gcp-vertexai-cached-tool-credentials-input
Cached tool definitions can directly embed search API keys, external API keys, OAuth access tokens, or OIDC ID tokens.
Where it sits
| location | aiplatform.projects.locations.cachedContents.create.request.tools[].{exaAiSearch.apiKey,parallelAiSearch.apiKey,retrieval.externalApi.apiAuth.apiKeyConfig.apiKeyString,retrieval.externalApi.authConfig.apiKeyConfig.apiKeyString,retrieval.externalApi.authConfig.oauthConfig.accessToken,retrieval.externalApi.authConfig.oidcConfig.idToken} |
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| location kind | secret_value |
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| data kinds | api_key oauth_token bearer_token credential |
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| emits edge | ContainsCredential |
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| service | Vertex AI / Workbench (gcp:vertexai) |
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Collection recipe
| access mode | write_only_input |
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| operation | aiplatform.projects.locations.cachedContents.create |
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| response path | request.tools[].{exaAiSearch.apiKey,parallelAiSearch.apiKey,retrieval.externalApi.apiAuth.apiKeyConfig.apiKeyString,retrieval.externalApi.authConfig.apiKeyConfig.apiKeyString,retrieval.externalApi.authConfig.oauthConfig.accessToken,retrieval.externalApi.authConfig.oidcConfig.idToken} |
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| encoding | json |
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| params | {"name": "\u003cresource-name\u003e"} |
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Required permissions
aiplatform.cachedContents.create
References