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litellm/tests/integration/translation/messages/bases/openai.py
Kerry Lu 7b7604f0ed
test(translation): share rich fixtures across Claude, GPT and Gemini providers (#46585) 
* test(integration): add rich anthropic claude haiku 5.5, opus 5.5 and fable 5.1 translation cases

Capture-backed basic cases on /v1/chat/completions, /v1/messages and /v1/responses for claude-haiku-5-5, claude-opus-5-5 and claude-fable-5-1, reusing the shared client templates and ANTHROPIC_MESSAGES_REQUEST/RESPONSE with model-specific id, content and usage overrides. The minimal Opus 5.5 hello cases are replaced by the rich conversation. Sonnet 5.5 and legacy models are unchanged

* test(translation): rich OpenAI captures for gpt-6.1-sol, gpt-6-luna, gpt-6-astra and gpt-5.6-terra

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(translation): rich Azure gpt-6.1-sol, gpt-6-luna, gpt-6-astra and gpt-5.6-terra cases

* test(translation): rich azure_ai Claude cases for haiku-5-5 and fable-5-1

Bind the shared chat_completions, messages and responses client templates and the anthropic provider templates to azure_ai/claude-haiku-5-5 and azure_ai/claude-fable-5-1 from real Azure AI Foundry captures, keeping the Azure dialect exact (/anthropic/v1/messages, x-api-key plus api-key on chat_completions and responses, system as a text block list on /v1/messages). Add prompt_cache_hit variants for both models from the second call inside the cache window. The two deployments need rows in tests/integration/proxy_config.yaml

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(translation): rich Gemini bases for gemini-3.8-flash, gemini-3.1-pro-preview and gemini-4-argon

Add the shared generateContent provider templates in templates/gemini.py from
real captures and bind the three target models on chat completions, messages
and responses with explicit per-model response overrides. gemini-4-argon is
registered in the three basic lists. gemini-3.5-flash is unchanged

* test(translation): enrich vertex_ai claude and gemini cases from live captures

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* test(integration): rich Bedrock converse, invoke and mantle translation cases from real captures

* test(integration): register the rich translation deployments and follow the rich Gemini 3.8 Flash cases

Add the synthetic deployments the rich provider cases bind (anthropic, openai, azure, azure_ai, gemini, vertex_ai, bedrock converse, invoke and mantle) to tests/integration/proxy_config.yaml, all pointed at the fake provider on 127.0.0.1:8191 with synthetic keys. The Gemini omitted-temperature contract now takes its expected generationConfig and reply text from the rich GEMINI_3_8_FLASH_TEST_CASE literals instead of the retired minimal hello cases

* test(translation): reuse bridged and native response templates

---------

Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: kerry <kerry@berri.ai>
2026-10-14 19:53:09 -07:00

