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Compare commits
15 Commits
jlongster/
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kit/format
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af2ccc94eb |
@@ -1,6 +1,5 @@
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{
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"$schema": "https://opencode.ai/tui.json",
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"theme": "smoke-theme",
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"plugin": [
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[
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"./plugins/tui-smoke.tsx",
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246
bun.lock
246
bun.lock
@@ -142,9 +142,9 @@
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"name": "@opencode-ai/console-function",
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"version": "1.3.3",
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"dependencies": {
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"@ai-sdk/anthropic": "2.0.0",
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"@ai-sdk/openai": "2.0.2",
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"@ai-sdk/openai-compatible": "1.0.1",
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"@ai-sdk/anthropic": "3.0.64",
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"@ai-sdk/openai": "3.0.48",
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"@ai-sdk/openai-compatible": "2.0.37",
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"@hono/zod-validator": "catalog:",
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"@openauthjs/openauth": "0.0.0-20250322224806",
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"@opencode-ai/console-core": "workspace:*",
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@@ -305,25 +305,25 @@
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"@actions/core": "1.11.1",
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"@actions/github": "6.0.1",
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"@agentclientprotocol/sdk": "0.14.1",
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"@ai-sdk/anthropic": "2.0.65",
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"@ai-sdk/openai-compatible": "1.0.32",
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"@ai-sdk/provider": "2.0.1",
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"@ai-sdk/togetherai": "1.0.34",
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"@ai-sdk/vercel": "1.0.33",
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"@ai-sdk/xai": "2.0.51",
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"@ai-sdk/amazon-bedrock": "4.0.83",
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"@ai-sdk/azure": "3.0.49",
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"@ai-sdk/cerebras": "2.0.41",
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"@ai-sdk/cohere": "3.0.27",
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"@ai-sdk/deepinfra": "2.0.41",
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"@ai-sdk/gateway": "3.0.80",
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"@ai-sdk/google": "3.0.53",
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"@ai-sdk/google-vertex": "4.0.95",
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"@ai-sdk/groq": "3.0.31",
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"@ai-sdk/mistral": "3.0.27",
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"@ai-sdk/openai": "3.0.48",
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"@ai-sdk/openai-compatible": "2.0.37",
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"@ai-sdk/perplexity": "3.0.26",
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"@ai-sdk/provider": "3.0.8",
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"@ai-sdk/provider-utils": "4.0.21",
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"@ai-sdk/togetherai": "2.0.41",
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"@ai-sdk/vercel": "2.0.39",
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"@ai-sdk/xai": "3.0.74",
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"@aws-sdk/credential-providers": "3.993.0",
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"@clack/prompts": "1.0.0-alpha.1",
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"@effect/platform-node": "catalog:",
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@@ -337,7 +337,7 @@
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"@opencode-ai/script": "workspace:*",
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"@opencode-ai/sdk": "workspace:*",
|
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"@opencode-ai/util": "workspace:*",
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"@openrouter/ai-sdk-provider": "1.5.4",
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"@opentui/solid": "0.1.90",
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"@parcel/watcher": "2.5.1",
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@@ -347,7 +347,7 @@
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"ai": "catalog:",
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"bun-pty": "0.4.8",
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"chokidar": "4.0.3",
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@@ -358,7 +358,7 @@
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"drizzle-orm": "catalog:",
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"effect": "catalog:",
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"fuzzysort": "3.1.0",
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"glob": "13.0.5",
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"gray-matter": "4.0.3",
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@@ -599,10 +599,10 @@
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"tree-sitter-bash",
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"patchedDependencies": {
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"overrides": {
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"@types/bun": "catalog:",
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@@ -629,7 +629,7 @@
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"@types/node": "22.13.9",
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"@types/semver": "7.7.1",
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"ai": "5.0.124",
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"ai": "6.0.138",
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"diff": "8.0.2",
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"dompurify": "3.3.1",
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"drizzle-kit": "1.0.0-beta.19-d95b7a4",
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@@ -673,51 +673,51 @@
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@@ -2271,9 +2269,9 @@
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@@ -3049,7 +3047,7 @@
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@@ -4799,63 +4797,21 @@
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@@ -5557,12 +5503,6 @@
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@@ -5739,16 +5679,6 @@
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||||
|
||||
"@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-sdk/cerebras/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/cohere/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/deepgram/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/deepseek/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
@@ -5757,28 +5687,6 @@
|
||||
|
||||
"@ai-sdk/fireworks/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/gateway/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/groq/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/mistral/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/openai-compatible/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/openai-compatible/@ai-sdk/provider-utils/zod-to-json-schema": ["zod-to-json-schema@3.25.1", "", { "peerDependencies": { "zod": "^3.25 || ^4" } }, "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA=="],
|
||||
|
||||
"@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/openai/@ai-sdk/provider-utils/zod-to-json-schema": ["zod-to-json-schema@3.25.1", "", { "peerDependencies": { "zod": "^3.25 || ^4" } }, "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA=="],
|
||||
|
||||
"@ai-sdk/perplexity/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/togetherai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/vercel/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@ai-sdk/xai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"@astrojs/check/yargs/cliui": ["cliui@8.0.1", "", { "dependencies": { "string-width": "^4.2.0", "strip-ansi": "^6.0.1", "wrap-ansi": "^7.0.0" } }, "sha512-BSeNnyus75C4//NQ9gQt1/csTXyo/8Sb+afLAkzAptFuMsod9HFokGNudZpi/oQV73hnVK+sR+5PVRMd+Dr7YQ=="],
|
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|
||||
"@astrojs/check/yargs/string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
|
||||
@@ -6211,20 +6119,6 @@
|
||||
|
||||
"accepts/mime-types/mime-db": ["mime-db@1.52.0", "", {}, "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/anthropic": ["@ai-sdk/anthropic@2.0.56", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.19" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-XHJKu0Yvfu9SPzRfsAFESa+9T7f2YJY6TxykKMfRsAwpeWAiX/Gbx5J5uM15AzYC3Rw8tVP3oH+j7jEivENirQ=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/google": ["@ai-sdk/google@2.0.46", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@ai-sdk/provider-utils": "3.0.19" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-8PK6u4sGE/kXebd7ZkTp+0aya4kNqzoqpS5m7cHY2NfTK6fhPc6GNvE+MZIZIoHQTp5ed86wGBdeBPpFaaUtyg=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider": ["@ai-sdk/provider@2.0.0", "", { "dependencies": { "json-schema": "^0.4.0" } }, "sha512-6o7Y2SeO9vFKB8lArHXehNuusnpddKPk7xqL7T2/b+OvXMRIXUO1rR4wcv1hAFUAT9avGZshty3Wlua/XA7TvA=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.19", "", { "dependencies": { "@ai-sdk/provider": "2.0.0", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-W41Wc9/jbUVXVwCN/7bWa4IKe8MtxO3EyA0Hfhx6grnmiYlCvpI8neSYWFE0zScXJkgA/YK3BRybzgyiXuu6JA=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.20", "", { "dependencies": { "@ai-sdk/provider": "2.0.1", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-iXHVe0apM2zUEzauqJwqmpC37A5rihrStAih5Ks+JE32iTe4LZ58y17UGBjpQQTCRw9YxMeo2UFLxLpBluyvLQ=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/openai-compatible/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.22", "", { "dependencies": { "@ai-sdk/provider": "2.0.1", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-fFT1KfUUKktfAFm5mClJhS1oux9tP2qgzmEZVl5UdwltQ1LO/s8hd7znVrgKzivwv1s1FIPza0s9OpJaNB/vHw=="],
|
||||
|
||||
"ai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ajv-keywords/ajv/json-schema-traverse": ["json-schema-traverse@0.4.1", "", {}, "sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg=="],
|
||||
|
||||
"ansi-align/string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
|
||||
@@ -6321,10 +6215,6 @@
|
||||
|
||||
"opencode-poe-auth/open/wsl-utils": ["wsl-utils@0.1.0", "", { "dependencies": { "is-wsl": "^3.1.0" } }, "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw=="],
|
||||
|
||||
"opencode/@ai-sdk/openai/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.20", "", { "dependencies": { "@ai-sdk/provider": "2.0.1", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-iXHVe0apM2zUEzauqJwqmpC37A5rihrStAih5Ks+JE32iTe4LZ58y17UGBjpQQTCRw9YxMeo2UFLxLpBluyvLQ=="],
|
||||
|
||||
"opencode/@ai-sdk/openai-compatible/@ai-sdk/provider-utils": ["@ai-sdk/provider-utils@3.0.20", "", { "dependencies": { "@ai-sdk/provider": "2.0.1", "@standard-schema/spec": "^1.0.0", "eventsource-parser": "^3.0.6" }, "peerDependencies": { "zod": "^3.25.76 || ^4.1.8" } }, "sha512-iXHVe0apM2zUEzauqJwqmpC37A5rihrStAih5Ks+JE32iTe4LZ58y17UGBjpQQTCRw9YxMeo2UFLxLpBluyvLQ=="],
|
||||
|
||||
"opencontrol/@modelcontextprotocol/sdk/express": ["express@5.2.1", "", { "dependencies": { "accepts": "^2.0.0", "body-parser": "^2.2.1", "content-disposition": "^1.0.0", "content-type": "^1.0.5", "cookie": "^0.7.1", "cookie-signature": "^1.2.1", "debug": "^4.4.0", "depd": "^2.0.0", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "finalhandler": "^2.1.0", "fresh": "^2.0.0", "http-errors": "^2.0.0", "merge-descriptors": "^2.0.0", "mime-types": "^3.0.0", "on-finished": "^2.4.1", "once": "^1.4.0", "parseurl": "^1.3.3", "proxy-addr": "^2.0.7", "qs": "^6.14.0", "range-parser": "^1.2.1", "router": "^2.2.0", "send": "^1.1.0", "serve-static": "^2.2.0", "statuses": "^2.0.1", "type-is": "^2.0.1", "vary": "^1.1.2" } }, "sha512-hIS4idWWai69NezIdRt2xFVofaF4j+6INOpJlVOLDO8zXGpUVEVzIYk12UUi2JzjEzWL3IOAxcTubgz9Po0yXw=="],
|
||||
|
||||
"opencontrol/@modelcontextprotocol/sdk/express-rate-limit": ["express-rate-limit@7.5.1", "", { "peerDependencies": { "express": ">= 4.11" } }, "sha512-7iN8iPMDzOMHPUYllBEsQdWVB6fPDMPqwjBaFrgr4Jgr/+okjvzAy+UHlYYL/Vs0OsOrMkwS6PJDkFlJwoxUnw=="],
|
||||
@@ -6581,12 +6471,6 @@
|
||||
|
||||
"@solidjs/start/shiki/@shikijs/engine-javascript/oniguruma-to-es": ["oniguruma-to-es@2.3.0", "", { "dependencies": { "emoji-regex-xs": "^1.0.0", "regex": "^5.1.1", "regex-recursion": "^5.1.1" } }, "sha512-bwALDxriqfKGfUufKGGepCzu9x7nJQuoRoAFp4AnwehhC2crqrDIAP/uN2qdlsAvSMpeRC3+Yzhqc7hLmle5+g=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/google-vertex/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"ai-gateway-provider/@ai-sdk/openai-compatible/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"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=="],
|
||||
|
||||
"ansi-align/string-width/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
|
||||
|
||||
"app-builder-lib/@electron/get/fs-extra/universalify": ["universalify@0.1.2", "", {}, "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg=="],
|
||||
@@ -6639,10 +6523,6 @@
|
||||
|
||||
"js-beautify/glob/path-scurry/lru-cache": ["lru-cache@10.4.3", "", {}, "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ=="],
|
||||
|
||||
"opencode/@ai-sdk/openai-compatible/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"opencode/@ai-sdk/openai/@ai-sdk/provider-utils/@standard-schema/spec": ["@standard-schema/spec@1.1.0", "", {}, "sha512-l2aFy5jALhniG5HgqrD6jXLi/rUWrKvqN/qJx6yoJsgKhblVd+iqqU4RCXavm/jPityDo5TCvKMnpjKnOriy0w=="],
|
||||
|
||||
"opencontrol/@modelcontextprotocol/sdk/express/accepts": ["accepts@2.0.0", "", { "dependencies": { "mime-types": "^3.0.0", "negotiator": "^1.0.0" } }, "sha512-5cvg6CtKwfgdmVqY1WIiXKc3Q1bkRqGLi+2W/6ao+6Y7gu/RCwRuAhGEzh5B4KlszSuTLgZYuqFqo5bImjNKng=="],
|
||||
|
||||
"opencontrol/@modelcontextprotocol/sdk/express/body-parser": ["body-parser@2.2.2", "", { "dependencies": { "bytes": "^3.1.2", "content-type": "^1.0.5", "debug": "^4.4.3", "http-errors": "^2.0.0", "iconv-lite": "^0.7.0", "on-finished": "^2.4.1", "qs": "^6.14.1", "raw-body": "^3.0.1", "type-is": "^2.0.1" } }, "sha512-oP5VkATKlNwcgvxi0vM0p/D3n2C3EReYVX+DNYs5TjZFn/oQt2j+4sVJtSMr18pdRr8wjTcBl6LoV+FUwzPmNA=="],
|
||||
|
||||
@@ -46,7 +46,7 @@
|
||||
"drizzle-kit": "1.0.0-beta.19-d95b7a4",
|
||||
"drizzle-orm": "1.0.0-beta.19-d95b7a4",
|
||||
"effect": "4.0.0-beta.37",
|
||||
"ai": "5.0.124",
|
||||
"ai": "6.0.138",
|
||||
"hono": "4.10.7",
|
||||
"hono-openapi": "1.1.2",
|
||||
"fuzzysort": "3.1.0",
|
||||
@@ -113,8 +113,8 @@
|
||||
},
|
||||
"patchedDependencies": {
|
||||
"@standard-community/standard-openapi@0.2.9": "patches/@standard-community%2Fstandard-openapi@0.2.9.patch",
|
||||
"@openrouter/ai-sdk-provider@1.5.4": "patches/@openrouter%2Fai-sdk-provider@1.5.4.patch",
|
||||
"@ai-sdk/xai@2.0.51": "patches/@ai-sdk%2Fxai@2.0.51.patch",
|
||||
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch"
|
||||
"solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
|
||||
"@ai-sdk/provider-utils@4.0.21": "patches/@ai-sdk%2Fprovider-utils@4.0.21.patch",
|
||||
"@ai-sdk/anthropic@3.0.64": "patches/@ai-sdk%2Fanthropic@3.0.64.patch"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
<html lang="en" style="background-color: var(--background-base)">
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1, interactive-widget=resizes-content" />
|
||||
<title>OpenCode</title>
|
||||
<link rel="icon" type="image/png" href="/favicon-96x96-v3.png" sizes="96x96" />
|
||||
<link rel="icon" type="image/svg+xml" href="/favicon-v3.svg" />
|
||||
|
||||
@@ -13,7 +13,8 @@ import { createScrollPersistence, type SessionScroll } from "./layout-scroll"
|
||||
import { createPathHelpers } from "./file/path"
|
||||
|
||||
const AVATAR_COLOR_KEYS = ["pink", "mint", "orange", "purple", "cyan", "lime"] as const
|
||||
const DEFAULT_PANEL_WIDTH = 344
|
||||
const DEFAULT_SIDEBAR_WIDTH = 344
|
||||
const DEFAULT_FILE_TREE_WIDTH = 200
|
||||
const DEFAULT_SESSION_WIDTH = 600
|
||||
const DEFAULT_TERMINAL_HEIGHT = 280
|
||||
export type AvatarColorKey = (typeof AVATAR_COLOR_KEYS)[number]
|
||||
@@ -161,11 +162,11 @@ export const { use: useLayout, provider: LayoutProvider } = createSimpleContext(
|
||||
if (!isRecord(fileTree)) return fileTree
|
||||
if (fileTree.tab === "changes" || fileTree.tab === "all") return fileTree
|
||||
|
||||
const width = typeof fileTree.width === "number" ? fileTree.width : DEFAULT_PANEL_WIDTH
|
||||
const width = typeof fileTree.width === "number" ? fileTree.width : DEFAULT_FILE_TREE_WIDTH
|
||||
return {
|
||||
...fileTree,
|
||||
opened: true,
|
||||
width: width === 260 ? DEFAULT_PANEL_WIDTH : width,
|
||||
width: width === 260 ? DEFAULT_FILE_TREE_WIDTH : width,
|
||||
tab: "changes",
|
||||
}
|
||||
})()
|
||||
@@ -230,7 +231,7 @@ export const { use: useLayout, provider: LayoutProvider } = createSimpleContext(
|
||||
createStore({
|
||||
sidebar: {
|
||||
opened: false,
|
||||
width: DEFAULT_PANEL_WIDTH,
|
||||
width: DEFAULT_SIDEBAR_WIDTH,
|
||||
workspaces: {} as Record<string, boolean>,
|
||||
workspacesDefault: false,
|
||||
},
|
||||
@@ -243,8 +244,8 @@ export const { use: useLayout, provider: LayoutProvider } = createSimpleContext(
|
||||
panelOpened: true,
|
||||
},
|
||||
fileTree: {
|
||||
opened: true,
|
||||
width: DEFAULT_PANEL_WIDTH,
|
||||
opened: false,
|
||||
width: DEFAULT_FILE_TREE_WIDTH,
|
||||
tab: "changes" as "changes" | "all",
|
||||
},
|
||||
session: {
|
||||
@@ -628,32 +629,32 @@ export const { use: useLayout, provider: LayoutProvider } = createSimpleContext(
|
||||
},
|
||||
fileTree: {
|
||||
opened: createMemo(() => store.fileTree?.opened ?? true),
|
||||
width: createMemo(() => store.fileTree?.width ?? DEFAULT_PANEL_WIDTH),
|
||||
width: createMemo(() => store.fileTree?.width ?? DEFAULT_FILE_TREE_WIDTH),
|
||||
tab: createMemo(() => store.fileTree?.tab ?? "changes"),
|
||||
setTab(tab: "changes" | "all") {
|
||||
if (!store.fileTree) {
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_PANEL_WIDTH, tab })
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_FILE_TREE_WIDTH, tab })
|
||||
return
|
||||
}
|
||||
setStore("fileTree", "tab", tab)
|
||||
},
|
||||
open() {
|
||||
if (!store.fileTree) {
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_PANEL_WIDTH, tab: "changes" })
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_FILE_TREE_WIDTH, tab: "changes" })
|
||||
return
|
||||
}
|
||||
setStore("fileTree", "opened", true)
|
||||
},
|
||||
close() {
|
||||
if (!store.fileTree) {
|
||||
setStore("fileTree", { opened: false, width: DEFAULT_PANEL_WIDTH, tab: "changes" })
|
||||
setStore("fileTree", { opened: false, width: DEFAULT_FILE_TREE_WIDTH, tab: "changes" })
|
||||
return
|
||||
}
|
||||
setStore("fileTree", "opened", false)
|
||||
},
|
||||
toggle() {
|
||||
if (!store.fileTree) {
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_PANEL_WIDTH, tab: "changes" })
|
||||
setStore("fileTree", { opened: true, width: DEFAULT_FILE_TREE_WIDTH, tab: "changes" })
|
||||
return
|
||||
}
|
||||
setStore("fileTree", "opened", (x) => !x)
|
||||
|
||||
@@ -1640,6 +1640,15 @@ export default function Page() {
|
||||
consumePendingMessage: layout.pendingMessage.consume,
|
||||
})
|
||||
|
||||
createEffect(
|
||||
on(
|
||||
() => params.id,
|
||||
(id) => {
|
||||
if (!id) requestAnimationFrame(() => inputRef?.focus())
|
||||
},
|
||||
),
|
||||
)
|
||||
|
||||
onMount(() => {
|
||||
document.addEventListener("keydown", handleKeyDown)
|
||||
})
|
||||
|
||||
@@ -17,9 +17,9 @@
|
||||
"@typescript/native-preview": "catalog:"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/anthropic": "2.0.0",
|
||||
"@ai-sdk/openai": "2.0.2",
|
||||
"@ai-sdk/openai-compatible": "1.0.1",
|
||||
"@ai-sdk/anthropic": "3.0.64",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
"@ai-sdk/openai-compatible": "2.0.37",
|
||||
"@hono/zod-validator": "catalog:",
|
||||
"@opencode-ai/console-core": "workspace:*",
|
||||
"@opencode-ai/console-resource": "workspace:*",
|
||||
|
||||
@@ -9,3 +9,6 @@ Here's the process I've been using to create icons:
|
||||
|
||||
The Image2Icon step is necessary as the `icon.icns` generated by `app-icon.png` does not apply the shadow/padding expected by macOS,
|
||||
so app icons appear larger than expected.
|
||||
|
||||
For unpackaged Electron on macOS, `app.dock.setIcon()` should use a PNG. Keep `dock.png` in each channel folder synced with the
|
||||
extracted `icon_128x128@2x.png` from that channel's `icon.icns` so the dev Dock icon matches the packaged app inset.
|
||||
|
||||
BIN
packages/desktop-electron/icons/beta/dock.png
Normal file
BIN
packages/desktop-electron/icons/beta/dock.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 33 KiB |
BIN
packages/desktop-electron/icons/dev/dock.png
Normal file
BIN
packages/desktop-electron/icons/dev/dock.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 49 KiB |
BIN
packages/desktop-electron/icons/prod/dock.png
Normal file
BIN
packages/desktop-electron/icons/prod/dock.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 38 KiB |
@@ -50,7 +50,8 @@ export function setTitlebar(win: BrowserWindow, theme: Partial<TitlebarTheme> =
|
||||
|
||||
export function setDockIcon() {
|
||||
if (process.platform !== "darwin") return
|
||||
app.dock?.setIcon(nativeImage.createFromPath(join(iconsDir(), "128x128@2x.png")))
|
||||
const icon = nativeImage.createFromPath(join(iconsDir(), "dock.png"))
|
||||
if (!icon.isEmpty()) app.dock?.setIcon(icon)
|
||||
}
|
||||
|
||||
export function createMainWindow(globals: Globals) {
|
||||
|
||||
@@ -68,25 +68,25 @@
|
||||
"@actions/core": "1.11.1",
|
||||
"@actions/github": "6.0.1",
|
||||
"@agentclientprotocol/sdk": "0.14.1",
|
||||
"@ai-sdk/amazon-bedrock": "3.0.82",
|
||||
"@ai-sdk/anthropic": "2.0.65",
|
||||
"@ai-sdk/azure": "2.0.91",
|
||||
"@ai-sdk/cerebras": "1.0.36",
|
||||
"@ai-sdk/cohere": "2.0.22",
|
||||
"@ai-sdk/deepinfra": "1.0.36",
|
||||
"@ai-sdk/gateway": "2.0.30",
|
||||
"@ai-sdk/google": "2.0.54",
|
||||
"@ai-sdk/google-vertex": "3.0.106",
|
||||
"@ai-sdk/groq": "2.0.34",
|
||||
"@ai-sdk/mistral": "2.0.27",
|
||||
"@ai-sdk/openai": "2.0.89",
|
||||
"@ai-sdk/openai-compatible": "1.0.32",
|
||||
"@ai-sdk/perplexity": "2.0.23",
|
||||
"@ai-sdk/provider": "2.0.1",
|
||||
"@ai-sdk/provider-utils": "3.0.21",
|
||||
"@ai-sdk/togetherai": "1.0.34",
|
||||
"@ai-sdk/vercel": "1.0.33",
|
||||
"@ai-sdk/xai": "2.0.51",
|
||||
"@ai-sdk/amazon-bedrock": "4.0.83",
|
||||
"@ai-sdk/anthropic": "3.0.64",
|
||||
"@ai-sdk/azure": "3.0.49",
|
||||
"@ai-sdk/cerebras": "2.0.41",
|
||||
"@ai-sdk/cohere": "3.0.27",
|
||||
"@ai-sdk/deepinfra": "2.0.41",
|
||||
"@ai-sdk/gateway": "3.0.80",
|
||||
"@ai-sdk/google": "3.0.53",
|
||||
"@ai-sdk/google-vertex": "4.0.95",
|
||||
"@ai-sdk/groq": "3.0.31",
|
||||
"@ai-sdk/mistral": "3.0.27",
|
||||
"@ai-sdk/openai": "3.0.48",
|
||||
"@ai-sdk/openai-compatible": "2.0.37",
|
||||
"@ai-sdk/perplexity": "3.0.26",
|
||||
"@ai-sdk/provider": "3.0.8",
|
||||
"@ai-sdk/provider-utils": "4.0.21",
|
||||
"@ai-sdk/togetherai": "2.0.41",
|
||||
"@ai-sdk/vercel": "2.0.39",
|
||||
"@ai-sdk/xai": "3.0.74",
|
||||
"@aws-sdk/credential-providers": "3.993.0",
|
||||
"@clack/prompts": "1.0.0-alpha.1",
|
||||
"@effect/platform-node": "catalog:",
|
||||
@@ -100,7 +100,7 @@
|
||||
"@opencode-ai/script": "workspace:*",
|
||||
"@opencode-ai/sdk": "workspace:*",
|
||||
"@opencode-ai/util": "workspace:*",
|
||||
"@openrouter/ai-sdk-provider": "1.5.4",
|
||||
"@openrouter/ai-sdk-provider": "2.3.3",
|
||||
"@opentui/core": "0.1.90",
|
||||
"@opentui/solid": "0.1.90",
|
||||
"@parcel/watcher": "2.5.1",
|
||||
@@ -110,7 +110,7 @@
|
||||
"@standard-schema/spec": "1.0.0",
|
||||
"@zip.js/zip.js": "2.7.62",
|
||||
"ai": "catalog:",
|
||||
"ai-gateway-provider": "2.3.1",
|
||||
"ai-gateway-provider": "3.1.2",
|
||||
"bonjour-service": "1.3.0",
|
||||
"bun-pty": "0.4.8",
|
||||
"chokidar": "4.0.3",
|
||||
@@ -121,7 +121,7 @@
|
||||
"drizzle-orm": "catalog:",
|
||||
"effect": "catalog:",
|
||||
"fuzzysort": "3.1.0",
|
||||
"gitlab-ai-provider": "5.3.3",
|
||||
"gitlab-ai-provider": "6.0.0",
|
||||
"glob": "13.0.5",
|
||||
"google-auth-library": "10.5.0",
|
||||
"gray-matter": "4.0.3",
|
||||
|
||||
@@ -212,8 +212,81 @@ Fully migrated (single namespace, InstanceState where needed, flattened facade):
|
||||
|
||||
Still open and likely worth migrating:
|
||||
|
||||
- [ ] `Session`
|
||||
- [ ] `SessionProcessor`
|
||||
- [ ] `SessionPrompt`
|
||||
- [ ] `SessionCompaction`
|
||||
- [ ] `Provider`
|
||||
- [x] `Session` — `session/index.ts`
|
||||
- [ ] `SessionProcessor` — blocked by AI SDK v6 PR (#18433)
|
||||
- [ ] `SessionPrompt` — blocked by AI SDK v6 PR (#18433)
|
||||
- [ ] `SessionCompaction` — blocked by AI SDK v6 PR (#18433)
|
||||
- [ ] `Provider` — blocked by AI SDK v6 PR (#18433)
|
||||
|
||||
Other services not yet migrated:
|
||||
|
||||
- [ ] `SessionSummary` — `session/summary.ts`
|
||||
- [ ] `SessionTodo` — `session/todo.ts`
|
||||
- [ ] `SessionRevert` — `session/revert.ts`
|
||||
- [ ] `Instruction` — `session/instruction.ts`
|
||||
- [ ] `ShareNext` — `share/share-next.ts`
|
||||
- [ ] `SyncEvent` — `sync/index.ts`
|
||||
- [ ] `Storage` — `storage/storage.ts`
|
||||
- [ ] `Workspace` — `control-plane/workspace.ts`
|
||||
|
||||
## Tool interface → Effect
|
||||
|
||||
Once individual tools are effectified, change `Tool.Info` (`tool/tool.ts`) so `init` and `execute` return `Effect` instead of `Promise`. This lets tool implementations compose natively with the Effect pipeline rather than being wrapped in `Effect.promise()` at the call site. Requires:
|
||||
|
||||
1. Migrate each tool to return Effects
|
||||
2. Update `Tool.define()` factory to work with Effects
|
||||
3. Update `SessionPrompt` to `yield*` tool results instead of `await`ing — blocked by AI SDK v6 PR (#18433)
|
||||
|
||||
Individual tools, ordered by value:
|
||||
|
||||
- [ ] `apply_patch.ts` — HIGH: multi-step orchestration, error accumulation, Bus events
|
||||
- [ ] `read.ts` — HIGH: streaming I/O, readline, binary detection → FileSystem + Stream
|
||||
- [ ] `edit.ts` — HIGH: multi-step diff/format/publish pipeline, FileWatcher lock
|
||||
- [ ] `grep.ts` — MEDIUM: spawns ripgrep → ChildProcessSpawner, timeout handling
|
||||
- [ ] `write.ts` — MEDIUM: permission checks, diagnostics polling, Bus events
|
||||
- [ ] `codesearch.ts` — MEDIUM: HTTP + SSE + manual timeout → HttpClient + Effect.timeout
|
||||
- [ ] `webfetch.ts` — MEDIUM: fetch with UA retry, size limits → HttpClient
|
||||
- [ ] `websearch.ts` — MEDIUM: MCP over HTTP → HttpClient
|
||||
- [ ] `batch.ts` — MEDIUM: parallel execution, per-call error recovery → Effect.all
|
||||
- [ ] `task.ts` — MEDIUM: task state management
|
||||
- [ ] `glob.ts` — LOW: simple async generator
|
||||
- [ ] `lsp.ts` — LOW: dispatch switch over LSP operations
|
||||
- [ ] `skill.ts` — LOW: skill tool adapter
|
||||
- [ ] `plan.ts` — LOW: plan file operations
|
||||
|
||||
## Effect service adoption in already-migrated code
|
||||
|
||||
Some services are effectified but still use raw `Filesystem.*` or `Process.spawn` instead of the Effect equivalents. These are low-hanging fruit — the layers already exist, they just need the dependency swap.
