langchain-ai/deepagents · error · RuntimeError
Context Hub conflict retry loop exhausted unexpectedly
Error message
Context Hub conflict retry loop exhausted unexpectedly
What it means
The Context Hub mutation push (commit) path uses a bounded conflict-retry loop: when a commit conflicts with concurrent changes, it retries until attempts are exhausted, then raises RuntimeError. This message is a defensive invariant — if raised, the retry loop ended without either succeeding or raising its expected conflict/limit error, indicating a bug in the retry bookkeeping rather than a user-recoverable condition.
Source
Thrown at libs/deepagents/deepagents/backends/context_hub.py:377
except LangSmithConflictError as conflict:
if attempt == _MAX_CONFLICT_RETRIES:
raise
self._reload_after_conflict(conflict)
continue
commit_hash = self._extract_commit_hash(url)
if commit_hash is not None:
return changes, commit_hash, None
snapshot = self._fetch_tree()
commit_hash = snapshot[2]
if commit_hash is None:
msg = "Context Hub commit succeeded but its hash could not be resolved"
raise RuntimeError(msg)
return changes, commit_hash, snapshot
msg = "Context Hub conflict retry loop exhausted unexpectedly"
raise RuntimeError(msg)
def _complete_batch(
self,
batch: list[_Mutation],
changes: dict[str, str | None],
commit_hash: str | None,
*,
authoritative_snapshot: _TreeSnapshot | None,
) -> bool:
failed_pending: list[_Mutation] = []
with self._mutations.condition:
if authoritative_snapshot is None:
cache = dict(self._ensure_cache_locked())
self._overlay(cache, changes)
self._cache = cache
else:
cache, linked_entries, _ = authoritative_snapshot
if self._mutations.pending:View on GitHub (pinned to a1af029e6e)
Solutions
- Capture the full traceback and file a bug report — this branch is meant to be unreachable
- Reduce concurrent writers hitting the same Context Hub keys to rule out conflict-path anomalies
- Check your deepagents version for known fixes to context_hub mutation draining and upgrade
- Wrap _drain_mutations calls and re-raise after logging, since retrying at the call site will not help
Example fix
# Not user-fixable; report: # before raise RuntimeError(msg) # after (library patch should raise a typed MaxConflictRetriesExceeded with attempt count) raise MaxConflictRetriesExceeded(msg, attempts=max_attempts)
Defensive patterns
Strategy: try-catch
Try / catch
try:
hub._drain_mutations(batch)
except RuntimeError as exc:
if "conflict retry loop exhausted" in str(exc):
log.exception("Context Hub internal retry failure; aborting batch")
raise Prevention
- Avoid multiple concurrent writers mutating the same Context Hub keys
- Pin deepagents versions and review changelogs for context_hub fixes
- Treat this error as a bug report trigger, not a retryable condition
When it happens
Trigger: Calling _push_batch (via _drain_mutations) when the conflict-retry loop's attempt counter hits zero without returning: the retry condition exited in an unexpected way instead of raising the intended 'too many conflicts' error or returning a commit result.
Common situations: Concurrent writers mutating the same Context Hub keys, or a bug/regression in the retry loop's control flow after a library upgrade; usually surfaced as an unexpected crash during batched backend mutations.
Related errors
- Context Hub mutation deadline is missing
- modes can only be provided when agent is a factory
- models can only be provided when agent is a factory
- -32601
- -32002
AI-assisted analysis of langchain-ai/deepagents@a1af029e6e (2026-08-29).
Data as JSON: /api/errors/ae5683cf9ee759b2.
Report an issue: GitHub.