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feat(context): govern and enforce Agent context budgets #3759

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c208f2a
fix(model): harden context capacity budgets
JasonW404 Aug 22, 2026
798e3c7
fix(model): align capacity UI boundary validation
JasonW404 Aug 22, 2026
1408650
feat(models): govern context capacity metadata
JasonW404 Aug 24, 2026
22a5baa
feat(agent): meter final context requests
JasonW404 Aug 24, 2026
fa3a5d8
feat(context): expose budget health and operations
JasonW404 Aug 24, 2026
a33295a
fix(context): allow reviewed legacy capacity adoption
JasonW404 Aug 24, 2026
3ba0572
fix(context): remove resource usage statistics
JasonW404 Aug 24, 2026
6a806ff
fix(context): remove capacity health summary
JasonW404 Aug 24, 2026
85bdd10
fix(context): clarify budget telemetry and compaction
JasonW404 Aug 24, 2026
7d7ad48
fix: harden provider capacity fallbacks
JasonW404 Aug 24, 2026
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65 changes: 61 additions & 4 deletions backend/agents/create_agent_info.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@
resolve_capacity,
)
from nexent.core.models.capacity_budget import (
BudgetResolverError,
RequestBudgetOverrides,
SafeInputBudgetCalculator,
UncertaintyReserveBasisUnknown,
Expand Down Expand Up @@ -80,7 +81,7 @@
NEXENT_SANDBOX_WORKSPACE_VOLUME,
)
from consts.model import ToolParamsRequest
from consts.exceptions import ValidationError
from consts.exceptions import ModelCapacityConfigError, ValidationError

logger = logging.getLogger("create_agent_info")
logger.setLevel(logging.INFO)
Expand Down Expand Up @@ -310,6 +311,28 @@ def _resolve_safe_input_budget(
exc,
)
return None
except BudgetResolverError as exc:
reason_by_type = {
"InvalidReservePolicy": "invalid_reserve_policy",
"RequestedOutputExceedsCapacity": "requested_output_exceeds_model",
"ReserveExceedsCapacity": "reserve_exceeds_capacity",
"NoSafeInputCapacity": "no_safe_input_capacity",
"SafeInputBudgetFingerprintMismatch": "budget_fingerprint_mismatch",
"CallerMaxTokensOverrideForbidden": "caller_output_override_forbidden",
"SafeInputBudgetCapacityMismatch": "capacity_snapshot_mismatch",
}
reason = reason_by_type.get(type(exc).__name__, "budget_resolution_failed")
logger.warning(
"W2 safe input budget rejected: tenant_id=%s model=%s reason=%s",
tenant_id,
capacity_snapshot.model_name,
reason,
)
raise ModelCapacityConfigError(
f"capacity_config_invalid.{reason}",
"The selected model capacity cannot produce a safe Agent input budget. "
"Review the model context, input, output, and reserve settings.",
) from exc
logger.debug(
"W2 safe input budget resolved: tenant_id=%s model=%s requested_output_tokens=%s "
"soft_input_budget_tokens=%s hard_input_budget_tokens=%s fingerprint=%s warnings=%s",
Expand Down Expand Up @@ -340,6 +363,12 @@ def _resolve_input_budget(
provider_raw = model_info.get("model_factory")
provider = provider_raw.lower().strip() if isinstance(provider_raw, str) else ""
model_id = model_info.get("model_name") or ""
persisted_profile_version = model_info.get("capability_profile_version")
if persisted_profile_version:
for (catalog_provider, catalog_model), profile in CAPABILITY_CATALOG.items():
if profile.capability_profile_version == persisted_profile_version:
provider, model_id = catalog_provider, catalog_model
break
provider_missing_detail = None
if not provider:
provider_missing_detail = (
Expand Down Expand Up @@ -880,7 +909,11 @@ async def create_model_config_list(tenant_id):
default_output_reserve_tokens=record.get("default_output_reserve_tokens"),
tokenizer_family=record.get("tokenizer_family"),
capacity_source=record.get("capacity_source"),
capability_profile_version=record.get("capability_profile_version")))
capability_profile_version=record.get("capability_profile_version"),
canonical_model_id=record.get("canonical_model_id"),
model_identity_metadata=record.get("model_identity_metadata"),
tokenizer_match_metadata=record.get("tokenizer_match_metadata"),
token_count_probe_metadata=record.get("token_count_probe_metadata")))
# fit for old version, main_model and sub_model use default model
main_model_config = tenant_config_manager.get_model_config(
key=MODEL_CONFIG_MAPPING["llm"], tenant_id=tenant_id)
Expand All @@ -896,7 +929,19 @@ async def create_model_config_list(tenant_id):
model_factory=main_model_config.get("model_factory"),
timeout_seconds=main_model_config.get("timeout_seconds"),
concurrency_limit=main_model_config.get("concurrency_limit"),
prompt_cache=main_prompt_cache))
prompt_cache=main_prompt_cache,
max_output_tokens=main_model_config.get("max_output_tokens"),
max_tokens=main_model_config.get("max_tokens"),
context_window_tokens=main_model_config.get("context_window_tokens"),
max_input_tokens=main_model_config.get("max_input_tokens"),
default_output_reserve_tokens=main_model_config.get("default_output_reserve_tokens"),
tokenizer_family=main_model_config.get("tokenizer_family"),
capacity_source=main_model_config.get("capacity_source"),
capability_profile_version=main_model_config.get("capability_profile_version"),
canonical_model_id=main_model_config.get("canonical_model_id"),
model_identity_metadata=main_model_config.get("model_identity_metadata"),
tokenizer_match_metadata=main_model_config.get("tokenizer_match_metadata"),
token_count_probe_metadata=main_model_config.get("token_count_probe_metadata")))
model_list.append(
ModelConfig(cite_name="sub_model",
api_key=main_model_config.get("api_key", ""),
Expand All @@ -907,7 +952,19 @@ async def create_model_config_list(tenant_id):
model_factory=main_model_config.get("model_factory"),
timeout_seconds=main_model_config.get("timeout_seconds"),
concurrency_limit=main_model_config.get("concurrency_limit"),
prompt_cache=main_prompt_cache))
prompt_cache=main_prompt_cache,
max_output_tokens=main_model_config.get("max_output_tokens"),
max_tokens=main_model_config.get("max_tokens"),
context_window_tokens=main_model_config.get("context_window_tokens"),
max_input_tokens=main_model_config.get("max_input_tokens"),
default_output_reserve_tokens=main_model_config.get("default_output_reserve_tokens"),
tokenizer_family=main_model_config.get("tokenizer_family"),
capacity_source=main_model_config.get("capacity_source"),
capability_profile_version=main_model_config.get("capability_profile_version"),
canonical_model_id=main_model_config.get("canonical_model_id"),
model_identity_metadata=main_model_config.get("model_identity_metadata"),
tokenizer_match_metadata=main_model_config.get("tokenizer_match_metadata"),
token_count_probe_metadata=main_model_config.get("token_count_probe_metadata")))

return model_list

Expand Down
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