|
||||
|
||||
### `Filesystem.*` → `AppFileSystem.Service` (yield in layer)
|
||||
|
||||
- [ ] `file/index.ts` — 11 calls (the File service itself)
|
||||
- [ ] `config/config.ts` — 7 calls
|
||||
- [ ] `auth/index.ts` — 3 calls
|
||||
- [ ] `skill/index.ts` — 3 calls
|
||||
- [ ] `file/time.ts` — 1 call
|
||||
|
||||
### `Process.spawn` → `ChildProcessSpawner` (yield in layer)
|
||||
|
||||
- [ ] `format/index.ts` — 1 call
|
||||
|
||||
## Filesystem consolidation
|
||||
|
||||
`util/filesystem.ts` (raw fs wrapper) is used by **64 files**. The effectified `AppFileSystem` service (`filesystem/index.ts`) exists but only has **8 consumers**. As services and tools are effectified, they should switch from `Filesystem.*` to yielding `AppFileSystem.Service` — this happens naturally during each migration, not as a separate effort.
|
||||
|
||||
Similarly, **28 files** still import raw `fs` or `fs/promises` directly. These should migrate to `AppFileSystem` or `Filesystem.*` as they're touched.
|
||||
|
||||
Current raw fs users that will convert during tool migration:
|
||||
- `tool/read.ts` — fs.createReadStream, readline
|
||||
- `tool/apply_patch.ts` — fs/promises
|
||||
- `tool/bash.ts` — fs/promises
|
||||
- `file/ripgrep.ts` — fs/promises
|
||||
- `storage/storage.ts` — fs/promises
|
||||
- `patch/index.ts` — fs, fs/promises
|
||||
|
||||
## Primitives & utilities
|
||||
|
||||
- [ ] `util/lock.ts` — reader-writer lock → Effect Semaphore/Permit
|
||||
- [ ] `util/flock.ts` — file-based distributed lock with heartbeat → Effect.repeat + addFinalizer
|
||||
- [ ] `util/process.ts` — child process spawn wrapper → return Effect instead of Promise
|
||||
- [ ] `util/lazy.ts` — replace uses in Effect code with Effect.cached; keep for sync-only code
|
||||
|
||||
@@ -32,15 +32,7 @@ export const WorktreeAdaptor: Adaptor = {
|
||||
const config = Config.parse(info)
|
||||
await Worktree.remove({ directory: config.directory })
|
||||
},
|
||||
async fetch(info, input: RequestInfo | URL, init?: RequestInit) {
|
||||
const { Server } = await import("../../server/server")
|
||||
|
||||
const config = Config.parse(info)
|
||||
const url = input instanceof Request || input instanceof URL ? input : new URL(input, "http://opencode.internal")
|
||||
const headers = new Headers(init?.headers ?? (input instanceof Request ? input.headers : undefined))
|
||||
headers.set("x-opencode-directory", config.directory)
|
||||
|
||||
const request = new Request(url, { ...init, headers })
|
||||
return Server.Default().fetch(request)
|
||||
async fetch(_info, _input: RequestInfo | URL, _init?: RequestInit) {
|
||||
throw new Error("fetch not implemented")
|
||||
},
|
||||
}
|
||||
|
||||
@@ -1,64 +0,0 @@
|
||||
import type { MiddlewareHandler } from "hono"
|
||||
import { Flag } from "../flag/flag"
|
||||
import { getAdaptor } from "./adaptors"
|
||||
import { WorkspaceID } from "./schema"
|
||||
import { Workspace } from "./workspace"
|
||||
import { InstanceRoutes } from "../server/instance"
|
||||
import { lazy } from "../util/lazy"
|
||||
|
||||
type Rule = { method?: string; path: string; exact?: boolean; action: "local" | "forward" }
|
||||
|
||||
const RULES: Array<Rule> = [
|
||||
{ path: "/session/status", action: "forward" },
|
||||
{ method: "GET", path: "/session", action: "local" },
|
||||
]
|
||||
|
||||
function local(method: string, path: string) {
|
||||
for (const rule of RULES) {
|
||||
if (rule.method && rule.method !== method) continue
|
||||
const match = rule.exact ? path === rule.path : path === rule.path || path.startsWith(rule.path + "/")
|
||||
if (match) return rule.action === "local"
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
const routes = lazy(() => InstanceRoutes())
|
||||
|
||||
export const WorkspaceRouterMiddleware: MiddlewareHandler = async (c) => {
|
||||
if (!Flag.OPENCODE_EXPERIMENTAL_WORKSPACES) {
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
}
|
||||
|
||||
const url = new URL(c.req.url)
|
||||
const raw = url.searchParams.get("workspace")
|
||||
|
||||
if (!raw) {
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
}
|
||||
|
||||
if (local(c.req.method, url.pathname)) {
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
}
|
||||
|
||||
const workspaceID = WorkspaceID.make(raw)
|
||||
const workspace = await Workspace.get(workspaceID)
|
||||
if (!workspace) {
|
||||
return new Response(`Workspace not found: ${workspaceID}`, {
|
||||
status: 500,
|
||||
headers: {
|
||||
"content-type": "text/plain; charset=utf-8",
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
const adaptor = await getAdaptor(workspace.type)
|
||||
const headers = new Headers(c.req.raw.headers)
|
||||
headers.delete("x-opencode-workspace")
|
||||
|
||||
return adaptor.fetch(workspace, `${url.pathname}${url.search}`, {
|
||||
method: c.req.method,
|
||||
body: c.req.method === "GET" || c.req.method === "HEAD" ? undefined : await c.req.raw.arrayBuffer(),
|
||||
signal: c.req.raw.signal,
|
||||
headers,
|
||||
})
|
||||
}
|
||||
@@ -1,4 +1,6 @@
|
||||
import { Effect, Layer, ServiceMap } from "effect"
|
||||
import { ChildProcess, ChildProcessSpawner } from "effect/unstable/process"
|
||||
import * as CrossSpawnSpawner from "@/effect/cross-spawn-spawner"
|
||||
import { InstanceState } from "@/effect/instance-state"
|
||||
import { makeRuntime } from "@/effect/run-service"
|
||||
import path from "path"
|
||||
@@ -6,7 +8,6 @@ import { mergeDeep } from "remeda"
|
||||
import z from "zod"
|
||||
import { Config } from "../config/config"
|
||||
import { Instance } from "../project/instance"
|
||||
import { Process } from "../util/process"
|
||||
import { Log } from "../util/log"
|
||||
import * as Formatter from "./formatter"
|
||||
|
||||
@@ -36,6 +37,7 @@ export namespace Format {
|
||||
Service,
|
||||
Effect.gen(function* () {
|
||||
const config = yield* Config.Service
|
||||
const spawner = yield* ChildProcessSpawner.ChildProcessSpawner
|
||||
|
||||
const state = yield* InstanceState.make(
|
||||
Effect.fn("Format.state")(function* (_ctx) {
|
||||
@@ -98,38 +100,48 @@ export namespace Format {
|
||||
return checks.filter((x) => x.enabled).map((x) => x.item)
|
||||
}
|
||||
|
||||
async function formatFile(filepath: string) {
|
||||
log.info("formatting", { file: filepath })
|
||||
const ext = path.extname(filepath)
|
||||
function formatFile(filepath: string) {
|
||||
return Effect.gen(function* () {
|
||||
log.info("formatting", { file: filepath })
|
||||
const ext = path.extname(filepath)
|
||||
|
||||
for (const item of await getFormatter(ext)) {
|
||||
log.info("running", { command: item.command })
|
||||
try {
|
||||
const proc = Process.spawn(
|
||||
item.command.map((x) => x.replace("$FILE", filepath)),
|
||||
{
|
||||
cwd: Instance.directory,
|
||||
env: { ...process.env, ...item.environment },
|
||||
stdout: "ignore",
|
||||
stderr: "ignore",
|
||||
},
|
||||
)
|
||||
const exit = await proc.exited
|
||||
if (exit !== 0) {
|
||||
for (const item of yield* Effect.promise(() => getFormatter(ext))) {
|
||||
log.info("running", { command: item.command })
|
||||
const cmd = item.command.map((x) => x.replace("$FILE", filepath))
|
||||
const code = yield* spawner
|
||||
.spawn(
|
||||
ChildProcess.make(cmd[0]!, cmd.slice(1), {
|
||||
cwd: Instance.directory,
|
||||
env: item.environment,
|
||||
extendEnv: true,
|
||||
stdin: "ignore",
|
||||
stdout: "ignore",
|
||||
stderr: "ignore",
|
||||
}),
|
||||
)
|
||||
.pipe(
|
||||
Effect.flatMap((handle) => handle.exitCode),
|
||||
Effect.scoped,
|
||||
Effect.catch(() =>
|
||||
Effect.sync(() => {
|
||||
log.error("failed to format file", {
|
||||
error: "spawn failed",
|
||||
command: item.command,
|
||||
...item.environment,
|
||||
file: filepath,
|
||||
})
|
||||
return ChildProcessSpawner.ExitCode(1)
|
||||
}),
|
||||
),
|
||||
)
|
||||
if (code !== 0) {
|
||||
log.error("failed", {
|
||||
command: item.command,
|
||||
...item.environment,
|
||||
})
|
||||
}
|
||||
} catch (error) {
|
||||
log.error("failed to format file", {
|
||||
error,
|
||||
command: item.command,
|
||||
...item.environment,
|
||||
file: filepath,
|
||||
})
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
log.info("init")
|
||||
@@ -162,14 +174,14 @@ export namespace Format {
|
||||
|
||||
const file = Effect.fn("Format.file")(function* (filepath: string) {
|
||||
const { formatFile } = yield* InstanceState.get(state)
|
||||
yield* Effect.promise(() => formatFile(filepath))
|
||||
yield* formatFile(filepath)
|
||||
})
|
||||
|
||||
return Service.of({ init, status, file })
|
||||
}),
|
||||
)
|
||||
|
||||
export const defaultLayer = layer.pipe(Layer.provide(Config.defaultLayer))
|
||||
export const defaultLayer = layer.pipe(Layer.provide(Config.defaultLayer), Layer.provide(CrossSpawnSpawner.defaultLayer))
|
||||
|
||||
const { runPromise } = makeRuntime(Service, defaultLayer)
|
||||
|
||||
|
||||
@@ -23,6 +23,9 @@ export namespace ProviderError {
|
||||
/request entity too large/i, // HTTP 413
|
||||
/context length is only \d+ tokens/i, // vLLM
|
||||
/input length.*exceeds.*context length/i, // vLLM
|
||||
/prompt too long; exceeded (?:max )?context length/i, // Ollama explicit overflow error
|
||||
/too large for model with \d+ maximum context length/i, // Mistral
|
||||
/model_context_window_exceeded/i, // z.ai non-standard finish_reason surfaced as error text
|
||||
]
|
||||
|
||||
function isOpenAiErrorRetryable(e: APICallError) {
|
||||
|
||||
@@ -9,6 +9,7 @@ import { BunProc } from "../bun"
|
||||
import { Hash } from "../util/hash"
|
||||
import { Plugin } from "../plugin"
|
||||
import { NamedError } from "@opencode-ai/util/error"
|
||||
import { type LanguageModelV3 } from "@ai-sdk/provider"
|
||||
import { ModelsDev } from "./models"
|
||||
import { Auth } from "../auth"
|
||||
import { Env } from "../env"
|
||||
@@ -28,7 +29,7 @@ import { createVertex } from "@ai-sdk/google-vertex"
|
||||
import { createVertexAnthropic } from "@ai-sdk/google-vertex/anthropic"
|
||||
import { createOpenAI } from "@ai-sdk/openai"
|
||||
import { createOpenAICompatible } from "@ai-sdk/openai-compatible"
|
||||
import { createOpenRouter, type LanguageModelV2 } from "@openrouter/ai-sdk-provider"
|
||||
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
|
||||
import { createOpenaiCompatible as createGitHubCopilotOpenAICompatible } from "./sdk/copilot"
|
||||
import { createXai } from "@ai-sdk/xai"
|
||||
import { createMistral } from "@ai-sdk/mistral"
|
||||
@@ -109,7 +110,11 @@ export namespace Provider {
|
||||
})
|
||||
}
|
||||
|
||||
const BUNDLED_PROVIDERS: Record<string, (options: any) => SDK> = {
|
||||
type BundledSDK = {
|
||||
languageModel(modelId: string): LanguageModelV3
|
||||
}
|
||||
|
||||
const BUNDLED_PROVIDERS: Record<string, (options: any) => BundledSDK> = {
|
||||
"@ai-sdk/amazon-bedrock": createAmazonBedrock,
|
||||
"@ai-sdk/anthropic": createAnthropic,
|
||||
"@ai-sdk/azure": createAzure,
|
||||
@@ -130,7 +135,6 @@ export namespace Provider {
|
||||
"@ai-sdk/perplexity": createPerplexity,
|
||||
"@ai-sdk/vercel": createVercel,
|
||||
"gitlab-ai-provider": createGitLab,
|
||||
// @ts-ignore (TODO: kill this code so we dont have to maintain it)
|
||||
"@ai-sdk/github-copilot": createGitHubCopilotOpenAICompatible,
|
||||
}
|
||||
|
||||
@@ -591,7 +595,12 @@ export namespace Provider {
|
||||
|
||||
if (!result.models.length) {
|
||||
log.info("gitlab model discovery skipped: no models found", {
|
||||
project: result.project ? { id: result.project.id, path: result.project.pathWithNamespace } : null,
|
||||
project: result.project
|
||||
? {
|
||||
id: result.project.id,
|
||||
path: result.project.pathWithNamespace,
|
||||
}
|
||||
: null,
|
||||
})
|
||||
return {}
|
||||
}
|
||||
@@ -619,8 +628,20 @@ export namespace Provider {
|
||||
reasoning: true,
|
||||
attachment: true,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
input: {
|
||||
text: true,
|
||||
audio: false,
|
||||
image: true,
|
||||
video: false,
|
||||
pdf: true,
|
||||
},
|
||||
output: {
|
||||
text: true,
|
||||
audio: false,
|
||||
image: false,
|
||||
video: false,
|
||||
pdf: false,
|
||||
},
|
||||
interleaved: false,
|
||||
},
|
||||
release_date: "",
|
||||
@@ -930,17 +951,17 @@ export namespace Provider {
|
||||
}
|
||||
|
||||
const providers: Record<ProviderID, Info> = {} as Record<ProviderID, Info>
|
||||
const languages = new Map<string, LanguageModelV2>()
|
||||
const languages = new Map<string, LanguageModelV3>()
|
||||
const modelLoaders: {
|
||||
[providerID: string]: CustomModelLoader
|
||||
} = {}
|
||||
const varsLoaders: {
|
||||
[providerID: string]: CustomVarsLoader
|
||||
} = {}
|
||||
const sdk = new Map<string, BundledSDK>()
|
||||
const discoveryLoaders: {
|
||||
[providerID: string]: CustomDiscoverModels
|
||||
} = {}
|
||||
const sdk = new Map<string, SDK>()
|
||||
|
||||
log.info("init")
|
||||
|
||||
@@ -1232,7 +1253,13 @@ export namespace Provider {
|
||||
...model.headers,
|
||||
}
|
||||
|
||||
const key = Hash.fast(JSON.stringify({ providerID: model.providerID, npm: model.api.npm, options }))
|
||||
const key = Hash.fast(
|
||||
JSON.stringify({
|
||||
providerID: model.providerID,
|
||||
npm: model.api.npm,
|
||||
options,
|
||||
}),
|
||||
)
|
||||
const existing = s.sdk.get(key)
|
||||
if (existing) return existing
|
||||
|
||||
@@ -1285,7 +1312,10 @@ export namespace Provider {
|
||||
|
||||
const bundledFn = BUNDLED_PROVIDERS[model.api.npm]
|
||||
if (bundledFn) {
|
||||
log.info("using bundled provider", { providerID: model.providerID, pkg: model.api.npm })
|
||||
log.info("using bundled provider", {
|
||||
providerID: model.providerID,
|
||||
pkg: model.api.npm,
|
||||
})
|
||||
const loaded = bundledFn({
|
||||
name: model.providerID,
|
||||
...options,
|
||||
@@ -1325,7 +1355,10 @@ export namespace Provider {
|
||||
const provider = s.providers[providerID]
|
||||
if (!provider) {
|
||||
const availableProviders = Object.keys(s.providers)
|
||||
const matches = fuzzysort.go(providerID, availableProviders, { limit: 3, threshold: -10000 })
|
||||
const matches = fuzzysort.go(providerID, availableProviders, {
|
||||
limit: 3,
|
||||
threshold: -10000,
|
||||
})
|
||||
const suggestions = matches.map((m) => m.target)
|
||||
throw new ModelNotFoundError({ providerID, modelID, suggestions })
|
||||
}
|
||||
@@ -1333,14 +1366,17 @@ export namespace Provider {
|
||||
const info = provider.models[modelID]
|
||||
if (!info) {
|
||||
const availableModels = Object.keys(provider.models)
|
||||
const matches = fuzzysort.go(modelID, availableModels, { limit: 3, threshold: -10000 })
|
||||
const matches = fuzzysort.go(modelID, availableModels, {
|
||||
limit: 3,
|
||||
threshold: -10000,
|
||||
})
|
||||
const suggestions = matches.map((m) => m.target)
|
||||
throw new ModelNotFoundError({ providerID, modelID, suggestions })
|
||||
}
|
||||
return info
|
||||
}
|
||||
|
||||
export async function getLanguage(model: Model): Promise<LanguageModelV2> {
|
||||
export async function getLanguage(model: Model): Promise<LanguageModelV3> {
|
||||
const s = await state()
|
||||
const key = `${model.providerID}/${model.id}`
|
||||
if (s.models.has(key)) return s.models.get(key)!
|
||||
@@ -1350,7 +1386,10 @@ export namespace Provider {
|
||||
|
||||
try {
|
||||
const language = s.modelLoaders[model.providerID]
|
||||
? await s.modelLoaders[model.providerID](sdk, model.api.id, { ...provider.options, ...model.options })
|
||||
? await s.modelLoaders[model.providerID](sdk, model.api.id, {
|
||||
...provider.options,
|
||||
...model.options,
|
||||
})
|
||||
: sdk.languageModel(model.api.id)
|
||||
s.models.set(key, language)
|
||||
return language
|
||||
@@ -1457,9 +1496,9 @@ export namespace Provider {
|
||||
if (cfg.model) return parseModel(cfg.model)
|
||||
|
||||
const providers = await list()
|
||||
const recent = (await Filesystem.readJson<{ recent?: { providerID: ProviderID; modelID: ModelID }[] }>(
|
||||
path.join(Global.Path.state, "model.json"),
|
||||
)
|
||||
const recent = (await Filesystem.readJson<{
|
||||
recent?: { providerID: ProviderID; modelID: ModelID }[]
|
||||
}>(path.join(Global.Path.state, "model.json"))
|
||||
.then((x) => (Array.isArray(x.recent) ? x.recent : []))
|
||||
.catch(() => [])) as { providerID: ProviderID; modelID: ModelID }[]
|
||||
for (const entry of recent) {
|
||||
|
||||
@@ -1,16 +1,16 @@
|
||||
import {
|
||||
type LanguageModelV2Prompt,
|
||||
type SharedV2ProviderMetadata,
|
||||
type LanguageModelV3Prompt,
|
||||
type SharedV3ProviderOptions,
|
||||
UnsupportedFunctionalityError,
|
||||
} from "@ai-sdk/provider"
|
||||
import type { OpenAICompatibleChatPrompt } from "./openai-compatible-api-types"
|
||||
import { convertToBase64 } from "@ai-sdk/provider-utils"
|
||||
|
||||
function getOpenAIMetadata(message: { providerOptions?: SharedV2ProviderMetadata }) {
|
||||
function getOpenAIMetadata(message: { providerOptions?: SharedV3ProviderOptions }) {
|
||||
return message?.providerOptions?.copilot ?? {}
|
||||
}
|
||||
|
||||
export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV2Prompt): OpenAICompatibleChatPrompt {
|
||||
export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV3Prompt): OpenAICompatibleChatPrompt {
|
||||
const messages: OpenAICompatibleChatPrompt = []
|
||||
for (const { role, content, ...message } of prompt) {
|
||||
const metadata = getOpenAIMetadata({ ...message })
|
||||
@@ -127,6 +127,9 @@ export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV2Pro
|
||||
|
||||
case "tool": {
|
||||
for (const toolResponse of content) {
|
||||
if (toolResponse.type === "tool-approval-response") {
|
||||
continue
|
||||
}
|
||||
const output = toolResponse.output
|
||||
|
||||
let contentValue: string
|
||||
@@ -135,6 +138,9 @@ export function convertToOpenAICompatibleChatMessages(prompt: LanguageModelV2Pro
|
||||
case "error-text":
|
||||
contentValue = output.value
|
||||
break
|
||||
case "execution-denied":
|
||||
contentValue = output.reason ?? "Tool execution denied."
|
||||
break
|
||||
case "content":
|
||||
case "json":
|
||||
case "error-json":
|
||||
|
||||
@@ -1,6 +1,8 @@
|
||||
import type { LanguageModelV2FinishReason } from "@ai-sdk/provider"
|
||||
import type { LanguageModelV3FinishReason } from "@ai-sdk/provider"
|
||||
|
||||
export function mapOpenAICompatibleFinishReason(finishReason: string | null | undefined): LanguageModelV2FinishReason {
|
||||
export function mapOpenAICompatibleFinishReason(
|
||||
finishReason: string | null | undefined,
|
||||
): LanguageModelV3FinishReason["unified"] {
|
||||
switch (finishReason) {
|
||||
case "stop":
|
||||
return "stop"
|
||||
@@ -12,6 +14,6 @@ export function mapOpenAICompatibleFinishReason(finishReason: string | null | un
|
||||
case "tool_calls":
|
||||
return "tool-calls"
|
||||
default:
|
||||
return "unknown"
|
||||
return "other"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,12 +1,12 @@
|
||||
import {
|
||||
APICallError,
|
||||
InvalidResponseDataError,
|
||||
type LanguageModelV2,
|
||||
type LanguageModelV2CallWarning,
|
||||
type LanguageModelV2Content,
|
||||
type LanguageModelV2FinishReason,
|
||||
type LanguageModelV2StreamPart,
|
||||
type SharedV2ProviderMetadata,
|
||||
type LanguageModelV3,
|
||||
type LanguageModelV3CallOptions,
|
||||
type LanguageModelV3Content,
|
||||
type LanguageModelV3StreamPart,
|
||||
type SharedV3ProviderMetadata,
|
||||
type SharedV3Warning,
|
||||
} from "@ai-sdk/provider"
|
||||
import {
|
||||
combineHeaders,
|
||||
@@ -47,11 +47,11 @@ export type OpenAICompatibleChatConfig = {
|
||||
/**
|
||||
* The supported URLs for the model.
