mirror of
https://github.com/anomalyco/opencode.git
synced 2026-08-21 09:41:36 -04:00
Compare commits
1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Aiden Cline
|
9e7b5f1701 |
@@ -0,0 +1,37 @@
|
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name: beta
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: "0 * * * *"
|
||||
|
||||
jobs:
|
||||
sync:
|
||||
runs-on: blacksmith-4vcpu-ubuntu-2404
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
|
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with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Setup Bun
|
||||
uses: ./.github/actions/setup-bun
|
||||
|
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- name: Setup Git Committer
|
||||
id: setup-git-committer
|
||||
uses: ./.github/actions/setup-git-committer
|
||||
with:
|
||||
opencode-app-id: ${{ vars.OPENCODE_APP_ID }}
|
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opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
|
||||
|
||||
- name: Install OpenCode
|
||||
run: bun i -g opencode-ai
|
||||
|
||||
- name: Sync beta branch
|
||||
env:
|
||||
GH_TOKEN: ${{ steps.setup-git-committer.outputs.token }}
|
||||
OPENCODE_API_KEY: ${{ secrets.OPENCODE_API_KEY }}
|
||||
run: bun script/beta.ts
|
||||
@@ -301,7 +301,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -332,7 +332,7 @@
|
||||
"@opentelemetry/sdk-trace-base": "2.6.1",
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
@@ -576,7 +576,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -623,7 +623,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
@@ -1183,21 +1183,21 @@
|
||||
|
||||
"@ai-sdk/cohere": ["@ai-sdk/cohere@3.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-OqcCq2PiFY1dbK/0Ck45KuvE8jfdxRuuAE9Y5w46dAk6U+9vPOeg1CDcmR+ncqmrYrhRl3nmyDttyDahyjCzAw=="],
|
||||
|
||||
"@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-DPoKiCXDwzopJI/pHcZnXaycZ5qqCL4xCWcfsb1s8M8OUPchK2GUHcCXt6v056fAqtKWLF/hrW+RcHFFY0qyHQ=="],
|
||||
"@ai-sdk/deepgram": ["@ai-sdk/deepgram@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-VscTV68g6sXRY4O1yl72/O8y6+tBDvSQax6bqX06hRKWBGxsJ8Jr3LZsNmZnK9Od5Icx565ijK0QgrlNaN4TdQ=="],
|
||||
|
||||
"@ai-sdk/deepinfra": ["@ai-sdk/deepinfra@2.0.41", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.37", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-y6RoOP7DGWmDSiSxrUSt5p18sbz+Ixe5lMVPmdE7x+Tr5rlrzvftyHhjWHfqlAtoYERZTGFbP6tPW1OfQcrb4A=="],
|
||||
|
||||
"@ai-sdk/deepseek": ["@ai-sdk/deepseek@2.0.47", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@ai-sdk/provider-utils": "4.0.38" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MzcQ321JO8OY+TVLFI81A7cIIuoeLLxrLCDD+8C1E3Ro6UFyfMtRXo9bw9OhTMRSDMo6hgSDOo4Fekz8aJtQYQ=="],
|
||||
|
||||
"@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.51", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XFONX6rAsu6d13cJVUfZfkq4a+qdThlxvoEfzYlSRa1AvALlzwX7Y6bunXxevuifT3n882+nDdWrdiYvFP0+Fw=="],
|
||||
"@ai-sdk/elevenlabs": ["@ai-sdk/elevenlabs@2.0.33", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-EtvsWfGrqx3OhzJdoi82qH+4yzEPPKZr2utyQ+w8cHKoFeg0+8Lou9Z3uixy73WEwz8Z1+AR8QT9fZ64AWGYPA=="],
|
||||
|
||||
"@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.76", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-yg1ulgemh6BLMrs2vBNbtjV70NhenFI3Z7psB7s94FOEcGevvyV1qdFoqsgBZ7QyuUGwnC645c+eBFFtPAr5SQ=="],
|
||||
"@ai-sdk/fireworks": ["@ai-sdk/fireworks@2.0.53", "", { "dependencies": { "@ai-sdk/openai-compatible": "2.0.48", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-HjeiGsdxSzrCkOf2l2V+K+opzlqxBtduBq6BCiohAdgQk2KdZmI/67SMkBM6Kdze/BjUXiZlv0d7zNICPhxVDA=="],
|
||||
|
||||
"@ai-sdk/gateway": ["@ai-sdk/gateway@3.0.104", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@vercel/oidc": "3.2.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ZKX5n74io8VIRlhIMSLWVlvT3sXC8Z7cZ9GHuWBWZDVi96+62AIsWuLGvMfcBA1STYuSoDrp6rIziZmvrTq0TA=="],
|
||||
|
||||
"@ai-sdk/google": ["@ai-sdk/google@3.0.73", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-o2MuIeyvZrFIeIbnbA8Thrr63irdyUBh0uWBZ2lY6yFeXuE/tcwyXF74bDKS4KvTu84uFpQfpbS/LXHGKKXz+g=="],
|
||||
|
||||
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.181", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.110", "@ai-sdk/google": "3.0.108", "@ai-sdk/openai-compatible": "2.0.67", "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-57b5Qor8V53vubkxCj09tbHWpzpCLUbzmll2FwShuLvyEAsCH6mh3sAowDhiwUWPXnLzU+rC3RVMKCPscqICcg=="],
|
||||
"@ai-sdk/google-vertex": ["@ai-sdk/google-vertex@4.0.128", "", { "dependencies": { "@ai-sdk/anthropic": "3.0.77", "@ai-sdk/google": "3.0.73", "@ai-sdk/openai-compatible": "2.0.47", "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27", "google-auth-library": "^10.5.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-jK8fixb4km2yfgvb9DUFQRpV/jiDB0v9gyxHoHfPydaQvz+CpAz8DTt1quyaM+Wg9G2R8Zo68CYmHbIkUqW2AA=="],
|
||||
|
||||
"@ai-sdk/groq": ["@ai-sdk/groq@3.0.31", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.21" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XbbugpnFmXGu2TlXiq8KUJskP6/VVbuFcnFIGDzDIB/Chg6XHsNnqrTF80Zxkh0Pd3+NvbM+2Uqrtsndk6bDAg=="],
|
||||
|
||||
@@ -3063,7 +3063,7 @@
|
||||
|
||||
"ai": ["ai@6.0.168", "", { "dependencies": { "@ai-sdk/gateway": "3.0.104", "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23", "@opentelemetry/api": "1.9.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-2HqCJuO+1V2aV7vfYs5LFEUfxbkGX+5oa54q/gCCTL7KLTdbxcCu5D7TdLA5kwsrs3Szgjah9q6D9tpjHM3hUQ=="],
|
||||
|
||||
"ai-gateway-provider": ["ai-gateway-provider@3.2.0", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.117", "@ai-sdk/anthropic": "^3.0.84", "@ai-sdk/azure": "^3.0.74", "@ai-sdk/cerebras": "^2.0.56", "@ai-sdk/cohere": "^3.0.38", "@ai-sdk/deepgram": "^2.0.35", "@ai-sdk/deepseek": "^2.0.38", "@ai-sdk/elevenlabs": "^2.0.35", "@ai-sdk/fireworks": "^2.0.56", "@ai-sdk/google": "^3.0.82", "@ai-sdk/google-vertex": "^4.0.145", "@ai-sdk/groq": "^3.0.41", "@ai-sdk/mistral": "^3.0.39", "@ai-sdk/openai": "^3.0.71", "@ai-sdk/perplexity": "^3.0.35", "@ai-sdk/xai": "^3.0.95", "@openrouter/ai-sdk-provider": "^2.10.0" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-IGSV96IqAfiZd20CWSMVQk5sVeLcJR2uQcoWLB8GdkxyvQrsU3x4U0o1Ok6bfVJug7SrlX6I8ibz9cHIkUyRtg=="],
|
||||
"ai-gateway-provider": ["ai-gateway-provider@3.1.2", "", { "optionalDependencies": { "@ai-sdk/amazon-bedrock": "^4.0.62", "@ai-sdk/anthropic": "^3.0.46", "@ai-sdk/azure": "^3.0.31", "@ai-sdk/cerebras": "^2.0.34", "@ai-sdk/cohere": "^3.0.21", "@ai-sdk/deepgram": "^2.0.20", "@ai-sdk/deepseek": "^2.0.20", "@ai-sdk/elevenlabs": "^2.0.20", "@ai-sdk/fireworks": "^2.0.34", "@ai-sdk/google": "^3.0.30", "@ai-sdk/google-vertex": "^4.0.61", "@ai-sdk/groq": "^3.0.24", "@ai-sdk/mistral": "^3.0.20", "@ai-sdk/openai": "^3.0.30", "@ai-sdk/perplexity": "^3.0.19", "@ai-sdk/xai": "^3.0.57", "@openrouter/ai-sdk-provider": "^2.2.3" }, "peerDependencies": { "@ai-sdk/openai-compatible": "^2.0.0", "@ai-sdk/provider": "^3.0.0", "@ai-sdk/provider-utils": "^4.0.0", "ai": "^6.0.0" } }, "sha512-krGNnJSoO/gJ7Hbe5nQDlsBpDUGIBGtMQTRUaW7s1MylsfvLduba0TLWzQaGtOmNRkP0pGhtGlwsnS6FNQMlyw=="],
|
||||
|
||||
"ajv": ["ajv@8.20.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-Thbli+OlOj+iMPYFBVBfJ3OmCAnaSyNn4M1vz9T6Gka5Jt9ba/HIR56joy65tY6kx/FCF5VXNB819Y7/GUrBGA=="],
|
||||
|
||||
@@ -5667,9 +5667,9 @@
|
||||
|
||||
"@ai-sdk/cohere/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
|
||||
|
||||
"@ai-sdk/deepinfra/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.21", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-MtFUYI1/8mgDvRmaBDjbLJPFFrMG777AvSgyIFQtZHIMzm88R/12vYBBpnk7pfiWLFE1DSZzY4WDYzGbKAcmiw=="],
|
||||
|
||||
@@ -5677,29 +5677,27 @@
|
||||
|
||||
"@ai-sdk/deepseek/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.38", "", { "dependencies": { "@ai-sdk/provider": "3.0.14", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-/HHGmtKllqjg1OLc023v9w9kK3laW7Z6TzfZukYQWCsGBbzB9p60zTvvpXFVcs44NZBVXL3viOa1HRKUbeee8g=="],
|
||||
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
|
||||
"@ai-sdk/elevenlabs/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.27", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-ubkAJ+xODouwtmN1tYlvTPphH1hPOBfZaEQe8U7skGvFAnIRs9PPpsq57bC2+Ky/MB4yzhd6YOsxTAx9sGpazw=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.67", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@ai-sdk/provider-utils": "4.0.45" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-glcEJC2mBXJKj7joFI0fRhcbdDYKTBgXMPcT6Vcnlym67tTzuNG9pFx3zblxVv8TdOxhojJja5zGG19yeGJxuA=="],
|
||||
"@ai-sdk/fireworks/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.48", "", { "dependencies": { "@ai-sdk/provider": "3.0.10", "@ai-sdk/provider-utils": "4.0.27" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-z9MC6M4Oh/yUY/F/eszOtO8wc2nMz99XmZQKd2gWTtyIfe716xTfrKe3aYZKg20NZDtyjqPPKPSR+wqz7q1T7Q=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
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||||
"@ai-sdk/fireworks/@ai-sdk/provider": ["@ai-sdk/provider@3.0.10", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-Q3BZ27qfpYqnCYGvE3vt+Qi6LGOF9R5Nmzn+9JoM1lCRsD9mYaIhfJLkSunN48nfGXJ6n+XNV0J/XVpqGQl7Dw=="],
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
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||||
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@@ -6173,23 +6171,21 @@
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@@ -6599,24 +6595,16 @@
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"@ai-sdk/fireworks/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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@@ -6989,45 +6977,29 @@
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|
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider": ["@ai-sdk/provider@3.0.15", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-XeZW1CcDF2GMbH4wejW6xBRI2QCOgnkVYUnxoeDadB1mf85riL2bMUeDoh+6gJ/r4mjNfzUPW8OjLjvwTP0u1Q=="],
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|
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@4.0.45", "", { "dependencies": { "@ai-sdk/provider": "3.0.15", "@standard-schema/spec": "^1.1.0", "eventsource-parser": "^3.0.8", "undici": "^5.29.0" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-7u5B/E2uZmU65SlJhhQGFHZwRCN0xOz4HHtFc4sEGV9PHbX3fGiEiZBpc/SABay1dGeJgK3VD60rvLGoWdWPXA=="],
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"ai-gateway-provider/@ai-sdk/xai/@ai-sdk/openai-compatible": ["@ai-sdk/openai-compatible@2.0.41", "", { "dependencies": { "@ai-sdk/provider": "3.0.8", "@ai-sdk/provider-utils": "4.0.23" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-kNAGINk71AlOXx10Dq/PXw4t/9XjdK8uxfpVElRwtSFMdeSiLVt58p9TPx4/FJD+hxZuVhvxYj9r42osxWq79g=="],
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@@ -7447,31 +7419,13 @@
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"ai-gateway-provider/@ai-sdk/amazon-bedrock/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/anthropic/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/azure/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
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"ai-gateway-provider/@ai-sdk/cohere/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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|
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"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
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"ai-gateway-provider/@ai-sdk/google/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/groq/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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|
||||
"ai-gateway-provider/@ai-sdk/perplexity/@ai-sdk/provider-utils/undici": ["undici@5.29.0", "", { "dependencies": { "@fastify/busboy": "^2.0.0" } }, "sha512-raqeBD6NQK4SkWhQzeYKd1KmIG6dllBOTt55Rmkt4HtI9mwdWtJljnrXjAFUBLTSN67HWrOIZ3EPF4kjUw80Bg=="],
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"ai-gateway-provider/@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
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"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
|
||||
|
||||
|
||||
+4
-4
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"nodeModules": {
|
||||
"x86_64-linux": "sha256-yQ8EIxxYkzlEWIMY/UiIR+7lbGBuizsoehMPZzFA65Y=",
|
||||
"aarch64-linux": "sha256-JF9VVgnl5QUZ430fqb5Qu8y0kchYJ00LO3FbYcd0lBM=",
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"aarch64-darwin": "sha256-f3Tu6eu463NWcHgr7dupfD/zUTh26bJ6N2vVXuEyi6c=",
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"x86_64-darwin": "sha256-miv9Sv4KdhD0UIi2O5LVS1wQOfq29IV+9S+BvIzAvgo="
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"x86_64-linux": "sha256-TNwKfqxD83UpZuCKN8FdEWN+CcQUP9CkCQSLGNqR/sA=",
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"aarch64-linux": "sha256-qzvOJZzmq2QhlauElw8GwgQnCPHdhexI52L0md5zrxQ=",
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"aarch64-darwin": "sha256-ZzoyLayOFfcYUAg35ZbZ2WapxDdd9IUWqy2xkxZH4QM=",
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"x86_64-darwin": "sha256-maP/qLeaC3q8VcmNIPyIKlnplxFXJ7ULho3v21/16Mw="
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||||
}
|
||||
}
|
||||
|
||||
@@ -145,7 +145,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="text"
|
||||
label={language.t("dialog.server.add.name")}
|
||||
placeholder={language.t("dialog.server.add.namePlaceholder")}
|
||||
defaultValue={props.name}
|
||||
value={props.name}
|
||||
disabled={props.busy}
|
||||
onChange={props.onNameChange}
|
||||
onKeyDown={keyDown}
|
||||
@@ -155,7 +155,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="text"
|
||||
label={language.t("dialog.server.add.username")}
|
||||
placeholder={language.t("dialog.server.add.usernamePlaceholder")}
|
||||
defaultValue={props.username}
|
||||
value={props.username}
|
||||
disabled={props.busy}
|
||||
onChange={props.onUsernameChange}
|
||||
onKeyDown={keyDown}
|
||||
@@ -164,7 +164,7 @@ function ServerForm(props: ServerFormProps) {
|
||||
type="password"
|
||||
label={language.t("dialog.server.add.password")}
|
||||
placeholder={language.t("dialog.server.add.passwordPlaceholder")}
|
||||
defaultValue={props.password}
|
||||
value={props.password}
|
||||
disabled={props.busy}
|
||||
onChange={props.onPasswordChange}
|
||||
onKeyDown={keyDown}
|
||||
|
||||
@@ -252,7 +252,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "الاستثناءات التالية",
|
||||
|
||||
"go.title": "OpenCode Go | نماذج برمجة منخفضة التكلفة للجميع",
|
||||
"go.banner.text": "يحصل Hy3 على حدود استخدام أكبر 8 أضعاف لفترة محدودة",
|
||||
"go.banner.text": "يحصل DeepSeek V4 Flash على حدود استخدام مضاعفة لفترة محدودة",
|
||||
"go.meta.description":
|
||||
"يبدأ Go بسعر $5 للشهر الأول، ثم $10/شهر، مع حدود استخدام سخية ووصول موثوق إلى نماذج البرمجة الرائدة.",
|
||||
"go.hero.title": "نماذج برمجة منخفضة التكلفة للجميع",
|
||||
@@ -339,6 +339,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "الاحتفاظ بالبيانات",
|
||||
"go.faq.a5.retention30": "30 يومًا",
|
||||
"go.faq.a5.retention0": "0 أيام",
|
||||
"go.faq.a5.used": "مستخدَمة",
|
||||
"go.faq.a5.notUsed": "غير مستخدَمة",
|
||||
"go.faq.a5.noAgreement": "لا توجد اتفاقية",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -385,9 +386,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "النموذج معطل",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"لا يتوفر أحدث إصدار من هذا النموذج إلا مستضافًا في الصين، ويتطلب تفعيلًا صريحًا: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "هذا النموذج غير متاح في بلدك.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"يجمع هذا النموذج بيانات تُستخدم لتحسين جودته، ويتطلب موافقتك الصريحة: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"انتهى العرض المجاني لـ {{model}}. يمكنك مواصلة استخدام النموذج بالاشتراك في OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguintes exceções",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de codificação de baixo custo para todos",
|
||||
"go.banner.text": "Hy3 tem limites de uso 8x maiores por tempo limitado",
|
||||
"go.banner.text": "DeepSeek V4 Flash tem limites de uso 2x maiores por tempo limitado",
|
||||
"go.meta.description":
|
||||
"O Go começa em $5 no primeiro mês, depois $10/mês, com limites generosos de uso e acesso confiável aos principais modelos de codificação.",
|
||||
"go.hero.title": "Modelos de codificação de baixo custo para todos",
|
||||
@@ -346,6 +346,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Retenção de dados",
|
||||
"go.faq.a5.retention30": "30 dias",
|
||||
"go.faq.a5.retention0": "0 dias",
|
||||
"go.faq.a5.used": "Usado",
|
||||
"go.faq.a5.notUsed": "Não usado",
|
||||
"go.faq.a5.noAgreement": "Sem acordo",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -394,9 +395,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "O modelo está desabilitado",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"A versão mais recente deste modelo está disponível apenas com hospedagem na China e requer adesão explícita: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Este modelo não está disponível no seu país.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Este modelo coleta dados usados para melhorar sua qualidade e exige seu consentimento explícito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"A promoção gratuita do {{model}} terminou. Você pode continuar usando o modelo assinando o OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende undtagelser",
|
||||
|
||||
"go.title": "OpenCode Go | Kodningsmodeller til lav pris for alle",
|
||||
"go.banner.text": "Hy3 får 8x højere brugsgrænser i en begrænset periode",
|
||||
"go.banner.text": "DeepSeek V4 Flash får fordoblet brugsgrænse i en begrænset periode",
|
||||
"go.meta.description":
|
||||
"Go starter ved $5 for den første måned, derefter $10/måned, med generøse brugsgrænser og pålidelig adgang til førende kodningsmodeller.",
|
||||
"go.hero.title": "Kodningsmodeller til lav pris for alle",
|
||||
@@ -343,6 +343,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Dataopbevaring",
|
||||
"go.faq.a5.retention30": "30 dage",
|
||||
"go.faq.a5.retention0": "0 dage",
|
||||
"go.faq.a5.used": "Brugt",
|
||||
"go.faq.a5.notUsed": "Ikke brugt",
|
||||
"go.faq.a5.noAgreement": "Ingen aftale",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -391,9 +392,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modellen er deaktiveret",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Den nyeste version af denne model er kun tilgængelig som hostet i Kina og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Denne model er ikke tilgængelig i dit land.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Denne model indsamler data, der bruges til at forbedre dens kvalitet, og kræver, at du aktivt tilvælger den: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Den gratis kampagne for {{model}} er afsluttet. Du kan fortsætte med at bruge modellen ved at abonnere på OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "folgenden Ausnahmen",
|
||||
|
||||
"go.title": "OpenCode Go | Kostengünstige Coding-Modelle für alle",
|
||||
"go.banner.text": "Hy3 erhält für begrenzte Zeit 8x Nutzungslimits",
|
||||
"go.banner.text": "DeepSeek V4 Flash erhält für begrenzte Zeit 2x Nutzungslimits",
|
||||
"go.meta.description":
|
||||
"Go beginnt bei $5 für deinen ersten Monat, danach $10/Monat, mit großzügigen Nutzungslimits und zuverlässigem Zugang zu führenden Coding-Modellen.",
|
||||
"go.hero.title": "Kostengünstige Coding-Modelle für alle",
|
||||
@@ -345,6 +345,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Datenaufbewahrung",
|
||||
"go.faq.a5.retention30": "30 Tage",
|
||||
"go.faq.a5.retention0": "0 Tage",
|
||||
"go.faq.a5.used": "Verwendet",
|
||||
"go.faq.a5.notUsed": "Nicht verwendet",
|
||||
"go.faq.a5.noAgreement": "Keine Vereinbarung",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -393,9 +394,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modell ist deaktiviert",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Die neueste Version dieses Modells ist nur verfügbar, wenn sie in China gehostet wird, und muss ausdrücklich aktiviert werden: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Dieses Modell ist in deinem Land nicht verfügbar.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Dieses Modell erfasst Daten, die zur Verbesserung seiner Qualität verwendet werden, und erfordert deine ausdrückliche Zustimmung: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Die kostenlose Aktion für {{model}} ist beendet. Du kannst das Modell weiterhin nutzen, indem du OpenCode Go abonnierst - {{link}}",
|
||||
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "following exceptions",
|
||||
|
||||
"go.title": "OpenCode Go | Low cost coding models for everyone",
|
||||
"go.banner.text": "Hy3 gets 8× usage limits for a limited time",
|
||||
"go.banner.text": "DeepSeek V4 Flash gets 2× usage limits for a limited time",
|
||||
"go.meta.description":
|
||||
"Go starts at $5 for your first month, then $10/month, with generous usage limits and reliable access to leading coding models.",
|
||||
"go.hero.title": "Low cost coding models for everyone",
|
||||
@@ -341,6 +341,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Data retention",
|
||||
"go.faq.a5.retention30": "30 days",
|
||||
"go.faq.a5.retention0": "0 days",
|
||||
"go.faq.a5.used": "Used",
|
||||
"go.faq.a5.notUsed": "Not used",
|
||||
"go.faq.a5.noAgreement": "No agreement",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -390,9 +391,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model is disabled",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"The latest version of this model is only available hosted in China and requires explicit opt in: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "This model is not available in your country.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"This model collects data used to improve its quality and requires explicit opt in: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Free promotion has ended for {{model}}. You can continue using the model by subscribing to OpenCode Go - {{link}}",
|
||||
|
||||
@@ -674,8 +672,7 @@ export const dict = {
|
||||
'Select "OpenCode Go" as the provider in your opencode configuration to use Go models.',
|
||||
"workspace.lite.providers.title": "Providers",
|
||||
"workspace.lite.providers.description": "Control which providers are used for routing.",
|
||||
"workspace.lite.providers.allowTraining": "Allow models that train on request data",
|
||||
"workspace.lite.providers.useChina": "Allow models hosted in China",
|
||||
"workspace.lite.providers.useChina": "Enable models hosted in China",
|
||||
"workspace.lite.black.message":
|
||||
"You're currently subscribed to OpenCode Black or on the waitlist. Please unsubscribe first if you'd like to switch to Go.",
|
||||
"workspace.lite.other.message":
|
||||
|
||||
@@ -257,7 +257,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "siguientes excepciones",
|
||||
|
||||
"go.title": "OpenCode Go | Modelos de programación de bajo coste para todos",
|
||||
"go.banner.text": "Hy3 tiene límites de uso 8x mayores por tiempo limitado",
|
||||
"go.banner.text": "DeepSeek V4 Flash tiene límites de uso 2x mayores por tiempo limitado",
|
||||
"go.meta.description":
|
||||
"Go comienza en $5 el primer mes, luego 10 $/mes, con límites de uso generosos y acceso fiable a modelos de programación líderes.",
|
||||
"go.hero.title": "Modelos de programación de bajo coste para todos",
|
||||