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from typing import Final
from integration.translation.case import TranslationTestCase
from integration.translation.messages.templates import MESSAGES_BRIDGE_RESPONSE, MESSAGES_REQUEST
from integration.translation.templates.openai import OPENAI_RESPONSES_REQUEST_FROM_MESSAGES, OPENAI_RESPONSES_RESPONSE
GPT_5_4_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={
"model": "openai/gpt-5.4",
"max_tokens": 64,
"system": "You are a terse assistant.",
"messages": [{"role": "user", "content": "Say hello."}],
"cache": {"no-cache": True},
},
expected_provider_endpoint="/responses",
expected_provider_headers={"content-type": "application/json", "authorization": "Bearer synthetic-openai-key"},
expected_provider_request={
"model": "gpt-5.4",
"input": [{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Say hello."}]}],
"include": ["reasoning.encrypted_content"],
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
},
mock_provider_response={
"id": "resp_0d51005efcef0683006ac3f00d0a3087d098c079bde6c6ee3c",
"object": "response",
"created_at": 1791225869,
"status": "completed",
"access_programs": {"cyber": "daybreak_blue"},
"background": False,
"billing": {"payer": "developer"},
"completed_at": 1791225869,
"error": None,
"frequency_penalty": 0.0,
"incomplete_details": None,
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
"max_tool_calls": None,
"model": "gpt-5.4-2026-03-05",
"moderation": None,
"output": [
{
"id": "msg_0d51005efcef0683006ac3f00d8dc487d0aac89eb25a71a11f",
"type": "message",
"status": "completed",
"content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": "Hello."}],
"phase": "final_answer",
"role": "assistant",
}
],
"parallel_tool_calls": True,
"presence_penalty": 0.0,
"previous_response_id": None,
"prompt_cache_key": None,
"prompt_cache_retention": "24h",
"reasoning": {"context": "current_turn", "effort": "none", "mode": "standard", "summary": None},
"safety_identifier": None,
"service_tier": "default",
"store": True,
"temperature": 1.0,
"text": {"format": {"type": "text"}, "verbosity": "medium"},
"tool_choice": "auto",
"tool_usage": {
"image_gen": {
"input_tokens": 0,
"input_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"output_tokens": 0,
"output_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"total_tokens": 0,
},
"web_search": {"num_requests": 0},
},
"tools": [],
"top_logprobs": 0,
"top_p": 0.98,
"truncation": "disabled",
"usage": {
"input_tokens": 19,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 6,
"output_tokens_details": {"reasoning_tokens": 0},
"total_tokens": 25,
},
"user": None,
"metadata": {},
},
expected_litellm_response={
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDo3NGI3ZDQzZjBmNjQ1MjlkYWY4NWQ4MjRmNjE3ZGYzNDRjZTdhNGI3NjI3YTYzMDMzZGUzMDVmNTE2NTRlZjc2O3Jlc3BvbnNlX2lkOnJlc3BfMGQ1MTAwNWVmY2VmMDY4MzAwNmFjM2YwMGQwYTMwODdkMDk4YzA3OWJkZTZjNmVlM2M=",
"type": "message",
"role": "assistant",
"model": "openai/gpt-5.4",
"stop_sequence": None,
"usage": {"input_tokens": 19, "output_tokens": 6},
"content": [{"type": "text", "text": "Hello."}],
"stop_reason": "end_turn",
"stop_details": None,
},
)
GPT_5_6_SOL_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={
"model": "openai/gpt-5.6-sol",
"max_tokens": 64,
"system": "You are a terse assistant.",
"messages": [{"role": "user", "content": "Say hello."}],
"cache": {"no-cache": True},
},
expected_provider_endpoint="/responses",
expected_provider_headers={"content-type": "application/json", "authorization": "Bearer synthetic-openai-key"},
expected_provider_request={
"model": "gpt-5.6-sol",
"input": [{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Say hello."}]}],
"include": ["reasoning.encrypted_content"],
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
},
mock_provider_response={
"id": "resp_006b1d3db27ce558006ac3f0119c5887d0b0fda575ab760d9d",
"object": "response",
"created_at": 1791225873,
"status": "completed",
"access_programs": {"cyber": "daybreak_blue"},
"background": False,
"billing": {"payer": "developer"},
"completed_at": 1791225874,
"error": None,
"frequency_penalty": 0.0,
"incomplete_details": None,
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
"max_tool_calls": None,
"model": "gpt-5.6-sol",
"moderation": None,
"output": [
{
"id": "msg_006b1d3db27ce558006ac3f012169487d0b3574a945281b342",
"type": "message",
"status": "completed",
"content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": "Hello."}],
"phase": "final_answer",
"role": "assistant",
}
],
"parallel_tool_calls": True,
"presence_penalty": 0.0,
"previous_response_id": None,
"prompt_cache_key": None,
"prompt_cache_retention": "24h",
"reasoning": {"context": "all_turns", "effort": "medium", "mode": "standard", "summary": None},
"safety_identifier": None,
"service_tier": "default",
"store": True,
"temperature": 1.0,
"text": {"format": {"type": "text"}, "verbosity": "medium"},
"tool_choice": "auto",
"tool_usage": {
"image_gen": {
"input_tokens": 0,
"input_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"output_tokens": 0,
"output_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"total_tokens": 0,
},
"web_search": {"num_requests": 0},
},
"tools": [],
"top_logprobs": 0,
"top_p": 0.98,
"truncation": "disabled",
"usage": {