|
||||
*/
|
||||
supportedUrls?: () => LanguageModelV2["supportedUrls"]
|
||||
supportedUrls?: () => LanguageModelV3["supportedUrls"]
|
||||
}
|
||||
|
||||
export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
readonly specificationVersion = "v2"
|
||||
export class OpenAICompatibleChatLanguageModel implements LanguageModelV3 {
|
||||
readonly specificationVersion = "v3"
|
||||
|
||||
readonly supportsStructuredOutputs: boolean
|
||||
|
||||
@@ -98,8 +98,8 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
seed,
|
||||
toolChoice,
|
||||
tools,
|
||||
}: Parameters<LanguageModelV2["doGenerate"]>[0]) {
|
||||
const warnings: LanguageModelV2CallWarning[] = []
|
||||
}: LanguageModelV3CallOptions) {
|
||||
const warnings: SharedV3Warning[] = []
|
||||
|
||||
// Parse provider options
|
||||
const compatibleOptions = Object.assign(
|
||||
@@ -116,13 +116,13 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
)
|
||||
|
||||
if (topK != null) {
|
||||
warnings.push({ type: "unsupported-setting", setting: "topK" })
|
||||
warnings.push({ type: "unsupported", feature: "topK" })
|
||||
}
|
||||
|
||||
if (responseFormat?.type === "json" && responseFormat.schema != null && !this.supportsStructuredOutputs) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "responseFormat",
|
||||
type: "unsupported",
|
||||
feature: "responseFormat",
|
||||
details: "JSON response format schema is only supported with structuredOutputs",
|
||||
})
|
||||
}
|
||||
@@ -189,9 +189,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
}
|
||||
|
||||
async doGenerate(
|
||||
options: Parameters<LanguageModelV2["doGenerate"]>[0],
|
||||
): Promise<Awaited<ReturnType<LanguageModelV2["doGenerate"]>>> {
|
||||
async doGenerate(options: LanguageModelV3CallOptions) {
|
||||
const { args, warnings } = await this.getArgs({ ...options })
|
||||
|
||||
const body = JSON.stringify(args)
|
||||
@@ -214,7 +212,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
})
|
||||
|
||||
const choice = responseBody.choices[0]
|
||||
const content: Array<LanguageModelV2Content> = []
|
||||
const content: Array<LanguageModelV3Content> = []
|
||||
|
||||
// text content:
|
||||
const text = choice.message.content
|
||||
@@ -257,7 +255,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
|
||||
// provider metadata:
|
||||
const providerMetadata: SharedV2ProviderMetadata = {
|
||||
const providerMetadata: SharedV3ProviderMetadata = {
|
||||
[this.providerOptionsName]: {},
|
||||
...(await this.config.metadataExtractor?.extractMetadata?.({
|
||||
parsedBody: rawResponse,
|
||||
@@ -275,13 +273,23 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
|
||||
return {
|
||||
content,
|
||||
finishReason: mapOpenAICompatibleFinishReason(choice.finish_reason),
|
||||
finishReason: {
|
||||
unified: mapOpenAICompatibleFinishReason(choice.finish_reason),
|
||||
raw: choice.finish_reason ?? undefined,
|
||||
},
|
||||
usage: {
|
||||
inputTokens: responseBody.usage?.prompt_tokens ?? undefined,
|
||||
outputTokens: responseBody.usage?.completion_tokens ?? undefined,
|
||||
totalTokens: responseBody.usage?.total_tokens ?? undefined,
|
||||
reasoningTokens: responseBody.usage?.completion_tokens_details?.reasoning_tokens ?? undefined,
|
||||
cachedInputTokens: responseBody.usage?.prompt_tokens_details?.cached_tokens ?? undefined,
|
||||
inputTokens: {
|
||||
total: responseBody.usage?.prompt_tokens ?? undefined,
|
||||
noCache: undefined,
|
||||
cacheRead: responseBody.usage?.prompt_tokens_details?.cached_tokens ?? undefined,
|
||||
cacheWrite: undefined,
|
||||
},
|
||||
outputTokens: {
|
||||
total: responseBody.usage?.completion_tokens ?? undefined,
|
||||
text: undefined,
|
||||
reasoning: responseBody.usage?.completion_tokens_details?.reasoning_tokens ?? undefined,
|
||||
},
|
||||
raw: responseBody.usage ?? undefined,
|
||||
},
|
||||
providerMetadata,
|
||||
request: { body },
|
||||
@@ -294,9 +302,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
}
|
||||
|
||||
async doStream(
|
||||
options: Parameters<LanguageModelV2["doStream"]>[0],
|
||||
): Promise<Awaited<ReturnType<LanguageModelV2["doStream"]>>> {
|
||||
async doStream(options: LanguageModelV3CallOptions) {
|
||||
const { args, warnings } = await this.getArgs({ ...options })
|
||||
|
||||
const body = {
|
||||
@@ -332,7 +338,13 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
hasFinished: boolean
|
||||
}> = []
|
||||
|
||||
let finishReason: LanguageModelV2FinishReason = "unknown"
|
||||
let finishReason: {
|
||||
unified: ReturnType<typeof mapOpenAICompatibleFinishReason>
|
||||
raw: string | undefined
|
||||
} = {
|
||||
unified: "other",
|
||||
raw: undefined,
|
||||
}
|
||||
const usage: {
|
||||
completionTokens: number | undefined
|
||||
completionTokensDetails: {
|
||||
@@ -366,7 +378,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
|
||||
return {
|
||||
stream: response.pipeThrough(
|
||||
new TransformStream<ParseResult<z.infer<typeof this.chunkSchema>>, LanguageModelV2StreamPart>({
|
||||
new TransformStream<ParseResult<z.infer<typeof this.chunkSchema>>, LanguageModelV3StreamPart>({
|
||||
start(controller) {
|
||||
controller.enqueue({ type: "stream-start", warnings })
|
||||
},
|
||||
@@ -380,7 +392,10 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
|
||||
// handle failed chunk parsing / validation:
|
||||
if (!chunk.success) {
|
||||
finishReason = "error"
|
||||
finishReason = {
|
||||
unified: "error",
|
||||
raw: undefined,
|
||||
}
|
||||
controller.enqueue({ type: "error", error: chunk.error })
|
||||
return
|
||||
}
|
||||
@@ -390,7 +405,10 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
|
||||
// handle error chunks:
|
||||
if ("error" in value) {
|
||||
finishReason = "error"
|
||||
finishReason = {
|
||||
unified: "error",
|
||||
raw: undefined,
|
||||
}
|
||||
controller.enqueue({ type: "error", error: value.error.message })
|
||||
return
|
||||
}
|
||||
@@ -435,7 +453,10 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
const choice = value.choices[0]
|
||||
|
||||
if (choice?.finish_reason != null) {
|
||||
finishReason = mapOpenAICompatibleFinishReason(choice.finish_reason)
|
||||
finishReason = {
|
||||
unified: mapOpenAICompatibleFinishReason(choice.finish_reason),
|
||||
raw: choice.finish_reason ?? undefined,
|
||||
}
|
||||
}
|
||||
|
||||
if (choice?.delta == null) {
|
||||
@@ -652,7 +673,7 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
})
|
||||
}
|
||||
|
||||
const providerMetadata: SharedV2ProviderMetadata = {
|
||||
const providerMetadata: SharedV3ProviderMetadata = {
|
||||
[providerOptionsName]: {},
|
||||
// Include reasoning_opaque for Copilot multi-turn reasoning
|
||||
...(reasoningOpaque ? { copilot: { reasoningOpaque } } : {}),
|
||||
@@ -671,11 +692,25 @@ export class OpenAICompatibleChatLanguageModel implements LanguageModelV2 {
|
||||
type: "finish",
|
||||
finishReason,
|
||||
usage: {
|
||||
inputTokens: usage.promptTokens ?? undefined,
|
||||
outputTokens: usage.completionTokens ?? undefined,
|
||||
totalTokens: usage.totalTokens ?? undefined,
|
||||
reasoningTokens: usage.completionTokensDetails.reasoningTokens ?? undefined,
|
||||
cachedInputTokens: usage.promptTokensDetails.cachedTokens ?? undefined,
|
||||
inputTokens: {
|
||||
total: usage.promptTokens,
|
||||
noCache:
|
||||
usage.promptTokens != undefined && usage.promptTokensDetails.cachedTokens != undefined
|
||||
? usage.promptTokens - usage.promptTokensDetails.cachedTokens
|
||||
: undefined,
|
||||
cacheRead: usage.promptTokensDetails.cachedTokens,
|
||||
cacheWrite: undefined,
|
||||
},
|
||||
outputTokens: {
|
||||
total: usage.completionTokens,
|
||||
text: undefined,
|
||||
reasoning: usage.completionTokensDetails.reasoningTokens,
|
||||
},
|
||||
raw: {
|
||||
prompt_tokens: usage.promptTokens ?? null,
|
||||
completion_tokens: usage.completionTokens ?? null,
|
||||
total_tokens: usage.totalTokens ?? null,
|
||||
},
|
||||
},
|
||||
providerMetadata,
|
||||
})
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import type { SharedV2ProviderMetadata } from "@ai-sdk/provider"
|
||||
import type { SharedV3ProviderMetadata } from "@ai-sdk/provider"
|
||||
|
||||
/**
|
||||
Extracts provider-specific metadata from API responses.
|
||||
@@ -14,7 +14,7 @@ export type MetadataExtractor = {
|
||||
* @returns Provider-specific metadata or undefined if no metadata is available.
|
||||
* The metadata should be under a key indicating the provider id.
|
||||
*/
|
||||
extractMetadata: ({ parsedBody }: { parsedBody: unknown }) => Promise<SharedV2ProviderMetadata | undefined>
|
||||
extractMetadata: ({ parsedBody }: { parsedBody: unknown }) => Promise<SharedV3ProviderMetadata | undefined>
|
||||
|
||||
/**
|
||||
* Creates an extractor for handling streaming responses. The returned object provides
|
||||
@@ -39,6 +39,6 @@ export type MetadataExtractor = {
|
||||
* @returns Provider-specific metadata or undefined if no metadata is available.
|
||||
* The metadata should be under a key indicating the provider id.
|
||||
*/
|
||||
buildMetadata(): SharedV2ProviderMetadata | undefined
|
||||
buildMetadata(): SharedV3ProviderMetadata | undefined
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,15 +1,11 @@
|
||||
import {
|
||||
type LanguageModelV2CallOptions,
|
||||
type LanguageModelV2CallWarning,
|
||||
UnsupportedFunctionalityError,
|
||||
} from "@ai-sdk/provider"
|
||||
import { type LanguageModelV3CallOptions, type SharedV3Warning, UnsupportedFunctionalityError } from "@ai-sdk/provider"
|
||||
|
||||
export function prepareTools({
|
||||
tools,
|
||||
toolChoice,
|
||||
}: {
|
||||
tools: LanguageModelV2CallOptions["tools"]
|
||||
toolChoice?: LanguageModelV2CallOptions["toolChoice"]
|
||||
tools: LanguageModelV3CallOptions["tools"]
|
||||
toolChoice?: LanguageModelV3CallOptions["toolChoice"]
|
||||
}): {
|
||||
tools:
|
||||
| undefined
|
||||
@@ -22,12 +18,12 @@ export function prepareTools({
|
||||
}
|
||||
}>
|
||||
toolChoice: { type: "function"; function: { name: string } } | "auto" | "none" | "required" | undefined
|
||||
toolWarnings: LanguageModelV2CallWarning[]
|
||||
toolWarnings: SharedV3Warning[]
|
||||
} {
|
||||
// when the tools array is empty, change it to undefined to prevent errors:
|
||||
tools = tools?.length ? tools : undefined
|
||||
|
||||
const toolWarnings: LanguageModelV2CallWarning[] = []
|
||||
const toolWarnings: SharedV3Warning[] = []
|
||||
|
||||
if (tools == null) {
|
||||
return { tools: undefined, toolChoice: undefined, toolWarnings }
|
||||
@@ -43,8 +39,8 @@ export function prepareTools({
|
||||
}> = []
|
||||
|
||||
for (const tool of tools) {
|
||||
if (tool.type === "provider-defined") {
|
||||
toolWarnings.push({ type: "unsupported-tool", tool })
|
||||
if (tool.type === "provider") {
|
||||
toolWarnings.push({ type: "unsupported", feature: `tool type: ${tool.type}` })
|
||||
} else {
|
||||
openaiCompatTools.push({
|
||||
type: "function",
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import type { LanguageModelV2 } from "@ai-sdk/provider"
|
||||
import type { LanguageModelV3 } from "@ai-sdk/provider"
|
||||
import { type FetchFunction, withoutTrailingSlash, withUserAgentSuffix } from "@ai-sdk/provider-utils"
|
||||
import { OpenAICompatibleChatLanguageModel } from "./chat/openai-compatible-chat-language-model"
|
||||
import { OpenAIResponsesLanguageModel } from "./responses/openai-responses-language-model"
|
||||
@@ -36,10 +36,10 @@ export interface OpenaiCompatibleProviderSettings {
|
||||
}
|
||||
|
||||
export interface OpenaiCompatibleProvider {
|
||||
(modelId: OpenaiCompatibleModelId): LanguageModelV2
|
||||
chat(modelId: OpenaiCompatibleModelId): LanguageModelV2
|
||||
responses(modelId: OpenaiCompatibleModelId): LanguageModelV2
|
||||
languageModel(modelId: OpenaiCompatibleModelId): LanguageModelV2
|
||||
(modelId: OpenaiCompatibleModelId): LanguageModelV3
|
||||
chat(modelId: OpenaiCompatibleModelId): LanguageModelV3
|
||||
responses(modelId: OpenaiCompatibleModelId): LanguageModelV3
|
||||
languageModel(modelId: OpenaiCompatibleModelId): LanguageModelV3
|
||||
|
||||
// embeddingModel(modelId: any): EmbeddingModelV2
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import {
|
||||
type LanguageModelV2CallWarning,
|
||||
type LanguageModelV2Prompt,
|
||||
type LanguageModelV2ToolCallPart,
|
||||
type LanguageModelV3Prompt,
|
||||
type LanguageModelV3ToolCallPart,
|
||||
type SharedV3Warning,
|
||||
UnsupportedFunctionalityError,
|
||||
} from "@ai-sdk/provider"
|
||||
import { convertToBase64, parseProviderOptions } from "@ai-sdk/provider-utils"
|
||||
@@ -25,17 +25,18 @@ export async function convertToOpenAIResponsesInput({
|
||||
store,
|
||||
hasLocalShellTool = false,
|
||||
}: {
|
||||
prompt: LanguageModelV2Prompt
|
||||
prompt: LanguageModelV3Prompt
|
||||
systemMessageMode: "system" | "developer" | "remove"
|
||||
fileIdPrefixes?: readonly string[]
|
||||
store: boolean
|
||||
hasLocalShellTool?: boolean
|
||||
}): Promise<{
|
||||
input: OpenAIResponsesInput
|
||||
warnings: Array<LanguageModelV2CallWarning>
|
||||
warnings: Array<SharedV3Warning>
|
||||
}> {
|
||||
const input: OpenAIResponsesInput = []
|
||||
const warnings: Array<LanguageModelV2CallWarning> = []
|
||||
const warnings: Array<SharedV3Warning> = []
|
||||
const processedApprovalIds = new Set<string>()
|
||||
|
||||
for (const { role, content } of prompt) {
|
||||
switch (role) {
|
||||
@@ -118,7 +119,7 @@ export async function convertToOpenAIResponsesInput({
|
||||
|
||||
case "assistant": {
|
||||
const reasoningMessages: Record<string, OpenAIResponsesReasoning> = {}
|
||||
const toolCallParts: Record<string, LanguageModelV2ToolCallPart> = {}
|
||||
const toolCallParts: Record<string, LanguageModelV3ToolCallPart> = {}
|
||||
|
||||
for (const part of content) {
|
||||
switch (part.type) {
|
||||
@@ -251,8 +252,36 @@ export async function convertToOpenAIResponsesInput({
|
||||
|
||||
case "tool": {
|
||||
for (const part of content) {
|
||||
if (part.type === "tool-approval-response") {
|
||||
if (processedApprovalIds.has(part.approvalId)) {
|
||||
continue
|
||||
}
|
||||
processedApprovalIds.add(part.approvalId)
|
||||
|
||||
if (store) {
|
||||
input.push({
|
||||
type: "item_reference",
|
||||
id: part.approvalId,
|
||||
})
|
||||
}
|
||||
|
||||
input.push({
|
||||
type: "mcp_approval_response",
|
||||
approval_request_id: part.approvalId,
|
||||
approve: part.approved,
|
||||
})
|
||||
continue
|
||||
}
|
||||
const output = part.output
|
||||
|
||||
if (output.type === "execution-denied") {
|
||||
const approvalId = (output.providerOptions?.openai as { approvalId?: string } | undefined)?.approvalId
|
||||
|
||||
if (approvalId) {
|
||||
continue
|
||||
}
|
||||
}
|
||||
|
||||
if (hasLocalShellTool && part.toolName === "local_shell" && output.type === "json") {
|
||||
input.push({
|
||||
type: "local_shell_call_output",
|
||||
@@ -268,6 +297,9 @@ export async function convertToOpenAIResponsesInput({
|
||||
case "error-text":
|
||||
contentValue = output.value
|
||||
break
|
||||
case "execution-denied":
|
||||
contentValue = output.reason ?? "Tool execution denied."
|
||||
break
|
||||
case "content":
|
||||
case "json":
|
||||
case "error-json":
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import type { LanguageModelV2FinishReason } from "@ai-sdk/provider"
|
||||
import type { LanguageModelV3FinishReason } from "@ai-sdk/provider"
|
||||
|
||||
export function mapOpenAIResponseFinishReason({
|
||||
finishReason,
|
||||
@@ -7,7 +7,7 @@ export function mapOpenAIResponseFinishReason({
|
||||
finishReason: string | null | undefined
|
||||
// flag that checks if there have been client-side tool calls (not executed by openai)
|
||||
hasFunctionCall: boolean
|
||||
}): LanguageModelV2FinishReason {
|
||||
}): LanguageModelV3FinishReason["unified"] {
|
||||
switch (finishReason) {
|
||||
case undefined:
|
||||
case null:
|
||||
@@ -17,6 +17,6 @@ export function mapOpenAIResponseFinishReason({
|
||||
case "content_filter":
|
||||
return "content-filter"
|
||||
default:
|
||||
return hasFunctionCall ? "tool-calls" : "unknown"
|
||||
return hasFunctionCall ? "tool-calls" : "other"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -13,6 +13,7 @@ export type OpenAIResponsesInputItem =
|
||||
| OpenAIResponsesLocalShellCallOutput
|
||||
| OpenAIResponsesReasoning
|
||||
| OpenAIResponsesItemReference
|
||||
| OpenAIResponsesMcpApprovalResponse
|
||||
|
||||
export type OpenAIResponsesIncludeValue =
|
||||
| "web_search_call.action.sources"
|
||||
@@ -93,6 +94,12 @@ export type OpenAIResponsesItemReference = {
|
||||
id: string
|
||||
}
|
||||
|
||||
export type OpenAIResponsesMcpApprovalResponse = {
|
||||
type: "mcp_approval_response"
|
||||
approval_request_id: string
|
||||
approve: boolean
|
||||
}
|
||||
|
||||
/**
|
||||
* A filter used to compare a specified attribute key to a given value using a defined comparison operation.
|
||||
*/
|
||||
|
||||
@@ -1,13 +1,13 @@
|
||||
import {
|
||||
APICallError,
|
||||
type LanguageModelV2,
|
||||
type LanguageModelV2CallWarning,
|
||||
type LanguageModelV2Content,
|
||||
type LanguageModelV2FinishReason,
|
||||
type LanguageModelV2ProviderDefinedTool,
|
||||
type LanguageModelV2StreamPart,
|
||||
type LanguageModelV2Usage,
|
||||
type SharedV2ProviderMetadata,
|
||||
type JSONValue,
|
||||
type LanguageModelV3,
|
||||
type LanguageModelV3CallOptions,
|
||||
type LanguageModelV3Content,
|
||||
type LanguageModelV3ProviderTool,
|
||||
type LanguageModelV3StreamPart,
|
||||
type SharedV3ProviderMetadata,
|
||||
type SharedV3Warning,
|
||||
} from "@ai-sdk/provider"
|
||||
import {
|
||||
combineHeaders,
|
||||
@@ -128,8 +128,8 @@ const LOGPROBS_SCHEMA = z.array(
|
||||
}),
|
||||
)
|
||||
|
||||
export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
readonly specificationVersion = "v2"
|
||||
export class OpenAIResponsesLanguageModel implements LanguageModelV3 {
|
||||
readonly specificationVersion = "v3"
|
||||
|
||||
readonly modelId: OpenAIResponsesModelId
|
||||
|
||||
@@ -163,34 +163,34 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
tools,
|
||||
toolChoice,
|
||||
responseFormat,
|
||||
}: Parameters<LanguageModelV2["doGenerate"]>[0]) {
|
||||
const warnings: LanguageModelV2CallWarning[] = []
|
||||
}: LanguageModelV3CallOptions) {
|
||||
const warnings: SharedV3Warning[] = []
|
||||
const modelConfig = getResponsesModelConfig(this.modelId)
|
||||
|
||||
if (topK != null) {
|
||||
warnings.push({ type: "unsupported-setting", setting: "topK" })
|
||||
warnings.push({ type: "unsupported", feature: "topK" })
|
||||
}
|
||||
|
||||
if (seed != null) {
|
||||
warnings.push({ type: "unsupported-setting", setting: "seed" })
|
||||
warnings.push({ type: "unsupported", feature: "seed" })
|
||||
}
|
||||
|
||||
if (presencePenalty != null) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "presencePenalty",
|
||||
type: "unsupported",
|
||||
feature: "presencePenalty",
|
||||
})
|
||||
}
|
||||
|
||||
if (frequencyPenalty != null) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "frequencyPenalty",
|
||||
type: "unsupported",
|
||||
feature: "frequencyPenalty",
|
||||
})
|
||||
}
|
||||
|
||||
if (stopSequences != null) {
|
||||
warnings.push({ type: "unsupported-setting", setting: "stopSequences" })
|
||||
warnings.push({ type: "unsupported", feature: "stopSequences" })
|
||||
}
|
||||
|
||||
const openaiOptions = await parseProviderOptions({
|
||||
@@ -218,7 +218,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
|
||||
function hasOpenAITool(id: string) {
|
||||
return tools?.find((tool) => tool.type === "provider-defined" && tool.id === id) != null
|
||||
return tools?.find((tool) => tool.type === "provider" && tool.id === id) != null
|
||||
}
|
||||
|
||||
// when logprobs are requested, automatically include them:
|
||||
@@ -237,9 +237,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
const webSearchToolName = (
|
||||
tools?.find(
|
||||
(tool) =>
|
||||
tool.type === "provider-defined" &&
|
||||
(tool.id === "openai.web_search" || tool.id === "openai.web_search_preview"),
|
||||
) as LanguageModelV2ProviderDefinedTool | undefined
|
||||
tool.type === "provider" && (tool.id === "openai.web_search" || tool.id === "openai.web_search_preview"),
|
||||
) as LanguageModelV3ProviderTool | undefined
|
||||
)?.name
|
||||
|
||||
if (webSearchToolName) {
|
||||
@@ -315,8 +314,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
if (baseArgs.temperature != null) {
|
||||
baseArgs.temperature = undefined
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "temperature",
|
||||
type: "unsupported",
|
||||
feature: "temperature",
|
||||
details: "temperature is not supported for reasoning models",
|
||||
})
|
||||
}
|
||||
@@ -324,24 +323,24 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
if (baseArgs.top_p != null) {
|
||||
baseArgs.top_p = undefined
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "topP",
|
||||
type: "unsupported",
|
||||
feature: "topP",
|
||||
details: "topP is not supported for reasoning models",
|
||||
})
|
||||
}
|
||||
} else {
|
||||
if (openaiOptions?.reasoningEffort != null) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "reasoningEffort",
|
||||
type: "unsupported",
|
||||
feature: "reasoningEffort",
|
||||
details: "reasoningEffort is not supported for non-reasoning models",
|
||||
})
|
||||
}
|
||||
|
||||
if (openaiOptions?.reasoningSummary != null) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "reasoningSummary",
|
||||
type: "unsupported",
|
||||
feature: "reasoningSummary",
|
||||
details: "reasoningSummary is not supported for non-reasoning models",
|
||||
})
|
||||
}
|
||||
@@ -350,8 +349,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
// Validate flex processing support
|
||||
if (openaiOptions?.serviceTier === "flex" && !modelConfig.supportsFlexProcessing) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "serviceTier",
|
||||
type: "unsupported",
|
||||
feature: "serviceTier",
|
||||
details: "flex processing is only available for o3, o4-mini, and gpt-5 models",
|
||||
})
|
||||
// Remove from args if not supported
|
||||
@@ -361,8 +360,8 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
// Validate priority processing support
|
||||
if (openaiOptions?.serviceTier === "priority" && !modelConfig.supportsPriorityProcessing) {
|
||||
warnings.push({
|
||||
type: "unsupported-setting",
|
||||
setting: "serviceTier",
|
||||
type: "unsupported",
|
||||
feature: "serviceTier",
|
||||
details:
|
||||
"priority processing is only available for supported models (gpt-4, gpt-5, gpt-5-mini, o3, o4-mini) and requires Enterprise access. gpt-5-nano is not supported",
|
||||
})
|
||||
@@ -391,9 +390,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
}
|
||||
|
||||
async doGenerate(
|
||||
options: Parameters<LanguageModelV2["doGenerate"]>[0],
|
||||
): Promise<Awaited<ReturnType<LanguageModelV2["doGenerate"]>>> {
|
||||
async doGenerate(options: LanguageModelV3CallOptions) {
|
||||
const { args: body, warnings, webSearchToolName } = await this.getArgs(options)
|
||||
const url = this.config.url({
|
||||
path: "/responses",
|
||||
@@ -508,7 +505,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
})
|
||||
}
|
||||
|
||||
const content: Array<LanguageModelV2Content> = []
|
||||
const content: Array<LanguageModelV3Content> = []
|
||||
const logprobs: Array<z.infer<typeof LOGPROBS_SCHEMA>> = []
|
||||
|
||||
// flag that checks if there have been client-side tool calls (not executed by openai)
|
||||
@@ -554,7 +551,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
result: {
|
||||
result: part.result,
|
||||
} satisfies z.infer<typeof imageGenerationOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
|
||||
break
|
||||
@@ -648,7 +644,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
toolCallId: part.id,
|
||||
toolName: webSearchToolName ?? "web_search",
|
||||
result: { status: part.status },
|
||||
providerExecuted: true,
|
||||
})
|
||||
|
||||
break
|
||||
@@ -671,7 +666,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
type: "computer_use_tool_result",
|
||||
status: part.status || "completed",
|
||||
},
|
||||
providerExecuted: true,
|
||||
})
|
||||
break
|
||||
}
|
||||
@@ -693,14 +687,13 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
queries: part.queries,
|
||||
results:
|
||||
part.results?.map((result) => ({
|
||||
attributes: result.attributes,
|
||||
attributes: result.attributes as Record<string, JSONValue>,
|
||||
fileId: result.file_id,
|
||||
filename: result.filename,
|
||||
score: result.score,
|
||||
text: result.text,
|
||||
})) ?? null,
|
||||
} satisfies z.infer<typeof fileSearchOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
break
|
||||
}
|
||||
@@ -724,14 +717,13 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
result: {
|
||||
outputs: part.outputs,
|
||||
} satisfies z.infer<typeof codeInterpreterOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const providerMetadata: SharedV2ProviderMetadata = {
|
||||
const providerMetadata: SharedV3ProviderMetadata = {
|
||||
openai: { responseId: response.id },
|
||||
}
|
||||
|
||||
@@ -745,16 +737,29 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
|
||||
return {
|
||||
content,
|
||||
finishReason: mapOpenAIResponseFinishReason({
|
||||
finishReason: response.incomplete_details?.reason,
|
||||
hasFunctionCall,
|
||||
}),
|
||||
finishReason: {
|
||||
unified: mapOpenAIResponseFinishReason({
|
||||
finishReason: response.incomplete_details?.reason,
|
||||
hasFunctionCall,
|
||||
}),
|
||||
raw: response.incomplete_details?.reason,
|
||||
},
|
||||
usage: {
|
||||
inputTokens: response.usage.input_tokens,
|
||||
outputTokens: response.usage.output_tokens,
|
||||
totalTokens: response.usage.input_tokens + response.usage.output_tokens,
|
||||
reasoningTokens: response.usage.output_tokens_details?.reasoning_tokens ?? undefined,
|
||||
cachedInputTokens: response.usage.input_tokens_details?.cached_tokens ?? undefined,
|
||||
inputTokens: {
|
||||
total: response.usage.input_tokens,
|
||||
noCache:
|
||||
response.usage.input_tokens_details?.cached_tokens != null
|
||||
? response.usage.input_tokens - response.usage.input_tokens_details.cached_tokens
|
||||
: undefined,
|
||||
cacheRead: response.usage.input_tokens_details?.cached_tokens ?? undefined,
|
||||
cacheWrite: undefined,
|
||||
},
|
||||
outputTokens: {
|
||||
total: response.usage.output_tokens,
|
||||
text: undefined,
|
||||
reasoning: response.usage.output_tokens_details?.reasoning_tokens ?? undefined,
|
||||
},
|
||||
raw: response.usage,
|
||||
},
|
||||
request: { body },
|
||||
response: {
|
||||
@@ -769,9 +774,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
}
|
||||
}
|
||||
|
||||
async doStream(
|
||||
options: Parameters<LanguageModelV2["doStream"]>[0],
|
||||
): Promise<Awaited<ReturnType<LanguageModelV2["doStream"]>>> {
|
||||
async doStream(options: LanguageModelV3CallOptions) {
|
||||
const { args: body, warnings, webSearchToolName } = await this.getArgs(options)
|
||||
|
||||
const { responseHeaders, value: response } = await postJsonToApi({
|
||||
@@ -792,11 +795,25 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
|
||||
const self = this
|
||||
|
||||
let finishReason: LanguageModelV2FinishReason = "unknown"
|
||||
const usage: LanguageModelV2Usage = {
|
||||
let finishReason: {
|
||||
unified: ReturnType<typeof mapOpenAIResponseFinishReason>
|
||||
raw: string | undefined
|
||||
} = {
|
||||
unified: "other",
|
||||
raw: undefined,
|
||||
}
|
||||
const usage: {
|
||||
inputTokens: number | undefined
|
||||
outputTokens: number | undefined
|
||||
totalTokens: number | undefined
|
||||
reasoningTokens: number | undefined
|
||||
cachedInputTokens: number | undefined
|
||||
} = {
|
||||
inputTokens: undefined,
|
||||
outputTokens: undefined,
|
||||
totalTokens: undefined,
|
||||
reasoningTokens: undefined,
|
||||
cachedInputTokens: undefined,
|
||||
}
|
||||
const logprobs: Array<z.infer<typeof LOGPROBS_SCHEMA>> = []
|
||||
let responseId: string | null = null
|
||||
@@ -837,7 +854,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
|
||||
return {
|
||||
stream: response.pipeThrough(
|
||||
new TransformStream<ParseResult<z.infer<typeof openaiResponsesChunkSchema>>, LanguageModelV2StreamPart>({
|
||||
new TransformStream<ParseResult<z.infer<typeof openaiResponsesChunkSchema>>, LanguageModelV3StreamPart>({
|
||||
start(controller) {
|
||||
controller.enqueue({ type: "stream-start", warnings })
|
||||
},
|
||||
@@ -849,7 +866,10 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
|
||||
// handle failed chunk parsing / validation:
|
||||
if (!chunk.success) {
|
||||
finishReason = "error"
|
||||
finishReason = {
|
||||
unified: "error",
|
||||
raw: undefined,
|
||||
}
|
||||
controller.enqueue({ type: "error", error: chunk.error })
|
||||
return
|
||||
}
|
||||
@@ -999,7 +1019,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
toolCallId: value.item.id,
|
||||
toolName: "web_search",
|
||||
result: { status: value.item.status },
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (value.item.type === "computer_call") {
|
||||
ongoingToolCalls[value.output_index] = undefined
|
||||
@@ -1025,7 +1044,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
type: "computer_use_tool_result",
|
||||
status: value.item.status || "completed",
|
||||
},
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (value.item.type === "file_search_call") {
|
||||
ongoingToolCalls[value.output_index] = undefined
|
||||
@@ -1038,14 +1056,13 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
queries: value.item.queries,
|
||||
results:
|
||||
value.item.results?.map((result) => ({
|
||||
attributes: result.attributes,
|
||||
attributes: result.attributes as Record<string, JSONValue>,
|
||||
fileId: result.file_id,
|
||||
filename: result.filename,
|
||||
score: result.score,
|
||||
text: result.text,
|
||||
})) ?? null,
|
||||
} satisfies z.infer<typeof fileSearchOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (value.item.type === "code_interpreter_call") {
|
||||
ongoingToolCalls[value.output_index] = undefined
|
||||
@@ -1057,7 +1074,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
result: {
|
||||
outputs: value.item.outputs,
|
||||
} satisfies z.infer<typeof codeInterpreterOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (value.item.type === "image_generation_call") {
|
||||
controller.enqueue({
|
||||
@@ -1067,7 +1083,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
result: {
|
||||
result: value.item.result,
|
||||
} satisfies z.infer<typeof imageGenerationOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (value.item.type === "local_shell_call") {
|
||||
ongoingToolCalls[value.output_index] = undefined
|
||||
@@ -1137,7 +1152,6 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
result: {
|
||||
result: value.partial_image_b64,
|
||||
} satisfies z.infer<typeof imageGenerationOutputSchema>,
|
||||
providerExecuted: true,
|
||||
})
|
||||
} else if (isResponseCodeInterpreterCallCodeDeltaChunk(value)) {
|
||||
const toolCall = ongoingToolCalls[value.output_index]
|
||||
@@ -1244,10 +1258,13 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
})
|
||||
}
|
||||
} else if (isResponseFinishedChunk(value)) {
|
||||
finishReason = mapOpenAIResponseFinishReason({
|
||||
finishReason: value.response.incomplete_details?.reason,
|
||||
hasFunctionCall,
|
||||
})
|
||||
finishReason = {
|
||||
unified: mapOpenAIResponseFinishReason({
|
||||
finishReason: value.response.incomplete_details?.reason,
|
||||
hasFunctionCall,
|
||||
}),
|
||||
raw: value.response.incomplete_details?.reason ?? undefined,
|
||||
}
|
||||
usage.inputTokens = value.response.usage.input_tokens
|
||||
usage.outputTokens = value.response.usage.output_tokens
|
||||
usage.totalTokens = value.response.usage.input_tokens + value.response.usage.output_tokens
|
||||
@@ -1287,7 +1304,7 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
currentTextId = null
|
||||
}
|
||||
|
||||
const providerMetadata: SharedV2ProviderMetadata = {
|
||||
const providerMetadata: SharedV3ProviderMetadata = {
|
||||
openai: {
|
||||
responseId,
|
||||
},
|
||||
@@ -1304,7 +1321,27 @@ export class OpenAIResponsesLanguageModel implements LanguageModelV2 {
|
||||
controller.enqueue({
|
||||
type: "finish",
|
||||
finishReason,
|
||||
usage,
|
||||
usage: {
|
||||
inputTokens: {
|
||||
total: usage.inputTokens,
|
||||
noCache:
|
||||
usage.inputTokens != null && usage.cachedInputTokens != null
|
||||
? usage.inputTokens - usage.cachedInputTokens
|
||||
: undefined,
|
||||
cacheRead: usage.cachedInputTokens,
|
||||
cacheWrite: undefined,
|
||||
},
|
||||
outputTokens: {
|
||||
total: usage.outputTokens,
|
||||
text: undefined,
|
||||
reasoning: usage.reasoningTokens,
|
||||
},
|
||||
raw: {
|
||||
input_tokens: usage.inputTokens,
|
||||
output_tokens: usage.outputTokens,
|
||||
total_tokens: usage.totalTokens,
|
||||
},
|
||||
},
|
||||
providerMetadata,
|
||||
})
|
||||
},
|
||||
|
||||
@@ -1,8 +1,4 @@
|
||||
import {
|
||||
type LanguageModelV2CallOptions,
|
||||
type LanguageModelV2CallWarning,
|
||||
UnsupportedFunctionalityError,
|
||||
} from "@ai-sdk/provider"
|
||||
import { type LanguageModelV3CallOptions, type SharedV3Warning, UnsupportedFunctionalityError } from "@ai-sdk/provider"
|
||||
import { codeInterpreterArgsSchema } from "./tool/code-interpreter"
|
||||
import { fileSearchArgsSchema } from "./tool/file-search"
|
||||
import { webSearchArgsSchema } from "./tool/web-search"
|
||||
@@ -15,8 +11,8 @@ export function prepareResponsesTools({
|
||||
toolChoice,
|
||||
strictJsonSchema,
|
||||
}: {
|
||||
tools: LanguageModelV2CallOptions["tools"]
|
||||
toolChoice?: LanguageModelV2CallOptions["toolChoice"]
|
||||
tools: LanguageModelV3CallOptions["tools"]
|
||||
toolChoice?: LanguageModelV3CallOptions["toolChoice"]
|
||||
strictJsonSchema: boolean
|
||||
}): {
|
||||
tools?: Array<OpenAIResponsesTool>
|
||||
@@ -30,12 +26,12 @@ export function prepareResponsesTools({
|
||||
| { type: "function"; name: string }
|
||||
| { type: "code_interpreter" }
|
||||
| { type: "image_generation" }
|
||||
toolWarnings: LanguageModelV2CallWarning[]
|
||||
toolWarnings: SharedV3Warning[]
|
||||
} {
|
||||
// when the tools array is empty, change it to undefined to prevent errors:
|
||||
tools = tools?.length ? tools : undefined
|
||||
|
||||
const toolWarnings: LanguageModelV2CallWarning[] = []
|
||||
const toolWarnings: SharedV3Warning[] = []
|
||||
|
||||
if (tools == null) {
|
||||
return { tools: undefined, toolChoice: undefined, toolWarnings }
|
||||
@@ -54,7 +50,7 @@ export function prepareResponsesTools({
|
||||
strict: strictJsonSchema,
|
||||
})
|
||||
break
|
||||
case "provider-defined": {
|
||||
case "provider": {
|
||||
switch (tool.id) {
|
||||
case "openai.file_search": {
|
||||
const args = fileSearchArgsSchema.parse(tool.args)
|
||||
@@ -138,7 +134,7 @@ export function prepareResponsesTools({
|
||||
break
|
||||
}
|
||||
default:
|
||||
toolWarnings.push({ type: "unsupported-tool", tool })
|
||||
toolWarnings.push({ type: "unsupported", feature: "tool type" })
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { z } from "zod/v4"
|
||||
|
||||
export const codeInterpreterInputSchema = z.object({
|
||||
@@ -37,7 +37,7 @@ type CodeInterpreterArgs = {
|
||||
container?: string | { fileIds?: string[] }
|
||||
}
|
||||
|
||||
export const codeInterpreterToolFactory = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
export const codeInterpreterToolFactory = createProviderToolFactoryWithOutputSchema<
|
||||
{
|
||||
/**
|
||||
* The code to run, or null if not available.
