sync: auto-sync from DESKTOP-0O8A1RL at 2026-05-16 15:59:41
Author: Mike Swanson Machine: DESKTOP-0O8A1RL Timestamp: 2026-05-16 15:59:41
This commit is contained in:
54
tmp_qwen_reason.py
Normal file
54
tmp_qwen_reason.py
Normal file
@@ -0,0 +1,54 @@
|
||||
import urllib.request, json, time
|
||||
|
||||
def ask(model, prompt, max_tokens=6000):
|
||||
payload = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": False,
|
||||
"options": {"num_predict": max_tokens}
|
||||
}
|
||||
start = time.time()
|
||||
req = urllib.request.Request(
|
||||
"http://localhost:11434/api/generate",
|
||||
data=json.dumps(payload).encode(),
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
r = json.loads(urllib.request.urlopen(req, timeout=600).read())
|
||||
elapsed = time.time() - start
|
||||
tokens = r.get("eval_count", 0)
|
||||
dur_ns = r.get("eval_duration", 1)
|
||||
tps = tokens / (dur_ns / 1e9) if dur_ns else 0
|
||||
raw = r["response"].strip()
|
||||
if "<think>" in raw and "</think>" in raw:
|
||||
think = raw[raw.index("<think>")+7 : raw.index("</think>")]
|
||||
visible = raw[raw.index("</think>")+8:].strip()
|
||||
think_words = len(think.split())
|
||||
else:
|
||||
think = ""
|
||||
visible = raw
|
||||
think_words = 0
|
||||
return visible, elapsed, tokens, tps, think_words, think
|
||||
|
||||
prompt = (
|
||||
"An MSP has 3 technicians. Tech A can complete 4 tickets per hour. "
|
||||
"Tech B can complete 3 tickets per hour. Tech C can complete 2 tickets per hour. "
|
||||
"They have 45 tickets in the queue. Tech A works 8 hours, Tech B works 6 hours, "
|
||||
"Tech C works 4 hours. Will they clear the queue? How many tickets will be left or "
|
||||
"how many ahead of schedule will they finish? Show your work."
|
||||
)
|
||||
|
||||
print("Running qwen3.6 reasoning test at 6000 token budget...")
|
||||
print(f"Prompt: {prompt}\n")
|
||||
|
||||
for model in ["qwen3.6:latest", "qwen3:14b"]:
|
||||
print(f"\n{'='*60}")
|
||||
print(f"MODEL: {model}")
|
||||
print('='*60)
|
||||
visible, t, tokens, tps, think_words, think = ask(model, prompt)
|
||||
print(f"Time: {t:.1f}s | Total tokens: {tokens} | Speed: {tps:.0f} tok/s")
|
||||
if think_words:
|
||||
print(f"Thinking: ~{think_words} words")
|
||||
print(f"Thinking excerpt (first 300 chars):\n {think[:300]}...")
|
||||
else:
|
||||
print("Thinking: not exposed in output")
|
||||
print(f"\nResponse:\n{visible}")
|
||||
159
tmp_qwen_test.py
Normal file
159
tmp_qwen_test.py
Normal file
@@ -0,0 +1,159 @@
|
||||
import urllib.request, json, time, sys
|
||||
|
||||
MODEL = "qwen3.6:latest"
|
||||
COMPARE = "qwen3:14b"
|
||||
|
||||
def ask(model, prompt, system=None, max_tokens=400):
|
||||
payload = {"model": model, "prompt": prompt, "stream": False, "options": {"num_predict": max_tokens}}
|
||||
if system:
|
||||
payload["system"] = system
|
||||
start = time.time()
|
||||
req = urllib.request.Request(
|
||||
"http://localhost:11434/api/generate",
|
||||
data=json.dumps(payload).encode(),
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
r = json.loads(urllib.request.urlopen(req, timeout=180).read())
|
||||
elapsed = time.time() - start
|
||||
tokens = r.get("eval_count", 0)
|
||||
dur_ns = r.get("eval_duration", 1)
|
||||
tps = tokens / (dur_ns / 1e9) if dur_ns else 0
|
||||
return r["response"].strip(), elapsed, tokens, tps
|
||||
|
||||
def report(label, resp, t, tokens, tps):
|
||||
print(f"\n--- {label} ---")
|
||||
print(f"Response:\n{resp}")
|
||||
print(f"\nTime: {t:.1f}s | Output tokens: {tokens} | Speed: {tps:.0f} tok/s")
|
||||
print()
|
||||
|
||||
# ── TEST 1: Ticket Classification ──────────────────────────────────────────
|
||||
print("=" * 60)
|
||||
print("TEST 1: TICKET CLASSIFICATION")
|
||||
print("=" * 60)
|
||||
p = (
|
||||
"Classify this IT support ticket into ONE category: "
|
||||
"Hardware, Software, Network, Security, or User-Error.\n\n"
|
||||
"Ticket: Client says Outlook keeps asking for password every morning. "
|
||||
"Rebooting does not help. Started after a Windows Update last Tuesday.\n\n"
|
||||
"Respond with the category name and one sentence of reasoning. No thinking tags."