@@ -346,6 +346,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Retención de datos",
|
||||
"go.faq.a5.retention30": "30 días",
|
||||
"go.faq.a5.retention0": "0 días",
|
||||
"go.faq.a5.used": "Utilizado",
|
||||
"go.faq.a5.notUsed": "No utilizado",
|
||||
"go.faq.a5.noAgreement": "Sin acuerdo",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -394,9 +395,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "El modelo está deshabilitado",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La versión más reciente de este modelo solo está disponible alojada en China y requiere una aceptación explícita: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Este modelo no está disponible en tu país.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Este modelo recopila datos que se utilizan para mejorar su calidad y requiere tu consentimiento explícito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promoción gratuita de {{model}} ha finalizado. Puedes seguir usando el modelo suscribiéndote a OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -258,7 +258,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "exceptions suivantes",
|
||||
|
||||
"go.title": "OpenCode Go | Modèles de code à faible coût pour tous",
|
||||
"go.banner.text": "Hy3 bénéficie de limites d’utilisation 8x supérieures pour une durée limitée",
|
||||
"go.banner.text": "DeepSeek V4 Flash bénéficie de limites d’utilisation 2x supérieures pour une durée limitée",
|
||||
"go.meta.description":
|
||||
"Go commence à $5 pour le premier mois, puis 10 $/mois, avec des limites d'utilisation généreuses et un accès fiable aux principaux modèles de codage.",
|
||||
"go.hero.title": "Modèles de code à faible coût pour tous",
|
||||
@@ -347,6 +347,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Conservation des données",
|
||||
"go.faq.a5.retention30": "30 jours",
|
||||
"go.faq.a5.retention0": "0 jour",
|
||||
"go.faq.a5.used": "Utilisé",
|
||||
"go.faq.a5.notUsed": "Non utilisé",
|
||||
"go.faq.a5.noAgreement": "Aucun accord",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -395,9 +396,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Le modèle est désactivé",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La dernière version de ce modèle est uniquement disponible avec un hébergement en Chine et nécessite votre consentement explicite : {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ce modèle n’est pas disponible dans votre pays.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ce modèle collecte des données utilisées pour améliorer sa qualité et nécessite votre consentement explicite : {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promotion gratuite de {{model}} est terminée. Vous pouvez continuer à utiliser le modèle en vous abonnant à OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "seguenti eccezioni",
|
||||
|
||||
"go.title": "OpenCode Go | Modelli di coding a basso costo per tutti",
|
||||
"go.banner.text": "Hy3 offre limiti di utilizzo 8x superiori per un periodo limitato",
|
||||
"go.banner.text": "DeepSeek V4 Flash offre limiti di utilizzo 2x superiori per un periodo limitato",
|
||||
"go.meta.description":
|
||||
"Go inizia a $5 per il primo mese, poi $10/mese, con limiti di utilizzo generosi e un accesso affidabile ai principali modelli di coding.",
|
||||
"go.hero.title": "Modelli di coding a basso costo per tutti",
|
||||
@@ -342,6 +342,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Conservazione dei dati",
|
||||
"go.faq.a5.retention30": "30 giorni",
|
||||
"go.faq.a5.retention0": "0 giorni",
|
||||
"go.faq.a5.used": "Utilizzato",
|
||||
"go.faq.a5.notUsed": "Non utilizzato",
|
||||
"go.faq.a5.noAgreement": "Nessun accordo",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -390,9 +391,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Il modello è disabilitato",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"La versione più recente di questo modello è disponibile solo con hosting in Cina e richiede un consenso esplicito: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Questo modello non è disponibile nel tuo paese.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Questo modello raccoglie dati utilizzati per migliorarne la qualità e richiede il tuo consenso esplicito: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"La promozione gratuita di {{model}} è terminata. Puoi continuare a usare il modello abbonandoti a OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下の例外",
|
||||
|
||||
"go.title": "OpenCode Go | すべての人のための低価格なコーディングモデル",
|
||||
"go.banner.text": "Hy3の利用上限が期間限定で8倍に",
|
||||
"go.banner.text": "DeepSeek V4 Flashの利用上限が期間限定で2倍に",
|
||||
"go.meta.description":
|
||||
"Goは最初の月$5、その後$10/月で、主要なコーディングモデルへのゆとりある利用上限と安定したアクセスを提供します。",
|
||||
"go.hero.title": "すべての人のための低価格なコーディングモデル",
|
||||
@@ -342,6 +342,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "データ保持",
|
||||
"go.faq.a5.retention30": "30日",
|
||||
"go.faq.a5.retention0": "0日",
|
||||
"go.faq.a5.used": "使用あり",
|
||||
"go.faq.a5.notUsed": "使用なし",
|
||||
"go.faq.a5.noAgreement": "契約なし",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -389,9 +390,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "モデルが無効です",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"このモデルの最新バージョンは中国でのみホスト提供されており、利用するには明示的なオプトインが必要です: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "このモデルはお住まいの国では利用できません。",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"このモデルは品質向上のためのデータを収集します。利用するには明示的な同意が必要です: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}} の無料プロモーションは終了しました。OpenCode Go を購読するとモデルを引き続き使用できます - {{link}}",
|
||||
|
||||
|
||||
@@ -250,7 +250,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "다음 예외",
|
||||
|
||||
"go.title": "OpenCode Go | 모두를 위한 저비용 코딩 모델",
|
||||
"go.banner.text": "Hy3 사용 한도가 한시적으로 8배 확대됩니다",
|
||||
"go.banner.text": "DeepSeek V4 Flash 사용 한도가 한시적으로 2배 확대됩니다",
|
||||
"go.meta.description":
|
||||
"Go는 첫 달 $5, 이후 $10/월로 시작하며, 넉넉한 사용 한도와 주요 코딩 모델에 대한 안정적인 액세스를 제공합니다.",
|
||||
"go.hero.title": "모두를 위한 저비용 코딩 모델",
|
||||
@@ -338,6 +338,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "데이터 보존",
|
||||
"go.faq.a5.retention30": "30일",
|
||||
"go.faq.a5.retention0": "0일",
|
||||
"go.faq.a5.used": "사용됨",
|
||||
"go.faq.a5.notUsed": "사용되지 않음",
|
||||
"go.faq.a5.noAgreement": "합의 없음",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -383,9 +384,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "모델이 비활성화되었습니다",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"이 모델의 최신 버전은 중국에서 호스팅되는 경우에만 사용할 수 있으며, 명시적으로 사용에 동의해야 합니다: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "이 모델은 거주 국가에서 사용할 수 없습니다.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"이 모델은 품질 개선에 사용되는 데이터를 수집하며, 사용하려면 명시적으로 동의해야 합니다: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}}의 무료 프로모션이 종료되었습니다. OpenCode Go를 구독하면 모델을 계속 사용할 수 있습니다 - {{link}}",
|
||||
|
||||
|
||||
@@ -254,7 +254,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "følgende unntak",
|
||||
|
||||
"go.title": "OpenCode Go | Rimelige kodemodeller for alle",
|
||||
"go.banner.text": "Hy3 får 8x bruksgrense i en begrenset periode",
|
||||
"go.banner.text": "DeepSeek V4 Flash får 2x bruksgrense i en begrenset periode",
|
||||
"go.meta.description":
|
||||
"Go starter på $5 for den første måneden, deretter $10/måned, med sjenerøse bruksgrenser og pålitelig tilgang til ledende kodemodeller.",
|
||||
"go.hero.title": "Rimelige kodemodeller for alle",
|
||||
@@ -343,6 +343,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Dataoppbevaring",
|
||||
"go.faq.a5.retention30": "30 dager",
|
||||
"go.faq.a5.retention0": "0 dager",
|
||||
"go.faq.a5.used": "Brukes",
|
||||
"go.faq.a5.notUsed": "Brukes ikke",
|
||||
"go.faq.a5.noAgreement": "Ingen avtale",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -392,9 +393,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Modellen er deaktivert",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Den nyeste versjonen av denne modellen er bare tilgjengelig som en tjeneste driftet i Kina og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Denne modellen er ikke tilgjengelig i landet ditt.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Denne modellen samler inn data som brukes til å forbedre modellens kvalitet, og krever at du uttrykkelig samtykker: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Den gratis kampanjen for {{model}} er avsluttet. Du kan fortsette å bruke modellen ved å abonnere på OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -255,7 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "następującymi wyjątkami",
|
||||
|
||||
"go.title": "OpenCode Go | Niskokosztowe modele do kodowania dla każdego",
|
||||
"go.banner.text": "Hy3 oferuje 8x wyższe limity użycia przez ograniczony czas",
|
||||
"go.banner.text": "DeepSeek V4 Flash oferuje 2x wyższe limity użycia przez ograniczony czas",
|
||||
"go.meta.description":
|
||||
"Go kosztuje $5 za pierwszy miesiąc, a następnie $10/miesiąc, oferując hojne limity użycia i niezawodny dostęp do wiodących modeli do kodowania.",
|
||||
"go.hero.title": "Niskokosztowe modele do kodowania dla każdego",
|
||||
@@ -344,6 +344,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Retencja danych",
|
||||
"go.faq.a5.retention30": "30 dni",
|
||||
"go.faq.a5.retention0": "0 dni",
|
||||
"go.faq.a5.used": "Wykorzystywane",
|
||||
"go.faq.a5.notUsed": "Niewykorzystywane",
|
||||
"go.faq.a5.noAgreement": "Brak umowy",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -392,9 +393,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model jest wyłączony",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Najnowsza wersja tego modelu jest dostępna wyłącznie jako usługa hostowana w Chinach i wymaga jawnej zgody użytkownika: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ten model nie jest dostępny w Twoim kraju.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ten model zbiera dane wykorzystywane do poprawy jego jakości i wymaga wyraźnej zgody użytkownika: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Bezpłatna promocja {{model}} dobiegła końca. Możesz dalej korzystać z modelu, subskrybując OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -258,7 +258,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "следующими исключениями",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогие модели для кодинга для всех",
|
||||
"go.banner.text": "Hy3 получает 8x лимиты использования на ограниченное время",
|
||||
"go.banner.text": "DeepSeek V4 Flash получает 2x лимиты использования на ограниченное время",
|
||||
"go.meta.description":
|
||||
"Go стоит $5 за первый месяц, затем $10/месяц и предлагает щедрые лимиты использования и надежный доступ к ведущим моделям для кодинга.",
|
||||
"go.hero.title": "Недорогие модели для кодинга для всех",
|
||||
@@ -348,6 +348,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Хранение данных",
|
||||
"go.faq.a5.retention30": "30 дней",
|
||||
"go.faq.a5.retention0": "0 дней",
|
||||
"go.faq.a5.used": "Используется",
|
||||
"go.faq.a5.notUsed": "Не используется",
|
||||
"go.faq.a5.noAgreement": "Нет соглашения",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -397,9 +398,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Модель отключена",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Последняя версия этой модели размещена только в Китае. Чтобы использовать её, необходимо явно подтвердить согласие: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Эта модель недоступна в вашей стране.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Эта модель собирает данные, которые используются для улучшения её качества, и требует явного согласия: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Бесплатная акция для {{model}} завершена. Вы можете продолжить использование модели, подписавшись на OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -253,7 +253,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "ข้อยกเว้นดังนี้",
|
||||
|
||||
"go.title": "OpenCode Go | โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
"go.banner.text": "Hy3 เพิ่มโควตาการใช้งานเป็น 8 เท่าในช่วงเวลาจำกัด",
|
||||
"go.banner.text": "DeepSeek V4 Flash เพิ่มโควตาการใช้งานเป็น 2 เท่าในช่วงเวลาจำกัด",
|
||||
"go.meta.description":
|
||||
"Go เริ่มต้นที่ $5 สำหรับเดือนแรก จากนั้น $10/เดือน พร้อมขีดจำกัดการใช้งานที่เอื้อเฟื้อและการเข้าถึงโมเดลเขียนโค้ดชั้นนำอย่างเชื่อถือได้",
|
||||
"go.hero.title": "โมเดลเขียนโค้ดราคาประหยัดสำหรับทุกคน",
|
||||
@@ -340,6 +340,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "การเก็บรักษาข้อมูล",
|
||||
"go.faq.a5.retention30": "30 วัน",
|
||||
"go.faq.a5.retention0": "0 วัน",
|
||||
"go.faq.a5.used": "นำไปใช้",
|
||||
"go.faq.a5.notUsed": "ไม่นำไปใช้",
|
||||
"go.faq.a5.noAgreement": "ไม่มีข้อตกลง",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -387,9 +388,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "โมเดลถูกปิดใช้งาน",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"โมเดลเวอร์ชันล่าสุดนี้ให้บริการเฉพาะผ่านระบบที่โฮสต์ในประเทศจีน และต้องให้ความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "โมเดลนี้ไม่พร้อมให้บริการในประเทศของคุณ",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"โมเดลนี้เก็บรวบรวมข้อมูลที่ใช้เพื่อปรับปรุงคุณภาพของโมเดล และต้องได้รับความยินยอมอย่างชัดแจ้งก่อนใช้งาน: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"โปรโมชันฟรีสำหรับ {{model}} สิ้นสุดแล้ว คุณสามารถใช้โมเดลต่อได้โดยสมัครสมาชิก OpenCode Go - {{link}}",
|
||||
|
||||
|
||||
@@ -256,7 +256,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "aşağıdaki istisnalar",
|
||||
|
||||
"go.title": "OpenCode Go | Herkes için düşük maliyetli kodlama modelleri",
|
||||
"go.banner.text": "Hy3 sınırlı bir süre için 8x kullanım limiti sunuyor",
|
||||
"go.banner.text": "DeepSeek V4 Flash sınırlı bir süre için 2x kullanım limiti sunuyor",
|
||||
"go.meta.description":
|
||||
"Go ilk ay $5, sonrasında ayda 10$ fiyatıyla başlar; cömert kullanım limitleri ve önde gelen kodlama modellerine güvenilir erişim sunar.",
|
||||
"go.hero.title": "Herkes için düşük maliyetli kodlama modelleri",
|
||||
@@ -346,6 +346,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Veri saklama",
|
||||
"go.faq.a5.retention30": "30 gün",
|
||||
"go.faq.a5.retention0": "0 gün",
|
||||
"go.faq.a5.used": "Kullanılır",
|
||||
"go.faq.a5.notUsed": "Kullanılmaz",
|
||||
"go.faq.a5.noAgreement": "Anlaşma yok",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -395,9 +396,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Model devre dışı",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Bu modelin en son sürümü yalnızca Çin'de barındırılıyor ve kullanabilmek için açıkça onay vermeniz gerekiyor: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Bu model ülkenizde kullanılamıyor.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Bu model, kalitesini artırmak için kullanılan verileri toplar. Modeli kullanabilmek için açıkça onay vermeniz gerekir: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"{{model}} için ücretsiz promosyon sona erdi. OpenCode Go'ya abone olarak modeli kullanmaya devam edebilirsiniz - {{link}}",
|
||||
|
||||
|
||||
@@ -255,7 +255,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "такими винятками",
|
||||
|
||||
"go.title": "OpenCode Go | Недорогі моделі кодування для всіх",
|
||||
"go.banner.text": "Hy3 отримує 8x ліміти використання протягом обмеженого часу",
|
||||
"go.banner.text": "DeepSeek V4 Flash отримує 2x ліміти використання протягом обмеженого часу",
|
||||
"go.meta.description":
|
||||
"Go починається від $5 за перший місяць, потім $10/місяць, зі щедрими лімітами використання та надійним доступом до провідних моделей для кодування.",
|
||||
"go.hero.title": "Недорогі моделі кодування для всіх",
|
||||
@@ -344,6 +344,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "Зберігання даних",
|
||||
"go.faq.a5.retention30": "30 днів",
|
||||
"go.faq.a5.retention0": "0 днів",
|
||||
"go.faq.a5.used": "Використовується",
|
||||
"go.faq.a5.notUsed": "Не використовується",
|
||||
"go.faq.a5.noAgreement": "Немає угоди",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -391,9 +392,6 @@ export const dict = {
|
||||
"zen.api.error.modelDisabled": "Модель вимкнено",
|
||||
"zen.api.error.regionNotAllowed":
|
||||
"Остання версія цієї моделі доступна лише на серверах у Китаї, і для її використання потрібно надати явну згоду: {{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "Ця модель недоступна у вашій країні.",
|
||||
"zen.api.error.trainingNotAllowed":
|
||||
"Ця модель збирає дані, які використовуються для покращення її якості; для її використання потрібна ваша явна згода: {{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded":
|
||||
"Безкоштовна акція для {{model}} закінчилася. Ви можете продовжити використання, підписавшись на OpenCode Go — {{link}}",
|
||||
|
||||
|
||||
@@ -244,7 +244,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情况除外",
|
||||
|
||||
"go.title": "OpenCode Go | 人人可用的低成本编程模型",
|
||||
"go.banner.text": "Hy3 限时享受 8 倍使用额度",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限时享受 2 倍使用额度",
|
||||
"go.meta.description": "Go 首月 $5，之后 $10/月，提供充裕的使用限额，并可可靠访问领先的编程模型。",
|
||||
"go.hero.title": "人人可用的低成本编程模型",
|
||||
"go.hero.body":
|
||||
@@ -326,6 +326,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "数据留存",
|
||||
"go.faq.a5.retention30": "30 天",
|
||||
"go.faq.a5.retention0": "0 天",
|
||||
"go.faq.a5.used": "使用",
|
||||
"go.faq.a5.notUsed": "不使用",
|
||||
"go.faq.a5.noAgreement": "无协议",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -368,8 +369,6 @@ export const dict = {
|
||||
"zen.api.error.userMonthlyLimitReached": "您已达到每月支出限额 ${{amount}}。请在此处管理您的限额：{{membersUrl}}",
|
||||
"zen.api.error.modelDisabled": "模型已禁用",
|
||||
"zen.api.error.regionNotAllowed": "该模型的最新版本仅在中国提供托管服务，需明确选择启用：{{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "该模型在你所在的国家或地区不可用。",
|
||||
"zen.api.error.trainingNotAllowed": "该模型会收集用于提升其质量的数据，使用前需要你明确同意：{{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded": "{{model}} 的限免活动已结束。您可以订阅 OpenCode Go 继续使用该模型 - {{link}}",
|
||||
|
||||
"black.meta.title": "OpenCode Black | 访问全球顶尖编程模型",
|
||||
|
||||
@@ -244,7 +244,7 @@ export const dict = {
|
||||
"zen.privacy.exceptionsLink": "以下例外情況",
|
||||
|
||||
"go.title": "OpenCode Go | 低成本全民編碼模型",
|
||||
"go.banner.text": "Hy3 限時享有 8 倍使用額度",
|
||||
"go.banner.text": "DeepSeek V4 Flash 限時享有 2 倍使用額度",
|
||||
"go.meta.description": "Go 首月 $5，之後 $10/月，提供充裕的使用限額，並可穩定存取領先的編碼模型。",
|
||||
"go.hero.title": "低成本全民編碼模型",
|
||||
"go.hero.body":
|
||||
@@ -326,6 +326,7 @@ export const dict = {
|
||||
"go.faq.a5.retention": "資料保留",
|
||||
"go.faq.a5.retention30": "30 天",
|
||||
"go.faq.a5.retention0": "0 天",
|
||||
"go.faq.a5.used": "使用",
|
||||
"go.faq.a5.notUsed": "不使用",
|
||||
"go.faq.a5.noAgreement": "無協議",
|
||||
"go.faq.a5.grokRetention":
|
||||
@@ -368,8 +369,6 @@ export const dict = {
|
||||
"zen.api.error.userMonthlyLimitReached": "你已達到每月支出限額 ${{amount}}。請在此處管理你的限額：{{membersUrl}}",
|
||||
"zen.api.error.modelDisabled": "模型已停用",
|
||||
"zen.api.error.regionNotAllowed": "此模型的最新版本僅於中國託管，且需明確選擇啟用：{{consoleGoUrl}}",
|
||||
"zen.api.error.countryNotAllowed": "此模型無法在你所在的國家或地區使用。",
|
||||
"zen.api.error.trainingNotAllowed": "此模型會收集用於提升其品質的資料，使用前須經你明確同意：{{consoleGoUrl}}",
|
||||
"zen.api.error.trialEnded": "{{model}} 的限免活动已結束。您可以訂閱 OpenCode Go 繼續使用該模型 - {{link}}",
|
||||
|
||||
"black.meta.title": "OpenCode Black | 存取全球最佳編碼模型",
|
||||
|
||||
@@ -1,78 +1,5 @@
|
||||
const MUSE_SPARK_BLOCKED_COUNTRIES = new Set([
|
||||
"AD",
|
||||
"AF",
|
||||
"AT",
|
||||
"AU",
|
||||
"BE",
|
||||
"BG",
|
||||
"BR",
|
||||
"BY",
|
||||
"CA",
|
||||
"CH",
|
||||
"CN",
|
||||
"CU",
|
||||
"CY",
|
||||
"CZ",
|
||||
"DE",
|
||||
"DK",
|
||||
"EE",
|
||||
"EH",
|
||||
"ER",
|
||||
"ES",
|
||||
"ET",
|
||||
"FI",
|
||||
"FR",
|
||||
"GB",
|
||||
"GR",
|
||||
"HK",
|
||||
"HR",
|
||||
"HT",
|
||||
"HU",
|
||||
"IE",
|
||||
"IQ",
|
||||
"IR",
|
||||
"IS",
|
||||
"IT",
|
||||
"KH",
|
||||
"KP",
|
||||
"KR",
|
||||
"LI",
|
||||
"LT",
|
||||
"LU",
|
||||
"LV",
|
||||
"LY",
|
||||
"MC",
|
||||
"MM",
|
||||
"MO",
|
||||
"MT",
|
||||
"NI",
|
||||
"NL",
|
||||
"NO",
|
||||
"PK",
|
||||
"PL",
|
||||
"PT",
|
||||
"RO",
|
||||
"RU",
|
||||
"SE",
|
||||
"SI",
|
||||
"SK",
|
||||
"SM",
|
||||
"SO",
|
||||
"SY",
|
||||
"VA",
|
||||
"VE",
|
||||
])
|
||||
|
||||
export function countryFromRequest(request: Request | undefined) {
|
||||
if (!request) return undefined
|
||||
const cloudflareRequest = request as Request & { cf?: { country?: string } }
|
||||
return cloudflareRequest.cf?.country ?? request.headers.get("cf-ipcountry") ?? undefined
|
||||
}
|
||||
|
||||
export function isModelCountryRestricted(model: string, country: string | undefined) {
|
||||
return (
|
||||
model === "muse-spark-1.2-contributor" &&
|
||||
country !== undefined &&
|
||||
MUSE_SPARK_BLOCKED_COUNTRIES.has(country.toUpperCase())
|
||||
)
|
||||
}
|
||||
|
||||
@@ -25,7 +25,6 @@ const checkLoggedIn = query(async () => {
|
||||
const models = [
|
||||
{ name: "Grok 4.5", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GPT 5.6 Luna", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention30" },
|
||||
{ name: "GLM-5.3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.2", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "GLM-5.1", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
{ name: "Kimi K3", training: "go.faq.a5.notUsed", retention: "go.faq.a5.retention0" },
|
||||
@@ -67,17 +66,24 @@ function LimitsGraph(props: { href: string }) {
|
||||
|
||||
const baseline = 100
|
||||
const graph = [
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "50ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "75ms" },
|
||||
{ id: "grok-4.5", name: "Grok 4.5", req: 120, d: "50ms" },
|
||||
{ id: "kimi-k3", name: "Kimi K3", req: 110, d: "75ms" },
|
||||
{ id: "qwen3.8-max", name: "Qwen3.8 Max", req: 160, d: "90ms" },
|
||||
{ id: "glm-5.2", name: "GLM-5.2", req: 880, d: "100ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 1050, d: "150ms" },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 2050, d: "290ms" },
|
||||
{ id: "minimax-m3", name: "MiniMax M3", req: 3200, d: "210ms" },
|
||||
{ id: "deepseek-v4-pro", name: "DeepSeek V4 Pro", req: 3450, d: "270ms" },
|
||||
{ id: "gpt-5.6-luna", name: "GPT 5.6 Luna", req: 4100, baseReq: 2050, d: "290ms" },
|
||||
{ id: "qwen3.7-plus", name: "Qwen3.7 Plus", req: 4300, d: "300ms" },
|
||||
{ id: "deepseek-v4-flash", name: "DeepSeek V4 Flash", req: 7600, d: "330ms" },
|
||||
{ id: "hy3", name: "Hy3", req: 4300, d: "320ms" },
|
||||
{ id: "mimo-v2.5", name: "MiMo-V2.5", req: 30100, d: "340ms" },
|
||||
{ id: "hy3", name: "Hy3", req: 34400, baseReq: 4300, d: "320ms" },
|
||||
{
|
||||
id: "deepseek-v4-flash",
|
||||
name: "DeepSeek V4 Flash",
|
||||
req: 63300,
|
||||
baseReq: 31650,
|
||||
edge: true,
|
||||
d: "340ms",
|
||||
},
|
||||
]
|
||||
|
||||
const w = 1040
|
||||
@@ -202,7 +208,7 @@ function LimitsGraph(props: { href: string }) {
|
||||
>
|
||||
<span data-value>{m.req.toLocaleString()}</span>
|
||||
<span data-name>{m.name}</span>
|
||||
{m.baseReq && <span data-bonus>8x usage</span>}
|
||||
{m.baseReq && <span data-bonus>2x usage</span>}
|
||||
</span>
|
||||
)}
|
||||
</For>
|
||||
|
||||
@@ -106,7 +106,6 @@
|
||||
|
||||
[data-slot="setting-row"] {
|
||||
margin-top: 0;
|
||||
padding-block: var(--space-2);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -39,7 +39,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
|
||||
timeCreated: LiteTable.timeCreated,
|
||||
lite: BillingTable.lite,
|
||||
