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Recommended action: Set task_type=TaskType.SEQ_CLS or modules_to_save=["classifier", ...]; the same warning at inference time after loading the base model is expected. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Use `async for chunk in response` inside deployments (or `for` outside). Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Upgrade the client/SDK or unset a hard-coded DOCKER_API_VERSION so it negotiates; for 'too new', upgrade the daemon or let the client negotiate down. As a temporary measure on the daemon host, set DOCKER_MIN_API_VERSION to the needed version. Option:
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Recommended action: Use "<provider>/<model>" with Instructor's provider keys (e.g. "openai/gpt-4o-mini", "azure_openai/<deployment>"); for LiteLLM-style routing use "litellm/<litellm model string>". Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Call the helpers inside the decorated function/context manager; when using threads or executors propagate contextvars (e.g. contextvars.copy_context().run) or pass the span object and call span.update() directly. Option: Update via the span object or propagate
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Recommended action: Use model="provider:name" or TemporalModel(...), and drive the agent with await agent.ainvoke()/astream(). Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Re-run `aws login` (use `--remote` on headless hosts); for the permission error grant signin:CreateOAuth2Token to the principal; for unattended agents prefer role-based credentials. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Upgrade PEFT (or install from source if trained on unreleased PEFT). Workaround: delete the unknown key from adapter_config.json only if it holds the default value. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Use the *_async variants (await DBOS.start_workflow_async, run_step_async, sleep_async). Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Run exactly the printed commands (az logout, then az login with the given --tenant/--scope/--claims-challenge). For agents/CI, switch to a service principal, workload identity federation, or managed identity rather than user login. Option: Re-login for the ten
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Recommended action: Install deps in the image, package the module and install it, add it to PYTHONPATH, or use runtime_env working_dir/pip. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Disable the selector with `az config set core.login_experience_v2=off`, or pass a subscription filter at login (source parameters: subscription / skip_subscription_discovery; check `az login --help` for flag names), then `az account set --subscription <id>`. F
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Recommended action: Use `aws sso login --use-device-code` (device code flow, works cross-device); newer versions also support --redirect-port to fix the callback port for forwarding. For `aws login` use --remote. Option: Use device code flow [evidence: official_recommended_action
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Recommended action: Remove retry_options from the genai client; set ActivityConfig(retry_policy=...) via TemporalAsyncClient(activity_config=...); use the async client in workflows. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Pass langfuse_public_key=... as a kwarg to the decorated function (or use get_client(public_key=...)), and make sure the client for that key was constructed first; otherwise keep a single client per process. Option: Route by langfuse_public_key [evidence: offi
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Recommended action: Inspect model.named_modules()/print(model), set target_modules explicitly (or "all-linear"), then check print_trainable_parameters() and get_layer_status(). Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Run separate TEI containers for the embedding model and the reranker (e.g. BAAI/bge-reranker-*) and point each client at the right one; use /embed_sparse only with SPLADE (ForMaskedLM) models launched with --pooling splade. Evidence basis (self-declared by the
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Recommended action: Run `dbos migrate` (with a privileged role) before deploy, or enable run_migrations. Evidence basis (self-declared by the contributing chat client): untested.
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Recommended action: Run `aws sso login --profile <p>` (in containers add --use-device-code); prefer the sso-session config format, which supports refreshable tokens; agents should surface this to a human rather than loop. Evidence basis (self-declared by the contributing chat cli
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Recommended action: Pre-download weights (image or shared cache), keep __init__ lean, and tune health-check/initial timeouts as needed. Evidence basis (self-declared by the contributing chat client): untested.