|
||||
)
|
||||
resp, t, tok, tps = ask(MODEL, p)
|
||||
report(MODEL, resp, t, tok, tps)
|
||||
|
||||
# ── TEST 2: JSON Structured Extraction ─────────────────────────────────────
|
||||
print("=" * 60)
|
||||
print("TEST 2: STRUCTURED JSON EXTRACTION")
|
||||
print("=" * 60)
|
||||
p2 = (
|
||||
"Extract the following from the ticket and return ONLY valid JSON, no explanation:\n"
|
||||
"Fields: client_name, issue_summary, affected_system, urgency (low/medium/high), suggested_action\n\n"
|
||||
"Ticket: Hi, this is Janet from Cascades Dental. Our front desk computer running Windows 10 "
|
||||
"is showing a blue screen every time we open Dentrix. This started this morning and we have "
|
||||
"patients coming in at 9am. We need this fixed ASAP.\n\n"
|
||||
"Return only the JSON object."
|
||||
)
|
||||
resp2, t2, tok2, tps2 = ask(MODEL, p2)
|
||||
report(MODEL, resp2, t2, tok2, tps2)
|
||||
try:
|
||||
# strip thinking tags if present
|
||||
clean = resp2
|
||||
if "</think>" in clean:
|
||||
clean = clean[clean.index("</think>") + 8:].strip()
|
||||
parsed = json.loads(clean)
|
||||
print(f"[OK] Valid JSON: {list(parsed.keys())}")
|
||||
except Exception as e:
|
||||
print(f"[FAIL] JSON parse error: {e}")
|
||||
|
||||
# ── TEST 3: Summarization ───────────────────────────────────────────────────
|
||||
print("\n" + "=" * 60)
|
||||
print("TEST 3: TECHNICAL SUMMARIZATION")
|
||||
print("=" * 60)
|
||||
p3 = (
|
||||
"Summarize the following incident in 3 bullet points for a client-facing email. "
|
||||
"Be professional, non-technical, under 80 words total.\n\n"
|
||||
"Incident: The GuruRMM agent watchdog on Pluto (172.16.3.36) failed to restart the main "
|
||||
"agent service after an auto-update because: (1) SCM service.stop() returned access denied, "
|
||||
"(2) suppress_until was set to a future timestamp instead of being cleared on failure, "
|
||||
"(3) the watchdog then treated the suppression as intentional and skipped all restart attempts "
|
||||
"for 25 minutes. Fix: sc.exe fallback added for stop, suppress_until cleared on error."
|
||||
)
|
||||
resp3, t3, tok3, tps3 = ask(MODEL, p3)
|
||||
report(MODEL, resp3, t3, tok3, tps3)
|
||||
|
||||
# ── TEST 4: Code Explanation ────────────────────────────────────────────────
|
||||
print("=" * 60)
|
||||
print("TEST 4: RUST CODE EXPLANATION")
|
||||
print("=" * 60)
|
||||
p4 = (
|
||||
"Explain what this Rust code does in 2-3 sentences. Be specific about the error handling strategy.\n\n"
|
||||
"```rust\n"
|
||||
"let stop_result = service.stop();\n"
|
||||
"if let Err(e) = stop_result {\n"
|
||||
" warn!(\"Watchdog: SCM stop failed ({}), falling back to sc.exe\", e);\n"
|
||||
" let _ = std::process::Command::new(\"sc.exe\")\n"
|
||||
" .args([\"stop\", MAIN_SERVICE_NAME])\n"
|
||||
" .status();\n"
|
||||
"}\n"
|
||||
"```"
|
||||
)
|
||||
resp4, t4, tok4, tps4 = ask(MODEL, p4)
|
||||
