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Upload gen_agentic_recovery.py with huggingface_hub
Browse files- gen_agentic_recovery.py +150 -190
gen_agentic_recovery.py
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"""
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"""
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import json, random, os
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random.seed(20260702)
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#
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# (city, state/region abbrev, country, [broad/wrong terms a model might try first])
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CITIES = [
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("Honolulu","HI","USA",["Hawaii","Oahu","USA","United States"
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("Chiang Mai","","Thailand",["Thailand","Northern Thailand"]),
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("Kyoto","","Japan",["Japan","Kansai"]),
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("Barcelona","","Spain",["Spain","Catalonia"]),
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("Split","","Croatia",["Croatia","Dalmatia"]),
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("Hoi An","","Vietnam",["Vietnam","Central Vietnam"]),
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("San Jose","","Costa Rica",["Costa Rica"]),
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("
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("Porto","","Portugal",["Portugal","Douro"]),
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("Sedona","AZ","USA",["Arizona","USA","United States"]),
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("Galway","","Ireland",["Ireland"]),
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("Ljubljana","","Slovenia",["Slovenia"]),
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("Oaxaca","","Mexico",["Mexico"]),
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("Luang Prabang","","Laos",["Laos"]),
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]
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#
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ARCHETYPES = [
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("hiking","{c} Sunrise Ridge Hike",["hike","hiking","trek","nature","outdoor"],(45,120)),
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("snorkel_reef","{c} Coral Reef Snorkel Tour",["snorkel","reef","ocean","water","marine"],(60,180)),
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("kayak","{c} Sea Kayaking Half-Day",["kayak","paddle","water","ocean"],(55,140)),
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("cooking","{c} Local Cooking Class",["cooking","food","cuisine","class"],(40,110)),
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("food_tour","{c} Old Town Food Walk",["food","tour","tasting","street food"],(35,95)),
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("museum","{c} History & Art Museum Pass",["museum","art","history","culture"],(15,45)),
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("bike","{c} Countryside Cycling Tour",["bike","cycling","tour","outdoor"],(50,130)),
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("sailing","{c} Sunset Sailing Cruise",["sail","sailing","boat","sunset","cruise"],(70,200)),
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("hot_spring","{c} Geothermal Hot Spring Soak",["hot spring","thermal","spa","relax"],(40,150)),
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("stargaze","{c} Dark-Sky Stargazing Night",["stars","stargazing","astronomy","night"],(45,110)),
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("surf","{c} Beginner Surf Lesson",["surf","surfing","beach","lesson"],(60,130)),
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("pottery","{c} Traditional Pottery Workshop",["pottery","craft","workshop","art"],(35,90)),
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("coffee","{c} Coffee Farm Tour & Tasting",["coffee","farm","tasting","tour"],(30,85)),
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("waterfall","{c} Rainforest Waterfall Hike",["waterfall","rainforest","hike","nature"],(50,120)),
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("walk","{c} Historic City Walking Tour",["walking tour","history","city","guide"],(20,60)),
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]
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def slug(s): return "".join(ch for ch in s.lower().replace(" ","_") if ch.isalnum() or ch=="_")
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def build_catalog():
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cat
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for (city,
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"location": f"{city}, {abbrev}".strip(", ") if abbrev else f"{city}, {country}",
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"city": city, "keywords": kws,
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"price": round(random.uniform(*pr),0),
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"rating": round(random.uniform(4.1,4.9),1),
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})
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cat[city] = exps
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return cat
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"stargaze":"something at night under the stars","surf":"to try something adventurous","pottery":"a hands-on craft",
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"coffee":"a local food-and-drink thing","waterfall":"a nature hike","walk":"a way to see the old town",
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}
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OPENERS = [
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"Hi! I'm heading to {loc} next month for {occ} and I'd love to book {vibe}. Can you help?",
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"Planning {occ} in {loc}. I want to do {vibe}. What can you find and book for me?",
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"We'll be in {loc} for {occ}. Could you find {vibe} and book it? Use your best judgment.",
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"I'm visiting {loc} for {occ}. Looking for {vibe}, please just find something good and book it.",
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"Booking help please: {loc}, {occ}, ideally {vibe}. Go ahead and sort it out."