region: WorkspaceTable.region,
|
||||
allowTraining: WorkspaceTable.allow_training,
|
||||
})
|
||||
.from(BillingTable)
|
||||
.innerJoin(LiteTable, eq(LiteTable.workspaceID, BillingTable.workspaceID))
|
||||
@@ -55,7 +54,6 @@ export const queryLiteSubscription = query(async (workspaceID: string) => {
|
||||
return {
|
||||
mine,
|
||||
useBalance: row.lite?.useBalance ?? false,
|
||||
allowTraining: row.allowTraining ?? false,
|
||||
region:
|
||||
row.region ?? (await Workspace.setDefaultRegion({ country: countryFromRequest(getRequestEvent()?.request) })),
|
||||
rollingUsage: Subscription.analyzeRollingUsage({
|
||||
@@ -156,24 +154,6 @@ const setGoProviderRouting = action(async (form: FormData) => {
|
||||
)
|
||||
}, "go.providerRouting.set")
|
||||
|
||||
const setGoAllowTraining = action(async (form: FormData) => {
|
||||
"use server"
|
||||
const workspaceID = form.get("workspaceID") as string | null
|
||||
if (!workspaceID) return { error: formError.workspaceRequired }
|
||||
const allowTraining = (form.get("allowTraining") as string | null) === "true"
|
||||
|
||||
return json(
|
||||
await withActor(
|
||||
() =>
|
||||
Workspace.update({ allow_training: allowTraining })
|
||||
.then(() => ({ error: undefined }))
|
||||
.catch((e) => ({ error: e.message as string })),
|
||||
workspaceID,
|
||||
),
|
||||
{ revalidate: queryLiteSubscription.key },
|
||||
)
|
||||
}, "go.allowTraining.set")
|
||||
|
||||
function LiteUsageItem(props: { label: string; usage: { usagePercent: number; resetInSec: number } }) {
|
||||
const i18n = useI18n()
|
||||
|
||||
@@ -206,7 +186,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
const checkoutSubmission = useSubmission(createLiteCheckoutUrl)
|
||||
const useBalanceSubmission = useSubmission(setLiteUseBalance)
|
||||
const providerRoutingSubmission = useSubmission(setGoProviderRouting)
|
||||
const allowTrainingSubmission = useSubmission(setGoAllowTraining)
|
||||
const [store, setStore] = createStore({
|
||||
loading: undefined as undefined | "session" | "checkout" | "alipay" | "upi",
|
||||
showModal: false,
|
||||
@@ -285,20 +264,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<h3>{i18n.t("workspace.lite.providers.title")}</h3>
|
||||
<p>{i18n.t("workspace.lite.providers.description")}</p>
|
||||
</div>
|
||||
<form action={setGoAllowTraining} method="post" data-slot="setting-row">
|
||||
<p>{i18n.t("workspace.lite.providers.allowTraining")}</p>
|
||||
<input type="hidden" name="workspaceID" value={params.id} />
|
||||
<input type="hidden" name="allowTraining" value={sub().allowTraining ? "false" : "true"} />
|
||||
<label data-slot="toggle-label">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={sub().allowTraining}
|
||||
disabled={allowTrainingSubmission.pending}
|
||||
onChange={(e) => e.currentTarget.form?.requestSubmit()}
|
||||
/>
|
||||
<span></span>
|
||||
</label>
|
||||
</form>
|
||||
<form action={setGoProviderRouting} method="post" data-slot="setting-row">
|
||||
<p>{i18n.t("workspace.lite.providers.useChina")}</p>
|
||||
<input type="hidden" name="workspaceID" value={params.id} />
|
||||
@@ -341,7 +306,6 @@ export function LiteSection(props: { lite: LiteSubscription | undefined }) {
|
||||
<ul data-slot="promo-models">
|
||||
<li>Grok 4.5</li>
|
||||
<li>GPT 5.6 Luna</li>
|
||||
<li>GLM-5.3</li>
|
||||
<li>GLM-5.2</li>
|
||||
<li>GLM-5.1</li>
|
||||
<li>Kimi K3</li>
|
||||
|
||||
@@ -4,7 +4,6 @@ export class MonthlyLimitError extends Error {}
|
||||
export class UserLimitError extends Error {}
|
||||
export class ModelError extends Error {}
|
||||
export class RegionError extends Error {}
|
||||
export class DataPolicyError extends Error {}
|
||||
|
||||
class LimitError extends Error {
|
||||
retryAfter?: number
|
||||
|
||||
@@ -22,7 +22,6 @@ import {
|
||||
UserLimitError,
|
||||
ModelError,
|
||||
RegionError,
|
||||
DataPolicyError,
|
||||
RateLimitError,
|
||||
FreeUsageLimitError,
|
||||
GoUsageLimitError,
|
||||
@@ -52,7 +51,7 @@ import { createModelTpsLimiter } from "./modelTpsLimiter"
|
||||
import { createProviderBudgetTracker } from "./providerBudgetTracker"
|
||||
import { accumulateUsage, HOT_WORKSPACES } from "./usageBatcher"
|
||||
import { Workspace } from "@opencode-ai/console-core/workspace.js"
|
||||
import { countryFromRequest, isModelCountryRestricted } from "~/lib/request-country"
|
||||
import { countryFromRequest } from "~/lib/request-country"
|
||||
|
||||
type ZenData = Awaited<ReturnType<typeof ZenData.list>>
|
||||
type RetryOptions = {
|
||||
@@ -122,8 +121,6 @@ export async function handler(
|
||||
})
|
||||
const zenData = ZenData.list(opts.modelList)
|
||||
const modelInfo = validateModel(zenData, model)
|
||||
const country = countryFromRequest(input.request)
|
||||
if (isModelCountryRestricted(modelInfo.id, country)) throw new RegionError(t("zen.api.error.countryNotAllowed"))
|
||||
const trialLimiter = createTrialLimiter(modelInfo.trialProvider, ip)
|
||||
const trialProviders = await trialLimiter?.check()
|
||||
const rateLimiter = modelInfo.allowAnonymous
|
||||
@@ -131,23 +128,12 @@ export async function handler(
|
||||
: createKeyRateLimiter(modelInfo.id, modelInfo.rateLimit, zenApiKey, input.request)
|
||||
await rateLimiter?.check()
|
||||
const authInfo = await authenticate(modelInfo, zenApiKey)
|
||||
if (
|
||||
authInfo &&
|
||||
opts.modelList === "lite" &&
|
||||
modelInfo.id === "muse-spark-1.2-contributor" &&
|
||||
!authInfo.allowTraining
|
||||
)
|
||||
throw new DataPolicyError(
|
||||
t("zen.api.error.trainingNotAllowed", {
|
||||
consoleGoUrl: `https://opencode.ai/workspace/${authInfo.workspaceID}/go`,
|
||||
}),
|
||||
)
|
||||
const allowedRegions = authInfo?.region
|
||||
? authInfo.region
|
||||
: await (async () => {
|
||||
if (!authInfo) return
|
||||
return Actor.provide("system", { workspaceID: authInfo.workspaceID }, () =>
|
||||
Workspace.setDefaultRegion({ country }),
|
||||
Workspace.setDefaultRegion({ country: countryFromRequest(input.request) }),
|
||||
)
|
||||
})()
|
||||
if (
|
||||
@@ -261,7 +247,7 @@ export async function handler(
|
||||
headers.delete("host")
|
||||
headers.delete("content-length")
|
||||
headers.delete("x-opencode-request")
|
||||
if (!isNewInference) headers.delete("x-opencode-session")
|
||||
headers.delete("x-opencode-session")
|
||||
headers.delete("x-opencode-project")
|
||||
headers.delete("x-opencode-client")
|
||||
return headers
|
||||
@@ -491,7 +477,7 @@ export async function handler(
|
||||
} catch {}
|
||||
}
|
||||
|
||||
if (error instanceof RegionError || error instanceof DataPolicyError)
|
||||
if (error instanceof RegionError)
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
type: "error",
|
||||
@@ -722,7 +708,6 @@ export async function handler(
|
||||
workspace: {
|
||||
id: WorkspaceTable.id,
|
||||
region: WorkspaceTable.region,
|
||||
allowTraining: WorkspaceTable.allow_training,
|
||||
isBlocked: WorkspaceTable.is_blocked,
|
||||
isFlaggedByAnthropic: WorkspaceTable.is_flagged_by_anthropic,
|
||||
isFlaggedByOpenAI: WorkspaceTable.is_flagged_by_openai,
|
||||
@@ -835,7 +820,6 @@ export async function handler(
|
||||
apiKeyId: data.apiKey,
|
||||
workspaceID: data.workspace.id,
|
||||
region: data.workspace.region,
|
||||
allowTraining: data.workspace.allowTraining ?? false,
|
||||
billing: data.billing,
|
||||
user: data.user,
|
||||
black: data.black,
|
||||
@@ -1048,14 +1032,11 @@ export async function handler(
|
||||
const { inputTokens, outputTokens, reasoningTokens, cacheReadTokens, cacheWrite5mTokens, cacheWrite1hTokens } =
|
||||
usageInfo
|
||||
|
||||
const hour = new Date().getUTCHours()
|
||||
const modelCost =
|
||||
modelInfo.costPeak && ((hour >= 1 && hour < 4) || (hour >= 6 && hour < 10))
|
||||
? modelInfo.costPeak
|
||||
: modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
modelInfo.cost200K &&
|
||||
inputTokens + (cacheReadTokens ?? 0) + (cacheWrite5mTokens ?? 0) + (cacheWrite1hTokens ?? 0) > 200_000
|
||||
? modelInfo.cost200K
|
||||
: modelInfo.cost
|
||||
|
||||
const inputCost = modelCost.input * inputTokens * 100
|
||||
const outputCost = modelCost.output * outputTokens * 100
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
ALTER TABLE `workspace` ADD `allow_non_zdr` boolean;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1 +0,0 @@
|
||||
ALTER TABLE `workspace` RENAME COLUMN `allow_non_zdr` TO `allow_training`;
|
||||
File diff suppressed because it is too large
Load Diff
@@ -24,7 +24,6 @@ export namespace ZenData {
|
||||
cost: ModelCostSchema,
|
||||
costMultiplier: z.number().default(1),
|
||||
cost200K: ModelCostSchema.optional(),
|
||||
costPeak: ModelCostSchema.optional(),
|
||||
allowAnonymous: z.boolean().optional(),
|
||||
byokProvider: z.enum(["openai", "anthropic", "google"]).optional(),
|
||||
stickyProvider: z.enum(["strict", "prefer"]).optional(),
|
||||
|
||||
@@ -53,7 +53,6 @@ export const BillingTable = mysqlTable(
|
||||
...workspaceIndexes(table),
|
||||
uniqueIndex("global_customer_id").on(table.customerID),
|
||||
uniqueIndex("global_subscription_id").on(table.subscriptionID),
|
||||
uniqueIndex("global_lite_subscription_id").on(table.liteSubscriptionID),
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { bigint, index, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
|
||||
import { bigint, mysqlTable, primaryKey, uniqueIndex, varchar } from "drizzle-orm/mysql-core"
|
||||
import { timestamps, ulid, utc, workspaceColumns } from "../drizzle/types"
|
||||
import { workspaceIndexes } from "./workspace.sql"
|
||||
|
||||
@@ -31,8 +31,5 @@ export const ReferralRewardTable = mysqlTable(
|
||||
amount: bigint("amount", { mode: "number" }).notNull(),
|
||||
timeApplied: utc("time_applied"),
|
||||
},
|
||||
(table) => [
|
||||
primaryKey({ columns: [table.workspaceID, table.referralID] }),
|
||||
index("referral_id").on(table.referralID),
|
||||
],
|
||||
(table) => [primaryKey({ columns: [table.workspaceID, table.referralID] })],
|
||||
)
|
||||
|
||||
@@ -8,7 +8,6 @@ export const WorkspaceTable = mysqlTable(
|
||||
slug: varchar("slug", { length: 255 }),
|
||||
name: varchar("name", { length: 255 }).notNull(),
|
||||
region: json("region").$type<("us" | "eu" | "sg" | "cn")[]>(),
|
||||
allow_training: boolean(),
|
||||
is_blocked: boolean(),
|
||||
is_flagged_by_anthropic: boolean(),
|
||||
is_flagged_by_openai: boolean(),
|
||||
|
||||
@@ -62,7 +62,6 @@ export namespace Workspace {
|
||||
z.object({
|
||||
name: z.string().min(1).max(255).optional(),
|
||||
region: z.array(Region).min(1).optional(),
|
||||
allow_training: z.boolean().optional(),
|
||||
}),
|
||||
async (input) => {
|
||||
Actor.assertAdmin()
|
||||
@@ -73,7 +72,6 @@ export namespace Workspace {
|
||||
.set({
|
||||
...("name" in input ? { name: input.name } : {}),
|
||||
...("region" in input ? { region: input.region } : {}),
|
||||
...("allow_training" in input ? { allow_training: input.allow_training } : {}),
|
||||
})
|
||||
.where(eq(WorkspaceTable.id, workspaceID)),
|
||||
)
|
||||
|
||||
@@ -70,7 +70,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -101,7 +101,7 @@
|
||||
"@parcel/watcher": "2.5.1",
|
||||
"@silvia-odwyer/photon-node": "0.3.4",
|
||||
"@openrouter/ai-sdk-provider": "2.9.0",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bun-pty": "0.4.8",
|
||||
"cross-spawn": "catalog:",
|
||||
"diff": "catalog:",
|
||||
|
||||
@@ -24,15 +24,9 @@ export const CloudflareAIGatewayPlugin = define({
|
||||
apiKey: config.apiKey,
|
||||
options: gatewayOptions(evt.options, metadata),
|
||||
} as any)
|
||||
const unified = createUnified({ apiKey: config.apiKey })
|
||||
evt.sdk = {
|
||||
languageModel(modelID: string) {
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: config.apiKey } : {})
|
||||
return gateway(unified(modelID))
|
||||
},
|
||||
}
|
||||
|
||||
@@ -13,7 +13,7 @@ import { ConfigProviderV1 } from "../../v1/config/provider"
|
||||
import { ConfigProviderOptionsV1 } from "../../v1/config/provider-options"
|
||||
import { ConfigV1 } from "../../v1/config/config"
|
||||
|
||||
const defaultServer = "https://opencode.ai/console"
|
||||
const defaultServer = "https://console.opencode.ai"
|
||||
const clientID = "opencode-cli"
|
||||
const methodID = Integration.MethodID.make("device")
|
||||
const RemoteResponse = Schema.Struct({ config: ConfigV1.Info })
|
||||
|
||||
@@ -173,6 +173,18 @@ export const buildPrompt = (input: { readonly previousSummary?: string; readonly
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const buildReplayPrompt = (previousSummary?: string) => {
|
||||
const instruction =
|
||||
"Create a new anchored summary from the conversation messages above so another coding agent can continue the work."
|
||||
if (!previousSummary) return [instruction, SUMMARY_TEMPLATE].join("\n\n")
|
||||
return [
|
||||
instruction,
|
||||
`Here is the summary of the conversation before the messages above:\n\n<prior-summary>\n${previousSummary}\n</prior-summary>`,
|
||||
SUMMARY_UPDATE_INSTRUCTIONS,
|
||||
SUMMARY_TEMPLATE,
|
||||
].join("\n\n")
|
||||
}
|
||||
|
||||
export const make = (dependencies: Dependencies) => {
|
||||
const config = settings(dependencies.config)
|
||||
const compactAfterOverflow = Effect.fn("SessionCompaction.compactAfterOverflow")(function* (input: Input) {
|
||||
@@ -202,7 +214,6 @@ export const make = (dependencies: Dependencies) => {
|
||||
.stream(
|
||||
LLM.request({
|
||||
model: input.model,
|
||||
http: input.request.http,
|
||||
messages: [Message.user(summaryPrompt)],
|
||||
tools: [],
|
||||
generation: { maxTokens: summaryOutput },
|
||||
|
||||
@@ -12,6 +12,7 @@ import { SessionMessage } from "./message"
|
||||
import { SessionMessageUpdater } from "./message-updater"
|
||||
import { SessionInput } from "./input"
|
||||
import { WorkspaceV2 } from "../workspace"
|
||||
import { SessionContextEpoch } from "./context-epoch"
|
||||
import { MessageTable, PartTable, SessionInputTable, SessionMessageTable, SessionTable } from "./sql"
|
||||
import type { DeepMutable } from "../schema"
|
||||
|
||||
@@ -252,6 +253,7 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
yield* events.project(SessionV1.Event.Deleted, (event) =>
|
||||
@@ -447,6 +449,7 @@ const layer = Layer.effectDiscard(
|
||||
.where(eq(SessionTable.id, event.data.sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* SessionContextEpoch.reset(db, event.data.sessionID)
|
||||
}),
|
||||
)
|
||||
}),
|
||||
|
||||
@@ -204,13 +204,6 @@ const layer = Layer.effect(
|
||||
const promptCacheKey = /^ses_[0-9a-f]{64}$/.test(session.id) ? session.id.slice(4) : session.id
|
||||
const request = LLM.request({
|
||||
model,
|
||||
http: {
|
||||
headers: {
|
||||
"x-session-affinity": session.id,
|
||||
"X-Session-Id": session.id,
|
||||
...(session.parentID ? { "x-parent-session-id": session.parentID } : {}),
|
||||
},
|
||||
},
|
||||
providerOptions: { openai: { promptCacheKey } },
|
||||
system: [agent.info?.system, system.baseline]
|
||||
.filter((part): part is string => part !== undefined && part.length > 0)
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { describe, expect } from "bun:test"
|
||||
import { DateTime, Effect, Schema } from "effect"
|
||||
import { asc, eq, sql } from "drizzle-orm"
|
||||
import { asc, eq } from "drizzle-orm"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { LayerNode } from "@opencode-ai/core/effect/layer-node"
|
||||
import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
|
||||
@@ -22,7 +22,6 @@ import { SessionInput } from "@opencode-ai/core/session/input"
|
||||
import { SessionInputTable, SessionMessageTable, SessionTable } from "@opencode-ai/core/session/sql"
|
||||
import { testEffect } from "./lib/effect"
|
||||
import { Snapshot } from "@opencode-ai/core/snapshot"
|
||||
import { Location } from "@opencode-ai/core/location"
|
||||
|
||||
const it = testEffect(AppNodeBuilder.build(LayerNode.group([Database.node, EventV2.node, SessionProjector.node])))
|
||||
const sessionsLayer = AppNodeBuilder.build(SessionV2.node, [[SessionExecution.node, SessionExecution.noopLayer]])
|
||||
@@ -45,39 +44,6 @@ const assistantRow = (
|
||||
}
|
||||
|
||||
describe("SessionProjector", () => {
|
||||
it.effect("projects moved sessions without the transitional context epoch table", () =>
|
||||
Effect.gen(function* () {
|
||||
const { db } = yield* Database.Service
|
||||
const events = yield* EventV2.Service
|
||||
yield* db
|
||||
.insert(ProjectTable)
|
||||
.values({ id: Project.ID.global, worktree: AbsolutePath.make("/project"), sandboxes: [] })
|
||||
.run()
|
||||
yield* db
|
||||
.insert(SessionTable)
|
||||
.values({
|
||||
id: sessionID,
|
||||
project_id: Project.ID.global,
|
||||
slug: "test",
|
||||
directory: "/project",
|
||||
title: "test",
|
||||
version: "test",
|
||||
})
|
||||
.run()
|
||||
yield* db.run(sql`DROP TABLE session_context_epoch`)
|
||||
|
||||
yield* events.publish(SessionEvent.Moved, {
|
||||
sessionID,
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/project/subdir") }),
|
||||
})
|
||||
|
||||
expect(yield* db.select({ directory: SessionTable.directory }).from(SessionTable).get()).toEqual({
|
||||
directory: "/project/subdir",
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("projects staged, cleared, and committed reverts", () =>
|
||||
Effect.gen(function* () {
|
||||
const db = (yield* Database.Service).db
|
||||
|
||||
@@ -703,6 +703,13 @@ describe("SessionRunnerLLM", () => {
|
||||
timestamp: DateTime.makeUnsafe(1),
|
||||
location: Location.Ref.make({ directory: AbsolutePath.make("/moved") }),
|
||||
})
|
||||
expect(
|
||||
yield* db
|
||||
.select()
|
||||
.from(SessionContextEpochTable)
|
||||
.where(eq(SessionContextEpochTable.session_id, sessionID))
|
||||
.get(),
|
||||
).toBeUndefined()
|
||||
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Second" }), resume: false })
|
||||
const exit = yield* session.resume(sessionID).pipe(Effect.exit)
|
||||
@@ -1101,16 +1108,6 @@ describe("SessionRunnerLLM", () => {
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests).toHaveLength(2)
|
||||
expect(requests.map((request) => request.http?.headers)).toEqual([
|
||||
{
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
},
|
||||
{
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
},
|
||||
])
|
||||
expect(userTexts(requests[0])[0]).toContain("## Objective")
|
||||
expect(userTexts(requests[1])).toHaveLength(1)
|
||||
expect(userTexts(requests[1])[0]).toContain("<summary>\n## Objective\n- Preserve the task\n</summary>")
|
||||
@@ -2518,43 +2515,6 @@ describe("SessionRunnerLLM", () => {
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("adds session correlation headers to model requests", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run correlated request" }), resume: false })
|
||||
|
||||
requests.length = 0
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests[0]?.http?.headers).toEqual({
|
||||
"x-session-affinity": sessionID,
|
||||
"X-Session-Id": sessionID,
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("adds the parent session header to child model requests", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
const session = yield* SessionV2.Service
|
||||
const parentID = SessionV2.ID.make("ses_runner_parent")
|
||||
const { db } = yield* Database.Service
|
||||
yield* db
|
||||
.update(SessionTable)
|
||||
.set({ parent_id: parentID })
|
||||
.where(eq(SessionTable.id, sessionID))
|
||||
.run()
|
||||
.pipe(Effect.orDie)
|
||||
yield* session.prompt({ sessionID, prompt: Prompt.make({ text: "Run child request" }), resume: false })
|
||||
|
||||
requests.length = 0
|
||||
yield* session.resume(sessionID)
|
||||
|
||||
expect(requests[0]?.http?.headers?.["x-parent-session-id"]).toBe(parentID)
|
||||
}),
|
||||
)
|
||||
|
||||
it.effect("bounds 64-character session prompt cache keys", () =>
|
||||
Effect.gen(function* () {
|
||||
yield* setup
|
||||
|
||||
@@ -64,7 +64,7 @@
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.104",
|
||||
"@ai-sdk/google": "3.0.73",
|
||||
"@ai-sdk/google-vertex": "4.0.181",
|
||||
"@ai-sdk/google-vertex": "4.0.128",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.51",
|
||||
"@ai-sdk/openai": "3.0.84",
|
||||
@@ -111,7 +111,7 @@
|
||||
"@types/ws": "8.18.1",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "3.2.0",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"chokidar": "4.0.3",
|
||||
"cross-spawn": "catalog:",
|
||||
|
||||
@@ -216,21 +216,6 @@ const layer = Layer.effect(
|
||||
mode: "subagent",
|
||||
native: true,
|
||||
},
|
||||
compaction: {
|
||||
name: "compaction",
|
||||
mode: "primary",
|
||||
native: true,
|
||||
hidden: true,
|
||||
prompt: PROMPT_COMPACTION,
|
||||
permission: Permission.merge(
|
||||
defaults,
|
||||
Permission.fromConfig({
|
||||
"*": "deny",
|
||||
}),
|
||||
user,
|
||||
),
|
||||
options: {},
|
||||
},
|
||||
title: {
|
||||
name: "title",
|
||||
mode: "primary",
|
||||
@@ -270,6 +255,26 @@ const layer = Layer.effect(
|
||||
continue
|
||||
}
|
||||
let item = agents[key]
|
||||
// The compaction agent is not registered by default: compaction inherits
|
||||
// the session's active agent so its request stays prefix-identical for
|
||||
// prompt caching. An explicit `agent.compaction` config opts into the
|
||||
// legacy dedicated agent, seeded here so overrides merge as before.
|
||||
if (!item && key === "compaction")
|
||||
item = agents[key] = {
|
||||
name: "compaction",
|
||||
mode: "primary",
|
||||
native: true,
|
||||
hidden: true,
|
||||
prompt: PROMPT_COMPACTION,
|
||||
permission: Permission.merge(
|
||||
defaults,
|
||||
Permission.fromConfig({
|
||||
"*": "deny",
|
||||
}),
|
||||
user,
|
||||
),
|
||||
options: {},
|
||||
}
|
||||
if (!item)
|
||||
item = agents[key] = {
|
||||
name: key,
|
||||
|
||||
@@ -15,7 +15,7 @@ const dim = (value: string) => UI.Style.TEXT_DIM + value + UI.Style.TEXT_NORMAL
|
||||
|
||||
const activeSuffix = (isActive: boolean) => (isActive ? dim(" (active)") : "")
|
||||
|
||||
export const defaultConsoleUrl = "https://opencode.ai/console"
|
||||
export const defaultConsoleUrl = "https://console.opencode.ai"
|
||||
|
||||
export const formatAccountLabel = (account: { email: string; url: string }, isActive: boolean) =>
|
||||
`${account.email} ${dim(account.url)}${activeSuffix(isActive)}`
|
||||
|
||||
@@ -714,7 +714,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const list = Effect.fn("Workspace.list")(function* (project: Project.Info) {
|
||||
if (!flags.experimentalWorkspaces) return []
|
||||
return (yield* db
|
||||
.select()
|
||||
.from(WorkspaceTable)
|
||||
@@ -852,7 +851,6 @@ const layer = Layer.effect(
|
||||
})
|
||||
|
||||
const startWorkspaceSyncing = Effect.fn("Workspace.startWorkspaceSyncing")(function* (projectID: ProjectV2.ID) {
|
||||
if (!flags.experimentalWorkspaces) return
|
||||
const rows = yield* db
|
||||
.selectDistinct({ workspace: WorkspaceTable })
|
||||
.from(WorkspaceTable)
|
||||
|
||||
@@ -61,5 +61,16 @@ export async function CloudflareAIGatewayAuthPlugin(_input: PluginInput): Promis
|
||||
},
|
||||
],
|
||||
},
|
||||
"chat.params": async (input, output) => {
|
||||
if (input.model.providerID !== "cloudflare-ai-gateway") return
|
||||
// The unified gateway routes through @ai-sdk/openai-compatible, which
|
||||
// always emits max_tokens. OpenAI reasoning models (gpt-5.x, o-series)
|
||||
// reject that field and require max_completion_tokens instead, and the
|
||||
// compatible SDK has no way to rename it. Drop the cap so OpenAI falls
|
||||
// back to the model's default output budget.
