y
This commit is contained in:
@@ -188,7 +188,7 @@ def _build_user(
|
||||
|
||||
# ── LLM call with retry ────────────────────────────────────────────────────
|
||||
|
||||
def _llm_call_with_retry(call_fn, *, retries: int = 5, timeout: int = 120):
|
||||
def _llm_call_with_retry(call_fn, *, retries: int = 5, timeout: int | None = 120):
|
||||
"""Wrap an LLM API call with retry and per-call timeout."""
|
||||
last_err = None
|
||||
for attempt in range(retries):
|
||||
@@ -335,7 +335,7 @@ def _chat_call(
|
||||
deployment: str,
|
||||
messages: list[dict],
|
||||
max_output_tokens: int,
|
||||
llm_timeout: int = 120,
|
||||
llm_timeout: int | None = 120,
|
||||
) -> str:
|
||||
"""Single LLM call, no tools. Returns raw text."""
|
||||
reasoning_effort = get_reasoning_effort()
|
||||
@@ -402,8 +402,8 @@ def run_single(
|
||||
answer_position: str = "",
|
||||
skill_content: str = "",
|
||||
max_output_tokens: int = 16384,
|
||||
llm_timeout: int = 120,
|
||||
task_timeout: int = 300,
|
||||
llm_timeout: int | None = 120,
|
||||
task_timeout: int | None = 300,
|
||||
diagnostic_mode: bool = False,
|
||||
diagnostic_instruction: str = "",
|
||||
diagnostic_trace_context: str = "",
|
||||
@@ -416,8 +416,9 @@ def run_single(
|
||||
|
||||
Returns ``{"code": str, "raw": str, "n_turns": 1}``.
|
||||
"""
|
||||
no_task_timeout = task_timeout is None or task_timeout <= 0
|
||||
if is_target_exec_backend():
|
||||
deadline = time.time() + task_timeout
|
||||
deadline = None if no_task_timeout else time.time() + task_timeout
|
||||
deployment = _get_deployment()
|
||||
work_dir, skill_md, task_md, prompt = _prepare_codex_workspace(
|
||||
instruction=instruction,
|
||||
@@ -430,8 +431,11 @@ def run_single(
|
||||
diagnostic_instruction=diagnostic_instruction,
|
||||
diagnostic_trace_context=diagnostic_trace_context,
|
||||
)
|
||||
remaining = max(10, int(deadline - time.time()))
|
||||
effective_timeout = min(task_timeout, remaining)
|
||||
if deadline is None:
|
||||
effective_timeout = 10**9
|
||||
else:
|
||||
remaining = max(10, int(deadline - time.time()))
|
||||
effective_timeout = min(task_timeout, remaining)
|
||||
final_message, raw = _run_exec_backend(
|
||||
work_dir=work_dir,
|
||||
prompt=prompt,
|
||||
@@ -453,7 +457,7 @@ def run_single(
|
||||
"target_user_prompt": f"{prompt}\n\n## Task File\n\n{task_md}",
|
||||
}
|
||||
|
||||
deadline = time.time() + task_timeout
|
||||
deadline = None if no_task_timeout else time.time() + task_timeout
|
||||
client = get_target_client()
|
||||
deployment = _get_deployment()
|
||||
system = _build_system(skill_content)
|
||||
@@ -472,8 +476,11 @@ def run_single(
|
||||
{"role": "user", "content": user},
|
||||
]
|
||||
|
||||
remaining = max(10, int(deadline - time.time()))
|
||||
effective_timeout = min(llm_timeout, remaining)
|
||||
if deadline is None:
|
||||
effective_timeout = None
|
||||
else:
|
||||
remaining = max(10, int(deadline - time.time()))
|
||||
effective_timeout = min(llm_timeout or remaining, remaining)
|
||||
raw = _chat_call(client, deployment, messages, max_output_tokens, llm_timeout=effective_timeout)
|
||||
time.sleep(3) # Rate-limit cooldown after successful LLM call
|
||||
code = extract_code(raw)
|
||||
@@ -497,8 +504,8 @@ def run_multi(
|
||||
skill_content: str = "",
|
||||
max_turns: int = 5,
|
||||
max_output_tokens: int = 16384,
|
||||
llm_timeout: int = 120,
|
||||
task_timeout: int = 600,
|
||||
llm_timeout: int | None = 120,
|
||||
task_timeout: int | None = 600,
|
||||
gold_path: str = "",
|
||||
diagnostic_mode: bool = False,
|
||||
diagnostic_instruction: str = "",
|
||||
@@ -520,8 +527,9 @@ def run_multi(
|
||||
|
||||
Returns ``{"code": str, "raw": str, "n_turns": int, "conversation": [...]}``.
