The mesh-openai-consumer-apply container goes with its Dockerfile and build bases. The same entrypoint runs every five minutes as a process on the machine, reading the binding and writing the credentials at the host paths the container used to mount.
60 lines
1.2 KiB
JSON
60 lines
1.2 KiB
JSON
{
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"module": "openai-consumer",
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"version": "1",
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"slug": "openai",
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"capabilities": [
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"container-runtime"
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],
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"requires": [
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"model-access"
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],
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"binds": {
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"model-access": "${dir:state}/model.json"
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},
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"secrets": {
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"model-access": "${dir:state}/api-key"
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},
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"resources": [
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{
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"id": "state",
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"type": "directory",
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"mode": "0700",
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"place": "."
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},
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{
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"id": "config",
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"type": "directory",
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"mode": "0700"
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},
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{
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"id": "apply",
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"type": "process",
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"name": "openai-consumer-apply",
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"artifact": "code",
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"run": [
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"node",
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"apply/index.js"
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],
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"schedule": "*/5 * * * *",
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"env": {
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"MESH_MODEL_ACCESS_SECRET_FILE": "${dir:state}/api-key",
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"MESH_MODEL_ACCESS_BIND_FILE": "${dir:state}/model.json",
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"MESH_OPENAI_ENV_FILE": "${dir:state}/config/openai.env",
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"MESH_OPENAI_CREDENTIALS_FILE": "${dir:state}/config/auth.json"
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}
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}
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],
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"build": {
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"artifacts": [
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{
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"name": "code",
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"kind": "bundle",
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"language": "typescript",
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"entrypoints": [
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"apply/index.js"
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]
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}
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]
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}
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}
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