"input_tokens": 19,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 6,
"output_tokens_details": {"reasoning_tokens": 0},
"total_tokens": 25,
},
"user": None,
"metadata": {},
},
expected_litellm_response={
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDplNDZkYjA4Yjk5OGY1YmZmMTFhYTViNWIxMjJkMGQxZGVhZDM5MzI2MWZlZDU2OTc3M2FmOTNlMzBlYTMzNTc4O3Jlc3BvbnNlX2lkOnJlc3BfMDA2YjFkM2RiMjdjZTU1ODAwNmFjM2YwMTE5YzU4ODdkMGIwZmRhNTc1YWI3NjBkOWQ=",
"type": "message",
"role": "assistant",
"model": "openai/gpt-5.6-sol",
"stop_sequence": None,
"usage": {"input_tokens": 19, "output_tokens": 6},
"content": [{"type": "text", "text": "Hello."}],
"stop_reason": "end_turn",
"stop_details": None,
},
)
GPT_5_6_LUNA_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={
"model": "openai/gpt-5.6-luna",
"max_tokens": 64,
"system": "You are a terse assistant.",
"messages": [{"role": "user", "content": "Say hello."}],
"cache": {"no-cache": True},
},
expected_provider_endpoint="/responses",
expected_provider_headers={"content-type": "application/json", "authorization": "Bearer synthetic-openai-key"},
expected_provider_request={
"model": "gpt-5.6-luna",
"input": [{"type": "message", "role": "user", "content": [{"type": "input_text", "text": "Say hello."}]}],
"include": ["reasoning.encrypted_content"],
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
},
mock_provider_response={
"id": "resp_0fc0133ee7ba1828006ac3f015182c87d0bbc9b785a3a5a335",
"object": "response",
"created_at": 1791225877,
"status": "completed",
"access_programs": {"cyber": "daybreak_blue"},
"background": False,
"billing": {"payer": "developer"},
"completed_at": 1791225877,
"error": None,
"frequency_penalty": 0.0,
"incomplete_details": None,
"instructions": "You are a terse assistant.",
"max_output_tokens": 64,
"max_tool_calls": None,
"model": "gpt-5.6-luna",
"moderation": None,
"output": [
{
"id": "msg_0fc0133ee7ba1828006ac3f015b22887d090ad19f7bfc86fd3",
"type": "message",
"status": "completed",
"content": [{"type": "output_text", "annotations": [], "logprobs": [], "text": "Hello!"}],
"phase": "final_answer",
"role": "assistant",
}
],
"parallel_tool_calls": True,
"presence_penalty": 0.0,
"previous_response_id": None,
"prompt_cache_key": None,
"prompt_cache_retention": "24h",
"reasoning": {"context": "all_turns", "effort": "medium", "mode": "standard", "summary": None},
"safety_identifier": None,
"service_tier": "default",
"store": True,
"temperature": 1.0,
"text": {"format": {"type": "text"}, "verbosity": "medium"},
"tool_choice": "auto",
"tool_usage": {
"image_gen": {
"input_tokens": 0,
"input_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"output_tokens": 0,
"output_tokens_details": {"image_tokens": 0, "text_tokens": 0},
"total_tokens": 0,
},
"web_search": {"num_requests": 0},
},
"tools": [],
"top_logprobs": 0,
"top_p": 0.98,
"truncation": "disabled",
"usage": {
"input_tokens": 19,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 6,
"output_tokens_details": {"reasoning_tokens": 0},
"total_tokens": 25,
},
"user": None,
"metadata": {},
},
expected_litellm_response={
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDo1MGY4ZWQzY2Q2ZWQ0NWFlMGQ3YWYxODI5YTJiNzg5M2I3ZWIxMjA5MTQ2Mzk5MTMyMGMwODFlNzE1NTc2OTM2O3Jlc3BvbnNlX2lkOnJlc3BfMGZjMDEzM2VlN2JhMTgyODAwNmFjM2YwMTUxODJjODdkMGJiYzliNzg1YTNhNWEzMzU=",
"type": "message",
"role": "assistant",
"model": "openai/gpt-5.6-luna",
"stop_sequence": None,
"usage": {"input_tokens": 19, "output_tokens": 6},
"content": [{"type": "text", "text": "Hello!"}],
"stop_reason": "end_turn",
"stop_details": None,
},
)
GPT_6_LUNA_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={**MESSAGES_REQUEST, "model": "openai/gpt-6-luna"},
expected_provider_endpoint="/responses",
expected_provider_headers={
"content-type": "application/json",
"authorization": "Bearer synthetic-openai-key",
},
expected_provider_request={**OPENAI_RESPONSES_REQUEST_FROM_MESSAGES, "model": "gpt-6-luna"},
mock_provider_response={
**OPENAI_RESPONSES_RESPONSE,
"model": "gpt-6-luna",
"id": "resp_03ec491c5caae029006ad0239c083487d099a21d60be6b5fde",
"created_at": 1792025500,
"access_programs": {"cyber": "daybreak_blue"},
"completed_at": 1792025503,
"instructions": (
"You help maintain a synthetic Python project. Read the relevant files before suggesting a fix. "
"Explain which file you need next, then call a read-only tool. Never change files. Use the "
"messages client for this project review. Consider zero, negative and non-integer quantities "
"before choosing the next file to inspect."
),
"output": [
{
"id": "rs_03ec491c5caae029006ad0239c80c487d0b425db4d74878ab3",
"type": "reasoning",
"content": [],
