Ajustes conforme relatorio de testes 2026-08-27

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/__init__.py

@@ -0,0 +1,4 @@
+__all__ = ['settings']
+from .config.settings import settings
+
+from .idempotency import IdempotencyStore, InMemoryIdempotencyStore, create_idempotency_store

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/__init__.py

@@ -0,0 +1,12 @@
+from .publisher import AnalyticsPublisher, NoopAnalyticsPublisher
+from .composite_publisher import CompositeAnalyticsPublisher
+from .event_builder import build_analytics_event
+from .factory import create_analytics_publisher
+
+__all__ = [
+    "AnalyticsPublisher",
+    "NoopAnalyticsPublisher",
+    "CompositeAnalyticsPublisher",
+    "build_analytics_event",
+    "create_analytics_publisher",
+]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/composite_publisher.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+
+import asyncio
+import logging
+from typing import Any, Iterable
+
+from .publisher import AnalyticsPublisher
+
+logger = logging.getLogger("agent_framework.analytics.composite")
+
+
+class CompositeAnalyticsPublisher(AnalyticsPublisher):
+    """Publica o mesmo evento em múltiplos destinos.
+
+    Use para rodar OCI Streaming e Pub/Sub em paralelo durante transição,
+    homologação ou estratégia multi-cloud.
+    """
+
+    def __init__(self, publishers: Iterable[AnalyticsPublisher], *, fail_silent: bool = True):
+        self.publishers = list(publishers)
+        self.fail_silent = fail_silent
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        if not self.publishers:
+            return
+
+        async def _safe_publish(publisher: AnalyticsPublisher) -> None:
+            try:
+                await publisher.publish(event_type, payload)
+            except Exception:
+                logger.exception("analytics.publisher_failed provider=%s event_type=%s", publisher.__class__.__name__, event_type)
+                if not self.fail_silent:
+                    raise
+
+        await asyncio.gather(*[_safe_publish(p) for p in self.publishers])

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/event_builder.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from datetime import datetime, timezone
+from typing import Any
+
+
+def build_analytics_event(
+    event_type: str,
+    payload: dict[str, Any] | None = None,
+    *,
+    source: str = "agent_framework",
+    metadata: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """Monta envelope uniforme para IC/NOC/GRL.
+
+    O campo metadata.noc=true é preservado para que o Observer consiga rotear
+    eventos também para NOC/OTEL/Elastic quando aplicável.
+    """
+    body = dict(payload or {})
+    meta = dict(metadata or {})
+    return {
+        "eventType": event_type,
+        "source": source,
+        "eventDate": datetime.now(timezone.utc).isoformat(),
+        "payload": body,
+        "metadata": meta,
+    }