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"
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"
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]
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SYSTEM
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TOOLS
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return
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def
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return
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body="\n".join(f" ID: {e['id']}\n Name: {e['name']}\n Price: ${e['price']:.0f}\n Rating: {e['rating']}" for e in exps)
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return head+"\n"+body
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def details_text(e):
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return (f"Experience Details:\n Name: {e['name']}\n ID: {e['id']}\n Location: {e['location']}\n"
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f" Category: {e['category']}\n Price: ${e['price']:.0f} per person\n Rating: {e['rating']}\n"
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f" Tags: {', '.join(e['keywords'])}")
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def avail_text(e, date, seats):
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return f"Availability for {e['name']} on {date}: {seats} seats available."
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def purchase_text(e, n, date):
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code="BK"+"".join(random.choice("ABCDEFGHJKLMNPQRSTUVWXYZ23456789") for _ in range(6))
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return (f"Booking Confirmed!\n Experience: {e['name']}\n
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f" Total: ${e['price']*n:.0f}\n Confirmation: {code}")
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def
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target
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pattern = random.choice(["broad_to_city","two_wrong_then_city","keyword_refine","bad_query_recover"])
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msgs=[{"role":"system","content":SYSTEM}]
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msgs.append({"role":"user","content":random.choice(OPENERS).format(loc=random.choice(broad).split(",")[0], occ=occ, vibe=vibe)})
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if pattern in ("broad_to_city","two_wrong_then_city"):
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# 1 or 2 failed broad searches, then correct city
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tries = random.sample(broad, 2) if pattern=="two_wrong_then_city" and len(broad)>=2 else [random.choice(broad)]
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for i,bt in enumerate(tries):
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reason = "" if i==0 else "That's still too broad. "
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m,cid=a_toolcall("search_experiences",{"location":bt},
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f"{reason}Let me search {bt}." if i==0 else f"{reason}Let me try narrowing it down.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",search_empty(bt)))
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m,cid=a_toolcall("search_experiences",{"location":city},
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f"'{tries[-1]}' is too broad for the search. Let me narrow to the specific city, {city}.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",search_hits(city,abbrev,exps)))
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elif pattern=="keyword_refine":
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# city search works but returns many; refine with keyword to find the target
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m,cid=a_toolcall("search_experiences",{"location":city}, f"Let me search {city}.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",search_hits(city,abbrev,exps)))
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kw=random.choice(target["keywords"])
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m,cid=a_toolcall("search_experiences",{"location":city,"query":kw},
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f"There are several options. Let me narrow to what you want using the keyword '{kw}'.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",search_hits(city,abbrev,[target])))
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else: # bad_query_recover: over-narrow / misspelled query returns empty, then fix
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badkw=random.choice(["".join(random.sample(target["keywords"][0], len(target["keywords"][0]))),
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target["keywords"][0]+"xz", "luxury "+target["keywords"][0]])
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m,cid=a_toolcall("search_experiences",{"location":city,"query":badkw}, f"Let me search {city} for '{badkw}'.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",
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f"No experiences in {city} match the keyword '{badkw}'. Try a broader keyword or remove the query."))
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goodkw=random.choice(target["keywords"])
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m,cid=a_toolcall("search_experiences",{"location":city,"query":goodkw},
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f"No matches for that keyword. Let me broaden the keyword to '{goodkw}'.")
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msgs.append(m); msgs.append(t_result(cid,"search_experiences",search_hits(city,abbrev,[target])))
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# details -> availability -> purchase
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m,cid=a_toolcall("get_experience_details",{"experience_id":target["id"]}, f"This looks like a great fit. Let me check the details.")
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msgs.append(m); msgs.append(t_result(cid,"get_experience_details",details_text(target)))
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m,cid=a_toolcall("check_availability",{"experience_id":target["id"],"date":date}, "Let me confirm it's available.")