"encrypted_content": "gAAAAABq0COfZvmrZboi5Ffbs6U_yMF1jaQmGVq5BnqydEOn98Tt_afVrM4H653kYvwFlbyesZJUOa4MLSEHMVc5ZNHlI88WpsGB2C0cdOmXO-S8Xz2wv2TYaf-d7ux1ejKPGkbop3sk2yS2XxQahiybVv5r_opD4YkEVxPoKhnVTfNF0bcglJj1JQbXYSE5qNyAVFeO6kkYN_sRP628gc_-txGgIgJbLn-uTsZ_3aQZ8TmejJJaiXLcauCUyCnYHtw0BncdwxaRiDsAUhrL_HuwLgGc3KHP0mc_IjapNLhVAcqeihSO4rmidsYX6Y7bjb4yhqPqE0-NnPZRO8BOcpIb-qU89htZHrkaSA_MrZj2FD4fk8_btQHTF9C9hM-UjRUJxqMtyuOyNMZdWjBgErNoCzslro-Sty8pWlIYRjzOlQQHZLBrC3EuKvOTEBNNjWXeRCGwZTZR6C5SyE0mj11YCwi67QeYfp8ujvrziJq1Bt7u78vnlPY8bMd0AUz0SURgP2jnlreu11EMWZuR-u6ZMLqyu1HeunBMs82y-5ef37g3evBV7Ym6AjwsiP0SqTM3KeaY5HMkgaZi9G2gwO2g8ZkLsJpy-Bk01KwNYD7QXAxrUXziEAzby_AqAOOZ9_w5mkZSSoJuelWs6nB4stKCaj8lXIanf58DkNjze2Ocd9irMxIz4HUzXcYWyjDa1-0isrR_gQiOWOaCzuIFWPcVrin4Mli-niDnPYcTnNkP4ab1jmTztYb74x2seE9d5voFc7suPLzmqGuFya8fx42A-i7EP-bXM1D5_fWiTAGWbappILLOJzs3ohcO0jBe1NkkxrfVMIJD5m7CVzmOQ5ydhyWHgSNRueFPE2Bz6wqmfnU7bzrAK8DOH1NiA1LMogV7iGBlu4egfKgs7B1m7u1x1YCG5OcBHbm_67VkxxhO95IfwYYEMawg-uxXYUbAx-L_vKnIpyKq1pSaKm-hsvGMm8MvxSviOD2xkxBHElb1rZ6tkWRdR60tSRELtad5F5ItHHZe27tq-XMFZAB2UwxtvwwTZ5wD2C5PmxREMk7XF_YFR8vdVdEqfaLelx6NoeARXQ5Hm7kdiPT33RAVtyvaXuOgAPt4afpmSb0_iW9VpyU7HnHStXoKdw8gWjW-BnjJ7ZDsqy-KFTRRlj8ikcR0pAFafz-GXmiyn7EVc7rfTFYNN7c91SADAhBg2Gtk1c5EGVLCa9uocAYan6MTkzb-bOorPCI-zE-rztEp9L2Lm1TfyUNEFaIRHuG7GAwIsKvnXBwJlwlJA5McCehhqc1V6-1kqcGFSenXBvzRdXr4Wh-hAqT5gZyG0bRQIVjAiITYCbeQtahw3ioGkxUwoTq0XRZPvy0_B71b76QSbEpnVYL0b5oaBia-4qy7tJpaRkhS6pDY3bjxgWt6yPzk6sTWr_Gbt-nMgxCpkHFYI_KMSI4XvOOcPkNGgVK7X278xisXj3cx72rSaBhpRlNKkEtqsIxDTHOWNk9NZooClcTlTrHPPjo0D_3nLMdw94z5V-x0qsRsk3YrUzfIMUPeBV5ctPo5shpr4ycmLPhrnbT5U4FeaZ27AdgFDuhAeXb6AYPJ6VfOVcyZUibLQ50l2XtxjTP0uiM3fMt_7TiyYjQL_3cBv-vQRViXQyI7_7glU0b9EK-SEfl_6f9NRqWiLabP_bb0ZIrGItQ2DxEJpUmhRAErRlq0a5rlnt-We644LT-i8dvBybsnbbkwV8mqRQrAWCFHrCzPALskgmzRpuUaVBXtBhPKkUKnpwav-TseWr-Pog2iLNNfBD37EAQMPsnslLhuNeZ7-bnNJCerPiiCuNJaPd2Iy71quHCOznW7PDajSa4XvFv3GPeT_WluUD_hPRnDxFR0pFX266UJcNcNmP62ogUtfIByf5dyuwvQAFBk0Tplox1U08fKo8KabYWYVzEYQ9XiLXWgq1OSLdc9teuPP5_aFTL2VjvLgIJ8E8H8xhbk9qnPFvng0e-twGn_rKbEqIceWJ7wVqJSTMAqjJy8nBDelgPWCJVVXQ3NAgGlcAUHO0wv-9YGagfklvXrDfMrjKF8Y9YVqmg8a6FFFmCykZSmiCl-MwjHhxO9c1SlT4pDN3c5dt-V9lYGkGv-K1j392wPZOxnoH92AhX1k-lJirRrgMSj6TgQuUQynaxTL01zwD1ilNuAa6966U-KP7V5peoq-4oENlEhhRdW8HjoHl1jQlP00_7K2f5TFmzKyNPHxq7londzlTpautQp59102404xO7CRjTq4hncweSopzlR0CsSQZmy9ZDwbfOIQczBwY1lwfLvlEflZAzRgDPu-CcXTLivLNmHlXKKBKHQd35sxO3KDmgscSZuO61DvEE3SvWK_XYA46vSSHa4OSWZG1V7IDJHddPQJ65kWHbHfxCVhPY_yH52_jtgjOTUBRt_3mMFizWGenQY-tpWoe7Fy-Ex9vzXGDPi-D9QlmluqCZ1Oj0hv5LJbv65AAh5sLSR2lb_Gs1lEI8_ZMoypadUWUTAdiIQqx4nEDn6Yf9oSWVGxiPxgPlFcn_Upkf0MZqookTf7ZVlpgon2lA5MRP9O3-V9EdU8WsAfw2VV3UlygpAOHs0UQA0C691CY3PHjckcRonszezCd2JPmPlIdm-gh2aubk2IUE9NMaVdgRtc-8ysv7GHnGCvmp8FKDS5f4XytuXO_hEOOn5T8Ug-iENW4WOkIJ0jbtmz15NITlrVbPAnGhMSW0y6BfsSn-b9kloFDCA-Mbb4S-IMY8v80M4OkuhV83WPHsXl3yFEiokO02MphzPvhjoixb4OhnsTKG9vUyw4E4wJgGlxGSczNdkBcqiRISJviiRAxnpPQ4XEQ-RkuOjs1AB_cegluyWezH5LovF4S598IJYOAi1oL6Txe0gw4kJVhBmG2hKBscezt30Deu26Qx3Etk9cN3XMirfot7dBoyNZS1Jj2fpsoMbPpxwLhsIIWbWUuN2nKDqDrK199AzGD8-lki0LZh0QOxBcqbtgDDMWp_BpUtutFWL6TZm8DObtIbl4fGy12y1t4kaN-E9mLpzXQXOVjrUbP_tQlNZk7p5YOTeV_NnpunzpNpAbHXXQIukQ1xOlGvHFZ6CRFC-Yknx72aizrZf6aZH_gy9pWKmOhdqWFQ2PJLqGVLIo3mS4yoFC04AivGXdAjdrZB7odufujij9dspXWBO4Tv-dzL29O-j6p-eT6y0HuKachlFpLKpJxzsjIU1DjX0P_0pSVhemfpZDh_nV9eC2w7XNm6logVPIolXiQeypd70LOKnb-wGwxRNlcus6BUSF_BIlplV1S0TTne5PgYU3OCuOPJAwSEW0Q0lkm3lTU8nLyiQd25bV5UeD2wPvxACIPM7_cUyoGkSQ96Ip-NM607-e912AEVR93ZIVK-UHcu8MxSwWCykNaokgs4mEVK5QkY=",
"summary": [],
},
{
"id": "msg_03ec491c5caae029006ad0239e411c87d0bfb3c2c04bc6cd9c",
"type": "message",
"status": "completed",
"content": [
{
"type": "output_text",
"annotations": [],
"logprobs": [],
"text": "I need `shop/validation.py` next to see how it treats zero, negative, and "
"non-integer quantities.",
}
],
"phase": "commentary",
"role": "assistant",
},
{
"id": "fc_03ec491c5caae029006ad0239e978c87d0a3ad2d7a8026ad6f",
"type": "function_call",
"status": "completed",
"arguments": '{"path":"shop/validation.py","start_line":1,"end_line":120}',
"call_id": "call_6JuM80yE9acKhYmgxQKWll9Z",
"name": "read_file",
},
],
"tools": [
{
"type": "function",
"description": "Search source and test files for a literal term.",
"name": "search_files",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"paths": {"type": "array", "items": {"type": "string"}},
},
"required": ["query", "paths"],
"additionalProperties": False,
},
"strict": False,
},
{
"type": "function",
"description": "Read a range of lines from a project file.",
"name": "read_file",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"path": {"type": "string"},
"start_line": {"type": "integer", "minimum": 1},
"end_line": {"type": "integer", "minimum": 1},
},
"required": ["path", "start_line", "end_line"],
"additionalProperties": False,
},
"strict": False,
},
],
"usage": {
"input_tokens": 309,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 214,
"output_tokens_details": {"reasoning_tokens": 150},
"total_tokens": 523,
},
},
expected_litellm_response={
**MESSAGES_BRIDGE_RESPONSE,
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDo0ZmY4OWU3OTgyMGFkZDVjMmM1ZmZlM2MyODk4ZDNkOGEzZDczY2IxY2ExN2JmZGMxYTRmNTRlZmFlNzhkMTIzO3Jlc3BvbnNlX2lkOnJlc3BfMDNlYzQ5MWM1Y2FhZTAyOTAwNmFkMDIzOWMwODM0ODdkMDk5YTIxZDYwYmU2YjVmZGU=",
"model": "openai/gpt-6-luna",
"usage": {"input_tokens": 309, "output_tokens": 214},
"content": [
{
"type": "redacted_thinking",
