conveted to summarization_prompts

python/prompt_bench/compresion_test.py

@@ -24,6 +24,7 @@ import httpx
 import typer
 
 from python.prompt_bench.bill_token_compression import compress_bill_text
+from python.prompt_bench.summarization_prompts import SUMMARIZATION_SYSTEM_PROMPT, SUMMARIZATION_USER_TEMPLATE
 
 logger = logging.getLogger(__name__)
 
@@ -32,40 +33,6 @@ DEFAULT_MODEL = "gpt-5.4-mini"
 DEFAULT_COUNT = 100
 SEED = 42
 
-SYSTEM_PROMPT = """You are a legislative analyst extracting policy substance from Congressional bill text.
-
-Your job is to compress a bill into a dense, neutral structured summary that captures every distinct policy action — including secondary effects that might be buried in subsections.
-
-EXTRACTION RULES:
-- IGNORE: whereas clauses, congressional findings that are purely political statements, recitals, preambles, citations of existing law by number alone, and procedural boilerplate.
-- FOCUS ON: operative verbs — what the bill SHALL do, PROHIBIT, REQUIRE, AUTHORIZE, AMEND, APPROPRIATE, or ESTABLISH.
-- SURFACE ALL THREADS: If the bill touches multiple policy areas, list each thread separately. Do not collapse them.
-- BE CONCRETE: Name the affected population, the mechanism, and the direction (expands/restricts/maintains).
-- STAY NEUTRAL: No political framing. Describe what the text does, not what its sponsors claim it does.
-
-OUTPUT FORMAT — plain structured text, not JSON:
-
-OPERATIVE ACTIONS:
-[Numbered list of what the bill actually does, one action per line, max 20 words each]
-
-AFFECTED POPULATIONS:
-[Who gains something, who loses something, or whose behavior is regulated]
-
-MECHANISMS:
-[How it works: new funding, mandate, prohibition, amendment to existing statute, grant program, study commission, etc.]
-
-POLICY THREADS:
-[List each distinct policy domain this bill touches, even minor ones. Use plain language, not domain codes.]
-
-SYMBOLIC/PROCEDURAL ONLY:
-[Yes or No — is this bill primarily a resolution, designation, or awareness declaration with no operative effect?]
-
-LENGTH TARGET: 150-250 words total. Be ruthless about cutting. Density over completeness."""
-
-USER_TEMPLATE = """Summarize the following Congressional bill according to your instructions.
-
-BILL TEXT:
-{text_content}"""
 
 
 def load_bills(csv_path: Path, count: int) -> list[tuple[str, str]]:
@@ -90,8 +57,8 @@ def load_bills(csv_path: Path, count: int) -> list[tuple[str, str]]:
 def build_messages(bill_text: str) -> list[dict]:
     """Return the system + user message pair for a bill."""
     return [
-        {"role": "system", "content": SYSTEM_PROMPT},
-        {"role": "user", "content": USER_TEMPLATE.format(text_content=bill_text)},
+        {"role": "system", "content": SUMMARIZATION_SYSTEM_PROMPT},
+        {"role": "user", "content": SUMMARIZATION_USER_TEMPLATE.format(text_content=bill_text)},
     ]