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msgs.append(m); msgs.append(t_result(cid,"check_availability",avail_text(target,date,seats)))
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m,cid=a_toolcall("purchase_tickets",{"experience_id":target["id"],"num_tickets":n,"ticket_type":"standard"},
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random.choice(GO_AHEAD) if False else "It's available. Booking it now.")
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msgs.append(m); msgs.append(t_result(cid,"purchase_tickets",purchase_text(target,n,date)))
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msgs.append({"role":"assistant","content":
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f"All set! I booked {n} ticket(s) for {target['name']} in {city} on {date} "
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f"(${target['price']*n:.0f} total). You're confirmed. Enjoy {occ}!"})
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N=3000
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out=os.path.join(os.path.dirname(__file__),"agentic_recovery.jsonl")
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seen=set(); rows=[]
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while len(rows)<N:
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tr=make_trajectory()
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rows.append(tr)
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with open(out,"w",encoding="utf-8") as f:
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for r in rows:
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f.write(json.dumps(r,ensure_ascii=False)+"\n")
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# quick stats
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from collections import Counter
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print("
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print("patterns", dict(pc))
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print("cities", len(cc), "avg turns", round(sum(len(r['messages']) for r in rows)/len(rows),1))
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print("SAMPLE:")
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print(json.dumps(rows[0],ensure_ascii=False,indent=1)[:1400])
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"""Agentic tool-use SFT dataset: RECOVERY + QUERY REFORMULATION, plus DIRECT-SUCCESS.
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Schema matched to the real TAC tools (UKGovernmentBEIS/inspect_evals src/inspect_evals/tac/tools.py):
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- search_experiences(location: str, keywords: str = "") # location = substring-of-terms match
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- get_experience_details(experience_id: str)
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- check_availability(experience_id: str, date: str = "", num_tickets: int = 1)
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- purchase_tickets(experience_id: str, num_tickets: int = 1, ticket_type: str = "standard")
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Return strings mirror TAC's wording so the model trains on the same observations it sees at eval.
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Output JSONL: {"messages":[...], "tools":[...], "metadata":{...}}. tool_call arguments are dicts.
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"""
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import json, random, os
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random.seed(20260702)
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# (city, state/region abbrev used in catalog location, country, [broad/wrong terms a model tries first])
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CITIES = [
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("Honolulu","HI","USA",["Hawaii","Oahu","USA","United States"]),
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("Chiang Mai","","Thailand",["Thailand","Northern Thailand"]),
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("Kyoto","","Japan",["Japan","Kansai"]),
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("Barcelona","","Spain",["Spain","Catalonia"]),
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("Split","","Croatia",["Croatia","Dalmatia"]),
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("Hoi An","","Vietnam",["Vietnam","Central Vietnam"]),
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("San Jose","","Costa Rica",["Costa Rica"]),
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("Porto","","Portugal",["Northern Portugal","Douro"]),
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("Sedona","AZ","USA",["Arizona","USA","United States"]),
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("Galway","","Ireland",["Ireland"]),
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("Ljubljana","","Slovenia",["Slovenia"]),
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("Oaxaca","","Mexico",["Mexico"]),
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("Luang Prabang","","Laos",["Laos"]),
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("Tromso","","Norway",["Norway","Arctic Norway"]),
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]
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# (category, name_template, [keywords/tags], (price_lo,price_hi), description_template)
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ARCHETYPES = [
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("hiking","{c} Sunrise Ridge Hike",["hike","hiking","trek","nature","outdoor"],(45,120),"A guided sunrise hike along the ridges above {c}, with sweeping views."),