|
||||
if (!input.model.api.id.toLowerCase().startsWith("openai/")) return
|
||||
if (!input.model.capabilities.reasoning) return
|
||||
output.maxOutputTokens = undefined
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -37,12 +37,10 @@ function base64UrlEncode(buffer: ArrayBuffer): string {
|
||||
|
||||
export interface IdTokenClaims {
|
||||
chatgpt_account_id?: string
|
||||
chatgpt_compute_residency?: string
|
||||
organizations?: Array<{ id: string }>
|
||||
email?: string
|
||||
"https://api.openai.com/auth"?: {
|
||||
chatgpt_account_id?: string
|
||||
chatgpt_compute_residency?: string
|
||||
}
|
||||
}
|
||||
|
||||
@@ -77,14 +75,6 @@ export function extractAccountId(tokens: TokenResponse): string | undefined {
|
||||
return undefined
|
||||
}
|
||||
|
||||
export function extractResidency(token: string): string | undefined {
|
||||
const claims = parseJwtClaims(token)
|
||||
const residency =
|
||||
claims?.["https://api.openai.com/auth"]?.chatgpt_compute_residency ?? claims?.chatgpt_compute_residency
|
||||
if (!residency || residency === "no_constraint") return undefined
|
||||
return residency
|
||||
}
|
||||
|
||||
function buildAuthorizeUrl(redirectUri: string, pkce: PkceCodes, state: string): string {
|
||||
const params = new URLSearchParams({
|
||||
response_type: "code",
|
||||
@@ -309,11 +299,16 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
|
||||
output: 0,
|
||||
cache: { read: 0, write: 0 },
|
||||
},
|
||||
limit:
|
||||
model.id.includes("gpt-5.5") || model.id.includes("gpt-5.6")
|
||||
limit: model.id.includes("gpt-5.5")
|
||||
? {
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.id.includes("gpt-5.6")
|
||||
? {
|
||||
context: 400_000,
|
||||
input: 272_000,
|
||||
context: 500_000,
|
||||
input: 372_000,
|
||||
output: 128_000,
|
||||
}
|
||||
: model.limit,
|
||||
@@ -416,12 +411,10 @@ export async function CodexAuthPlugin(input: PluginInput, options: CodexAuthPlug
|
||||
requestInput instanceof URL
|
||||
? requestInput
|
||||
: new URL(typeof requestInput === "string" ? requestInput : requestInput.url)
|
||||
const rewrite = parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
|
||||
const url = rewrite ? new URL(codexApiEndpoint) : parsed
|
||||
if (rewrite) {
|
||||
const residency = extractResidency(currentAuth.access)
|
||||
if (residency) headers.set("x-openai-internal-codex-residency", residency)
|
||||
}
|
||||
const url =
|
||||
parsed.pathname.includes("/v1/responses") || parsed.pathname.includes("/chat/completions")
|
||||
? new URL(codexApiEndpoint)
|
||||
: parsed
|
||||
|
||||
const requestInit = {
|
||||
...init,
|
||||
|
||||
@@ -110,11 +110,10 @@ export function createWebSocketFetch(options?: CreateWebSocketFetchOptions) {
|
||||
invalidate(entry)
|
||||
}
|
||||
},
|
||||
onConnectionInvalid: (_error, closeCode) => {
|
||||
onConnectionInvalid: (error) => {
|
||||
entry.busy = false
|
||||
entry.lastUsedAt = Date.now()
|
||||
if (closeCode === OpenAIWebSocket.MESSAGE_TOO_BIG_CLOSE_CODE) entry.fallback = true
|
||||
else if (!entry.fallback) recordStreamFailure(entry)
|
||||
if (!entry.fallback) recordStreamFailure(entry)
|
||||
invalidate(entry)
|
||||
resolveFirstEvent(false)
|
||||
},
|
||||
|
||||
@@ -9,7 +9,6 @@ import { ProxyEnv } from "@/util/proxy-env"
|
||||
import { isRecord } from "@/util/record"
|
||||
|
||||
export const PROTOCOL_HEADER = "responses_websockets=2026-02-06"
|
||||
export const MESSAGE_TOO_BIG_CLOSE_CODE = 1009
|
||||
|
||||
export interface ConnectResponsesWebSocketOptions {
|
||||
url: string
|
||||
@@ -27,7 +26,7 @@ export interface StreamResponsesWebSocketOptions {
|
||||
onComplete?: (event: Record<string, unknown>) => void
|
||||
onTerminal?: (event: Record<string, unknown>) => void
|
||||
onRetryableTerminal?: (event: Record<string, unknown>) => Promise<WebSocket | undefined>
|
||||
onConnectionInvalid?: (error: ProviderError.ResponseStreamError, closeCode?: number) => void
|
||||
onConnectionInvalid?: (error: ProviderError.ResponseStreamError) => void
|
||||
onAbort?: (error: Error) => void
|
||||
}
|
||||
|
||||
@@ -163,11 +162,11 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
|
||||
controller?.close()
|
||||
}
|
||||
|
||||
function invalidate(error: ProviderError.ResponseStreamError, closeCode?: number) {
|
||||
function invalidate(error: ProviderError.ResponseStreamError) {
|
||||
if (completed) return
|
||||
completed = true
|
||||
cleanup()
|
||||
options.onConnectionInvalid?.(error, closeCode)
|
||||
options.onConnectionInvalid?.(error)
|
||||
controller?.error(error)
|
||||
}
|
||||
|
||||
@@ -275,7 +274,6 @@ export function streamResponsesWebSocket(options: StreamResponsesWebSocketOption
|
||||
if (completed) return
|
||||
invalidate(
|
||||
new ProviderError.ResponseStreamError(closeMessage("WebSocket closed before response.completed", code, reason)),
|
||||
code,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -375,7 +373,7 @@ function abortError(signal: AbortSignal | undefined) {
|
||||
|
||||
function closeMessage(message: string, code: number, reason: Buffer) {
|
||||
const details = [`code ${code}`]
|
||||
if (code === MESSAGE_TOO_BIG_CLOSE_CODE) details.push("message too big")
|
||||
if (code === 1009) details.push("message too big")
|
||||
if (reason.length > 0) details.push(reason.toString())
|
||||
return `${message} (${details.join(": ")})`
|
||||
}
|
||||
|
||||
@@ -800,10 +800,9 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
)
|
||||
}
|
||||
|
||||
// Use official ai-gateway-provider package (v2.x for AI SDK v5 compatibility)
|
||||
const { createAiGateway } = yield* Effect.promise(() => import("ai-gateway-provider"))
|
||||
const { createUnified } = yield* Effect.promise(() => import("ai-gateway-provider/providers/unified"))
|
||||
const { createOpenAI } = yield* Effect.promise(() => import("ai-gateway-provider/providers/openai"))
|
||||
const { createAnthropic } = yield* Effect.promise(() => import("ai-gateway-provider/providers/anthropic"))
|
||||
|
||||
const metadata = iife(() => {
|
||||
if (input.options?.metadata) return input.options.metadata
|
||||
@@ -830,23 +829,12 @@ function custom(dep: CustomDep): Record<string, CustomLoader> {
|
||||
apiKey: apiToken,
|
||||
...(Object.values(opts).some((v) => v !== undefined) ? { options: opts } : {}),
|
||||
})
|
||||
const unified = createUnified({ apiKey: apiToken })
|
||||
|
||||
return {
|
||||
autoload: true,
|
||||
async getModel(_sdk: any, modelID: string, _options?: Record<string, any>) {
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5").
|
||||
// OpenAI and Anthropic ride their native passthrough routes so agents get the Responses
|
||||
// and Messages APIs; new OpenAI models reject tools+reasoning_effort on chat completions.
|
||||
// The passthrough wrappers inject a CF_TEMP_TOKEN sentinel that the gateway strips before
|
||||
// dispatch, so upstream billing stays on the gateway (Unified Billing / stored BYOK).
|
||||
if (modelID.startsWith("openai/")) return aigateway(createOpenAI()(modelID.slice("openai/".length)))
|
||||
if (modelID.startsWith("anthropic/")) return aigateway(createAnthropic()(modelID.slice("anthropic/".length)))
|
||||
// Workers AI is the only first-party provider whose upstream is Cloudflare itself, so it is
|
||||
// the only one that should receive the Cloudflare token as its upstream Authorization header.
|
||||
// The Unified API addresses Workers AI both with the explicit "workers-ai/" prefix and as
|
||||
// bare "@cf/..." ids. Third-party providers must not receive the token; they rely on the
|
||||
// gateway's stored/BYOK keys instead.
|
||||
const isWorkersAi = modelID.startsWith("workers-ai/") || modelID.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: apiToken } : {})
|
||||
// Model IDs use Unified API format: provider/model (e.g., "anthropic/claude-sonnet-4-5")
|
||||
return aigateway(unified(modelID))
|
||||
},
|
||||
options: {},
|
||||
@@ -1221,17 +1209,6 @@ function cost(c: ModelsDev.Model["cost"]): Model["cost"] {
|
||||
return result
|
||||
}
|
||||
|
||||
// Cloudflare AI Gateway routes OpenAI and Anthropic models through their native
|
||||
// passthrough SDKs (Responses / Messages APIs). Resolving the native npm before
|
||||
// variants are computed makes reasoning variants produce payloads the native
|
||||
// SDKs understand (e.g. anthropic `effort` instead of compat `reasoningEffort`).
|
||||
function cloudflareGatewayNpm(providerID: string, modelID: string) {
|
||||
if (providerID !== "cloudflare-ai-gateway") return undefined
|
||||
if (modelID.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (modelID.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return undefined
|
||||
}
|
||||
|
||||
function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model): Model {
|
||||
const base: Model = {
|
||||
id: ModelV2.ID.make(model.id),
|
||||
@@ -1241,11 +1218,7 @@ function fromModelsDevModel(provider: ModelsDev.Provider, model: ModelsDev.Model
|
||||
api: {
|
||||
id: model.id,
|
||||
url: model.provider?.api ?? provider.api ?? "",
|
||||
npm:
|
||||
cloudflareGatewayNpm(provider.id, model.id) ??
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
"@ai-sdk/openai-compatible",
|
||||
npm: model.provider?.npm ?? provider.npm ?? "@ai-sdk/openai-compatible",
|
||||
},
|
||||
status: model.status ?? "active",
|
||||
headers: {},
|
||||
@@ -1467,9 +1440,6 @@ const layer = Layer.effect(
|
||||
model.provider?.npm ??
|
||||
provider.npm ??
|
||||
existingModel?.api.npm ??
|
||||
// Config-defined gateway models bypass fromModelsDevModel, so resolve the
|
||||
// native passthrough npm here before falling back to the catalog default.
|
||||
cloudflareGatewayNpm(providerID, apiID) ??
|
||||
modelsDev[providerID]?.npm ??
|
||||
"@ai-sdk/openai-compatible"
|
||||
const name = iife(() => {
|
||||
@@ -1649,7 +1619,6 @@ const layer = Layer.effect(
|
||||
|
||||
for (const [modelID, model] of Object.entries(provider.models)) {
|
||||
model.api.id = model.api.id ?? model.id ?? modelID
|
||||
|
||||
if (
|
||||
// These chat aliases are invalid for the special handling in the
|
||||
// built-in providers below, but custom providers may support them.
|
||||
|
||||
@@ -528,6 +528,7 @@ const GEMINI_MODELS_WITH_SAMPLING_DEFAULTS = [
|
||||
export function temperature(model: Provider.Model) {
|
||||
const id = model.api.id.toLowerCase()
|
||||
if (id.includes("north-mini-code")) return 1.0
|
||||
if (id.includes("qwen")) return 0.55
|
||||
if (id.includes("claude")) return undefined
|
||||
if (id.includes("gemini"))
|
||||
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 1.0 : undefined
|
||||
@@ -546,6 +547,7 @@ export function temperature(model: Provider.Model) {
|
||||
|
||||
export function topP(model: Provider.Model) {
|
||||
const id = model.api.id.toLowerCase()
|
||||
if (id.includes("qwen")) return 1
|
||||
if (id.includes("gemini"))
|
||||
return GEMINI_MODELS_WITH_SAMPLING_DEFAULTS.some((model) => model.test(id)) ? 0.95 : undefined
|
||||
if (["minimax-m2", "kimi-k2.5", "kimi-k2p5", "kimi-k2-5"].some((s) => id.includes(s))) {
|
||||
|
||||
@@ -2,7 +2,6 @@ import { ProviderAuth } from "@/provider/auth"
|
||||
import { Config } from "@/config/config"
|
||||
import { ModelsDev } from "@opencode-ai/core/models-dev"
|
||||
import { Provider } from "@/provider/provider"
|
||||
import { Auth } from "@/auth"
|
||||
|
||||
import { mapValues } from "remeda"
|
||||
import { Effect, Schema } from "effect"
|
||||
@@ -37,7 +36,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
const cfg = yield* Config.Service
|
||||
const provider = yield* Provider.Service
|
||||
const svc = yield* ProviderAuth.Service
|
||||
const authStore = yield* Auth.Service
|
||||
|
||||
const list = Effect.fn("ProviderHttpApi.list")(function* () {
|
||||
const config = yield* cfg.get()
|
||||
@@ -49,7 +47,6 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
if ((enabled ? enabled.has(key) : true) && !disabled.has(key)) filtered[key] = value
|
||||
}
|
||||
const connected = yield* provider.list()
|
||||
const credentials = yield* authStore.all().pipe(Effect.orDie)
|
||||
const providers = Object.assign(
|
||||
mapValues(filtered, (item) => Provider.fromModelsDevProvider(item)),
|
||||
connected,
|
||||
@@ -57,7 +54,7 @@ export const providerHandlers = HttpApiBuilder.group(InstanceHttpApi, "provider"
|
||||
return {
|
||||
all: Object.values(providers).map(Provider.toPublicInfo),
|
||||
default: Provider.defaultModelIDs(providers),
|
||||
connected: Object.keys(providers).filter((id) => id in connected || credentials[id]),
|
||||
connected: Object.keys(connected),
|
||||
}
|
||||
})
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ import { RuntimeFlags } from "@/effect/runtime-flags"
|
||||
import { EventV2Bridge } from "@/event-v2-bridge"
|
||||
import { ProviderV2 } from "@opencode-ai/core/provider"
|
||||
import { ModelV2 } from "@opencode-ai/core/model"
|
||||
import { buildPrompt } from "@opencode-ai/core/session/compaction"
|
||||
import { buildPrompt, buildReplayPrompt } from "@opencode-ai/core/session/compaction"
|
||||
import { SessionCompactionEvent } from "@opencode-ai/schema/session-compaction-event"
|
||||
|
||||
export const Event = SessionCompactionEvent
|
||||
@@ -162,6 +162,15 @@ function splitTurn(input: {
|
||||
})
|
||||
}
|
||||
|
||||
export type Run = (input: {
|
||||
user: SessionV1.User
|
||||
agent: Agent.Info
|
||||
model: Provider.Model
|
||||
processor: SessionProcessor.Handle
|
||||
messages: SessionV1.WithParts[]
|
||||
prompt: string
|
||||
}) => Effect.Effect<SessionProcessor.Result>
|
||||
|
||||
export interface Interface {
|
||||
readonly isOverflow: (input: {
|
||||
tokens: SessionV1.Assistant["tokens"]
|
||||
@@ -174,6 +183,7 @@ export interface Interface {
|
||||
sessionID: SessionID
|
||||
auto: boolean
|
||||
overflow?: boolean
|
||||
run?: Run
|
||||
}) => Effect.Effect<"continue" | "stop">
|
||||
readonly create: (input: {
|
||||
sessionID: SessionID
|
||||
@@ -322,6 +332,7 @@ const layer = Layer.effect(
|
||||
sessionID: SessionID
|
||||
auto: boolean
|
||||
overflow?: boolean
|
||||
run?: Run
|
||||
}) {
|
||||
const parent = input.messages.findLast((m) => m.info.id === input.parentID)
|
||||
if (!parent || parent.info.role !== "user") {
|
||||
@@ -355,11 +366,13 @@ const layer = Layer.effect(
|
||||
}
|
||||
}
|
||||
|
||||
const agent = yield* agents.get("compaction")
|
||||
const model = agent.model
|
||||
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
|
||||
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
|
||||
const cfg = yield* config.get()
|
||||
const configured = cfg.agent?.compaction !== undefined
|
||||
const agent = yield* agents.get(configured ? "compaction" : userMessage.agent)
|
||||
const model =
|
||||
configured && agent.model
|
||||
? yield* provider.getModel(agent.model.providerID, agent.model.modelID).pipe(Effect.orDie)
|
||||
: yield* provider.getModel(userMessage.model.providerID, userMessage.model.modelID).pipe(Effect.orDie)
|
||||
const history = compactionPart && messages.at(-1)?.info.id === input.parentID ? messages.slice(0, -1) : messages
|
||||
const prior = completedCompactions(history)
|
||||
const hidden = new Set(prior.flatMap((item) => [item.userIndex, item.assistantIndex]))
|
||||
@@ -377,18 +390,16 @@ const layer = Layer.effect(
|
||||
)
|
||||
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 =
|
||||
// A configured compaction agent keeps the legacy serialized-transcript path.
|
||||
const run = configured ? undefined : input.run
|
||||
const conversation = run ? "" : msgs.map(serialize).filter(Boolean).join("\n\n")
|
||||
const nextPrompt = [
|
||||
compacting.prompt ??
|
||||
[
|
||||
buildPrompt({
|
||||
previousSummary,
|
||||
context: [conversation],
|
||||
}),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
(run ? buildReplayPrompt(previousSummary) : buildPrompt({ previousSummary, context: [conversation] })),
|
||||
...compacting.context,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n")
|
||||
const ctx = yield* InstanceState.context
|
||||
const msg: SessionV1.Assistant = {
|
||||
id: MessageID.ascending(),
|
||||
@@ -422,30 +433,43 @@ const layer = Layer.effect(
|
||||
sessionID: input.sessionID,
|
||||
model,
|
||||
})
|
||||
const result = yield* processor.process({
|
||||
user: userMessage,
|
||||
agent,
|
||||
sessionID: input.sessionID,
|
||||
tools: {},
|
||||
system: [],
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
// The synthetic compaction marker carries no per-turn system/tools settings.
|
||||
const active = msgs.findLast(
|
||||
(message) => message.info.role === "user" && !message.parts.some((part) => part.type === "compaction"),
|
||||
)
|
||||
const result = run
|
||||
? yield* run({
|
||||
user: active?.info.role === "user" ? active.info : userMessage,
|
||||
agent,
|
||||
model,
|
||||
processor,
|
||||
messages: msgs,
|
||||
prompt: nextPrompt,
|
||||
})
|
||||
: yield* processor.process({
|
||||
user: userMessage,
|
||||
agent,
|
||||
sessionID: input.sessionID,
|
||||
tools: {},
|
||||
system: [],
|
||||
messages: [
|
||||
{
|
||||
type: "text",
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
role: "user",
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: [
|
||||
nextPrompt,
|
||||
...(compacting.prompt ? ["The following is the conversation history:", conversation] : []),
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join("\n\n"),
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
model,
|
||||
})
|
||||
model,
|
||||
})
|
||||
|
||||
if (result === "compact") {
|
||||
processor.message.error = new SessionV1.ContextOverflowError({
|
||||
|
||||
@@ -149,6 +149,45 @@ const layer = Layer.effect(
|
||||
} satisfies TaskPromptOps
|
||||
})
|
||||
|
||||
// One assembly path keeps compaction requests prefix-identical to normal turns for prompt caching.
|
||||
const prepare = Effect.fn("SessionPrompt.prepare")(function* (input: {
|
||||
session: Session.Info
|
||||
agent: Agent.Info
|
||||
model: Provider.Model
|
||||
processor: SessionProcessor.Handle
|
||||
messages: SessionV1.WithParts[]
|
||||
}) {
|
||||
const lastUserMsg = input.messages.findLast((message) => message.info.role === "user")
|
||||
const tools = yield* SessionTools.resolve({
|
||||
agent: input.agent,
|
||||
session: input.session,
|
||||
model: input.model,
|
||||
processor: input.processor,
|
||||
bypassAgentCheck: lastUserMsg?.parts.some((part) => part.type === "agent") ?? false,
|
||||
messages: input.messages,
|
||||
promptOps: yield* ops(),
|
||||
}).pipe(
|
||||
Effect.provideService(Plugin.Service, plugin),
|
||||
Effect.provideService(Permission.Service, permission),
|
||||
Effect.provideService(ToolRegistry.Service, registry),
|
||||
Effect.provideService(MCP.Service, mcp),
|
||||
Effect.provideService(Truncate.Service, truncate),
|
||||
Effect.provideService(RuntimeFlags.Service, flags),
|
||||
)
|
||||
const [skills, env, instructions, mcpInstructions, modelMessages] = yield* Effect.all([
|
||||
sys.skills(input.agent),
|
||||
sys.environment(input.model),
|
||||
instruction.system().pipe(Effect.orDie),
|
||||
sys.mcp(input.agent, input.session.permission),
|
||||
MessageV2.toModelMessagesEffect(input.messages, input.model),
|
||||
])
|
||||
return {
|
||||
tools,
|
||||
modelMessages,
|
||||
system: [...env, ...instructions, ...(mcpInstructions ? [mcpInstructions] : []), ...(skills ? [skills] : [])],
|
||||
}
|
||||
})
|
||||
|
||||
const cancel = Effect.fn("SessionPrompt.cancel")(function* (sessionID: SessionID) {
|
||||
yield* Effect.logInfo("cancel", { "session.id": sessionID })
|
||||
yield* state.cancel(sessionID)
|
||||
@@ -1153,6 +1192,21 @@ const layer = Layer.effect(
|
||||
sessionID,
|
||||
auto: task.auto,
|
||||
overflow: task.overflow,
|
||||
run: ({ user, agent, model, processor, messages, prompt }) =>
|
||||
Effect.gen(function* () {
|
||||
const prepared = yield* prepare({ session, agent, model, processor, messages })
|
||||
return yield* processor.process({
|
||||
user,
|
||||
agent,
|
||||
permission: session.permission,
|
||||
sessionID,
|
||||
parentSessionID: session.parentID,
|
||||
system: prepared.system,
|
||||
messages: [...prepared.modelMessages, { role: "user", content: prompt }],
|
||||
tools: prepared.tools,
|
||||
model,
|
||||
})
|
||||
}),
|
||||
})
|
||||
if (result === "stop") break
|
||||
continue
|
||||
@@ -1219,68 +1273,34 @@ const layer = Layer.effect(
|
||||
.pipe(Effect.onInterrupt(() => finalizeInterruptedAssistant))
|
||||
|
||||
const outcome: "break" | "continue" = yield* Effect.gen(function* () {
|
||||
const lastUserMsg = msgs.findLast((m) => m.info.role === "user")
|
||||
const bypassAgentCheck = lastUserMsg?.parts.some((p) => p.type === "agent") ?? false
|
||||
const promptOps = yield* ops()
|
||||
|
||||
const tools = yield* SessionTools.resolve({
|
||||
agent,
|
||||
session,
|
||||
model,
|
||||
processor: handle,
|
||||
bypassAgentCheck,
|
||||
messages: msgs,
|
||||
promptOps,
|
||||
}).pipe(
|
||||
Effect.provideService(Plugin.Service, plugin),
|
||||
Effect.provideService(Permission.Service, permission),
|
||||
Effect.provideService(ToolRegistry.Service, registry),
|
||||
Effect.provideService(MCP.Service, mcp),
|
||||
Effect.provideService(Truncate.Service, truncate),
|
||||
Effect.provideService(RuntimeFlags.Service, flags),
|
||||
)
|
||||
|
||||
if (lastUser.format?.type === "json_schema") {
|
||||
tools["StructuredOutput"] = createStructuredOutputTool({
|
||||
schema: lastUser.format.schema,
|
||||
onSuccess(output) {
|
||||
structured = output
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
if (step === 1)
|
||||
yield* summary.summarize({ sessionID, messageID: lastUser.id }).pipe(Effect.ignore, Effect.forkIn(scope))
|
||||
|
||||
yield* plugin.trigger("experimental.chat.messages.transform", {}, { messages: msgs })
|
||||
|
||||
const [skills, env, instructions, mcpInstructions, modelMsgs] = yield* Effect.all([
|
||||
sys.skills(agent),
|
||||
sys.environment(model),
|
||||
instruction.system().pipe(Effect.orDie),
|
||||
sys.mcp(agent, session.permission),
|
||||
MessageV2.toModelMessagesEffect(msgs, model),
|
||||
])
|
||||
const system = [
|
||||
...env,
|
||||
...instructions,
|
||||
...(mcpInstructions ? [mcpInstructions] : []),
|
||||
...(skills ? [skills] : []),
|
||||
]
|
||||
const prepared = yield* prepare({ session, agent, model, processor: handle, messages: msgs })
|
||||
const format = lastUser.format ?? { type: "text" as const }
|
||||
if (format.type === "json_schema") system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
|
||||
if (format.type === "json_schema") {
|
||||
prepared.system.push(STRUCTURED_OUTPUT_SYSTEM_PROMPT)
|
||||
prepared.tools["StructuredOutput"] = createStructuredOutputTool({
|
||||
schema: format.schema,
|
||||
onSuccess(output) {
|
||||
structured = output
|
||||
},
|
||||
})
|
||||
}
|
||||
const result = yield* handle.process({
|
||||
user: lastUser,
|
||||
agent,
|
||||
permission: session.permission,
|
||||
sessionID,
|
||||
parentSessionID: session.parentID,
|
||||
system,
|
||||
system: prepared.system,
|
||||
messages: [
|
||||
...modelMsgs,
|
||||
...prepared.modelMessages,
|
||||
...(isLastStep ? [{ role: "assistant" as const, content: MAX_STEPS_PROMPT }] : []),
|
||||
],
|
||||
tools,
|
||||
tools: prepared.tools,
|
||||
model,
|
||||
toolChoice: format.type === "json_schema" ? "required" : undefined,
|
||||
})
|
||||
@@ -1353,28 +1373,6 @@ const layer = Layer.effect(
|
||||
return yield* state.startShell(input.sessionID, lastAssistant(input.sessionID), shellImpl(input, ready), ready)
|
||||
})
|
||||
|
||||
const chainedSkills = Effect.fnUntraced(function* (cmd: Command.Info, argumentsText: string) {
|
||||
if (cmd.source !== "skill") return { commands: [cmd], arguments: argumentsText }
|
||||
|
||||
const available = new Map(
|
||||
(yield* commands.list()).filter((item) => item.source === "skill").map((item) => [item.name, item]),
|
||||
)
|
||||
const selected = [cmd]
|
||||
const seen = new Set([cmd.name])
|
||||
let matched = false
|
||||
const remaining = argumentsText.replace(/(^|\s)\/([^\s/]+)(?=\s|$)\s?/g, (token, prefix, name) => {
|
||||
const skill = available.get(name)
|
||||
if (!skill) return token
|
||||
matched = true
|
||||
if (!seen.has(name)) {
|
||||
seen.add(name)
|
||||
selected.push(skill)
|
||||
}
|
||||
return prefix
|
||||
})
|
||||
return { commands: selected, arguments: matched ? remaining.trim() : argumentsText }
|
||||
})
|
||||
|
||||
const command = Effect.fn("SessionPrompt.command")(function* (input: CommandInput) {
|
||||
yield* Effect.logInfo("command", {
|
||||
"session.id": input.sessionID,
|
||||
@@ -1391,12 +1389,9 @@ const layer = Layer.effect(
|
||||
}
|
||||
const agentName = cmd.agent ?? input.agent
|
||||
|
||||
const chained = yield* chainedSkills(cmd, input.arguments)
|
||||
const raw = chained.arguments.match(argsRegex) ?? []
|
||||
const raw = input.arguments.match(argsRegex) ?? []
|
||||
const args = raw.map((arg) => arg.replace(quoteTrimRegex, ""))
|
||||
const templateCommand = yield* Effect.promise(async () =>
|
||||
(await Promise.all(chained.commands.map(async (item) => item.template))).join("\n\n"),
|
||||
)
|
||||
const templateCommand = yield* Effect.promise(async () => cmd.template)
|
||||
|
||||
const placeholders = templateCommand.match(placeholderRegex) ?? []
|
||||
let last = 0
|
||||
@@ -1413,10 +1408,10 @@ const layer = Layer.effect(
|
||||
return args[argIndex]
|
||||
})
|
||||
const usesArgumentsPlaceholder = templateCommand.includes("$ARGUMENTS")
|
||||
let template = withArgs.replaceAll("$ARGUMENTS", chained.arguments)
|
||||
let template = withArgs.replaceAll("$ARGUMENTS", input.arguments)
|
||||
|
||||
if (placeholders.length === 0 && !usesArgumentsPlaceholder && chained.arguments.trim()) {
|
||||
template = template + "\n\n" + chained.arguments
|
||||
if (placeholders.length === 0 && !usesArgumentsPlaceholder && input.arguments.trim()) {
|
||||
template = template + "\n\n" + input.arguments
|
||||
}
|
||||
|
||||
const shellMatches = ConfigMarkdown.shell(template)
|
||||
|
||||
@@ -336,8 +336,10 @@ export function plan(input: { slug: string; time: { created: number } }, instanc
|
||||
}
|
||||
|
||||
export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?: ProviderMetadata }) => {
|
||||
const finite = (value: number) => (Number.isFinite(value) ? value : 0)
|
||||
const safe = (value: number) => Math.max(0, finite(value))
|
||||
const safe = (value: number) => {
|
||||
if (!Number.isFinite(value)) return 0
|
||||
return Math.max(0, value)
|
||||
}
|
||||
const inputTokens = safe(input.usage.inputTokens ?? 0)
|
||||
const outputTokens = safe(input.usage.outputTokens ?? 0)
|
||||
const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
|
||||
@@ -391,13 +393,13 @@ export const getUsage = (input: { model: Provider.Model; usage: Usage; metadata?
