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autogen/dotnet/samples/dev-team/seed-memory/config/appsettings.template.json

appsettings.template.json 178 B
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Add service to enable github issues workflow (#1) * big bang gitub workflows * add missing settings in local.settings.json * config refactor * fix devlead plan response * swap cosmos to table storage for metadata storage * unify config via options * azd-ify WIP * add qdrant bicep WIP * working azd provision setup * consolidate SK version in projects * replace localhost :) * add fqdn to options * httpclient fixes * add managed identity to the function and assign contrib role * qdrant endpoint setting * add container instances cleanup code + wait on termination to upload to Github * formatting fixes * add tables in bicep * local getting started WIP * add azure setup instructions * add the load-waf bits * docs WIP --------- Co-authored-by: Kosta Petan <Kosta.Petan@microsoft.com>
2 years ago
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change to EP plan on Windows + bux fixes (#2)
2 years ago
Add service to enable github issues workflow (#1) * big bang gitub workflows * add missing settings in local.settings.json * config refactor * fix devlead plan response * swap cosmos to table storage for metadata storage * unify config via options * azd-ify WIP * add qdrant bicep WIP * working azd provision setup * consolidate SK version in projects * replace localhost :) * add fqdn to options * httpclient fixes * add managed identity to the function and assign contrib role * qdrant endpoint setting * add container instances cleanup code + wait on termination to upload to Github * formatting fixes * add tables in bicep * local getting started WIP * add azure setup instructions * add the load-waf bits * docs WIP --------- Co-authored-by: Kosta Petan <Kosta.Petan@microsoft.com>
2 years ago
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  1. {

  2.   "serviceType": "AzureOpenAI",

  3.   "serviceId": "",

  4.   "deploymentOrModelId": "",

  5.   "embeddingDeploymentOrModelId": "",

  6.   "endpoint": "",

  7.   "apiKey": "",

  8.   "qdrantEndpoint": ""

  9. }

This is a mirror of AutoGen from GitHub. AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.