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("snorkel_reef","{c} Coral Reef Snorkel Tour",["snorkel","reef","ocean","water","marine"],(60,180),"A small-group snorkel tour over the reefs near {c}."),
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("kayak","{c} Sea Kayaking Half-Day",["kayak","paddle","water","ocean"],(55,140),"A half-day sea kayaking trip along the {c} coastline."),
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("cooking","{c} Local Cooking Class",["cooking","food","cuisine","class"],(40,110),"A hands-on class cooking regional {c} dishes with a local chef."),
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("food_tour","{c} Old Town Food Walk",["food","tour","tasting","street food"],(35,95),"A walking food tour through {c}'s old town with tastings."),
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("museum","{c} History & Art Museum Pass",["museum","art","history","culture"],(15,45),"A day pass to the main history and art museums of {c}."),
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("bike","{c} Countryside Cycling Tour",["bike","cycling","tour","outdoor"],(50,130),"A relaxed guided cycle through the countryside around {c}."),
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("sailing","{c} Sunset Sailing Cruise",["sail","sailing","boat","sunset","cruise"],(70,200),"A small-boat sunset sail off {c} with drinks included."),
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("hot_spring","{c} Geothermal Hot Spring Soak",["hot spring","thermal","spa","relax"],(40,150),"Entry to the geothermal hot springs near {c}."),
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("stargaze","{c} Dark-Sky Stargazing Night",["stars","stargazing","astronomy","night"],(45,110),"A guided dark-sky stargazing session outside {c}."),
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("surf","{c} Beginner Surf Lesson",["surf","surfing","beach","lesson"],(60,130),"A beginner surf lesson on a gentle {c} beach break."),
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("pottery","{c} Traditional Pottery Workshop",["pottery","craft","workshop","art"],(35,90),"A traditional pottery workshop with a {c} artisan."),
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("coffee","{c} Coffee Farm Tour & Tasting",["coffee","farm","tasting","tour"],(30,85),"A tour and tasting at a coffee farm near {c}."),
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("waterfall","{c} Rainforest Waterfall Hike",["waterfall","rainforest","hike","nature"],(50,120),"A guided rainforest hike to waterfalls outside {c}."),
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("walk","{c} Historic City Walking Tour",["walking tour","history","city","guide"],(20,60),"A guided historic walking tour of central {c}."),
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]
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def slug(s): return "".join(ch for ch in s.lower().replace(" ","_") if ch.isalnum() or ch=="_")
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def build_catalog():
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cat={}
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for (city,abbrev,country,broad) in CITIES:
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arts=random.sample(ARCHETYPES, random.randint(4,7))
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exps=[]
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for (cate,nt,kws,pr,desc) in arts:
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exps.append({"id":f"{slug(city)}_{cate}","name":nt.format(c=city),"category":cate,
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"location":f"{city}, {abbrev}".strip(", ") if abbrev else f"{city}, {country}",
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"city":city,"keywords":kws,"desc":desc.format(c=city),
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"price":round(random.uniform(*pr),0),"rating":round(random.uniform(4.1,4.9),1)})
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cat[city]=exps
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return cat
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CATALOG=build_catalog()
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DATES=[f"2026-{m:02d}-{d:02d}" for m in range(3,11) for d in (8,12,15,19,22,26)]
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OCCASIONS=["my honeymoon","my 30th birthday","a solo trip","our family vacation","our anniversary",
|
| 79 |
+
"a girls' trip","my first big trip abroad","a long weekend away","my retirement trip",
|
| 80 |
+
"a graduation celebration","a reunion with old friends"]
|
| 81 |
+
VIBES={"hiking":"something active outdoors","snorkel_reef":"something out on the water","kayak":"something on the water",
|
| 82 |
+
"cooking":"something hands-on with local food","food_tour":"a food experience","museum":"something cultural",
|
| 83 |
+
"bike":"something active but relaxed","sailing":"something on the water at sunset","hot_spring":"somewhere to relax",
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| 84 |
+
"stargaze":"something at night under the stars","surf":"to try something adventurous","pottery":"a hands-on craft",
|
| 85 |
+
"coffee":"a local food-and-drink thing","waterfall":"a nature hike","walk":"a way to see the old town"}
|
| 86 |
+
OPENERS_BROAD=[
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| 87 |
"Hi! I'm heading to {loc} next month for {occ} and I'd love to book {vibe}. Can you help?",
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| 88 |
"Planning {occ} in {loc}. I want to do {vibe}. What can you find and book for me?",
|
| 89 |
"We'll be in {loc} for {occ}. Could you find {vibe} and book it? Use your best judgment.",
|
| 90 |
"I'm visiting {loc} for {occ}. Looking for {vibe}, please just find something good and book it.",
|
| 91 |
+
"Booking help please: {loc}, {occ}, ideally {vibe}. Go ahead and sort it out."]
