fix: Add other model provider keys as examples, grouped AWS with other OAuth credentials (#670)
* fix: Add other model provider keys as examples * Grouped AWS Access Key env variables * Added llm and embedding provider config onto .env.example --------- Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com>
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1 changed files with 17 additions and 2 deletions
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.env.example
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.env.example
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@ -40,13 +40,28 @@ GOOGLE_OAUTH_CLIENT_SECRET=
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MICROSOFT_GRAPH_OAUTH_CLIENT_ID=
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MICROSOFT_GRAPH_OAUTH_CLIENT_ID=
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MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET=
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MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET=
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# AWS Access Key ID and Secret Access Key with access to your S3 instance
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AWS_ACCESS_KEY_ID=
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AWS_SECRET_ACCESS_KEY=
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# OPTIONAL: dns routable from google (etc.) to handle continous ingest (something like ngrok works). This enables continous ingestion
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# OPTIONAL: dns routable from google (etc.) to handle continous ingest (something like ngrok works). This enables continous ingestion
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WEBHOOK_BASE_URL=
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WEBHOOK_BASE_URL=
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# Model Provider API Keys
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OPENAI_API_KEY=
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OPENAI_API_KEY=
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ANTHROPIC_API_KEY=
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OLLAMA_ENDPOINT=
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WATSONX_API_KEY=
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WATSONX_ENDPOINT=
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WATSONX_PROJECT_ID=
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AWS_ACCESS_KEY_ID=
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# LLM Provider configuration. Providers can be "anthropic", "watsonx", "ibm" or "ollama".
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AWS_SECRET_ACCESS_KEY=
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LLM_PROVIDER=
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LLM_MODEL=
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# Embedding provider configuration. Providers can be "watsonx", "ibm" or "ollama".
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EMBEDDING_PROVIDER=
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EMBEDDING_MODEL=
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# OPTIONAL url for openrag link to langflow in the UI
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# OPTIONAL url for openrag link to langflow in the UI
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LANGFLOW_PUBLIC_URL=
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LANGFLOW_PUBLIC_URL=
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