|
||||
@@ -76,7 +76,6 @@ export const codeInterpreterToolFactory = createProviderDefinedToolFactoryWithOu
|
||||
CodeInterpreterArgs
|
||||
>({
|
||||
id: "openai.code_interpreter",
|
||||
name: "code_interpreter",
|
||||
inputSchema: codeInterpreterInputSchema,
|
||||
outputSchema: codeInterpreterOutputSchema,
|
||||
})
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import type {
|
||||
OpenAIResponsesFileSearchToolComparisonFilter,
|
||||
OpenAIResponsesFileSearchToolCompoundFilter,
|
||||
@@ -43,7 +43,7 @@ export const fileSearchOutputSchema = z.object({
|
||||
.nullable(),
|
||||
})
|
||||
|
||||
export const fileSearch = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
export const fileSearch = createProviderToolFactoryWithOutputSchema<
|
||||
{},
|
||||
{
|
||||
/**
|
||||
@@ -122,7 +122,6 @@ export const fileSearch = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
}
|
||||
>({
|
||||
id: "openai.file_search",
|
||||
name: "file_search",
|
||||
inputSchema: z.object({}),
|
||||
outputSchema: fileSearchOutputSchema,
|
||||
})
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { z } from "zod/v4"
|
||||
|
||||
export const imageGenerationArgsSchema = z
|
||||
@@ -92,7 +92,7 @@ type ImageGenerationArgs = {
|
||||
size?: "auto" | "1024x1024" | "1024x1536" | "1536x1024"
|
||||
}
|
||||
|
||||
const imageGenerationToolFactory = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
const imageGenerationToolFactory = createProviderToolFactoryWithOutputSchema<
|
||||
{},
|
||||
{
|
||||
/**
|
||||
@@ -103,7 +103,6 @@ const imageGenerationToolFactory = createProviderDefinedToolFactoryWithOutputSch
|
||||
ImageGenerationArgs
|
||||
>({
|
||||
id: "openai.image_generation",
|
||||
name: "image_generation",
|
||||
inputSchema: z.object({}),
|
||||
outputSchema: imageGenerationOutputSchema,
|
||||
})
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactoryWithOutputSchema } from "@ai-sdk/provider-utils"
|
||||
import { z } from "zod/v4"
|
||||
|
||||
export const localShellInputSchema = z.object({
|
||||
@@ -16,7 +16,7 @@ export const localShellOutputSchema = z.object({
|
||||
output: z.string(),
|
||||
})
|
||||
|
||||
export const localShell = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
export const localShell = createProviderToolFactoryWithOutputSchema<
|
||||
{
|
||||
/**
|
||||
* Execute a shell command on the server.
|
||||
@@ -59,7 +59,6 @@ export const localShell = createProviderDefinedToolFactoryWithOutputSchema<
|
||||
{}
|
||||
>({
|
||||
id: "openai.local_shell",
|
||||
name: "local_shell",
|
||||
inputSchema: localShellInputSchema,
|
||||
outputSchema: localShellOutputSchema,
|
||||
})
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactory } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactory } from "@ai-sdk/provider-utils"
|
||||
import { z } from "zod/v4"
|
||||
|
||||
// Args validation schema
|
||||
@@ -40,7 +40,7 @@ export const webSearchPreviewArgsSchema = z.object({
|
||||
.optional(),
|
||||
})
|
||||
|
||||
export const webSearchPreview = createProviderDefinedToolFactory<
|
||||
export const webSearchPreview = createProviderToolFactory<
|
||||
{
|
||||
// Web search doesn't take input parameters - it's controlled by the prompt
|
||||
},
|
||||
@@ -81,7 +81,6 @@ export const webSearchPreview = createProviderDefinedToolFactory<
|
||||
}
|
||||
>({
|
||||
id: "openai.web_search_preview",
|
||||
name: "web_search_preview",
|
||||
inputSchema: z.object({
|
||||
action: z
|
||||
.discriminatedUnion("type", [
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
import { createProviderDefinedToolFactory } from "@ai-sdk/provider-utils"
|
||||
import { createProviderToolFactory } from "@ai-sdk/provider-utils"
|
||||
import { z } from "zod/v4"
|
||||
|
||||
export const webSearchArgsSchema = z.object({
|
||||
@@ -21,7 +21,7 @@ export const webSearchArgsSchema = z.object({
|
||||
.optional(),
|
||||
})
|
||||
|
||||
export const webSearchToolFactory = createProviderDefinedToolFactory<
|
||||
export const webSearchToolFactory = createProviderToolFactory<
|
||||
{
|
||||
// Web search doesn't take input parameters - it's controlled by the prompt
|
||||
},
|
||||
@@ -74,7 +74,6 @@ export const webSearchToolFactory = createProviderDefinedToolFactory<
|
||||
}
|
||||
>({
|
||||
id: "openai.web_search",
|
||||
name: "web_search",
|
||||
inputSchema: z.object({
|
||||
action: z
|
||||
.discriminatedUnion("type", [
|
||||
|
||||
@@ -25,8 +25,9 @@ export namespace ProviderTransform {
|
||||
switch (npm) {
|
||||
case "@ai-sdk/github-copilot":
|
||||
return "copilot"
|
||||
case "@ai-sdk/openai":
|
||||
case "@ai-sdk/azure":
|
||||
return "azure"
|
||||
case "@ai-sdk/openai":
|
||||
return "openai"
|
||||
case "@ai-sdk/amazon-bedrock":
|
||||
return "bedrock"
|
||||
@@ -34,6 +35,7 @@ export namespace ProviderTransform {
|
||||
case "@ai-sdk/google-vertex/anthropic":
|
||||
return "anthropic"
|
||||
case "@ai-sdk/google-vertex":
|
||||
return "vertex"
|
||||
case "@ai-sdk/google":
|
||||
return "google"
|
||||
case "@ai-sdk/gateway":
|
||||
@@ -72,17 +74,29 @@ export namespace ProviderTransform {
|
||||
}
|
||||
|
||||
if (model.api.id.includes("claude")) {
|
||||
const scrub = (id: string) => id.replace(/[^a-zA-Z0-9_-]/g, "_")
|
||||
return msgs.map((msg) => {
|
||||
if ((msg.role === "assistant" || msg.role === "tool") && Array.isArray(msg.content)) {
|
||||
msg.content = msg.content.map((part) => {
|
||||
if ((part.type === "tool-call" || part.type === "tool-result") && "toolCallId" in part) {
|
||||
return {
|
||||
...part,
|
||||
toolCallId: part.toolCallId.replace(/[^a-zA-Z0-9_-]/g, "_"),
|
||||
if (msg.role === "assistant" && Array.isArray(msg.content)) {
|
||||
return {
|
||||
...msg,
|
||||
content: msg.content.map((part) => {
|
||||
if (part.type === "tool-call" || part.type === "tool-result") {
|
||||
return { ...part, toolCallId: scrub(part.toolCallId) }
|
||||
}
|
||||
}
|
||||
return part
|
||||
})
|
||||
return part
|
||||
}),
|
||||
}
|
||||
}
|
||||
if (msg.role === "tool" && Array.isArray(msg.content)) {
|
||||
return {
|
||||
...msg,
|
||||
content: msg.content.map((part) => {
|
||||
if (part.type === "tool-result") {
|
||||
return { ...part, toolCallId: scrub(part.toolCallId) }
|
||||
}
|
||||
return part
|
||||
}),
|
||||
}
|
||||
}
|
||||
return msg
|
||||
})
|
||||
@@ -92,29 +106,33 @@ export namespace ProviderTransform {
|
||||
model.api.id.toLowerCase().includes("mistral") ||
|
||||
model.api.id.toLocaleLowerCase().includes("devstral")
|
||||
) {
|
||||
const scrub = (id: string) => {
|
||||
return id
|
||||
.replace(/[^a-zA-Z0-9]/g, "") // Remove non-alphanumeric characters
|
||||
.substring(0, 9) // Take first 9 characters
|
||||
.padEnd(9, "0") // Pad with zeros if less than 9 characters
|
||||
}
|
||||
const result: ModelMessage[] = []
|
||||
for (let i = 0; i < msgs.length; i++) {
|
||||
const msg = msgs[i]
|
||||
const nextMsg = msgs[i + 1]
|
||||
|
||||
if ((msg.role === "assistant" || msg.role === "tool") && Array.isArray(msg.content)) {
|
||||
if (msg.role === "assistant" && Array.isArray(msg.content)) {
|
||||
msg.content = msg.content.map((part) => {
|
||||
if ((part.type === "tool-call" || part.type === "tool-result") && "toolCallId" in part) {
|
||||
// Mistral requires alphanumeric tool call IDs with exactly 9 characters
|
||||
const normalizedId = part.toolCallId
|
||||
.replace(/[^a-zA-Z0-9]/g, "") // Remove non-alphanumeric characters
|
||||
.substring(0, 9) // Take first 9 characters
|
||||
.padEnd(9, "0") // Pad with zeros if less than 9 characters
|
||||
|
||||
return {
|
||||
...part,
|
||||
toolCallId: normalizedId,
|
||||
}
|
||||
if (part.type === "tool-call" || part.type === "tool-result") {
|
||||
return { ...part, toolCallId: scrub(part.toolCallId) }
|
||||
}
|
||||
return part
|
||||
})
|
||||
}
|
||||
if (msg.role === "tool" && Array.isArray(msg.content)) {
|
||||
msg.content = msg.content.map((part) => {
|
||||
if (part.type === "tool-result") {
|
||||
return { ...part, toolCallId: scrub(part.toolCallId) }
|
||||
}
|
||||
return part
|
||||
})
|
||||
}
|
||||
|
||||
result.push(msg)
|
||||
|
||||
// Fix message sequence: tool messages cannot be followed by user messages
|
||||
@@ -202,7 +220,12 @@ export namespace ProviderTransform {
|
||||
|
||||
if (shouldUseContentOptions) {
|
||||
const lastContent = msg.content[msg.content.length - 1]
|
||||
if (lastContent && typeof lastContent === "object") {
|
||||
if (
|
||||
lastContent &&
|
||||
typeof lastContent === "object" &&
|
||||
lastContent.type !== "tool-approval-request" &&
|
||||
lastContent.type !== "tool-approval-response"
|
||||
) {
|
||||
lastContent.providerOptions = mergeDeep(lastContent.providerOptions ?? {}, providerOptions)
|
||||
continue
|
||||
}
|
||||
@@ -284,7 +307,12 @@ export namespace ProviderTransform {
|
||||
return {
|
||||
...msg,
|
||||
providerOptions: remap(msg.providerOptions),
|
||||
content: msg.content.map((part) => ({ ...part, providerOptions: remap(part.providerOptions) })),
|
||||
content: msg.content.map((part) => {
|
||||
if (part.type === "tool-approval-request" || part.type === "tool-approval-response") {
|
||||
return { ...part }
|
||||
}
|
||||
return { ...part, providerOptions: remap(part.providerOptions) }
|
||||
}),
|
||||
} as typeof msg
|
||||
})
|
||||
}
|
||||
|
||||
@@ -14,7 +14,6 @@ import { Global } from "../global"
|
||||
import { LSP } from "../lsp"
|
||||
import { Command } from "../command"
|
||||
import { Flag } from "../flag/flag"
|
||||
import { Filesystem } from "@/util/filesystem"
|
||||
import { QuestionRoutes } from "./routes/question"
|
||||
import { PermissionRoutes } from "./routes/permission"
|
||||
import { ProjectRoutes } from "./routes/project"
|
||||
@@ -26,7 +25,6 @@ import { ConfigRoutes } from "./routes/config"
|
||||
import { ExperimentalRoutes } from "./routes/experimental"
|
||||
import { ProviderRoutes } from "./routes/provider"
|
||||
import { EventRoutes } from "./routes/event"
|
||||
import { InstanceBootstrap } from "../project/bootstrap"
|
||||
import { errorHandler } from "./middleware"
|
||||
|
||||
const log = Log.create({ service: "server" })
|
||||
@@ -45,26 +43,6 @@ const csp = (hash = "") =>
|
||||
export const InstanceRoutes = (app?: Hono) =>
|
||||
(app ?? new Hono())
|
||||
.onError(errorHandler(log))
|
||||
.use(async (c, next) => {
|
||||
const raw = c.req.query("directory") || c.req.header("x-opencode-directory") || process.cwd()
|
||||
const directory = Filesystem.resolve(
|
||||
(() => {
|
||||
try {
|
||||
return decodeURIComponent(raw)
|
||||
} catch {
|
||||
return raw
|
||||
}
|
||||
})(),
|
||||
)
|
||||
|
||||
return Instance.provide({
|
||||
directory,
|
||||
init: InstanceBootstrap,
|
||||
async fn() {
|
||||
return next()
|
||||
},
|
||||
})
|
||||
})
|
||||
.route("/project", ProjectRoutes())
|
||||
.route("/pty", PtyRoutes())
|
||||
.route("/config", ConfigRoutes())
|
||||
|
||||
99
packages/opencode/src/server/router.ts
Normal file
99
packages/opencode/src/server/router.ts
Normal file
@@ -0,0 +1,99 @@
|
||||
import type { MiddlewareHandler } from "hono"
|
||||
import { getAdaptor } from "@/control-plane/adaptors"
|
||||
import { WorkspaceID } from "@/control-plane/schema"
|
||||
import { Workspace } from "@/control-plane/workspace"
|
||||
import { lazy } from "@/util/lazy"
|
||||
import { Filesystem } from "@/util/filesystem"
|
||||
import { Instance } from "@/project/instance"
|
||||
import { InstanceBootstrap } from "@/project/bootstrap"
|
||||
import { InstanceRoutes } from "./instance"
|
||||
|
||||
type Rule = { method?: string; path: string; exact?: boolean; action: "local" | "forward" }
|
||||
|
||||
const RULES: Array<Rule> = [
|
||||
{ path: "/session/status", action: "forward" },
|
||||
{ method: "GET", path: "/session", action: "local" },
|
||||
]
|
||||
|
||||
function local(method: string, path: string) {
|
||||
for (const rule of RULES) {
|
||||
if (rule.method && rule.method !== method) continue
|
||||
const match = rule.exact ? path === rule.path : path === rule.path || path.startsWith(rule.path + "/")
|
||||
if (match) return rule.action === "local"
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
const routes = lazy(() => InstanceRoutes())
|
||||
|
||||
export const WorkspaceRouterMiddleware: MiddlewareHandler = async (c) => {
|
||||
const raw = c.req.query("directory") || c.req.header("x-opencode-directory") || process.cwd()
|
||||
const directory = Filesystem.resolve(
|
||||
(() => {
|
||||
try {
|
||||
return decodeURIComponent(raw)
|
||||
} catch {
|
||||
return raw
|
||||
}
|
||||
})(),
|
||||
)
|
||||
|
||||
const url = new URL(c.req.url)
|
||||
const workspaceParam = url.searchParams.get("workspace")
|
||||
|
||||
// TODO: If session is being routed, force it to lookup the
|
||||
// project/workspace
|
||||
|
||||
// If no workspace is provided we use the "project" workspace
|
||||
if (!workspaceParam) {
|
||||
return Instance.provide({
|
||||
directory,
|
||||
init: InstanceBootstrap,
|
||||
async fn() {
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
const workspaceID = WorkspaceID.make(workspaceParam)
|
||||
const workspace = await Workspace.get(workspaceID)
|
||||
if (!workspace) {
|
||||
return new Response(`Workspace not found: ${workspaceID}`, {
|
||||
status: 500,
|
||||
headers: {
|
||||
"content-type": "text/plain; charset=utf-8",
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
// Handle local workspaces directly so we can pass env to `fetch`,
|
||||
// necessary for websocket upgrades
|
||||
if (workspace.type === "worktree") {
|
||||
return Instance.provide({
|
||||
directory: workspace.directory!,
|
||||
init: InstanceBootstrap,
|
||||
async fn() {
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
// Remote workspaces
|
||||
|
||||
if (local(c.req.method, url.pathname)) {
|
||||
// No instance provided because we are serving cached data; there
|
||||
// is no instance to work with
|
||||
return routes().fetch(c.req.raw, c.env)
|
||||
}
|
||||
|
||||
const adaptor = await getAdaptor(workspace.type)
|
||||
const headers = new Headers(c.req.raw.headers)
|
||||
headers.delete("x-opencode-workspace")
|
||||
|
||||
return adaptor.fetch(workspace, `${url.pathname}${url.search}`, {
|
||||
method: c.req.method,
|
||||
body: c.req.method === "GET" || c.req.method === "HEAD" ? undefined : await c.req.raw.arrayBuffer(),
|
||||
signal: c.req.raw.signal,
|
||||
headers,
|
||||
})
|
||||
}
|
||||
@@ -8,7 +8,7 @@ import z from "zod"
|
||||
import { Auth } from "../auth"
|
||||
import { Flag } from "../flag/flag"
|
||||
import { ProviderID } from "../provider/schema"
|
||||
import { WorkspaceRouterMiddleware } from "../control-plane/workspace-router-middleware"
|
||||
import { WorkspaceRouterMiddleware } from "./router"
|
||||
import { websocket } from "hono/bun"
|
||||
import { errors } from "./error"
|
||||
import { GlobalRoutes } from "./routes/global"
|
||||
|
||||
@@ -215,7 +215,7 @@ When constructing the summary, try to stick to this template:
|
||||
tools: {},
|
||||
system: [],
|
||||
messages: [
|
||||
...MessageV2.toModelMessages(msgs, model, { stripMedia: true }),
|
||||
...(await MessageV2.toModelMessages(msgs, model, { stripMedia: true })),
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
|
||||
@@ -33,6 +33,8 @@ import { Permission } from "@/permission"
|
||||
import { Global } from "@/global"
|
||||
import type { LanguageModelV2Usage } from "@ai-sdk/provider"
|
||||
import { iife } from "@/util/iife"
|
||||
import { Effect, Layer, Scope, ServiceMap } from "effect"
|
||||
import { makeRuntime } from "@/effect/run-service"
|
||||
|
||||
export namespace Session {
|
||||
const log = Log.create({ service: "session" })
|
||||
@@ -233,6 +235,473 @@ export namespace Session {
|
||||
),
|
||||
}
|
||||
|
||||
export function plan(input: { slug: string; time: { created: number } }) {
|
||||
const base = Instance.project.vcs
|
||||
? path.join(Instance.worktree, ".opencode", "plans")
|
||||
: path.join(Global.Path.data, "plans")
|
||||
return path.join(base, [input.time.created, input.slug].join("-") + ".md")
|
||||
}
|
||||
|
||||
export const getUsage = (input: {
|
||||
model: Provider.Model
|
||||
usage: LanguageModelV2Usage
|
||||
metadata?: ProviderMetadata
|
||||
}) => {
|
||||
const safe = (value: number) => {
|
||||
if (!Number.isFinite(value)) return 0
|
||||
return value
|
||||
}
|
||||
const inputTokens = safe(input.usage.inputTokens ?? 0)
|
||||
const outputTokens = safe(input.usage.outputTokens ?? 0)
|
||||
const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
|
||||
|
||||
const cacheReadInputTokens = safe(input.usage.cachedInputTokens ?? 0)
|
||||
const cacheWriteInputTokens = safe(
|
||||
(input.metadata?.["anthropic"]?.["cacheCreationInputTokens"] ??
|
||||
// @ts-expect-error
|
||||
input.metadata?.["bedrock"]?.["usage"]?.["cacheWriteInputTokens"] ??
|
||||
// @ts-expect-error
|
||||
input.metadata?.["venice"]?.["usage"]?.["cacheCreationInputTokens"] ??
|
||||
0) as number,
|
||||
)
|
||||
|
||||
// OpenRouter provides inputTokens as the total count of input tokens (including cached).
