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Merge pull request #3376 from matchai/feat/vercel-ai-gateway

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feat(provider): add Vercel AI Gateway support
This commit is contained in:
YeonGyu-Kim
2026-04-13 15:58:29 +09:00
committed by GitHub
parent 680d05a28b e3b5c2be2e
commit f1cd4d73d6
22 changed files with 967 additions and 112 deletions
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src/cli/__snapshots__/model-fallback.test.ts.snap
+584
View File
@@ -4137,3 +4137,587 @@ exports[`generateModelConfig mixed provider scenarios uses all providers with is
}, },
} }
`; `;
exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strings when only Vercel AI Gateway is available 1`] = `
{
"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-opencode.schema.json",
"agents": {
"atlas": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
"explore": {
"fallback_models": [
{
"model": "vercel/xai/grok-code-fast-1",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/minimax/minimax-m2.7-highspeed",
},
"hephaestus": {
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"librarian": {
"fallback_models": [
{
"model": "vercel/minimax/minimax-m2.7-highspeed",
},
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/minimax/minimax-m2.7",
},
"metis": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"momus": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "xhigh",
},
"multimodal-looker": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/zai/glm-4.6v",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"oracle": {
"fallback_models": [
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
"prometheus": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"sisyphus": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"sisyphus-junior": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
},
"categories": {
"artistry": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/openai/gpt-5.4",
},
],
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
"deep": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"quick": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/google/gemini-3-flash",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/openai/gpt-5.4-mini",
},
"ultrabrain": {
"fallback_models": [
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "xhigh",
},
"unspecified-high": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.3-codex",
"variant": "medium",
},
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/google/gemini-3-flash",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
"unspecified-low": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.3-codex",
"variant": "medium",
},
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/google/gemini-3-flash",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
"visual-engineering": {
"fallback_models": [
{
"model": "vercel/zai/glm-5",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
],
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
"writing": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/anthropic/claude-sonnet-4.6",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/google/gemini-3-flash",
},
},
}
`;
exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strings with isMax20 flag 1`] = `
{
"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-opencode.schema.json",
"agents": {
"atlas": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
"explore": {
"fallback_models": [
{
"model": "vercel/xai/grok-code-fast-1",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/minimax/minimax-m2.7-highspeed",
},
"hephaestus": {
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"librarian": {
"fallback_models": [
{
"model": "vercel/minimax/minimax-m2.7-highspeed",
},
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/minimax/minimax-m2.7",
},
"metis": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"momus": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "xhigh",
},
"multimodal-looker": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/zai/glm-4.6v",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"oracle": {
"fallback_models": [
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
"prometheus": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"sisyphus": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"sisyphus-junior": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
},
"categories": {
"artistry": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/openai/gpt-5.4",
},
],
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
"deep": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "medium",
},
"quick": {
"fallback_models": [
{
"model": "vercel/anthropic/claude-haiku-4.5",
},
{
"model": "vercel/google/gemini-3-flash",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
{
"model": "vercel/openai/gpt-5-nano",
},
],
"model": "vercel/openai/gpt-5.4-mini",
},
"ultrabrain": {
"fallback_models": [
{
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
{
"model": "vercel/zai/glm-5",
},
],
"model": "vercel/openai/gpt-5.4",
"variant": "xhigh",
},
"unspecified-high": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.4",
"variant": "high",
},
{
"model": "vercel/zai/glm-5",
},
{
"model": "vercel/moonshotai/kimi-k2.5",
},
],
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
"unspecified-low": {
"fallback_models": [
{
"model": "vercel/openai/gpt-5.3-codex",
"variant": "medium",
},
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/google/gemini-3-flash",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/anthropic/claude-sonnet-4.6",
},
"visual-engineering": {
"fallback_models": [
{
"model": "vercel/zai/glm-5",
},
{
"model": "vercel/anthropic/claude-opus-4.6",
"variant": "max",
},
],
"model": "vercel/google/gemini-3.1-pro-preview",
"variant": "high",
},
"writing": {
"fallback_models": [
{
"model": "vercel/moonshotai/kimi-k2.5",
},
{
"model": "vercel/anthropic/claude-sonnet-4.6",
},
{
"model": "vercel/minimax/minimax-m2.7",
},
],
"model": "vercel/google/gemini-3-flash",
},
},
}
`;
src/cli/cli-installer.telemetry.test.ts
+1
View File
@@ -22,6 +22,7 @@ describe("runCliInstaller telemetry isolation", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true), spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true),
spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"), spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"),
src/cli/cli-installer.test.ts
+2
View File
@@ -37,6 +37,7 @@ describe("runCliInstaller", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true), spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true),
spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.3.9"), spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.3.9"),
@@ -83,6 +84,7 @@ describe("runCliInstaller", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true), spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true),
spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"), spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"),
src/cli/cli-installer.ts
+2 -1
View File
@@ -138,7 +138,8 @@ export async function runCliInstaller(args: InstallArgs, version: string): Promi
!config.hasOpenAI && !config.hasOpenAI &&
!config.hasGemini && !config.hasGemini &&
!config.hasCopilot && !config.hasCopilot &&
!config.hasOpencodeZen !config.hasOpencodeZen &&
!config.hasVercelAiGateway
) { ) {
printWarning("No model providers configured. Using opencode/big-pickle as fallback.") printWarning("No model providers configured. Using opencode/big-pickle as fallback.")
