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* fix(count_tokens): convert Anthropic-format messages for the OpenAI counter the way inference does * test(count_tokens): check /v1/messages/count_tokens sends OpenAI the input /v1/messages inference sends * fix(count_tokens): build the Anthropic count request without a cast and sync dashboard API types * fix(count_tokens): count Anthropic-format requests for Gemini the way /v1/messages inference converts them * fix(count_tokens): return a 400 naming Anthropic blocks the OpenAI and Gemini count can't convert * test(count_tokens): compare tools by value in the public api test * fix(count_tokens): reject unconvertible blocks nested inside a tool_result * fix(count_tokens): count Anthropic bodies the way /v1/messages inference sends them to OpenAI Unwrap affinity-encoded reasoning, count the structured-output schema, flatten replayed web search results, join a list system prompt, and answer a message without a role with a 400 before calling OpenAI. messages_format is now internal to the Anthropic count route instead of a public /utils/token_counter field. * test(count_tokens): expect the image detail the adapter now sends after merging main * fix(count_tokens): fetch Gemini remote media without blocking the event loop * fix(count_tokens): type normalize_native_messages without the unimported Any On Python 3.10 to 3.13 the annotation is evaluated at import, so the proxy failed to start with NameError * chore(count_tokens): give the Gemini count helpers' list returns a reason * fix(count_tokens): normalize Anthropic messages for Gemini counts the way /v1/messages does * fix(count_tokens): count Gemini bodies after inference's history rewrites and answer converter errors with 400 * test(count_tokens): cover the Gemini count error paths and compaction with a text-block system * fix(proxy): count endpoints return missing-key and request errors in their source API shape * fix(proxy): drop imports the count error change left unused * fix(proxy): let Entra-authenticated Azure AI Claude count tokens and keep Google count errors in the Google envelope * fix(proxy): send Azure environment keys as x-api-key on Azure AI Claude counts and log unexpected Google count failures * fix(proxy): count with the global OpenAI and Anthropic keys chat already uses * fix(proxy): resolve the OpenAI count base with the key so a global key stays on its gateway * fix(proxy): keep unexpected Google count failures generic so internal details stay out of the response * fix(proxy): resolve the Azure AI Claude count base from the same settings chat reads * fix(proxy): count OpenAI tokens with the workload identity bearer chat already uses * fix(proxy): mint the OpenAI workload identity bearer inside the count error handling * fix(proxy): report a failed OpenAI workload identity exchange on the count endpoints as a 401 --------- Co-authored-by: Mrinal Chanshetty <mrinal@berri.ai> |
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| .. | ||
| __init__.py | ||
| test_endpoints.py | ||
| test_gemini_agents_endpoints.py | ||
| test_google_api_endpoints.py | ||
| test_google_endpoint_routing.py | ||
| test_google_gemini_proxy_request.py | ||
| test_interactions_agent_param.py | ||
| test_managed_agents_model_param.py | ||