use crate::{
transform::{Report, TransformError},
wire::{
claude::{count_tokens as cc, generate_content as c},
openai::responses::{generate as r, input as i},
},
};
pub(super) fn to_responses(
input: &c::GenerateContentRequestBody,
out: &mut r::GenerateContentRequestBody,
report: &mut Report,
) -> Result<(), TransformError> {
for (present, name) in [
(input.stop_sequences.is_some(), "stop_sequences"),
(input.container.is_some(), "container"),
(input.context_management.is_some(), "context_management"),
(
input.fallback_credit_token.is_some(),
"fallback_credit_token",
),
(input.fallbacks.is_some(), "fallbacks"),
(input.inference_geo.is_some(), "inference_geo"),
(input.speed.is_some(), "speed"),
(
input
.output_config
.as_ref()
.is_some_and(|v| v.task_budget.is_some()),
"task_budget",
),
] {
if present {
report.omitted(name, "field has no target representation");
}
}
out.max_output_tokens = Some(Some(input.max_tokens));
out.stream = input.stream.map(Some);
out.user = input
.metadata
.as_ref()
.and_then(|v| v.user_id.clone())
.map(Some);
out.service_tier = input.service_tier.map(|v| {
Some(match v {
c::ServiceTier::Auto => r::ServiceTier::Auto,
c::ServiceTier::StandardOnly => r::ServiceTier::Default,
})
});
let mut effort = input
.output_config
.as_ref()
.and_then(|v| v.effort)
.map(|v| match v {
cc::Effort::Low => i::ReasoningEffort::Low,
cc::Effort::Medium => i::ReasoningEffort::Medium,
cc::Effort::High => i::ReasoningEffort::High,
cc::Effort::Xhigh => i::ReasoningEffort::Xhigh,
cc::Effort::Max => i::ReasoningEffort::Max,
});
match &input.thinking {
Some(cc::ThinkingConfig::BetweenTools) => {
effort = Some(i::ReasoningEffort::None);
report.changed(
"thinking.type",
"between_tools mapped to no reasoning; target has no between-tool progress mode",
);
}
Some(cc::ThinkingConfig::Disabled(_)) => {
effort = Some(i::ReasoningEffort::None);
}
Some(cc::ThinkingConfig::Enabled(_)) => {
report.omitted("thinking.budget", "Responses has no token budget control");
}
Some(cc::ThinkingConfig::Adaptive(_)) if effort.is_none() => {
report.omitted(
"adaptive target reasoning effort",
"field has no target representation",
);
}
Some(cc::ThinkingConfig::Adaptive(_)) | None => {}
}
if let Some(effort) = effort {
out.reasoning = Some(Some(
i::ReasoningConfig::builder().effort(Some(effort)).build(),
));
}
let display = match &input.thinking {
Some(cc::ThinkingConfig::Adaptive(v)) => v.display,
Some(cc::ThinkingConfig::Enabled(v)) => v.display,
_ => None,
};
if matches!(
display,
Some(cc::ThinkingDisplay::Summarized | cc::ThinkingDisplay::Updates)
) {
out.reasoning
.get_or_insert_with(|| Some(i::ReasoningConfig::builder().build()))
.get_or_insert_with(|| i::ReasoningConfig::builder().build())
.summary = Some(Some(i::ReasoningSummary::Auto));
}
let current = input.output_config.as_ref().and_then(|v| v.format.as_ref());
if let Some(format) = current.or(input.output_format.as_ref()) {
if let Some(schema) = format.schema.as_object() {
out.text = Some(
i::TextConfig::builder()
.format(i::TextFormat::JsonSchema(
i::TextFormatJsonSchema::builder("claude_output".into(), schema.clone())
.strict(Some(true))
.build(),
))
.build(),
);
} else {
report.omitted("output_format", "target requires an object schema");
}
}
if input.diagnostics.is_some() {
report.omitted(
"advisory",
"Responses lacks Claude diagnostic request metadata",
);
}
Ok(())
}
pub(super) fn to_claude(
input: &r::GenerateContentRequestBody,
out: &mut c::GenerateContentRequestBody,
report: &mut Report,
) -> Result<(), TransformError> {
for (present, name) in [
(
input
.previous_response_id
.as_ref()
.and_then(Option::as_ref)
.is_some(),
"previous_response_id",
),
(
input
.conversation
.as_ref()
.and_then(Option::as_ref)
.is_some(),
"conversation",
),
(
input.prompt.as_ref().and_then(Option::as_ref).is_some(),
"prompt",
),
] {
if present {
report.omitted(
format!("{name} resolved history"),
"field has no target representation",