} }
src/cli/cli-program.ts
+5 -2
View File
@@ -33,6 +33,7 @@ program
.option("--zai-coding-plan <value>", "Z.ai Coding Plan subscription: no, yes (default: no)") .option("--zai-coding-plan <value>", "Z.ai Coding Plan subscription: no, yes (default: no)")
.option("--kimi-for-coding <value>", "Kimi For Coding subscription: no, yes (default: no)") .option("--kimi-for-coding <value>", "Kimi For Coding subscription: no, yes (default: no)")
.option("--opencode-go <value>", "OpenCode Go subscription: no, yes (default: no)") .option("--opencode-go <value>", "OpenCode Go subscription: no, yes (default: no)")
.option("--vercel-ai-gateway <value>", "Vercel AI Gateway: no, yes (default: no)")
.option("--skip-auth", "Skip authentication setup hints") .option("--skip-auth", "Skip authentication setup hints")
.addHelpText("after", ` .addHelpText("after", `
Examples: Examples:
@@ -40,14 +41,15 @@ Examples:
$ bunx oh-my-opencode install --no-tui --claude=max20 --openai=yes --gemini=yes --copilot=no $ bunx oh-my-opencode install --no-tui --claude=max20 --openai=yes --gemini=yes --copilot=no
$ bunx oh-my-opencode install --no-tui --claude=no --gemini=no --copilot=yes --opencode-zen=yes $ bunx oh-my-opencode install --no-tui --claude=no --gemini=no --copilot=yes --opencode-zen=yes
Model Providers (Priority: Native > Copilot > OpenCode Zen > Z.ai > Kimi): Model Providers (Priority: Native > Copilot > OpenCode Zen > Z.ai > Kimi > Vercel):
Claude Native anthropic/ models (Opus, Sonnet, Haiku) Claude Native anthropic/ models (Opus, Sonnet, Haiku)
OpenAI Native openai/ models (GPT-5.4 for Oracle) OpenAI Native openai/ models (GPT-5.4 for Oracle)
Gemini Native google/ models (Gemini 3.1 Pro, Flash) Gemini Native google/ models (Gemini 3.1 Pro, Flash)
Copilot github-copilot/ models (fallback) Copilot github-copilot/ models (fallback)
OpenCode Zen opencode/ models (opencode/claude-opus-4-6, etc.) OpenCode Zen opencode/ models (opencode/claude-opus-4-6, etc.)
Z.ai zai-coding-plan/glm-5 (visual-engineering fallback) Z.ai zai-coding-plan/glm-5 (visual-engineering fallback)
Kimi kimi-for-coding/k2p5 (Sisyphus/Prometheus fallback) Kimi kimi-for-coding/k2p5 (Sisyphus/Prometheus fallback)
Vercel vercel/ models (universal proxy, always last fallback)
`) `)
.action(async (options) => { .action(async (options) => {
const args: InstallArgs = { const args: InstallArgs = {
@@ -60,6 +62,7 @@ Model Providers (Priority: Native > Copilot > OpenCode Zen > Z.ai > Kimi):
zaiCodingPlan: options.zaiCodingPlan, zaiCodingPlan: options.zaiCodingPlan,
kimiForCoding: options.kimiForCoding, kimiForCoding: options.kimiForCoding,
opencodeGo: options.opencodeGo, opencodeGo: options.opencodeGo,
vercelAiGateway: options.vercelAiGateway,
skipAuth: options.skipAuth ?? false, skipAuth: options.skipAuth ?? false,
} }
const exitCode = await install(args) const exitCode = await install(args)
src/cli/config-manager/detect-current-config.ts
+9 -2
View File
@@ -12,6 +12,7 @@ function detectProvidersFromOmoConfig(): {
hasZaiCodingPlan: boolean hasZaiCodingPlan: boolean
hasKimiForCoding: boolean hasKimiForCoding: boolean
hasOpencodeGo: boolean hasOpencodeGo: boolean
hasVercelAiGateway: boolean
} { } {
const omoConfigPath = getOmoConfigPath() const omoConfigPath = getOmoConfigPath()
if (!existsSync(omoConfigPath)) { if (!existsSync(omoConfigPath)) {
@@ -21,6 +22,7 @@ function detectProvidersFromOmoConfig(): {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
} }
@@ -34,6 +36,7 @@ function detectProvidersFromOmoConfig(): {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
} }
@@ -43,8 +46,9 @@ function detectProvidersFromOmoConfig(): {
const hasZaiCodingPlan = configStr.includes('"zai-coding-plan/') const hasZaiCodingPlan = configStr.includes('"zai-coding-plan/')
const hasKimiForCoding = configStr.includes('"kimi-for-coding/') const hasKimiForCoding = configStr.includes('"kimi-for-coding/')
const hasOpencodeGo = configStr.includes('"opencode-go/') const hasOpencodeGo = configStr.includes('"opencode-go/')
const hasVercelAiGateway = configStr.includes('"vercel/')
return { hasOpenAI, hasOpencodeZen, hasZaiCodingPlan, hasKimiForCoding, hasOpencodeGo } return { hasOpenAI, hasOpencodeZen, hasZaiCodingPlan, hasKimiForCoding, hasOpencodeGo, hasVercelAiGateway }
} catch { } catch {
return { return {
hasOpenAI: true, hasOpenAI: true,
@@ -52,6 +56,7 @@ function detectProvidersFromOmoConfig(): {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
} }
} }
@@ -78,6 +83,7 @@ export function detectCurrentConfig(): DetectedConfig {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
const { format, path } = detectConfigFormat() const { format, path } = detectConfigFormat()
@@ -106,12 +112,13 @@ export function detectCurrentConfig(): DetectedConfig {
const providers = openCodeConfig.provider as Record<string, unknown> | undefined const providers = openCodeConfig.provider as Record<string, unknown> | undefined
result.hasGemini = providers ? "google" in providers : false result.hasGemini = providers ? "google" in providers : false
const { hasOpenAI, hasOpencodeZen, hasZaiCodingPlan, hasKimiForCoding, hasOpencodeGo } = detectProvidersFromOmoConfig() const { hasOpenAI, hasOpencodeZen, hasZaiCodingPlan, hasKimiForCoding, hasOpencodeGo, hasVercelAiGateway } = detectProvidersFromOmoConfig()
result.hasOpenAI = hasOpenAI result.hasOpenAI = hasOpenAI
result.hasOpencodeZen = hasOpencodeZen result.hasOpencodeZen = hasOpencodeZen
result.hasZaiCodingPlan = hasZaiCodingPlan result.hasZaiCodingPlan = hasZaiCodingPlan
result.hasKimiForCoding = hasKimiForCoding result.hasKimiForCoding = hasKimiForCoding
result.hasOpencodeGo = hasOpencodeGo result.hasOpencodeGo = hasOpencodeGo
result.hasVercelAiGateway = hasVercelAiGateway
return result return result
} }
src/cli/config-manager/generate-omo-config.test.ts
+10 -3
View File