|
||||
? new Decimal(totalNanoAiu).div(100_000_000_000).toNumber()
|
||||
: safe(
|
||||
new Decimal(0)
|
||||
.add(new Decimal(tokens.input).mul(finite(costInfo?.input ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.output).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.read).mul(finite(costInfo?.cache?.read ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.write).mul(finite(costInfo?.cache?.write ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.input).mul(costInfo?.input ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.output).mul(costInfo?.output ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.read).mul(costInfo?.cache?.read ?? 0).div(1_000_000))
|
||||
.add(new Decimal(tokens.cache.write).mul(costInfo?.cache?.write ?? 0).div(1_000_000))
|
||||
// TODO: update models.dev to have better pricing model, for now:
|
||||
// charge reasoning tokens at the same rate as output tokens
|
||||
.add(new Decimal(tokens.reasoning).mul(finite(costInfo?.output ?? 0)).div(1_000_000))
|
||||
.add(new Decimal(tokens.reasoning).mul(costInfo?.output ?? 0).div(1_000_000))
|
||||
.toNumber(),
|
||||
),
|
||||
tokens,
|
||||
|
||||
@@ -56,12 +56,7 @@ import { PermissionV1 } from "@opencode-ai/core/v1/permission"
|
||||
import { McpCatalog } from "@/mcp/catalog"
|
||||
|
||||
export function webSearchEnabled(providerID: ProviderV2.ID, flags = { exa: false, parallel: false }) {
|
||||
return (
|
||||
providerID === ProviderV2.ID.opencode ||
|
||||
providerID === ProviderV2.ID.make("opencode-go") ||
|
||||
flags.exa ||
|
||||
flags.parallel
|
||||
)
|
||||
return providerID === ProviderV2.ID.opencode || flags.exa || flags.parallel
|
||||
}
|
||||
|
||||
type TaskDef = Tool.InferDef<typeof TaskTool>
|
||||
|
||||
@@ -52,7 +52,7 @@ it.instance("returns default native agents when no config", () =>
|
||||
expect(names).toContain("plan")
|
||||
expect(names).toContain("general")
|
||||
expect(names).toContain("explore")
|
||||
expect(names).toContain("compaction")
|
||||
expect(names).not.toContain("compaction")
|
||||
expect(names).toContain("title")
|
||||
expect(names).toContain("summary")
|
||||
}),
|
||||
@@ -170,17 +170,34 @@ it.instance("general agent denies todo tools", () =>
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance("compaction agent denies all permissions", () =>
|
||||
it.instance("compaction agent is absent without configuration", () =>
|
||||
Effect.gen(function* () {
|
||||
const compaction = yield* load((svc) => svc.get("compaction"))
|
||||
expect(compaction).toBeDefined()
|
||||
expect(compaction?.hidden).toBe(true)
|
||||
expect(evalPerm(compaction, "bash")).toBe("deny")
|
||||
expect(evalPerm(compaction, "edit")).toBe("deny")
|
||||
expect(evalPerm(compaction, "read")).toBe("deny")
|
||||
expect(compaction).toBeUndefined()
|
||||
}),
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"configured compaction agent keeps native defaults",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const compaction = yield* load((svc) => svc.get("compaction"))
|
||||
expect(compaction).toBeDefined()
|
||||
expect(compaction?.native).toBe(true)
|
||||
expect(compaction?.hidden).toBe(true)
|
||||
expect(evalPerm(compaction, "bash")).toBe("deny")
|
||||
expect(evalPerm(compaction, "edit")).toBe("deny")
|
||||
expect(evalPerm(compaction, "read")).toBe("deny")
|
||||
}),
|
||||
{
|
||||
config: {
|
||||
agent: {
|
||||
compaction: {},
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"custom agent from config creates new agent",
|
||||
() =>
|
||||
@@ -710,6 +727,9 @@ it.instance(
|
||||
{
|
||||
config: {
|
||||
default_agent: "compaction",
|
||||
agent: {
|
||||
compaction: {},
|
||||
},
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
@@ -4,8 +4,8 @@ import stripAnsi from "strip-ansi"
|
||||
import { defaultConsoleUrl, formatAccountLabel, formatOrgLine } from "../../src/cli/cmd/account"
|
||||
|
||||
describe("console account display", () => {
|
||||
test("uses opencode.ai/console as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://opencode.ai/console")
|
||||
test("uses console.opencode.ai as the default login URL", () => {
|
||||
expect(defaultConsoleUrl).toBe("https://console.opencode.ai")
|
||||
})
|
||||
|
||||
test("includes the account url in account labels", () => {
|
||||
|
||||
@@ -8,7 +8,6 @@ import { Effect, Exit, Fiber, Layer, Schema } from "effect"
|
||||
import { HttpServer, HttpServerRequest, HttpServerResponse } from "effect/unstable/http"
|
||||
import { eq } from "drizzle-orm"
|
||||
import { GlobalBus, type GlobalEvent } from "@/bus/global"
|
||||
import { Project } from "@/project/project"
|
||||
import { Database } from "@opencode-ai/core/database/database"
|
||||
import { ProjectV2 } from "@opencode-ai/core/project"
|
||||
import { ProjectTable } from "@opencode-ai/core/project/sql"
|
||||
@@ -134,9 +133,6 @@ const startWorkspaceSyncingWithFlag = (projectID: ProjectV2.ID, experimentalWork
|
||||
Workspace.use.startWorkspaceSyncing(projectID).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))),
|
||||
)
|
||||
|
||||
const listWithFlag = (project: Project.Info, experimentalWorkspaces: boolean) =>
|
||||
Effect.runPromise(Workspace.use.list(project).pipe(Effect.provide(workspaceLayer(experimentalWorkspaces))))
|
||||
|
||||
function captureGlobalEvents() {
|
||||
const events: GlobalEvent[] = []
|
||||
const handler = (event: GlobalEvent) => events.push(event)
|
||||
@@ -421,18 +417,6 @@ describe("workspace CRUD", () => {
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"list is disabled by the experimental workspace flag",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const instance = yield* requireInstance
|
||||
yield* insertWorkspace(workspaceInfo(instance.project.id, "manual"))
|
||||
|
||||
expect(yield* Effect.promise(() => listWithFlag(instance.project, false))).toEqual([])
|
||||
}),
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"create configures, persists, creates, starts local sync, and passes environment",
|
||||
() =>
|
||||
|
||||
@@ -13,13 +13,56 @@ const pluginInput = {
|
||||
$: {} as never,
|
||||
}
|
||||
|
||||
test("registers the cloudflare-ai-gateway auth method", async () => {
|
||||
function makeHookInput(overrides: { providerID?: string; apiId?: string; reasoning?: boolean }) {
|
||||
return {
|
||||
sessionID: "s",
|
||||
agent: "a",
|
||||
provider: {} as never,
|
||||
message: {} as never,
|
||||
model: {
|
||||
providerID: overrides.providerID ?? "cloudflare-ai-gateway",
|
||||
api: { id: overrides.apiId ?? "openai/gpt-5.2-codex", url: "", npm: "ai-gateway-provider" },
|
||||
capabilities: {
|
||||
reasoning: overrides.reasoning ?? true,
|
||||
temperature: false,
|
||||
attachment: true,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
interleaved: false,
|
||||
},
|
||||
} as never,
|
||||
}
|
||||
}
|
||||
|
||||
function makeHookOutput() {
|
||||
return { temperature: 0, topP: 1, topK: 0, maxOutputTokens: 32_000 as number | undefined, options: {} }
|
||||
}
|
||||
|
||||
test("omits maxOutputTokens for openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
expect(hooks.auth?.provider).toBe("cloudflare-ai-gateway")
|
||||
expect(hooks.auth?.methods).toHaveLength(1)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBeUndefined()
|
||||
})
|
||||
|
||||
test("no longer drops maxOutputTokens; OpenAI models ride the Responses API passthrough", async () => {
|
||||
test("keeps maxOutputTokens for openai non-reasoning models", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
expect(hooks["chat.params"]).toBeUndefined()
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "openai/gpt-4-turbo", reasoning: false }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("keeps maxOutputTokens for non-openai reasoning models on cloudflare-ai-gateway", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ apiId: "anthropic/claude-sonnet-4-5", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
test("ignores non-cloudflare-ai-gateway providers", async () => {
|
||||
const hooks = await CloudflareAIGatewayAuthPlugin(pluginInput)
|
||||
const out = makeHookOutput()
|
||||
await hooks["chat.params"]!(makeHookInput({ providerID: "openai", apiId: "gpt-5.2-codex", reasoning: true }), out)
|
||||
expect(out.maxOutputTokens).toBe(32_000)
|
||||
})
|
||||
|
||||
@@ -1,13 +1,9 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { createServer, type IncomingMessage } from "node:http"
|
||||
import { type AddressInfo } from "node:net"
|
||||
import { WebSocketServer } from "ws"
|
||||
import {
|
||||
CodexAuthPlugin,
|
||||
parseJwtClaims,
|
||||
extractAccountIdFromClaims,
|
||||
extractAccountId,
|
||||
extractResidency,
|
||||
renderOAuthError,
|
||||
type IdTokenClaims,
|
||||
} from "../../src/plugin/openai/codex"
|
||||
@@ -135,69 +131,6 @@ describe("plugin.codex", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("extractResidency", () => {
|
||||
test("extracts compute residency from the namespaced auth claims", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
),
|
||||
).toBe("eu")
|
||||
})
|
||||
|
||||
test("falls back to a root compute residency claim", () => {
|
||||
expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "us" }))).toBe("us")
|
||||
})
|
||||
|
||||
test("supports compute residency values without maintaining a region list", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "ae" },
|
||||
}),
|
||||
),
|
||||
).toBe("ae")
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "future-region_1" },
|
||||
}),
|
||||
),
|
||||
).toBe("future-region_1")
|
||||
})
|
||||
|
||||
test("ignores unconstrained and data residency values", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_data_residency: "gb" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
expect(extractResidency(createTestJwt({ chatgpt_compute_residency: "" }))).toBeUndefined()
|
||||
expect(extractResidency("not-a-jwt")).toBeUndefined()
|
||||
})
|
||||
|
||||
test("prefers a namespaced unconstrained value over a root residency", () => {
|
||||
expect(
|
||||
extractResidency(
|
||||
createTestJwt({
|
||||
chatgpt_compute_residency: "eu",
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "no_constraint" },
|
||||
}),
|
||||
),
|
||||
).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
test("installs websocket transport only when experimental websockets are enabled", async () => {
|
||||
const disabled = await CodexAuthPlugin({} as never)
|
||||
const enabled = await CodexAuthPlugin({} as never, { experimentalWebSockets: true })
|
||||
@@ -216,73 +149,6 @@ describe("plugin.codex", () => {
|
||||
await enabled.dispose?.()
|
||||
})
|
||||
|
||||
test("sends token residency only to the ChatGPT Codex backend", async () => {
|
||||
const requests: Array<{ path: string; residency: string | null }> = []
|
||||
using server = Bun.serve({
|
||||
port: 0,
|
||||
fetch(request) {
|
||||
requests.push({
|
||||
path: new URL(request.url).pathname,
|
||||
residency: request.headers.get("x-openai-internal-codex-residency"),
|
||||
})
|
||||
return new Response("{}")
|
||||
},
|
||||
})
|
||||
const hooks = await CodexAuthPlugin({} as never, {
|
||||
codexApiEndpoint: new URL("/backend-api/codex/responses", server.url).toString(),
|
||||
})
|
||||
const loaded = await hooks.auth!.loader!(
|
||||
async () =>
|
||||
({
|
||||
type: "oauth",
|
||||
refresh: "refresh",
|
||||
access: createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
expires: Date.now() + 60_000,
|
||||
}) as never,
|
||||
{} as never,
|
||||
)
|
||||
|
||||
await loaded.fetch!("https://api.openai.com/v1/responses")
|
||||
await loaded.fetch!(new URL("/other", server.url))
|
||||
|
||||
expect(requests).toEqual([
|
||||
{ path: "/backend-api/codex/responses", residency: "eu" },
|
||||
{ path: "/other", residency: null },
|
||||
])
|
||||
})
|
||||
|
||||
test("sends token residency through the WebSocket transport", async () => {
|
||||
await using server = await createCodexWebSocketServer()
|
||||
const hooks = await CodexAuthPlugin({} as never, {
|
||||
codexApiEndpoint: server.url,
|
||||
experimentalWebSockets: true,
|
||||
})
|
||||
const loaded = await hooks.auth!.loader!(
|
||||
async () =>
|
||||
({
|
||||
type: "oauth",
|
||||
refresh: "refresh",
|
||||
access: createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
}),
|
||||
expires: Date.now() + 60_000,
|
||||
}) as never,
|
||||
{} as never,
|
||||
)
|
||||
|
||||
const response = await loaded.fetch!("https://api.openai.com/v1/responses", {
|
||||
method: "POST",
|
||||
headers: { "session-id": "session-1" },
|
||||
body: JSON.stringify({ stream: true, input: "hi" }),
|
||||
})
|
||||
|
||||
expect(await response.text()).toContain("data: [DONE]")
|
||||
expect(server.headers()?.["x-openai-internal-codex-residency"]).toBe("eu")
|
||||
await hooks.dispose?.()
|
||||
})
|
||||
|
||||
test("filters unsupported modes and uses Codex context limits for OAuth GPT models", async () => {
|
||||
const hooks = await CodexAuthPlugin({} as never)
|
||||
const limit = { context: 1_050_000, input: 922_000, output: 128_000 }
|
||||
@@ -315,9 +181,9 @@ describe("plugin.codex", () => {
|
||||
|
||||
expect(models["gpt-5.4"]?.limit).toEqual(limit)
|
||||
expect(models["gpt-5.5"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 400_000, input: 272_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-sol"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-terra"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.6-luna"]?.limit).toEqual({ context: 500_000, input: 372_000, output: 128_000 })
|
||||
expect(models["gpt-5.4-pro"]).toBeUndefined()
|
||||
expect(models["gpt-5.7-pro"]).toBeDefined()
|
||||
expect(models["gpt-5.6-sol-high"]).toBeDefined()
|
||||
@@ -327,9 +193,6 @@ describe("plugin.codex", () => {
|
||||
})
|
||||
|
||||
test("deduplicates concurrent Codex token refreshes", async () => {
|
||||
const refreshedAccess = createTestJwt({
|
||||
"https://api.openai.com/auth": { chatgpt_compute_residency: "eu" },
|
||||
})
|
||||
let auth = {
|
||||
type: "oauth" as const,
|
||||
refresh: "refresh-old",
|
||||
@@ -344,7 +207,7 @@ describe("plugin.codex", () => {
|
||||
resolveRefresh = resolve
|
||||
})
|
||||
let refreshRequests = 0
|
||||
const apiRequests: { authorization: string | null; accountId: string | null; residency: string | null }[] = []
|
||||
const apiRequests: { authorization: string | null; accountId: string | null }[] = []
|
||||
|
||||
using server = Bun.serve({
|
||||
port: 0,
|
||||
@@ -356,7 +219,7 @@ describe("plugin.codex", () => {
|
||||
await refreshReady
|
||||
return Response.json({
|
||||
id_token: createTestJwt({ chatgpt_account_id: "acc-123" }),
|
||||
access_token: refreshedAccess,
|
||||
access_token: "access-new",
|
||||
refresh_token: "refresh-new",
|
||||
expires_in: 3600,
|
||||
})
|
||||
@@ -366,7 +229,6 @@ describe("plugin.codex", () => {
|
||||
apiRequests.push({
|
||||
authorization: request.headers.get("authorization"),
|
||||
accountId: request.headers.get("ChatGPT-Account-Id"),
|
||||
residency: request.headers.get("x-openai-internal-codex-residency"),
|
||||
})
|
||||
return new Response("{}", { status: 200 })
|
||||
}
|
||||
@@ -419,11 +281,11 @@ describe("plugin.codex", () => {
|
||||
expect(refreshRequests).toBe(1)
|
||||
expect(authUpdates).toHaveLength(1)
|
||||
expect(authUpdates[0]?.body.refresh).toBe("refresh-new")
|
||||
expect(authUpdates[0]?.body.access).toBe(refreshedAccess)
|
||||
expect(authUpdates[0]?.body.access).toBe("access-new")
|
||||
expect(authUpdates[0]?.body.accountId).toBe("acc-123")
|
||||
expect(apiRequests).toEqual([
|
||||
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
|
||||
{ authorization: `Bearer ${refreshedAccess}`, accountId: "acc-123", residency: "eu" },
|
||||
{ authorization: "Bearer access-new", accountId: "acc-123" },
|
||||
{ authorization: "Bearer access-new", accountId: "acc-123" },
|
||||
])
|
||||
})
|
||||
})
|
||||
@@ -435,29 +297,3 @@ async function waitFor(predicate: () => boolean) {
|
||||
await new Promise((resolve) => setTimeout(resolve, 1))
|
||||
}
|
||||
}
|
||||
|
||||
async function createCodexWebSocketServer() {
|
||||
let headers: IncomingMessage["headers"] | undefined
|
||||
const server = createServer()
|
||||
const sockets = new WebSocketServer({ server })
|
||||
sockets.on("connection", (socket, request) => {
|
||||
headers = request.headers
|
||||
socket.once("message", () => {
|
||||
socket.send(JSON.stringify({ type: "response.completed", response: { id: "resp_123" } }))
|
||||
})
|
||||
})
|
||||
await new Promise<void>((resolve, reject) => {
|
||||
server.once("error", reject)
|
||||
server.listen(0, "127.0.0.1", resolve)
|
||||
})
|
||||
const address = server.address() as AddressInfo
|
||||
return {
|
||||
url: `http://127.0.0.1:${address.port}/backend-api/codex/responses`,
|
||||
headers: () => headers,
|
||||
async [Symbol.asyncDispose]() {
|
||||
for (const socket of sockets.clients) socket.terminate()
|
||||
sockets.close()
|
||||
server.close()
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
@@ -17,18 +17,13 @@ describe("plugin.openai.ws", () => {
|
||||
|
||||
const socket = await OpenAIWebSocket.connectResponsesWebSocket({
|
||||
url: server.wsUrl,
|
||||
headers: {
|
||||
authorization: "Bearer test",
|
||||
"content-length": "123",
|
||||
"x-openai-internal-codex-residency": "eu",
|
||||
},
|
||||
headers: { authorization: "Bearer test", "content-length": "123" },
|
||||
})
|
||||
|
||||
expect(OpenAIWebSocket.toWebSocketUrl("http://example.com/v1/responses")).toBe("ws://example.com/v1/responses")
|
||||
expect(OpenAIWebSocket.toWebSocketUrl("https://example.com/v1/responses")).toBe("wss://example.com/v1/responses")
|
||||
expect(headers?.authorization).toBe("Bearer test")
|
||||
expect(headers?.["openai-beta"]).toBe(OpenAIWebSocket.PROTOCOL_HEADER)
|
||||
expect(headers?.["x-openai-internal-codex-residency"]).toBe("eu")
|
||||
expect(headers?.["content-length"]).toBeUndefined()
|
||||
socket.terminate()
|
||||
})
|
||||
@@ -237,26 +232,6 @@ describe("plugin.openai.ws-pool", () => {
|
||||
fetch.close()
|
||||
})
|
||||
|
||||
test("falls back immediately to HTTP when a websocket request is too large", async () => {
|
||||
let connections = 0
|
||||
await using server = await createWebSocketServer((socket) => {
|
||||
connections += 1
|
||||
socket.once("message", () => socket.close(1009, "payload too large"))
|
||||
})
|
||||
const fetch = OpenAIWebSocketPool.createWebSocketFetch({
|
||||
url: server.url,
|
||||
})
|
||||
|
||||
const first = await fetch(server.url, streamRequest())
|
||||
const second = await fetch(server.url, streamRequest())
|
||||
|
||||
expect(await first.text()).toBe("http")
|
||||
expect(await second.text()).toBe("http")
|
||||
expect(connections).toBe(1)
|
||||
expect(server.httpRequests).toHaveLength(2)
|
||||
fetch.close()
|
||||
})
|
||||
|
||||
test("removes HTTP fallback when its session is deleted", async () => {
|
||||
let websocketAttempts = 0
|
||||
await using server = await createRejectingWebSocketServer(() => websocketAttempts++)
|
||||
|
||||
@@ -1,26 +1,22 @@
|
||||
// End-to-end regression tests for opencode#24432 and opencode#32051/#32052.
|
||||
// End-to-end regression test for opencode#24432.
|
||||
//
|
||||
// Routes through the actual ai-gateway-provider chain that provider.ts builds at
|
||||
// runtime, with only the network boundary stubbed:
|
||||
// - openai/* -> native OpenAI passthrough (Responses API)
|
||||
// - anthropic/* -> native Anthropic passthrough (Messages API)
|
||||
// - everything else -> unified /compat (openai-compatible chat completions)
|
||||
// Asserts what actually lands in the envelope body Cloudflare AI Gateway
|
||||
// forwards upstream, which is the only place these bugs were observable.
|
||||
// Routes through the actual ai-gateway-provider + @ai-sdk/openai-compatible
|
||||
// chain that provider.ts:811 builds at runtime, with only the network boundary
|
||||
// stubbed. Asserts that `reasoning_effort` (and other provider options the
|
||||
// transform emits) actually land in the body Cloudflare AI Gateway forwards
|
||||
// upstream, which is the only place the bug was observable.
|
||||
|
||||
import { afterEach, beforeEach, describe, expect, test } from "bun:test"
|
||||
import type { JSONValue } from "ai"
|
||||
import { generateText } from "ai"
|
||||
import { createAiGateway } from "ai-gateway-provider"
|
||||
import { createUnified } from "ai-gateway-provider/providers/unified"
|
||||
import { createOpenAI } from "ai-gateway-provider/providers/openai"
|
||||
import { createAnthropic } from "ai-gateway-provider/providers/anthropic"
|
||||
import { ProviderTransform } from "@/provider/transform"
|
||||
import type * as Provider from "@/provider/provider"
|
||||
import { ProviderV2 } from "@opencode-ai/core/provider"
|
||||
import { ModelV2 } from "@opencode-ai/core/model"
|
||||
|
||||
type Captured = { url: string; outerBody: unknown; headers: Record<string, string> }
|
||||
type Captured = { url: string; outerBody: unknown }
|
||||
type ProviderOptions = Record<string, Record<string, JSONValue>>
|
||||
|
||||
const realFetch = globalThis.fetch
|
||||
@@ -30,76 +26,24 @@ function isRecord(value: unknown): value is Record<string, unknown> {
|
||||
return typeof value === "object" && value !== null && !Array.isArray(value)
|
||||
}
|
||||
|
||||
// The gateway returns the upstream provider's response body verbatim, so the
|
||||
// mock must answer in the wire format of the step's target provider.
|
||||
function upstreamResponseBody(provider: string | undefined) {
|
||||
if (provider === "openai")
|
||||
return {
|
||||
id: "resp_test",
|
||||
object: "response",
|
||||
created_at: 0,
|
||||
model: "gpt-5.4",
|
||||
status: "completed",
|
||||
error: null,
|
||||
incomplete_details: null,
|
||||
output: [
|
||||
{
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
id: "msg_1",
|
||||
status: "completed",
|
||||
content: [{ type: "output_text", text: "ok", annotations: [] }],
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
input_tokens: 1,
|
||||
input_tokens_details: { cached_tokens: 0 },
|
||||
output_tokens: 1,
|
||||
output_tokens_details: { reasoning_tokens: 0 },
|
||||
total_tokens: 2,
|
||||
},
|
||||
}
|
||||
if (provider === "anthropic")
|
||||
return {
|
||||
id: "msg_test",
|
||||
type: "message",
|
||||
role: "assistant",
|
||||
model: "claude-sonnet-4-6",
|
||||
content: [{ type: "text", text: "ok" }],
|
||||
stop_reason: "end_turn",
|
||||
stop_sequence: null,
|
||||
usage: { input_tokens: 1, output_tokens: 1 },
|
||||
}
|
||||
return {
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "test",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}
|
||||
}
|
||||
|
||||
beforeEach(() => {
|
||||
captured = null
|
||||
const handle = async (input: Parameters<typeof fetch>[0], init?: Parameters<typeof fetch>[1]): Promise<Response> => {
|
||||
const url = typeof input === "string" ? input : input instanceof URL ? input.toString() : input.url
|
||||
if (url.startsWith("https://gateway.ai.cloudflare.com/")) {
|
||||
const bodyText = typeof init?.body === "string" ? init.body : ""
|
||||
const outerBody = bodyText ? JSON.parse(bodyText) : null
|
||||
captured = {
|
||||
url,
|
||||
outerBody,
|
||||
headers: Object.fromEntries(new Headers(init?.headers).entries()),
|
||||
}
|
||||
const provider =
|
||||
Array.isArray(outerBody) && isRecord(outerBody[0]) && typeof outerBody[0].provider === "string"
|
||||
? outerBody[0].provider
|
||||
: undefined
|
||||
return new Response(JSON.stringify(upstreamResponseBody(provider)), {
|
||||
status: 200,
|
||||
headers: { "Content-Type": "application/json" },
|
||||
})
|
||||
captured = { url, outerBody: bodyText ? JSON.parse(bodyText) : null }
|
||||
return new Response(
|
||||
JSON.stringify({
|
||||
id: "chatcmpl-test",
|
||||
object: "chat.completion",
|
||||
created: 0,
|
||||
model: "openai/gpt-5.4",
|
||||
choices: [{ index: 0, message: { role: "assistant", content: "ok" }, finish_reason: "stop" }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1, total_tokens: 2 },
|
||||
}),
|
||||
{ status: 200, headers: { "Content-Type": "application/json" } },
|
||||
)
|
||||
}
|
||||
return realFetch(input, init)
|
||||
}
|
||||
@@ -112,19 +56,11 @@ afterEach(() => {
|
||||
globalThis.fetch = realFetch
|
||||
})
|
||||
|
||||
// Mirrors the runtime npm rewrite in provider.ts: openai/anthropic models carry
|
||||
// their native SDK package so transforms key provider options correctly.