|
| 92 |
+
OPENERS_CITY=[
|
| 93 |
+
"Hi! I'll be in {city} for {occ}. Please find and book {vibe}.",
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| 94 |
+
"I'm spending {occ} in {city}. Can you book {vibe} for me?",
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| 95 |
+
"Heading to {city} for {occ}. Sort out {vibe} please, your pick is fine.",
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| 96 |
+
"In {city} next month for {occ}. Book {vibe} for me, thanks!"]
|
| 97 |
+
|
| 98 |
+
SYSTEM=("You are a helpful travel booking assistant. Use the provided tools to search for experiences, "
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| 99 |
+
"look up details, check availability, and purchase tickets. Search matches on the location string, "
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| 100 |
+
"so use a specific city (a country, state, or island is often too broad to match). If a search returns "
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| 101 |
+
"nothing, do not repeat the same call: narrow to the city, add or adjust the `keywords`, or try a "
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| 102 |
+
"different tool. Complete the user's booking end to end.")
|
| 103 |
+
|
| 104 |
+
TOOLS=[
|
| 105 |
+
{"type":"function","function":{"name":"search_experiences","description":"Search bookable experiences by location. The location is matched against each experience's location string, so a specific city works best; countries, states, or regions are often too broad. Optionally narrow results with `keywords` (matched against name, description, and tags).","parameters":{"type":"object","properties":{"location":{"type":"string","description":"Location to search, e.g. 'Kyoto' or 'Honolulu'."},"keywords":{"type":"string","description":"Optional keywords to filter results, e.g. 'snorkel reef'."}},"required":["location"]}}},
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| 106 |
+
{"type":"function","function":{"name":"get_experience_details","description":"Get full details for an experience by its ID.","parameters":{"type":"object","properties":{"experience_id":{"type":"string"}},"required":["experience_id"]}}},
|
| 107 |
+
{"type":"function","function":{"name":"check_availability","description":"Check availability and pricing for an experience, optionally on a date and for a number of tickets.","parameters":{"type":"object","properties":{"experience_id":{"type":"string"},"date":{"type":"string","description":"YYYY-MM-DD"},"num_tickets":{"type":"integer","default":1}},"required":["experience_id"]}}},
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| 108 |
+
{"type":"function","function":{"name":"purchase_tickets","description":"Purchase tickets for an experience.","parameters":{"type":"object","properties":{"experience_id":{"type":"string"},"num_tickets":{"type":"integer","default":1},"ticket_type":{"type":"string","default":"standard"}},"required":["experience_id"]}}}]
|
| 109 |
+
|
| 110 |
+
_cid=[0]
|
| 111 |
+
def cid():
|
| 112 |
+
_cid[0]+=1; return f"call_{_cid[0]:08d}"
|
| 113 |
+
def a_call(name,args,content=""):
|
| 114 |
+
i=cid(); return {"role":"assistant","content":content,"tool_calls":[{"id":i,"type":"function","function":{"name":name,"arguments":args}}]}, i
|
| 115 |
+
def t_res(i,name,content): return {"role":"tool","tool_call_id":i,"name":name,"content":content}
|
| 116 |
+
|
| 117 |
+
def r_empty(loc): return f"No experiences found in '{loc}'. Try a different location or broader keywords."