@@ -18,6 +18,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -42,6 +43,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -64,6 +66,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: true, hasZaiCodingPlan: true,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -71,7 +74,7 @@ describe("generateOmoConfig - model fallback system", () => {
//#then //#then
expect((result.agents as Record<string, { model: string }>).librarian.model).toBe("zai-coding-plan/glm-4.7") expect((result.agents as Record<string, { model: string }>).librarian.model).toBe("zai-coding-plan/glm-4.7")
expect((result.agents as Record<string, { model: string }>).sisyphus.model).toBe("anthropic/claude-opus-4-6") expect((result.agents as Record<string, { model: string }>).sisyphus.model).toBe("anthropic/claude-opus-4.6")
}) })
test("uses native OpenAI models when only ChatGPT available", () => { test("uses native OpenAI models when only ChatGPT available", () => {
@@ -86,6 +89,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -110,6 +114,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -126,7 +131,7 @@ describe("generateOmoConfig - model fallback system", () => {
}> }>
//#then //#then
expect(agents.sisyphus.model).toBe("anthropic/claude-opus-4-6") expect(agents.sisyphus.model).toBe("anthropic/claude-opus-4.6")
expect(agents.sisyphus.fallback_models).toEqual([ expect(agents.sisyphus.fallback_models).toEqual([
{ {
model: "openai/gpt-5.4", model: "openai/gpt-5.4",
@@ -136,7 +141,7 @@ describe("generateOmoConfig - model fallback system", () => {
expect(categories.deep.model).toBe("openai/gpt-5.4") expect(categories.deep.model).toBe("openai/gpt-5.4")
expect(categories.deep.fallback_models).toEqual([ expect(categories.deep.fallback_models).toEqual([
{ {
model: "anthropic/claude-opus-4-6", model: "anthropic/claude-opus-4.6",
variant: "max", variant: "max",
}, },
]) ])
@@ -154,6 +159,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
@@ -175,6 +181,7 @@ describe("generateOmoConfig - model fallback system", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
//#when //#when
src/cli/config-manager/write-omo-config.test.ts
+1
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@@ -20,6 +20,7 @@ const installConfig: InstallConfig = {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
} }
function getRecord(value: unknown): Record<string, unknown> { function getRecord(value: unknown): Record<string, unknown> {
src/cli/install-validators.ts
+8
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@@ -40,6 +40,7 @@ export function formatConfigSummary(config: InstallConfig): string {
lines.push(formatProvider("OpenCode Zen", config.hasOpencodeZen, "opencode/ models")) lines.push(formatProvider("OpenCode Zen", config.hasOpencodeZen, "opencode/ models"))
lines.push(formatProvider("Z.ai Coding Plan", config.hasZaiCodingPlan, "Librarian/Multimodal")) lines.push(formatProvider("Z.ai Coding Plan", config.hasZaiCodingPlan, "Librarian/Multimodal"))
lines.push(formatProvider("Kimi For Coding", config.hasKimiForCoding, "Sisyphus/Prometheus fallback")) lines.push(formatProvider("Kimi For Coding", config.hasKimiForCoding, "Sisyphus/Prometheus fallback"))
lines.push(formatProvider("Vercel AI Gateway", config.hasVercelAiGateway, "universal proxy"))
lines.push("") lines.push("")
lines.push(color.dim("─".repeat(40))) lines.push(color.dim("─".repeat(40)))
@@ -153,6 +154,10 @@ export function validateNonTuiArgs(args: InstallArgs): { valid: boolean; errors:
errors.push(`Invalid --kimi-for-coding value: ${args.kimiForCoding} (expected: no, yes)`) errors.push(`Invalid --kimi-for-coding value: ${args.kimiForCoding} (expected: no, yes)`)
} }
if (args.vercelAiGateway !== undefined && !["no", "yes"].includes(args.vercelAiGateway)) {
errors.push(`Invalid --vercel-ai-gateway value: ${args.vercelAiGateway} (expected: no, yes)`)
}
return { valid: errors.length === 0, errors } return { valid: errors.length === 0, errors }
} }
@@ -167,6 +172,7 @@ export function argsToConfig(args: InstallArgs): InstallConfig {
hasZaiCodingPlan: args.zaiCodingPlan === "yes", hasZaiCodingPlan: args.zaiCodingPlan === "yes",
hasKimiForCoding: args.kimiForCoding === "yes", hasKimiForCoding: args.kimiForCoding === "yes",
hasOpencodeGo: args.opencodeGo === "yes", hasOpencodeGo: args.opencodeGo === "yes",
hasVercelAiGateway: args.vercelAiGateway === "yes",
} }
} }
@@ -179,6 +185,7 @@ export function detectedToInitialValues(detected: DetectedConfig): {
zaiCodingPlan: BooleanArg zaiCodingPlan: BooleanArg
kimiForCoding: BooleanArg kimiForCoding: BooleanArg
opencodeGo: BooleanArg opencodeGo: BooleanArg
vercelAiGateway: BooleanArg
} { } {
let claude: ClaudeSubscription = "no" let claude: ClaudeSubscription = "no"
if (detected.hasClaude) { if (detected.hasClaude) {
@@ -194,5 +201,6 @@ kimiForCoding: BooleanArg
zaiCodingPlan: detected.hasZaiCodingPlan ? "yes" : "no", zaiCodingPlan: detected.hasZaiCodingPlan ? "yes" : "no",
kimiForCoding: detected.hasKimiForCoding ? "yes" : "no", kimiForCoding: detected.hasKimiForCoding ? "yes" : "no",
opencodeGo: detected.hasOpencodeGo ? "yes" : "no", opencodeGo: detected.hasOpencodeGo ? "yes" : "no",
vercelAiGateway: detected.hasVercelAiGateway ? "yes" : "no",
} }
} }
src/cli/model-fallback-types.ts
+1
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@@ -11,6 +11,7 @@ export interface ProviderAvailability {
zai: boolean zai: boolean
kimiForCoding: boolean kimiForCoding: boolean
opencodeGo: boolean opencodeGo: boolean
vercelAiGateway: boolean
isMaxPlan: boolean isMaxPlan: boolean
} }
src/cli/model-fallback.test.ts
+69
View File
@@ -16,6 +16,7 @@ function createConfig(overrides: Partial<InstallConfig> = {}): InstallConfig {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
...overrides, ...overrides,
} }
} }
@@ -607,6 +608,74 @@ describe("generateModelConfig", () => {
}) })
}) })
describe("Vercel AI Gateway provider", () => {
test("uses vercel/ model strings when only Vercel AI Gateway is available", () => {