|
||||
const cfNpm = (apiId: string) => {
|
||||
if (apiId.startsWith("openai/")) return "@ai-sdk/openai"
|
||||
if (apiId.startsWith("anthropic/")) return "@ai-sdk/anthropic"
|
||||
return "ai-gateway-provider"
|
||||
}
|
||||
|
||||
const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => ({
|
||||
id: ModelV2.ID.make(`cloudflare-ai-gateway/${apiId}`),
|
||||
providerID: ProviderV2.ID.make("cloudflare-ai-gateway"),
|
||||
name: apiId,
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: cfNpm(apiId) },
|
||||
api: { id: apiId, url: "https://gateway.ai.cloudflare.com/v1/compat", npm: "ai-gateway-provider" },
|
||||
capabilities: {
|
||||
reasoning: true,
|
||||
temperature: false,
|
||||
@@ -144,165 +80,53 @@ const cfModel = (apiId: string, releaseDate = "2026-03-05"): Provider.Model => (
|
||||
|
||||
// ai-gateway-provider sends an array of step descriptors; each entry's `query`
|
||||
// is the body forwarded to the upstream provider.
|
||||
function firstStep(body: unknown): Record<string, unknown> | undefined {
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
if (!Array.isArray(body) || body.length === 0) return undefined
|
||||
const first = body[0]
|
||||
return isRecord(first) ? first : undefined
|
||||
}
|
||||
|
||||
function extractUpstreamQuery(body: unknown): Record<string, unknown> | undefined {
|
||||
const query = firstStep(body)?.query
|
||||
if (!isRecord(first)) return undefined
|
||||
const query = first.query
|
||||
return isRecord(query) ? query : undefined
|
||||
}
|
||||
|
||||
// Each step descriptor also carries the `headers` forwarded to the upstream provider.
|
||||
function extractUpstreamHeaders(body: unknown): Record<string, unknown> | undefined {
|
||||
const headers = firstStep(body)?.headers
|
||||
return isRecord(headers) ? headers : undefined
|
||||
}
|
||||
|
||||
// Mirrors the runtime routing in provider.ts getModel.
|
||||
function gatewayModel(apiId: string, gatewayToken = "test") {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: gatewayToken })
|
||||
if (apiId.startsWith("openai/")) return aigateway(createOpenAI()(apiId.slice("openai/".length)))
|
||||
if (apiId.startsWith("anthropic/")) return aigateway(createAnthropic()(apiId.slice("anthropic/".length)))
|
||||
const isWorkersAi = apiId.startsWith("workers-ai/") || apiId.startsWith("@cf/")
|
||||
const unified = createUnified(isWorkersAi ? { apiKey: gatewayToken } : {})
|
||||
return aigateway(unified(apiId))
|
||||
}
|
||||
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions, gatewayToken = "test") {
|
||||
await generateText({ model: gatewayModel(apiId, gatewayToken), prompt: "hi", providerOptions })
|
||||
async function callThroughGateway(apiId: string, providerOptions: ProviderOptions) {
|
||||
const aigateway = createAiGateway({ accountId: "test", gateway: "test", apiKey: "test" })
|
||||
const unified = createUnified()
|
||||
await generateText({ model: aigateway(unified(apiId)), prompt: "hi", providerOptions })
|
||||
return extractUpstreamQuery(captured?.outerBody)
|
||||
}
|
||||
|
||||
describe("cf-ai-gateway routing", () => {
|
||||
test("openai/* rides the native OpenAI passthrough on the Responses API", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("openai")
|
||||
expect(step?.endpoint).toBe("v1/responses")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("gpt-5.4")
|
||||
})
|
||||
|
||||
test("anthropic/* rides the native Anthropic passthrough on the Messages API", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("anthropic")
|
||||
expect(step?.endpoint).toBe("v1/messages")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("claude-sonnet-4-6")
|
||||
})
|
||||
|
||||
test("workers-ai models stay on the unified /compat route", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {})
|
||||
const step = firstStep(captured?.outerBody)
|
||||
expect(step?.provider).toBe("compat")
|
||||
expect(step?.endpoint).toBe("chat/completions")
|
||||
const upstream = extractUpstreamQuery(captured?.outerBody)
|
||||
expect(upstream?.model).toBe("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway end-to-end (regression: #24432)", () => {
|
||||
test("ProviderTransform.providerOptions output puts reasoning effort on the Responses wire", async () => {
|
||||
// The full chain the runtime exercises for OpenAI models:
|
||||
// transform.providerOptions() -> "openai" key (npm rewritten to @ai-sdk/openai)
|
||||
// -> OpenAIResponsesLanguageModel emits body.reasoning.effort
|
||||
test("ProviderTransform.providerOptions output puts reasoning_effort on the wire", async () => {
|
||||
// The full chain the runtime exercises:
|
||||
// transform.providerOptions() -> openaiCompatible key
|
||||
// -> @ai-sdk/openai-compatible reads it as compatibleOptions
|
||||
// -> emits body.reasoning_effort
|
||||
// -> ai-gateway-provider wraps the body and forwards to gateway.ai.cloudflare.com
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), { reasoningEffort: "xhigh" })
|
||||
expect(Object.keys(opts)).toEqual(["openai"])
|
||||
expect(opts.openai.reasoningEffort).toBe("xhigh")
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "xhigh" } })
|
||||
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
expect((upstream?.reasoning as Record<string, unknown> | undefined)?.effort).toBe("xhigh")
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
test("variants() output for openai/gpt-5.4 lands xhigh on the wire", async () => {
|
||||
// fromModelsDevModel resolves the native npm before computing variants, so
|
||||
// OpenAI models get full Responses-flavored payloads (summary + encrypted
|
||||
// reasoning include for stateless multi-turn reasoning).
|
||||
// The other half of the bug: workflow `variant: xhigh` flows through variants()
|
||||
// and must reach the wire. variants() returns the providerOptions payload
|
||||
// unwrapped; providerOptions() wraps it under the SDK key.
|
||||
const variants = ProviderTransform.variants(cfModel("openai/gpt-5.4"))
|
||||
expect(variants.xhigh).toEqual({
|
||||
reasoningEffort: "xhigh",
|
||||
reasoningSummary: "auto",
|
||||
include: ["reasoning.encrypted_content"],
|
||||
})
|
||||
expect(variants.xhigh).toEqual({ reasoningEffort: "xhigh" })
|
||||
|
||||
const opts = ProviderTransform.providerOptions(cfModel("openai/gpt-5.4"), variants.xhigh)
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", opts)
|
||||
const reasoning = upstream?.reasoning as Record<string, unknown> | undefined
|
||||
expect(reasoning?.effort).toBe("xhigh")
|
||||
expect(reasoning?.summary).toBe("auto")
|
||||
})
|
||||
|
||||
test("reasoning effort variants for anthropic models land as native adaptive thinking", async () => {
|
||||
// Mirrors the runtime catalog path: models.dev reasoning_options -> reasoningVariants
|
||||
// computed on the native @ai-sdk/anthropic npm -> adaptive thinking + output_config.effort.
|
||||
const model = cfModel("anthropic/claude-sonnet-4-6")
|
||||
const variants = ProviderTransform.reasoningVariants(
|
||||
{ reasoning_options: [{ type: "effort", values: ["low", "medium", "high"] }] } as never,
|
||||
model,
|
||||
)
|
||||
expect(variants?.high).toMatchObject({ effort: "high" })
|
||||
|
||||
const opts = ProviderTransform.providerOptions(model, variants!.high)
|
||||
expect(Object.keys(opts)).toEqual(["anthropic"])
|
||||
|
||||
const upstream = await callThroughGateway("anthropic/claude-sonnet-4-6", opts)
|
||||
expect((upstream?.thinking as Record<string, unknown> | undefined)?.type).toBe("adaptive")
|
||||
expect((upstream?.output_config as Record<string, unknown> | undefined)?.effort).toBe("high")
|
||||
})
|
||||
|
||||
test("reasoning_effort still reaches the /compat wire for workers-ai models", async () => {
|
||||
const model = cfModel("workers-ai/@cf/moonshotai/kimi-k2.6")
|
||||
const opts = ProviderTransform.providerOptions(model, { reasoningEffort: "high" })
|
||||
expect(opts).toEqual({ openaiCompatible: { reasoningEffort: "high" } })
|
||||
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", opts)
|
||||
expect(upstream?.reasoning_effort).toBe("high")
|
||||
expect(upstream?.reasoning_effort).toBe("xhigh")
|
||||
})
|
||||
|
||||
test("legacy buggy key 'cloudflare-ai-gateway' does NOT reach the wire (proves the bug)", async () => {
|
||||
// Sanity: confirms the bug class. If a future change accidentally restores
|
||||
// providerID-keyed providerOptions, this test fails before users notice.
|
||||
const upstream = await callThroughGateway("workers-ai/@cf/moonshotai/kimi-k2.6", {
|
||||
const upstream = await callThroughGateway("openai/gpt-5.4", {
|
||||
"cloudflare-ai-gateway": { reasoningEffort: "high" },
|
||||
})
|
||||
expect(upstream?.reasoning_effort).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("cf-ai-gateway token scoping (regression: #32051/#32052)", () => {
|
||||
test("openai passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("openai/gpt-5.4", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
// Security invariant: the Cloudflare token must never become the upstream provider's Authorization.
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("anthropic passthrough does NOT forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("anthropic/claude-sonnet-4-6", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["x-api-key"]).toBeUndefined()
|
||||
expect(JSON.stringify(captured?.outerBody)).not.toContain("cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("workers-ai models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("workers-ai/@cf/google/gemma-4-26b-a4b-it", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
|
||||
test("bare @cf/ Workers AI models DO forward the Cloudflare token upstream", async () => {
|
||||
await callThroughGateway("@cf/meta/llama-3.1-8b-instruct", {}, "cf-gateway-secret")
|
||||
|
||||
expect(captured?.headers["cf-aig-authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
expect(extractUpstreamHeaders(captured?.outerBody)?.["authorization"]).toBe("Bearer cf-gateway-secret")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -3215,19 +3215,6 @@ describe("ProviderTransform.temperature - Cohere North", () => {
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - Qwen", () => {
|
||||
test.each(["Qwen3.8-27B", "qwen3-coder-30b-a3b-instruct"])('leaves sampling unset for "%s"', (id) => {
|
||||
const model = {
|
||||
id: `custom/${id}`,
|
||||
api: { id },
|
||||
} as any
|
||||
|
||||
expect(ProviderTransform.temperature(model)).toBeUndefined()
|
||||
expect(ProviderTransform.topP(model)).toBeUndefined()
|
||||
expect(ProviderTransform.topK(model)).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
describe("ProviderTransform sampling defaults - Gemini", () => {
|
||||
const model = (id: string) =>
|
||||
({
|
||||
|
||||
@@ -222,6 +222,11 @@ function cfg(compaction?: ConfigV1.Info["compaction"]) {
|
||||
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed({ ...base, compaction }) }))
|
||||
}
|
||||
|
||||
function cfgAgent(agent: NonNullable<ConfigV1.Info["agent"]>) {
|
||||
const config = Schema.decodeUnknownSync(ConfigV1.Info)({ agent }) as ConfigV1.Info
|
||||
return Layer.succeed(Config.Service, TestConfig.make({ get: () => Effect.succeed(config) }))
|
||||
}
|
||||
|
||||
const defaultProvider = wide()
|
||||
const compactionTestNode = LayerNode.group([
|
||||
SessionCompaction.node,
|
||||
@@ -812,6 +817,75 @@ describe("session.compaction.prune", () => {
|
||||
})
|
||||
|
||||
describe("session.compaction.process", () => {
|
||||
itCompaction.instance(
|
||||
"inherits the last agent when compaction is not configured",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured: LLM.StreamInput | undefined
|
||||
stub.push(reply("summary", (input) => (captured = input)))
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
const msg = yield* createUserMessage(session.id, "hello")
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: msg.id,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured?.agent.name).toBe("build")
|
||||
expect(captured?.agent.prompt).toBe("custom build prompt")
|
||||
expect(captured?.agent.temperature).toBe(0.37)
|
||||
expect(String(captured?.model.providerID)).toBe("test")
|
||||
expect(String(captured?.model.id)).toBe("test-model")
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfgAgent({
|
||||
build: { prompt: "custom build prompt", temperature: 0.37, model: "missing/missing" },
|
||||
}),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
itCompaction.instance(
|
||||
"preserves an explicitly configured compaction agent",
|
||||
() => {
|
||||
const stub = llm()
|
||||
let captured: LLM.StreamInput | undefined
|
||||
stub.push(reply("summary", (input) => (captured = input)))
|
||||
return Effect.gen(function* () {
|
||||
const ssn = yield* SessionNs.Service
|
||||
const session = yield* ssn.create({})
|
||||
const msg = yield* createUserMessage(session.id, "hello")
|
||||
const msgs = yield* ssn.messages({ sessionID: session.id })
|
||||
|
||||
yield* SessionCompaction.use.process({
|
||||
parentID: msg.id,
|
||||
messages: msgs,
|
||||
sessionID: session.id,
|
||||
auto: false,
|
||||
})
|
||||
|
||||
expect(captured?.agent.name).toBe("compaction")
|
||||
expect(captured?.agent.prompt).toBe("custom compaction prompt")
|
||||
expect(captured?.agent.temperature).toBe(0.81)
|
||||
expect(captured?.agent.hidden).toBe(true)
|
||||
}).pipe(
|
||||
withCompaction({
|
||||
llm: stub.llmLayer,
|
||||
config: cfgAgent({ compaction: { prompt: "custom compaction prompt", temperature: 0.81 } }),
|
||||
}),
|
||||
)
|
||||
},
|
||||
{ git: true },
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"throws when parent is not a user message",
|
||||
Effect.gen(function* () {
|
||||
@@ -1782,22 +1856,6 @@ describe("SessionNs.getUsage", () => {
|
||||
expect(Number.isNaN(result.cost)).toBe(false)
|
||||
})
|
||||
|
||||
test("ignores malformed cost fields", () => {
|
||||
const model = createModel({
|
||||
context: 100_000,
|
||||
output: 32_000,
|
||||
cost: { input: 3, output: 15, cache: { read: 0.3, write: 3.75 } },
|
||||
})
|
||||
Object.assign(model.cost, { input: {} })
|
||||
|
||||
const result = SessionNs.getUsage({
|
||||
model,
|
||||
usage: usage({ inputTokens: 1_000_000, outputTokens: 100_000, totalTokens: 1_100_000 }),
|
||||
})
|
||||
|
||||
expect(result.cost).toBe(1.5)
|
||||
})
|
||||
|
||||
test("calculates cost correctly", () => {
|
||||
const model = createModel({
|
||||
context: 100_000,
|
||||
|
||||
@@ -444,6 +444,34 @@ const boot = Effect.fn("test.boot")(function* (input?: { title?: string }) {
|
||||
|
||||
// Loop semantics
|
||||
|
||||
it.instance("default compaction reuses the normal system and tools", () =>
|
||||
Effect.gen(function* () {
|
||||
const { llm } = yield* useServerConfig(providerCfg)
|
||||
const { prompt, chat } = yield* boot()
|
||||
const compact = yield* SessionCompaction.Service
|
||||
yield* user(chat.id, "cache prefix message")
|
||||
yield* llm.text("normal response")
|
||||
yield* prompt.loop({ sessionID: chat.id })
|
||||
|
||||
yield* compact.create({ sessionID: chat.id, agent: "build", model: ref, auto: false })
|
||||
yield* llm.text("compacted summary")
|
||||
yield* prompt.loop({ sessionID: chat.id })
|
||||
|
||||
const inputs = yield* llm.inputs
|
||||
expect(inputs).toHaveLength(2)
|
||||
expect(inputs[1]?.tools).toEqual(inputs[0]?.tools)
|
||||
const normalMessages = Array.isArray(inputs[0]?.messages) ? inputs[0].messages : []
|
||||
const compactMessages = Array.isArray(inputs[1]?.messages) ? inputs[1].messages : []
|
||||
const system = (message: unknown) =>
|
||||
typeof message === "object" && message !== null && "role" in message && message.role === "system"
|
||||
expect(compactMessages.find(system)).toEqual(normalMessages.find(system))
|
||||
expect(JSON.stringify(compactMessages)).toContain("cache prefix message")
|
||||
expect(JSON.stringify(compactMessages)).toContain("normal response")
|
||||
expect(JSON.stringify(compactMessages)).toContain("Create a new anchored summary")
|
||||
expect(JSON.stringify(compactMessages)).not.toContain("[User]: cache prefix message")
|
||||
}),
|
||||
)
|
||||
|
||||
noLLMServer.instance(
|
||||
"loop exits immediately when last assistant has stop finish",
|
||||
() =>
|
||||
@@ -1816,41 +1844,6 @@ unix(
|
||||
30_000,
|
||||
)
|
||||
|
||||
it.instance(
|
||||
"command expands multiple skill invocations into one prompt",
|
||||
() =>
|
||||
Effect.gen(function* () {
|
||||
const { directory } = yield* TestInstance
|
||||
yield* writeText(
|
||||
path.join(directory, ".opencode", "skills", "skill-alpha", "SKILL.md"),
|
||||
"---\nname: skill-alpha\ndescription: Alpha instructions\n---\nALPHA_INSTRUCTIONS",
|
||||
)
|
||||
yield* writeText(
|
||||
path.join(directory, ".opencode", "skills", "skill-beta", "SKILL.md"),
|
||||
"---\nname: skill-beta\ndescription: Beta instructions\n---\nBETA_INSTRUCTIONS",
|
||||
)
|
||||
const { llm } = yield* useServerConfig(providerCfg)
|
||||
const { prompt, chat } = yield* boot()
|
||||
yield* llm.text("done")
|
||||
|
||||
yield* prompt.command({
|
||||
sessionID: chat.id,
|
||||
command: "skill-alpha",
|
||||
arguments: "/skill-beta /skill-beta inspect src/foo/bar.ts and https://example.com/a/b /unknown /skill-alpha",
|
||||
})
|
||||
|
||||
const messages = JSON.stringify((yield* llm.inputs).at(-1)?.messages)
|
||||
expect(messages).toContain("ALPHA_INSTRUCTIONS")
|
||||
expect(messages).toContain("BETA_INSTRUCTIONS")
|
||||
expect(messages).toContain("inspect src/foo/bar.ts and https://example.com/a/b /unknown")
|
||||
expect(messages.match(/ALPHA_INSTRUCTIONS/g)).toHaveLength(1)
|
||||
expect(messages.match(/BETA_INSTRUCTIONS/g)).toHaveLength(1)
|
||||
expect(messages.match(/inspect src\/foo\/bar\.ts/g)).toHaveLength(1)
|
||||
}),
|
||||
{ git: true },
|
||||
30_000,
|
||||
)
|
||||
|
||||
unixNoLLMServer(
|
||||
"cancel interrupts shell and resolves cleanly",
|
||||
() =>
|
||||
|
||||
@@ -37,9 +37,8 @@ describe("websearch provider", () => {
|
||||
expect(selectWebSearchProvider(SESSION_ID, { exa: false, parallel: true })).toBe("parallel")
|
||||
})
|
||||
|
||||
test("is enabled for OpenCode providers or explicit websearch provider flags", () => {
|
||||
test("is only enabled for opencode or explicit websearch provider flags", () => {
|
||||
expect(webSearchEnabled(ProviderV2.ID.opencode, { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.make("opencode-go"), { exa: false, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: false })).toBe(false)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: true, parallel: false })).toBe(true)
|
||||
expect(webSearchEnabled(ProviderV2.ID.openai, { exa: false, parallel: true })).toBe(true)
|
||||
|
||||
@@ -241,7 +241,7 @@ export function Footer(props: {
|
||||
{ href: "https://opencode.ai/discord", label: i18n.t("footer.community") },
|
||||
{ href: "https://x.com/opencode", label: "X" },
|
||||
{ href: githubLink.href, label: i18n.t("header.github") },
|
||||
{ href: "https://www.youtube.com/@anomalyco", label: i18n.t("footer.youtube") },
|
||||
{ href: "https://www.youtube.com/@anomaly-co", label: i18n.t("footer.youtube") },
|
||||
]
|
||||
const bridge = () =>
|
||||
props.bridge === undefined
|
||||
|
||||
@@ -21,7 +21,7 @@ import { Locale } from "../../util/locale"
|
||||
import type { PromptInfo } from "../../prompt/history"
|
||||
import { useFrecency } from "../../prompt/frecency"
|
||||
import { useBindings, useCommandSlashes, useOpencodeModeStack } from "../../keymap"
|
||||
import { displayCharAt, mentionTriggerIndex, slashTriggerIndex } from "../../prompt/display"
|
||||
import { displayCharAt, mentionTriggerIndex } from "../../prompt/display"
|
||||
import type { FileSystemEntry } from "@opencode-ai/sdk/v2"
|
||||
|
||||
function removeLineRange(input: string) {
|
||||
@@ -63,7 +63,6 @@ export type AutocompleteRef = {
|
||||
|
||||
export type AutocompleteOption = {
|
||||
display: string
|
||||
kind?: "skill"
|
||||
value?: string
|
||||
aliases?: string[]
|
||||
disabled?: boolean
|
||||
@@ -449,24 +448,17 @@ export function Autocomplete(props: {
|
||||
const results: AutocompleteOption[] = [...slashes()]
|
||||
|
||||
for (const serverCommand of sync.data.command) {
|
||||
if (serverCommand.source === "skill") continue
|
||||
const label = serverCommand.source === "mcp" ? ":mcp" : ""
|
||||
results.push({
|
||||
display: "/" + serverCommand.name + label,
|
||||
kind: serverCommand.source === "skill" ? "skill" : undefined,
|
||||
description: serverCommand.description,
|
||||
onSelect: () => {
|
||||
const input = props.input()
|
||||
const newText = "/" + serverCommand.name + " "
|
||||
const currentCursorOffset = input.cursorOffset
|
||||
input.cursorOffset = store.index
|
||||
const startCursor = input.logicalCursor
|
||||
input.cursorOffset = currentCursorOffset
|
||||
const endCursor = input.logicalCursor
|
||||
input.deleteRange(startCursor.row, startCursor.col, endCursor.row, endCursor.col)
|
||||
input.insertText(newText)
|
||||
props.setPrompt((draft) => {
|
||||
draft.input = input.plainText
|
||||
})
|
||||
const cursor = props.input().logicalCursor
|
||||
props.input().deleteRange(0, 0, cursor.row, cursor.col)
|
||||
props.input().insertText(newText)
|
||||
props.input().cursorOffset = Bun.stringWidth(newText)
|
||||
},
|
||||
})
|
||||
}
|
||||
@@ -497,11 +489,7 @@ export function Autocomplete(props: {
|
||||
// it shouldn't be additionally sorted by fuzzysort as it will loose the results
|
||||
const fileOptions: AutocompleteOption[] = store.visible === "@" ? filesValue || [] : []
|
||||
const nonFileOptions: AutocompleteOption[] =
|
||||
store.visible === "@"
|
||||
? [...referenceAliasesValue, ...agentsValue, ...mcpResources()]
|
||||
: store.index === 0
|
||||
? [...commandsValue]
|
||||
: commandsValue.filter((item) => item.kind === "skill")
|
||||
store.visible === "@" ? [...referenceAliasesValue, ...agentsValue, ...mcpResources()] : [...commandsValue]
|
||||
|
||||
if (!searchValue) {
|
||||
return [...nonFileOptions, ...fileOptions]
|
||||
@@ -565,7 +553,7 @@ export function Autocomplete(props: {
|
||||
function select() {
|
||||
const selected = options()[store.selected]
|
||||
if (!selected) return
|
||||
setStore("visible", false)
|
||||
hide()
|
||||
selected.onSelect?.()
|
||||
}
|
||||
|
||||
@@ -661,17 +649,12 @@ export function Autocomplete(props: {
|
||||
|
||||
function hide() {
|
||||
const text = props.input().plainText
|
||||
if (store.visible === "/" && !text.endsWith(" ")) {
|
||||
const input = props.input()
|
||||
const currentCursorOffset = input.cursorOffset
|
||||
input.cursorOffset = store.index
|
||||
const startCursor = input.logicalCursor
|
||||
input.cursorOffset = currentCursorOffset
|
||||
const endCursor = input.logicalCursor
|
||||
input.deleteRange(startCursor.row, startCursor.col, endCursor.row, endCursor.col)
|
||||
if (store.visible === "/" && !text.endsWith(" ") && text.startsWith("/")) {
|
||||
const cursor = props.input().logicalCursor
|
||||
props.input().deleteRange(0, 0, cursor.row, cursor.col)
|
||||
// Sync the prompt store immediately since onContentChange is async
|
||||
props.setPrompt((draft) => {
|
||||
draft.input = input.plainText
|
||||
draft.input = props.input().plainText
|
||||
})
|
||||
}
|
||||
setStore("visible", false)
|
||||
@@ -696,7 +679,9 @@ export function Autocomplete(props: {
|
||||
// Typed text before the trigger
|
||||
props.input().cursorOffset <= store.index ||
|
||||
// There is a space between the trigger and the cursor
|
||||
props.input().getTextRange(store.index, props.input().cursorOffset).match(/\s/)
|
||||
props.input().getTextRange(store.index, props.input().cursorOffset).match(/\s/) ||
|
||||
// "/<command>" is not the sole content
|
||||
(store.visible === "/" && value.match(/^\S+\s+\S+\s*$/))
|
||||
) {
|
||||
hide()
|
||||
}
|
||||
@@ -707,10 +692,10 @@ export function Autocomplete(props: {
|
||||
const offset = props.input().cursorOffset
|
||||
if (offset === 0) return
|
||||
|
||||
const slash = slashTriggerIndex(value, offset)
|
||||
if (slash !== undefined) {
|
||||
// Check for "/" at position 0 - reopen slash commands
|
||||
if (value.startsWith("/") && !value.slice(0, offset).match(/\s/)) {
|
||||
show("/")
|
||||
setStore("index", slash)
|
||||
setStore("index", 0)
|
||||
return
|
||||
}
|
||||
|
||||
|
||||
@@ -46,14 +46,3 @@ export function mentionTriggerIndex(value: string, offset = promptOffsetWidth(va
|
||||
return promptOffsetWidth(text.slice(0, index))
|
||||
}
|
||||
}
|
||||
|
||||
export function slashTriggerIndex(value: string, offset = promptOffsetWidth(value)) {
|
||||
const text = displaySlice(value, 0, offset)
|
||||
for (let index = text.lastIndexOf("/"); index >= 0; index = text.lastIndexOf("/", index - 1)) {
|
||||
const before = index === 0 ? undefined : text[index - 1]
|
||||
const query = text.slice(index)
|
||||
if (before !== undefined && !/\s/.test(before)) continue
|
||||
if (/\s/.test(query) || query.slice(1).includes("/")) return
|
||||
return promptOffsetWidth(text.slice(0, index))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { describe, expect, test } from "bun:test"
|
||||
import { displayCharAt, displaySlice, mentionTriggerIndex, slashTriggerIndex } from "../../src/prompt/display"
|
||||
import { displayCharAt, displaySlice, mentionTriggerIndex } from "../../src/prompt/display"
|
||||
|
||||
describe("prompt display", () => {
|
||||
test("uses display-width offsets for mentions", () => {
|
||||
@@ -30,14 +30,4 @@ describe("prompt display", () => {
|
||||
expect(mentionTriggerIndex("foo@bar.com")).toBeUndefined()
|
||||
expect(mentionTriggerIndex("中文 @src file")).toBeUndefined()
|
||||
})
|
||||
|
||||
test("finds slash commands at token boundaries", () => {
|
||||
expect(slashTriggerIndex("/")).toBe(0)
|
||||
expect(slashTriggerIndex("Review this /api-design")).toBe(12)
|
||||
expect(slashTriggerIndex("中文 /api-design")).toBe(5)
|
||||
expect(slashTriggerIndex("Review /api design")).toBeUndefined()
|
||||
expect(slashTriggerIndex("Review /tmp/file.ts")).toBeUndefined()
|
||||
expect(slashTriggerIndex("https://opencode.ai/docs")).toBeUndefined()
|
||||
expect(slashTriggerIndex("src/prompt/index.ts")).toBeUndefined()
|
||||
})
|
||||
})
|
||||
|
||||
@@ -50,7 +50,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
تشمل قائمة النماذج الحالية:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -81,7 +80,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
- **الحد الأسبوعي** — استخدام بقيمة $30
|
||||
- **الحد الشهري** — استخدام بقيمة $60
|
||||
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل MiMo-V2.5 عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
تُحدَّد الحدود بالقيمة بالدولار. وهذا يعني أن عدد طلباتك الفعلي يعتمد على النموذج الذي تستخدمه. تتيح النماذج الأقل تكلفة مثل DeepSeek V4 Flash عددًا أكبر من الطلبات، بينما تتيح النماذج الأعلى تكلفة مثل GLM-5.2 عددًا أقل.
