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d814291 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 | from __future__ import annotations
import json
import os
import sys
from typing import Any
import requests
from osint_env.baselines.openai_runner import SYSTEM_PROMPT, build_action_tools
from osint_env.llm.interface import OllamaLLMClient
SPACE_URL = os.getenv("SPACE_URL", "https://siddeshwar1625-osint.hf.space").rstrip("/")
OLLAMA_BASE = os.getenv("OLLAMA_BASE_URL", "http://127.0.0.1:11434").rstrip("/")
MODEL = os.getenv("OLLAMA_MODEL", "qwen3:2b")
MAX_STEPS = int(os.getenv("MAX_STEPS", "8"))
REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "90"))
TASK_INDICES = [int(x.strip()) for x in os.getenv("TASK_INDICES", "0").split(",") if x.strip()]
def _message_text(message: Any) -> str:
content = getattr(message, "content", "")
if isinstance(content, str):
return content
if isinstance(content, list):
parts: list[str] = []
for item in content:
if isinstance(item, dict) and item.get("type") == "text":
parts.append(str(item.get("text", "")))
return "\n".join(part for part in parts if part)
return str(content or "")
def _assistant_tool_call_id(message: dict[str, Any]) -> str | None:
tool_calls = list(message.get("tool_calls", []))
if not tool_calls:
return None
tool_call_id = tool_calls[0].get("id")
return str(tool_call_id) if tool_call_id else None
def _tool_result_message(assistant_message: dict[str, Any], result: dict[str, Any]) -> dict[str, Any] | None:
tool_call_id = _assistant_tool_call_id(assistant_message)
if not tool_call_id:
return None
return {
"role": "tool",
"tool_call_id": tool_call_id,
"content": json.dumps(result, sort_keys=True),
}
def _decode_action(tool_name: str, args: dict[str, Any]) -> dict[str, Any]:
if tool_name == "submit_answer":
return {"action_type": "ANSWER", "payload": {"answer": str(args.get("answer", "")).strip()}}
if tool_name == "add_edge":
return {
"action_type": "ADD_EDGE",
"payload": {
"src": str(args.get("src", "")).strip(),
"rel": str(args.get("rel", "")).strip(),
"dst": str(args.get("dst", "")).strip(),
"confidence": float(args.get("confidence", 1.0)),
},
}
return {"action_type": "CALL_TOOL", "payload": {"tool_name": tool_name, "args": dict(args)}}
def _format_action(action: dict[str, Any]) -> str:
action_type = str(action.get("action_type", ""))
payload = dict(action.get("payload", {}))
if action_type == "ANSWER":
return f"answer({payload.get('answer', 'unknown')})"
if action_type == "ADD_EDGE":
return (
"add_edge("
f"{payload.get('src', '')},"
f"{payload.get('rel', '')},"
f"{payload.get('dst', '')},"
f"{float(payload.get('confidence', 1.0)):.2f}"
")"
)
tool_name = str(payload.get("tool_name", "tool"))
args = dict(payload.get("args", {}))
if not args:
return f"{tool_name}()"
arg_str = ",".join(f"{key}={value}" for key, value in sorted(args.items()))
return f"{tool_name}({arg_str})"
def get_model_action(client: OllamaLLMClient, messages: list[dict[str, Any]], tools: list[dict[str, Any]]) -> tuple[dict[str, Any], dict[str, Any]]:
llm_resp = client.generate(messages, tools)
content = llm_resp.content or ""
tool_calls = list(llm_resp.tool_calls or [])
if not tool_calls:
return {"action_type": "ANSWER", "payload": {"answer": content.strip() or "unknown"}}, {
"role": "assistant",
"content": content,
}
tool_call = tool_calls[0]
tool_name = str(tool_call.get("tool_name", ""))
args = dict(tool_call.get("args", {}))
assistant_message = {
"role": "assistant",
"content": content,
"tool_calls": [
{
"id": "local",
"type": "function",
"function": {"name": tool_name, "arguments": json.dumps(args, sort_keys=True)},
}
],
}
return _decode_action(tool_name, args), assistant_message
def main() -> None:
try:
ping = requests.get(f"{SPACE_URL}/healthz", timeout=REQUEST_TIMEOUT)
ping.raise_for_status()
print(f"Space health: {ping.json()}")
except Exception as exc:
raise SystemExit(f"Space health check failed: {exc}") from exc
client = OllamaLLMClient(model=MODEL, base_url=OLLAMA_BASE, timeout_seconds=REQUEST_TIMEOUT)
tools = build_action_tools()
for task_index in TASK_INDICES:
print(f"Resetting task {task_index} via {SPACE_URL}/openenv/reset")
resp = requests.post(f"{SPACE_URL}/openenv/reset", json={"task_index": task_index}, timeout=REQUEST_TIMEOUT)
resp.raise_for_status()
data = resp.json()
session_id = str(data.get("session_id"))
observation = data.get("observation", {})
messages: list[dict[str, Any]] = [
{"role": "system", "content": SYSTEM_PROMPT},
{"role": "user", "content": json.dumps(observation, indent=2, sort_keys=True)},
]
done = bool(data.get("done", False))
step = 0
rewards: list[float] = []
while not done and step < MAX_STEPS:
step += 1
action, assistant_message = get_model_action(client, messages, tools)
error = None
try:
result = requests.post(
f"{SPACE_URL}/openenv/step",
json={
"session_id": session_id,
"action_type": action["action_type"],
"payload": action["payload"],
},
timeout=REQUEST_TIMEOUT,
)
result.raise_for_status()
result = result.json()
except Exception as exc:
error = str(exc)
print(f"Step {step}: request failed: {error}")
break
reward = float(result.get("reward", 0.0) or 0.0)
done = bool(result.get("done", False))
rewards.append(reward)
print(f"Step {step}: action={_format_action(action)} reward={reward:.3f} done={done} error={error}")
messages.append(assistant_message)
tool_message = _tool_result_message(assistant_message, result)
if tool_message is not None:
messages.append(tool_message)
print(f"Episode finished. steps={step} total_reward={sum(rewards):.3f} rewards={rewards}")
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
print("Interrupted", file=sys.stderr)
sys.exit(1)
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