Ref: https://openai.com/index/introducing-gpt-5/

Related to https://github.com/spantaleev/matrix-docker-ansible-deploy/issues/4445

Fixes https://github.com/spantaleev/matrix-docker-ansible-deploy/issues/4445

Ref: 91986a129c/CHANGELOG.md (2025-05-11-version-172)

Ref:

- d2660be33c/CHANGELOG.md (2025-05-10-version-170)
- https://openai.com/index/image-generation-api/

Ref: d2660be33c/CHANGELOG.md (2025-05-10-version-170)

Ref: https://openai.com/index/gpt-4-1/

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

The new baibot version (v1.5.0) supports the new Claude Sonnet 3.7
model, which is supposedly improved and priced the same way, so it makes
sense to upgrade to it in our static definitions.

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

This:

- brings consistency - no more mixing `_name_prefix` and `_registry_prefix`
- adds extensibility - a future patch will allow reconfiguring all registry prefixes for all roles in the playbook

We still have `_docker_` vs `_container_` inconsistencies.
These may be worked on later.

`-t` works on both old and new Docker versions, so it's best to use that.

Closes https://github.com/spantaleev/matrix-docker-ansible-deploy/pull/4039

Partially reverts 30dad8ba27 which renamed
`config.yml` to `config.yaml` in the playbook and on the server, for
consistency with the rest of the playbook.

The problem is that:

- baibot defaults to looking for `config.yml`, not `config.yaml` (as provided).
  This can be worked around by specifying a new `BAIBOT_CONFIG_FILE_PATH=config.yaml`
  environment variable. This brings more complexity.

- renaming the target file (on the server) to `config.yaml` means people
  with an existing installation would drag around the old file (`config.yml`) as well,
  unless we create a new Ansible task (`ansible.builtin.file` with `state: absent`) to remove
  the old file. This brings more complexity as well.

https://github.com/spantaleev/matrix-docker-ansible-deploy/pull/4039 adjusts where the file is mounted,
which fixes the immediate problem (baibot not starting), but still means
people will end up with 2 config files for baibot (`config.yml` and `config.yaml`).

This patch, reverts a bit more, so that we still continue to use `config.yml` on the server.
People who have upgraded within the last ~17 hours may end up with 2 files, but it shouldn't be too many of them.

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>

Reasoning models like `o1` and `o3` and their `-mini` variants
report errors if we try to configure `max_response_tokens` (which
ultimately influences the `max_tokens` field in the API request):

> invalid_request_error: Unsupported parameter: 'max_tokens' is not supported with this model. Use 'max_completion_tokens' instead. (param: max_tokens) (code: unsupported_parameter)

`max_completion_tokens` is not yet supported by baibot, so the best we
can do is at least get rid of `max_response_tokens` (`max_tokens`).

Ref: db9422740c

Signed-off-by: Suguru Hirahara <acioustick@noreply.codeberg.org>