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fix: propagate depth and persistent parameters in DaytonaREPL #71

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Merged
alexzhang13 merged 1 commit into from
Jan 26, 2026
Merged

fix: propagate depth and persistent parameters in DaytonaREPL #71

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24 changes: 17 additions & 7 deletions rlm/environments/daytona_repl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -152,7 +152,7 @@ def respond():
# =============================================================================


def _build_exec_script(code: str, broker_port: int = 8080) -> str:
def _build_exec_script(code: str, broker_port: int = 8080, depth: int = 1) -> str:
"""
Build a script that executes code with state persistence.
LLM queries go through the local broker server.
Expand Down Expand Up @@ -185,7 +185,7 @@ def llm_query(prompt, model=None):
try:
response = requests.post(
f"{{BROKER_URL}}/enqueue",
json={{"type": "single", "prompt": prompt, "model": model}},
json={{"type": "single", "prompt": prompt, "model": model, "depth": {depth}}},
timeout=300,
)
data = response.json()
Expand All @@ -201,7 +201,7 @@ def llm_query_batched(prompts, model=None):
try:
response = requests.post(
f"{{BROKER_URL}}/enqueue",
json={{"type": "batched", "prompts": prompts, "model": model}},
json={{"type": "batched", "prompts": prompts, "model": model, "depth": {depth}}},
timeout=300,
)
data = response.json()
Expand Down Expand Up @@ -329,6 +329,8 @@ def __init__(
lm_handler_address: tuple[str, int] | None = None,
context_payload: dict | list | str | None = None,
setup_code: str | None = None,
persistent: bool = False,
depth: int = 1,
**kwargs,
):
"""
Expand All @@ -347,9 +349,15 @@ def __init__(
lm_handler_address: (host, port) tuple for LM Handler server.
context_payload: Initial context to load into the environment.
setup_code: Optional code to run during setup.
persistent: Whether to persist state across calls (not yet supported).
depth: Depth level for LLM request routing (used by LMHandler).
**kwargs: Additional arguments passed to base class.
"""
super().__init__(**kwargs)
if persistent:
raise NotImplementedError(
"Persistent REPLs are currently not supported for environment: DaytonaREPL"
)
super().__init__(persistent=persistent, depth=depth, **kwargs)

self.api_key = api_key or os.getenv("DAYTONA_API_KEY")
self.target = target
Expand Down Expand Up @@ -489,7 +497,7 @@ def _handle_llm_request(self, req_data: dict) -> dict:

if req_type == "single":
prompt = req_data.get("prompt")
request = LMRequest(prompt=prompt, model=model)
request = LMRequest(prompt=prompt, model=model, depth=self.depth)
response = send_lm_request(self.lm_handler_address, request)

if not response.success:
Expand All @@ -503,7 +511,9 @@ def _handle_llm_request(self, req_data: dict) -> dict:

elif req_type == "batched":
prompts = req_data.get("prompts", [])
responses = send_lm_request_batched(self.lm_handler_address, prompts, model=model)
responses = send_lm_request_batched(
self.lm_handler_address, prompts, model=model, depth=self.depth
)

results = []
for resp in responses:
Expand Down Expand Up @@ -539,7 +549,7 @@ def execute_code(self, code: str) -> REPLResult:
self.pending_llm_calls.clear()

# Build and execute the script
script = _build_exec_script(code, self.BROKER_PORT)
script = _build_exec_script(code, self.BROKER_PORT, self.depth)

# Upload the script as a temporary file
script_path = "/tmp/rlm_exec_script.py"
Expand Down