"data": "litellm_encrypted_reasoning:gAAAAABq0COfZvmrZboi5Ffbs6U_yMF1jaQmGVq5BnqydEOn98Tt_afVrM4H653kYvwFlbyesZJUOa4MLSEHMVc5ZNHlI88WpsGB2C0cdOmXO-S8Xz2wv2TYaf-d7ux1ejKPGkbop3sk2yS2XxQahiybVv5r_opD4YkEVxPoKhnVTfNF0bcglJj1JQbXYSE5qNyAVFeO6kkYN_sRP628gc_-txGgIgJbLn-uTsZ_3aQZ8TmejJJaiXLcauCUyCnYHtw0BncdwxaRiDsAUhrL_HuwLgGc3KHP0mc_IjapNLhVAcqeihSO4rmidsYX6Y7bjb4yhqPqE0-NnPZRO8BOcpIb-qU89htZHrkaSA_MrZj2FD4fk8_btQHTF9C9hM-UjRUJxqMtyuOyNMZdWjBgErNoCzslro-Sty8pWlIYRjzOlQQHZLBrC3EuKvOTEBNNjWXeRCGwZTZR6C5SyE0mj11YCwi67QeYfp8ujvrziJq1Bt7u78vnlPY8bMd0AUz0SURgP2jnlreu11EMWZuR-u6ZMLqyu1HeunBMs82y-5ef37g3evBV7Ym6AjwsiP0SqTM3KeaY5HMkgaZi9G2gwO2g8ZkLsJpy-Bk01KwNYD7QXAxrUXziEAzby_AqAOOZ9_w5mkZSSoJuelWs6nB4stKCaj8lXIanf58DkNjze2Ocd9irMxIz4HUzXcYWyjDa1-0isrR_gQiOWOaCzuIFWPcVrin4Mli-niDnPYcTnNkP4ab1jmTztYb74x2seE9d5voFc7suPLzmqGuFya8fx42A-i7EP-bXM1D5_fWiTAGWbappILLOJzs3ohcO0jBe1NkkxrfVMIJD5m7CVzmOQ5ydhyWHgSNRueFPE2Bz6wqmfnU7bzrAK8DOH1NiA1LMogV7iGBlu4egfKgs7B1m7u1x1YCG5OcBHbm_67VkxxhO95IfwYYEMawg-uxXYUbAx-L_vKnIpyKq1pSaKm-hsvGMm8MvxSviOD2xkxBHElb1rZ6tkWRdR60tSRELtad5F5ItHHZe27tq-XMFZAB2UwxtvwwTZ5wD2C5PmxREMk7XF_YFR8vdVdEqfaLelx6NoeARXQ5Hm7kdiPT33RAVtyvaXuOgAPt4afpmSb0_iW9VpyU7HnHStXoKdw8gWjW-BnjJ7ZDsqy-KFTRRlj8ikcR0pAFafz-GXmiyn7EVc7rfTFYNN7c91SADAhBg2Gtk1c5EGVLCa9uocAYan6MTkzb-bOorPCI-zE-rztEp9L2Lm1TfyUNEFaIRHuG7GAwIsKvnXBwJlwlJA5McCehhqc1V6-1kqcGFSenXBvzRdXr4Wh-hAqT5gZyG0bRQIVjAiITYCbeQtahw3ioGkxUwoTq0XRZPvy0_B71b76QSbEpnVYL0b5oaBia-4qy7tJpaRkhS6pDY3bjxgWt6yPzk6sTWr_Gbt-nMgxCpkHFYI_KMSI4XvOOcPkNGgVK7X278xisXj3cx72rSaBhpRlNKkEtqsIxDTHOWNk9NZooClcTlTrHPPjo0D_3nLMdw94z5V-x0qsRsk3YrUzfIMUPeBV5ctPo5shpr4ycmLPhrnbT5U4FeaZ27AdgFDuhAeXb6AYPJ6VfOVcyZUibLQ50l2XtxjTP0uiM3fMt_7TiyYjQL_3cBv-vQRViXQyI7_7glU0b9EK-SEfl_6f9NRqWiLabP_bb0ZIrGItQ2DxEJpUmhRAErRlq0a5rlnt-We644LT-i8dvBybsnbbkwV8mqRQrAWCFHrCzPALskgmzRpuUaVBXtBhPKkUKnpwav-TseWr-Pog2iLNNfBD37EAQMPsnslLhuNeZ7-bnNJCerPiiCuNJaPd2Iy71quHCOznW7PDajSa4XvFv3GPeT_WluUD_hPRnDxFR0pFX266UJcNcNmP62ogUtfIByf5dyuwvQAFBk0Tplox1U08fKo8KabYWYVzEYQ9XiLXWgq1OSLdc9teuPP5_aFTL2VjvLgIJ8E8H8xhbk9qnPFvng0e-twGn_rKbEqIceWJ7wVqJSTMAqjJy8nBDelgPWCJVVXQ3NAgGlcAUHO0wv-9YGagfklvXrDfMrjKF8Y9YVqmg8a6FFFmCykZSmiCl-MwjHhxO9c1SlT4pDN3c5dt-V9lYGkGv-K1j392wPZOxnoH92AhX1k-lJirRrgMSj6TgQuUQynaxTL01zwD1ilNuAa6966U-KP7V5peoq-4oENlEhhRdW8HjoHl1jQlP00_7K2f5TFmzKyNPHxq7londzlTpautQp59102404xO7CRjTq4hncweSopzlR0CsSQZmy9ZDwbfOIQczBwY1lwfLvlEflZAzRgDPu-CcXTLivLNmHlXKKBKHQd35sxO3KDmgscSZuO61DvEE3SvWK_XYA46vSSHa4OSWZG1V7IDJHddPQJ65kWHbHfxCVhPY_yH52_jtgjOTUBRt_3mMFizWGenQY-tpWoe7Fy-Ex9vzXGDPi-D9QlmluqCZ1Oj0hv5LJbv65AAh5sLSR2lb_Gs1lEI8_ZMoypadUWUTAdiIQqx4nEDn6Yf9oSWVGxiPxgPlFcn_Upkf0MZqookTf7ZVlpgon2lA5MRP9O3-V9EdU8WsAfw2VV3UlygpAOHs0UQA0C691CY3PHjckcRonszezCd2JPmPlIdm-gh2aubk2IUE9NMaVdgRtc-8ysv7GHnGCvmp8FKDS5f4XytuXO_hEOOn5T8Ug-iENW4WOkIJ0jbtmz15NITlrVbPAnGhMSW0y6BfsSn-b9kloFDCA-Mbb4S-IMY8v80M4OkuhV83WPHsXl3yFEiokO02MphzPvhjoixb4OhnsTKG9vUyw4E4wJgGlxGSczNdkBcqiRISJviiRAxnpPQ4XEQ-RkuOjs1AB_cegluyWezH5LovF4S598IJYOAi1oL6Txe0gw4kJVhBmG2hKBscezt30Deu26Qx3Etk9cN3XMirfot7dBoyNZS1Jj2fpsoMbPpxwLhsIIWbWUuN2nKDqDrK199AzGD8-lki0LZh0QOxBcqbtgDDMWp_BpUtutFWL6TZm8DObtIbl4fGy12y1t4kaN-E9mLpzXQXOVjrUbP_tQlNZk7p5YOTeV_NnpunzpNpAbHXXQIukQ1xOlGvHFZ6CRFC-Yknx72aizrZf6aZH_gy9pWKmOhdqWFQ2PJLqGVLIo3mS4yoFC04AivGXdAjdrZB7odufujij9dspXWBO4Tv-dzL29O-j6p-eT6y0HuKachlFpLKpJxzsjIU1DjX0P_0pSVhemfpZDh_nV9eC2w7XNm6logVPIolXiQeypd70LOKnb-wGwxRNlcus6BUSF_BIlplV1S0TTne5PgYU3OCuOPJAwSEW0Q0lkm3lTU8nLyiQd25bV5UeD2wPvxACIPM7_cUyoGkSQ96Ip-NM607-e912AEVR93ZIVK-UHcu8MxSwWCykNaokgs4mEVK5QkY=",
},
{
"type": "text",
"text": "I need `shop/validation.py` next to see how it treats zero, negative, and "
"non-integer quantities.",
},
{
"type": "tool_use",
"id": "call_6JuM80yE9acKhYmgxQKWll9Z",
"name": "read_file",
"input": {"path": "shop/validation.py", "start_line": 1, "end_line": 120},
},
],
},
)
GPT_6_1_SOL_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={**MESSAGES_REQUEST, "model": "openai/gpt-6.1-sol"},
expected_provider_endpoint="/responses",
expected_provider_headers={
"content-type": "application/json",
"authorization": "Bearer synthetic-openai-key",
},
expected_provider_request={**OPENAI_RESPONSES_REQUEST_FROM_MESSAGES, "model": "gpt-6.1-sol"},
mock_provider_response={
**OPENAI_RESPONSES_RESPONSE,
"model": "gpt-6.1-sol",
"id": "resp_0af67cb78bead2c6006ad023a7273487d0b1768b77f6956b73",
"created_at": 1792025511,
"completed_at": 1792025514,
"instructions": (
"You help maintain a synthetic Python project. Read the relevant files before suggesting a fix. "
"Explain which file you need next, then call a read-only tool. Never change files. Use the "
"messages client for this project review. Consider zero, negative and non-integer quantities "
"before choosing the next file to inspect."
),
"output": [
{
"id": "rs_0af67cb78bead2c6006ad023a85d5c87d0810de0f56bf80208",
"type": "reasoning",
"content": [],
"encrypted_content": "gAAAAABq0COqmCc2HPj-8NSt1bzfstH4-YXiTtNvZLyVMciprSqFmNbPXwcPXWrps8lsryqoAY5MuRQ_pO9yNIsCVBRlHXitSdObtJRB5Ld7TGQnbUekIsl2TNIFPsnnc8PYSdVrJlcG3FZmykyeSVHblM5F9SaPzHFzOfvCdYQtN52yt2lPhjYailjRidMwkl4KDGQ1BlcR3U29KKxo0020AqMMvsAht5kx5aAFaKfaIum5jctQrjgL8Y99h6sV3gc3LwI0W6ZR2IIqs6e6ADrVIGdVmSpn2GZTHmz6vUFaROU2-UTbVL7QrCy0BUg5CEqjnZ563lqsEYuWOxTVK0RXCPonWwmhfSllKffjLxtGuaq4dtl6v3lGIt-BW3-gJ1WqhtfTDV5VWTAliJhx09kgGhXz7VuxQRQMBSy--M9nBhdNJ1KfkbC0YDUcq5LT_cKh-KZU_-jNWCSQa7hvNJP-aCQ85oL-av-9fT5Wb5ovLUzELiBDooQLH8SalXQgFo-GX_wvSF-IH7byXwCka0F9fyIW6FjmRkirX8h_WF7pLDJeZDO5_8BWbxGOxDI6hEURHW9HLGG-e8S_lp1cVc7i37r-3KNqOwVlnlxEn2hj9TmDvTxRk4yv71AoSuwF8j3Wsh-im1HgmsNf9sdKZIZUTJTdvGCNuf54xXedUEdfoInFspUuiLXj_5KwWpckwJD0y1Fs8oEfTq2Y0Bn3LdBvwrAGgijcwnDsj6nRa2L9oMLrbHROG3xWIuTC6JyKIlVo8o7cGsM6XdxV6P9f3Wc-UgScNzc-fleF3oWzVq2gENtufLiwn9y3z1k_Hb62pbgIV6dmhLepqVH7WAyHajYt9GyxHB_FZbni-_rujbci3-3Jcj451W8PFg0TjhlyUzETBQwv6y6-zORZcbD7TqKe6XnUUGxHEMbPKBCmiIxOIUuOHpNOEjmdQpgOuPR16k_j0YjoA1gJJovIqwB1g6w44nebjzzsky0uRWmIhqeNaIFPPtIUDr05z1ocxgFeHJxum5YAh4d46vUY18dpffRyghwrd1rvIxk2EWW2rmruR4nEDTT405t3RX4kjnhGHuyShSLM_jinQm5LcpLDXUWgRnilpB1RVB8eZUSNYePAhgDRbacr8IC4AvQ7X8xUtcglbDJmMYQZQRFrkGfVoMUcyAkEJamLjccYDFrO5rxUFfyUHmGVxFUY85NW9XCwAFOx7h3606gjN9KVKQPMAg-dUnXbfhc4PCY3iRaS0djErOEugRN6f7iniy8td2YRI2WhPD5O1-qsvTDfiIhymTFq2L0v4f3UEeIa2wnfq4EdnAgla4D14w7T1D1Wg4SiP-dnF0_vKy8md5vlQjpbPGbYJkzB9DBNwJ8qR-7s1jCtZj2fViHuIGwTReI3OXUoeao4FHC8pndoAZbEpbTmax7BEYw7JqlUhIXWF2x8NzeYr-sjBbo1kbzKbtnidxOwrngjU428TzTPEjr9WA9VpmxXNoSOPL7I_qsN8ulnGegsnxQOEIarRK9CE7C8AwtMRMi8lClAFaMwMAoD8jWMNCSEa6mtyv08AikNCt3ij6cW2JszTRO3Qu4lRTsSnta41Qyk16Zc4xEPOs58PhY90t_atHYUWRpydUerE2nvRnPF9eTbQvSe8-iZ0BqkXqdlnVAAIzwOIfVZRua0p8eU3iPlzKteg9F02Jb5HkOsvi2Y4M-ZS5i0Tg4iOeuKHkeiFdZs6EMytIwz6lPGKLhYii6HW0Oe0KU_WQrIVNdXMcs5EWZGqMIdEhf09ZpO3ONcWIYswjgng6W8WMqwplHyHMcjnhzaVbIhs6rsVgTwGJawtbmD5q6aYnJCRq4zI68wzKOe7d6av8jwMGZS-dd8cdHj_XyShws1cWLhLJCaGW_vHKA0i-D1WTDeKSev31IQKCXBSRMB5URPkHu6dNDm1UyDiLGlJBx6iuKTizGeGhb4o2SQ1y1ISKyQRhKuNih0XgY40hn4x-6Scqu6_thPey-4F32BeTnbzNLGQ0wXE--dcIVRbAZMEB7wn7V4mRczG4gTG9ZnqarfZnHMPVUTZ0AxxZ2d_ifef1wQv9aRyKNRVLiBxvSqJtu7NnDMZT_U8mXCc_OIREi9wn-6esDbmxYYeBpNPR6Oq0fbsBbr--A_nVUz99MAAvkSnLhV3zdAHmMgjqNJNCmr2kPtGyle-GqdBx0LYQh4mtc5FdqLZUz9dz6gv_ERua952na3S1UnJr__8zVwofLEPGjiC5_g1nQuVCRE3QVSufMmw4gQL5kdUSuZGEm3RN__6DwAIS_X-E-aBv3utOMs92JWGandVEze8K7p4wQr3gSL5zlepjWHeYPZjiXCnGY=",
"summary": [],
},
{
"id": "msg_0af67cb78bead2c6006ad023a9b1e487d09ad5bb0d5cc96bde",
"type": "message",
"status": "completed",
"content": [
{
"type": "output_text",
"annotations": [],
"logprobs": [],
"text": "I’ll read `shop/validation.py` first to check how it handles zero, "
"negative, and non-integer quantities.",
}
],
"phase": "commentary",
"role": "assistant",
},
{
"id": "fc_0af67cb78bead2c6006ad023aa22c487d0b76512608a221ae3",
"type": "function_call",
"status": "completed",
"arguments": '{"path":"shop/validation.py","start_line":1,"end_line":200}',
"call_id": "call_H6dablHqZFScV63Y29mQXJvf",
"name": "read_file",
},
],
"tools": [
{
"type": "function",
"description": "Search source and test files for a literal term.",
"name": "search_files",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"paths": {"type": "array", "items": {"type": "string"}},
},
"required": ["query", "paths"],
"additionalProperties": False,
},
"strict": False,
},
{
"type": "function",
"description": "Read a range of lines from a project file.",
"name": "read_file",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"path": {"type": "string"},
"start_line": {"type": "integer", "minimum": 1},
"end_line": {"type": "integer", "minimum": 1},
},
"required": ["path", "start_line", "end_line"],
"additionalProperties": False,
},
"strict": False,
},
],
"usage": {
"input_tokens": 309,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 140,
"output_tokens_details": {"reasoning_tokens": 75},
"total_tokens": 449,
},
},
expected_litellm_response={
**MESSAGES_BRIDGE_RESPONSE,
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDphMTYxN2NmYzNlODRjNzYxNDdjNTgxMmFhMjIwNGU0MDczOTM0M2YyMTg4YzQxNzIxMzRlOTc1ZTQ0YzQ3MjgyO3Jlc3BvbnNlX2lkOnJlc3BfMGFmNjdjYjc4YmVhZDJjNjAwNmFkMDIzYTcyNzM0ODdkMGIxNzY4Yjc3ZjY5NTZiNzM=",
"model": "openai/gpt-6.1-sol",
"usage": {"input_tokens": 309, "output_tokens": 140},
"content": [
{
"type": "redacted_thinking",
"data": "litellm_encrypted_reasoning:gAAAAABq0COqmCc2HPj-8NSt1bzfstH4-YXiTtNvZLyVMciprSqFmNbPXwcPXWrps8lsryqoAY5MuRQ_pO9yNIsCVBRlHXitSdObtJRB5Ld7TGQnbUekIsl2TNIFPsnnc8PYSdVrJlcG3FZmykyeSVHblM5F9SaPzHFzOfvCdYQtN52yt2lPhjYailjRidMwkl4KDGQ1BlcR3U29KKxo0020AqMMvsAht5kx5aAFaKfaIum5jctQrjgL8Y99h6sV3gc3LwI0W6ZR2IIqs6e6ADrVIGdVmSpn2GZTHmz6vUFaROU2-UTbVL7QrCy0BUg5CEqjnZ563lqsEYuWOxTVK0RXCPonWwmhfSllKffjLxtGuaq4dtl6v3lGIt-BW3-gJ1WqhtfTDV5VWTAliJhx09kgGhXz7VuxQRQMBSy--M9nBhdNJ1KfkbC0YDUcq5LT_cKh-KZU_-jNWCSQa7hvNJP-aCQ85oL-av-9fT5Wb5ovLUzELiBDooQLH8SalXQgFo-GX_wvSF-IH7byXwCka0F9fyIW6FjmRkirX8h_WF7pLDJeZDO5_8BWbxGOxDI6hEURHW9HLGG-e8S_lp1cVc7i37r-3KNqOwVlnlxEn2hj9TmDvTxRk4yv71AoSuwF8j3Wsh-im1HgmsNf9sdKZIZUTJTdvGCNuf54xXedUEdfoInFspUuiLXj_5KwWpckwJD0y1Fs8oEfTq2Y0Bn3LdBvwrAGgijcwnDsj6nRa2L9oMLrbHROG3xWIuTC6JyKIlVo8o7cGsM6XdxV6P9f3Wc-UgScNzc-fleF3oWzVq2gENtufLiwn9y3z1k_Hb62pbgIV6dmhLepqVH7WAyHajYt9GyxHB_FZbni-_rujbci3-3Jcj451W8PFg0TjhlyUzETBQwv6y6-zORZcbD7TqKe6XnUUGxHEMbPKBCmiIxOIUuOHpNOEjmdQpgOuPR16k_j0YjoA1gJJovIqwB1g6w44nebjzzsky0uRWmIhqeNaIFPPtIUDr05z1ocxgFeHJxum5YAh4d46vUY18dpffRyghwrd1rvIxk2EWW2rmruR4nEDTT405t3RX4kjnhGHuyShSLM_jinQm5LcpLDXUWgRnilpB1RVB8eZUSNYePAhgDRbacr8IC4AvQ7X8xUtcglbDJmMYQZQRFrkGfVoMUcyAkEJamLjccYDFrO5rxUFfyUHmGVxFUY85NW9XCwAFOx7h3606gjN9KVKQPMAg-dUnXbfhc4PCY3iRaS0djErOEugRN6f7iniy8td2YRI2WhPD5O1-qsvTDfiIhymTFq2L0v4f3UEeIa2wnfq4EdnAgla4D14w7T1D1Wg4SiP-dnF0_vKy8md5vlQjpbPGbYJkzB9DBNwJ8qR-7s1jCtZj2fViHuIGwTReI3OXUoeao4FHC8pndoAZbEpbTmax7BEYw7JqlUhIXWF2x8NzeYr-sjBbo1kbzKbtnidxOwrngjU428TzTPEjr9WA9VpmxXNoSOPL7I_qsN8ulnGegsnxQOEIarRK9CE7C8AwtMRMi8lClAFaMwMAoD8jWMNCSEa6mtyv08AikNCt3ij6cW2JszTRO3Qu4lRTsSnta41Qyk16Zc4xEPOs58PhY90t_atHYUWRpydUerE2nvRnPF9eTbQvSe8-iZ0BqkXqdlnVAAIzwOIfVZRua0p8eU3iPlzKteg9F02Jb5HkOsvi2Y4M-ZS5i0Tg4iOeuKHkeiFdZs6EMytIwz6lPGKLhYii6HW0Oe0KU_WQrIVNdXMcs5EWZGqMIdEhf09ZpO3ONcWIYswjgng6W8WMqwplHyHMcjnhzaVbIhs6rsVgTwGJawtbmD5q6aYnJCRq4zI68wzKOe7d6av8jwMGZS-dd8cdHj_XyShws1cWLhLJCaGW_vHKA0i-D1WTDeKSev31IQKCXBSRMB5URPkHu6dNDm1UyDiLGlJBx6iuKTizGeGhb4o2SQ1y1ISKyQRhKuNih0XgY40hn4x-6Scqu6_thPey-4F32BeTnbzNLGQ0wXE--dcIVRbAZMEB7wn7V4mRczG4gTG9ZnqarfZnHMPVUTZ0AxxZ2d_ifef1wQv9aRyKNRVLiBxvSqJtu7NnDMZT_U8mXCc_OIREi9wn-6esDbmxYYeBpNPR6Oq0fbsBbr--A_nVUz99MAAvkSnLhV3zdAHmMgjqNJNCmr2kPtGyle-GqdBx0LYQh4mtc5FdqLZUz9dz6gv_ERua952na3S1UnJr__8zVwofLEPGjiC5_g1nQuVCRE3QVSufMmw4gQL5kdUSuZGEm3RN__6DwAIS_X-E-aBv3utOMs92JWGandVEze8K7p4wQr3gSL5zlepjWHeYPZjiXCnGY=",