|
||||
|
||||
يوضح الجدول أدناه عددًا تقديريًا للطلبات بناءً على أنماط استخدام Go المعتادة:
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| ----------------- | ------------------- | ------------------ | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
تستند التقديرات إلى أنماط الطلبات المرصودة:
|
||||
|
||||
- Grok 4.5 — 1,100 input، و71,500 cached، و220 output tokens لكل طلب
|
||||
- GLM-5.3/5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GLM-5.2/5.1 — 700 input، و52,000 cached، و150 output tokens لكل طلب
|
||||
- GPT 5.6 Luna — 1,000 توكن إدخال، و50,000 توكن مخزّن مؤقتًا، و220 توكن إخراج لكل طلب
|
||||
- Kimi K3 — 1,050 input، و76,500 cached، و300 output tokens لكل طلب
|
||||
- Kimi K2.7/K2.6 — 870 input، و55,000 cached، و200 output tokens لكل طلب
|
||||
- DeepSeek V4 Pro — 750 input، و82,000 cached، و290 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 410 input، و71,300 cached، و310 output tokens لكل طلب
|
||||
- DeepSeek V4 Flash — 790 input، و68,000 cached، و280 output tokens لكل طلب
|
||||
- MiniMax M3 — 510 input، و56,000 cached، و190 output tokens لكل طلب
|
||||
- MiniMax M2.7 — 300 input، و55,000 cached، و125 output tokens لكل طلب
|
||||
- Qwen3.8 Max — 420 input، و66,000 cached، و200 output tokens لكل طلب
|
||||
@@ -133,7 +131,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
يمكنك تتبّع استخدامك الحالي في **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -194,7 +187,6 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------- | ------------------ |
|
||||
| Grok 4.5 | غير مستخدَمة | 30 يومًا |
|
||||
| GPT 5.6 Luna | غير مستخدَمة | 30 يومًا |
|
||||
| GLM-5.3 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.2 | غير مستخدَمة | 0 أيام |
|
||||
| GLM-5.1 | غير مستخدَمة | 0 أيام |
|
||||
| Kimi K3 | غير مستخدَمة | 0 أيام |
|
||||
|
||||
@@ -85,7 +85,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -94,7 +93,6 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -160,10 +158,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -175,7 +171,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -187,7 +182,6 @@ https://opencode.ai/zen/v1/models
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -214,8 +208,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** ساعات Peak هي 01:00-04:00 و06:00-10:00 UTC؛ وجميع الساعات الأخرى Off-Peak. [اعرف المزيد](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
قد تلاحظ [نماذج منخفضة التكلفة](/docs/config/#models)، مثل Haiku أو Nano أو Flash، في سجل الاستخدام. يستخدم OpenCode هذه النماذج لإنشاء عناوين الجلسات.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -60,7 +60,6 @@ Samo jedan član po radnom prostoru (workspace) može se pretplatiti na OpenCode
|
||||
Trenutna lista modela uključuje:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go uključuje sljedeća ograničenja:
|
||||
- **Sedmično ograničenje** — $30 potrošnje
|
||||
- **Mjesečno ograničenje** — $60 potrošnje
|
||||
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput MiMo-V2.5 omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni broj zahtjeva zavisi od modela koji koristite. Jeftiniji modeli poput DeepSeek V4 Flash omogućavaju više zahtjeva, dok skuplji modeli poput GLM-5.2 omogućavaju manje.
|
||||
|
||||
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| ----------------- | ------------------ | ----------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca kori
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Procjene se zasnivaju na zapaženim obrascima zahtjeva:
|
||||
|
||||
- Grok 4.5 — 1,100 ulaznih, 71,500 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- GLM-5.3/5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GLM-5.2/5.1 — 700 ulaznih (input), 52,000 keširanih, 150 izlaznih (output) tokena po zahtjevu
|
||||
- GPT 5.6 Luna — 1,000 ulaznih, 50,000 keširanih, 220 izlaznih tokena po zahtjevu
|
||||
- Kimi K3 — 1,050 ulaznih, 76,500 keširanih, 300 izlaznih tokena po zahtjevu
|
||||
- Kimi K2.7/K2.6 — 870 ulaznih, 55,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 410 ulaznih, 71,300 keširanih, 310 izlaznih tokena po zahtjevu
|
||||
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
|
||||
- MiniMax M3 — 510 ulaznih, 56,000 keširanih, 190 izlaznih tokena po zahtjevu
|
||||
- MiniMax M2.7 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
|
||||
- Qwen3.8 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
|
||||
@@ -143,7 +141,6 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Procjene se također zasnivaju na sljedećim cijenama po 1M tokena i mjesečnoj
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Svoju trenutnu potrošnju možete pratiti u **<a href={console}>konzoli</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ----------------- | -------------------- |
|
||||
| Grok 4.5 | Ne koristi se | 30 dana |
|
||||
| GPT 5.6 Luna | Ne koristi se | 30 dana |
|
||||
| GLM-5.3 | Ne koristi se | 0 dana |
|
||||
| GLM-5.2 | Ne koristi se | 0 dana |
|
||||
| GLM-5.1 | Ne koristi se | 0 dana |
|
||||
| Kimi K3 | Ne koristi se | 0 dana |
|
||||
|
||||
@@ -90,7 +90,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak sati su 01:00-04:00 i 06:00-10:00 UTC; svi ostali sati su Off-Peak. [Saznajte više](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
U historiji korištenja možete primijetiti [jeftinije modele](/docs/config/#models), kao što su Haiku, Nano ili Flash. OpenCode koristi ove modele za generisanje naslova sesija.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -60,7 +60,6 @@ Kun ét medlem per arbejdsområde kan abonnere på OpenCode Go.
|
||||
Den nuværende liste over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go inkluderer følgende grænser:
|
||||
- **Ugentlig grænse** — forbrug for $30
|
||||
- **Månedlig grænse** — forbrug for $60
|
||||
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som MiMo-V2.5 tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmodninger afhænger af den model, du bruger. Billigere modeller som DeepSeek V4 Flash tillader flere anmodninger, mens dyrere modeller som GLM-5.2 tillader færre.
|
||||
|
||||
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| ----------------- | ----------------------- | ------------------- | --------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-fo
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Estimaterne er baseret på observerede anmodningsmønstre:
|
||||
|
||||
- Grok 4.5 — 1.100 input, 71.500 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GLM-5.2/5.1 — 700 input, 52.000 cachelagrede, 150 output-tokens pr. anmodning
|
||||
- GPT 5.6 Luna — 1.000 input, 50.000 cachelagrede, 220 output-tokens pr. anmodning
|
||||
- Kimi K3 — 1.050 input, 76.500 cachelagrede, 300 output-tokens pr. anmodning
|
||||
- Kimi K2.7/K2.6 — 870 input, 55.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 410 input, 71.300 cachelagrede, 310 output-tokens pr. anmodning
|
||||
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
|
||||
- MiniMax M3 — 510 input, 56.000 cachelagrede, 190 output-tokens pr. anmodning
|
||||
- MiniMax M2.7 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
|
||||
- Qwen3.8 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
|
||||
@@ -143,7 +141,6 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Estimaterne er også baseret på følgende priser pr. 1M tokens og det månedlig
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kan spore dit nuværende forbrug i **<a href={console}>konsollen</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------ | -------------- |
|
||||
| Grok 4.5 | Ikke brugt | 30 dage |
|
||||
| GPT 5.6 Luna | Ikke brugt | 30 dage |
|
||||
| GLM-5.3 | Ikke brugt | 0 dage |
|
||||
| GLM-5.2 | Ikke brugt | 0 dage |
|
||||
| GLM-5.1 | Ikke brugt | 0 dage |
|
||||
| Kimi K3 | Ikke brugt | 0 dage |
|
||||
|
||||
@@ -90,7 +90,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tiderne er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Læs mere](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du vil måske bemærke [lavprismodeller](/docs/config/#models), såsom Haiku, Nano eller Flash, i din brugshistorik. OpenCode bruger disse modeller til at generere sessionstitler.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -52,7 +52,6 @@ Nur ein Mitglied pro Workspace kann OpenCode Go abonnieren.
|
||||
Die aktuelle Liste der Modelle umfasst:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -83,7 +82,7 @@ OpenCode Go beinhaltet die folgenden Limits:
|
||||
- **Wöchentliches Limit** — 30 $ Nutzung
|
||||
- **Monatliches Limit** — 60 $ Nutzung
|
||||
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie MiMo-V2.5 erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anzahl deiner Anfragen von dem von dir genutzten Modell abhängt. Günstigere Modelle wie DeepSeek V4 Flash erlauben mehr Anfragen, während teurere Modelle wie GLM-5.2 weniger erlauben.
|
||||
|
||||
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
|
||||
|
||||
@@ -91,7 +90,6 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| ----------------- | ---------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -105,19 +103,19 @@ Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf ty
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Die Schätzungen basieren auf beobachteten Anfragemustern:
|
||||
|
||||
- Grok 4.5 — 1.100 Input-, 71.500 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- GLM-5.3/5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GLM-5.2/5.1 — 700 Input-, 52.000 Cached-, 150 Output-Tokens pro Anfrage
|
||||
- GPT 5.6 Luna — 1.000 Input-, 50.000 Cached-, 220 Output-Tokens pro Anfrage
|
||||
- Kimi K3 — 1.050 Input-, 76.500 Cached-, 300 Output-Tokens pro Anfrage
|
||||
- Kimi K2.7/K2.6 — 870 Input-, 55.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 410 Input-, 71.300 Cached-, 310 Output-Tokens pro Anfrage
|
||||
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
|
||||
- MiniMax M3 — 510 Input-, 56.000 Cached-, 190 Output-Tokens pro Anfrage
|
||||
- MiniMax M2.7 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
|
||||
- Qwen3.8 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
|
||||
@@ -135,7 +133,6 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -152,14 +149,10 @@ Die Schätzungen basieren außerdem auf den folgenden Preisen pro 1M Tokens und
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kannst deine aktuelle Nutzung in der **<a href={console}>Console</a>** verfolgen.
|
||||
|
||||
:::tip
|
||||
@@ -196,7 +189,6 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -235,7 +227,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | --------------- | ----------------- |
|
||||
| Grok 4.5 | Nicht verwendet | 30 Tage |
|
||||
| GPT 5.6 Luna | Nicht verwendet | 30 Tage |
|
||||
| GLM-5.3 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.2 | Nicht verwendet | 0 Tage |
|
||||
| GLM-5.1 | Nicht verwendet | 0 Tage |
|
||||
| Kimi K3 | Nicht verwendet | 0 Tage |
|
||||
|
||||
@@ -81,7 +81,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -90,7 +89,6 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -156,10 +154,8 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -171,7 +167,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -183,7 +178,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -210,8 +204,6 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Die Peak-Zeiten sind 01:00-04:00 und 06:00-10:00 UTC; alle anderen Zeiten sind Off-Peak. [Mehr erfahren](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Möglicherweise siehst du [kostengünstige Modelle](/docs/config/#models) wie Haiku, Nano oder Flash in deinem Nutzungsverlauf. OpenCode verwendet diese Modelle, um Session-Titel zu generieren.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -60,7 +60,6 @@ Solo un miembro por espacio de trabajo puede suscribirse a OpenCode Go.
|
||||
La lista actual de modelos incluye:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go incluye los siguientes límites:
|
||||
- **Límite semanal** — $30 de uso
|
||||
- **Límite mensual** — $60 de uso
|
||||
|
||||
Los límites se definen en valor en dólares. Esto significa que tu cantidad real de peticiones depende del modelo que uses. Los modelos más económicos como MiMo-V2.5 permiten más peticiones, mientras que los modelos de mayor costo como GLM-5.2 permiten menos.
|
||||
Los límites se definen en valor en dólares. Esto significa que tu cantidad real de peticiones depende del modelo que uses. Los modelos más económicos como DeepSeek V4 Flash permiten más peticiones, mientras que los modelos de mayor costo como GLM-5.2 permiten menos.
|
||||
|
||||
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
|
||||
|
||||
@@ -99,7 +98,6 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
||||
| ----------------- | ---------------------- | --------------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ La siguiente tabla proporciona una cantidad estimada de peticiones basada en los
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Las estimaciones se basan en los patrones de peticiones observados:
|
||||
|
||||
- Grok 4.5 — 1,100 tokens de entrada, 71,500 en caché, 220 tokens de salida por petición
|
||||
- GLM-5.3/5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
|
||||
- GLM-5.2/5.1 — 700 tokens de entrada, 52,000 en caché, 150 tokens de salida por petición
|
||||
- GPT 5.6 Luna — 1,000 tokens de entrada, 50,000 en caché, 220 tokens de salida por petición
|
||||
- Kimi K3 — 1,050 tokens de entrada, 76,500 en caché, 300 tokens de salida por petición
|
||||
- Kimi K2.7/K2.6 — 870 tokens de entrada, 55,000 en caché, 200 tokens de salida por petición
|
||||
- DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
|
||||
- DeepSeek V4 Flash — 410 tokens de entrada, 71,300 en caché, 310 tokens de salida por petición
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
|
||||
- MiniMax M3 — 510 tokens de entrada, 56,000 en caché, 190 tokens de salida por petición
|
||||
- MiniMax M2.7 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
|
||||
@@ -143,7 +141,6 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Las estimaciones también se basan en los siguientes precios por 1M tokens y en
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Las horas Peak son 01:00-04:00 y 06:00-10:00 UTC; todas las demás horas son Off-Peak. [Más información](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puedes realizar un seguimiento de tu uso actual en la **<a href={console}>consola</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------ | ------------------ |
|
||||
| Grok 4.5 | No utilizado | 30 días |
|
||||
| GPT 5.6 Luna | No utilizado | 30 días |
|
||||
| GLM-5.3 | No utilizado | 0 días |
|
||||
| GLM-5.2 | No utilizado | 0 días |
|
||||
| GLM-5.1 | No utilizado | 0 días |
|
||||
| Kimi K3 | No utilizado | 0 días |
|
||||
|
||||
@@ -90,7 +90,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Las horas Peak son 01:00-04:00 y 06:00-10:00 UTC; todas las demás horas son Off-Peak. [Más información](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puede que notes [modelos de bajo costo](/docs/config/#models), como Haiku, Nano o Flash, en tu historial de uso. OpenCode usa estos modelos para generar títulos de sesiones.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -50,7 +50,6 @@ Un seul membre par espace de travail peut s'abonner à OpenCode Go.
|
||||
La liste actuelle des modèles comprend :
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -81,7 +80,7 @@ OpenCode Go inclut les limites suivantes :
|
||||
- **Limite hebdomadaire** — 30 $ d'utilisation
|
||||
- **Limite mensuelle** — 60 $ d'utilisation
|
||||
|
||||
Les limites sont définies en valeur monétaire (dollars). Cela signifie que votre nombre réel de requêtes dépend du modèle que vous utilisez. Les modèles moins chers comme MiMo-V2.5 permettent plus de requêtes, tandis que les modèles plus coûteux comme GLM-5.2 en permettent moins.
|
||||
Les limites sont définies en valeur monétaire (dollars). Cela signifie que votre nombre réel de requêtes dépend du modèle que vous utilisez. Les modèles moins chers comme DeepSeek V4 Flash permettent plus de requêtes, tandis que les modèles plus coûteux comme GLM-5.2 en permettent moins.
|
||||
|
||||
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
|
||||
|
||||
@@ -89,7 +88,6 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
||||
| ----------------- | --------------------- | -------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -103,19 +101,19 @@ Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur d
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Les estimations sont basées sur les schémas de requêtes observés :
|
||||
|
||||
- Grok 4.5 — 1,100 tokens en entrée, 71,500 en cache, 220 tokens en sortie par requête
|
||||
- GLM-5.3/5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
|
||||
- GLM-5.2/5.1 — 700 tokens en entrée, 52,000 en cache, 150 tokens en sortie par requête
|
||||
- GPT 5.6 Luna — 1,000 tokens en entrée, 50,000 en cache, 220 tokens en sortie par requête
|
||||
- Kimi K3 — 1,050 tokens en entrée, 76,500 en cache, 300 tokens en sortie par requête
|
||||
- Kimi K2.7/K2.6 — 870 tokens en entrée, 55,000 en cache, 200 tokens en sortie par requête
|
||||
- DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
|
||||
- DeepSeek V4 Flash — 410 tokens en entrée, 71,300 en cache, 310 tokens en sortie par requête
|
||||
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
|
||||
- MiniMax M3 — 510 tokens en entrée, 56,000 en cache, 190 tokens en sortie par requête
|
||||
- MiniMax M2.7 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
|
||||
- Qwen3.8 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
|
||||
@@ -133,7 +131,6 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -150,14 +147,10 @@ Les estimations sont également basées sur les prix suivants par 1M tokens et s
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Les heures Peak sont 01:00-04:00 et 06:00-10:00 UTC ; toutes les autres heures sont Off-Peak. [En savoir plus](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Vous pouvez suivre votre utilisation actuelle dans la **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -194,7 +187,6 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------ | ------------------------ |
|
||||
| Grok 4.5 | Non utilisé | 30 jours |
|
||||
| GPT 5.6 Luna | Non utilisé | 30 jours |
|
||||
| GLM-5.3 | Non utilisé | 0 jour |
|
||||
| GLM-5.2 | Non utilisé | 0 jour |
|
||||
| GLM-5.1 | Non utilisé | 0 jour |
|
||||
| Kimi K3 | Non utilisé | 0 jour |
|
||||
|
||||
@@ -81,7 +81,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -90,7 +89,6 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -156,10 +154,8 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -171,7 +167,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -183,7 +178,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -210,8 +204,6 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Les heures Peak sont 01:00-04:00 et 06:00-10:00 UTC ; toutes les autres heures sont Off-Peak. [En savoir plus](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Vous remarquerez peut-être des [modèles à faible coût](/docs/config/#models), tels que Haiku, Nano ou Flash, dans votre historique d'utilisation. OpenCode utilise ces modèles pour générer les titres des sessions.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -60,7 +60,6 @@ Only one member per workspace can subscribe to OpenCode Go.
|
||||
The current list of models includes:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go includes the following limits:
|
||||
- **Weekly limit** — $30 of usage
|
||||
- **Monthly limit** — $60 of usage
|
||||
|
||||
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like MiMo-V2.5 allow for more requests, while higher-cost models like GLM-5.2 allow for fewer.
|
||||
Limits are defined in dollar value. This means your actual request count depends on the model you use. Cheaper models like DeepSeek V4 Flash allow for more requests, while higher-cost models like GLM-5.2 allow for fewer.
|
||||
|
||||
The table below provides an estimated request count based on typical Go usage patterns:
|
||||
|
||||
@@ -99,7 +98,6 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| ----------------- | ------------------- | ----------------- | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ The table below provides an estimated request count based on typical Go usage pa
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
The estimates are based on observed request patterns:
|
||||
|
||||
- Grok 4.5 — 1,100 input, 71,500 cached, 220 output tokens per request
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
|
||||
- GLM-5.2/5.1 — 700 input, 52,000 cached, 150 output tokens per request
|
||||
- GPT 5.6 Luna — 1,000 input, 50,000 cached, 220 output tokens per request
|
||||
- Kimi K3 — 1,050 input, 76,500 cached, 300 output tokens per request
|
||||
- Kimi K2.7/K2.6 — 870 input, 55,000 cached, 200 output tokens per request
|
||||
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
|
||||
- DeepSeek V4 Flash — 410 input, 71,300 cached, 310 output tokens per request
|
||||
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
|
||||
- MiniMax M3 — 510 input, 56,000 cached, 190 output tokens per request
|
||||
- MiniMax M2.7 — 300 input, 55,000 cached, 125 output tokens per request
|
||||
- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
|
||||
@@ -143,7 +141,6 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ The estimates are also based on the following prices per 1M tokens and the month
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak hours are 01:00-04:00 and 06:00-10:00 UTC; all other hours are Off-Peak. [Learn more](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
You can track your current usage in the **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ You can also access Go models through the following API endpoints.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | Not used | 30 days |
|
||||
| GPT 5.6 Luna | Not used | 30 days |
|
||||
| GLM-5.3 | Not used | 0 days |
|
||||
| GLM-5.2 | Not used | 0 days |
|
||||
| GLM-5.1 | Not used | 0 days |
|
||||
| Kimi K3 | Not used | 0 days |
|
||||
|
||||
@@ -58,7 +58,6 @@ Solo un membro per workspace può abbonarsi a OpenCode Go.
|
||||
L'elenco attuale dei modelli include:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -89,7 +88,7 @@ OpenCode Go include i seguenti limiti:
|
||||
- **Limite settimanale** — 30 $ di utilizzo
|
||||
- **Limite mensile** — 60 $ di utilizzo
|
||||
|
||||
I limiti sono definiti in valore in dollari. Questo significa che il conteggio effettivo delle richieste dipende dal modello utilizzato. Modelli più economici come MiMo-V2.5 consentono più richieste, mentre modelli più costosi come GLM-5.2 ne consentono di meno.
|
||||
I limiti sono definiti in valore in dollari. Questo significa che il conteggio effettivo delle richieste dipende dal modello utilizzato. Modelli più economici come DeepSeek V4 Flash consentono più richieste, mentre modelli più costosi come GLM-5.2 ne consentono di meno.
|
||||
|
||||
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
|
||||
|
||||
@@ -97,7 +96,6 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
||||
| ----------------- | -------------------- | --------------------- | ----------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -111,19 +109,19 @@ La tabella seguente fornisce una stima del conteggio delle richieste in base a p
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Le stime si basano sui pattern di richieste osservati:
|
||||
|
||||
- Grok 4.5 — 1.100 di input, 71.500 in cache, 220 token di output per richiesta
|
||||
- GLM-5.3/5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
|
||||
- GLM-5.2/5.1 — 700 di input, 52.000 in cache, 150 token di output per richiesta
|
||||
- GPT 5.6 Luna — 1.000 token di input, 50.000 in cache, 220 token di output per richiesta
|
||||
- Kimi K3 — 1.050 di input, 76.500 in cache, 300 token di output per richiesta
|
||||
- Kimi K2.7/K2.6 — 870 di input, 55.000 in cache, 200 token di output per richiesta
|
||||
- DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
|
||||
- DeepSeek V4 Flash — 410 di input, 71.300 in cache, 310 token di output per richiesta
|
||||
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
|
||||
- MiniMax M3 — 510 di input, 56.000 in cache, 190 token di output per richiesta
|
||||
- MiniMax M2.7 — 300 di input, 55.000 in cache, 125 token di output per richiesta
|
||||
- Qwen3.8 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
|
||||
@@ -141,7 +139,6 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -158,14 +155,10 @@ Le stime si basano anche sui seguenti prezzi per 1M token e sull'utilizzo mensil
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Gli orari Peak sono 01:00-04:00 e 06:00-10:00 UTC; tutti gli altri orari sono Off-Peak. [Scopri di più](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Puoi monitorare il tuo utilizzo attuale nella **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -204,7 +197,6 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -245,7 +237,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------------------- | ---------------------- |
|
||||
| Grok 4.5 | Non utilizzato | 30 giorni |
|
||||
| GPT 5.6 Luna | Non utilizzato | 30 giorni |
|
||||
| GLM-5.3 | Non utilizzato | 0 giorni |
|
||||
| GLM-5.2 | Non utilizzato | 0 giorni |
|
||||
| GLM-5.1 | Non utilizzato | 0 giorni |
|
||||
| Kimi K3 | Non utilizzato | 0 giorni |
|
||||
|
||||
@@ -90,7 +90,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Gli orari Peak sono 01:00-04:00 e 06:00-10:00 UTC; tutti gli altri orari sono Off-Peak. [Scopri di più](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Potresti notare [modelli a basso costo](/docs/config/#models), come Haiku, Nano o Flash, nella cronologia di utilizzo. OpenCode usa questi modelli per generare i titoli delle sessioni.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -50,7 +50,6 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
|
||||
現在のモデルリストには以下が含まれます：
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -81,7 +80,7 @@ OpenCode Goには以下の制限が含まれています：
|
||||
- **週間の制限** — 30ドル分の利用
|
||||
- **月間の制限** — 60ドル分の利用
|
||||
|
||||
制限はドル単位で定義されています。つまり、実際のリクエスト数は使用するモデルによって異なります。MiMo-V2.5のような安価なモデルではより多くのリクエストが可能ですが、GLM-5.2のような高コストのモデルではリクエスト数が少なくなります。
|
||||
制限はドル単位で定義されています。つまり、実際のリクエスト数は使用するモデルによって異なります。DeepSeek V4 Flashのような安価なモデルではより多くのリクエストが可能ですが、GLM-5.2のような高コストのモデルではリクエスト数が少なくなります。
|
||||
|
||||
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています：
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| ----------------- | ------------------------- | ---------------- | ---------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
推定値は、観測されたリクエストパターンに基づいています：
|
||||
|
||||
- Grok 4.5 — リクエストあたり 入力 1,100トークン、キャッシュ 71,500トークン、出力 220トークン
|
||||
- GLM-5.3/5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
|
||||
- GLM-5.2/5.1 — リクエストあたり 入力 700トークン、キャッシュ 52,000トークン、出力 150トークン
|
||||
- GPT 5.6 Luna — リクエストあたり 入力 1,000トークン、キャッシュ 50,000トークン、出力 220トークン
|
||||
- Kimi K3 — リクエストあたり 入力 1,050トークン、キャッシュ 76,500トークン、出力 300トークン
|
||||
- Kimi K2.7/K2.6 — リクエストあたり 入力 870トークン、キャッシュ 55,000トークン、出力 200トークン
|
||||
- DeepSeek V4 Pro — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 410トークン、キャッシュ 71,300トークン、出力 310トークン
|
||||
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
|
||||
- MiniMax M3 — リクエストあたり 入力 510トークン、キャッシュ 56,000トークン、出力 190トークン
|
||||
- MiniMax M2.7 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
|
||||
- Qwen3.8 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
|
||||
@@ -133,7 +131,6 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Goには以下の制限が含まれています：
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak時間は01:00-04:00と06:00-10:00 UTCで、それ以外の時間はすべてOff-Peakです。[詳しく見る](https://api-docs.deepseek.com/quick_start/pricing/)。
|
||||
|
||||
現在の利用状況は**<a href={console}>コンソール</a>**で追跡できます。
|
||||
|
||||
:::tip
|
||||
@@ -194,7 +187,6 @@ Goでは月額$10を支払い、その6倍の利用枠を提供することを
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | -------------------- | ---------- |
|
||||
| Grok 4.5 | 使用なし | 30日 |
|
||||
| GPT 5.6 Luna | 使用なし | 30日 |
|
||||
| GLM-5.3 | 使用なし | 0日 |
|
||||
| GLM-5.2 | 使用なし | 0日 |
|
||||
| GLM-5.1 | 使用なし | 0日 |
|
||||
| Kimi K3 | 使用なし | 0日 |
|
||||
|
||||
@@ -81,7 +81,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -90,7 +89,6 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -156,10 +154,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -171,7 +167,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -183,7 +178,6 @@ https://opencode.ai/zen/v1/models
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -210,8 +204,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak時間は01:00-04:00と06:00-10:00 UTCで、それ以外の時間はすべてOff-Peakです。[詳しく見る](https://api-docs.deepseek.com/quick_start/pricing/)。
|
||||
|
||||
使用履歴に Haiku、Nano、Flash などの[低コストモデル](/docs/config/#models)が表示されることがあります。OpenCode はこれらのモデルをセッションタイトルの生成に使用します。
|
||||
|
||||
:::note
|
||||
|
||||
@@ -50,7 +50,6 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
|
||||
현재 모델 목록에는 다음이 포함됩니다.
