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Separate model reasoning selections and reduce agent notification noise

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This commit is contained in:
rkw6086
2026-10-25 01:31:39 -05:00
parent 55eb87a983
commit 596b7266a4
19 changed files with 829 additions and 138 deletions
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app/src/ai/runtime/rig.rs
+21 -13
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@@ -307,7 +307,8 @@ pub(crate) async fn provider_runtime_for_request(
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
supports_system_messages: config.supports_system_messages,
}),
})
.with_reasoning_effort(config.reasoning_effort),
),
OpenAIProviderKind::ChatGPTSubscription => Arc::new(ChatGPTSubscriptionRuntime::new(
ChatGPTSubscriptionRuntimeConfig {
@@ -324,7 +325,8 @@ pub(crate) async fn provider_runtime_for_request(
api_key: credential.clone(),
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
});
})
.with_reasoning_effort(config.reasoning_effort);
if stored {
runtime = runtime.with_credential_resolver(Arc::new(move || {
Box::pin(crate::ai::claude_oauth::load_credential(credential.clone()))
@@ -332,17 +334,23 @@ pub(crate) async fn provider_runtime_for_request(
}
Arc::new(runtime)
}
OpenAIProviderKind::Gemini => Arc::new(GeminiRuntime::new(GeminiRuntimeConfig {
api_key: config.api_key.unwrap_or_default(),
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
})),
OpenAIProviderKind::VertexAI => Arc::new(VertexAiRuntime::new(VertexAiRuntimeConfig {
project_id: config.project_id.unwrap_or_default(),
location: config.location.unwrap_or_else(|| "global".to_string()),
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
})),
OpenAIProviderKind::Gemini => Arc::new(
GeminiRuntime::new(GeminiRuntimeConfig {
api_key: config.api_key.unwrap_or_default(),
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
})
.with_reasoning_effort(config.reasoning_effort),
),
OpenAIProviderKind::VertexAI => Arc::new(
VertexAiRuntime::new(VertexAiRuntimeConfig {
project_id: config.project_id.unwrap_or_default(),
location: config.location.unwrap_or_else(|| "global".to_string()),
model,
max_output_tokens: config.max_output_tokens.map(u64::from),
})
.with_reasoning_effort(config.reasoning_effort),
),
},
crate::ai::provider::ProviderConfig::Bedrock(config) => {
let max_output_tokens = Some(bedrock_max_output_tokens(&model));