHEN source = 'lite' THEN 'Go'
WHEN raw_model IN ('gpt-5-nano', 'grok-code', 'big-pickle') OR regexp_like(raw_model, '-free(:global)?$') THEN 'Free'
ELSE 'Paid'
END AS tier,
${statProviderSql("model", "provider_model", "raw_provider")} AS provider,
provider_model,
model,
@@ -155,39 +104,63 @@ WITH normalized AS (
continent,
session,
COALESCE(NULLIF(user_id, ''), NULLIF(workspace, ''), NULLIF(api_key, '')) AS user_key,
outcome,
status,
duration_ms,
ttfb_ms,
CASE
WHEN output_seconds < 0.1 THEN null
ELSE CAST(tokens_output AS double) / output_seconds
WHEN timestamp_last_byte - timestamp_first_byte < 100 THEN null
ELSE CAST(tokens_output AS double) / (timestamp_last_byte - timestamp_first_byte) * 1000
END AS output_tps,
tokens_input,
tokens_output,
tokens_reasoning,
tokens_cache_read,
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
cost_input_microcents,
cost_output_microcents,
cost_total_microcents
COALESCE(tokens_cache_read, 0) + COALESCE(tokens_cache_write_5m, 0) + COALESCE(tokens_cache_write_1h, 0) + COALESCE(tokens_input, 0) + COALESCE(tokens_output, 0) AS tokens_total,
COALESCE(cost_input_microcents, cost_input * 1000000) AS cost_input_microcents,
COALESCE(cost_output_microcents, cost_output * 1000000) AS cost_output_microcents,
COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
FROM normalized
WHERE lower(model) NOT IN (${[...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
${sqlString(period.grain)} AS grain,
${sqlString(period.key)} AS period_key,
${sqlString(source.dataset)} AS dataset,
${dimensions},
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,
${aggregateColumns}
FROM filtered
FROM periods
GROUP BY GROUPING SETS (
${groupingSets}
(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)
)
LIMIT 10000
ORDER BY grain, period_key, total_tokens DESC
`
}
export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
export function toModelAggregate(data: AthenaData): ModelStatAggregate[] {
const model = statModel(data.model, data.provider_model)
const provider = statProvider(model, data.provider_model, data.provider)
if (!provider) return []
@@ -197,13 +170,13 @@ export function toModelAggregate(data: R2SqlData): ModelStatAggregate[] {
])
}
export function toProviderAggregate(data: R2SqlData): ProviderStatAggregate[] {
export function toProviderAggregate(data: AthenaData): ProviderStatAggregate[] {
return toStatBaseAggregate(data).flatMap((base) => [
{ ...base, provider: statProvider(data.model, data.provider_model, data.provider) || "unknown" },
])
}
export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
export function toGeoAggregate(data: AthenaData): GeoStatAggregate[] {
return toStatBaseAggregate(data).flatMap((base) => [
{
...base,
@@ -215,7 +188,7 @@ export function toGeoAggregate(data: R2SqlData): GeoStatAggregate[] {
])
}
function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
function toStatBaseAggregate(data: AthenaData): StatBaseAggregate[] {
const grain = data.grain === "day" || data.grain === "week" ? data.grain : undefined
if (!grain || !data.period_key) return []
@@ -250,21 +223,21 @@ function toStatBaseAggregate(data: R2SqlData): StatBaseAggregate[] {
]
}
function integer(data: R2SqlData, key: string) {
function integer(data: AthenaData, key: string) {
return Math.round(number(data, key))
}
function nullableNumber(data: R2SqlData, key: string) {
function nullableNumber(data: AthenaData, key: string) {
if (data[key] === undefined || data[key] === "") return null
return Number(number(data, key).toFixed(2))
}
function nullableInteger(data: R2SqlData, key: string) {
function nullableInteger(data: AthenaData, key: string) {
if (data[key] === undefined || data[key] === "") return null
return Math.round(number(data, key))
}
function number(data: R2SqlData, key: string) {
function number(data: AthenaData, key: string) {
const value = Number(data[key])
return Number.isFinite(value) ? value : 0
}
@@ -277,21 +250,6 @@ 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 first = grain === "day" ? startOfUtcDay(periodStart) : startOfIsoWeek(periodStart)
const count = Math.max(0, Math.ceil((periodEnd.getTime() - first.getTime()) / interval))
return Array.from({ length: count }, (_, index) => {
const start = new Date(first.getTime() + index * interval)
return {
grain,
key: periodKeyFor(grain, start),
start,
end: new Date(Math.min(start.getTime() + interval, periodEnd.getTime())),
}
})
}
function statModelSql(model: string, providerModel: string) {
return `COALESCE(NULLIF(regexp_replace(CASE
WHEN lower(${model}) = 'big-pickle' THEN NULLIF(${providerModel}, '')
-105
View File
@@ -1,105 +0,0 @@
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)]])),
),
)
}),
}),
)
}
-11
View File
@@ -11,17 +11,6 @@ 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"
+13 -14
View File
@@ -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 { buildStatsQueries, toGeoAggregate, toModelAggregate, toProviderAggregate } from "./domain/inference"
import { buildStatsQuery, 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()
@@ -18,25 +18,23 @@ 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 = R2SqlQueryError | DatabaseError
export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
export const syncStats: (options?: {
full?: boolean
}) => Effect.Effect<SyncStatsResult, SyncStatsError, R2Sql | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | 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 r2Sql = yield* R2Sql
const athena = yield* Athena
const modelStats = yield* ModelStatRepo
const providerStats = yield* ProviderStatRepo
const geoStats = yield* GeoStatRepo
yield* logRuntimeCheck()
const rows = yield* Effect.forEach(buildStatsQueries(periodStart, periodEnd), r2Sql.query, {
concurrency: 4,
}).pipe(Effect.map((batches) => batches.flat()))
const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
const providerRows = providerRowsFromAggregates(
rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
@@ -79,7 +77,7 @@ export const syncStats: (options?: {
}
})
// May 27 was partial, so keep stats anchored at the first complete day.
