Frank
7c77326c33
The 2026-10-08 rename moved the harness model ids and the homepage cards; the served aliases on the wire stayed frank-primary/frank-large/ frank-secondary. This closes the gap: the alias each endpoint announces is now the family name, while the services, units, scripts, env files and runbooks keep the old names (container identity stays stable). - scripts/frank-secondary.env ALIAS, scripts/frank-large.env HALOGEN_MODEL_ID, scripts/frank-primary.env FRANK_PRIMARY_SERVED_NAME (+ the two serve-script defaults/gate messages) - seams re-pinned: frank_secondary/frank_large/frank_primary unit bats - fleet harnesses retargeted: bench-probe, deep-probe, calib-push, fleet-probes-swift15, autoresearch(+measure), bench-threads-batch-http, bench-decode - shared/homepage/docs.html: api-id annotations and the "switchover will rename the ids" footnote removed — the page's names are now the ids; opencode/Pi/curl examples send frank-zealot - dankclaw/hermes/config.yaml.example: frank-large -> frank-dragoon and the live 262144 context (Hermes routes by served id; see Hermes.md) Consumers with live state re-keyed out-of-band in the same window: OpenWebUI (model row, access_grant, openai.api_configs model_ids) and the Hermes config.yaml.
57 lines
3.2 KiB
Bash
Executable File
57 lines
3.2 KiB
Bash
Executable File
#!/usr/bin/env bash
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# fleet-probes-swift15.sh — RUNS ON DANKSERVER. The cutover contract probes.
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set -uo pipefail
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B=http://localhost:7770/v1
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echo "== vision (solid red 512px, expect 'Red')"
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python3 - <<'PY'
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import base64, json, urllib.request, struct, zlib
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def png(color):
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w = h = 512
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raw = b"".join(b"\x00" + bytes(color) * w for _ in range(h))
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def chunk(t, d):
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c = t + d
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return struct.pack(">I", len(d)) + c + struct.pack(">I", zlib.crc32(c))
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return (b"\x89PNG\r\n\x1a\n"
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+ chunk(b"IHDR", struct.pack(">IIBBBBB", w, h, 8, 2, 0, 0, 0))
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+ chunk(b"IDAT", zlib.compress(raw)) + chunk(b"IEND", b""))
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b64 = base64.b64encode(png((255, 0, 0))).decode()
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body = json.dumps({"model": "frank-archon", "max_tokens": 256, "temperature": 0,
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"messages": [{"role": "user", "content": [
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{"type": "image_url", "image_url": {"url": "data:image/png;base64," + b64}},
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{"type": "text", "text": "What color is this image? Answer with one word."}]}]}).encode()
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r = urllib.request.Request("http://localhost:7770/v1" + "/chat/completions",
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data=body, headers={"Content-Type": "application/json"})
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d = json.load(urllib.request.urlopen(r, timeout=300))
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m = d["choices"][0]["message"]
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ans = (m.get("content") or m.get("reasoning_content") or "")
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print("VISION ANSWER:", ans[:80].replace("\n", " "))
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PY
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echo "== tools (expect tool_calls)"
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curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' -d '{
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"model":"frank-archon","temperature":0,"max_tokens":128,
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"messages":[{"role":"user","content":"What is 23 times 47? Use the calculator tool."}],
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"tools":[{"type":"function","function":{"name":"calculator","description":"evaluate arithmetic",
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"parameters":{"type":"object","properties":{"expr":{"type":"string"}},"required":["expr"]}}}]}' \
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| python3 -c 'import json,sys; d=json.load(sys.stdin); m=d["choices"][0]["message"]; print("TOOL_CALLS:", m.get("tool_calls"))'
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echo "== reasoning_effort fold (xhigh/medium/low/high all 200 on froggeric v22.5)"
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for lvl in xhigh medium low high; do
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code=$(curl -s -o /dev/null -w "%{http_code}" -m 120 $B/chat/completions \
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-H 'Content-Type: application/json' \
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-d "{\"model\":\"frank-archon\",\"max_tokens\":8,\"reasoning_effort\":\"$lvl\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}")
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echo " reasoning_effort=$lvl -> HTTP $code"
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done
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echo "== reasoning_content channel"
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curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
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-d '{"model":"frank-archon","max_tokens":64,"messages":[{"role":"user","content":"Is 97 prime? Think briefly."}]}' \
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| python3 -c 'import json,sys; m=json.load(sys.stdin)["choices"][0]["message"]; print("has reasoning_content:", bool(m.get("reasoning_content")), "| content:", (m.get("content") or "")[:60].replace(chr(10)," "))'
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echo "== response_format json_object"
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curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' \
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-d '{"model":"frank-archon","max_tokens":64,"response_format":{"type":"json_object"},"messages":[{"role":"user","content":"Return JSON {\"ok\": true}"}]}' \
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| python3 -c 'import json,sys; d=json.load(sys.stdin); print("JSON MODE:", (d["choices"][0]["message"].get("content") or "")[:60])'
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echo "PROBES_DONE"
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