|
||||
// AFAIK other providers (OpenRouter/OpenAI/Gemini etc.) do it the same way e.g. vercel/ai#8794 (comment)
|
||||
// Anthropic does it differently though - inputTokens doesn't include cached tokens.
|
||||
// It looks like OpenCode's cost calculation assumes all providers return inputTokens the same way Anthropic does (I'm guessing getUsage logic was originally implemented with anthropic), so it's causing incorrect cost calculation for OpenRouter and others.
|
||||
const excludesCachedTokens = !!(input.metadata?.["anthropic"] || input.metadata?.["bedrock"])
|
||||
const adjustedInputTokens = safe(
|
||||
excludesCachedTokens ? inputTokens : inputTokens - cacheReadInputTokens - cacheWriteInputTokens,
|
||||
)
|
||||
|
||||
const total = iife(() => {
|
||||
// Anthropic doesn't provide total_tokens, also ai sdk will vastly undercount if we
|
||||
// don't compute from components
|
||||
if (
|
||||
input.model.api.npm === "@ai-sdk/anthropic" ||
|
||||
input.model.api.npm === "@ai-sdk/amazon-bedrock" ||
|
||||
input.model.api.npm === "@ai-sdk/google-vertex/anthropic"
|
||||
) {
|
||||
return adjustedInputTokens + outputTokens + cacheReadInputTokens + cacheWriteInputTokens
|
||||
}
|
||||
return input.usage.totalTokens
|
||||
})
|
||||
|
||||
const tokens = {
|
||||
total,
|
||||
input: adjustedInputTokens,
|
||||
output: outputTokens,
|
||||
reasoning: reasoningTokens,
|
||||
cache: {
|
||||
write: cacheWriteInputTokens,
|
||||
read: cacheReadInputTokens,
|
||||
},
|
||||
}
|
||||
|
||||
const costInfo =
|
||||
input.model.cost?.experimentalOver200K && tokens.input + tokens.cache.read > 200_000
|
||||
? input.model.cost.experimentalOver200K
|
||||
: input.model.cost
|
||||
return {
|
||||
cost: safe(
|
||||
new Decimal(0)
|
||||
.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(costInfo?.output ?? 0).div(1_000_000))
|
||||
.toNumber(),
|
||||
),
|
||||
tokens,
|
||||
}
|
||||
}
|
||||
|
||||
export class BusyError extends Error {
|
||||
constructor(public readonly sessionID: string) {
|
||||
super(`Session ${sessionID} is busy`)
|
||||
}
|
||||
}
|
||||
|
||||
export interface Interface {
|
||||
readonly create: (input?: {
|
||||
parentID?: SessionID
|
||||
title?: string
|
||||
permission?: Permission.Ruleset
|
||||
workspaceID?: WorkspaceID
|
||||
}) => Effect.Effect<Info>
|
||||
readonly fork: (input: { sessionID: SessionID; messageID?: MessageID }) => Effect.Effect<Info>
|
||||
readonly touch: (sessionID: SessionID) => Effect.Effect<void>
|
||||
readonly get: (id: SessionID) => Effect.Effect<Info>
|
||||
readonly share: (id: SessionID) => Effect.Effect<{ url: string }>
|
||||
readonly unshare: (id: SessionID) => Effect.Effect<void>
|
||||
readonly setTitle: (input: { sessionID: SessionID; title: string }) => Effect.Effect<void>
|
||||
readonly setArchived: (input: { sessionID: SessionID; time?: number }) => Effect.Effect<void>
|
||||
readonly setPermission: (input: { sessionID: SessionID; permission: Permission.Ruleset }) => Effect.Effect<void>
|
||||
readonly setRevert: (input: {
|
||||
sessionID: SessionID
|
||||
revert: Info["revert"]
|
||||
summary: Info["summary"]
|
||||
}) => Effect.Effect<void>
|
||||
readonly clearRevert: (sessionID: SessionID) => Effect.Effect<void>
|
||||
readonly setSummary: (input: { sessionID: SessionID; summary: Info["summary"] }) => Effect.Effect<void>
|
||||
readonly diff: (sessionID: SessionID) => Effect.Effect<Snapshot.FileDiff[]>
|
||||
readonly messages: (input: { sessionID: SessionID; limit?: number }) => Effect.Effect<MessageV2.WithParts[]>
|
||||
readonly children: (parentID: SessionID) => Effect.Effect<Info[]>
|
||||
readonly remove: (sessionID: SessionID) => Effect.Effect<void>
|
||||
readonly updateMessage: (msg: MessageV2.Info) => Effect.Effect<MessageV2.Info>
|
||||
readonly removeMessage: (input: { sessionID: SessionID; messageID: MessageID }) => Effect.Effect<MessageID>
|
||||
readonly removePart: (input: {
|
||||
sessionID: SessionID
|
||||
messageID: MessageID
|
||||
partID: PartID
|
||||
}) => Effect.Effect<PartID>
|
||||
readonly updatePart: (part: MessageV2.Part) => Effect.Effect<MessageV2.Part>
|
||||
readonly updatePartDelta: (input: {
|
||||
sessionID: SessionID
|
||||
messageID: MessageID
|
||||
partID: PartID
|
||||
field: string
|
||||
delta: string
|
||||
}) => Effect.Effect<void>
|
||||
readonly initialize: (input: {
|
||||
sessionID: SessionID
|
||||
modelID: ModelID
|
||||
providerID: ProviderID
|
||||
messageID: MessageID
|
||||
}) => Effect.Effect<void>
|
||||
}
|
||||
|
||||
export class Service extends ServiceMap.Service<Service, Interface>()("@opencode/Session") {}
|
||||
|
||||
type Patch = z.infer<typeof Event.Updated.schema>["info"]
|
||||
|
||||
const db = <T>(fn: (d: Parameters<typeof Database.use>[0] extends (trx: infer D) => any ? D : never) => T) =>
|
||||
Effect.sync(() => Database.use(fn))
|
||||
|
||||
export const layer: Layer.Layer<Service, never, Bus.Service | Config.Service> = Layer.effect(
|
||||
Service,
|
||||
Effect.gen(function* () {
|
||||
const bus = yield* Bus.Service
|
||||
const config = yield* Config.Service
|
||||
const scope = yield* Scope.Scope
|
||||
|
||||
const createNext = Effect.fn("Session.createNext")(function* (input: {
|
||||
id?: SessionID
|
||||
title?: string
|
||||
parentID?: SessionID
|
||||
workspaceID?: WorkspaceID
|
||||
directory: string
|
||||
permission?: Permission.Ruleset
|
||||
}) {
|
||||
const result: Info = {
|
||||
id: SessionID.descending(input.id),
|
||||
slug: Slug.create(),
|
||||
version: Installation.VERSION,
|
||||
projectID: Instance.project.id,
|
||||
directory: input.directory,
|
||||
workspaceID: input.workspaceID,
|
||||
parentID: input.parentID,
|
||||
title: input.title ?? createDefaultTitle(!!input.parentID),
|
||||
permission: input.permission,
|
||||
time: {
|
||||
created: Date.now(),
|
||||
updated: Date.now(),
|
||||
},
|
||||
}
|
||||
log.info("created", result)
|
||||
|
||||
yield* Effect.sync(() => SyncEvent.run(Event.Created, { sessionID: result.id, info: result }))
|
||||
|
||||
const cfg = yield* config.get()
|
||||
if (!result.parentID && (Flag.OPENCODE_AUTO_SHARE || cfg.share === "auto")) {
|
||||
yield* share(result.id).pipe(Effect.ignore, Effect.forkIn(scope))
|
||||
}
|
||||
|
||||
if (!Flag.OPENCODE_EXPERIMENTAL_WORKSPACES) {
|
||||
// This only exist for backwards compatibility. We should not be
|
||||
// manually publishing this event; it is a sync event now
|
||||
yield* bus.publish(Event.Updated, {
|
||||
sessionID: result.id,
|
||||
info: result,
|
||||
})
|
||||
}
|
||||
|
||||
return result
|
||||
})
|
||||
|
||||
const get = Effect.fn("Session.get")(function* (id: SessionID) {
|
||||
const row = yield* db((d) => d.select().from(SessionTable).where(eq(SessionTable.id, id)).get())
|
||||
if (!row) throw new NotFoundError({ message: `Session not found: ${id}` })
|
||||
return fromRow(row)
|
||||
})
|
||||
|
||||
const share = Effect.fn("Session.share")(function* (id: SessionID) {
|
||||
const cfg = yield* config.get()
|
||||
if (cfg.share === "disabled") throw new Error("Sharing is disabled in configuration")
|
||||
const result = yield* Effect.promise(async () => {
|
||||
const { ShareNext } = await import("@/share/share-next")
|
||||
return ShareNext.create(id)
|
||||
})
|
||||
yield* Effect.sync(() => SyncEvent.run(Event.Updated, { sessionID: id, info: { share: { url: result.url } } }))
|
||||
return result
|
||||
})
|
||||
|
||||
const unshare = Effect.fn("Session.unshare")(function* (id: SessionID) {
|
||||
yield* Effect.promise(async () => {
|
||||
const { ShareNext } = await import("@/share/share-next")
|
||||
await ShareNext.remove(id)
|
||||
})
|
||||
yield* Effect.sync(() => SyncEvent.run(Event.Updated, { sessionID: id, info: { share: { url: null } } }))
|
||||
})
|
||||
|
||||
const children = Effect.fn("Session.children")(function* (parentID: SessionID) {
|
||||
const project = Instance.project
|
||||
const rows = yield* db((d) =>
|
||||
d
|
||||
.select()
|
||||
.from(SessionTable)
|
||||
.where(and(eq(SessionTable.project_id, project.id), eq(SessionTable.parent_id, parentID)))
|
||||
.all(),
|
||||
)
|
||||
return rows.map(fromRow)
|
||||
})
|
||||
|
||||
const remove: (sessionID: SessionID) => Effect.Effect<void> = Effect.fnUntraced(function* (sessionID: SessionID) {
|
||||
try {
|
||||
const session = yield* get(sessionID)
|
||||
const kids = yield* children(sessionID)
|
||||
for (const child of kids) {
|
||||
yield* remove(child.id)
|
||||
}
|
||||
yield* unshare(sessionID).pipe(Effect.ignore)
|
||||
yield* Effect.sync(() => {
|
||||
SyncEvent.run(Event.Deleted, { sessionID, info: session })
|
||||
SyncEvent.remove(sessionID)
|
||||
})
|
||||
} catch (e) {
|
||||
log.error(e)
|
||||
}
|
||||
})
|
||||
|
||||
const updateMessage = Effect.fn("Session.updateMessage")(function* (msg: MessageV2.Info) {
|
||||
yield* Effect.sync(() =>
|
||||
SyncEvent.run(MessageV2.Event.Updated, {
|
||||
sessionID: msg.sessionID,
|
||||
info: msg,
|
||||
}),
|
||||
)
|
||||
return msg
|
||||
})
|
||||
|
||||
const updatePart = Effect.fn("Session.updatePart")(function* (part: MessageV2.Part) {
|
||||
yield* Effect.sync(() =>
|
||||
SyncEvent.run(MessageV2.Event.PartUpdated, {
|
||||
sessionID: part.sessionID,
|
||||
part: structuredClone(part),
|
||||
time: Date.now(),
|
||||
}),
|
||||
)
|
||||
return part
|
||||
})
|
||||
|
||||
const create = Effect.fn("Session.create")(function* (input?: {
|
||||
parentID?: SessionID
|
||||
title?: string
|
||||
permission?: Permission.Ruleset
|
||||
workspaceID?: WorkspaceID
|
||||
}) {
|
||||
return yield* createNext({
|
||||
parentID: input?.parentID,
|
||||
directory: Instance.directory,
|
||||
title: input?.title,
|
||||
permission: input?.permission,
|
||||
workspaceID: input?.workspaceID,
|
||||
})
|
||||
})
|
||||
|
||||
const fork = Effect.fn("Session.fork")(function* (input: { sessionID: SessionID; messageID?: MessageID }) {
|
||||
const original = yield* get(input.sessionID)
|
||||
const title = getForkedTitle(original.title)
|
||||
const session = yield* createNext({
|
||||
directory: Instance.directory,
|
||||
workspaceID: original.workspaceID,
|
||||
title,
|
||||
})
|
||||
const msgs = yield* messages({ sessionID: input.sessionID })
|
||||
const idMap = new Map<string, MessageID>()
|
||||
|
||||
for (const msg of msgs) {
|
||||
if (input.messageID && msg.info.id >= input.messageID) break
|
||||
const newID = MessageID.ascending()
|
||||
idMap.set(msg.info.id, newID)
|
||||
|
||||
const parentID = msg.info.role === "assistant" && msg.info.parentID ? idMap.get(msg.info.parentID) : undefined
|
||||
const cloned = yield* updateMessage({
|
||||
...msg.info,
|
||||
sessionID: session.id,
|
||||
id: newID,
|
||||
...(parentID && { parentID }),
|
||||
})
|
||||
|
||||
for (const part of msg.parts) {
|
||||
yield* updatePart({
|
||||
...part,
|
||||
id: PartID.ascending(),
|
||||
messageID: cloned.id,
|
||||
sessionID: session.id,
|
||||
})
|
||||
}
|
||||
}
|
||||
return session
|
||||
})
|
||||
|
||||
const patch = (sessionID: SessionID, info: Patch) =>
|
||||
Effect.sync(() => SyncEvent.run(Event.Updated, { sessionID, info }))
|
||||
|
||||
const touch = Effect.fn("Session.touch")(function* (sessionID: SessionID) {
|
||||
yield* patch(sessionID, { time: { updated: Date.now() } })
|
||||
})
|
||||
|
||||
const setTitle = Effect.fn("Session.setTitle")(function* (input: { sessionID: SessionID; title: string }) {
|
||||
yield* patch(input.sessionID, { title: input.title })
|
||||
})
|
||||
|
||||
const setArchived = Effect.fn("Session.setArchived")(function* (input: { sessionID: SessionID; time?: number }) {
|
||||
yield* patch(input.sessionID, { time: { archived: input.time } })
|
||||
})
|
||||
|
||||
const setPermission = Effect.fn("Session.setPermission")(function* (input: {
|
||||
sessionID: SessionID
|
||||
permission: Permission.Ruleset
|
||||
}) {
|
||||
yield* patch(input.sessionID, { permission: input.permission, time: { updated: Date.now() } })
|
||||
})
|
||||
|
||||
const setRevert = Effect.fn("Session.setRevert")(function* (input: {
|
||||
sessionID: SessionID
|
||||
revert: Info["revert"]
|
||||
summary: Info["summary"]
|
||||
}) {
|
||||
yield* patch(input.sessionID, { summary: input.summary, time: { updated: Date.now() }, revert: input.revert })
|
||||
})
|
||||
|
||||
const clearRevert = Effect.fn("Session.clearRevert")(function* (sessionID: SessionID) {
|
||||
yield* patch(sessionID, { time: { updated: Date.now() }, revert: null })
|
||||
})
|
||||
|
||||
const setSummary = Effect.fn("Session.setSummary")(function* (input: {
|
||||
sessionID: SessionID
|
||||
summary: Info["summary"]
|
||||
}) {
|
||||
yield* patch(input.sessionID, { time: { updated: Date.now() }, summary: input.summary })
|
||||
})
|
||||
|
||||
const diff = Effect.fn("Session.diff")(function* (sessionID: SessionID) {
|
||||
return yield* Effect.tryPromise(() => Storage.read<Snapshot.FileDiff[]>(["session_diff", sessionID])).pipe(
|
||||
Effect.orElseSucceed(() => [] as Snapshot.FileDiff[]),
|
||||
)
|
||||
})
|
||||
|
||||
const messages = Effect.fn("Session.messages")(function* (input: { sessionID: SessionID; limit?: number }) {
|
||||
return yield* Effect.promise(async () => {
|
||||
const result = [] as MessageV2.WithParts[]
|
||||
for await (const msg of MessageV2.stream(input.sessionID)) {
|
||||
if (input.limit && result.length >= input.limit) break
|
||||
result.push(msg)
|
||||
}
|
||||
result.reverse()
|
||||
return result
|
||||
})
|
||||
})
|
||||
|
||||
const removeMessage = Effect.fn("Session.removeMessage")(function* (input: {
|
||||
sessionID: SessionID
|
||||
messageID: MessageID
|
||||
}) {
|
||||
yield* Effect.sync(() =>
|
||||
SyncEvent.run(MessageV2.Event.Removed, {
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
}),
|
||||
)
|
||||
return input.messageID
|
||||
})
|
||||
|
||||
const removePart = Effect.fn("Session.removePart")(function* (input: {
|
||||
sessionID: SessionID
|
||||
messageID: MessageID
|
||||
partID: PartID
|
||||
}) {
|
||||
yield* Effect.sync(() =>
|
||||
SyncEvent.run(MessageV2.Event.PartRemoved, {
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
partID: input.partID,
|
||||
}),
|
||||
)
|
||||
return input.partID
|
||||
})
|
||||
|
||||
const updatePartDelta = Effect.fn("Session.updatePartDelta")(function* (input: {
|
||||
sessionID: SessionID
|
||||
messageID: MessageID
|
||||
partID: PartID
|
||||
field: string
|
||||
delta: string
|
||||
}) {
|
||||
yield* bus.publish(MessageV2.Event.PartDelta, input)
|
||||
})
|
||||
|
||||
const initialize = Effect.fn("Session.initialize")(function* (input: {
|
||||
sessionID: SessionID
|
||||
modelID: ModelID
|
||||
providerID: ProviderID
|
||||
messageID: MessageID
|
||||
}) {
|
||||
yield* Effect.promise(() =>
|
||||
SessionPrompt.command({
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
model: input.providerID + "/" + input.modelID,
|
||||
command: Command.Default.INIT,
|
||||
arguments: "",
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
return Service.of({
|
||||
create,
|
||||
fork,
|
||||
touch,
|
||||
get,
|
||||
share,
|
||||
unshare,
|
||||
setTitle,
|
||||
setArchived,
|
||||
setPermission,
|
||||
setRevert,
|
||||
clearRevert,
|
||||
setSummary,
|
||||
diff,
|
||||
messages,
|
||||
children,
|
||||
remove,
|
||||
updateMessage,
|
||||
removeMessage,
|
||||
removePart,
|
||||
updatePart,
|
||||
updatePartDelta,
|
||||
initialize,
|
||||
})
|
||||
}),
|
||||
)
|
||||
|
||||
export const defaultLayer = layer.pipe(Layer.provide(Bus.layer), Layer.provide(Config.defaultLayer))
|
||||
|
||||
const { runPromise } = makeRuntime(Service, defaultLayer)
|
||||
|
||||
export const create = fn(
|
||||
z
|
||||
.object({
|
||||
@@ -242,244 +711,46 @@ export namespace Session {
|
||||
workspaceID: WorkspaceID.zod.optional(),
|
||||
})
|
||||
.optional(),
|
||||
async (input) => {
|
||||
return createNext({
|
||||
parentID: input?.parentID,
|
||||
directory: Instance.directory,
|
||||
title: input?.title,
|
||||
permission: input?.permission,
|
||||
workspaceID: input?.workspaceID,
|
||||
})
|
||||
},
|
||||
(input) => runPromise((svc) => svc.create(input)),
|
||||
)
|
||||
|
||||
export const fork = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
messageID: MessageID.zod.optional(),
|
||||
}),
|
||||
async (input) => {
|
||||
const original = await get(input.sessionID)
|
||||
if (!original) throw new Error("session not found")
|
||||
const title = getForkedTitle(original.title)
|
||||
const session = await createNext({
|
||||
directory: Instance.directory,
|
||||
workspaceID: original.workspaceID,
|
||||
title,
|
||||
})
|
||||
const msgs = await messages({ sessionID: input.sessionID })
|
||||
const idMap = new Map<string, MessageID>()
|
||||
|
||||
for (const msg of msgs) {
|
||||
if (input.messageID && msg.info.id >= input.messageID) break
|
||||
const newID = MessageID.ascending()
|
||||
idMap.set(msg.info.id, newID)
|
||||
|
||||
const parentID = msg.info.role === "assistant" && msg.info.parentID ? idMap.get(msg.info.parentID) : undefined
|
||||
const cloned = await updateMessage({
|
||||
...msg.info,
|
||||
sessionID: session.id,
|
||||
id: newID,
|
||||
...(parentID && { parentID }),
|
||||
})
|
||||
|
||||
for (const part of msg.parts) {
|
||||
await updatePart({
|
||||
...part,
|
||||
id: PartID.ascending(),
|
||||
messageID: cloned.id,
|
||||
sessionID: session.id,
|
||||
})
|
||||
}
|
||||
}
|
||||
return session
|
||||
},
|
||||
export const fork = fn(z.object({ sessionID: SessionID.zod, messageID: MessageID.zod.optional() }), (input) =>
|
||||
runPromise((svc) => svc.fork(input)),
|
||||
)
|
||||
|
||||
export const touch = fn(SessionID.zod, async (sessionID) => {
|
||||
const time = Date.now()
|
||||
SyncEvent.run(Event.Updated, { sessionID, info: { time: { updated: time } } })
|
||||
})
|
||||
export const touch = fn(SessionID.zod, (id) => runPromise((svc) => svc.touch(id)))
|
||||
export const get = fn(SessionID.zod, (id) => runPromise((svc) => svc.get(id)))
|
||||
export const share = fn(SessionID.zod, (id) => runPromise((svc) => svc.share(id)))
|
||||
export const unshare = fn(SessionID.zod, (id) => runPromise((svc) => svc.unshare(id)))
|
||||
|
||||
export async function createNext(input: {
|
||||
id?: SessionID
|
||||
title?: string
|
||||
parentID?: SessionID
|
||||
workspaceID?: WorkspaceID
|
||||
directory: string
|
||||
permission?: Permission.Ruleset
|
||||
}) {
|
||||
const result: Info = {
|
||||
id: SessionID.descending(input.id),
|
||||
slug: Slug.create(),
|
||||
version: Installation.VERSION,
|
||||
projectID: Instance.project.id,
|
||||
directory: input.directory,
|
||||
workspaceID: input.workspaceID,
|
||||
parentID: input.parentID,
|
||||
title: input.title ?? createDefaultTitle(!!input.parentID),
|
||||
permission: input.permission,
|
||||
time: {
|
||||
created: Date.now(),
|
||||
updated: Date.now(),
|
||||
},
|
||||
}
|
||||
log.info("created", result)
|
||||
|
||||
SyncEvent.run(Event.Created, { sessionID: result.id, info: result })
|
||||
|
||||
const cfg = await Config.get()
|
||||
if (!result.parentID && (Flag.OPENCODE_AUTO_SHARE || cfg.share === "auto")) {
|
||||
share(result.id).catch(() => {
|
||||
// Silently ignore sharing errors during session creation
|
||||
})
|
||||
}
|
||||
|
||||
if (!Flag.OPENCODE_EXPERIMENTAL_WORKSPACES) {
|
||||
// This only exist for backwards compatibility. We should not be
|
||||
// manually publishing this event; it is a sync event now
|
||||
Bus.publish(Event.Updated, {
|
||||
sessionID: result.id,
|
||||
info: result,
|
||||
})
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
export function plan(input: { slug: string; time: { created: number } }) {
|
||||
const base = Instance.project.vcs
|
||||
? path.join(Instance.worktree, ".opencode", "plans")
|
||||
: path.join(Global.Path.data, "plans")
|
||||
return path.join(base, [input.time.created, input.slug].join("-") + ".md")
|
||||
}
|
||||
|
||||
export const get = fn(SessionID.zod, async (id) => {
|
||||
const row = Database.use((db) => db.select().from(SessionTable).where(eq(SessionTable.id, id)).get())
|
||||
if (!row) throw new NotFoundError({ message: `Session not found: ${id}` })
|
||||
return fromRow(row)
|
||||
})
|
||||
|
||||
export const share = fn(SessionID.zod, async (id) => {
|
||||
const cfg = await Config.get()
|
||||
if (cfg.share === "disabled") {
|
||||
throw new Error("Sharing is disabled in configuration")
|
||||
}
|
||||
const { ShareNext } = await import("@/share/share-next")
|
||||
const share = await ShareNext.create(id)
|
||||
|
||||
SyncEvent.run(Event.Updated, { sessionID: id, info: { share: { url: share.url } } })
|
||||
|
||||
return share
|
||||
})
|
||||
|
||||
export const unshare = fn(SessionID.zod, async (id) => {
|
||||
// Use ShareNext to remove the share (same as share function uses ShareNext to create)
|
||||
const { ShareNext } = await import("@/share/share-next")
|
||||
await ShareNext.remove(id)
|
||||
|
||||
SyncEvent.run(Event.Updated, { sessionID: id, info: { share: { url: null } } })
|
||||
})
|
||||
|
||||
export const setTitle = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
title: z.string(),
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(Event.Updated, { sessionID: input.sessionID, info: { title: input.title } })
|
||||
},
|
||||
export const setTitle = fn(z.object({ sessionID: SessionID.zod, title: z.string() }), (input) =>
|
||||
runPromise((svc) => svc.setTitle(input)),
|
||||
)
|
||||
|
||||
export const setArchived = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
time: z.number().optional(),
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(Event.Updated, { sessionID: input.sessionID, info: { time: { archived: input.time } } })
|
||||
},
|
||||
export const setArchived = fn(z.object({ sessionID: SessionID.zod, time: z.number().optional() }), (input) =>
|
||||
runPromise((svc) => svc.setArchived(input)),
|
||||
)
|
||||
|
||||
export const setPermission = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
permission: Permission.Ruleset,
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(Event.Updated, {
|
||||
sessionID: input.sessionID,
|
||||
info: { permission: input.permission, time: { updated: Date.now() } },
|
||||
})
|
||||
},
|
||||
export const setPermission = fn(z.object({ sessionID: SessionID.zod, permission: Permission.Ruleset }), (input) =>
|
||||
runPromise((svc) => svc.setPermission(input)),
|
||||
)
|
||||
|
||||
export const setRevert = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
revert: Info.shape.revert,
|
||||
summary: Info.shape.summary,
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(Event.Updated, {
|
||||
sessionID: input.sessionID,
|
||||
info: {
|
||||
summary: input.summary,
|
||||
time: { updated: Date.now() },
|
||||
revert: input.revert,
|
||||
},
|
||||
})
|
||||
},
|
||||
z.object({ sessionID: SessionID.zod, revert: Info.shape.revert, summary: Info.shape.summary }),
|
||||
(input) =>
|
||||
runPromise((svc) => svc.setRevert({ sessionID: input.sessionID, revert: input.revert, summary: input.summary })),
|
||||
)
|
||||
|
||||
export const clearRevert = fn(SessionID.zod, async (sessionID) => {
|
||||
SyncEvent.run(Event.Updated, {
|
||||
sessionID,
|
||||
info: {
|
||||
time: { updated: Date.now() },
|
||||
revert: null,
|
||||
},
|
||||
})
|
||||
})
|
||||
export const clearRevert = fn(SessionID.zod, (id) => runPromise((svc) => svc.clearRevert(id)))
|
||||
|
||||
export const setSummary = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
summary: Info.shape.summary,
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(Event.Updated, {
|
||||
sessionID: input.sessionID,
|
||||
info: {
|
||||
time: { updated: Date.now() },
|
||||
summary: input.summary,
|
||||
},
|
||||
})
|
||||
},
|
||||
export const setSummary = fn(z.object({ sessionID: SessionID.zod, summary: Info.shape.summary }), (input) =>
|
||||
runPromise((svc) => svc.setSummary({ sessionID: input.sessionID, summary: input.summary })),
|
||||
)
|
||||
|
||||
export const diff = fn(SessionID.zod, async (sessionID) => {
|
||||
try {
|
||||
return await Storage.read<Snapshot.FileDiff[]>(["session_diff", sessionID])
|
||||
} catch {
|
||||
return []
|
||||
}
|
||||
})
|
||||
export const diff = fn(SessionID.zod, (id) => runPromise((svc) => svc.diff(id)))
|
||||
|
||||
export const messages = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
limit: z.number().optional(),
|
||||
}),
|
||||
async (input) => {
|
||||
const result = [] as MessageV2.WithParts[]
|
||||
for await (const msg of MessageV2.stream(input.sessionID)) {
|
||||
if (input.limit && result.length >= input.limit) break
|
||||
result.push(msg)
|
||||
}
|
||||
result.reverse()
|
||||
return result
|
||||
},
|
||||
export const messages = fn(z.object({ sessionID: SessionID.zod, limit: z.number().optional() }), (input) =>
|
||||
runPromise((svc) => svc.messages(input)),
|
||||
)
|
||||
|
||||
export function* list(input?: {
|
||||
@@ -594,84 +865,20 @@ export namespace Session {
|
||||
}
|
||||
}
|
||||
|
||||
export const children = fn(SessionID.zod, async (parentID) => {
|
||||
const project = Instance.project
|
||||
const rows = Database.use((db) =>
|
||||
db
|
||||
.select()
|
||||
.from(SessionTable)
|
||||
.where(and(eq(SessionTable.project_id, project.id), eq(SessionTable.parent_id, parentID)))
|
||||
.all(),
|
||||
)
|
||||
return rows.map(fromRow)
|
||||
})
|
||||
export const children = fn(SessionID.zod, (id) => runPromise((svc) => svc.children(id)))
|
||||
export const remove = fn(SessionID.zod, (id) => runPromise((svc) => svc.remove(id)))
|
||||
export const updateMessage = fn(MessageV2.Info, (msg) => runPromise((svc) => svc.updateMessage(msg)))
|
||||
|
||||
export const remove = fn(SessionID.zod, async (sessionID) => {
|
||||
try {
|
||||
const session = await get(sessionID)
|
||||
for (const child of await children(sessionID)) {
|
||||
await remove(child.id)
|
||||
}
|
||||
await unshare(sessionID).catch(() => {})
|
||||
|
||||
SyncEvent.run(Event.Deleted, { sessionID, info: session })
|
||||
|
||||
// Eagerly remove event sourcing data to free up space
|
||||
SyncEvent.remove(sessionID)
|
||||
} catch (e) {
|
||||
log.error(e)
|
||||
}
|
||||
})
|
||||
|
||||
export const updateMessage = fn(MessageV2.Info, async (msg) => {
|
||||
SyncEvent.run(MessageV2.Event.Updated, {
|
||||
sessionID: msg.sessionID,
|
||||
info: msg,
|
||||
})
|
||||
|
||||
return msg
|
||||
})
|
||||
|
||||
export const removeMessage = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
messageID: MessageID.zod,
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(MessageV2.Event.Removed, {
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
})
|
||||
return input.messageID
|
||||
},
|
||||
export const removeMessage = fn(z.object({ sessionID: SessionID.zod, messageID: MessageID.zod }), (input) =>
|
||||
runPromise((svc) => svc.removeMessage(input)),
|
||||
)
|
||||
|
||||
export const removePart = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
messageID: MessageID.zod,
|
||||
partID: PartID.zod,
|
||||
}),
|
||||
async (input) => {
|
||||
SyncEvent.run(MessageV2.Event.PartRemoved, {
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
partID: input.partID,
|
||||
})
|
||||
return input.partID
|
||||
},
|
||||
z.object({ sessionID: SessionID.zod, messageID: MessageID.zod, partID: PartID.zod }),
|
||||
(input) => runPromise((svc) => svc.removePart(input)),
|
||||
)
|
||||
|
||||
const UpdatePartInput = MessageV2.Part
|
||||
|
||||
export const updatePart = fn(UpdatePartInput, async (part) => {
|
||||
SyncEvent.run(MessageV2.Event.PartUpdated, {
|
||||
sessionID: part.sessionID,
|
||||
part: structuredClone(part),
|
||||
time: Date.now(),
|
||||
})
|
||||
return part
|
||||
})
|
||||
export const updatePart = fn(MessageV2.Part, (part) => runPromise((svc) => svc.updatePart(part)))
|
||||
|
||||
export const updatePartDelta = fn(
|
||||
z.object({
|
||||
@@ -681,111 +888,11 @@ export namespace Session {
|
||||
field: z.string(),
|
||||
delta: z.string(),
|
||||
}),
|
||||
async (input) => {
|
||||
Bus.publish(MessageV2.Event.PartDelta, input)
|
||||
},
|
||||
(input) => runPromise((svc) => svc.updatePartDelta(input)),
|
||||
)
|
||||
|
||||
export const getUsage = fn(
|
||||
z.object({
|
||||
model: z.custom<Provider.Model>(),
|
||||
usage: z.custom<LanguageModelV2Usage>(),
|
||||
metadata: z.custom<ProviderMetadata>().optional(),
|
||||
}),
|
||||
(input) => {
|
||||
const safe = (value: number) => {
|
||||
if (!Number.isFinite(value)) return 0
|
||||
return value
|
||||
}
|
||||
const inputTokens = safe(input.usage.inputTokens ?? 0)
|
||||
const outputTokens = safe(input.usage.outputTokens ?? 0)
|
||||
const reasoningTokens = safe(input.usage.reasoningTokens ?? 0)
|
||||
|
||||
const cacheReadInputTokens = safe(input.usage.cachedInputTokens ?? 0)
|
||||
const cacheWriteInputTokens = safe(
|
||||
(input.metadata?.["anthropic"]?.["cacheCreationInputTokens"] ??