// #given only Vercel AI Gateway is available
const config = createConfig({ hasVercelAiGateway: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then should use vercel/<sub-provider>/<model> format
expect(result).toMatchSnapshot()
})
test("uses vercel/ model strings with isMax20 flag", () => {
// #given Vercel AI Gateway is available with Max 20 plan
const config = createConfig({ hasVercelAiGateway: true, isMax20: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then should use higher capability models via gateway
expect(result).toMatchSnapshot()
})
test("explore uses vercel/minimax/minimax-m2.7-highspeed when only gateway available", () => {
// #given only Vercel AI Gateway is available
const config = createConfig({ hasVercelAiGateway: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then explore should use gateway-routed minimax (preferred over claude-haiku)
expect(result.agents?.explore?.model).toBe("vercel/minimax/minimax-m2.7-highspeed")
})
test("librarian uses vercel/minimax/minimax-m2.7 when only gateway available", () => {
// #given only Vercel AI Gateway is available
const config = createConfig({ hasVercelAiGateway: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then librarian should use gateway-routed minimax (preferred over claude-haiku)
expect(result.agents?.librarian?.model).toBe("vercel/minimax/minimax-m2.7")
})
test("Hephaestus is created when only Vercel AI Gateway is available", () => {
// #given only Vercel AI Gateway is available
const config = createConfig({ hasVercelAiGateway: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then hephaestus should be created with gateway-routed gpt-5.4
expect(result.agents?.hephaestus?.model).toBe("vercel/openai/gpt-5.4")
})
test("native providers take priority over gateway", () => {
// #given Claude and Vercel AI Gateway are both available
const config = createConfig({ hasClaude: true, hasVercelAiGateway: true })
// #when generateModelConfig is called
const result = generateModelConfig(config)
// #then should prefer native anthropic over gateway
expect(result.agents?.sisyphus?.model).toBe("anthropic/claude-opus-4.6")
})
})
describe("schema URL", () => { describe("schema URL", () => {
test("always includes correct schema URL", () => { test("always includes correct schema URL", () => {
// #given any config // #given any config
src/cli/model-fallback.ts
+6 -1
View File
@@ -105,7 +105,8 @@ export function generateModelConfig(config: InstallConfig): GeneratedOmoConfig {
avail.copilot || avail.copilot ||
avail.zai || avail.zai ||
avail.kimiForCoding || avail.kimiForCoding ||
avail.opencodeGo avail.opencodeGo ||
avail.vercelAiGateway
if (!hasAnyProvider) { if (!hasAnyProvider) {
return { return {
$schema: SCHEMA_URL, $schema: SCHEMA_URL,
@@ -130,6 +131,8 @@ export function generateModelConfig(config: InstallConfig): GeneratedOmoConfig {
agentConfig = { model: "opencode-go/minimax-m2.7" } agentConfig = { model: "opencode-go/minimax-m2.7" }
} else if (avail.zai) { } else if (avail.zai) {
agentConfig = { model: ZAI_MODEL } agentConfig = { model: ZAI_MODEL }
} else if (avail.vercelAiGateway) {
agentConfig = { model: "vercel/minimax/minimax-m2.7" }
} }
if (agentConfig) { if (agentConfig) {
agents[role] = attachAllFallbackModels(agentConfig, req.fallbackChain, avail) agents[role] = attachAllFallbackModels(agentConfig, req.fallbackChain, avail)
@@ -147,6 +150,8 @@ export function generateModelConfig(config: InstallConfig): GeneratedOmoConfig {
agentConfig = { model: "opencode-go/minimax-m2.7" } agentConfig = { model: "opencode-go/minimax-m2.7" }
} else if (avail.copilot) { } else if (avail.copilot) {
agentConfig = { model: "github-copilot/gpt-5-mini" } agentConfig = { model: "github-copilot/gpt-5-mini" }
} else if (avail.vercelAiGateway) {
agentConfig = { model: "vercel/minimax/minimax-m2.7-highspeed" }
} else { } else {
agentConfig = { model: "opencode/gpt-5-nano" } agentConfig = { model: "opencode/gpt-5-nano" }
} }
src/cli/openai-only-model-catalog.test.ts
+1
View File
@@ -14,6 +14,7 @@ function createConfig(overrides: Partial<InstallConfig> = {}): InstallConfig {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
...overrides, ...overrides,
} }
} }
src/cli/provider-availability.ts
+2
View File
@@ -13,6 +13,7 @@ export function toProviderAvailability(config: InstallConfig): ProviderAvailabil
zai: config.hasZaiCodingPlan, zai: config.hasZaiCodingPlan,
kimiForCoding: config.hasKimiForCoding, kimiForCoding: config.hasKimiForCoding,
opencodeGo: config.hasOpencodeGo, opencodeGo: config.hasOpencodeGo,
vercelAiGateway: config.hasVercelAiGateway,
isMaxPlan: config.isMax20, isMaxPlan: config.isMax20,
} }
} }
@@ -27,6 +28,7 @@ export function isProviderAvailable(provider: string, availability: ProviderAvai
"zai-coding-plan": availability.zai, "zai-coding-plan": availability.zai,
"kimi-for-coding": availability.kimiForCoding, "kimi-for-coding": availability.kimiForCoding,
"opencode-go": availability.opencodeGo, "opencode-go": availability.opencodeGo,
vercel: availability.vercelAiGateway,
} }
return mapping[provider] ?? false return mapping[provider] ?? false
} }
src/cli/provider-model-id-transform.test.ts
+110
View File
@@ -201,6 +201,116 @@ describe("transformModelForProvider", () => {
}) })
}) })
describe("vercel provider", () => {
test("prepends anthropic/ and applies anthropic transform for claude models", () => {
// #given vercel provider and claude-opus-4-6 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "claude-opus-4-6")
// #then should produce anthropic/claude-opus-4.6
expect(result).toBe("anthropic/claude-opus-4.6")
})
test("prepends anthropic/ and applies anthropic transform for claude-sonnet", () => {
// #given vercel provider and claude-sonnet-4-6 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "claude-sonnet-4-6")
// #then should produce anthropic/claude-sonnet-4.6
