# Backport This will backport the following commits from `main` to `8.x`: - [[Connectors][GenAI] Inference Service Kibana connector (#189027)](https://github.com/elastic/kibana/pull/189027) <!--- Backport version: 9.4.3 --> ### Questions ? Please refer to the [Backport tool documentation](https://github.com/sqren/backport) <!--BACKPORT [{"author":{"name":"Yuliia Naumenko","email":"jo.naumenko@gmail.com"},"sourceCommit":{"committedDate":"2024-10-13T20:39:09Z","message":"[Connectors][GenAI] Inference Service Kibana connector (#189027)\n\n## Summary\r\nResolves https://github.com/elastic/kibana/issues/188043\r\n\r\nThis PR adds new connector which is define integration with Elastic\r\nInference Endpoint via [Inference\r\nAPIs](https://www.elastic.co/guide/en/elasticsearch/reference/current/inference-apis.html)\r\nThe lifecycle of the Inference Endpoint are managed by the connector\r\nregistered handlers:\r\n\r\n- `preSaveHook` -\r\n[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nnew Inference Endpoint in the connector create mode (`isEdit === false`)\r\nand\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)+[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nin the connector edit mode (`isEdit === true`)\r\n- `postSaveHook` - check if the connector SO was created/updated and if\r\nnot removes Inference Endpoint from preSaveHook\r\n- `postDeleteHook` -\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)\r\nInference Endpoint if connector was deleted.\r\n\r\nIn the Kibana Stack Management Connectors, its represented with the new\r\ncard (Technical preview badge):\r\n\r\n<img width=\"1261\" alt=\"Screenshot 2024-09-27 at 2 11 12 PM\"\r\nsrc=\"https://github.com/user-attachments/assets/dcbcce1f-06e7-4d08-8b77-0ba4105354f8\">\r\n\r\nTo simplify the future integration with AI Assistants, the Connector\r\nconsists from the two main UI parts: provider selector and required\r\nprovider settings, which will be always displayed\r\n<img width=\"862\" alt=\"Screenshot 2024-10-07 at 7 59 09 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/87bae493-c642-479e-b28f-6150354608dd\">\r\n\r\nand Additional options, which contains optional provider settings and\r\nTask Type configuration:\r\n\r\n<img width=\"861\" alt=\"Screenshot 2024-10-07 at 8 00 15 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/2341c034-6198-4731-8ce7-e22e6c6fb20f\">\r\n\r\n\r\nsubActions corresponds to the different taskTypes Inference API\r\nsupports. Each of the task type has its own Inference Perform params.\r\nCurrently added:\r\n\r\n- completion & completionStream\r\n- rerank\r\n- text_embedding\r\n- sparse_embedding\r\n\r\nFollow up work:\r\n\r\n1. Collapse/expand Additional options, when the connector flyout/modal\r\nhas AI Assistant as a context (path through the extending context\r\nimplementation on the connector framework level)\r\n2. Add support for additional params for Completion subAction to be able\r\nto path functions\r\n3. Add support for tokens usage Dashboard, when inference API will\r\ninclude the used tokens count in the response\r\n4. Add functionality and UX for migration from existing specific AI\r\nconnectors to the Inference connector with proper provider and\r\ncompletion task\r\n5. Integrate Connector with the AI Assistants\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>\r\nCo-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>\r\nCo-authored-by: Steph Milovic <stephanie.milovic@elastic.co>","sha":"288d41d61ec2389b2e8856da75fd0f3107f9c484","branchLabelMapping":{"^v9.0.0$":"main","^v8.16.0$":"8.x","^v(\\d+).(\\d+).\\d+$":"$1.$2"}},"sourcePullRequest":{"labels":["v9.0.0","release_note:feature","Feature:Actions/ConnectorTypes","8.16 candidate","v8.16.0","backport:version"],"title":"[Connectors][GenAI] Inference Service Kibana connector","number":189027,"url":"https://github.com/elastic/kibana/pull/189027","mergeCommit":{"message":"[Connectors][GenAI] Inference Service Kibana connector (#189027)\n\n## Summary\r\nResolves https://github.com/elastic/kibana/issues/188043\r\n\r\nThis PR adds new connector which is define integration with Elastic\r\nInference Endpoint via [Inference\r\nAPIs](https://www.elastic.co/guide/en/elasticsearch/reference/current/inference-apis.html)\r\nThe lifecycle of the Inference Endpoint are managed by the connector\r\nregistered handlers:\r\n\r\n- `preSaveHook` -\r\n[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nnew Inference Endpoint in the connector create mode (`isEdit === false`)\r\nand\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)+[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nin the connector edit mode (`isEdit === true`)\r\n- `postSaveHook` - check if the connector SO was created/updated and if\r\nnot removes Inference Endpoint from preSaveHook\r\n- `postDeleteHook` -\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)\r\nInference Endpoint if connector was deleted.