|
||||
// @ts-expect-error
|
||||
input.metadata?.["bedrock"]?.["usage"]?.["cacheWriteInputTokens"] ??
|
||||
// @ts-expect-error
|
||||
input.metadata?.["venice"]?.["usage"]?.["cacheCreationInputTokens"] ??
|
||||
0) as number,
|
||||
)
|
||||
|
||||
// OpenRouter provides inputTokens as the total count of input tokens (including cached).
|
||||
// AFAIK other providers (OpenRouter/OpenAI/Gemini etc.) do it the same way e.g. vercel/ai#8794 (comment)
|
||||
// Anthropic does it differently though - inputTokens doesn't include cached tokens.
|
||||
// It looks like OpenCode's cost calculation assumes all providers return inputTokens the same way Anthropic does (I'm guessing getUsage logic was originally implemented with anthropic), so it's causing incorrect cost calculation for OpenRouter and others.
|
||||
const excludesCachedTokens = !!(input.metadata?.["anthropic"] || input.metadata?.["bedrock"])
|
||||
const adjustedInputTokens = safe(
|
||||
excludesCachedTokens ? inputTokens : inputTokens - cacheReadInputTokens - cacheWriteInputTokens,
|
||||
)
|
||||
|
||||
const total = iife(() => {
|
||||
// Anthropic doesn't provide total_tokens, also ai sdk will vastly undercount if we
|
||||
// don't compute from components
|
||||
if (
|
||||
input.model.api.npm === "@ai-sdk/anthropic" ||
|
||||
input.model.api.npm === "@ai-sdk/amazon-bedrock" ||
|
||||
input.model.api.npm === "@ai-sdk/google-vertex/anthropic"
|
||||
) {
|
||||
return adjustedInputTokens + outputTokens + cacheReadInputTokens + cacheWriteInputTokens
|
||||
}
|
||||
return input.usage.totalTokens
|
||||
})
|
||||
|
||||
const tokens = {
|
||||
total,
|
||||
input: adjustedInputTokens,
|
||||
output: outputTokens,
|
||||
reasoning: reasoningTokens,
|
||||
cache: {
|
||||
write: cacheWriteInputTokens,
|
||||
read: cacheReadInputTokens,
|
||||
},
|
||||
}
|
||||
|
||||
const costInfo =
|
||||
input.model.cost?.experimentalOver200K && tokens.input + tokens.cache.read > 200_000
|
||||
? input.model.cost.experimentalOver200K
|
||||
: input.model.cost
|
||||
return {
|
||||
cost: safe(
|
||||
new Decimal(0)
|
||||
.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(costInfo?.output ?? 0).div(1_000_000))
|
||||
.toNumber(),
|
||||
),
|
||||
tokens,
|
||||
}
|
||||
},
|
||||
)
|
||||
|
||||
export class BusyError extends Error {
|
||||
constructor(public readonly sessionID: string) {
|
||||
super(`Session ${sessionID} is busy`)
|
||||
}
|
||||
}
|
||||
|
||||
export const initialize = fn(
|
||||
z.object({
|
||||
sessionID: SessionID.zod,
|
||||
modelID: ModelID.zod,
|
||||
providerID: ProviderID.zod,
|
||||
messageID: MessageID.zod,
|
||||
}),
|
||||
async (input) => {
|
||||
await SessionPrompt.command({
|
||||
sessionID: input.sessionID,
|
||||
messageID: input.messageID,
|
||||
model: input.providerID + "/" + input.modelID,
|
||||
command: Command.Default.INIT,
|
||||
arguments: "",
|
||||
})
|
||||
},
|
||||
z.object({ sessionID: SessionID.zod, modelID: ModelID.zod, providerID: ProviderID.zod, messageID: MessageID.zod }),
|
||||
(input) => runPromise((svc) => svc.initialize(input)),
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1,16 +1,6 @@
|
||||
import { Installation } from "@/installation"
|
||||
import { Provider } from "@/provider/provider"
|
||||
import { Log } from "@/util/log"
|
||||
import {
|
||||
streamText,
|
||||
wrapLanguageModel,
|
||||
type ModelMessage,
|
||||
type StreamTextResult,
|
||||
type Tool,
|
||||
type ToolSet,
|
||||
tool,
|
||||
jsonSchema,
|
||||
} from "ai"
|
||||
import { streamText, wrapLanguageModel, type ModelMessage, type Tool, tool, jsonSchema } from "ai"
|
||||
import { mergeDeep, pipe } from "remeda"
|
||||
import { GitLabWorkflowLanguageModel } from "gitlab-ai-provider"
|
||||
import { ProviderTransform } from "@/provider/transform"
|
||||
@@ -23,6 +13,7 @@ import { SystemPrompt } from "./system"
|
||||
import { Flag } from "@/flag/flag"
|
||||
import { Permission } from "@/permission"
|
||||
import { Auth } from "@/auth"
|
||||
import { Installation } from "@/installation"
|
||||
|
||||
export namespace LLM {
|
||||
const log = Log.create({ service: "llm" })
|
||||
@@ -43,8 +34,6 @@ export namespace LLM {
|
||||
toolChoice?: "auto" | "required" | "none"
|
||||
}
|
||||
|
||||
export type StreamOutput = StreamTextResult<ToolSet, unknown>
|
||||
|
||||
export async function stream(input: StreamInput) {
|
||||
const l = log
|
||||
.clone()
|
||||
@@ -273,8 +262,10 @@ export namespace LLM {
|
||||
model: language,
|
||||
middleware: [
|
||||
{
|
||||
specificationVersion: "v3" as const,
|
||||
async transformParams(args) {
|
||||
if (args.type === "stream") {
|
||||
// TODO: verify that LanguageModelV3Prompt is still compat here!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
|
||||
// @ts-expect-error
|
||||
args.params.prompt = ProviderTransform.message(args.params.prompt, input.model, options)
|
||||
}
|
||||
|
||||
@@ -573,11 +573,11 @@ export namespace MessageV2 {
|
||||
}))
|
||||
}
|
||||
|
||||
export function toModelMessages(
|
||||
export async function toModelMessages(
|
||||
input: WithParts[],
|
||||
model: Provider.Model,
|
||||
options?: { stripMedia?: boolean },
|
||||
): ModelMessage[] {
|
||||
): Promise<ModelMessage[]> {
|
||||
const result: UIMessage[] = []
|
||||
const toolNames = new Set<string>()
|
||||
// Track media from tool results that need to be injected as user messages
|
||||
@@ -601,7 +601,8 @@ export namespace MessageV2 {
|
||||
return false
|
||||
})()
|
||||
|
||||
const toModelOutput = (output: unknown) => {
|
||||
const toModelOutput = (options: { toolCallId: string; input: unknown; output: unknown }) => {
|
||||
const output = options.output
|
||||
if (typeof output === "string") {
|
||||
return { type: "text", value: output }
|
||||
}
|
||||
@@ -799,7 +800,7 @@ export namespace MessageV2 {
|
||||
|
||||
const tools = Object.fromEntries(Array.from(toolNames).map((toolName) => [toolName, { toModelOutput }]))
|
||||
|
||||
return convertToModelMessages(
|
||||
return await convertToModelMessages(
|
||||
result.filter((msg) => msg.parts.some((part) => part.type !== "step-start")),
|
||||
{
|
||||
//@ts-expect-error (convertToModelMessages expects a ToolSet but only actually needs tools[name]?.toModelOutput)
|
||||
@@ -871,7 +872,13 @@ export namespace MessageV2 {
|
||||
db.select().from(PartTable).where(eq(PartTable.message_id, message_id)).orderBy(PartTable.id).all(),
|
||||
)
|
||||
return rows.map(
|
||||
(row) => ({ ...row.data, id: row.id, sessionID: row.session_id, messageID: row.message_id }) as MessageV2.Part,
|
||||
(row) =>
|
||||
({
|
||||
...row.data,
|
||||
id: row.id,
|
||||
sessionID: row.session_id,
|
||||
messageID: row.message_id,
|
||||
}) as MessageV2.Part,
|
||||
)
|
||||
})
|
||||
|
||||
|
||||
@@ -11,7 +11,7 @@ import { Session } from "."
|
||||
import { Agent } from "../agent/agent"
|
||||
import { Provider } from "../provider/provider"
|
||||
import { ModelID, ProviderID } from "../provider/schema"
|
||||
import { type Tool as AITool, tool, jsonSchema, type ToolCallOptions, asSchema } from "ai"
|
||||
import { type Tool as AITool, tool, jsonSchema, type ToolExecutionOptions, asSchema } from "ai"
|
||||
import { SessionCompaction } from "./compaction"
|
||||
import { Instance } from "../project/instance"
|
||||
import { Bus } from "../bus"
|
||||
@@ -321,7 +321,13 @@ export namespace SessionPrompt {
|
||||
if (!lastUser) throw new Error("No user message found in stream. This should never happen.")
|
||||
if (
|
||||
lastAssistant?.finish &&
|
||||
!["tool-calls", "unknown"].includes(lastAssistant.finish) &&
|
||||
![
|
||||
"tool-calls",
|
||||
// in v6 unknown became other but other existed in v5 too and was distinctly different
|
||||
// I think there are certain providers that used to have bad stop reasons, not rlly sure which
|
||||
// ones if any still have this?
|
||||
// "unknown",
|
||||
].includes(lastAssistant.finish) &&
|
||||
lastUser.id < lastAssistant.id
|
||||
) {
|
||||
log.info("exiting loop", { sessionID })
|
||||
@@ -692,7 +698,7 @@ export namespace SessionPrompt {
|
||||
sessionID,
|
||||
system,
|
||||
messages: [
|
||||
...MessageV2.toModelMessages(msgs, model),
|
||||
...(await MessageV2.toModelMessages(msgs, model)),
|
||||
...(isLastStep
|
||||
? [
|
||||
{
|
||||
@@ -775,7 +781,7 @@ export namespace SessionPrompt {
|
||||
using _ = log.time("resolveTools")
|
||||
const tools: Record<string, AITool> = {}
|
||||
|
||||
const context = (args: any, options: ToolCallOptions): Tool.Context => ({
|
||||
const context = (args: any, options: ToolExecutionOptions): Tool.Context => ({
|
||||
sessionID: input.session.id,
|
||||
abort: options.abortSignal!,
|
||||
messageID: input.processor.message.id,
|
||||
@@ -861,7 +867,8 @@ export namespace SessionPrompt {
|
||||
const execute = item.execute
|
||||
if (!execute) continue
|
||||
|
||||
const transformed = ProviderTransform.schema(input.model, asSchema(item.inputSchema).jsonSchema)
|
||||
const schema = await asSchema(item.inputSchema).jsonSchema
|
||||
const transformed = ProviderTransform.schema(input.model, schema)
|
||||
item.inputSchema = jsonSchema(transformed)
|
||||
// Wrap execute to add plugin hooks and format output
|
||||
item.execute = async (args, opts) => {
|
||||
@@ -974,10 +981,10 @@ export namespace SessionPrompt {
|
||||
metadata: { valid: true },
|
||||
}
|
||||
},
|
||||
toModelOutput(result) {
|
||||
toModelOutput({ output }) {
|
||||
return {
|
||||
type: "text",
|
||||
value: result.output,
|
||||
value: output.output,
|
||||
}
|
||||
},
|
||||
})
|
||||
@@ -2010,28 +2017,28 @@ NOTE: At any point in time through this workflow you should feel free to ask the
|
||||
(await Provider.getSmallModel(input.providerID)) ?? (await Provider.getModel(input.providerID, input.modelID))
|
||||
)
|
||||
})
|
||||
const result = await LLM.stream({
|
||||
agent,
|
||||
user: firstRealUser.info as MessageV2.User,
|
||||
system: [],
|
||||
small: true,
|
||||
tools: {},
|
||||
model,
|
||||
abort: new AbortController().signal,
|
||||
sessionID: input.session.id,
|
||||
retries: 2,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: "Generate a title for this conversation:\n",
|
||||
},
|
||||
...(hasOnlySubtaskParts
|
||||
? [{ role: "user" as const, content: subtaskParts.map((p) => p.prompt).join("\n") }]
|
||||
: MessageV2.toModelMessages(contextMessages, model)),
|
||||
],
|
||||
})
|
||||
const text = await result.text.catch((err) => log.error("failed to generate title", { error: err }))
|
||||
if (text) {
|
||||
try {
|
||||
const result = await LLM.stream({
|
||||
agent,
|
||||
user: firstRealUser.info as MessageV2.User,
|
||||
system: [],
|
||||
small: true,
|
||||
tools: {},
|
||||
model,
|
||||
abort: new AbortController().signal,
|
||||
sessionID: input.session.id,
|
||||
retries: 2,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: "Generate a title for this conversation:\n",
|
||||
},
|
||||
...(hasOnlySubtaskParts
|
||||
? [{ role: "user" as const, content: subtaskParts.map((p) => p.prompt).join("\n") }]
|
||||
: await MessageV2.toModelMessages(contextMessages, model)),
|
||||
],
|
||||
})
|
||||
const text = await result.text
|
||||
const cleaned = text
|
||||
.replace(/<think>[\s\S]*?<\/think>\s*/g, "")
|
||||
.split("\n")
|
||||
@@ -2044,6 +2051,8 @@ NOTE: At any point in time through this workflow you should feel free to ask the
|
||||
if (NotFoundError.isInstance(err)) return
|
||||
throw err
|
||||
})
|
||||
} catch (error) {
|
||||
log.error("failed to generate title", { error })
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -479,11 +479,11 @@ test("continues loading when a plugin is missing config metadata", async () => {
|
||||
try {
|
||||
await TuiPluginRuntime.init(createTuiPluginApi())
|
||||
// bad plugin was skipped (no metadata entry)
|
||||
expect(await fs.readFile(path.join(tmp.path, "bad.txt"), "utf8")).rejects.toThrow()
|
||||
await expect(fs.readFile(path.join(tmp.path, "bad.txt"), "utf8")).rejects.toThrow()
|
||||
// good plugin loaded fine
|
||||
expect(await fs.readFile(tmp.extra.goodMarker, "utf8")).resolves.toBe("called")
|
||||
await expect(fs.readFile(tmp.extra.goodMarker, "utf8")).resolves.toBe("called")
|
||||
// bare string spec gets undefined options
|
||||
expect(await fs.readFile(tmp.extra.bareMarker, "utf8")).resolves.toBe("undefined")
|
||||
await expect(fs.readFile(tmp.extra.bareMarker, "utf8")).resolves.toBe("undefined")
|
||||
} finally {
|
||||
await TuiPluginRuntime.dispose()
|
||||
cwd.mockRestore()
|
||||
|
||||
@@ -1,7 +1,15 @@
|
||||
import { describe, expect, mock, test } from "bun:test"
|
||||
import { afterEach, describe, expect, mock, spyOn, test } from "bun:test"
|
||||
import fs from "fs/promises"
|
||||
import path from "path"
|
||||
import { tmpdir } from "../../fixture/fixture"
|
||||
import * as App from "../../../src/cli/cmd/tui/app"
|
||||
import { Rpc } from "../../../src/util/rpc"
|
||||
import { UI } from "../../../src/cli/ui"
|
||||
import * as Timeout from "../../../src/util/timeout"
|
||||
import * as Network from "../../../src/cli/network"
|
||||
import * as Win32 from "../../../src/cli/cmd/tui/win32"
|
||||
import { TuiConfig } from "../../../src/config/tui"
|
||||
import { Instance } from "../../../src/project/instance"
|
||||
|
||||
const stop = new Error("stop")
|
||||
const seen = {
|
||||
@@ -9,81 +17,43 @@ const seen = {
|
||||
inst: [] as string[],
|
||||
}
|
||||
|
||||
mock.module("../../../src/cli/cmd/tui/app", () => ({
|
||||
tui: async (input: { directory: string }) => {
|
||||
seen.tui.push(input.directory)
|
||||
function setup() {
|
||||
// Intentionally avoid mock.module() here: Bun keeps module overrides in cache
|
||||
// and mock.restore() does not reset mock.module values. If this switches back
|
||||
// to module mocks, later suites can see mocked @/config/tui and fail (e.g.
|
||||
// plugin-loader tests expecting real TuiConfig.waitForDependencies). See:
|
||||
// https://github.com/oven-sh/bun/issues/7823 and #12823.