},
{
"type": "text",
"text": "I’ll read `shop/validation.py` first to check how it handles zero, "
"negative, and non-integer quantities.",
},
{
"type": "tool_use",
"id": "call_H6dablHqZFScV63Y29mQXJvf",
"name": "read_file",
"input": {"path": "shop/validation.py", "start_line": 1, "end_line": 200},
},
],
},
)
GPT_6_ASTRA_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={**MESSAGES_REQUEST, "model": "openai/gpt-6-astra"},
expected_provider_endpoint="/responses",
expected_provider_headers={
"content-type": "application/json",
"authorization": "Bearer synthetic-openai-key",
},
expected_provider_request={**OPENAI_RESPONSES_REQUEST_FROM_MESSAGES, "model": "gpt-6-astra"},
mock_provider_response={
**OPENAI_RESPONSES_RESPONSE,
"model": "gpt-6-astra",
"id": "resp_0964a41f58153ac5006ad0238f9bc087d0a9e79fda375bee3c",
"created_at": 1792025487,
"completed_at": 1792025491,
"instructions": (
"You help maintain a synthetic Python project. Read the relevant files before suggesting a fix. "
"Explain which file you need next, then call a read-only tool. Never change files. Use the "
"messages client for this project review. Consider zero, negative and non-integer quantities "
"before choosing the next file to inspect."
),
"output": [
{
"id": "rs_0964a41f58153ac5006ad02391213887d0a1c21052bdd0c548",
"type": "reasoning",
"content": [],
"encrypted_content": "gAAAAABq0COTU7GaEIVpMk00EB_rxvW069YSty7ozHW12516PLbLq0b935jCB0GevftK_27zbuIgpBhSTV-H3eiUTLx-CrGm41k8lA9CdDmFNKWBGef5fUtpfXIKNAPT3WRIkUe6ZrrMCLRa3zMhaitRJjxMf8RWRQGf0LqeomxdgNtJPU_YjiG2gapnmiUh8KSlqt30UqjcUVgjbw6isCgofeLdsvBDjy1GWfE81FTcapzObq-LzPlR6Lw838JvbjKJmBaT6B-g3UIy4ZpHCEOsLKRHdlSG97KHy84JwcRU4W1GB259oCQmWs7TRyA8BJao1vs5JrCmT0XdABCyrhUOERc7d8N0qBri6XJaVz3v1FmUObP1oz4I7Z47lqjX0a32_keE4AqjTP2evWOvjOnGsH5PVMsWknZWuvmKMYZefWuy0d7L5IUpPZ9pL4oZDgygSTH4nQ5t1ZWeYDIOKDf4oB0aTHAfgLO_IS-XgbRNMloPbeRm4acU9BI9KqGZShTVhBX34ZEc4ov7hpSmzTSUl1ukSsUmmxHqNLtKbz5CAZaYbBFM53KAyS6Bkexp6F1y8z6zKmy-LFENx-W8bZQIVaYmFAWwajro57XZE3qugHkWwCTOrP1HANsXIXXZ0wYhUdgvDqLxeRkOcaw7DAINL8K6zK71wt7Qc_j177tZjIr9uxXzEpQ3mu2p7Ji-ZBR6YRYx9sNrS55Xt5iMZYhW1X73I04pXIR5xsGO7hWZV1cGXCpWBXJ5vmMfpi4AXERmas0PAnDXEX4CRtdXflugJw7AvYDq5nY24xDYdCV9DuFF4VBzUXrWHG29OWbVzGwIegWrBEXiNIEoL4vJ05l_SqljbzKZtDg0kvY-6DnV7NwBkCYk6UgfRvJ5h8IKb7KPj7qcUhI3Zi7WXQf4yk2tH_MnM713aQ4ywDQorMJfzTcs11TABEPUwyuWt5_IHLB76c6bK97Uf8N7PkgseQ3BmPf9COF0K2JpyyUxBQOn8V5KjMK_2VTLGHQYsMA3AnX13t-_cde99USqDGqQa67C0EcbIbmHsAuctgYQP1rA_1GUB7A6oY2e1RUSoTNR3agm1FOnvAsVIjU9RW65gsI0uyz1VyIh6ZN3Ju7nqWldSDh00hIqT9bX6ctkSCZjb0Juhws_7yD7mIrykX51AfijJqCxOwI4clnITCrt2SLjuviYKxzfjCvj95107ui2fNVyWj7ksEFOX4gyA23ANATQgCWO0ITxVGnYAmZpiBSUNiJYsRUtCT6qQ1-NULhAn9UWuQJROqfJ4zACjY34kD9TtGhaLXJpKJjGw-YZ1iDUPGRG0NqPLBvI__8abyYLvA_une1qnEE49xseuR5-9uC51CpWr-Z5r40Q-Ner12_Em0p52GP52w3R14BHbuKqIDG0I1Xd47LjoNRLx7p25iivbyrcq-veIQJfKIPs4DGoAFkSyJe7z1kIuThQlusfYSaMffWXsOyWGS5jLsPSF8bRyUdfpR28wUqvbwkQFXs_5GRJLzAtBLSIJRW_SZ4mCt65B4kzkwzXJJBPvrmx0Vh2_rz-eufHW3S5S4VPsQg6nED3PB213LNzlMwwcm1KuEj0CpUXbffrKslKhEFfIFDdMchXP99i9UteCUipYdAWcXZCRYhAgMWQMdmEVVxtQRM34D-YVonMxnCQivNWYp99EhWGBfZZ-ffKV9c2WWboXUpVV_Oj8tqDIADyvRzJOd2-dGpDY2OdMzG31-ADUK-bXg68gHNSMRubpwPi7h_GBfYzPFCOFl3xaGRGE-6CH7AtzvHkZvUnrq-N5ArEv6hdhBA3qQZIh0rlyLXgNLbNz2KnP8lD7SOnGGz2sHVXoXHpW4Zu8V0coR6bxlAJ4Q5BTpcygg0q_BBWL2gr8uhxmP95XE0ANrRX8anoFoOmpS75iAsxBmkjYw8XyLWKUTj_4api4Xb1826PVTRW5x2rScJzmjVLM9AI3QiT05WSXE68NwOTO3GtYkNhDZYzBV6Aoya9f4lJwQKK76mfF8HRUen1AK4fD1X7cyI9NX9kisBrPS9YplUqF0PyFUsrL1aH6DXXmgrnsQ_V7QkMPEVwzd7NEFhHf1VbuJVzWMwzGK5OqROKxCjAY1mb34iK2r6LytJ6pX-oBIzKE7XfxcVTzzOutKdVnp_I3O9uI-BG-5Xj3degzcAdOZZbiPXNmh0kERrBgE620s6bAGiG5OGIfpS5mu4JbA1wL1nBfAC_pgdgh-62Kgo2GunkczL8Zrddxj_Xia_VBDyk6ptWYhETE4P-WWq-3wS2kUKEtuf_VPij-xi2imKOoF-NaA6rDUSoEKxqndBJsAZlAQOfX1OvkN8q44Am4RiZkzEfQEbHlde7ziC1WCVU9zsjWXe8V4EJ78CxWENhtbmF3BhUHTYaywoItp0PhYf1l7FVI7FWxXQCOX5h5MvOIzr4nf-8dMyMRR7q35aHyosc6RqOGY6OofOBcDcqFHpHAcW602H-vS2_fj7fOqCqBDmqcmEriPIBFbczBbFFZQ==",
"summary": [],
},
{
"id": "msg_0964a41f58153ac5006ad02392bf8487d0ba759f0a48ebb3c9",
"type": "message",
"status": "completed",
"content": [
{
"type": "output_text",
"annotations": [],
"logprobs": [],
"text": "I’ll read `shop/validation.py` first to check how it handles zero, "
"negative, and non-integer quantities.\n",
}
],
"phase": "commentary",
"role": "assistant",
},
{
"id": "fc_0964a41f58153ac5006ad0239340f887d0a46fc41789aa1a55",
"type": "function_call",
"status": "completed",
"arguments": '{"path":"shop/validation.py","start_line":1,"end_line":200}',
"call_id": "call_eqYF3Vli8ZUYaCLw3MAUvxKq",
"name": "read_file",
},
],
"tools": [
{
"type": "function",
"description": "Search source and test files for a literal term.",
"name": "search_files",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string"},
