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https://github.com/openclaw/openclaw.git
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6aa27d6ecd
* refactor(plugin-sdk): retire embedded Pi aliases * refactor(channels): retire explicit target compatibility * refactor(plugins): retire subagent spawning hook * refactor(plugin-sdk): retire shipped channel setup exports * refactor(whatsapp): retire inbound callback aliases Proof: focused build and WhatsApp E2E green; broad WhatsApp suite 188/189 files green. extensions/whatsapp/src/monitor-inbox.policy.test.ts flakes only in the parallel batch and passes isolated (10/10). * refactor(plugin-sdk): retire memory embedding registrar Migrate every bundled provider and manifest to registerEmbeddingProvider and contracts.embeddingProviders. Preserve memory-specific batching, local-service acquisition, index identity, and auto-selection through the canonical generic registry adapter, then remove the parallel registrar, registry, diagnostics, contracts, tests, and docs. * chore(plugin-sdk): tighten retired surface budgets Pin the post-retirement public SDK surface to 144 entrypoints, 4,312 exports, 2,564 callable exports, and 1,133 deprecated exports; agent-harness-runtime now permits exactly nine deprecated exports.
71 lines
1.6 KiB
JSON
71 lines
1.6 KiB
JSON
{
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"id": "lmstudio",
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"icon": "https://cdn.simpleicons.org/lmstudio",
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"activation": {
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"onStartup": false
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},
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"enabledByDefault": true,
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"providers": ["lmstudio"],
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"modelCatalog": {
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"discovery": {
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"lmstudio": "refreshable"
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}
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},
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"providerRequest": {
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"providers": {
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"lmstudio": {
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"family": "lmstudio",
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"openAICompletions": {
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"supportsStreamingUsage": true
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}
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}
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}
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},
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"modelPricing": {
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"providers": {
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"lmstudio": {
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"external": false
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}
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}
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},
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"nonSecretAuthMarkers": ["lmstudio-local"],
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"syntheticAuthRefs": ["lmstudio"],
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"setup": {
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"providers": [
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{
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"id": "lmstudio",
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"envVars": ["LM_API_TOKEN"]
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}
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]
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},
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"providerAuthChoices": [
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{
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"provider": "lmstudio",
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"method": "custom",
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"choiceId": "lmstudio",
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"appGuidedDiscovery": true,
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"appGuidedActionLabel": "Connect server",
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"appGuidedSecret": true,
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"choiceLabel": "LM Studio",
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"choiceHint": "Connect to a running LM Studio server and use an already loaded model",
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"icon": "https://cdn.simpleicons.org/lmstudio",
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"website": "https://lmstudio.ai/download",
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"optionKey": "lmstudioApiKey",
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"cliFlag": "--lmstudio-api-key",
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"cliOption": "--lmstudio-api-key <key>",
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"cliDescription": "LM Studio API key",
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"groupId": "lmstudio",
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"groupLabel": "LM Studio",
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"groupHint": "Self-hosted open-weight models"
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}
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],
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"contracts": {
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"embeddingProviders": ["lmstudio"]
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},
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"configSchema": {
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"type": "object",
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"additionalProperties": false,
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"properties": {}
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}
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}
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