expect(result).toBe("anthropic/claude-sonnet-4.6")
})
test("prepends anthropic/ and applies anthropic transform for claude-haiku", () => {
// #given vercel provider and claude-haiku-4-5 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "claude-haiku-4-5")
// #then should produce anthropic/claude-haiku-4.5
expect(result).toBe("anthropic/claude-haiku-4.5")
})
test("prepends openai/ for gpt models", () => {
// #given vercel provider and gpt-5.4 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "gpt-5.4")
// #then should produce openai/gpt-5.4
expect(result).toBe("openai/gpt-5.4")
})
test("prepends google/ and applies google transform for gemini models", () => {
// #given vercel provider and gemini-3.1-pro model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "gemini-3.1-pro")
// #then should produce google/gemini-3.1-pro-preview
expect(result).toBe("google/gemini-3.1-pro-preview")
})
test("prepends google/ without -preview for gemini-3-flash", () => {
// #given vercel provider and gemini-3-flash model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "gemini-3-flash")
// #then should produce google/gemini-3-flash (gateway does not use -preview for this model)
expect(result).toBe("google/gemini-3-flash")
})
test("prepends xai/ for grok models", () => {
// #given vercel provider and grok-code-fast-1 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "grok-code-fast-1")
// #then should produce xai/grok-code-fast-1
expect(result).toBe("xai/grok-code-fast-1")
})
test("delegates to sub-provider when model already has sub-provider prefix", () => {
// #given vercel provider and anthropic/claude-opus-4-6 (already prefixed)
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "anthropic/claude-opus-4-6")
// #then should apply anthropic transform within the prefix
expect(result).toBe("anthropic/claude-opus-4.6")
})
test("prepends minimax/ for minimax models", () => {
// #given vercel provider and minimax-m2.7 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "minimax-m2.7")
// #then should produce minimax/minimax-m2.7
expect(result).toBe("minimax/minimax-m2.7")
})
test("prepends moonshotai/ for kimi models", () => {
// #given vercel provider and kimi-k2.5 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "kimi-k2.5")
// #then should produce moonshotai/kimi-k2.5
expect(result).toBe("moonshotai/kimi-k2.5")
})
test("prepends zai/ for glm models", () => {
// #given vercel provider and glm-5 model
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "glm-5")
// #then should produce zai/glm-5
expect(result).toBe("zai/glm-5")
})
test("passes through unknown models without sub-provider prefix", () => {
// #given vercel provider and an unknown model name
// #when transformModelForProvider is called
const result = transformModelForProvider("vercel", "big-pickle")
// #then should pass through unchanged
expect(result).toBe("big-pickle")
})
})
describe("unknown provider", () => { describe("unknown provider", () => {
test("passes model through unchanged for unknown provider", () => { test("passes model through unchanged for unknown provider", () => {
// #given unknown provider and any model // #given unknown provider and any model
src/cli/tui-install-prompts.ts
+11
View File
@@ -110,6 +110,16 @@ export async function promptInstallConfig(detected: DetectedConfig): Promise<Ins
}) })
if (!opencodeGo) return null if (!opencodeGo) return null
const vercelAiGateway = await selectOrCancel({
message: "Do you have a Vercel AI Gateway API key?",
options: [
{ value: "no", label: "No", hint: "Will use other configured providers" },
{ value: "yes", label: "Yes", hint: "Universal proxy for OpenAI, Anthropic, Google, etc." },
],
initialValue: initial.vercelAiGateway,
})
if (!vercelAiGateway) return null
return { return {
hasClaude: claude !== "no", hasClaude: claude !== "no",
isMax20: claude === "max20", isMax20: claude === "max20",
@@ -120,5 +130,6 @@ export async function promptInstallConfig(detected: DetectedConfig): Promise<Ins
hasZaiCodingPlan: zaiCodingPlan === "yes", hasZaiCodingPlan: zaiCodingPlan === "yes",
hasKimiForCoding: kimiForCoding === "yes", hasKimiForCoding: kimiForCoding === "yes",
hasOpencodeGo: opencodeGo === "yes", hasOpencodeGo: opencodeGo === "yes",
hasVercelAiGateway: vercelAiGateway === "yes",
} }
} }
src/cli/tui-installer.test.ts
+3
View File
@@ -44,6 +44,7 @@ describe("runTuiInstaller", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true), spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true),
spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.3.9"), spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.3.9"),
@@ -92,6 +93,7 @@ describe("runTuiInstaller", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true), spyOn(configManager, "isOpenCodeInstalled").mockResolvedValue(true),
spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"), spyOn(configManager, "getOpenCodeVersion").mockResolvedValue("1.4.0"),
@@ -105,6 +107,7 @@ describe("runTuiInstaller", () => {
hasZaiCodingPlan: false, hasZaiCodingPlan: false,
hasKimiForCoding: false, hasKimiForCoding: false,
hasOpencodeGo: false, hasOpencodeGo: false,
hasVercelAiGateway: false,
}), }),
spyOn(configManager, "addPluginToOpenCodeConfig").mockResolvedValue({ spyOn(configManager, "addPluginToOpenCodeConfig").mockResolvedValue({
success: true, success: true,
src/cli/tui-installer.ts
+1 -1
View File
@@ -77,7 +77,7 @@ export async function runTuiInstaller(args: InstallArgs, version: string): Promi
) )
} }
if (!config.hasClaude && !config.hasOpenAI && !config.hasGemini && !config.hasCopilot && !config.hasOpencodeZen) { if (!config.hasClaude && !config.hasOpenAI && !config.hasGemini && !config.hasCopilot && !config.hasOpencodeZen && !config.hasVercelAiGateway) {
p.log.warn("No model providers configured. Using opencode/big-pickle as fallback.") p.log.warn("No model providers configured. Using opencode/big-pickle as fallback.")