"paths": {"type": "array", "items": {"type": "string"}},
},
"required": ["query", "paths"],
"additionalProperties": False,
},
"strict": False,
},
{
"type": "function",
"description": "Read a range of lines from a project file.",
"name": "read_file",
"output_schema": None,
"parameters": {
"type": "object",
"properties": {
"path": {"type": "string"},
"start_line": {"type": "integer", "minimum": 1},
"end_line": {"type": "integer", "minimum": 1},
},
"required": ["path", "start_line", "end_line"],
"additionalProperties": False,
},
"strict": False,
},
],
"usage": {
"input_tokens": 309,
"input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0},
"output_tokens": 152,
"output_tokens_details": {"reasoning_tokens": 87},
"total_tokens": 461,
},
},
expected_litellm_response={
**MESSAGES_BRIDGE_RESPONSE,
"id": "resp_bGl0ZWxsbTpjdXN0b21fbGxtX3Byb3ZpZGVyOm9wZW5haTttb2RlbF9pZDphODRkZDk3MTcwNzk0ZDlhYzQ5ODhlZWMzOTJmN2Q5YjQwN2MyNDY1YmJhZTA4MGE1ZGYzMThlOTViOTA2NzlkO3Jlc3BvbnNlX2lkOnJlc3BfMDk2NGE0MWY1ODE1M2FjNTAwNmFkMDIzOGY5YmMwODdkMGE5ZTc5ZmRhMzc1YmVlM2M=",
"model": "openai/gpt-6-astra",
"usage": {"input_tokens": 309, "output_tokens": 152},
"content": [
{
"type": "redacted_thinking",
"data": "litellm_encrypted_reasoning:gAAAAABq0COTU7GaEIVpMk00EB_rxvW069YSty7ozHW12516PLbLq0b935jCB0GevftK_27zbuIgpBhSTV-H3eiUTLx-CrGm41k8lA9CdDmFNKWBGef5fUtpfXIKNAPT3WRIkUe6ZrrMCLRa3zMhaitRJjxMf8RWRQGf0LqeomxdgNtJPU_YjiG2gapnmiUh8KSlqt30UqjcUVgjbw6isCgofeLdsvBDjy1GWfE81FTcapzObq-LzPlR6Lw838JvbjKJmBaT6B-g3UIy4ZpHCEOsLKRHdlSG97KHy84JwcRU4W1GB259oCQmWs7TRyA8BJao1vs5JrCmT0XdABCyrhUOERc7d8N0qBri6XJaVz3v1FmUObP1oz4I7Z47lqjX0a32_keE4AqjTP2evWOvjOnGsH5PVMsWknZWuvmKMYZefWuy0d7L5IUpPZ9pL4oZDgygSTH4nQ5t1ZWeYDIOKDf4oB0aTHAfgLO_IS-XgbRNMloPbeRm4acU9BI9KqGZShTVhBX34ZEc4ov7hpSmzTSUl1ukSsUmmxHqNLtKbz5CAZaYbBFM53KAyS6Bkexp6F1y8z6zKmy-LFENx-W8bZQIVaYmFAWwajro57XZE3qugHkWwCTOrP1HANsXIXXZ0wYhUdgvDqLxeRkOcaw7DAINL8K6zK71wt7Qc_j177tZjIr9uxXzEpQ3mu2p7Ji-ZBR6YRYx9sNrS55Xt5iMZYhW1X73I04pXIR5xsGO7hWZV1cGXCpWBXJ5vmMfpi4AXERmas0PAnDXEX4CRtdXflugJw7AvYDq5nY24xDYdCV9DuFF4VBzUXrWHG29OWbVzGwIegWrBEXiNIEoL4vJ05l_SqljbzKZtDg0kvY-6DnV7NwBkCYk6UgfRvJ5h8IKb7KPj7qcUhI3Zi7WXQf4yk2tH_MnM713aQ4ywDQorMJfzTcs11TABEPUwyuWt5_IHLB76c6bK97Uf8N7PkgseQ3BmPf9COF0K2JpyyUxBQOn8V5KjMK_2VTLGHQYsMA3AnX13t-_cde99USqDGqQa67C0EcbIbmHsAuctgYQP1rA_1GUB7A6oY2e1RUSoTNR3agm1FOnvAsVIjU9RW65gsI0uyz1VyIh6ZN3Ju7nqWldSDh00hIqT9bX6ctkSCZjb0Juhws_7yD7mIrykX51AfijJqCxOwI4clnITCrt2SLjuviYKxzfjCvj95107ui2fNVyWj7ksEFOX4gyA23ANATQgCWO0ITxVGnYAmZpiBSUNiJYsRUtCT6qQ1-NULhAn9UWuQJROqfJ4zACjY34kD9TtGhaLXJpKJjGw-YZ1iDUPGRG0NqPLBvI__8abyYLvA_une1qnEE49xseuR5-9uC51CpWr-Z5r40Q-Ner12_Em0p52GP52w3R14BHbuKqIDG0I1Xd47LjoNRLx7p25iivbyrcq-veIQJfKIPs4DGoAFkSyJe7z1kIuThQlusfYSaMffWXsOyWGS5jLsPSF8bRyUdfpR28wUqvbwkQFXs_5GRJLzAtBLSIJRW_SZ4mCt65B4kzkwzXJJBPvrmx0Vh2_rz-eufHW3S5S4VPsQg6nED3PB213LNzlMwwcm1KuEj0CpUXbffrKslKhEFfIFDdMchXP99i9UteCUipYdAWcXZCRYhAgMWQMdmEVVxtQRM34D-YVonMxnCQivNWYp99EhWGBfZZ-ffKV9c2WWboXUpVV_Oj8tqDIADyvRzJOd2-dGpDY2OdMzG31-ADUK-bXg68gHNSMRubpwPi7h_GBfYzPFCOFl3xaGRGE-6CH7AtzvHkZvUnrq-N5ArEv6hdhBA3qQZIh0rlyLXgNLbNz2KnP8lD7SOnGGz2sHVXoXHpW4Zu8V0coR6bxlAJ4Q5BTpcygg0q_BBWL2gr8uhxmP95XE0ANrRX8anoFoOmpS75iAsxBmkjYw8XyLWKUTj_4api4Xb1826PVTRW5x2rScJzmjVLM9AI3QiT05WSXE68NwOTO3GtYkNhDZYzBV6Aoya9f4lJwQKK76mfF8HRUen1AK4fD1X7cyI9NX9kisBrPS9YplUqF0PyFUsrL1aH6DXXmgrnsQ_V7QkMPEVwzd7NEFhHf1VbuJVzWMwzGK5OqROKxCjAY1mb34iK2r6LytJ6pX-oBIzKE7XfxcVTzzOutKdVnp_I3O9uI-BG-5Xj3degzcAdOZZbiPXNmh0kERrBgE620s6bAGiG5OGIfpS5mu4JbA1wL1nBfAC_pgdgh-62Kgo2GunkczL8Zrddxj_Xia_VBDyk6ptWYhETE4P-WWq-3wS2kUKEtuf_VPij-xi2imKOoF-NaA6rDUSoEKxqndBJsAZlAQOfX1OvkN8q44Am4RiZkzEfQEbHlde7ziC1WCVU9zsjWXe8V4EJ78CxWENhtbmF3BhUHTYaywoItp0PhYf1l7FVI7FWxXQCOX5h5MvOIzr4nf-8dMyMRR7q35aHyosc6RqOGY6OofOBcDcqFHpHAcW602H-vS2_fj7fOqCqBDmqcmEriPIBFbczBbFFZQ==",
},
{
"type": "text",
"text": "I’ll read `shop/validation.py` first to check how it handles zero, "
"negative, and non-integer quantities.\n",
},
{
"type": "tool_use",
"id": "call_eqYF3Vli8ZUYaCLw3MAUvxKq",
"name": "read_file",
"input": {"path": "shop/validation.py", "start_line": 1, "end_line": 200},
},
],
},
)
GPT_5_6_TERRA_TEST_CASE: Final = TranslationTestCase(
scenario="basic",
litellm_endpoint="/v1/messages",
litellm_request={**MESSAGES_REQUEST, "model": "openai/gpt-5.6-terra"},
expected_provider_endpoint="/responses",
expected_provider_headers={
"content-type": "application/json",
"authorization": "Bearer synthetic-openai-key",
},
expected_provider_request={**OPENAI_RESPONSES_REQUEST_FROM_MESSAGES, "model": "gpt-5.6-terra"},
mock_provider_response={
**OPENAI_RESPONSES_RESPONSE,
"model": "gpt-5.6-terra",
"id": "resp_08526ccab9aa653e006ad023884a1c87d09a23f6d5c61d65d3",
"created_at": 1792025480,
"access_programs": {"cyber": "daybreak_blue"},
"completed_at": 1792025481,
"instructions": (
"You help maintain a synthetic Python project. Read the relevant files before suggesting a fix. "
"Explain which file you need next, then call a read-only tool. Never change files. Use the "
"messages client for this project review. Consider zero, negative and non-integer quantities "
"before choosing the next file to inspect."
),
"output": [
{
"id": "rs_08526ccab9aa653e006ad02388d60087d0909f13870c67fc8c",
"type": "reasoning",
"content": [],
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