report(MODEL, resp4, t4, tok4, tps4)
|
||||
|
||||
# ── TEST 5: Roadmap Classification ─────────────────────────────────────────
|
||||
print("=" * 60)
|
||||
print("TEST 5: FEATURE ROADMAP PLACEMENT (MSP context)")
|
||||
print("=" * 60)
|
||||
p5 = (
|
||||
"You are helping classify a feature request for GuruRMM, an RMM tool for MSPs. "
|
||||
"The roadmap sections are: Core Agent Features, Server/API Features, Dashboard & UI, "
|
||||
"Platform & Infrastructure, Integrations, Future Considerations.\n\n"
|
||||
"Feature request: Add the ability to remotely enable or disable Windows Defender Real-Time "
|
||||
"Protection on managed endpoints from the dashboard.\n\n"
|
||||
'Respond with JSON only: {"section": "...", "subsection": "...", "priority": "P1|P2|P3", "summary": "..."}'
|
||||
)
|
||||
resp5, t5, tok5, tps5 = ask(MODEL, p5)
|
||||
report(MODEL, resp5, t5, tok5, tps5)
|
||||
try:
|
||||
clean5 = resp5
|
||||
if "</think>" in clean5:
|
||||
clean5 = clean5[clean5.index("</think>") + 8:].strip()
|
||||
if clean5.startswith("```"):
|
||||
clean5 = clean5.split("\n", 1)[1].rsplit("```", 1)[0].strip()
|
||||
parsed5 = json.loads(clean5)
|
||||
print(f"[OK] Valid JSON: {parsed5}")
|
||||
except Exception as e:
|
||||
print(f"[FAIL] JSON parse error: {e}")
|
||||
|
||||
# ── TEST 6: Instruction Following ───────────────────────────────────────────
|
||||
print("\n" + "=" * 60)
|
||||
print("TEST 6: MULTI-STEP INSTRUCTION FOLLOWING")
|
||||
print("=" * 60)
|
||||
p6 = (
|
||||
"Do exactly these steps in order:\n"
|
||||
"1. Write the word ALPHA on its own line\n"
|
||||
"2. Count the letters in the word 'authenticate'\n"
|
||||
"3. Write that number doubled on its own line\n"
|
||||
"4. Write the word OMEGA on its own line\n"
|
||||
"No explanation, no thinking, just the three lines of output."
|
||||
)
|
||||
resp6, t6, tok6, tps6 = ask(MODEL, p6)
|
||||
report(MODEL, resp6, t6, tok6, tps6)
|
||||
lines = [l.strip() for l in resp6.split("\n") if l.strip()]
|
||||
if "</think>" in resp6:
|
||||
lines = [l for l in lines if not l.startswith("<")]
|
||||
print(f"Lines output: {lines}")
|
||||
expected_num = len("authenticate") * 2 # 12*2=24
|
||||
ok = "ALPHA" in lines and "OMEGA" in lines and str(expected_num) in lines
|
||||
print(f"[{'OK' if ok else 'FAIL'}] Expected ALPHA, {expected_num}, OMEGA")
|
||||
|
||||
# ── TEST 7: Speed comparison ─────────────────────────────────────────────
|
||||
print("\n" + "=" * 60)
|
||||
print("TEST 7: SPEED COMPARISON (same prompt, both models)")
|
||||
print("=" * 60)
|
||||
speed_prompt = "List 5 common Windows 10 issues an IT support technician encounters and one fix for each. Be concise."
|
||||
print(f"Prompt: {speed_prompt}\n")
|
||||
for model in [MODEL, COMPARE]:
|
||||
r, t, tok, tps = ask(model, speed_prompt)
|
||||
print(f"{model}: {t:.1f}s | {tok} tokens | {tps:.0f} tok/s")
|
||||
print(f" {r[:200]}...")