} }
src/cli/types.ts
+3
View File
@@ -11,6 +11,7 @@ export interface InstallArgs {
zaiCodingPlan?: BooleanArg zaiCodingPlan?: BooleanArg
kimiForCoding?: BooleanArg kimiForCoding?: BooleanArg
opencodeGo?: BooleanArg opencodeGo?: BooleanArg
vercelAiGateway?: BooleanArg
skipAuth?: boolean skipAuth?: boolean
} }
@@ -24,6 +25,7 @@ export interface InstallConfig {
hasZaiCodingPlan: boolean hasZaiCodingPlan: boolean
hasKimiForCoding: boolean hasKimiForCoding: boolean
hasOpencodeGo: boolean hasOpencodeGo: boolean
hasVercelAiGateway: boolean
} }
export interface ConfigMergeResult { export interface ConfigMergeResult {
@@ -44,4 +46,5 @@ export interface DetectedConfig {
hasZaiCodingPlan: boolean hasZaiCodingPlan: boolean
hasKimiForCoding: boolean hasKimiForCoding: boolean
hasOpencodeGo: boolean hasOpencodeGo: boolean
hasVercelAiGateway: boolean
} }
src/shared/model-requirements.test.ts
+13 -13
View File
@@ -35,12 +35,12 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
expect(sisyphus.requiresAnyModel).toBe(true) expect(sisyphus.requiresAnyModel).toBe(true)
const primary = sisyphus.fallbackChain[0] const primary = sisyphus.fallbackChain[0]
expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode"]) expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode", "vercel"])
expect(primary.model).toBe("claude-opus-4-6") expect(primary.model).toBe("claude-opus-4-6")
expect(primary.variant).toBe("max") expect(primary.variant).toBe("max")
const second = sisyphus.fallbackChain[1] const second = sisyphus.fallbackChain[1]
expect(second.providers).toEqual(["opencode-go"]) expect(second.providers).toEqual(["opencode-go", "vercel"])
expect(second.model).toBe("kimi-k2.5") expect(second.model).toBe("kimi-k2.5")
const third = sisyphus.fallbackChain[2] const third = sisyphus.fallbackChain[2]
@@ -132,19 +132,19 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
expect(multimodalLooker.fallbackChain).toHaveLength(4) expect(multimodalLooker.fallbackChain).toHaveLength(4)
const primary = multimodalLooker.fallbackChain[0] const primary = multimodalLooker.fallbackChain[0]
expect(primary.providers).toEqual(["openai", "opencode"]) expect(primary.providers).toEqual(["openai", "opencode", "vercel"])
expect(primary.model).toBe("gpt-5.4") expect(primary.model).toBe("gpt-5.4")
expect(primary.variant).toBe("medium") expect(primary.variant).toBe("medium")
const secondary = multimodalLooker.fallbackChain[1] const secondary = multimodalLooker.fallbackChain[1]
expect(secondary.providers).toEqual(["opencode-go"]) expect(secondary.providers).toEqual(["opencode-go", "vercel"])
expect(secondary.model).toBe("kimi-k2.5") expect(secondary.model).toBe("kimi-k2.5")
const tertiary = multimodalLooker.fallbackChain[2] const tertiary = multimodalLooker.fallbackChain[2]
expect(tertiary.model).toBe("glm-4.6v") expect(tertiary.model).toBe("glm-4.6v")
const last = multimodalLooker.fallbackChain[3] const last = multimodalLooker.fallbackChain[3]
expect(last.providers).toEqual(["openai", "github-copilot", "opencode"]) expect(last.providers).toEqual(["openai", "github-copilot", "opencode", "vercel"])
expect(last.model).toBe("gpt-5-nano") expect(last.model).toBe("gpt-5-nano")
}) })
@@ -160,7 +160,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
const primary = prometheus.fallbackChain[0] const primary = prometheus.fallbackChain[0]
expect(primary.model).toBe("claude-opus-4-6") expect(primary.model).toBe("claude-opus-4-6")
expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode"]) expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode", "vercel"])
expect(primary.variant).toBe("max") expect(primary.variant).toBe("max")
}) })
@@ -176,12 +176,12 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
const primary = metis.fallbackChain[0] const primary = metis.fallbackChain[0]
expect(primary.model).toBe("claude-opus-4-6") expect(primary.model).toBe("claude-opus-4-6")
expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode"]) expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode", "vercel"])
expect(primary.variant).toBe("max") expect(primary.variant).toBe("max")
const openAiFallback = metis.fallbackChain.find((entry) => entry.providers.includes("openai")) const openAiFallback = metis.fallbackChain.find((entry) => entry.providers.includes("openai"))
expect(openAiFallback).toEqual({ expect(openAiFallback).toEqual({
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "high", variant: "high",
}) })
@@ -223,7 +223,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
const tertiary = atlas.fallbackChain[2] const tertiary = atlas.fallbackChain[2]
expect(tertiary).toEqual({ expect(tertiary).toEqual({
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}) })
@@ -245,7 +245,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
// then // then
expect(openAiFallback).toEqual({ expect(openAiFallback).toEqual({
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}) })
@@ -261,7 +261,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
// #when - accessing hephaestus requirement // #when - accessing hephaestus requirement
// #then - requiresProvider includes openai, github-copilot, venice, and opencode // #then - requiresProvider includes openai, github-copilot, venice, and opencode
expect(hephaestus).toBeDefined() expect(hephaestus).toBeDefined()
expect(hephaestus.requiresProvider).toEqual(["openai", "github-copilot", "venice", "opencode"]) expect(hephaestus.requiresProvider).toEqual(["openai", "github-copilot", "venice", "opencode", "vercel"])
expect(hephaestus.requiresModel).toBeUndefined() expect(hephaestus.requiresModel).toBeUndefined()
}) })
@@ -415,12 +415,12 @@ describe("CATEGORY_MODEL_REQUIREMENTS", () => {
const primary = unspecifiedHigh.fallbackChain[0] const primary = unspecifiedHigh.fallbackChain[0]
expect(primary.model).toBe("claude-opus-4-6") expect(primary.model).toBe("claude-opus-4-6")
expect(primary.variant).toBe("max") expect(primary.variant).toBe("max")
expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode"]) expect(primary.providers).toEqual(["anthropic", "github-copilot", "opencode", "vercel"])
const secondary = unspecifiedHigh.fallbackChain[1] const secondary = unspecifiedHigh.fallbackChain[1]
expect(secondary.model).toBe("gpt-5.4") expect(secondary.model).toBe("gpt-5.4")
expect(secondary.variant).toBe("high") expect(secondary.variant).toBe("high")
