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

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input.jsonl

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openai_batch_completions.jsonl

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openai_fine_tuning.jsonl

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out_azure.jsonl

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out.jsonl

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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

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test_openai_fine_tuning.py

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