Krish Dholakia 22d28f5853 Batches - support batch retrieve with target model Query Param + Anthropic - completion bridge, yield content_block_stop chunk (#12228) ... * fix(batches_endpoints/endpoints.py): support passing target model names for batch list as a query param Fixes issue where cloud run fails calls because GET can't contain request body * test(test_openai_batches_endpoints.py): add unit test * docs(managed_batches.md): update docs * feat(spend_tracking_utils.py): support STORE_PROMPTS_IN_SPEND_LOGS env var ensures prompt is stored in spend logs * fix(streaming_iterator.py): fix anthropic - completion streaming iterator to yield content block stop ensures claude code renders messages * test: skip local test		2025-07-01 22:13:48 -07:00
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input_azure.jsonl
input.jsonl
openai_batch_completions.jsonl
openai_fine_tuning.jsonl
out_azure.jsonl
out.jsonl
test_e2e_openai_responses_api.py	Bug Fix - responses api fix got multiple values for keyword argument 'litellm_trace_id' (#12225)	2025-07-01 18:12:22 -07:00
test_openai_batches_endpoint.py	Batches - support batch retrieve with target model Query Param + Anthropic - completion bridge, yield content_block_stop chunk (#12228)	2025-07-01 22:13:48 -07:00
test_openai_files_endpoints.py
test_openai_fine_tuning.py