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -81,7 +80,7 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
- **주간 한도** — 사용량 $30
|
||||
- **월간 한도** — 사용량 $60
|
||||
|
||||
한도는 달러 금액 기준으로 정의됩니다. 즉, 실제 요청 횟수는 사용하는 모델에 따라 달라집니다. MiMo-V2.5처럼 저렴한 모델은 더 많은 요청이 가능하고, GLM-5.2처럼 비용이 더 높은 모델은 더 적은 요청이 가능합니다.
|
||||
한도는 달러 금액 기준으로 정의됩니다. 즉, 실제 요청 횟수는 사용하는 모델에 따라 달라집니다. DeepSeek V4 Flash처럼 저렴한 모델은 더 많은 요청이 가능하고, GLM-5.2처럼 비용이 더 높은 모델은 더 적은 요청이 가능합니다.
|
||||
|
||||
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
|
||||
|
||||
@@ -89,7 +88,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| ----------------- | ----------------- | -------------- | -------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -103,19 +101,19 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
이 예상치는 관찰된 요청 패턴을 기준으로 합니다.
|
||||
|
||||
- Grok 4.5 — 요청당 입력 1,100, 캐시 71,500, 출력 토큰 220
|
||||
- GLM-5.3/5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
|
||||
- GLM-5.2/5.1 — 요청당 입력 700, 캐시 52,000, 출력 토큰 150
|
||||
- GPT 5.6 Luna — 요청당 입력 토큰 1,000개, 캐시 토큰 50,000개, 출력 토큰 220개
|
||||
- Kimi K3 — 요청당 입력 1,050, 캐시 76,500, 출력 토큰 300
|
||||
- Kimi K2.7/K2.6 — 요청당 입력 870, 캐시 55,000, 출력 토큰 200
|
||||
- DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
|
||||
- DeepSeek V4 Flash — 요청당 입력 410, 캐시 71,300, 출력 토큰 310
|
||||
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
|
||||
- MiniMax M3 — 요청당 입력 510, 캐시 56,000, 출력 토큰 190
|
||||
- MiniMax M2.7 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
|
||||
- Qwen3.8 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
|
||||
@@ -133,7 +131,6 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -150,14 +147,10 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak 시간은 01:00-04:00 및 06:00-10:00 UTC이며, 그 외 모든 시간은 Off-Peak입니다. [자세히 알아보기](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
현재 사용량은 **<a href={console}>console</a>**에서 확인할 수 있습니다.
|
||||
|
||||
:::tip
|
||||
@@ -194,7 +187,6 @@ Go에서는 월 $10를 지불하며, 저희는 그 6배의 사용량을 제공
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -233,7 +225,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------- | ----------- |
|
||||
| Grok 4.5 | 사용되지 않음 | 30일 |
|
||||
| GPT 5.6 Luna | 사용되지 않음 | 30일 |
|
||||
| GLM-5.3 | 사용되지 않음 | 0일 |
|
||||
| GLM-5.2 | 사용되지 않음 | 0일 |
|
||||
| GLM-5.1 | 사용되지 않음 | 0일 |
|
||||
| Kimi K3 | 사용되지 않음 | 0일 |
|
||||
|
||||
@@ -81,7 +81,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -90,7 +89,6 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -156,10 +154,8 @@ https://opencode.ai/zen/v1/models
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -171,7 +167,6 @@ https://opencode.ai/zen/v1/models
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -183,7 +178,6 @@ https://opencode.ai/zen/v1/models
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -210,8 +204,6 @@ https://opencode.ai/zen/v1/models
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak 시간은 01:00-04:00 및 06:00-10:00 UTC이며, 그 외 모든 시간은 Off-Peak입니다. [자세히 알아보기](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
사용 기록에서 Haiku, Nano 또는 Flash와 같은 [저비용 모델](/docs/config/#models)을 볼 수 있습니다. OpenCode는 이러한 모델을 사용해 세션 제목을 생성합니다.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -60,7 +60,6 @@ Kun ett medlem per arbeidsområde kan abonnere på OpenCode Go.
|
||||
Den nåværende listen over modeller inkluderer:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ OpenCode Go inkluderer følgende grenser:
|
||||
- **Ukentlig grense** — $30 i bruk
|
||||
- **Månedlig grense** — $60 i bruk
|
||||
|
||||
Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespørsler avhenger av modellen du bruker. Billigere modeller som MiMo-V2.5 tillater flere forespørsler, mens dyrere modeller som GLM-5.2 tillater færre.
|
||||
Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespørsler avhenger av modellen du bruker. Billigere modeller som DeepSeek V4 Flash tillater flere forespørsler, mens dyrere modeller som GLM-5.2 tillater færre.
|
||||
|
||||
Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksmønstre for Go:
|
||||
|
||||
@@ -99,7 +98,6 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
|
||||
| ----------------- | ------------------------ | -------------------- | ---------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksm
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Estimatene er basert på observerte forespørselsmønstre:
|
||||
|
||||
- Grok 4.5 — 1 100 input, 71 500 bufret, 220 output-tokens per forespørsel
|
||||
- GLM-5.3/5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
|
||||
- GLM-5.2/5.1 — 700 input, 52 000 bufret, 150 output-tokens per forespørsel
|
||||
- GPT 5.6 Luna — 1 000 input, 50 000 bufret, 220 output-tokens per forespørsel
|
||||
- Kimi K3 — 1 050 input, 76 500 bufret, 300 output-tokens per forespørsel
|
||||
- Kimi K2.7/K2.6 — 870 input, 55 000 bufret, 200 output-tokens per forespørsel
|
||||
- DeepSeek V4 Pro — 750 input, 82 000 bufret, 290 output-tokens per forespørsel
|
||||
- DeepSeek V4 Flash — 410 input, 71 300 bufret, 310 output-tokens per forespørsel
|
||||
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
|
||||
- MiniMax M3 — 510 input, 56 000 bufret, 190 output-tokens per forespørsel
|
||||
- MiniMax M2.7 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
|
||||
- Qwen3.8 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
|
||||
@@ -143,7 +141,6 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ Estimatene er også basert på følgende priser per 1M tokens og den månedlige
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tidene er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Les mer](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du kan spore din nåværende bruk i **<a href={console}>konsollen</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ------------- | --------------- |
|
||||
| Grok 4.5 | Brukes ikke | 30 dager |
|
||||
| GPT 5.6 Luna | Brukes ikke | 30 dager |
|
||||
| GLM-5.3 | Brukes ikke | 0 dager |
|
||||
| GLM-5.2 | Brukes ikke | 0 dager |
|
||||
| GLM-5.1 | Brukes ikke | 0 dager |
|
||||
| Kimi K3 | Brukes ikke | 0 dager |
|
||||
|
||||
@@ -90,7 +90,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Peak-tidene er 01:00-04:00 og 06:00-10:00 UTC; alle andre tider er Off-Peak. [Les mer](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Du vil kanskje legge merke til [lavprismodeller](/docs/config/#models), som Haiku, Nano eller Flash, i brukshistorikken din. OpenCode bruker disse modellene til å generere økttitler.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -54,7 +54,6 @@ Tylko jeden członek na obszar roboczy (workspace) może zasubskrybować OpenCod
|
||||
Obecna lista modeli obejmuje:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -85,7 +84,7 @@ OpenCode Go zawiera następujące limity:
|
||||
- **Limit tygodniowy** — użycie o wartości 30 $
|
||||
- **Limit miesięczny** — użycie o wartości 60 $
|
||||
|
||||
Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista liczba żądań zależy od używanego modelu. Tańsze modele, takie jak MiMo-V2.5, pozwalają na więcej żądań, podczas gdy modele o wyższym koszcie, takie jak GLM-5.2, pozwalają na mniej.
|
||||
Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista liczba żądań zależy od używanego modelu. Tańsze modele, takie jak DeepSeek V4 Flash, pozwalają na więcej żądań, podczas gdy modele o wyższym koszcie, takie jak GLM-5.2, pozwalają na mniej.
|
||||
|
||||
Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych wzorców korzystania z Go:
|
||||
|
||||
@@ -93,7 +92,6 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
||||
| ----------------- | ------------------- | ------------------ | ------------------ |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -107,19 +105,19 @@ Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
Szacunki te opierają się na zaobserwowanych wzorcach żądań:
|
||||
|
||||
- Grok 4.5 — 1 100 tokenów wejściowych, 71 500 w pamięci podręcznej, 220 tokenów wyjściowych na żądanie
|
||||
- GLM-5.3/5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
|
||||
- GLM-5.2/5.1 — 700 tokenów wejściowych, 52 000 w pamięci podręcznej, 150 tokenów wyjściowych na żądanie
|
||||
- GPT 5.6 Luna — 1 000 tokenów wejściowych, 50 000 w pamięci podręcznej, 220 tokenów wyjściowych na żądanie
|
||||
- Kimi K3 — 1 050 tokenów wejściowych, 76 500 w pamięci podręcznej, 300 tokenów wyjściowych na żądanie
|
||||
- Kimi K2.7/K2.6 — 870 tokenów wejściowych, 55 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
- DeepSeek V4 Pro — 750 tokenów wejściowych, 82 000 w pamięci podręcznej, 290 tokenów wyjściowych na żądanie
|
||||
- DeepSeek V4 Flash — 410 tokenów wejściowych, 71 300 w pamięci podręcznej, 310 tokenów wyjściowych na żądanie
|
||||
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
|
||||
- MiniMax M3 — 510 tokenów wejściowych, 56 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
|
||||
- MiniMax M2.7 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
|
||||
- Qwen3.8 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
|
||||
@@ -137,7 +135,6 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -154,14 +151,10 @@ Szacunki opierają się również na następujących cenach za 1M tokenów oraz
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Godziny Peak to 01:00-04:00 i 06:00-10:00 UTC; wszystkie pozostałe godziny to Off-Peak. [Dowiedz się więcej](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Możesz śledzić swoje bieżące zużycie w **<a href={console}>konsoli</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -198,7 +191,6 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -239,7 +231,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ----------------- | --------------- |
|
||||
| Grok 4.5 | Niewykorzystywane | 30 dni |
|
||||
| GPT 5.6 Luna | Niewykorzystywane | 30 dni |
|
||||
| GLM-5.3 | Niewykorzystywane | 0 dni |
|
||||
| GLM-5.2 | Niewykorzystywane | 0 dni |
|
||||
| GLM-5.1 | Niewykorzystywane | 0 dni |
|
||||
| Kimi K3 | Niewykorzystywane | 0 dni |
|
||||
|
||||
@@ -90,7 +90,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
|
||||
| Claude Sonnet 4.6 | claude-sonnet-4-6 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Sonnet 4.5 | claude-sonnet-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Claude Haiku 4.5 | claude-haiku-4-5 | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Gemini 3.7 Flash | gemini-3.7-flash | `https://opencode.ai/zen/v1/models/gemini-3.7-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.6 Flash | gemini-3.6-flash | `https://opencode.ai/zen/v1/models/gemini-3.6-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash | gemini-3.5-flash | `https://opencode.ai/zen/v1/models/gemini-3.5-flash` | `@ai-sdk/google` |
|
||||
| Gemini 3.5 Flash Lite | gemini-3.5-flash-lite | `https://opencode.ai/zen/v1/models/gemini-3.5-flash-lite` | `@ai-sdk/google` |
|
||||
@@ -99,7 +98,6 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
|
||||
| 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` |
|
||||
| Muse Spark 1.2 | muse-spark-1.2 | `https://opencode.ai/zen/v1/responses` | `@ai-sdk/openai` |
|
||||
| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.7 Plus | qwen3.7-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
|
||||
@@ -167,10 +165,8 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
|
||||
| Qwen3.7 Plus | $0.40 | $1.60 | $0.04 | $0.50 |
|
||||
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
|
||||
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - |
|
||||
| DeepSeek V4 Pro | $1.74 | $3.48 | $0.145 | - |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.028 | - |
|
||||
| Claude Fable 5 | $10.00 | $50.00 | $1.00 | $12.50 |
|
||||
| Claude Opus 5 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
| Claude Opus 4.8 | $5.00 | $25.00 | $0.50 | $6.25 |
|
||||
@@ -182,7 +178,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
|
||||
| Claude Sonnet 4.5 (≤ 200K tokens) | $3.00 | $15.00 | $0.30 | $3.75 |
|
||||
| Claude Sonnet 4.5 (> 200K tokens) | $6.00 | $22.50 | $0.60 | $7.50 |
|
||||
| Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | $1.25 |
|
||||
| Gemini 3.7 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.6 Flash | $1.50 | $7.50 | $0.15 | - |
|
||||
| Gemini 3.5 Flash | $1.50 | $9.00 | $0.15 | - |
|
||||
| Gemini 3.5 Flash Lite | $0.30 | $2.50 | $0.03 | - |
|
||||
@@ -194,7 +189,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
|
||||
| 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 | - |
|
||||
| Muse Spark 1.2 | $1.25 | $4.25 | $0.15 | - |
|
||||
| GPT 5.6 Sol (≤ 272K tokens) | $5.00 | $30.00 | $0.50 | $6.25 |
|
||||
| GPT 5.6 Sol (> 272K tokens) | $10.00 | $45.00 | $1.00 | $12.50 |
|
||||
| GPT 5.6 Terra (≤ 272K tokens) | $2.00 | $12.00 | $0.20 | $2.50 |
|
||||
@@ -221,8 +215,6 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
|
||||
| GPT 5 Codex | $1.07 | $8.50 | $0.107 | - |
|
||||
| GPT 5 Nano | $0.05 | $0.40 | $0.005 | - |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Godziny Peak to 01:00-04:00 i 06:00-10:00 UTC; wszystkie pozostałe godziny to Off-Peak. [Dowiedz się więcej](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
W historii użycia możesz zauważyć [niedrogie modele](/docs/config/#models), takie jak Haiku, Nano lub Flash. OpenCode używa tych modeli do generowania tytułów sesji.
|
||||
|
||||
:::note
|
||||
|
||||
@@ -1718,10 +1718,6 @@ We recommend signing up for [ChatGPT Plus or Pro](https://chatgpt.com/pricing).
|
||||
/models
|
||||
```
|
||||
|
||||
##### Compute residency
|
||||
|
||||
For ChatGPT OAuth, OpenCode automatically applies a regional inference residency requirement when one is advertised by your workspace credentials. It forwards the compute residency value from the credential instead of maintaining a fixed list of regions. Data residency at rest does not imply regional inference.
|
||||
|
||||
##### Using API keys
|
||||
|
||||
If you already have an API key, you can select **Manually enter API Key** and paste it in your terminal.
|
||||
@@ -2097,35 +2093,6 @@ To use [Scaleway Generative APIs](https://www.scaleway.com/en/docs/generative-ap
|
||||
|
||||
---
|
||||
|
||||
### SCX.ai
|
||||
|
||||
[SCX.ai](https://scx.ai) is an Australian sovereign AI platform serving open models over an OpenAI-compatible API, hosted on renewable-powered infrastructure in Australia.
|
||||
|
||||
1. Head over to the [SCX.ai platform](https://platform.scx.ai) to create an account and generate an API key.
|
||||
|
||||
2. Run the `/connect` command and search for **SCX.ai**.
|
||||
|
||||
```txt
|
||||
/connect
|
||||
```
|
||||
|
||||
3. Enter your SCX.ai API key.
|
||||
|
||||
```txt
|
||||
┌ API key
|
||||
│
|
||||
│
|
||||
└ enter
|
||||
```
|
||||
|
||||
4. Run the `/models` command to select a model like _MiniMax-M2.7_ or _GLM-5.2_.
|
||||
|
||||
```txt
|
||||
/models
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### Snowflake Cortex
|
||||
|
||||
[Snowflake Cortex](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-rest-api) gives you access to frontier models (Claude, OpenAI GPT-5, and more) via an OpenAI-compatible API. All inference runs within the Snowflake perimeter and is billed in Snowflake credits. For per-model rates, see the [Snowflake Service Consumption Table](https://www.snowflake.com/legal-files/CreditConsumptionTable.pdf).
|
||||
|
||||
@@ -60,7 +60,6 @@ Apenas um membro por workspace pode assinar o OpenCode Go.
|
||||
A lista atual de modelos inclui:
|
||||
|
||||
- **Grok 4.5**
|
||||
- **GLM-5.3**
|
||||
- **GLM-5.2**
|
||||
- **GLM-5.1**
|
||||
- **GPT 5.6 Luna**
|
||||
@@ -91,7 +90,7 @@ O OpenCode Go inclui os seguintes limites:
|
||||
- **Limite semanal** — US$ 30 de uso
|
||||
- **Limite mensal** — US$ 60 de uso
|
||||
|
||||
Os limites são definidos em valor em dólares. Isso significa que a sua contagem real de requisições depende do modelo que você usa. Modelos mais baratos como o MiMo-V2.5 permitem mais requisições, enquanto modelos de custo mais alto como o GLM-5.2 permitem menos.
|
||||
Os limites são definidos em valor em dólares. Isso significa que a sua contagem real de requisições depende do modelo que você usa. Modelos mais baratos como o DeepSeek V4 Flash permitem mais requisições, enquanto modelos de custo mais alto como o GLM-5.2 permitem menos.
|
||||
|
||||
A tabela abaixo fornece uma contagem estimada de requisições com base nos padrões típicos de uso do Go:
|
||||
|
||||
@@ -99,7 +98,6 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
|
||||
| ----------------- | ----------------------- | ---------------------- | ------------------- |
|
||||
| Grok 4.5 | 120 | 300 | 600 |
|
||||
| GPT 5.6 Luna | 2,050 | 5,100 | 10,250 |
|
||||
| GLM-5.3 | 220 | 540 | 1,080 |
|
||||
| GLM-5.2 | 880 | 2,150 | 4,300 |
|
||||
| GLM-5.1 | 880 | 2,150 | 4,300 |
|
||||
| Kimi K3 | 110 | 250 | 490 |
|
||||
@@ -113,19 +111,19 @@ A tabela abaixo fornece uma contagem estimada de requisições com base nos padr
|
||||
| Qwen3.7 Max | 340 | 840 | 1,690 |
|
||||
| Qwen3.7 Plus | 4,300 | 10,800 | 21,600 |
|
||||
| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
|
||||
| DeepSeek V4 Pro | 1,050 | 2,600 | 5,200 |
|
||||
| DeepSeek V4 Flash | 7,600 | 18,900 | 37,800 |
|
||||
| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
|
||||
| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
|
||||
| Hy3 | 4,300 | 10,750 | 21,500 |
|
||||
|
||||
As estimativas se baseiam nos padrões de requisições observados:
|
||||
|
||||
- Grok 4.5 — 1.100 tokens de entrada, 71.500 em cache, 220 tokens de saída por requisição
|
||||
- GLM-5.3/5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
|
||||
- GLM-5.2/5.1 — 700 tokens de entrada, 52.000 em cache, 150 tokens de saída por requisição
|
||||
- GPT 5.6 Luna — 1.000 tokens de entrada, 50.000 em cache, 220 tokens de saída por requisição
|
||||
- Kimi K3 — 1.050 tokens de entrada, 76.500 em cache, 300 tokens de saída por requisição
|
||||
- Kimi K2.7/K2.6 — 870 tokens de entrada, 55.000 em cache, 200 tokens de saída por requisição
|
||||
- DeepSeek V4 Pro — 750 tokens de entrada, 82.000 em cache, 290 tokens de saída por requisição
|
||||
- DeepSeek V4 Flash — 410 tokens de entrada, 71.300 em cache, 310 tokens de saída por requisição
|
||||
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
|
||||
- MiniMax M3 — 510 tokens de entrada, 56.000 em cache, 190 tokens de saída por requisição
|
||||
- MiniMax M2.7 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
|
||||
- Qwen3.8 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
|
||||
@@ -143,7 +141,6 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
|
||||
| Grok 4.5 | $2.00 | $6.00 | $0.30 | - | $15 |
|
||||
| GPT 5.6 Luna (≤ 272K tokens) | $0.20 | $1.20 | $0.02 | $0.25 | $15 |
|
||||
| GPT 5.6 Luna (> 272K tokens) | $0.40 | $1.80 | $0.04 | $0.50 | $15 |
|
||||
| GLM-5.3 | $1.40 | $4.40 | $0.26 | - | $15 |
|
||||
| GLM-5.2 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| GLM-5.1 | $1.40 | $4.40 | $0.26 | - | $60 |
|
||||
| Kimi K3 | $3.00 | $15.00 | $0.30 | - | $15 |
|
||||
@@ -160,14 +157,10 @@ As estimativas também se baseiam nos seguintes preços por 1M tokens e no uso m
|
||||
| Qwen3.7 Plus (> 256K tokens) | $1.20 | $4.80 | $0.12 | $1.50 | $60 |
|
||||
| Qwen3.6 Plus (≤ 256K tokens) | $0.50 | $3.00 | $0.05 | $0.625 | $60 |
|
||||
| Qwen3.6 Plus (> 256K tokens) | $2.00 | $6.00 | $0.20 | $2.50 | $60 |
|
||||
| DeepSeek V4 Pro (Off-Peak) | $0.66 | $1.98 | $0.022 | - | $15 |
|
||||
| DeepSeek V4 Pro (Peak) | $1.32 | $3.96 | $0.044 | - | $15 |
|
||||
| DeepSeek V4 Flash (Off-Peak) | $0.22 | $0.66 | $0.007 | - | $30 |
|
||||
| DeepSeek V4 Flash (Peak) | $0.44 | $1.32 | $0.014 | - | $30 |
|
||||
| DeepSeek V4 Pro | $0.435 | $0.87 | $0.003625 | - | $15 |
|
||||
| DeepSeek V4 Flash | $0.14 | $0.28 | $0.0028 | - | $60 |
|
||||
| Hy3 | $0.14 | $0.58 | $0.035 | - | $60 |
|
||||
|
||||
**DeepSeek V4 Flash / Pro:** Os horários Peak são 01:00-04:00 e 06:00-10:00 UTC; todos os demais horários são Off-Peak. [Saiba mais](https://api-docs.deepseek.com/quick_start/pricing/).
|
||||
|
||||
Você pode acompanhar o seu uso atual no **<a href={console}>console</a>**.
|
||||
|
||||
:::tip
|
||||
@@ -206,7 +199,6 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
|
||||
| ----------------- | ----------------- | ------------------------------------------------ | --------------------------- |
|
||||
| Grok 4.5 | grok-4.5 | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GPT 5.6 Luna | gpt-5.6-luna | `https://opencode.ai/zen/go/v1/responses` | `@ai-sdk/openai` |
|
||||
| GLM-5.3 | glm-5.3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.2 | glm-5.2 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| GLM-5.1 | glm-5.1 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
| Kimi K3 | kimi-k3 | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
|
||||
@@ -247,7 +239,6 @@ https://opencode.ai/zen/go/v1/models
|
||||
| ----------------- | ---------------------- | ----------------- |
|
||||
| Grok 4.5 | Não usado | 30 dias |
|
||||
| GPT 5.6 Luna | Não usado | 30 dias |
|
||||
| GLM-5.3 | Não usado | 0 dias |
|
||||
| GLM-5.2 | Não usado | 0 dias |
|
||||
| GLM-5.1 | Não usado | 0 dias |
|
||||
| Kimi K3 | Não usado | 0 dias |
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user