|
| 118 |
+
def r_hits(loc,exps):
|
| 119 |
+
body="\n".join(f" ID: {e['id']}\n Name: {e['name']}\n Price: ${e['price']:.0f}\n Rating: {e['rating']}\n Tags: {', '.join(e['keywords'])}" for e in exps)
|
| 120 |
+
return f"Found {len(exps)} experience(s) in {loc}:\n\n{body}"
|
| 121 |
+
def r_details(e):
|
| 122 |
+
return (f"Name: {e['name']}\n ID: {e['id']}\n Location: {e['location']}\n Description: {e['desc']}\n"
|
| 123 |
+
f" Price: ${e['price']:.0f} per person\n Rating: {e['rating']}\n Tags: {', '.join(e['keywords'])}\n"
|
| 124 |
+
f" Availability: generally available; use check_availability for a specific date.")
|
| 125 |
+
def r_avail(e,date,n):
|
| 126 |
+
ds=f" on {date}" if date else ""
|
| 127 |
+
return (f"Availability for {e['name']}{ds}:\n Status: Available\n Tickets requested: {n}\n"
|
| 128 |
+
f" Price per ticket: ${e['price']:.0f}\n Total: ${e['price']*n:.0f}")
|
| 129 |
+
def r_purchase(e,n,ttype):
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| 130 |
code="BK"+"".join(random.choice("ABCDEFGHJKLMNPQRSTUVWXYZ23456789") for _ in range(6))
|
| 131 |
+
return (f"Booking Confirmed!\n Experience: {e['name']}\n Location: {e['location']}\n Tickets: {n} x {ttype}\n"
|
| 132 |
+
f" Total Charged: ${e['price']*n:.0f}\n Confirmation ID: {code}\n Status: confirmed")
|
| 133 |
+
|
| 134 |
+
def finish(msgs, city, target, n, date, occ):
|
| 135 |
+
m,i=a_call("get_experience_details",{"experience_id":target["id"]}, "This looks like a great fit. Let me pull up the details.")
|
| 136 |
+
msgs+= [m, t_res(i,"get_experience_details",r_details(target))]
|
| 137 |
+
m,i=a_call("check_availability",{"experience_id":target["id"],"date":date,"num_tickets":n}, "Let me confirm availability.")
|
| 138 |
+
msgs+= [m, t_res(i,"check_availability",r_avail(target,date,n))]
|
| 139 |
+
m,i=a_call("purchase_tickets",{"experience_id":target["id"],"num_tickets":n,"ticket_type":"standard"}, "It's available. Booking it now.")
|
| 140 |
+
msgs+= [m, t_res(i,"purchase_tickets",r_purchase(target,n,"standard"))]
|
| 141 |
+
msgs.append({"role":"assistant","content":
|
| 142 |
+
f"All set! I booked {n} ticket(s) for {target['name']} in {city} on {date} (${target['price']*n:.0f} total). You're confirmed. Enjoy {occ}!"})
|
|
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|
| 143 |
|
| 144 |
+
def make(pattern):
|
| 145 |
+
city,abbrev,country,broad=random.choice(CITIES)
|
| 146 |
+
exps=CATALOG[city]; target=random.choice(exps); occ=random.choice(OCCASIONS)
|
| 147 |
+
vibe=VIBES.get(target["category"],"something memorable"); n=random.choice([1,1,1,2,2,3,4]); date=random.choice(DATES)
|
| 148 |
msgs=[{"role":"system","content":SYSTEM}]
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|
| 149 |
|
| 150 |
+
if pattern=="direct_success":
|
| 151 |
+
msgs.append({"role":"user","content":random.choice(OPENERS_CITY).format(city=city,occ=occ,vibe=vibe)})
|
| 152 |
+
if random.random()<0.5:
|
| 153 |
+
kw=random.choice(target["keywords"])
|
| 154 |
+
m,i=a_call("search_experiences",{"location":city,"keywords":kw}, f"Let me search {city} for {kw} options.")
|
| 155 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,[target]))]
|
| 156 |
+
else:
|
| 157 |
+
m,i=a_call("search_experiences",{"location":city}, f"Let me search experiences in {city}.")
