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merge: codex gpt55 context window

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This commit is contained in:
Keisuke Hirata 2026-05-31 10:57:55 +09:00
commit 1c61cce2e7
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2 changed files with 7 additions and 6 deletions
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7
crates/provider/src/catalog.rs
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@ -442,17 +442,16 @@ mod tests {
} }
#[test] #[test]
fn context_window_is_clamped_by_catalog_backend_max() { fn codex_gpt55_catalog_records_effective_context_window() {
let providers = load_builtin_providers().unwrap(); let providers = load_builtin_providers().unwrap();
let models = load_builtin_models().unwrap(); let models = load_builtin_models().unwrap();
let manifest = ModelManifest { let manifest = ModelManifest {
ref_: Some("codex-oauth/gpt-5.5".into()), ref_: Some("codex-oauth/gpt-5.5".into()),
context_window: Some(1_000_000),
..Default::default() ..Default::default()
}; };
let cfg = resolve_with_catalogs(&manifest, &providers, &models).unwrap(); let cfg = resolve_with_catalogs(&manifest, &providers, &models).unwrap();
assert_eq!(cfg.context_window, 272_000); assert_eq!(cfg.context_window, 272_000);
assert_eq!(cfg.max_context_window, Some(272_000)); assert_eq!(cfg.max_context_window, None);
} }
#[test] #[test]
@ -473,7 +472,7 @@ mod tests {
} }
#[test] #[test]
fn manifest_backend_max_overrides_catalog_backend_max() { fn manifest_backend_max_clamps_ref_context_override() {
let providers = load_builtin_providers().unwrap(); let providers = load_builtin_providers().unwrap();
let models = load_builtin_models().unwrap(); let models = load_builtin_models().unwrap();
let manifest = ModelManifest { let manifest = ModelManifest {

6
resources/models/builtin.toml
View File

@ -32,8 +32,10 @@ context_window = 256000
[[model]] [[model]]
id = "gpt-5.5" id = "gpt-5.5"
provider = "codex-oauth" provider = "codex-oauth"
context_window = 1050000 # OpenAI docs advertise GPT-5.5 with a 1.05M context window, but Codex OAuth /
max_context_window = 272000 # ChatGPT backend access is effectively limited around 272k tokens; this
# provider-specific entry records that effective route limit directly.
context_window = 272000
capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } } capability = { tool_calling = "parallel", structured_output = "json_schema", reasoning = "effort", vision = true, prompt_caching = { kind = "auto" } }
[[model]] [[model]]