phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-27 11:43:54 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix: fix testing

Browse source
This commit is contained in:
Krrish Dholakia 2025-03-20 14:37:58 -07:00
parent bc03378fef
commit f11b57bad4
2 changed files with 137 additions and 108 deletions
Download patch file Download diff file Expand all files Collapse all files

137
tests/local_testing/test_get_model_info.py
View file

@ -3,6 +3,9 @@
import os
import sys
import traceback
import json
from jsonschema import validate
from typing import List, Dict, Any
@ -403,3 +406,137 @@ def test_get_model_info_cost_calculator_bedrock_region_cris_stripped(model, prov
print("info", info)
assert info["key"] == "us.anthropic.claude-3-haiku-20240307-v1:0"
assert info["litellm_provider"] == "bedrock"
def test_aaamodel_prices_and_context_window_json_is_valid():
"""
Validates the `model_prices_and_context_window.json` file.
If this test fails after you update the json, you need to update the schema or correct the change you made.
"""
INTENDED_SCHEMA = {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"cache_creation_input_audio_token_cost": {"type": "number"},
"cache_creation_input_token_cost": {"type": "number"},
"cache_read_input_token_cost": {"type": "number"},
"deprecation_date": {"type": "string"},
"input_cost_per_audio_per_second": {"type": "number"},
"input_cost_per_audio_per_second_above_128k_tokens": {"type": "number"},
"input_cost_per_audio_token": {"type": "number"},
"input_cost_per_character": {"type": "number"},
"input_cost_per_character_above_128k_tokens": {"type": "number"},
"input_cost_per_image": {"type": "number"},
"input_cost_per_image_above_128k_tokens": {"type": "number"},
"input_cost_per_pixel": {"type": "number"},
"input_cost_per_query": {"type": "number"},
"input_cost_per_request": {"type": "number"},
"input_cost_per_second": {"type": "number"},
"input_cost_per_token": {"type": "number"},
"input_cost_per_token_above_128k_tokens": {"type": "number"},
"input_cost_per_token_batch_requests": {"type": "number"},
"input_cost_per_token_batches": {"type": "number"},
"input_cost_per_token_cache_hit": {"type": "number"},
"input_cost_per_video_per_second": {"type": "number"},
"input_cost_per_video_per_second_above_128k_tokens": {"type": "number"},
"input_dbu_cost_per_token": {"type": "number"},
"litellm_provider": {"type": "string"},
"max_audio_length_hours": {"type": "number"},
"max_audio_per_prompt": {"type": "number"},
"max_document_chunks_per_query": {"type": "number"},
"max_images_per_prompt": {"type": "number"},
"max_input_tokens": {"type": "number"},
"max_output_tokens": {"type": "number"},
"max_pdf_size_mb": {"type": "number"},
"max_query_tokens": {"type": "number"},
"max_tokens": {"type": "number"},
"max_tokens_per_document_chunk": {"type": "number"},
"max_video_length": {"type": "number"},
"max_videos_per_prompt": {"type": "number"},
"metadata": {"type": "object"},
"mode": {
"type": "string",
"enum": [
"audio_speech",
"audio_transcription",
"chat",
"completion",
"embedding",
"image_generation",
"moderation",
"rerank",
"responses",
],
},
"output_cost_per_audio_token": {"type": "number"},
"output_cost_per_character": {"type": "number"},
"output_cost_per_character_above_128k_tokens": {"type": "number"},
"output_cost_per_image": {"type": "number"},
"output_cost_per_pixel": {"type": "number"},
"output_cost_per_second": {"type": "number"},
"output_cost_per_token": {"type": "number"},
"output_cost_per_token_above_128k_tokens": {"type": "number"},
"output_cost_per_token_batches": {"type": "number"},
"output_db_cost_per_token": {"type": "number"},
"output_dbu_cost_per_token": {"type": "number"},
"output_vector_size": {"type": "number"},
"rpd": {"type": "number"},
"rpm": {"type": "number"},
"source": {"type": "string"},
"supports_assistant_prefill": {"type": "boolean"},
"supports_audio_input": {"type": "boolean"},
"supports_audio_output": {"type": "boolean"},
"supports_embedding_image_input": {"type": "boolean"},
"supports_function_calling": {"type": "boolean"},
"supports_image_input": {"type": "boolean"},
"supports_parallel_function_calling": {"type": "boolean"},
"supports_pdf_input": {"type": "boolean"},
"supports_prompt_caching": {"type": "boolean"},
"supports_response_schema": {"type": "boolean"},
"supports_system_messages": {"type": "boolean"},
"supports_tool_choice": {"type": "boolean"},
"supports_video_input": {"type": "boolean"},
"supports_vision": {"type": "boolean"},
"tool_use_system_prompt_tokens": {"type": "number"},
"tpm": {"type": "number"},
"supported_endpoints": {
"type": "array",
"items": {
"type": "string",
"enum": [
"/v1/responses",
"/v1/embeddings",
"/v1/chat/completions",
"/v1/completions",
"/v1/images/generations",
"/v1/images/variations",
"/v1/images/edits",
"/v1/batch",
],
},
},
"supported_modalities": {
"type": "array",
"items": {
"type": "string",
"enum": ["text", "audio", "image", "video"],
},
},
"supports_native_streaming": {"type": "boolean"},
},
"additionalProperties": False,
},
}
prod_json = "./model_prices_and_context_window.json"
with open(prod_json, "r") as model_prices_file:
actual_json = json.load(model_prices_file)
assert isinstance(actual_json, dict)
actual_json.pop(
"sample_spec", None
) # remove the sample, whose schema is inconsistent with the real data
validate(actual_json, INTENDED_SCHEMA)