fix: LLM summarization prompt handles user messages (#6837)

Co-authored-by: Calvin Smith <[email protected]>

openhands/memory/condenser/impl/llm_summarizing_condenser.py

@@ -57,22 +57,29 @@ def condense(self, events: list[Event]) -> list[Event]:
         # Construct prompt for summarization
         prompt = """You are maintaining state history for an LLM-based code agent. Track:
 
+USER_CONTEXT: (Preserve essential user requirements, problem descriptions, and clarifications in concise form)
+
 STATE: {File paths, function signatures, data structures}
 TESTS: {Failing cases, error messages, outputs}
 CHANGES: {Code edits, variable updates}
 DEPS: {Dependencies, imports, external calls}
 INTENT: {Why changes were made, acceptance criteria}
 
-SKIP: {Git clones, build logs}
-SUMMARIZE: {File listings}
-MAX_LENGTH: Keep summaries under 1000 words
+PRIORITIZE:
+1. Capture key user requirements and constraints
+2. Maintain critical problem context
+3. Keep all sections concise
+
+SKIP: {Git clones, build logs, file listings}
 
 Example history format:
+USER_CONTEXT: Fix FITS card float representation - "0.009125" becomes "0.009124999999999999" causing comment truncation. Use Python's str() when possible while maintaining FITS compliance.
+
 STATE: mod_float() in card.py updated
 TESTS: test_format() passed
 CHANGES: str(val) replaces f"{val:.16G}"
 DEPS: None modified
-INTENT: Fix float precision overflow"""
+INTENT: Fix precision while maintaining FITS compliance"""
 
         prompt + '\n\n'