expect(secondary.providers).toEqual(["openai", "github-copilot", "opencode"]) expect(secondary.providers).toEqual(["openai", "github-copilot", "opencode", "vercel"])
}) })
test("artistry has valid fallbackChain with gemini-3.1-pro as primary", () => { test("artistry has valid fallbackChain with gemini-3.1-pro as primary", () => {
src/shared/model-requirements.ts
+77 -75
View File
@@ -21,11 +21,11 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
sisyphus: { sisyphus: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ providers: ["kimi-for-coding"], model: "k2p5" }, { providers: ["kimi-for-coding"], model: "k2p5" },
{ {
providers: [ providers: [
@@ -35,11 +35,12 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
"firmware", "firmware",
"ollama-cloud", "ollama-cloud",
"aihubmix", "aihubmix",
"vercel",
], ],
model: "kimi-k2.5", model: "kimi-k2.5",
}, },
{ providers: ["openai", "github-copilot", "opencode"], model: "gpt-5.4", variant: "medium" }, { providers: ["openai", "github-copilot", "opencode", "vercel"], model: "gpt-5.4", variant: "medium" },
{ providers: ["zai-coding-plan", "opencode"], model: "glm-5" }, { providers: ["zai-coding-plan", "opencode", "vercel"], model: "glm-5" },
{ providers: ["opencode"], model: "big-pickle" }, { providers: ["opencode"], model: "big-pickle" },
], ],
requiresAnyModel: true, requiresAnyModel: true,
@@ -47,73 +48,73 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
hephaestus: { hephaestus: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "github-copilot", "venice", "opencode"], providers: ["openai", "github-copilot", "venice", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}, },
], ],
requiresProvider: ["openai", "github-copilot", "venice", "opencode"], requiresProvider: ["openai", "github-copilot", "venice", "opencode", "vercel"],
}, },
oracle: { oracle: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "high", variant: "high",
}, },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
], ],
}, },
librarian: { librarian: {
fallbackChain: [ fallbackChain: [
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
{ providers: ["opencode"], model: "minimax-m2.7-highspeed" }, { providers: ["opencode", "vercel"], model: "minimax-m2.7-highspeed" },
{ providers: ["anthropic", "opencode"], model: "claude-haiku-4-5" }, { providers: ["anthropic", "opencode", "vercel"], model: "claude-haiku-4-5" },
{ providers: ["opencode"], model: "gpt-5-nano" }, { providers: ["opencode", "vercel"], model: "gpt-5-nano" },
], ],
}, },
explore: { explore: {
fallbackChain: [ fallbackChain: [
{ providers: ["github-copilot", "xai"], model: "grok-code-fast-1" }, { providers: ["github-copilot", "xai", "vercel"], model: "grok-code-fast-1" },
{ providers: ["opencode-go"], model: "minimax-m2.7-highspeed" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7-highspeed" },
{ providers: ["opencode"], model: "minimax-m2.7" }, { providers: ["opencode", "vercel"], model: "minimax-m2.7" },
{ providers: ["anthropic", "opencode"], model: "claude-haiku-4-5" }, { providers: ["anthropic", "opencode", "vercel"], model: "claude-haiku-4-5" },
{ providers: ["opencode"], model: "gpt-5-nano" }, { providers: ["opencode", "vercel"], model: "gpt-5-nano" },
], ],
}, },
"multimodal-looker": { "multimodal-looker": {
fallbackChain: [ fallbackChain: [
{ providers: ["openai", "opencode"], model: "gpt-5.4", variant: "medium" }, { providers: ["openai", "opencode", "vercel"], model: "gpt-5.4", variant: "medium" },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ providers: ["zai-coding-plan"], model: "glm-4.6v" }, { providers: ["zai-coding-plan", "vercel"], model: "glm-4.6v" },
{ providers: ["openai", "github-copilot", "opencode"], model: "gpt-5-nano" }, { providers: ["openai", "github-copilot", "opencode", "vercel"], model: "gpt-5-nano" },
], ],
}, },
prometheus: { prometheus: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "high", variant: "high",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
}, },
], ],
@@ -121,61 +122,61 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
metis: { metis: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "high", variant: "high",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
{ providers: ["kimi-for-coding"], model: "k2p5" }, { providers: ["kimi-for-coding"], model: "k2p5" },
], ],
}, },
momus: { momus: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "xhigh", variant: "xhigh",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
], ],
}, },
atlas: { atlas: {
fallbackChain: [ fallbackChain: [
{ providers: ["anthropic", "github-copilot", "opencode"], model: "claude-sonnet-4-6" }, { providers: ["anthropic", "github-copilot", "opencode", "vercel"], model: "claude-sonnet-4-6" },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}, },
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
], ],
}, },
"sisyphus-junior": { "sisyphus-junior": {
fallbackChain: [ fallbackChain: [
{ providers: ["anthropic", "github-copilot", "opencode"], model: "claude-sonnet-4-6" }, { providers: ["anthropic", "github-copilot", "opencode", "vercel"], model: "claude-sonnet-4-6" },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}, },
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
{ providers: ["opencode"], model: "big-pickle" }, { providers: ["opencode"], model: "big-pickle" },
], ],
}, },
@@ -185,54 +186,54 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
"visual-engineering": { "visual-engineering": {
fallbackChain: [ fallbackChain: [
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
{ providers: ["zai-coding-plan", "opencode"], model: "glm-5" }, { providers: ["zai-coding-plan", "opencode", "vercel"], model: "glm-5" },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
{ providers: ["kimi-for-coding"], model: "k2p5" }, { providers: ["kimi-for-coding"], model: "k2p5" },
], ],
}, },
ultrabrain: { ultrabrain: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "opencode"], providers: ["openai", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "xhigh", variant: "xhigh",
}, },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
], ],
}, },
deep: { deep: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "github-copilot", "venice", "opencode"], providers: ["openai", "github-copilot", "venice", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "medium", variant: "medium",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