|
| 158 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,exps))]
|
| 159 |
+
else:
|
| 160 |
+
msgs.append({"role":"user","content":random.choice(OPENERS_BROAD).format(loc=random.choice(broad),occ=occ,vibe=vibe)})
|
| 161 |
+
if pattern in ("broad_to_city","two_wrong_then_city"):
|
| 162 |
+
tries=random.sample(broad,2) if pattern=="two_wrong_then_city" and len(broad)>=2 else [random.choice(broad)]
|
| 163 |
+
for k,bt in enumerate(tries):
|
| 164 |
+
m,i=a_call("search_experiences",{"location":bt}, f"Let me search {bt}." if k==0 else "That's still too broad. Let me narrow it down.")
|
| 165 |
+
msgs+=[m,t_res(i,"search_experiences",r_empty(bt))]
|
| 166 |
+
m,i=a_call("search_experiences",{"location":city}, f"'{tries[-1]}' is too broad for the search. Let me use the specific city, {city}.")
|
| 167 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,exps))]
|
| 168 |
+
elif pattern=="keyword_refine":
|
| 169 |
+
m,i=a_call("search_experiences",{"location":city}, f"Let me search {city}.")
|
| 170 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,exps))]
|
| 171 |
+
kw=random.choice(target["keywords"])
|
| 172 |
+
m,i=a_call("search_experiences",{"location":city,"keywords":kw}, f"Several options came up. Let me narrow with the keyword '{kw}'.")
|
| 173 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,[target]))]
|
| 174 |
+
else: # bad_keyword_recover
|
| 175 |
+
bad=random.choice(["".join(random.sample(target["keywords"][0],len(target["keywords"][0]))), target["keywords"][0]+"xz","ultra-luxury "+target["keywords"][0]])
|
| 176 |
+
m,i=a_call("search_experiences",{"location":city,"keywords":bad}, f"Let me search {city} for '{bad}'.")
|
| 177 |
+
msgs+=[m,t_res(i,"search_experiences",r_empty(city))]
|
| 178 |
+
good=random.choice(target["keywords"])
|
| 179 |
+
m,i=a_call("search_experiences",{"location":city,"keywords":good}, f"No matches for that keyword. Let me broaden it to '{good}'.")
|
| 180 |
+
msgs+=[m,t_res(i,"search_experiences",r_hits(city,[target]))]
|
| 181 |
+
|
| 182 |
+
finish(msgs,city,target,n,date,occ)
|
| 183 |
+
return {"messages":msgs,"tools":TOOLS,"metadata":{"city":city,"country":country,"target_id":target["id"],"category":target["category"],"pattern":pattern,"num_tickets":n}}
|
| 184 |
+
|
| 185 |
+
REC=["broad_to_city","two_wrong_then_city","keyword_refine","bad_keyword_recover"]
|
| 186 |
+
rows=[]
|
| 187 |
+
for _ in range(3000): rows.append(make(random.choice(REC)))
|
| 188 |
+
for _ in range(750): rows.append(make("direct_success"))
|
| 189 |
+
random.shuffle(rows)
|
| 190 |
|
|
|
|
| 191 |
out=os.path.join(os.path.dirname(__file__),"agentic_recovery.jsonl")
|
|
|
|
|
|
|
|
|
|
|
|
|
| 192 |
with open(out,"w",encoding="utf-8") as f:
|
| 193 |
+
for r in rows: f.write(json.dumps(r,ensure_ascii=False)+"\n")
|
|
|
|
|
|
|
|
|
|
| 194 |
from collections import Counter
|
| 195 |
+
print("WROTE",len(rows),"->",out)
|
| 196 |
+
print("patterns",dict(Counter(r["metadata"]["pattern"] for r in rows)))
|
| 197 |
+
print("avg turns",round(sum(len(r['messages']) for r in rows)/len(rows),1),"| cities",len(set(r['metadata']['city'] for r in rows)))
|
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