|
||||
spyOn(App, "tui").mockImplementation(async (input) => {
|
||||
if (input.directory) seen.tui.push(input.directory)
|
||||
throw stop
|
||||
},
|
||||
}))
|
||||
|
||||
mock.module("@/util/rpc", () => ({
|
||||
Rpc: {
|
||||
client: () => ({
|
||||
call: async () => ({ url: "http://127.0.0.1" }),
|
||||
on: () => {},
|
||||
}),
|
||||
},
|
||||
}))
|
||||
|
||||
mock.module("@/cli/ui", () => ({
|
||||
UI: {
|
||||
error: () => {},
|
||||
},
|
||||
}))
|
||||
|
||||
mock.module("@/util/log", () => ({
|
||||
Log: {
|
||||
init: async () => {},
|
||||
create: () => ({
|
||||
error: () => {},
|
||||
info: () => {},
|
||||
warn: () => {},
|
||||
debug: () => {},
|
||||
time: () => ({ stop: () => {} }),
|
||||
}),
|
||||
Default: {
|
||||
error: () => {},
|
||||
info: () => {},
|
||||
warn: () => {},
|
||||
debug: () => {},
|
||||
},
|
||||
},
|
||||
}))
|
||||
|
||||
mock.module("@/util/timeout", () => ({
|
||||
withTimeout: <T>(input: Promise<T>) => input,
|
||||
}))
|
||||
|
||||
mock.module("@/cli/network", () => ({
|
||||
withNetworkOptions: <T>(input: T) => input,
|
||||
resolveNetworkOptions: async () => ({
|
||||
})
|
||||
spyOn(Rpc, "client").mockImplementation(() => ({
|
||||
call: async () => ({ url: "http://127.0.0.1" }) as never,
|
||||
on: () => () => {},
|
||||
}))
|
||||
spyOn(UI, "error").mockImplementation(() => {})
|
||||
spyOn(Timeout, "withTimeout").mockImplementation((input) => input)
|
||||
spyOn(Network, "resolveNetworkOptions").mockResolvedValue({
|
||||
mdns: false,
|
||||
port: 0,
|
||||
hostname: "127.0.0.1",
|
||||
}),
|
||||
}))
|
||||
|
||||
mock.module("../../../src/cli/cmd/tui/win32", () => ({
|
||||
win32DisableProcessedInput: () => {},
|
||||
win32InstallCtrlCGuard: () => undefined,
|
||||
}))
|
||||
|
||||
mock.module("@/config/tui", () => ({
|
||||
TuiConfig: {
|
||||
get: () => ({}),
|
||||
},
|
||||
}))
|
||||
|
||||
mock.module("@/project/instance", () => ({
|
||||
Instance: {
|
||||
provide: async (input: { directory: string; fn: () => Promise<unknown> | unknown }) => {
|
||||
seen.inst.push(input.directory)
|
||||
return input.fn()
|
||||
},
|
||||
},
|
||||
}))
|
||||
mdnsDomain: "opencode.local",
|
||||
cors: [],
|
||||
})
|
||||
spyOn(Win32, "win32DisableProcessedInput").mockImplementation(() => {})
|
||||
spyOn(Win32, "win32InstallCtrlCGuard").mockReturnValue(undefined)
|
||||
spyOn(TuiConfig, "get").mockResolvedValue({})
|
||||
spyOn(Instance, "provide").mockImplementation(async (input) => {
|
||||
seen.inst.push(input.directory)
|
||||
return input.fn()
|
||||
})
|
||||
}
|
||||
|
||||
describe("tui thread", () => {
|
||||
afterEach(() => {
|
||||
mock.restore()
|
||||
})
|
||||
|
||||
async function call(project?: string) {
|
||||
const { TuiThreadCommand } = await import("../../../src/cli/cmd/tui/thread")
|
||||
const args: Parameters<NonNullable<typeof TuiThreadCommand.handler>>[0] = {
|
||||
@@ -107,6 +77,7 @@ describe("tui thread", () => {
|
||||
}
|
||||
|
||||
async function check(project?: string) {
|
||||
setup()
|
||||
await using tmp = await tmpdir({ git: true })
|
||||
const cwd = process.cwd()
|
||||
const pwd = process.env.PWD
|
||||
|
||||
@@ -821,9 +821,12 @@ test("dedupes concurrent config dependency installs for the same dir", async ()
|
||||
})
|
||||
const online = spyOn(Network, "online").mockReturnValue(false)
|
||||
const run = spyOn(BunProc, "run").mockImplementation(async (_cmd, opts) => {
|
||||
calls += 1
|
||||
start()
|
||||
await gate
|
||||
const hit = path.normalize(opts?.cwd ?? "") === path.normalize(dir)
|
||||
if (hit) {
|
||||
calls += 1
|
||||
start()
|
||||
await gate
|
||||
}
|
||||
const mod = path.join(opts?.cwd ?? "", "node_modules", "@opencode-ai", "plugin")
|
||||
await fs.mkdir(mod, { recursive: true })
|
||||
await Filesystem.write(
|
||||
@@ -883,12 +886,16 @@ test("serializes config dependency installs across dirs", async () => {
|
||||
|
||||
const online = spyOn(Network, "online").mockReturnValue(false)
|
||||
const run = spyOn(BunProc, "run").mockImplementation(async (_cmd, opts) => {
|
||||
calls += 1
|
||||
open += 1
|
||||
peak = Math.max(peak, open)
|
||||
if (calls === 1) {
|
||||
start()
|
||||
await gate
|
||||
const cwd = path.normalize(opts?.cwd ?? "")
|
||||
const hit = cwd === path.normalize(a) || cwd === path.normalize(b)
|
||||
if (hit) {
|
||||
calls += 1
|
||||
open += 1
|
||||
peak = Math.max(peak, open)
|
||||
if (calls === 1) {
|
||||
start()
|
||||
await gate
|
||||
}
|
||||
}
|
||||
const mod = path.join(opts?.cwd ?? "", "node_modules", "@opencode-ai", "plugin")
|
||||
await fs.mkdir(mod, { recursive: true })
|
||||
@@ -896,7 +903,9 @@ test("serializes config dependency installs across dirs", async () => {
|
||||
path.join(mod, "package.json"),
|
||||
JSON.stringify({ name: "@opencode-ai/plugin", version: "1.0.0" }),
|
||||
)
|
||||
open -= 1
|
||||
if (hit) {
|
||||
open -= 1
|
||||
}
|
||||
return {
|
||||
code: 0,
|
||||
stdout: Buffer.alloc(0),
|
||||
|
||||
@@ -1,17 +1,13 @@
|
||||
import { NodeChildProcessSpawner, NodeFileSystem, NodePath } from "@effect/platform-node"
|
||||
import { NodeFileSystem } from "@effect/platform-node"
|
||||
import { describe, expect } from "bun:test"
|
||||
import { Effect, Layer } from "effect"
|
||||
import { provideTmpdirInstance } from "../fixture/fixture"
|
||||
import { testEffect } from "../lib/effect"
|
||||
import * as CrossSpawnSpawner from "../../src/effect/cross-spawn-spawner"
|
||||
import { Format } from "../../src/format"
|
||||
import { Config } from "../../src/config/config"
|
||||
import * as Formatter from "../../src/format/formatter"
|
||||
|
||||
const node = NodeChildProcessSpawner.layer.pipe(
|
||||
Layer.provideMerge(Layer.mergeAll(NodeFileSystem.layer, NodePath.layer)),
|
||||
)
|
||||
|
||||
const it = testEffect(Layer.mergeAll(Format.layer, node).pipe(Layer.provide(Config.defaultLayer)))
|
||||
const it = testEffect(Layer.mergeAll(Format.defaultLayer, CrossSpawnSpawner.defaultLayer, NodeFileSystem.layer))
|
||||
|
||||
describe("Format", () => {
|
||||
it.effect("status() returns built-in formatters when no config overrides", () =>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import { OpenAICompatibleChatLanguageModel } from "@/provider/sdk/copilot/chat/openai-compatible-chat-language-model"
|
||||
import { describe, test, expect, mock } from "bun:test"
|
||||
import type { LanguageModelV2Prompt } from "@ai-sdk/provider"
|
||||
import type { LanguageModelV3Prompt } from "@ai-sdk/provider"
|
||||
|
||||
async function convertReadableStreamToArray<T>(stream: ReadableStream<T>): Promise<T[]> {
|
||||
const reader = stream.getReader()
|
||||
@@ -13,7 +13,7 @@ async function convertReadableStreamToArray<T>(stream: ReadableStream<T>): Promi
|
||||
return result
|
||||
}
|
||||
|
||||
const TEST_PROMPT: LanguageModelV2Prompt = [{ role: "user", content: [{ type: "text", text: "Hello" }] }]
|
||||
const TEST_PROMPT: LanguageModelV3Prompt = [{ role: "user", content: [{ type: "text", text: "Hello" }] }]
|
||||
|
||||
// Fixtures from copilot_test.exs
|
||||
const FIXTURES = {
|
||||
@@ -123,7 +123,7 @@ describe("doStream", () => {
|
||||
{ type: "text-delta", id: "txt-0", delta: " world" },
|
||||
{ type: "text-delta", id: "txt-0", delta: "!" },
|
||||
{ type: "text-end", id: "txt-0" },
|
||||
{ type: "finish", finishReason: "stop" },
|
||||
{ type: "finish", finishReason: { unified: "stop" } },
|
||||
])
|
||||
})
|
||||
|
||||
@@ -201,10 +201,10 @@ describe("doStream", () => {
|
||||
const finish = parts.find((p) => p.type === "finish")
|
||||
expect(finish).toMatchObject({
|
||||
type: "finish",
|
||||
finishReason: "tool-calls",
|
||||
finishReason: { unified: "tool-calls" },
|
||||
usage: {
|
||||
inputTokens: 19581,
|
||||
outputTokens: 53,
|
||||
inputTokens: { total: 19581 },
|
||||
outputTokens: { total: 53 },
|
||||
},
|
||||
})
|
||||
})
|
||||
@@ -256,10 +256,10 @@ describe("doStream", () => {
|
||||
const finish = parts.find((p) => p.type === "finish")
|
||||
expect(finish).toMatchObject({
|
||||
type: "finish",
|
||||
finishReason: "stop",
|
||||
finishReason: { unified: "stop" },
|
||||
usage: {
|
||||
inputTokens: 5778,
|
||||
outputTokens: 59,
|
||||
inputTokens: { total: 5778 },
|
||||
outputTokens: { total: 59 },
|
||||
},
|
||||
providerMetadata: {
|
||||
copilot: {
|
||||
@@ -315,7 +315,7 @@ describe("doStream", () => {
|
||||
const finish = parts.find((p) => p.type === "finish")
|
||||
expect(finish).toMatchObject({
|
||||
type: "finish",
|
||||
finishReason: "stop",
|
||||
finishReason: { unified: "stop" },
|
||||
})
|
||||
})
|
||||
|
||||
@@ -388,10 +388,10 @@ describe("doStream", () => {
|
||||
const finish = parts.find((p) => p.type === "finish")
|
||||
expect(finish).toMatchObject({
|
||||
type: "finish",
|
||||
finishReason: "tool-calls",
|
||||
finishReason: { unified: "tool-calls" },
|
||||
usage: {
|
||||
inputTokens: 3767,
|
||||
outputTokens: 19,
|
||||
inputTokens: { total: 3767 },
|
||||
outputTokens: { total: 19 },
|
||||
},
|
||||
})
|
||||
})
|
||||
@@ -449,7 +449,7 @@ describe("doStream", () => {
|
||||
const finish = parts.find((p) => p.type === "finish")
|
||||
expect(finish).toMatchObject({
|
||||
type: "finish",
|
||||
finishReason: "tool-calls",
|
||||
finishReason: { unified: "tool-calls" },
|
||||
})
|
||||
})
|
||||
|
||||
|
||||
@@ -1,408 +1,412 @@
|
||||
import { test, expect, describe } from "bun:test"
|
||||
import path from "path"
|
||||
// TODO: UNCOMMENT WHEN GITLAB SUPPORT IS COMPLETED
|
||||
//
|
||||
//
|
||||
//
|
||||
// import { test, expect, describe } from "bun:test"
|
||||
// import path from "path"
|
||||
|
||||
import { ProviderID, ModelID } from "../../src/provider/schema"
|
||||
import { tmpdir } from "../fixture/fixture"
|
||||
import { Instance } from "../../src/project/instance"
|
||||
import { Provider } from "../../src/provider/provider"
|
||||
import { Env } from "../../src/env"
|
||||
import { Global } from "../../src/global"
|
||||
import { GitLabWorkflowLanguageModel } from "gitlab-ai-provider"
|
||||
// import { ProviderID, ModelID } from "../../src/provider/schema"
|
||||
// import { tmpdir } from "../fixture/fixture"
|
||||
// import { Instance } from "../../src/project/instance"
|
||||
// import { Provider } from "../../src/provider/provider"
|
||||
// import { Env } from "../../src/env"
|
||||
// import { Global } from "../../src/global"
|
||||
// import { GitLabWorkflowLanguageModel } from "gitlab-ai-provider"
|
||||
|
||||
test("GitLab Duo: loads provider with API key from environment", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-gitlab-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].key).toBe("test-gitlab-token")
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: loads provider with API key from environment", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-gitlab-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].key).toBe("test-gitlab-token")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: config instanceUrl option sets baseURL", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
provider: {
|
||||
gitlab: {
|
||||
options: {
|
||||
instanceUrl: "https://gitlab.example.com",
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
Env.set("GITLAB_INSTANCE_URL", "https://gitlab.example.com")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].options?.instanceUrl).toBe("https://gitlab.example.com")
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: config instanceUrl option sets baseURL", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// provider: {
|
||||
// gitlab: {
|
||||
// options: {
|
||||
// instanceUrl: "https://gitlab.example.com",
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// Env.set("GITLAB_INSTANCE_URL", "https://gitlab.example.com")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].options?.instanceUrl).toBe("https://gitlab.example.com")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: loads with OAuth token from auth.json", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
// test("GitLab Duo: loads with OAuth token from auth.json", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
|
||||
const authPath = path.join(Global.Path.data, "auth.json")
|
||||
await Bun.write(
|
||||
authPath,
|
||||
JSON.stringify({
|
||||
gitlab: {
|
||||
type: "oauth",
|
||||
access: "test-access-token",
|
||||
refresh: "test-refresh-token",
|
||||
expires: Date.now() + 3600000,
|
||||
},
|
||||
}),
|
||||
)
|
||||
// const authPath = path.join(Global.Path.data, "auth.json")
|
||||
// await Bun.write(
|
||||
// authPath,
|
||||
// JSON.stringify({
|
||||
// gitlab: {
|
||||
// type: "oauth",
|
||||
// access: "test-access-token",
|
||||
// refresh: "test-refresh-token",
|
||||
// expires: Date.now() + 3600000,
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
},
|
||||
})
|
||||
})
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: loads with Personal Access Token from auth.json", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
// test("GitLab Duo: loads with Personal Access Token from auth.json", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
|
||||
const authPath2 = path.join(Global.Path.data, "auth.json")
|
||||
await Bun.write(
|
||||
authPath2,
|
||||
JSON.stringify({
|
||||
gitlab: {
|
||||
type: "api",
|
||||
key: "glpat-test-pat-token",
|
||||
},
|
||||
}),
|
||||
)
|
||||
// const authPath2 = path.join(Global.Path.data, "auth.json")
|
||||
// await Bun.write(
|
||||
// authPath2,
|
||||
// JSON.stringify({
|
||||
// gitlab: {
|
||||
// type: "api",
|
||||
// key: "glpat-test-pat-token",
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].key).toBe("glpat-test-pat-token")
|
||||
},
|
||||
})
|
||||
})
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].key).toBe("glpat-test-pat-token")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: supports self-hosted instance configuration", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
provider: {
|
||||
gitlab: {
|
||||
options: {
|
||||
instanceUrl: "https://gitlab.company.internal",
|
||||
apiKey: "glpat-internal-token",
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_INSTANCE_URL", "https://gitlab.company.internal")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].options?.instanceUrl).toBe("https://gitlab.company.internal")
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: supports self-hosted instance configuration", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// provider: {
|
||||
// gitlab: {
|
||||
// options: {
|
||||
// instanceUrl: "https://gitlab.company.internal",
|
||||
// apiKey: "glpat-internal-token",
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_INSTANCE_URL", "https://gitlab.company.internal")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].options?.instanceUrl).toBe("https://gitlab.company.internal")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: config apiKey takes precedence over environment variable", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
provider: {
|
||||
gitlab: {
|
||||
options: {
|
||||
apiKey: "config-token",
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "env-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: config apiKey takes precedence over environment variable", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// provider: {
|
||||
// gitlab: {
|
||||
// options: {
|
||||
// apiKey: "config-token",
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "env-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: includes context-1m beta header in aiGatewayHeaders", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].options?.aiGatewayHeaders?.["anthropic-beta"]).toContain(
|
||||
"context-1m-2025-08-07",
|
||||
)
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: includes context-1m beta header in aiGatewayHeaders", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].options?.aiGatewayHeaders?.["anthropic-beta"]).toContain(
|
||||
// "context-1m-2025-08-07",
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: supports feature flags configuration", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
provider: {
|
||||
gitlab: {
|
||||
options: {
|
||||
featureFlags: {
|
||||
duo_agent_platform_agentic_chat: true,
|
||||
duo_agent_platform: true,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].options?.featureFlags).toBeDefined()
|
||||
expect(providers[ProviderID.gitlab].options?.featureFlags?.duo_agent_platform_agentic_chat).toBe(true)
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: supports feature flags configuration", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// provider: {
|
||||
// gitlab: {
|
||||
// options: {
|
||||
// featureFlags: {
|
||||
// duo_agent_platform_agentic_chat: true,
|
||||
// duo_agent_platform: true,
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// },
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].options?.featureFlags).toBeDefined()
|
||||
// expect(providers[ProviderID.gitlab].options?.featureFlags?.duo_agent_platform_agentic_chat).toBe(true)
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("GitLab Duo: has multiple agentic chat models available", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
const models = Object.keys(providers[ProviderID.gitlab].models)
|
||||
expect(models.length).toBeGreaterThan(0)
|
||||
expect(models).toContain("duo-chat-haiku-4-5")
|
||||
expect(models).toContain("duo-chat-sonnet-4-5")
|
||||
expect(models).toContain("duo-chat-opus-4-5")
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("GitLab Duo: has multiple agentic chat models available", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(
|
||||
// path.join(dir, "opencode.json"),
|
||||
// JSON.stringify({
|
||||
// $schema: "https://opencode.ai/config.json",
|
||||
// }),
|
||||
// )
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// const models = Object.keys(providers[ProviderID.gitlab].models)
|
||||
// expect(models.length).toBeGreaterThan(0)
|
||||
// expect(models).toContain("duo-chat-haiku-4-5")
|
||||
// expect(models).toContain("duo-chat-sonnet-4-5")
|
||||
// expect(models).toContain("duo-chat-opus-4-5")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
describe("GitLab Duo: workflow model routing", () => {
|
||||
test("duo-workflow-* model routes through workflowChat", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
const gitlab = providers[ProviderID.gitlab]
|
||||
expect(gitlab).toBeDefined()
|
||||
gitlab.models["duo-workflow-sonnet-4-6"] = {
|
||||
id: ModelID.make("duo-workflow-sonnet-4-6"),
|
||||
providerID: ProviderID.make("gitlab"),
|
||||
name: "Agent Platform (Claude Sonnet 4.6)",
|
||||
family: "",
|
||||
api: { id: "duo-workflow-sonnet-4-6", url: "https://gitlab.com", npm: "gitlab-ai-provider" },
|
||||
status: "active",
|
||||
headers: {},
|
||||
options: { workflowRef: "claude_sonnet_4_6" },
|
||||
cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
|
||||
limit: { context: 200000, output: 64000 },
|
||||
capabilities: {
|
||||
temperature: false,
|
||||
reasoning: true,
|
||||
attachment: true,
|
||||
toolcall: true,
|
||||
input: { text: true, audio: false, image: true, video: false, pdf: true },
|
||||
output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
interleaved: false,
|
||||
},
|
||||
release_date: "",
|
||||
variants: {},
|
||||
}
|
||||
const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-workflow-sonnet-4-6"))
|
||||
expect(model).toBeDefined()
|
||||
expect(model.options?.workflowRef).toBe("claude_sonnet_4_6")
|
||||
const language = await Provider.getLanguage(model)
|
||||
expect(language).toBeDefined()
|
||||
expect(language).toBeInstanceOf(GitLabWorkflowLanguageModel)
|
||||
},
|
||||
})
|
||||
})
|
||||
// describe("GitLab Duo: workflow model routing", () => {
|
||||
// test("duo-workflow-* model routes through workflowChat", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// const gitlab = providers[ProviderID.gitlab]
|
||||
// expect(gitlab).toBeDefined()
|
||||
// gitlab.models["duo-workflow-sonnet-4-6"] = {
|
||||
// id: ModelID.make("duo-workflow-sonnet-4-6"),
|
||||
// providerID: ProviderID.make("gitlab"),
|
||||
// name: "Agent Platform (Claude Sonnet 4.6)",
|
||||
// family: "",
|
||||
// api: { id: "duo-workflow-sonnet-4-6", url: "https://gitlab.com", npm: "gitlab-ai-provider" },
|
||||
// status: "active",
|
||||
// headers: {},
|
||||
// options: { workflowRef: "claude_sonnet_4_6" },
|
||||
// cost: { input: 0, output: 0, cache: { read: 0, write: 0 } },
|
||||
// limit: { context: 200000, output: 64000 },
|
||||
// capabilities: {
|
||||
// temperature: false,
|
||||
// reasoning: true,
|
||||
// attachment: true,
|
||||
// toolcall: true,
|
||||
// input: { text: true, audio: false, image: true, video: false, pdf: true },
|
||||
// output: { text: true, audio: false, image: false, video: false, pdf: false },
|
||||
// interleaved: false,
|
||||
// },
|
||||
// release_date: "",
|
||||
// variants: {},
|
||||
// }
|
||||
// const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-workflow-sonnet-4-6"))
|
||||
// expect(model).toBeDefined()
|
||||
// expect(model.options?.workflowRef).toBe("claude_sonnet_4_6")
|
||||
// const language = await Provider.getLanguage(model)
|
||||
// expect(language).toBeDefined()
|
||||
// expect(language).toBeInstanceOf(GitLabWorkflowLanguageModel)
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("duo-chat-* model routes through agenticChat (not workflow)", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-chat-sonnet-4-5"))
|
||||
expect(model).toBeDefined()
|
||||
const language = await Provider.getLanguage(model)
|
||||
expect(language).toBeDefined()
|
||||
expect(language).not.toBeInstanceOf(GitLabWorkflowLanguageModel)
|
||||
},
|
||||
})
|
||||
})
|
||||
// test("duo-chat-* model routes through agenticChat (not workflow)", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// expect(providers[ProviderID.gitlab]).toBeDefined()
|
||||
// const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-chat-sonnet-4-5"))
|
||||
// expect(model).toBeDefined()
|
||||
// const language = await Provider.getLanguage(model)
|
||||
// expect(language).toBeDefined()
|
||||
// expect(language).not.toBeInstanceOf(GitLabWorkflowLanguageModel)
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
|
||||
test("model.options merged with provider.options in getLanguage", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
const gitlab = providers[ProviderID.gitlab]
|
||||
expect(gitlab.options?.featureFlags).toBeDefined()
|
||||
const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-chat-sonnet-4-5"))
|
||||
expect(model).toBeDefined()
|
||||
expect(model.options).toBeDefined()
|
||||
},
|
||||
})
|
||||
})
|
||||
})
|
||||
// test("model.options merged with provider.options in getLanguage", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// const gitlab = providers[ProviderID.gitlab]
|
||||
// expect(gitlab.options?.featureFlags).toBeDefined()
|
||||
// const model = await Provider.getModel(ProviderID.gitlab, ModelID.make("duo-chat-sonnet-4-5"))
|
||||
// expect(model).toBeDefined()
|
||||
// expect(model.options).toBeDefined()
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
// })
|
||||
|
||||
describe("GitLab Duo: static models", () => {
|
||||
test("static duo-chat models always present regardless of discovery", async () => {
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
},
|
||||
})
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
init: async () => {
|
||||
Env.set("GITLAB_TOKEN", "test-token")
|
||||
},
|
||||
fn: async () => {
|
||||
const providers = await Provider.list()
|
||||
const models = Object.keys(providers[ProviderID.gitlab].models)
|
||||
expect(models).toContain("duo-chat-haiku-4-5")
|
||||
expect(models).toContain("duo-chat-sonnet-4-5")
|
||||
expect(models).toContain("duo-chat-opus-4-5")
|
||||
},
|
||||
})
|
||||
})
|
||||
})
|
||||
// describe("GitLab Duo: static models", () => {
|
||||
// test("static duo-chat models always present regardless of discovery", async () => {
|
||||
// await using tmp = await tmpdir({
|
||||
// init: async (dir) => {
|
||||
// await Bun.write(path.join(dir, "opencode.json"), JSON.stringify({ $schema: "https://opencode.ai/config.json" }))
|
||||
// },
|
||||
// })
|
||||
// await Instance.provide({
|
||||
// directory: tmp.path,
|
||||
// init: async () => {
|
||||
// Env.set("GITLAB_TOKEN", "test-token")
|
||||
// },
|
||||
// fn: async () => {
|
||||
// const providers = await Provider.list()
|
||||
// const models = Object.keys(providers[ProviderID.gitlab].models)
|
||||
// expect(models).toContain("duo-chat-haiku-4-5")
|
||||
// expect(models).toContain("duo-chat-sonnet-4-5")
|
||||
// expect(models).toContain("duo-chat-opus-4-5")
|
||||
// },
|
||||
// })
|
||||
// })
|
||||
// })
|
||||
|
||||
@@ -3,7 +3,6 @@ import path from "path"
|
||||
import { tool, type ModelMessage } from "ai"
|
||||
import z from "zod"
|
||||
import { LLM } from "../../src/session/llm"
|
||||
import { Global } from "../../src/global"
|
||||
import { Instance } from "../../src/project/instance"
|
||||
import { Provider } from "../../src/provider/provider"
|
||||
import { ProviderTransform } from "../../src/provider/transform"
|
||||
@@ -535,6 +534,130 @@ describe("session.llm.stream", () => {
|
||||
})
|
||||
})
|
||||
|
||||
test("accepts user image attachments as data URLs for OpenAI models", async () => {
|
||||
const server = state.server
|
||||
if (!server) {
|
||||
throw new Error("Server not initialized")
|
||||
}
|
||||
|
||||
const source = await loadFixture("openai", "gpt-5.2")
|
||||
const model = source.model
|
||||
const chunks = [
|
||||
{
|
||||
type: "response.created",
|
||||
response: {
|
||||
id: "resp-data-url",
|
||||
created_at: Math.floor(Date.now() / 1000),
|
||||
model: model.id,
|
||||
service_tier: null,
|
||||
},
|
||||
},
|
||||
{
|
||||
type: "response.output_text.delta",
|
||||
item_id: "item-data-url",
|
||||
delta: "Looks good",
|
||||
logprobs: null,
|
||||
},
|
||||
{
|
||||
type: "response.completed",
|
||||
response: {
|
||||
incomplete_details: null,
|
||||
usage: {
|
||||
input_tokens: 1,
|
||||
input_tokens_details: null,
|
||||
output_tokens: 1,
|
||||
output_tokens_details: null,
|
||||
},
|
||||
service_tier: null,
|
||||
},
|
||||
},
|
||||
]
|
||||
const request = waitRequest("/responses", createEventResponse(chunks, true))
|
||||
const image = `data:image/png;base64,${Buffer.from(
|
||||
await Bun.file(path.join(import.meta.dir, "../tool/fixtures/large-image.png")).arrayBuffer(),
|
||||
).toString("base64")}`
|
||||
|
||||
await using tmp = await tmpdir({
|
||||
init: async (dir) => {
|
||||
await Bun.write(
|
||||
path.join(dir, "opencode.json"),
|
||||
JSON.stringify({
|
||||
$schema: "https://opencode.ai/config.json",
|
||||
enabled_providers: ["openai"],
|
||||
provider: {
|
||||
openai: {
|
||||
name: "OpenAI",
|
||||
env: ["OPENAI_API_KEY"],
|
||||
npm: "@ai-sdk/openai",
|
||||
api: "https://api.openai.com/v1",
|
||||
models: {
|
||||
[model.id]: model,
|
||||
},
|
||||
options: {
|
||||
apiKey: "test-openai-key",
|
||||
baseURL: `${server.url.origin}/v1`,
|
||||
},
|
||||
},
|
||||
},
|
||||
}),
|
||||
)
|
||||
},
|
||||
})
|
||||
|
||||
await Instance.provide({
|
||||
directory: tmp.path,
|
||||
fn: async () => {
|
||||
const resolved = await Provider.getModel(ProviderID.openai, ModelID.make(model.id))
|
||||
const sessionID = SessionID.make("session-test-data-url")
|
||||
const agent = {
|
||||
name: "test",
|
||||
mode: "primary",
|
||||
options: {},
|
||||
permission: [{ permission: "*", pattern: "*", action: "allow" }],
|
||||
} satisfies Agent.Info
|
||||
|
||||
const user = {
|
||||
id: MessageID.make("user-data-url"),
|
||||
sessionID,
|
||||
role: "user",
|
||||
time: { created: Date.now() },
|
||||
agent: agent.name,
|
||||
model: { providerID: ProviderID.make("openai"), modelID: resolved.id },
|
||||
} satisfies MessageV2.User
|
||||
|
||||
const stream = await LLM.stream({
|
||||
user,
|
||||
sessionID,
|
||||
model: resolved,
|
||||
agent,
|
||||
system: ["You are a helpful assistant."],
|
||||
abort: new AbortController().signal,
|
||||
messages: [
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
{ type: "text", text: "Describe this image" },
|
||||
{
|
||||
type: "file",
|
||||
mediaType: "image/png",
|
||||
filename: "large-image.png",
|
||||
data: image,
|
||||
},
|
||||
],
|
||||
},
|
||||
] as ModelMessage[],
|
||||
tools: {},
|
||||
})
|
||||
|
||||
for await (const _ of stream.fullStream) {
|
||||
}
|
||||
|
||||
const capture = await request
|
||||
expect(capture.url.pathname.endsWith("/responses")).toBe(true)