// May 27 was partial, so keep Athena stats anchored at the first complete day.
function fullPeriodStart(periodEnd: Date) {
return new Date(
Math.max(
@@ -101,12 +99,13 @@ function incrementalPeriodStart(periodEnd: Date) {
function logRuntimeCheck() {
return Effect.logInfo(
`r2 sql stats runtime check ${JSON.stringify({
accountId: Resource.R2Sql.accountId,
bucket: Resource.R2Sql.bucket,
`athena stats runtime check ${JSON.stringify({
catalog: Resource.InferenceEvent.catalog,
database: Resource.InferenceEvent.database,
dataset: Resource.StatsSyncConfig.dataset,
namespace: Resource.R2Sql.namespace,
table: Resource.R2Sql.table,
table: Resource.InferenceEvent.table,
workgroup: Resource.InferenceEvent.workgroup,
region: Resource.InferenceEvent.region,
stage: Resource.App.stage,
})}`,
)
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/stats-server",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+5 -5
View File
@@ -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, R2Sql.layer)
const runtimeLayer = Layer.mergeAll(statsLayer, Athena.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 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.
// 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.
const initialDelay = Effect.fnUntraced(function* () {
const modelStats = yield* ModelStatRepo
const lastSynced = yield* modelStats.lastSyncedAt().pipe(Effect.catchCause(() => Effect.succeed(null)))
+1 -1
View File
@@ -1,7 +1,7 @@
{
"$schema": "https://json.schemastore.org/package.json",
"name": "@opencode-ai/tui",
"version": "1.18.17",
"version": "1.18.16",
"private": true,
"type": "module",
"license": "MIT",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@opencode-ai/ui",
"version": "1.18.17",
"version": "1.18.16",
"type": "module",
"license": "MIT",
"repository": {
+1 -1
View File
@@ -2,7 +2,7 @@
"name": "@opencode-ai/web",
"type": "module",
"license": "MIT",
"version": "1.18.17",
"version": "1.18.16",
"scripts": {
"dev": "astro dev",
"dev:remote": "VITE_API_URL=https://api.opencode.ai astro dev",
-3
View File
@@ -90,7 +90,6 @@ 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` |
@@ -179,8 +178,6 @@ 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 | - |
-3
View File
@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
+1 -1
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@@ -17,7 +17,7 @@ You can also check out [awesome-opencode](https://github.com/awesome-opencode/aw
| Name | Description |
| -------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- |
| [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-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-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 |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
+1 -1
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@@ -97,7 +97,7 @@ Or you can set it up manually.
issues: write
```
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.
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.
---
+3 -3
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@@ -252,13 +252,13 @@ https://opencode.ai/zen/go/v1/models
| Qwen3.6 Plus | Not used | 0 days |
| MiniMax M3 | Not used | 0 days |
| MiniMax M2.7 | Not used | 0 days |
| DeepSeek V4 Pro | Not used | 0 days\* |
| DeepSeek V4 Flash | Not used | 0 days\* |
| DeepSeek V4 Pro | Not used | 0 days |
| DeepSeek V4 Flash | Not used | 0 days |
| Hy3 | Not used | 0 days |
- **Grok 4.5:** ZDR disables important API features that depend on stored data, including the stateful Responses API, Files and Collections, and the Batch API. [Learn more](https://docs.x.ai/developers/faq/security#what-is-zero-data-retention-zdr).
- **GPT 5.6 Luna:** Abuse monitoring logs are generated for all API feature usage and retained for up to 30 days. [Learn more](https://developers.openai.com/api/docs/guides/your-data#data-retention-controls-for-abuse-monitoring).
- **DeepSeek:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
- **DeepSeek V4 Flash:** ZDR agreement is renewed monthly. The current agreement is valid through August 31, 2026.
---
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
-3
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@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
+3 -3
View File
@@ -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/inference/how-to/use-inference-router/) 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/genai-platform/concepts/inference-routers/) 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 Provider Display Name",
"name": "My AI ProviderDisplay 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 Provider Display Name",
"name": "My AI ProviderDisplay Name",
"options": {
"baseURL": "https://api.myprovider.com/v1",
"apiKey": "{env:ANTHROPIC_API_KEY}",
@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
-3
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@@ -88,7 +88,6 @@ 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` |
@@ -177,8 +176,6 @@ 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 | - |
-3
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@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
-3
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@@ -95,7 +95,6 @@ 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` |
@@ -186,8 +185,6 @@ 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 | - |
@@ -86,7 +86,6 @@ 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` |
@@ -175,8 +174,6 @@ 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 | - |
@@ -90,7 +90,6 @@ 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` |
@@ -180,8 +179,6 @@ 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 | - |
+1 -1
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@@ -2,7 +2,7 @@
"name": "opencode",
"displayName": "opencode",
"description": "opencode for VS Code",
"version": "1.18.17",
"version": "1.18.16",
"publisher": "sst-dev",
"repository": {
"type": "git",