Adapt to upstream API changes:
- Handle the new ImageModel::GptImage2 variant in image-model match arms
- ImageSize dropped Copy (gained an Other(String) variant), so clone it
Supersedes #170.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a per-room/global `sender_context_mode` setting that optionally
prefixes conversation messages with sender metadata before sending them
to the model provider.
This helps models distinguish between participants in multi-user rooms.
Three modes are supported:
- `disabled` (default, no change)
- `matrix_user_id` (prefixes with `[sender=@user:server]`)
- `matrix_user_id_and_timestamp` (adds `send_at`; Example: `[sender=@user:server sent_at=<ISO 8601>]`)
Sender context is applied to user and assistant text messages only,
skipping system prompts and non-text content.
Mixed-sender merged turns (something we intentionally do for Anthropic)
have their `sender_id` cleared to avoid misattribution.
- Add mise.toml (prek 0.3.2) and .pre-commit-config.yaml with hooks for
trailing whitespace, end-of-file, YAML check, merge conflicts, large files,
cargo fmt, cargo clippy (-D warnings), and unit tests
- Add prek/mise recipes to justfile
- Run cargo fmt to fix formatting issues
- Fix all clippy warnings: collapse nested if statements, derive Default for Avatar
Sticker generation was failing when using newer GPT image models
(gpt-image-1, gpt-image-1-mini, gpt-image-1.5). The issue occurred
because stickers requested 256x256 size, but these models only support
1024x1024, 1536x1024, 1024x1536, and auto.
To reproduce, send `!bai sticker Something` to an agent configured
with a GPT image model. The error was:
invalid_request_error: Invalid value: '256x256'. Supported values
are: '1024x1024', '1024x1536', '1536x1024', and 'auto'. (param: size)
(code: invalid_value)
The fix replaces the hardcoded 256x256 size override with a
`smallest_size_possible` flag, letting each provider determine the
appropriate sticker size based on the model being used.
The `openai_compat` provider still defaults to requesting 256x256 in all cases
(regardless of model name).
Switches `async-openai` from our own etkecc fork (0.28.1-patched) to the
official crates.io version 0.31.1.
We adapt to async-openai's types reorganization and making use of crate
features to only enable what we need.
This is a huge patch which does some major refactoring like:
- renaming "Image Generation" to "Image Creation" in most places,
to better match its new command (`!bai image create`)
- relocating image creation command (`!bai image` -> `!bai image create`),
so it wouldn't conflict with the new image editing command (`!bai image edit`)
- introducing a new image editing command (`!bai image edit`), which
is meant to work only with the OpenAI provider, but doesn't fully work yet
due to https://github.com/64bit/async-openai/issues/364, though a next patch will fix it
- adding support for reading images off of Matrix conversations and forwarding them to
text conversations. Works for OpenAI, but not for Anthropic yet
(requires custom patches) and not for OpenAI-Compat (no support for
images there)
- relocating some utils around (base64, mime)
The API reference for `response_format` says:
> This parameter isn't supported for gpt-image-1 which will always return base64-encoded images.
Related to https://github.com/etkecc/baibot/issues/40
This patch introduces a new `baibot_conversation_start_time_utc`
variable which indicates the time the conversation got started.
Using `baibot_now_utc` is still possible, but given that the current
time is a moving target, its use is in conflict with prompt caching.
Because the new `baibot_conversation_start_time_utc` prompt variable
is a more reasonable default, we're now using it in all sample configs.
The other prerequisite seems to be not using a `prompt` (`prompt: null`),
but we already supported this.
It'd be nice to add an optional `max_completion_tokens` parameter as
well, for the benefit of the o1 models, but this is not yet supported by
async-openai.
Possibly tracked here: https://github.com/64bit/async-openai/issues/272
Fixes https://github.com/etkecc/baibot/issues/10
This also includes them in the default prompts (for newly-created agents),
so that people can get a better experience out of the box.