\r\n\r\nIn the Kibana Stack Management Connectors, its represented with the new\r\ncard (Technical preview badge):\r\n\r\n<img width=\"1261\" alt=\"Screenshot 2024-09-27 at 2 11 12 PM\"\r\nsrc=\"https://github.com/user-attachments/assets/dcbcce1f-06e7-4d08-8b77-0ba4105354f8\">\r\n\r\nTo simplify the future integration with AI Assistants, the Connector\r\nconsists from the two main UI parts: provider selector and required\r\nprovider settings, which will be always displayed\r\n<img width=\"862\" alt=\"Screenshot 2024-10-07 at 7 59 09 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/87bae493-c642-479e-b28f-6150354608dd\">\r\n\r\nand Additional options, which contains optional provider settings and\r\nTask Type configuration:\r\n\r\n<img width=\"861\" alt=\"Screenshot 2024-10-07 at 8 00 15 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/2341c034-6198-4731-8ce7-e22e6c6fb20f\">\r\n\r\n\r\nsubActions corresponds to the different taskTypes Inference API\r\nsupports. Each of the task type has its own Inference Perform params.\r\nCurrently added:\r\n\r\n- completion & completionStream\r\n- rerank\r\n- text_embedding\r\n- sparse_embedding\r\n\r\nFollow up work:\r\n\r\n1. Collapse/expand Additional options, when the connector flyout/modal\r\nhas AI Assistant as a context (path through the extending context\r\nimplementation on the connector framework level)\r\n2. Add support for additional params for Completion subAction to be able\r\nto path functions\r\n3. Add support for tokens usage Dashboard, when inference API will\r\ninclude the used tokens count in the response\r\n4. Add functionality and UX for migration from existing specific AI\r\nconnectors to the Inference connector with proper provider and\r\ncompletion task\r\n5. Integrate Connector with the AI Assistants\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>\r\nCo-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>\r\nCo-authored-by: Steph Milovic <stephanie.milovic@elastic.co>","sha":"288d41d61ec2389b2e8856da75fd0f3107f9c484"}},"sourceBranch":"main","suggestedTargetBranches":["8.x"],"targetPullRequestStates":[{"branch":"main","label":"v9.0.0","branchLabelMappingKey":"^v9.0.0$","isSourceBranch":true,"state":"MERGED","url":"https://github.com/elastic/kibana/pull/189027","number":189027,"mergeCommit":{"message":"[Connectors][GenAI] Inference Service Kibana connector (#189027)\n\n## Summary\r\nResolves https://github.com/elastic/kibana/issues/188043\r\n\r\nThis PR adds new connector which is define integration with Elastic\r\nInference Endpoint via [Inference\r\nAPIs](https://www.elastic.co/guide/en/elasticsearch/reference/current/inference-apis.html)\r\nThe lifecycle of the Inference Endpoint are managed by the connector\r\nregistered handlers:\r\n\r\n- `preSaveHook` -\r\n[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nnew Inference Endpoint in the connector create mode (`isEdit === false`)\r\nand\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)+[create](https://www.elastic.co/guide/en/elasticsearch/reference/current/put-inference-api.html)\r\nin the connector edit mode (`isEdit === true`)\r\n- `postSaveHook` - check if the connector SO was created/updated and if\r\nnot removes Inference Endpoint from preSaveHook\r\n- `postDeleteHook` -\r\n[delete](https://www.elastic.co/guide/en/elasticsearch/reference/current/delete-inference-api.html)\r\nInference Endpoint if connector was deleted.\r\n\r\nIn the Kibana Stack Management Connectors, its represented with the new\r\ncard (Technical preview badge):\r\n\r\n<img width=\"1261\" alt=\"Screenshot 2024-09-27 at 2 11 12 PM\"\r\nsrc=\"https://github.com/user-attachments/assets/dcbcce1f-06e7-4d08-8b77-0ba4105354f8\">\r\n\r\nTo simplify the future integration with AI Assistants, the Connector\r\nconsists from the two main UI parts: provider selector and required\r\nprovider settings, which will be always displayed\r\n<img width=\"862\" alt=\"Screenshot 2024-10-07 at 7 59 09 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/87bae493-c642-479e-b28f-6150354608dd\">\r\n\r\nand Additional options, which contains optional provider settings and\r\nTask Type configuration:\r\n\r\n<img width=\"861\" alt=\"Screenshot 2024-10-07 at 8 00 15 AM\"\r\nsrc=\"https://github.com/user-attachments/assets/2341c034-6198-4731-8ce7-e22e6c6fb20f\">\r\n\r\n\r\nsubActions corresponds to the different taskTypes Inference API\r\nsupports. Each of the task type has its own Inference Perform params.