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here's the MWE for plain inference as plaintext and highlighted picture of text:
import json, socket, struct, uuid
SOCK = "/run/hatch/sandbox/space-inference.sock"
def call(req, timeout=60):
payload = json.dumps(req).encode()
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
s.settimeout(timeout)
s.connect(SOCK)
s.sendall(struct.pack(">I", len(payload)) + payload)
(n,) = struct.unpack(">I", s.recv(4))
body = b""
while len(body) < n:
chunk = s.recv(n - len(body))
if not chunk:
raise RuntimeError("truncated response")
body += chunk
s.close()
return json.loads(body)
resp = call({
"kind": "complete",
"request_id": f"mwe-{uuid.uuid4().hex[:8]}",
"slug": "__mwe__",
"system": "Always answer in exactly three words.",
"prompt": "What is the capital of France?",
"json_schema": {
"type": "object",
"properties": {"reply": {"type": "string"}},
"required": ["reply"],
"additionalProperties": False,
},
})
print(resp["ok"])
print(resp["result"]["content"])
print(resp["result"].get("usage"))
Replies (1)
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Here is the MWE for spawning agents, in plaintext and pictures of text:
import json, socket, struct, time, uuid
SOCK = "/run/hatch/sandbox/space-inference.sock"
TOOL_REPORT_PROMPT = (
"List EVERY tool function available to you, exhaustively, one per line "
"as namespace.function (for example: muse.exec)."
"Do NOT call any tools -- only report the two lists. "
"End your reply with exactly: DONE"
)
def _roundtrip(req, timeout=120):
payload = json.dumps(req).encode()
s = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
s.settimeout(timeout)
s.connect(SOCK)
s.sendall(struct.pack(">I", len(payload)) + payload)
(n,) = struct.unpack(">I", _recvall(s, 4))
body = _recvall(s, n)
s.close()
return json.loads(body)
def _recvall(s, n):
buf = b""
while len(buf) {run['status']} ({len(run['messages'])} snapshots)")
print("=" * 60)
print(run["final_response"] or "(empty final response)")
Open ##4893201