langchain-ai/deepagents · error · ValueError

Workspace policy and fingerprint must be configured together

Error message

Workspace policy and fingerprint must be configured together.

What it means

`set_workspace` accepts an optional workspace policy `config` and its `config_fingerprint`. The two are a matched pair: the fingerprint attests to the exact policy being bound, so providing exactly one of them is ambiguous and raises this ValueError. Both or neither must be supplied.

Source

Thrown at libs/code/deepagents_code/client/remote_client.py:848

        workspace = cast("dict[str, Any]", response["workspace"])
        self._workspaces[thread_id] = workspace
        return workspace

    def set_workspace(
        self,
        cwd: str,
        config: Mapping[str, Any] | None = None,
        *,
        config_fingerprint: str | None = None,
    ) -> None:
        """Configure the explicit workspace used when binding threads.

        Raises:
            ValueError: If only one policy field is provided.
        """
        if (config is None) != (config_fingerprint is None):
            msg = "Workspace policy and fingerprint must be configured together."
            raise ValueError(msg)
        self._workspace_cwd = cwd
        self._workspace_config = dict(config) if config is not None else None
        self._workspace_config_fingerprint = config_fingerprint
        self._workspaces.clear()

    async def aensure_thread(self, config: dict[str, Any]) -> None:
        """Ensure the remote thread record exists before mutating state.

        In the LangGraph dev server, checkpoint persistence and HTTP thread
        registration are separate. After a server restart, a thread may still
        have checkpointed state on disk while `POST /threads/{id}/state`
        returns 404 because the server has not yet materialized that thread in
        its live store.

        This method performs the idempotent HTTP-side registration with
        `if_exists='do_nothing'` so callers that recovered state from
        persistence can safely follow up with `aupdate_state`.

View on GitHub (pinned to a1af029e6e)

Solutions

Pass both arguments together: `set_workspace(cwd, config=policy, config_fingerprint=fingerprint)`.
If you have no policy, call `set_workspace(cwd)` with neither argument.
Compute the fingerprint from the same policy object you pass (e.g. a stable hash of the serialized config) so they cannot diverge.
Audit call sites: if one of the two values can be None while the other is set, normalize them at the source before calling.

Example fix

// before
agent.set_workspace("/project", config=policy)  # ValueError

// after
agent.set_workspace("/project", config=policy, config_fingerprint=fingerprint)

Defensive patterns

Strategy: validation

Validate before calling

if (config is None) != (config_fingerprint is None):
    raise ValueError("Pass both config and config_fingerprint to set_workspace, or neither")
agent.set_workspace(cwd, config=config, config_fingerprint=config_fingerprint)

Try / catch

try:
    agent.set_workspace(cwd, config=policy, config_fingerprint=fingerprint)
except ValueError as exc:
    if "configured together" in str(exc):
        logging.error("Workspace policy and fingerprint must both be set or both omitted")
    else:
        raise

Prevention

Derive the fingerprint from the same policy object you pass, in one helper function.
Never pass the fingerprint through a variable that can independently be None.
Wrap policy binding in a single utility so the pair is always supplied together.

When it happens

Trigger: Calling `agent.set_workspace(cwd, config=policy)` without `config_fingerprint=...`, or `agent.set_workspace(cwd, config_fingerprint="...")` without `config`, with the other argument left as None.

Common situations: Adding the fingerprint parameter to an existing call and forgetting the policy (or vice versa); a refactor passing the fingerprint through a variable that is sometimes None while the config is always set; copying a call example that only showed one argument.

Related errors

AI-assisted analysis of langchain-ai/deepagents@a1af029e6e (2026-08-29). Data as JSON: /api/errors/6f0f0f863ce36c76. Report an issue: GitHub.