Status of testing Providers that were prepared on October 31, 2026
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Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 38/100
Direzione di ricerca
Start with the contributor verification steps in dev/README_RELEASE_PROVIDERS.md. Install Common AI 1.1.0rc3 with current dependencies, then test streaming execution and replay, plus OpenSandbox 1.2 ports-only egress policy mismatch handling for the compatibility fix in #75270. Done means reporting the results in the comments and confirming the outstanding RC3 test item.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Common AI 1.1.0rc3 is a separate candidate following its exclusion from the October 29 RC2 vote. Azure 15.3.0rc2 and OpenLineage 2.21.0rc2 remain in their existing vote.
The new Common AI fix is #75270: durable streaming works with pydantic-ai 2.60+, and a rejected OpenSandbox 1.2 ports-only egress policy reports the intended error. Existing lower dependency bounds are unchanged. Please test both streaming execution/replay and policy mismatch handling with current dependencies.
Six checked items are carried forward from the previous testing issue; they are prior confirmations of unchanged code, not new RC3 test results. The new compatibility fix remains unchecked pending contributor confirmation against RC3.
I have a kind request for all the contributors to the latest provider distributions release.
Could you please help us to test the RC versions of the providers?
The guidelines on how to test providers can be found in
Verify providers by contributors
Let us know in the comments, whether the issue is addressed.
These are providers that require testing as there were some substantial changes introduced:
Provider common.ai: 1.1.0rc3
- Publish usage, run id and model name from LLMOperator's subclasses (#75208): @pierrejeambrun
Linked issues:- Linked Issue #74272: @pierrejeambrun
- Linked Issue #74355: @pierrejeambrun
- Linked Issue #74334: @pierrejeambrun
- common-ai: let a generic pydanticai connection set a default model provider (#75909): @jlaneve
Linked issues:- Linked Issue #75906: @jlaneve
- Add async aget_conn and acreate_agent to PydanticAIHook (#74150): @dabla
- Let Claude Agent SDK agent loops use common.ai toolsets through a new AirflowTools adapter (#74026): @Lee-W
- Support multimodal prompts with require_approval in LLM operators (#74388): @guan404ming
- Add emit_message_history to record an agent transcript without seeding it (#74811): @pankajastro
- Push LLMOperator's token usage and cost to XCom (#74355): @pierrejeambrun
- Fix Common AI compatibility with pydantic-ai 2.60+ and OpenSandbox 1.2 (#75270): @github-actions[bot]
Linked issues:- Linked Issue #73627: @kaxil
- Make common.ai hooks report misconfiguration instead of failing silently (#74451): @Lee-W
- Load Common AI plugin tabs when the browser reaches Airflow on another origin (#75522): @kaxil
Linked issues:- Linked Issue #66618: @jinoo7099
- Fix Common AI's AI Model tab for tasks inside a task loop (#75518): @kaxil
Linked issues:- Linked Issue #74334: @pierrejeambrun
- Linked Issue #74351: @ashb
- Fix pulling AgentOperator output for list, marker and function types (#74729): @FrankYang0529
Linked issues:- Linked Issue #74537: @FrankYang0529
- Use
mask_secretfromcommon.compat1.22.0 in mcp hook (#75064): @mattwang44 - [main] Upgrade important CI environment (#73822): @github-actions[bot]
Linked issues:- Linked Issue #73627: @kaxil
- Keep common.ai on anthropic 1.x until pydantic-ai supports anthropic 2 (#75640): @Lee-W
- List Meta among common.ai's external services and recognise new pydantic-ai 2.59 providers (#75641): @Lee-W
- Make LoggingToolset private and update Experimental notes in common.ai (#74694): @Lee-W
- Rewrite the Common AI sandbox configuration page around what users set up (#75826): @kaxil
- Add an LLM task loop example that stops on a dollar or token budget (#75516): @kaxil
All users involved in the PRs:
@dabla @pierrejeambrun @jlaneve @pankajastro @Lee-W @github-actions[bot] @mattwang44 @guan404ming @FrankYang0529 @kaxil
Drafted-by: Codex (GPT-6) (no human review before posting)
- Lingua principale
- Python
- Stelle
- 47.3k
- Fork
- 18.2k
- Merge medio
- 17h 59m
- PR unite (30g)
- 639
Preparare l'ambiente
Avvia il container di sviluppo del progetto nel browser, con il tuo account GitHub.
- Include un Dockerfile o un file Docker Compose
- Ha un modello di pull request
- Leggi la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
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