Changing the runtime default model from gpt-4o to gpt-4.1 makes existing documentation inaccurate (e.g., doc/GRAMMAR.md explicitly states the default is gpt-4o). Please update the docs (and any other user-facing references) to reflect the new default so users aren’t misled when they omit model: in task definitions.

gpt_latest (and the previously defined Claude aliases) are removed from the example model_config, but other repository examples and docs still reference gpt_latest (e.g., README “Model configs” section, doc/GRAMMAR.md model_config example, and examples/taskflows/CVE-2023-2283.yaml uses model: gpt_latest with this config). With this change, those taskflows will pass gpt_latest through as the provider model ID and likely fail at runtime. Consider either reintroducing gpt_latest (mapping to the desired provider model) or updating the referenced docs/taskflows to use gpt_default (or another existing key).

This note now suggests a default model like gpt-4.1, but the actual default model identifier is endpoint-specific (e.g., models.github.ai defaults to a namespaced ID like openai/gpt-4.1 in src/seclab_taskflow_agent/agent.py). To avoid confusion for users switching endpoints, consider explicitly stating that the default model string depends on AI_API_ENDPOINT and may be namespaced, rather than implying a single identifier.