fix: align Profile authoring with compaction and reasoning contracts (T-710)
Resolve MR seq9 supported-compaction-fields and numeric-extraction-reasoning findings. Cover all canonical CompactionConfigPartial settings, token aliases and ratio helpers; accept string effort and signed integer extraction budgets without materializing editor defaults. Audit the remaining Profile field groups against their real serde contracts.
Share an actual-provider value corpus across native, generated WASM, and shared save/projection/verified Runtime archive consumption. Prove inline/import/patch exact values and effective Manifest settings; gate canonical compaction field coverage against serialization of the actual partial type. Keep prior scope union and worker/feature diagnostics fixes intact.
Validation: root cargo check; config-source40; unfiltered server644+11; Runtime340+17+17; API typescript77; Deno39; deno task check0/0; wasm32 release regeneration byte-identical with wasm-bindgen0.2.117/Binaryen132; cargo fmt/diff checks. Logs target/t710-contract-{check,config-source,server,api,runtime}.log. Reviewer seq9 independently confirmed seq3/5/7 resolution and correct main/relative-cwd routing. No target integration/ref mutations.
This commit is contained in:
@@ -0,0 +1,116 @@
|
||||
[
|
||||
{
|
||||
"name": "canonical_compaction_tokens",
|
||||
"profile": {
|
||||
"compaction": {
|
||||
"kind": "tokens",
|
||||
"prune_enabled": false,
|
||||
"prune_protected_tokens": 3000,
|
||||
"prune_min_savings": 1000,
|
||||
"threshold": 80000,
|
||||
"request_threshold": 90000,
|
||||
"retained_tokens": 12000,
|
||||
"overview_target_tokens": 1000,
|
||||
"overview_warning_tokens": 2000,
|
||||
"overview_deadline_tokens": 3000,
|
||||
"worker_context_max_tokens": 20000,
|
||||
"finish_warning_remaining_tokens": 1000,
|
||||
"final_reserve_tokens": 2000,
|
||||
"worker_max_turns": 5,
|
||||
"summary_target_tokens": 1000,
|
||||
"summary_max_tokens": 2000,
|
||||
"auto_read_budget_tokens": 500,
|
||||
"result_context_max_tokens": 4000,
|
||||
"model": { "ref": "codex-oauth/gpt-5.6-sol" }
|
||||
}
|
||||
},
|
||||
"manifest_expect": {
|
||||
"/compaction/prune_enabled": false,
|
||||
"/compaction/prune_protected_tokens": 3000,
|
||||
"/compaction/prune_min_savings": 1000,
|
||||
"/compaction/threshold": 80000,
|
||||
"/compaction/request_threshold": 90000,
|
||||
"/compaction/retained_tokens": 12000,
|
||||
"/compaction/overview_target_tokens": 1000,
|
||||
"/compaction/overview_warning_tokens": 2000,
|
||||
"/compaction/overview_deadline_tokens": 3000,
|
||||
"/compaction/worker_context_max_tokens": 20000,
|
||||
"/compaction/finish_warning_remaining_tokens": 1000,
|
||||
"/compaction/final_reserve_tokens": 2000,
|
||||
"/compaction/worker_max_turns": 5,
|
||||
"/compaction/summary_target_tokens": 1000,
|
||||
"/compaction/summary_max_tokens": 2000,
|
||||
"/compaction/auto_read_budget_tokens": 500,
|
||||
"/compaction/result_context_max_tokens": 4000,
|
||||
"/compaction/model/ref": "codex-oauth/gpt-5.6-sol"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "compaction_token_aliases_without_kind",
|
||||
"profile": {
|
||||
"compaction": {
|
||||
"compact_threshold": 80000,
|
||||
"compact_request_threshold": 90000,
|
||||
"compact_retained_tokens": 12000,
|
||||
"compact_worker_max_input_tokens": 20000,
|
||||
"compact_worker_max_turns": 5,
|
||||
"compact_auto_read_budget": 500
|
||||
}
|
||||
},
|
||||
"manifest_expect": {
|
||||
"/compaction/threshold": 80000,
|
||||
"/compaction/request_threshold": 90000,