@@ -241,72 +242,72 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
artistry: { artistry: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3.1-pro", model: "gemini-3.1-pro",
variant: "high", variant: "high",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ providers: ["openai", "github-copilot", "opencode"], model: "gpt-5.4" }, { providers: ["openai", "github-copilot", "opencode", "vercel"], model: "gpt-5.4" },
], ],
requiresModel: "gemini-3.1-pro", requiresModel: "gemini-3.1-pro",
}, },
quick: { quick: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4-mini", model: "gpt-5.4-mini",
}, },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-haiku-4-5", model: "claude-haiku-4-5",
}, },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3-flash", model: "gemini-3-flash",
}, },
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
{ providers: ["opencode"], model: "gpt-5-nano" }, { providers: ["opencode", "vercel"], model: "gpt-5-nano" },
], ],
}, },
"unspecified-low": { "unspecified-low": {
fallbackChain: [ fallbackChain: [
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-sonnet-4-6", model: "claude-sonnet-4-6",
}, },
{ {
providers: ["openai", "opencode"], providers: ["openai", "opencode", "vercel"],
model: "gpt-5.3-codex", model: "gpt-5.3-codex",
variant: "medium", variant: "medium",
}, },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3-flash", model: "gemini-3-flash",
}, },
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
], ],
}, },
"unspecified-high": { "unspecified-high": {
fallbackChain: [ fallbackChain: [
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-opus-4-6", model: "claude-opus-4-6",
variant: "max", variant: "max",
}, },
{ {
providers: ["openai", "github-copilot", "opencode"], providers: ["openai", "github-copilot", "opencode", "vercel"],
model: "gpt-5.4", model: "gpt-5.4",
variant: "high", variant: "high",
}, },
{ providers: ["zai-coding-plan", "opencode"], model: "glm-5" }, { providers: ["zai-coding-plan", "opencode", "vercel"], model: "glm-5" },
{ providers: ["kimi-for-coding"], model: "k2p5" }, { providers: ["kimi-for-coding"], model: "k2p5" },
{ providers: ["opencode-go"], model: "glm-5" }, { providers: ["opencode-go", "vercel"], model: "glm-5" },
{ providers: ["opencode"], model: "kimi-k2.5" }, { providers: ["opencode", "vercel"], model: "kimi-k2.5" },
{ {
providers: [ providers: [
"opencode", "opencode",
@@ -315,6 +316,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
"firmware", "firmware",
"ollama-cloud", "ollama-cloud",
"aihubmix", "aihubmix",
"vercel",
], ],
model: "kimi-k2.5", model: "kimi-k2.5",
}, },
@@ -323,15 +325,15 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
writing: { writing: {
fallbackChain: [ fallbackChain: [
{ {
providers: ["google", "github-copilot", "opencode"], providers: ["google", "github-copilot", "opencode", "vercel"],
model: "gemini-3-flash", model: "gemini-3-flash",
}, },
{ providers: ["opencode-go"], model: "kimi-k2.5" }, { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
{ {
providers: ["anthropic", "github-copilot", "opencode"], providers: ["anthropic", "github-copilot", "opencode", "vercel"],
model: "claude-sonnet-4-6", model: "claude-sonnet-4-6",
}, },
{ providers: ["opencode-go"], model: "minimax-m2.7" }, { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
], ],
}, },
}; };
src/shared/provider-model-id-transform.ts
+48 -14
View File
@@ -1,24 +1,58 @@
function inferSubProvider(model: string): string | undefined {
if (model.startsWith("claude-")) return "anthropic"
if (model.startsWith("gpt-")) return "openai"
if (model.startsWith("gemini-")) return "google"
if (model.startsWith("grok-")) return "xai"
if (model.startsWith("minimax-")) return "minimax"
if (model.startsWith("kimi-")) return "moonshotai"
if (model.startsWith("glm-")) return "zai"
return undefined
}
const CLAUDE_VERSION_DOT = /claude-(\w+)-(\d+)-(\d+)/g
const GEMINI_31_PRO_PREVIEW = /gemini-3\.1-pro(?!-)/g
const GEMINI_3_FLASH_PREVIEW = /gemini-3-flash(?!-)/g
function claudeVersionDot(model: string): string {
return model.replace(CLAUDE_VERSION_DOT, "claude-$1-$2.$3")
}
function applyGatewayTransforms(model: string): string {
return claudeVersionDot(model)
.replace(GEMINI_31_PRO_PREVIEW, "gemini-3.1-pro-preview")
}
export function transformModelForProvider(provider: string, model: string): string { export function transformModelForProvider(provider: string, model: string): string {
if (provider === "github-copilot") { // Vercel AI Gateway expects <sub-provider>/<model> (e.g. anthropic/claude-opus-4.6).
// Canonical names in model-requirements.ts may be bare (claude-opus-4-6) or
// already prefixed (anthropic/claude-opus-4-6). Both need gateway-specific transforms.
if (provider === "vercel") {
// Already prefixed — transform only the model part
const slashIndex = model.indexOf("/")
if (slashIndex !== -1) {
const subProvider = model.substring(0, slashIndex)
const subModel = model.substring(slashIndex + 1)
return `${subProvider}/${applyGatewayTransforms(subModel)}`
}
// Bare name — infer sub-provider from model prefix (claude- → anthropic, etc.)
const subProvider = inferSubProvider(model)
if (subProvider) {
return `${subProvider}/${applyGatewayTransforms(model)}`
}
return model return model
.replace("claude-opus-4-6", "claude-opus-4.6") }
.replace("claude-sonnet-4-6", "claude-sonnet-4.6") if (provider === "github-copilot") {
.replace("claude-sonnet-4-5", "claude-sonnet-4.5") return claudeVersionDot(model)
.replace("claude-haiku-4-5", "claude-haiku-4.5") .replace(GEMINI_31_PRO_PREVIEW, "gemini-3.1-pro-preview")
.replace("claude-sonnet-4", "claude-sonnet-4") .replace(GEMINI_3_FLASH_PREVIEW, "gemini-3-flash-preview")
.replace(/gemini-3\.1-pro(?!-)/g, "gemini-3.1-pro-preview")
.replace(/gemini-3-flash(?!-)/g, "gemini-3-flash-preview")
} }
if (provider === "google") { if (provider === "google") {
return model return model
.replace(/gemini-3\.1-pro(?!-)/g, "gemini-3.1-pro-preview") .replace(GEMINI_31_PRO_PREVIEW, "gemini-3.1-pro-preview")
.replace(/gemini-3-flash(?!-)/g, "gemini-3-flash-preview") .replace(GEMINI_3_FLASH_PREVIEW, "gemini-3-flash-preview")
} }
if (provider === "anthropic") { if (provider === "anthropic") {
return model return claudeVersionDot(model)
.replace("claude-opus-4-6", "claude-opus-4.6")
.replace("claude-sonnet-4-6", "claude-sonnet-4.6")
.replace("claude-haiku-4-5", "claude-haiku-4.5")
} }
return model return model
} }