Optimize Kyma Agent Prompt to Reduce Length and Redundancy

[tanweersalah]

Description:
The current Kyma Agent system prompt is very lengthy, with several repetitive instructions and outdated constraints. Since we are already using the latest LLMs, many of these detailed guardrails and verbose explanations are unnecessary.

Why:

• The prompt increases token usage unnecessarily.
• Repetitive and overly explicit instructions reduce readability and maintainability.
• Modern LLMs are already capable of following implicit reasoning without overly detailed scaffolding.

Proposal:

• Review the current Kyma Agent prompt for redundancy.
• Remove unnecessary explanations and constraints that are no longer relevant.
• Keep only concise, high-level guidance for the agent (e.g., role, scope, and critical rules).
• Ensure the optimized version is still aligned with the intended functionality and safety requirements.

Acceptance Criteria:

• Prompt is significantly shorter and easier to maintain.
• No critical functionality or safeguards are lost.
• LLM responses remain accurate and aligned with Kyma’s goals.
• Test the commented testcases in tests/integration/agents/kyma/test_kyma_agent_tool_accuracy.py

This should be handled carefully—removing too much could harm reliability. A before/after comparison of the prompt’s performance would be useful to validate improvements.

[mfaizanse]

The tool description do not need to be repeated in the prompt.

[tanweersalah]

After prompt optimization :
Test the commented testcases in
tests/integration/agents/kyma/test_kyma_agent_tool_accuracy.py