Files
new-api/relaykit/relayconvert/testdata/golden/response/openai_responses_to_claude.golden.json
T
Calcium-Ion 0ed497f066 feat(relay): hosted-tool conversion fidelity, reasoning normalization, and billing usage integrity (#7137)
* feat(relaykit): preserve hosted tools across conversions

- add protocol-neutral hosted-tool DTOs, conversion metadata, and loss policies
- bridge citations, grounding metadata, and hosted-tool stream lifecycles
- document the public conversion behavior and channel policy controls

* refactor(relaykit): normalize reasoning and thinking intent

- centralize provider-neutral reasoning intent, effort, and budget mappings
- parse model suffixes at the host entry boundary while preserving provider-owned tails
- keep adaptive Claude thinking and explicit zero-token compatibility consistent

* fix(billing): preserve authoritative usage across relay hops

- carry native BillingUsage sidecars through direct and streamed protocol bridges
- merge partial and terminal usage monotonically with safe fallback settlement
- retain cache metadata, penultimate usage, and per-call Gemini tool surcharges

* feat(relay): bridge Responses with Claude and Gemini protocols

- add direct request, response, and stream converters across supported relay formats
- expose Claude count_tokens and Chat-to-Responses compatibility endpoints
- carry conversion diagnostics through the host while retaining the curated public goldens

* fix(relay): wire relaykit conversions into host channels

- connect handlers, adaptors, and channel settings to the standalone conversion layer
- keep model mapping, pricing identity, retries, and provider-specific suffix behavior aligned
- ignore local audit artifacts and retain focused public regression coverage
2026-09-01 21:53:35 +08:00

60 lines
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JSON

{
"id": "resp_fixed",
"type": "message",
"role": "assistant",
"content": [
{
"type": "thinking",
"thinking": "Deep thought."
},
{
"type": "text",
"text": "The answer is 42."
},
{
"type": "tool_use",
"id": "call_abc",
"name": "get_weather",
"input": {
"city": "Paris"
}
}
],
"stop_reason": "tool_use",
"model": "gpt-test",
"usage": {
"input_tokens": 10,
"cache_creation_input_tokens": 0,
"cache_read_input_tokens": 0,
"output_tokens": 5,
"claude_cache_creation_5_m_tokens": 0,
"claude_cache_creation_1_h_tokens": 0,
"billing_usage": {
"source": "oai_responses",
"semantic": "openai",
"openai_usage": {
"prompt_tokens": 0,
"completion_tokens": 0,
"total_tokens": 15,
"prompt_tokens_details": {
"cached_tokens": 0,
"text_tokens": 0,
"audio_tokens": 0,
"image_tokens": 0
},
"completion_tokens_details": {
"text_tokens": 0,
"audio_tokens": 0,
"image_tokens": 0,
"reasoning_tokens": 0
},
"input_tokens": 10,
"output_tokens": 5,
"input_tokens_details": null,
"claude_cache_creation_5_m_tokens": 0,
"claude_cache_creation_1_h_tokens": 0
}
}
}
}