|
||||
print()
|
||||
158
tmp_qwen_test2.py
Normal file
158
tmp_qwen_test2.py
Normal file
@@ -0,0 +1,158 @@
|
||||
import urllib.request, json, time
|
||||
|
||||
MODEL = "qwen3.6:latest"
|
||||
COMPARE = "qwen3:14b"
|
||||
|
||||
def ask(model, prompt, system=None, max_tokens=2000, no_think=False):
|
||||
if no_think:
|
||||
prompt = "/no_think\n" + prompt
|
||||
payload = {
|
||||
"model": model,
|
||||
"prompt": prompt,
|
||||
"stream": False,
|
||||
"options": {"num_predict": max_tokens}
|
||||
}
|
||||
if system:
|
||||
payload["system"] = system
|
||||
start = time.time()
|
||||
req = urllib.request.Request(
|
||||
"http://localhost:11434/api/generate",
|
||||
data=json.dumps(payload).encode(),
|
||||
headers={"Content-Type": "application/json"},
|
||||
)
|
||||
r = json.loads(urllib.request.urlopen(req, timeout=300).read())
|
||||
elapsed = time.time() - start
|
||||
tokens = r.get("eval_count", 0)
|
||||
dur_ns = r.get("eval_duration", 1)
|
||||
tps = tokens / (dur_ns / 1e9) if dur_ns else 0
|
||||
raw = r["response"].strip()
|
||||
# Strip thinking block if present
|
||||
if "<think>" in raw and "</think>" in raw:
|
||||
think_content = raw[raw.index("<think>")+7:raw.index("</think>")]
|
||||
visible = raw[raw.index("</think>")+8:].strip()
|
||||
think_tokens = len(think_content.split())
|
||||
else:
|
||||
visible = raw
|
||||
think_tokens = 0
|
||||
return visible, elapsed, tokens, tps, think_tokens
|
||||
|
||||
def hdr(title):
|
||||
print("\n" + "=" * 60)
|
||||
print(title)
|
||||
print("=" * 60)
|
||||
|
||||
def report(label, resp, t, tokens, tps, think_tok):
|
||||
tag = f" [thinking: ~{think_tok} words]" if think_tok else " [no thinking]"
|
||||
print(f"\n{label}{tag}")
|
||||
print(f"Time: {t:.1f}s | Total tokens: {tokens} | Speed: {tps:.0f} tok/s")
|
||||
print(f"Response:\n{resp[:600]}")
|
||||
|
||||
# ── TEST 1: Ticket Classification ──────────────────────────────────────────
|
||||
hdr("TEST 1: TICKET CLASSIFICATION")
|
||||
p = (
|
||||
"Classify this IT support ticket into ONE category: "
|
||||
"Hardware, Software, Network, Security, or User-Error.\n\n"
|
||||
"Ticket: Client says Outlook keeps asking for password every morning. "
|
||||
"Rebooting does not help. Started after a Windows Update last Tuesday.\n\n"
|
||||
"Respond with the category name and one sentence of reasoning."
|
||||
)
|
||||
for no_think in [False, True]:
|
||||
mode = "no_think" if no_think else "thinking"
|
||||
resp, t, tok, tps, think_tok = ask(MODEL, p, no_think=no_think)
|
||||
report(f"{MODEL} [{mode}]", resp, t, tok, tps, think_tok)
|
||||
|
||||
# ── TEST 2: JSON Structured Extraction ─────────────────────────────────────
|
||||
hdr("TEST 2: JSON EXTRACTION")
|
||||
p2 = (
|
||||
"Extract from this ticket and return ONLY a valid JSON object, no explanation:\n"
|
||||
"Fields: client_name, issue_summary, affected_system, urgency (low/medium/high), suggested_action\n\n"
|
||||
"Ticket: Hi, this is Janet from Cascades Dental. Our front desk computer running Windows 10 "
|
||||
"is showing a blue screen every time we open Dentrix. This started this morning and we have "
|
||||
"patients coming in at 9am. We need this fixed ASAP.\n\n"
|
||||
"Return only the JSON object."
|
||||
)
|
||||
for no_think in [False, True]:
|
||||
mode = "no_think" if no_think else "thinking"
|
||||
resp, t, tok, tps, think_tok = ask(MODEL, p2, no_think=no_think)
|
||||
report(f"{MODEL} [{mode}]", resp, t, tok, tps, think_tok)
|
||||
clean = resp.strip().strip("```json").strip("```").strip()
|
||||
try:
|
||||
parsed = json.loads(clean)
|
||||
print(f" [OK] Valid JSON with keys: {list(parsed.keys())}")
|
||||
except Exception as e:
|
||||
print(f" [FAIL] {e} | raw: {repr(clean[:100])}")
|
||||
|
||||
# ── TEST 3: Summarization ───────────────────────────────────────────────────
|
||||
hdr("TEST 3: SUMMARIZATION (no_think only — faster)")
|
||||
p3 = (
|
||||
"Summarize this incident in 3 bullet points for a client-facing email. "
|
||||
"Professional, non-technical, under 80 words total.\n\n"
|
||||
"Incident: The GuruRMM agent watchdog on a Windows build server failed to restart the main "
|
||||
"agent service after an auto-update because: (1) SCM service.stop() returned access denied, "
|
||||
"(2) suppress_until was set to a future timestamp instead of being cleared on failure, "
|
||||
"causing the watchdog to skip all restart attempts for 25 minutes. "
|
||||
"Fix: sc.exe fallback added for stop, suppress_until cleared on error."