\r\nCurrently added:\r\n\r\n- completion & completionStream\r\n- rerank\r\n- text_embedding\r\n- sparse_embedding\r\n\r\nFollow up work:\r\n\r\n1. Collapse/expand Additional options, when the connector flyout/modal\r\nhas AI Assistant as a context (path through the extending context\r\nimplementation on the connector framework level)\r\n2. Add support for additional params for Completion subAction to be able\r\nto path functions\r\n3. Add support for tokens usage Dashboard, when inference API will\r\ninclude the used tokens count in the response\r\n4. Add functionality and UX for migration from existing specific AI\r\nconnectors to the Inference connector with proper provider and\r\ncompletion task\r\n5. Integrate Connector with the AI Assistants\r\n\r\n---------\r\n\r\nCo-authored-by: kibanamachine <42973632+kibanamachine@users.noreply.github.com>\r\nCo-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>\r\nCo-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>\r\nCo-authored-by: Steph Milovic <stephanie.milovic@elastic.co>","sha":"288d41d61ec2389b2e8856da75fd0f3107f9c484"}},{"branch":"8.x","label":"v8.16.0","branchLabelMappingKey":"^v8.16.0$","isSourceBranch":false,"state":"NOT_CREATED"}]}] BACKPORT--> Co-authored-by: Yuliia Naumenko <jo.naumenko@gmail.com> |
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Kibana
Kibana is your window into the Elastic Stack. Specifically, it's a browser-based analytics and search dashboard for Elasticsearch.
- Getting Started
- Documentation
- Version Compatibility with Elasticsearch
- Questions? Problems? Suggestions?
Getting Started
If you just want to try Kibana out, check out the Elastic Stack Getting Started Page to give it a whirl.
If you're interested in diving a bit deeper and getting a taste of Kibana's capabilities, head over to the Kibana Getting Started Page.
Using a Kibana Release
If you want to use a Kibana release in production, give it a test run, or just play around:
- Download the latest version on the Kibana Download Page.
- Learn more about Kibana's features and capabilities on the Kibana Product Page.
- We also offer a hosted version of Kibana on our Cloud Service.
Building and Running Kibana, and/or Contributing Code
You might want to build Kibana locally to contribute some code, test out the latest features, or try out an open PR:
- CONTRIBUTING.md will help you get Kibana up and running.
- If you would like to contribute code, please follow our STYLEGUIDE.mdx.
- For all other questions, check out the FAQ.md and wiki.
Documentation
Visit Elastic.co for the full Kibana documentation.
For information about building the documentation, see the README in elastic/docs.
Version Compatibility with Elasticsearch
Ideally, you should be running Elasticsearch and Kibana with matching version numbers. If your Elasticsearch has an older version number or a newer major number than Kibana, then Kibana will fail to run. If Elasticsearch has a newer minor or patch number than Kibana, then the Kibana Server will log a warning.
Note: The version numbers below are only examples, meant to illustrate the relationships between different types of version numbers.
Situation | Example Kibana version | Example ES version | Outcome |
---|---|---|---|
Versions are the same. | 7.15.1 | 7.15.1 | 💚 OK |
ES patch number is newer. | 7.15.0 | 7.15.1 | ⚠️ Logged warning |
ES minor number is newer. | 7.14.2 | 7.15.0 | ⚠️ Logged warning |
ES major number is newer. | 7.15.1 | 8.0.0 | 🚫 Fatal error |
ES patch number is older. | 7.15.1 | 7.15.0 | ⚠️ Logged warning |
ES minor number is older. | 7.15.1 | 7.14.2 | 🚫 Fatal error |
ES major number is older. | 8.0.0 | 7.15.1 | 🚫 Fatal error |
Questions? Problems? Suggestions?
- If you've found a bug or want to request a feature, please create a GitHub Issue. Please check to make sure someone else hasn't already created an issue for the same topic.
- Need help using Kibana? Ask away on our Kibana Discuss Forum and a fellow community member or Elastic engineer will be glad to help you out.