Commit graph

4 commits

Author SHA1 Message Date
ryan-crabbe-berri
243ed4393d test: reject assertions on a caught error inside except (ruff PT017)
A test that asserts on the error inside its own except block passes when the
call stops raising, because nothing runs the handler. That is the exact case
the test exists to catch, so the regression lands green.

Rewrites all 111 such blocks into pytest.raises, which fails when the call
succeeds, and selects PT017 in ruff-tests.toml so no new one lands.
2026-08-21 13:35:08 -07:00
ryan-crabbe-berri
21e9632713
test: add six ruff rules that catch tests which cannot fail (#37709)
`assert False` inside a `try:` raises AssertionError, which the `except
Exception` right below it catches, so several tests reported green no matter
what the code did. `pytest.fail` raises Failed, a BaseException, and escapes.

A bare `a == b` statement is evaluated and discarded. Nine of those sat in
tests, and one was comparing against a model name the router never produces.

Selects B011, B015, B018, PT015, PLR0133 and PLW0127 in ruff-tests.toml
alongside F821, with all 50 existing violations fixed, so no budget file or
ratchet is needed. CI already runs this config over tests/.
2026-08-20 14:21:26 -07:00
Ishaan Jaffer
e8461b5b97
style: run black formatter on files from main merge 2026-04-17 13:02:59 -07:00
Ishaan Jaff
bfceb7fc3f
feat(perplexity): add embedding support for pplx-embed-v1 models (#22610)
* feat: add Perplexity embedding support (pplx-embed-v1)

Add support for Perplexity AI's embedding models via the LLM HTTP handler:

Models:
- pplx-embed-v1-0.6b (1024 dims, 32K context, $0.004/1M tokens)
- pplx-embed-v1-4b (2560 dims, 32K context, $0.03/1M tokens)

Implementation:
- PerplexityEmbeddingConfig in litellm/llms/perplexity/embedding/
- Registered in ProviderConfigManager, __init__.py lazy imports, main.py dispatch
- Model pricing added to model_prices_and_context_window.json
- Supports dimensions and encoding_format parameters
- Uses base_llm_http_handler.embedding() pattern

Tests:
- 19 unit tests covering transformation, params, URLs, provider config, model info

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* docs: add Perplexity AI embeddings documentation

- Create providers/perplexity_embedding.md with SDK and proxy usage examples
- Convert Perplexity from flat doc to category in sidebars.js
- Category includes existing chat/responses doc + new embeddings doc
- Covers pplx-embed-v1-0.6b and pplx-embed-v1-4b models
- Documents supported parameters (dimensions, encoding_format)
- Includes proxy config and curl examples

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

* fix: decode Perplexity base64_int8 embeddings to OpenAI-format float arrays

Perplexity returns embeddings as base64-encoded signed int8 values by default,
not float arrays like OpenAI. This commit adds decoding in
transform_embedding_response so the proxy returns standard OpenAI-compatible
float arrays (normalized to [-1, 1]).

- Added _decode_base64_embedding() static method
- Handles both base64 strings (decoded) and float lists (passthrough)
- Added 3 new tests for base64 decoding + passthrough

Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>

---------

Co-authored-by: Cursor Agent <cursoragent@cursor.com>
Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com>
2026-03-02 17:37:50 -08:00