|
||||
},
|
||||
})
|
||||
})
|
||||
|
||||
test("sends messages API payload for Anthropic models", async () => {
|
||||
const server = state.server
|
||||
if (!server) {
|
||||
@@ -625,7 +748,7 @@ describe("session.llm.stream", () => {
|
||||
role: "user",
|
||||
time: { created: Date.now() },
|
||||
agent: agent.name,
|
||||
model: { providerID: ProviderID.make(providerID), modelID: resolved.id },
|
||||
model: { providerID: ProviderID.make("minimax"), modelID: ModelID.make("MiniMax-M2.7") },
|
||||
} satisfies MessageV2.User
|
||||
|
||||
const stream = await LLM.stream({
|
||||
|
||||
@@ -108,7 +108,7 @@ function basePart(messageID: string, id: string) {
|
||||
}
|
||||
|
||||
describe("session.message-v2.toModelMessage", () => {
|
||||
test("filters out messages with no parts", () => {
|
||||
test("filters out messages with no parts", async () => {
|
||||
const input: MessageV2.WithParts[] = [
|
||||
{
|
||||
info: userInfo("m-empty"),
|
||||
@@ -126,7 +126,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "hello" }],
|
||||
@@ -134,7 +134,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("filters out messages with only ignored parts", () => {
|
||||
test("filters out messages with only ignored parts", async () => {
|
||||
const messageID = "m-user"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -151,10 +151,10 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
})
|
||||
|
||||
test("includes synthetic text parts", () => {
|
||||
test("includes synthetic text parts", async () => {
|
||||
const messageID = "m-user"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -182,7 +182,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "hello" }],
|
||||
@@ -194,7 +194,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("converts user text/file parts and injects compaction/subtask prompts", () => {
|
||||
test("converts user text/file parts and injects compaction/subtask prompts", async () => {
|
||||
const messageID = "m-user"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -249,7 +249,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [
|
||||
@@ -267,7 +267,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("converts assistant tool completion into tool-call + tool-result messages with attachments", () => {
|
||||
test("converts assistant tool completion into tool-call + tool-result messages with attachments", async () => {
|
||||
const userID = "m-user"
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
@@ -319,7 +319,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "run tool" }],
|
||||
@@ -359,7 +359,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("omits provider metadata when assistant model differs", () => {
|
||||
test("omits provider metadata when assistant model differs", async () => {
|
||||
const userID = "m-user"
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
@@ -402,7 +402,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "run tool" }],
|
||||
@@ -434,7 +434,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("replaces compacted tool output with placeholder", () => {
|
||||
test("replaces compacted tool output with placeholder", async () => {
|
||||
const userID = "m-user"
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
@@ -470,7 +470,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "run tool" }],
|
||||
@@ -501,7 +501,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("converts assistant tool error into error-text tool result", () => {
|
||||
test("converts assistant tool error into error-text tool result", async () => {
|
||||
const userID = "m-user"
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
@@ -537,7 +537,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "user",
|
||||
content: [{ type: "text", text: "run tool" }],
|
||||
@@ -570,7 +570,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("filters assistant messages with non-abort errors", () => {
|
||||
test("filters assistant messages with non-abort errors", async () => {
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -590,10 +590,10 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
})
|
||||
|
||||
test("includes aborted assistant messages only when they have non-step-start/reasoning content", () => {
|
||||
test("includes aborted assistant messages only when they have non-step-start/reasoning content", async () => {
|
||||
const assistantID1 = "m-assistant-1"
|
||||
const assistantID2 = "m-assistant-2"
|
||||
|
||||
@@ -633,7 +633,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "assistant",
|
||||
content: [
|
||||
@@ -644,7 +644,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("splits assistant messages on step-start boundaries", () => {
|
||||
test("splits assistant messages on step-start boundaries", async () => {
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -669,7 +669,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([
|
||||
{
|
||||
role: "assistant",
|
||||
content: [{ type: "text", text: "first" }],
|
||||
@@ -681,7 +681,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
])
|
||||
})
|
||||
|
||||
test("drops messages that only contain step-start parts", () => {
|
||||
test("drops messages that only contain step-start parts", async () => {
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
const input: MessageV2.WithParts[] = [
|
||||
@@ -696,10 +696,10 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
expect(MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
expect(await MessageV2.toModelMessages(input, model)).toStrictEqual([])
|
||||
})
|
||||
|
||||
test("converts pending/running tool calls to error results to prevent dangling tool_use", () => {
|
||||
test("converts pending/running tool calls to error results to prevent dangling tool_use", async () => {
|
||||
const userID = "m-user"
|
||||
const assistantID = "m-assistant"
|
||||
|
||||
@@ -743,7 +743,7 @@ describe("session.message-v2.toModelMessage", () => {
|
||||
},
|
||||
]
|
||||
|
||||
const result = MessageV2.toModelMessages(input, model)
|
||||
const result = await MessageV2.toModelMessages(input, model)
|
||||
|
||||
expect(result).toStrictEqual([
|
||||
{
|
||||
|
||||
@@ -363,20 +363,25 @@ describe("structured-output.createStructuredOutputTool", () => {
|
||||
expect(inputSchema.jsonSchema?.properties?.tags?.items?.type).toBe("string")
|
||||
})
|
||||
|
||||
test("toModelOutput returns text value", () => {
|
||||
test("toModelOutput returns text value", async () => {
|
||||
const tool = SessionPrompt.createStructuredOutputTool({
|
||||
schema: { type: "object" },
|
||||
onSuccess: () => {},
|
||||
})
|
||||
|
||||
expect(tool.toModelOutput).toBeDefined()
|
||||
const modelOutput = tool.toModelOutput!({
|
||||
output: "Test output",
|
||||
title: "Test",
|
||||
metadata: { valid: true },
|
||||
})
|
||||
const modelOutput = await Promise.resolve(
|
||||
tool.toModelOutput!({
|
||||
toolCallId: "test-call-id",
|
||||
input: {},
|
||||
output: {
|
||||
output: "Test output",
|
||||
},
|
||||
}),
|
||||
)
|
||||
|
||||
expect(modelOutput.type).toBe("text")
|
||||
if (modelOutput.type !== "text") throw new Error("expected text model output")
|
||||
expect(modelOutput.value).toBe("Test output")
|
||||
})
|
||||
|
||||
|
||||
@@ -9,7 +9,8 @@
|
||||
overflow: visible;
|
||||
|
||||
&.tool-collapsible {
|
||||
gap: 8px;
|
||||
--tool-content-gap: 8px;
|
||||
gap: var(--tool-content-gap);
|
||||
}
|
||||
|
||||
[data-slot="collapsible-trigger"] {
|
||||
|
||||
@@ -636,14 +636,17 @@
|
||||
}
|
||||
|
||||
[data-component="context-tool-group-list"] {
|
||||
padding: 6px 0 4px 0;
|
||||
padding-top: 6px;
|
||||
padding-right: 0;
|
||||
padding-bottom: 4px;
|
||||
padding-left: 13px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 2px;
|
||||
gap: 8px;
|
||||
|
||||
[data-slot="context-tool-group-item"] {
|
||||
min-width: 0;
|
||||
padding: 6px 0;
|
||||
padding: 0;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1154,8 +1157,8 @@
|
||||
position: sticky;
|
||||
top: var(--sticky-accordion-top, 0px);
|
||||
z-index: 20;
|
||||
height: 40px;
|
||||
padding-bottom: 8px;
|
||||
height: calc(32px + var(--tool-content-gap));
|
||||
padding-bottom: var(--tool-content-gap);
|
||||
background-color: var(--background-stronger);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -156,37 +156,75 @@ export type PartComponent = Component<MessagePartProps>
|
||||
|
||||
export const PART_MAPPING: Record<string, PartComponent | undefined> = {}
|
||||
|
||||
const TEXT_RENDER_THROTTLE_MS = 100
|
||||
const TEXT_RENDER_PACE_MS = 24
|
||||
const TEXT_RENDER_SNAP = /[\s.,!?;:)\]]/
|
||||
|
||||
function createThrottledValue(getValue: () => string) {
|
||||
function step(size: number) {
|
||||
if (size <= 12) return 2
|
||||
if (size <= 48) return 4
|
||||
if (size <= 96) return 8
|
||||
return Math.min(24, Math.ceil(size / 8))
|
||||
}
|
||||
|
||||
function next(text: string, start: number) {
|
||||
const end = Math.min(text.length, start + step(text.length - start))
|
||||
const max = Math.min(text.length, end + 8)
|
||||
for (let i = end; i < max; i++) {
|
||||
if (TEXT_RENDER_SNAP.test(text[i] ?? "")) return i + 1
|
||||
}
|
||||
return end
|
||||
}
|
||||
|
||||
function createPacedValue(getValue: () => string, live?: () => boolean) {
|
||||
const [value, setValue] = createSignal(getValue())
|
||||
let shown = getValue()
|
||||
let timeout: ReturnType<typeof setTimeout> | undefined
|
||||
let last = 0
|
||||
|
||||
createEffect(() => {
|
||||
const next = getValue()
|
||||
const now = Date.now()
|
||||
const clear = () => {
|
||||
if (!timeout) return
|
||||
clearTimeout(timeout)
|
||||
timeout = undefined
|
||||
}
|
||||
|
||||
const remaining = TEXT_RENDER_THROTTLE_MS - (now - last)
|
||||
if (remaining <= 0) {
|
||||
if (timeout) {
|
||||
clearTimeout(timeout)
|
||||
timeout = undefined
|
||||
}
|
||||
last = now
|
||||
setValue(next)
|
||||
const sync = (text: string) => {
|
||||
shown = text
|
||||
setValue(text)
|
||||
}
|
||||
|
||||
const run = () => {
|
||||
timeout = undefined
|
||||
const text = getValue()
|
||||
if (!live?.()) {
|
||||
sync(text)
|
||||
return
|
||||
}
|
||||
if (timeout) clearTimeout(timeout)
|
||||
timeout = setTimeout(() => {
|
||||
last = Date.now()
|
||||
setValue(next)
|
||||
timeout = undefined
|
||||
}, remaining)
|
||||
if (!text.startsWith(shown) || text.length <= shown.length) {
|
||||
sync(text)
|
||||
return
|
||||
}
|
||||
const end = next(text, shown.length)
|
||||
sync(text.slice(0, end))
|
||||
if (end < text.length) timeout = setTimeout(run, TEXT_RENDER_PACE_MS)
|
||||
}
|
||||
|
||||
createEffect(() => {
|
||||
const text = getValue()
|
||||
if (!live?.()) {
|
||||
clear()
|
||||
sync(text)
|
||||
return
|
||||
}
|
||||
if (!text.startsWith(shown) || text.length < shown.length) {
|
||||
clear()
|
||||
sync(text)
|
||||
return
|
||||
}
|
||||
if (text.length === shown.length || timeout) return
|
||||
timeout = setTimeout(run, TEXT_RENDER_PACE_MS)
|
||||
})
|
||||
|
||||
onCleanup(() => {
|
||||
if (timeout) clearTimeout(timeout)
|
||||
clear()
|
||||
})
|
||||
|
||||
return value
|
||||
@@ -790,7 +828,7 @@ function ContextToolGroup(props: { parts: ToolPart[]; busy?: boolean }) {
|
||||
const summary = createMemo(() => contextToolSummary(props.parts))
|
||||
|
||||
return (
|
||||
<Collapsible open={open()} onOpenChange={setOpen} variant="ghost">
|
||||
<Collapsible open={open()} onOpenChange={setOpen} variant="ghost" class="tool-collapsible">
|
||||
<Collapsible.Trigger>
|
||||
<div data-component="context-tool-group-trigger">
|
||||
<span
|
||||
@@ -1332,11 +1370,11 @@ PART_MAPPING["text"] = function TextPartDisplay(props) {
|
||||
return items.filter((x) => !!x).join(" \u00B7 ")
|
||||
})
|
||||
|
||||
const displayText = () => (part().text ?? "").trim()
|
||||
const throttledText = createThrottledValue(displayText)
|
||||
const streaming = createMemo(
|
||||
() => props.message.role === "assistant" && typeof (props.message as AssistantMessage).time.completed !== "number",
|
||||
)
|
||||
const displayText = () => (part().text ?? "").trim()
|
||||
const throttledText = createPacedValue(displayText, streaming)
|
||||
const isLastTextPart = createMemo(() => {
|
||||
const last = (data.store.part?.[props.message.id] ?? [])
|
||||
.filter((item): item is TextPart => item?.type === "text" && !!item.text?.trim())
|
||||
@@ -1395,11 +1433,11 @@ PART_MAPPING["text"] = function TextPartDisplay(props) {
|
||||
|
||||
PART_MAPPING["reasoning"] = function ReasoningPartDisplay(props) {
|
||||
const part = () => props.part as ReasoningPart
|
||||
const text = () => part().text.trim()
|
||||
const throttledText = createThrottledValue(text)
|
||||
const streaming = createMemo(
|
||||
() => props.message.role === "assistant" && typeof (props.message as AssistantMessage).time.completed !== "number",
|
||||
)
|
||||
const text = () => part().text.trim()
|
||||
const throttledText = createPacedValue(text, streaming)
|
||||
|
||||
return (
|
||||
<Show when={throttledText()}>
|
||||
|
||||
@@ -567,6 +567,7 @@ function compactionPart(): CompactionPart {
|
||||
const MD = "markdown.css"
|
||||
const MP = "message-part.css"
|
||||
const ST = "session-turn.css"
|
||||
const CL = "collapsible.css"
|
||||
|
||||
/**
|
||||
* Source mapping for a CSS control.
|
||||
@@ -1039,6 +1040,48 @@ const CSS_CONTROLS: CSSControl[] = [
|
||||
},
|
||||
|
||||
// --- Tool parts ---
|
||||
{
|
||||
key: "tool-content-gap",
|
||||
label: "Trigger/content gap",
|
||||
group: "Tool Parts",
|
||||
type: "range",
|
||||
initial: "8",
|
||||
selector: '[data-component="collapsible"].tool-collapsible',
|
||||
property: "--tool-content-gap",
|
||||
min: "0",
|
||||
max: "24",
|
||||
step: "1",
|
||||
unit: "px",
|
||||
source: { file: CL, anchor: "&.tool-collapsible {", prop: "--tool-content-gap", format: px },
|
||||
},
|
||||
{
|
||||
key: "context-tool-gap",
|
||||
label: "Explored tool gap",
|
||||
group: "Explored Group",
|
||||
type: "range",
|
||||
initial: "14",
|
||||
selector: '[data-component="context-tool-group-list"]',
|
||||
property: "gap",
|
||||
min: "0",
|
||||
max: "40",
|
||||
step: "1",
|
||||
unit: "px",
|
||||
source: { file: MP, anchor: '[data-component="context-tool-group-list"]', prop: "gap", format: px },
|
||||
},
|
||||
{
|
||||
key: "context-tool-indent",
|
||||
label: "Explored indent",
|
||||
group: "Explored Group",
|
||||
type: "range",
|
||||
initial: "0",
|
||||
selector: '[data-component="context-tool-group-list"]',
|
||||
property: "padding-left",
|
||||
min: "0",
|
||||
max: "48",
|
||||
step: "1",
|
||||
unit: "px",
|
||||
source: { file: MP, anchor: '[data-component="context-tool-group-list"]', prop: "padding-left", format: px },
|
||||
},
|
||||
{
|
||||
key: "bash-max-height",
|
||||
label: "Shell output max-height",
|
||||
@@ -1099,8 +1142,9 @@ function Playground() {
|
||||
const el = (root.querySelector(sample(ctrl)) ?? root.querySelector(ctrl.selector)) as HTMLElement | null
|
||||
if (!el) continue
|
||||
const styles = getComputedStyle(el)
|
||||
// Use bracket access — getPropertyValue doesn't resolve shorthands
|
||||
const raw = (styles as any)[ctrl.property] as string
|
||||
const raw = ctrl.property.startsWith("--")
|
||||
? styles.getPropertyValue(ctrl.property).trim()
|
||||
: ((styles as any)[ctrl.property] as string)
|
||||
if (!raw) continue
|
||||
// Shorthands may return "24px 0px" — take the first value
|
||||
const num = parseFloat(raw.split(" ")[0])
|
||||
|
||||
119
patches/@ai-sdk%2Fanthropic@3.0.64.patch
Normal file
119
patches/@ai-sdk%2Fanthropic@3.0.64.patch
Normal file
@@ -0,0 +1,119 @@
|
||||
--- a/dist/index.js
|
||||
+++ b/dist/index.js
|
||||
@@ -3155,15 +3155,6 @@
|
||||
});
|
||||
}
|
||||
baseArgs.max_tokens = maxTokens + (thinkingBudget != null ? thinkingBudget : 0);
|
||||
- } else {
|
||||
- if (topP != null && temperature != null) {
|
||||
- warnings.push({
|
||||
- type: "unsupported",
|
||||
- feature: "topP",
|
||||
- details: `topP is not supported when temperature is set. topP is ignored.`
|
||||
- });
|
||||
- baseArgs.top_p = void 0;
|
||||
- }
|
||||
}
|
||||
if (isKnownModel && baseArgs.max_tokens > maxOutputTokensForModel) {
|
||||
if (maxOutputTokens != null) {
|
||||
@@ -5180,4 +5171,4 @@
|
||||
createAnthropic,
|
||||
forwardAnthropicContainerIdFromLastStep
|
||||
});
|
||||
-//# sourceMappingURL=index.js.map
|
||||
\ No newline at end of file
|
||||
+//# sourceMappingURL=index.js.map
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -3192,15 +3192,6 @@
|
||||
});
|
||||
}
|
||||
baseArgs.max_tokens = maxTokens + (thinkingBudget != null ? thinkingBudget : 0);
|
||||
- } else {
|
||||
- if (topP != null && temperature != null) {
|
||||
- warnings.push({
|
||||
- type: "unsupported",
|
||||
- feature: "topP",
|
||||
- details: `topP is not supported when temperature is set. topP is ignored.`
|
||||
- });
|
||||
- baseArgs.top_p = void 0;
|
||||
- }
|
||||
}
|
||||
if (isKnownModel && baseArgs.max_tokens > maxOutputTokensForModel) {
|
||||
if (maxOutputTokens != null) {
|
||||
@@ -5256,4 +5247,4 @@
|
||||
createAnthropic,
|
||||
forwardAnthropicContainerIdFromLastStep
|
||||
};
|
||||
-//# sourceMappingURL=index.mjs.map
|
||||
\ No newline at end of file
|
||||
+//# sourceMappingURL=index.mjs.map
|
||||
--- a/dist/internal/index.js
|
||||
+++ b/dist/internal/index.js
|
||||
@@ -3147,15 +3147,6 @@
|
||||
});
|
||||
}
|
||||
baseArgs.max_tokens = maxTokens + (thinkingBudget != null ? thinkingBudget : 0);
|
||||
- } else {
|
||||
- if (topP != null && temperature != null) {
|
||||
- warnings.push({
|
||||
- type: "unsupported",
|
||||
- feature: "topP",
|
||||
- details: `topP is not supported when temperature is set. topP is ignored.`
|
||||
- });
|
||||
- baseArgs.top_p = void 0;
|
||||
- }
|
||||
}
|
||||
if (isKnownModel && baseArgs.max_tokens > maxOutputTokensForModel) {
|
||||
if (maxOutputTokens != null) {
|
||||
@@ -5080,4 +5071,4 @@
|
||||
anthropicTools,
|
||||
prepareTools
|
||||
});
|
||||
-//# sourceMappingURL=index.js.map
|
||||
\ No newline at end of file
|
||||
+//# sourceMappingURL=index.js.map
|
||||
--- a/dist/internal/index.mjs
|
||||
+++ b/dist/internal/index.mjs
|
||||
@@ -3176,15 +3176,6 @@
|
||||
});
|
||||
}
|
||||
baseArgs.max_tokens = maxTokens + (thinkingBudget != null ? thinkingBudget : 0);
|
||||
- } else {
|
||||
- if (topP != null && temperature != null) {
|
||||
- warnings.push({
|
||||
- type: "unsupported",
|
||||
- feature: "topP",
|
||||
- details: `topP is not supported when temperature is set. topP is ignored.`
|
||||
- });
|
||||
- baseArgs.top_p = void 0;
|
||||
- }
|
||||
}
|
||||
if (isKnownModel && baseArgs.max_tokens > maxOutputTokensForModel) {
|
||||
if (maxOutputTokens != null) {
|
||||
@@ -5148,4 +5139,4 @@
|
||||
anthropicTools,
|
||||
prepareTools
|
||||
};
|
||||
-//# sourceMappingURL=index.mjs.map
|
||||
\ No newline at end of file
|
||||
+//# sourceMappingURL=index.mjs.map
|
||||
--- a/src/anthropic-messages-language-model.ts
|
||||
+++ b/src/anthropic-messages-language-model.ts
|
||||
@@ -534,16 +534,6 @@
|
||||
|
||||
// adjust max tokens to account for thinking:
|
||||
baseArgs.max_tokens = maxTokens + (thinkingBudget ?? 0);
|
||||
- } else {
|
||||
- // Only check temperature/topP mutual exclusivity when thinking is not enabled
|
||||
- if (topP != null && temperature != null) {
|
||||
- warnings.push({
|
||||
- type: 'unsupported',
|
||||
- feature: 'topP',
|
||||
- details: `topP is not supported when temperature is set. topP is ignored.`,
|
||||
- });
|
||||
- baseArgs.top_p = undefined;
|
||||
- }
|
||||
}
|
||||
|
||||
// limit to max output tokens for known models to enable model switching without breaking it:
|
||||
61
patches/@ai-sdk%2Fprovider-utils@4.0.21.patch
Normal file
61
patches/@ai-sdk%2Fprovider-utils@4.0.21.patch
Normal file
@@ -0,0 +1,61 @@
|
||||
diff --git a/dist/index.js b/dist/index.js
|
||||
index 9aa8e83684777e860d905ff7a6895995a7347a4f..820797581ac2a33e731e139da3ebc98b4d93fdcf 100644
|
||||
--- a/dist/index.js
|
||||
+++ b/dist/index.js
|
||||
@@ -395,10 +395,13 @@ function validateDownloadUrl(url) {
|
||||
message: `Invalid URL: ${url}`
|
||||
});
|
||||
}
|
||||
+ if (parsed.protocol === "data:") {
|
||||
+ return;
|
||||
+ }
|
||||
if (parsed.protocol !== "http:" && parsed.protocol !== "https:") {
|
||||
throw new DownloadError({
|
||||
url,
|
||||
- message: `URL scheme must be http or https, got ${parsed.protocol}`
|
||||
+ message: `URL scheme must be http, https, or data, got ${parsed.protocol}`
|
||||
});
|
||||
}
|
||||
const hostname = parsed.hostname;
|
||||
diff --git a/dist/index.mjs b/dist/index.mjs
|
||||
index 095fdc188b1d7f227b42591c78ecb71fe2e2cf8b..ca5227d3b6e358aea8ecd85782a0a2b48130a2c9 100644
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -299,10 +299,13 @@ function validateDownloadUrl(url) {
|
||||
message: `Invalid URL: ${url}`
|
||||
});
|
||||
}
|
||||
+ if (parsed.protocol === "data:") {
|
||||
+ return;
|
||||
+ }
|
||||
if (parsed.protocol !== "http:" && parsed.protocol !== "https:") {
|
||||
throw new DownloadError({
|
||||
url,
|
||||
- message: `URL scheme must be http or https, got ${parsed.protocol}`
|
||||
+ message: `URL scheme must be http, https, or data, got ${parsed.protocol}`
|
||||
});
|
||||
}
|
||||
const hostname = parsed.hostname;
|
||||
diff --git a/src/validate-download-url.ts b/src/validate-download-url.ts
|
||||
index 7c026ad6b400aef551ce3a424c343e1cedc60997..6a2f11398e58f80a8e11995ac1ce5f4d7c110561 100644
|
||||
--- a/src/validate-download-url.ts
|
||||
+++ b/src/validate-download-url.ts
|
||||
@@ -18,11 +18,16 @@ export function validateDownloadUrl(url: string): void {
|
||||
});
|
||||
}
|
||||
|
||||
- // Only allow http and https protocols
|
||||
+ // data: URLs are inline content and do not make network requests.
|
||||
+ if (parsed.protocol === 'data:') {
|
||||
+ return;
|
||||
+ }
|
||||
+
|
||||
+ // Only allow http and https network protocols
|
||||
if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') {
|
||||
throw new DownloadError({
|
||||
url,
|
||||
- message: `URL scheme must be http or https, got ${parsed.protocol}`,
|
||||
+ message: `URL scheme must be http, https, or data, got ${parsed.protocol}`,
|
||||
});
|
||||
}
|
||||
|
||||
@@ -1,108 +0,0 @@
|
||||
diff --git a/dist/index.mjs b/dist/index.mjs
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -959,7 +959,7 @@
|
||||
model: z4.string().nullish(),
|
||||
object: z4.literal("response"),
|
||||
output: z4.array(outputItemSchema),
|
||||
- usage: xaiResponsesUsageSchema,
|
||||
+ usage: xaiResponsesUsageSchema.nullish(),
|
||||
status: z4.string()
|
||||
});
|
||||
var xaiResponsesChunkSchema = z4.union([
|
||||
\ No newline at end of file
|
||||
@@ -1143,6 +1143,18 @@
|
||||
z4.object({
|
||||
type: z4.literal("response.completed"),
|
||||
response: xaiResponsesResponseSchema
|
||||
+ }),
|
||||
+ z4.object({
|
||||
+ type: z4.literal("response.function_call_arguments.delta"),
|
||||
+ item_id: z4.string(),
|
||||
+ output_index: z4.number(),
|
||||
+ delta: z4.string()
|
||||
+ }),
|
||||
+ z4.object({
|
||||
+ type: z4.literal("response.function_call_arguments.done"),
|
||||
+ item_id: z4.string(),
|
||||
+ output_index: z4.number(),
|
||||
+ arguments: z4.string()
|
||||
})
|
||||
]);
|
||||
|
||||
\ No newline at end of file
|
||||
@@ -1940,6 +1952,9 @@
|
||||
if (response2.status) {
|
||||
finishReason = mapXaiResponsesFinishReason(response2.status);
|
||||
}
|
||||
+ if (seenToolCalls.size > 0 && finishReason !== "tool-calls") {
|
||||
+ finishReason = "tool-calls";
|
||||
+ }
|
||||
return;
|
||||
}
|
||||
if (event.type === "response.output_item.added" || event.type === "response.output_item.done") {
|
||||
\ No newline at end of file
|
||||
@@ -2024,7 +2039,7 @@
|
||||
}
|
||||
}
|
||||
} else if (part.type === "function_call") {
|
||||
- if (!seenToolCalls.has(part.call_id)) {
|
||||
+ if (event.type === "response.output_item.done" && !seenToolCalls.has(part.call_id)) {
|
||||
seenToolCalls.add(part.call_id);
|
||||
controller.enqueue({
|
||||
type: "tool-input-start",
|
||||
\ No newline at end of file
|
||||
diff --git a/dist/index.js b/dist/index.js
|
||||
--- a/dist/index.js
|
||||
+++ b/dist/index.js
|
||||
@@ -964,7 +964,7 @@
|
||||
model: import_v44.z.string().nullish(),
|
||||
object: import_v44.z.literal("response"),
|
||||
output: import_v44.z.array(outputItemSchema),
|
||||
- usage: xaiResponsesUsageSchema,
|
||||
+ usage: xaiResponsesUsageSchema.nullish(),
|
||||
status: import_v44.z.string()
|
||||
});
|
||||
var xaiResponsesChunkSchema = import_v44.z.union([
|
||||
\ No newline at end of file
|
||||
@@ -1148,6 +1148,18 @@
|
||||
import_v44.z.object({
|
||||
type: import_v44.z.literal("response.completed"),
|
||||
response: xaiResponsesResponseSchema
|
||||
+ }),
|
||||
+ import_v44.z.object({
|
||||
+ type: import_v44.z.literal("response.function_call_arguments.delta"),
|
||||
+ item_id: import_v44.z.string(),
|
||||
+ output_index: import_v44.z.number(),
|
||||
+ delta: import_v44.z.string()
|
||||
+ }),
|
||||
+ import_v44.z.object({
|
||||
+ type: import_v44.z.literal("response.function_call_arguments.done"),
|
||||
+ item_id: import_v44.z.string(),
|
||||
+ output_index: import_v44.z.number(),
|
||||
+ arguments: import_v44.z.string()
|
||||
})
|
||||
]);
|
||||
|
||||
\ No newline at end of file
|
||||
@@ -1935,6 +1947,9 @@
|
||||
if (response2.status) {
|
||||
finishReason = mapXaiResponsesFinishReason(response2.status);
|
||||
}
|
||||
+ if (seenToolCalls.size > 0 && finishReason !== "tool-calls") {
|
||||
+ finishReason = "tool-calls";
|
||||
+ }
|
||||
return;
|
||||
}
|
||||
if (event.type === "response.output_item.added" || event.type === "response.output_item.done") {
|
||||
\ No newline at end of file
|
||||
@@ -2019,7 +2034,7 @@
|
||||
}
|
||||
}
|
||||
} else if (part.type === "function_call") {
|
||||
- if (!seenToolCalls.has(part.call_id)) {
|
||||
+ if (event.type === "response.output_item.done" && !seenToolCalls.has(part.call_id)) {
|
||||
seenToolCalls.add(part.call_id);
|
||||
controller.enqueue({
|
||||
type: "tool-input-start",
|
||||
\ No newline at end of file
|
||||
@@ -1,128 +0,0 @@
|
||||
diff --git a/dist/index.js b/dist/index.js
|
||||
index f33510a50d11a2cb92a90ea70cc0ac84c89f29b9..e887a60352c0c08ab794b1e6821854dfeefd20cc 100644
|
||||
--- a/dist/index.js
|
||||
+++ b/dist/index.js
|
||||
@@ -2110,7 +2110,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted && !textStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
reasoningStarted = false;
|
||||
}
|
||||
@@ -2307,7 +2312,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
}
|
||||
if (textStarted) {
|
||||
diff --git a/dist/index.mjs b/dist/index.mjs
|
||||
index 8a688331b88b4af738ee4ca8062b5f24124d3d81..6310cb8b7c8d0a728d86e1eed09906c6b4c91ae2 100644
|
||||
--- a/dist/index.mjs
|
||||
+++ b/dist/index.mjs
|
||||
@@ -2075,7 +2075,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted && !textStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
reasoningStarted = false;
|
||||
}
|
||||
@@ -2272,7 +2277,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
}
|
||||
if (textStarted) {
|
||||
diff --git a/dist/internal/index.js b/dist/internal/index.js
|
||||
index d40fa66125941155ac13a4619503caba24d89f8a..8dd86d1b473f2fa31c1acd9881d72945b294a197 100644
|
||||
--- a/dist/internal/index.js
|
||||
+++ b/dist/internal/index.js
|
||||
@@ -2064,7 +2064,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted && !textStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
reasoningStarted = false;
|
||||
}
|
||||
@@ -2261,7 +2266,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
}
|
||||
if (textStarted) {
|
||||
diff --git a/dist/internal/index.mjs b/dist/internal/index.mjs
|
||||
index b0ed9d113549c5c55ea3b1e08abb3db6f92ae5a7..5695930a8e038facc071d58a4179a369a29be9c7 100644
|
||||
--- a/dist/internal/index.mjs
|
||||
+++ b/dist/internal/index.mjs
|
||||
@@ -2030,7 +2030,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted && !textStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
reasoningStarted = false;
|
||||
}
|
||||
@@ -2227,7 +2232,12 @@ var OpenRouterChatLanguageModel = class {
|
||||
if (reasoningStarted) {
|
||||
controller.enqueue({
|
||||
type: "reasoning-end",
|
||||
- id: reasoningId || generateId()
|
||||
+ id: reasoningId || generateId(),
|
||||
+ providerMetadata: accumulatedReasoningDetails.length > 0 ? {
|
||||
+ openrouter: {
|
||||
+ reasoning_details: accumulatedReasoningDetails
|
||||
+ }
|
||||
+ } : undefined
|
||||
});
|
||||
}
|
||||
if (textStarted) {
|
||||
Reference in New Issue
Block a user