|
||||
"""
|
||||
no_task_timeout = task_timeout is None or task_timeout <= 0
|
||||
if is_target_exec_backend():
|
||||
deadline = time.time() + task_timeout
|
||||
deadline = None if no_task_timeout else time.time() + task_timeout
|
||||
deployment = _get_deployment()
|
||||
work_dir, skill_md, task_md, initial_prompt = _prepare_codex_workspace(
|
||||
instruction=instruction,
|
||||
@@ -549,11 +557,13 @@ def run_multi(
|
||||
solution_path = os.path.join(work_dir, "solution.py")
|
||||
|
||||
for turn in range(max_turns):
|
||||
remaining = deadline - time.time()
|
||||
if remaining <= 10:
|
||||
break
|
||||
|
||||
effective_timeout = max(10, int(remaining))
|
||||
if deadline is None:
|
||||
effective_timeout = 10**9
|
||||
else:
|
||||
remaining = deadline - time.time()
|
||||
if remaining <= 10:
|
||||
break
|
||||
effective_timeout = max(10, int(remaining))
|
||||
final_message, raw = _run_exec_backend(
|
||||
work_dir=work_dir,
|
||||
prompt=prompt,
|
||||
@@ -577,7 +587,12 @@ def run_multi(
|
||||
"Write a complete `solution.py` that reads `INPUT_PATH` and saves `OUTPUT_PATH`."
|
||||
)
|
||||
else:
|
||||
ok, err = run_generated_code(code, input_xlsx, output_path)
|
||||
ok, err = run_generated_code(
|
||||
code,
|
||||
input_xlsx,
|
||||
output_path,
|
||||
timeout=None if no_task_timeout else 120,
|
||||
)
|
||||
if ok:
|
||||
if gold_path and answer_position:
|
||||
from skillopt.envs.spreadsheetbench.rollout import _auto_verify_output
|
||||
@@ -617,7 +632,7 @@ def run_multi(
|
||||
"target_user_prompt": f"{initial_prompt}\n\n## Task File\n\n{task_md}",
|
||||
}
|
||||
|
||||
deadline = time.time() + task_timeout
|
||||
deadline = None if no_task_timeout else time.time() + task_timeout
|
||||
client = get_target_client()
|
||||
deployment = _get_deployment()
|
||||
system = _build_system(skill_content)
|
||||
@@ -640,12 +655,14 @@ def run_multi(
|
||||
raw = ""
|
||||
|
||||
for turn in range(max_turns):
|
||||
remaining = deadline - time.time()
|
||||
if remaining <= 10:
|
||||
# Not enough time for another round
|
||||
break
|
||||
|
||||
effective_timeout = min(llm_timeout, int(remaining))
|
||||
if deadline is None:
|
||||
effective_timeout = None
|
||||
else:
|
||||
remaining = deadline - time.time()
|
||||
if remaining <= 10:
|
||||
# Not enough time for another round
|
||||
break
|
||||
effective_timeout = min(llm_timeout or int(remaining), int(remaining))
|
||||
raw = _chat_call(client, deployment, messages, max_output_tokens, llm_timeout=effective_timeout)
|
||||
time.sleep(3) # Rate-limit cooldown after successful LLM call
|
||||
code = extract_code(raw)
|
||||
@@ -663,7 +680,12 @@ def run_multi(
|
||||
continue
|
||||
|
||||
# Execute the code
|
||||
ok, err = run_generated_code(code, input_xlsx, output_path)
|
||||
ok, err = run_generated_code(
|
||||
code,
|
||||
input_xlsx,
|
||||
output_path,
|
||||
timeout=None if no_task_timeout else 120,
|
||||
)
|
||||
if ok:
|
||||
# Execution succeeded — check correctness if gold_path available
|
||||
if gold_path and answer_position:
|
||||
|
||||
Reference in New Issue
Block a user