mirror of
https://github.com/BerriAI/litellm.git
synced 2026-10-30 06:43:27 +00:00
91724bb0a7
* fix(count-tokens): translate chat tool use before Claude token counts Responses and chat tool use (function tools, function_call items, tool messages) is now converted the way Claude chat inference converts it before the Anthropic, Azure AI and Vertex partner counters call count_tokens. Translation errors answer 400 before any provider call. Anthropic-shaped requests and /v1/messages/count_tokens keep their body as sent. * test(count-tokens): compare Claude count bodies with inference for Responses tool use * fix(responses): forward the caller's Responses body to OpenAI token counts OpenAI deployments now get the caller's /v1/responses/input_tokens body as sent, minus LiteLLM-only fields, so OpenAI's own count and errors come back. previous_response_id is checked for ownership like inference and routes to the deployment that served it * fix(responses)!: count Claude Responses bodies the way inference sends them Non-native Responses counts now run the body through the inference bridge, so text.format, tool_choice, reasoning, built-in tools, and file_search count the way inference sends them on Anthropic, Azure AI, Vertex, and Bedrock. The OpenAI native count body uses the drop_params-resolved tool fields. * fix(responses): honor drop_params and replay previous turns in Claude counts Claude input_tokens counts now read the same drop_params setting inference merges from the deployment, router defaults, and request, so a forced tool_choice downgrades to auto under drop_params. previous_response_id replays the stored turns through inference's session loader, and chat messages carrying fields beyond role and content go through the provider's chat translation * fix(responses): keep proxy-only request keys out of OpenAI counts and map chat tools in Bedrock counts * fix(count-tokens): import on Python 3.11 and keep stored prompts in OpenAI counts under drop_params * fix(responses): leave tool_choice out of counts when drop_params drops every tool * fix(count-tokens): count Mantle options, drop cache marks, and reject input inference cannot send The Bedrock Mantle fallback now counts thinking, tool_choice and output_config like the runtime count. Claude Responses counts leave out cache_control marks again, so more than four marks count instead of failing. Counts answer 400 before any provider call for user blocks chat inference refuses and for Responses tools with no Chat Completions equivalent, instead of dropping the block or counting a placeholder tool. Adds the wire tests for these paths * fix(count-tokens): count Responses tools the way the inference bridge sends them A Claude count now hoists additional_tools input items into tools, strips a malformed tool flag under drop_params and rejects it without, and leaves tools out when the deployment lists tools in additional_drop_params, so the count matches the body Claude inference sends for the same request * fix(count-tokens): keep Bedrock runtime counts option-free and send OpenAI the provider file id * test(count-tokens): capture the Anthropic count request at the HTTP layer instead of patching the handler * fix(count-tokens): ignore a caller-sent file id mapping and keep non-string file ids as sent |
||
|---|---|---|
| .. | ||
| batches | ||
| chat | ||
| files | ||
| messages | ||
| pass_through | ||
| __init__.py | ||
| anthropic_docs_refusal.py | ||
| test_anthropic_common_utils.py | ||
| test_anthropic_count_tokens_transformation.py | ||
| test_anthropic_files_and_batches.py | ||
| test_anthropic_output_format_filter.py | ||
| test_anthropic_prompt_cache_prediction.py | ||
| test_anthropic_prompt_cache_pricing.py | ||
| test_anthropic_reasoning_effort.py | ||
| test_anthropic_schema_filter.py | ||
| test_anthropic_structured_output.py | ||
| test_anthropic_wif.py | ||
| test_azure_ai_cache_pricing.py | ||
| test_cost_calculation_dict_safety.py | ||
| test_count_tokens_oauth.py | ||
| test_message_sanitization.py | ||