|
||||
)
|
||||
resp3, t3, tok3, tps3, think3 = ask(MODEL, p3, no_think=True)
|
||||
report(f"{MODEL} [no_think]", resp3, t3, tok3, tps3, think3)
|
||||
|
||||
# ── TEST 4: Roadmap Classification (JSON) ──────────────────────────────────
|
||||
hdr("TEST 4: FEATURE ROADMAP PLACEMENT (no_think)")
|
||||
p4 = (
|
||||
"You are classifying a feature request for GuruRMM, an RMM tool for MSPs. "
|
||||
"Roadmap sections: Core Agent Features, Server/API Features, Dashboard & UI, "
|
||||
"Platform & Infrastructure, Integrations, Future Considerations.\n\n"
|
||||
"Feature request: Add ability to remotely enable or disable Windows Defender "
|
||||
"Real-Time Protection on managed endpoints from the dashboard.\n\n"
|
||||
'Return ONLY this JSON: {"section": "...", "subsection": "...", "priority": "P1|P2|P3", "summary": "..."}'
|
||||
)
|
||||
resp4, t4, tok4, tps4, think4 = ask(MODEL, p4, no_think=True)
|
||||
report(f"{MODEL} [no_think]", resp4, t4, tok4, tps4, think4)
|
||||
clean4 = resp4.strip().strip("```json").strip("```").strip()
|
||||
try:
|
||||
parsed4 = json.loads(clean4)
|
||||
print(f" [OK] {parsed4}")
|
||||
except Exception as e:
|
||||
print(f" [FAIL] {e}")
|
||||
|
||||
# ── TEST 5: Instruction Following ───────────────────────────────────────────
|
||||
hdr("TEST 5: INSTRUCTION FOLLOWING (no_think)")
|
||||
p5 = (
|
||||
"Do exactly these steps:\n"
|
||||
"1. Write ALPHA on its own line\n"
|
||||
"2. Count letters in 'authenticate' and double that number, write only the result on its own line\n"
|
||||
"3. Write OMEGA on its own line\n"
|
||||
"Output only the three lines."
|
||||
)
|
||||
resp5, t5, tok5, tps5, think5 = ask(MODEL, p5, no_think=True)
|
||||
report(f"{MODEL} [no_think]", resp5, t5, tok5, tps5, think5)
|
||||
lines = [l.strip() for l in resp5.split("\n") if l.strip()]
|
||||
expected = str(len("authenticate") * 2)
|
||||
ok = "ALPHA" in lines and "OMEGA" in lines and expected in lines
|
||||
print(f" Lines: {lines} -> [{'OK' if ok else 'FAIL'}] (expect ALPHA, {expected}, OMEGA)")
|
||||
|
||||
# ── TEST 6: Speed head-to-head ──────────────────────────────────────────────
|
||||
hdr("TEST 6: SPEED — qwen3.6 vs qwen3:14b (no_think, same prompt)")
|
||||
speed_p = (
|
||||
"List 5 common Windows 10 issues an MSP technician sees and one fix for each. Be concise, no intro."
|
||||
)
|
||||
print(f"Prompt: {speed_p}\n")
|
||||
for model in [MODEL, COMPARE]:
|
||||
nt = model == MODEL # no_think only for 3.6
|
||||
resp, t, tok, tps, think_tok = ask(model, speed_p, no_think=nt, max_tokens=600)
|
||||
label = f"{model} [{'no_think' if nt else 'default'}]"
|
||||
print(f"{label}: {t:.1f}s | {tok} tokens | {tps:.0f} tok/s")
|
||||
print(resp[:400])
|
||||
print()
|
||||
|
||||
# ── TEST 7: Thinking mode — where it shines ─────────────────────────────────
|
||||
hdr("TEST 7: REASONING — where thinking mode should help")
|
||||
p7 = (
|
||||
"An MSP has 3 technicians. Tech A can complete 4 tickets per hour. "
|
||||
"Tech B can complete 3 tickets per hour. Tech C can complete 2 tickets per hour. "
|
||||
"They have 45 tickets in the queue. Tech A works 8 hours, Tech B works 6 hours, "
|
||||
"Tech C works 4 hours. Will they clear the queue? How many tickets will be left or "
|
||||
"how many ahead of schedule will they finish? Show your work."
|
||||
)
|
||||
resp7, t7, tok7, tps7, think7 = ask(MODEL, p7, no_think=False, max_tokens=1500)
|
||||
report(f"{MODEL} [thinking]", resp7, t7, tok7, tps7, think7)
|
||||
Reference in New Issue
Block a user