langchain-ai/deepagents · error · WorkspaceConflictError

workspace binding schema is unsupported for thread {thread_i

Error message

workspace binding schema is unsupported for thread {thread_id}

What it means

`require_thread_workspace` loads the persisted workspace binding for a thread and verifies its schema version matches the current `_SCHEMA_VERSION`. If the on-disk binding was written by an older/newer version of the library whose schema this build cannot read or migrate, it refuses with `WorkspaceConflictError` rather than operating on a binding it may misinterpret. This protects against silent corruption or wrong assumptions about the workspace layout.

Source

Thrown at libs/code/deepagents_code/workspace.py:375

                msg = f"thread {thread_id} has no workspace binding"
                raise WorkspaceConflictError(msg)
            existing = _row_binding(row)
            expected = existing.to_payload()
            if any(data.get(key) != value for key, value in expected.items()):
                msg = f"workspace context does not match thread {thread_id}"
                raise WorkspaceConflictError(msg)
            if (
                claimed_fingerprint is not None
                and claimed_fingerprint != existing.config_fingerprint
            ):
                msg = f"workspace configuration does not match thread {thread_id}"
                raise WorkspaceConflictError(msg)
            return existing

    existing = await asyncio.to_thread(_require)
    if existing.schema_version != _SCHEMA_VERSION:
        msg = f"workspace binding schema is unsupported for thread {thread_id}"
        raise WorkspaceConflictError(msg)
    resolved = await asyncio.to_thread(
        resolve_workspace,
        existing.cwd,
        existing.workspace_config(),
        config_fingerprint=existing.config_fingerprint,
    )
    if resolved.workspace_id != existing.workspace_id:
        msg = f"workspace identity changed for thread {thread_id}"
        raise WorkspaceConflictError(msg)
    return existing

View on GitHub (pinned to a1af029e6e)

Solutions

  1. Recreate the thread's workspace binding so it is written at the current schema version (delete/rebind the binding for that thread).
  2. Align the library version with the one that wrote the binding (check the schema constant `_SCHEMA_VERSION` in the installed package vs. what wrote the store).
  3. Run any provided migration path for the binding store, or clear the stale binding store and let threads rebind on next use.

Example fix

// before: old binding row
{"thread_id": "t-1", "schema_version": 1, ...}
// after: rebind at current schema
binding = await create_thread_workspace(thread_id="t-1", cwd="./ws")
await require_thread_workspace(thread_id="t-1")  # passes
Defensive patterns

Strategy: validation

Validate before calling

from deepagents_code.workspace import require_thread_workspace, WorkspaceConflictError
try:
    binding = await require_thread_workspace(thread_id)
except WorkspaceConflictError as e:
    if "schema is unsupported" in str(e):
        recreate_binding(thread_id)  # rebind at current schema

Try / catch

try:
    await require_thread_workspace(thread_id)
except WorkspaceConflictError as e:
    if "schema is unsupported" in str(e):
        rebind_thread_workspace(thread_id)
    else:
        raise

Prevention

When it happens

Trigger: Calling `make_graph` or `_execute_offload` (which both call `require_thread_workspace`) for a thread whose stored binding row has `schema_version != _SCHEMA_VERSION` — typically after upgrading or downgrading the package between schema-incompatible releases, or hand-editing/copying the binding store.

Common situations: Upgrading `deepagents-code` across a schema bump without migrating; reverting to an older checkout while a newer binding exists; copying workspace state between machines running different versions; concurrent threads created by mixed library versions.

Related errors


AI-assisted analysis of langchain-ai/deepagents@a1af029e6e (2026-08-29). Data as JSON: /api/errors/dacb27e06567e41d. Report an issue: GitHub.