|
||||
"/compaction/retained_tokens": 12000,
|
||||
"/compaction/worker_context_max_tokens": 20000,
|
||||
"/compaction/worker_max_turns": 5,
|
||||
"/compaction/auto_read_budget_tokens": 500
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "compaction_ratio_aliases",
|
||||
"profile": {
|
||||
"model": { "context_window": 100000 },
|
||||
"compaction": {
|
||||
"kind": "ratio",
|
||||
"threshold": 0.9,
|
||||
"request": 0.8,
|
||||
"worker": 0.2
|
||||
}
|
||||
},
|
||||
"manifest_expect": {
|
||||
"/compaction/threshold": 90000,
|
||||
"/compaction/request_threshold": 80000,
|
||||
"/compaction/worker_context_max_tokens": 20000
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "numeric_extraction_reasoning",
|
||||
"profile": {
|
||||
"engine": { "reasoning": -1 },
|
||||
"feature": {
|
||||
"memory": { "extraction": { "enabled": true, "reasoning": 4096 } },
|
||||
"subjektiv": { "extraction": { "enabled": true, "reasoning": 4096 } }
|
||||
}
|
||||
},
|
||||
"manifest_expect": {
|
||||
"/engine/reasoning": -1,
|
||||
"/feature/memory/profile/extraction/reasoning": 4096,
|
||||
"/feature/subjektiv/profile/extraction/reasoning": 4096
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "string_extraction_reasoning",
|
||||
"profile": {
|
||||
"feature": {
|
||||
"memory": { "extraction": { "enabled": true, "reasoning": "high" } },
|
||||
"subjektiv": {
|
||||
"extraction": { "enabled": true, "reasoning": "medium" }
|
||||
}
|
||||
}
|
||||
},
|
||||
"manifest_expect": {
|
||||
"/feature/memory/profile/extraction/reasoning": "high",
|
||||
"/feature/subjektiv/profile/extraction/reasoning": "medium"
|
||||
}
|
||||
}
|
||||
]
|
||||
@@ -9,7 +9,8 @@ let
|
||||
capability = Unknown; context_window = Int; max_context_window = Int;
|
||||
};
|
||||
Extraction = {
|
||||
enabled = Bool; model = Model; reasoning = String;
|
||||
# ReasoningControl accepts string effort or signed integer budget.
|
||||
enabled = Bool; model = Model; reasoning = Unknown;
|
||||
threshold = Int; worker_max_turns = Int;
|
||||
};
|
||||
# Profile scope accepts either a string intent or a table. Decodal 0.4 has
|
||||
@@ -56,9 +57,19 @@ let
|
||||
env = { inherit = [...String]; set = { ...Unknown }; };
|
||||
}]; };
|
||||
compaction = {
|
||||
# Token settings (CompactionConfigPartial) and ratio helper fields.
|
||||
# Threshold/context values accept integer tokens or numeric ratios.
|
||||
kind = String; threshold = Unknown; request_threshold = Unknown;
|
||||
prune_enabled = Bool; worker_context_max_tokens = Unknown;
|
||||
worker_max_turns = Int; model = Model;
|
||||
worker_context_max_tokens = Unknown; request = Unknown; worker = Unknown;
|
||||
prune_enabled = Bool; prune_protected_tokens = Int; prune_min_savings = Int;
|
||||
retained_tokens = Int;
|
||||
overview_target_tokens = Int; overview_warning_tokens = Int; overview_deadline_tokens = Int;
|
||||
finish_warning_remaining_tokens = Int; final_reserve_tokens = Int;
|
||||
worker_max_turns = Int; summary_target_tokens = Int; summary_max_tokens = Int;
|
||||
auto_read_budget_tokens = Int; result_context_max_tokens = Int; model = Model;
|
||||
# Supported token aliases remain authorable without rewriting recipes.
|
||||
compact_threshold = Int; compact_request_threshold = Int; compact_retained_tokens = Int;
|
||||
compact_worker_max_input_tokens = Int; compact_worker_max_turns = Int; compact_auto_read_budget = Int;
|
||||
};
|
||||
web = {
|
||||
enabled = Bool; allow_private_addresses = Bool;
|
||||
|
||||
Reference in New Issue
Block a user