langchain-ai/langgraph · error · HostBackendError
Failed to decode response from {path}: {err}
Error message
Failed to decode response from {path}: {err} What it means
Error "Failed to decode response from {path}: {err}" thrown in langchain-ai/langgraph.
Source
Thrown at libs/cli/langgraph_cli/host_backend.py:69
) -> Any:
try:
resp = self._client.request(method, path, json=payload, params=params)
resp.raise_for_status()
except httpx.HTTPStatusError as err:
detail = err.response.text or str(err.response.status_code)
raise HostBackendError(
f"{method} {path} failed with status {err.response.status_code}: {detail}",
status_code=err.response.status_code,
) from None
except httpx.TransportError as err:
raise HostBackendError(str(err)) from None
if not resp.content:
return None
try:
return resp.json()
except ValueError as err:
raise HostBackendError(
f"Failed to decode response from {path}: {err}"
) from None
def create_deployment(
self,
name: str,
deployment_type: str,
source: str,
config_path: str | None = None,
secrets: list[dict[str, str]] | None = None,
) -> dict[str, Any]:
"""Create a deployment."""
payload: dict[str, Any] = {
"name": name,
"source": source,
"source_config": {"deployment_type": deployment_type},
"source_revision_config": {},
}View on GitHub (pinned to 38031739e5)
When it happens
Trigger: Thrown at libs/cli/langgraph_cli/host_backend.py:69 when the library encounters an invalid state.
Common situations: See trigger scenarios.
Understand the failure class
- Parsing and encoding errors: unexpected token, malformed input — why parsers reject input and how to find the real culprit.
AI-assisted analysis of langchain-ai/langgraph@38031739e5 (2026-08-26).
Data as JSON: /api/errors/ab4d812e53573694.
Report an issue: GitHub.