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https://issues.apache.org/jira/browse/HDDS-15570?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Arafat Khan reassigned HDDS-15570:
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Assignee: Arafat Khan
> [Recon-Chatbot] Call Recon methods directly instead of using HTTP-calls
> -----------------------------------------------------------------------
>
> Key: HDDS-15570
> URL: https://issues.apache.org/jira/browse/HDDS-15570
> Project: Apache Ozone
> Issue Type: Sub-task
> Components: Ozone Recon
> Reporter: Arafat Khan
> Assignee: Arafat Khan
> Priority: Major
>
> h2. Problem
> The Recon chatbot runs inside the same JVM as Recon. Making HTTP calls to
> Recon APIs from there adds extra work: building URLs, parsing responses, and
> duplicating logic that Recon already has in code.
> h2. Proposal
> Since the chatbot and Recon share the same process, the chatbot should call
> Recon methods directly when it needs cluster data the same way Recon’s own
> code would instead of going out over HTTP and back in.
> Use LangChain’s native tool-calling support so the LLM picks from a fixed
> list of allowed tools (for example “get datanodes”, “list keys in a bucket”).
> The chatbot then maps each tool name to the right Recon method and runs it
> directly.
> h2. Why this helps
> * Faster and simpler - no HTTP round trip inside the same server
> * Fewer moving parts - less parsing, less error handling for network failures
> * Clearer contract - the LLM chooses a tool; Java runs the matching Recon
> logic
> * Fits LangChain’s model - tool definitions, tool selection, and tool
> execution in one flow
> h2. What stays the same
> * Users still ask questions in natural language
> * Safety rules still apply (allowed tools only, record limits, scoped
> queries where needed)
> * The public Recon REST API for the UI is unchanged
> h2. Done when
> * Chatbot fetches Recon data via direct method calls, not HTTP to itself
> * LLM tool selection uses LangChain native tools end to end
> * Existing safety and limits still work
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