Release 0.77.11

[odlbot]

Ahtesham Quraish

• fix: bump version for arithmix game (fix: bump version for arithmix game #3832) (5ed38803)

Shankar Ambady

• vector search completeness penalty (vector search completeness penalty #3805) (c061340b)
• adding fix for hiding offeror facets in hybrid search (fix for hiding offeror facets in hybrid search #3786) (084bb2f8)

Tobias Macey

• feat(cohort-1): StarRocks warehouse-pull ETL machinery (feat(cohort-1): StarRocks warehouse-pull ETL machinery #3807) (6c9617dd)
• chore(deps): mitol-django-observability 2026.3.11 -> 2026.8.19 (chore(deps): mitol-django-observability 2026.3.11 -> 2026.8.19 #3796) (12a2ce32)

Anastasia Beglova

• Update dependency llama-index-llms-openai to >=0.7.10,<0.8 (Update dependency llama-index-llms-openai to >=0.7.10,<0.8 #3826) (33c00ee1)
• get rid of duplicate course checks (get rid of duplicate course checks #3803) (6af35c73)
• Clear redis cache on a schedule (clear cache on schedule #3789) (0c69a409)

renovate[bot]

• Update dependency posthog to v7 (Update dependency posthog to v7 #2765) (7c1c64da)
• Update dependency tiktoken to >=0.13,<0.14 (Update dependency tiktoken to >=0.13,<0.14 #3816) (7d90b070)
• Update dependency ruff to v0.16.2 (Update dependency ruff to v0.16.2 #3815) (cdb6619a)
• Update dependency llama-index-llms-openai to >=0.7.10,<0.8 (Update dependency llama-index-llms-openai to >=0.7.10,<0.8 #3814) (690f08d7)
• Update dependency litellm to v1.95.0 (Update dependency litellm to v1.95.0 #3813) (c9c31396)
• Update dependency drf-spectacular to >=0.30,<0.31 (Update dependency drf-spectacular to >=0.30,<0.31 #3812) (ab6ab347)
• Update apache/apisix Docker tag to v3.17.0 (Update apache/apisix Docker tag to v3.17.0 #2708) (9529aa70)

Matt Bertrand

• Update Django to 5.2 (Update Django to 5.2 #3768) (e390c41e)

Danielle Frappier

• fix: bullet lists and mailto links in About section (fix: bullet lists and mailto links in About section  #3802) (fe1ed675)
• feat: add a Failed filter tab to the B2B contract admin page (feat: add a Failed filter tab to the B2B contract admin page #3778) (762976e2)

Sar

• Revert broken Renovate merges (Update dependency drf-spectacular to >=0.30,<0.31 #3812-Update dependency tiktoken to >=0.13,<0.14 #3816) (Revert broken Renovate merges (#3812-#3816) #3822) (2f304af0)

Chris Chudzicki

• Drive React Query staleTime from the CDN TTL (Drive React Query staleTime from the CDN TTL #3804) (378b4b24)

[github-actions]

OpenAPI Changes

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[sentry]

Bug: When an ETL source omits instructors data, it defaults to [] instead of None, causing load_instructors to delete existing instructors instead of preserving them as intended.
_{Severity: HIGH}

Suggested Fix

Change the default value in run_data.pop("instructors", []) to None. This will align the implementation with the documented convention that None is the sentinel value to indicate that existing instructor data should be preserved.

Prompt for AI Agent

Review the code at the location below. A potential bug has been identified by an AI
agent. Verify if this is a real issue. If it is, propose a fix; if not, explain why it's
not valid.

Location: learning_resources/etl/loaders.py#L370

Potential issue: In `learning_resources/etl/loaders.py`, the `load_run` function
processes instructor data. A comment explicitly states that if an ETL source does not
provide instructor data, it should pass `None` to leave existing data untouched.
However, the implementation at line 370, `instructors_data = run_data.pop("instructors",
[])`, defaults to an empty list `[]` if the `instructors` key is missing. The subsequent
call to `load_instructors` interprets this empty list as a signal to delete all existing
instructors for the run. This leads to silent data loss for any ETL source that omits
the `instructors` key, contrary to the documented intention.

_{Did we get this right? 👍 / 👎 to inform future reviews.}