);
}
}
for (present, name) in [
(input.background.flatten() == Some(true), "background"),
(
input
.context_management
.as_ref()
.and_then(Option::as_ref)
.is_some(),
"context_management",
),
(input.max_tool_calls.flatten().is_some(), "max_tool_calls"),
(
input.moderation.as_ref().and_then(Option::as_ref).is_some(),
"moderation",
),
(input.store.flatten() == Some(true), "store"),
(
input.truncation.flatten() == Some(r::GenerateTruncation::Auto),
"truncation",
),
(input.top_logprobs.flatten().is_some(), "top_logprobs"),
] {
if present {
report.omitted(name, "field has no target representation");
}
}
out.stream = input.stream.flatten();
for (field, present) in [
(
"temperature",
input
.temperature
.as_ref()
.and_then(Option::as_ref)
.is_some(),
),
(
"top_p",
input.top_p.as_ref().and_then(Option::as_ref).is_some(),
),
] {
if present {
report.omitted(field, "Claude API 2026-10-21 rejects sampling parameters");
}
}
out.service_tier = match input.service_tier.flatten() {
None => None,
Some(r::ServiceTier::Auto) => Some(c::ServiceTier::Auto),
Some(r::ServiceTier::Default) => Some(c::ServiceTier::StandardOnly),
Some(
r::ServiceTier::Flex
| r::ServiceTier::Scale
| r::ServiceTier::Priority
| r::ServiceTier::Fast
| r::ServiceTier::Ultrafast,
) => {
report.omitted("service_tier", "Claude has no matching tier");
None
}
};
if let Some(Some(user)) = &input.user {
out.metadata = Some(c::Metadata::builder().user_id(user.clone()).build());
}
if let Some(config) = input.reasoning.as_ref().and_then(Option::as_ref) {
if config.mode.is_some()
|| config.context.as_ref().and_then(Option::as_ref).is_some()
|| config.summary.flatten().is_some()
|| config.generate_summary.flatten().is_some()
{
report.omitted("reasoning", "field has no target representation");
}
if let Some(effort) = config.effort.flatten() {
match effort {
i::ReasoningEffort::None => {
out.thinking = Some(cc::ThinkingConfig::Disabled(
cc::ThinkingDisabled::builder().build(),
))
}
i::ReasoningEffort::Minimal | i::ReasoningEffort::Numeric(_) => {
report.omitted("reasoning.effort", "Claude has no matching effort");
}
i::ReasoningEffort::Low
| i::ReasoningEffort::Medium
| i::ReasoningEffort::High
| i::ReasoningEffort::Xhigh
| i::ReasoningEffort::Max => {
let effort = match effort {
i::ReasoningEffort::Low => cc::Effort::Low,
i::ReasoningEffort::Medium => cc::Effort::Medium,
i::ReasoningEffort::High => cc::Effort::High,
i::ReasoningEffort::Xhigh => cc::Effort::Xhigh,
i::ReasoningEffort::Max => cc::Effort::Max,
i::ReasoningEffort::None
| i::ReasoningEffort::Minimal
| i::ReasoningEffort::Numeric(_) => unreachable!(),
};
out.output_config = Some(cc::OutputConfig::builder().effort(effort).build());
out.thinking = Some(cc::ThinkingConfig::Adaptive(
cc::ThinkingAdaptive::builder().build(),
));
}
}
}
}
if let Some(text) = &input.text {
if text.verbosity.flatten().is_some() {
report.omitted("text.verbosity", "field has no target representation");
}
if let Some(format) = &text.format {
match format {
i::TextFormat::Text(_) => {}
i::TextFormat::JsonObject(_) => {
report.omitted("text.format", "Claude has no matching format");
}
i::TextFormat::JsonSchema(schema) => {
out.output_format = Some(
cc::JsonOutputFormat::builder(
cc::JsonOutputFormatType::JsonSchema,
serde_json::Value::Object(schema.schema.clone()),
)
.build(),
);
report.changed(
"text.format",
"Claude enforces schema without separate name/description/strict wrapper",
);
}
}
}
}
for (present, name) in [
(input.metadata.is_some(), "metadata"),
(input.include.is_some(), "include"),
(input.prompt_cache_key.is_some(), "prompt_cache_key"),
(
input.prompt_cache_retention.is_some(),
"prompt_cache_retention",
),
(input.safety_identifier.is_some(), "safety_identifier"),
(input.stream_options.is_some(), "stream_options"),
] {
if present {
report.omitted(
name,
"Claude lacks equivalent metadata/delivery field; host retains invocation options",
);
}
}
Ok(())
}