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.
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.
The new prompt makes use of the new `baibot_conversation_start_time_utc`
prompt variable, which is not a moving target (like `baibot_now_utc`)
and as such allows prompt caching to work.
Ref: https://platform.openai.com/docs/guides/prompt-caching
Since 2024-10-02, `gpt-4o` is actually the same as `gpt-4o-2024-08-06`.
We previously used `gpt-4o-2024-08-06`, because it was pointing to a
much better (longer context) model. Since they're both the same now,
we'd better stick to the unpinned model and make it easier for future
users to get upgrades.
`gpt-4o` will point to `gpt-4o-2024-08-06` after 2nd of October 2024
anyway. At that time, we can revert to pointing to `gpt-4o`.
The reason `gpt-4o-2024-08-06` was chosen now instead of `gpt-4o`:
- the `max_response_tokens` configuration was set to 16k, which matches
`gpt-4o-2024-08-06`, but is too large for `gpt-4o` (max 4k)
- baibot's own configs for dynamically created agents, as well as static
config examples use `gpt-4o-2024-08-06` and the larger
`max_response_tokens` value
The playbook did not use to define a prompt for statically-defined
agents.
Since prompt variables support landed in v1.1.0
(see 2a5a2d6a4d)
it makes sense to make use of it for a better out-of-the-box experience
(see https://github.com/etkecc/baibot/issues/10).
