bug: Missing response parsing for N8N Ai Agent Responses

[Psanyi89]

Description

[#8423]

[ What changed? Feel free to be brief. ]
I added a new response model N8nChatResponse so it can be parsed.
I had to extend convertchatmessage so it can handle the different datastruct correctly.

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Checklist

• I've read the contributing guide
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• The relevant tests, if any, have been updated or created

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## Tests

I tested just manual I couldn't find where are you storing example streams for testing

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Summary by cubic

Adds N8N JSON response parsing to Ollama chat streaming so the N8N AI Agent returns proper messages. Also adds support for streaming blocks as separate thinking messages.

• New Features
  • Parse responses with a "type" field and map "content" to assistant messages.
  • Stream content as role "thinking" and stop on , using a simple thinking state to avoid mixed outputs.

[github-actions]

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[cubic-dev-ai]

1 issue found across 1 file

Prompt for AI agents (all 1 issues)

Understand the root cause of the following 1 issues and fix them.


<file name="core/llm/llms/Ollama.ts">

<violation number="1" location="core/llm/llms/Ollama.ts:162">
Storing the thinking state in the static _isThinking flag makes it global across all chat streams, so one request entering a &lt;think&gt; block forces other concurrent streams to emit thinking messages instead of assistant replies. Track the thinking state per stream instead of on the class.</violation>
</file>

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[Psanyi89]

I have read the CLA Document and I hereby sign the CLA

[Psanyi89]

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[Psanyi89]

I have read the CLA Document and I hereby sign the CLA

recheck