- Remove `dimensions` from the litellm whitelist in `_ACCEPTED_KWARGS`.
Output dimension must be identical for indexing and query for vectors to
be comparable, so it's a model-wide setting, not a per-side knob —
exposing it under `indexing_params` / `query_params` invited
misconfiguration. Updated comment template, README, design doc, and
testing plan accordingly.
- Plumb `indexing_params` into `create_embedder` and pass them as
constructor kwargs to `PacedLiteLLMEmbedder`. The values land in
`self._kwargs` and become defaults forwarded into every
`litellm.aembedding` call — including paths that don't go through the
`INDEXING_EMBED_PARAMS` context var (e.g. the dim probe in `_get_dim`).
Per-call overrides (`query_params` spread at query time) still win
because `_embed` overlays kwargs on top of `self._kwargs`. Sentence-
transformers ignores `indexing_params` (its constructor doesn't accept
arbitrary kwargs; `prompt_name` is per-call only).
Users can now set `indexing_params` and `query_params` under `embedding:` in
`global_settings.yml` to pass extra kwargs to the embedder separately for
indexing vs. query — supporting asymmetric retrieval models (Cohere v3,
Voyage, Nvidia NIM, Gemini, nomic-ai code/text models, Snowflake arctic,
etc.).
- `ccc init` auto-populates these from a curated table of known models and
prints the applied defaults; unknown models get a commented-out template
for the accepted keys (`prompt_name` for sentence-transformers;
`input_type`, `dimensions` for litellm).
- Daemon validates the effective params at startup; invalid keys fail fast
with a clear error.
- Backward compat: configs for `nomic-ai/CodeRankEmbed` /
`nomic-ai/nomic-embed-code` that predate this feature keep the previous
hardcoded `prompt_name=query` behavior, and a one-time handshake warning
asks users to make the setting explicit. The warning is suppressible by
any non-None `query_params` (including `{}`).
- `ccc doctor` now tests indexing and query separately so asymmetric
misconfigurations surface independently.
Drops the legacy `shared.query_prompt_name` module variable and
`_QUERY_PROMPT_MODELS` set; the new resolution path is centralized in
`embedder_params.resolve_embedder_params` and the curated defaults live in
`embedder_defaults._DEFAULT_PARAMS`.
Also enables `litellm.drop_params = True` so provider-specific kwargs that
a particular model doesn't accept are silently dropped instead of failing.
Jiangzhou