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/factory.py

@@ -0,0 +1,85 @@
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from .composite_publisher import CompositeAnalyticsPublisher
+from .publisher import AnalyticsPublisher, NoopAnalyticsPublisher
+
+logger = logging.getLogger("agent_framework.analytics.factory")
+
+
+def _split_csv(value: str | None) -> list[str]:
+    return [item.strip().lower() for item in (value or "").split(",") if item.strip()]
+
+
+def create_analytics_publisher(settings: Any | None = None) -> AnalyticsPublisher:
+    """Cria publisher conforme env/config.
+
+    Variáveis novas compatíveis:
+    - ENABLE_ANALYTICS=true|false
+    - ANALYTICS_PROVIDERS=oci_streaming,pubsub
+    - GCP_PUBSUB_TOPIC_PATH=projects/.../topics/...
+    - AGENT_PUBSUB_TOPIC=projects/.../topics/...   # compatibilidade FIRST/TIM
+    - GCP_PROJECT_ID=... + GCP_PUBSUB_TOPIC=...
+    """
+    if settings is None:
+        from agent_framework.config.settings import settings as default_settings
+        settings = default_settings
+
+    analytics_enabled = bool(getattr(settings, "ENABLE_ANALYTICS", False))
+    langfuse_enabled = bool(getattr(settings, "ENABLE_LANGFUSE", False))
+
+    # Historicamente o observer era usado para enviar IC/NOC/GRL ao Langfuse
+    # mesmo quando o pipeline de analytics/streaming não estava habilitado.
+    # Portanto, ENABLE_LANGFUSE=true também ativa o publisher Langfuse do observer.
+    if not analytics_enabled and not langfuse_enabled:
+        return NoopAnalyticsPublisher()
+
+    providers = _split_csv(getattr(settings, "ANALYTICS_PROVIDERS", "")) or ["oci_streaming"]
+    if langfuse_enabled and "langfuse" not in providers:
+        providers.insert(0, "langfuse")
+
+    # Se analytics geral estiver desligado, publica somente no Langfuse para
+    # evitar inicializar OCI Streaming/PubSub por engano em ambientes locais.
+    if not analytics_enabled:
+        providers = [p for p in providers if p in {"langfuse", "noop", "none"}] or ["langfuse"]
+    publishers: list[AnalyticsPublisher] = []
+
+    for provider in providers:
+        try:
+            if provider == "langfuse":
+                from .providers.langfuse import LangfuseAnalyticsPublisher
+                publishers.append(LangfuseAnalyticsPublisher(settings=settings))
+            elif provider == "oci_streaming":
+                from .providers.oci_streaming import OCIStreamingAnalyticsPublisher
+                publishers.append(OCIStreamingAnalyticsPublisher(settings=settings))
+            elif provider in {"pubsub", "gcp_pubsub", "gcp"}:
+                from .providers.pubsub import PubSubAnalyticsPublisher
+                topic = (
+                    getattr(settings, "GCP_PUBSUB_TOPIC_PATH", None)
+                    or getattr(settings, "AGENT_PUBSUB_TOPIC", None)
+                )
+                publishers.append(PubSubAnalyticsPublisher(topic_path=topic))
+            elif provider in {"noop", "none"}:
+                publishers.append(NoopAnalyticsPublisher())
+            else:
+                logger.warning("analytics.provider_ignored provider=%s", provider)
+        except Exception:
+            logger.exception("analytics.provider_init_failed provider=%s", provider)
+
+    if not publishers:
+        # Sem este log, "analytics ligado mas todos os providers falharam" fica
+        # indistinguivel de "analytics desligado": o publisher no-op descarta
+        # IC/NOC/GRL em silencio ate o processo ser reiniciado.
+        logger.error(
+            "analytics.no_publisher_available providers=%s enable_analytics=%s "
+            "enable_langfuse=%s; telemetria sera descartada ate o proximo restart",
+            ",".join(providers),
+            analytics_enabled,
+            langfuse_enabled,
+        )
+        return NoopAnalyticsPublisher()
+    if len(publishers) == 1:
+        return publishers[0]
+    return CompositeAnalyticsPublisher(publishers)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/providers/__init__.py

@@ -0,0 +1,11 @@
+from .oci_streaming import OCIStreamingAnalyticsPublisher
+from .pubsub import PubSubAnalyticsPublisher
+from .kafka import KafkaAnalyticsPublisher
+from .langfuse import LangfuseAnalyticsPublisher
+
+__all__ = [
+    "OCIStreamingAnalyticsPublisher",
+    "PubSubAnalyticsPublisher",
+    "KafkaAnalyticsPublisher",
+    "LangfuseAnalyticsPublisher",
+]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/providers/kafka.py

@@ -0,0 +1,25 @@
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from agent_framework.analytics.publisher import AnalyticsPublisher
+
+
+class KafkaAnalyticsPublisher(AnalyticsPublisher):
+    """Publisher Kafka opcional.
+
+    Recebe um producer já criado para não acoplar o framework a uma lib específica
+    (confluent-kafka, aiokafka, kafka-python etc.). O producer precisa expor send
+    assíncrono ou síncrono.
+    """
+
+    def __init__(self, producer: Any, topic: str):
+        self.producer = producer
+        self.topic = topic
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        message = json.dumps({"type": event_type, "payload": payload}, default=str).encode("utf-8")
+        result = self.producer.send(self.topic, key=event_type.encode("utf-8"), value=message)
+        if hasattr(result, "__await__"):
+            await result

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/providers/langfuse.py

@@ -0,0 +1,446 @@
+from __future__ import annotations
+
+import hashlib
+import logging
+import os
+import re
+from typing import Any
+
+from agent_framework.analytics.publisher import AnalyticsPublisher
+from agent_framework.observability.code_mapper import create_observability_code_mapper
+
+try:  # Avoid making analytics import fragile in old deployments.
+    from agent_framework.observability.context import get_current_observation_id, get_observability_context
+except Exception:  # pragma: no cover
+    get_observability_context = None  # type: ignore
+    get_current_observation_id = None  # type: ignore
+
+logger = logging.getLogger("agent_framework.analytics.langfuse")
+
+
+def _truthy(value: Any, default: bool = False) -> bool:
+    if value is None:
+        return default
+    if isinstance(value, bool):
+        return value
+    return str(value).strip().lower() in {"1", "true", "yes", "on", "y"}
+
+
+def _safe_metadata(value: Any) -> Any:
+    """Remove/mascara segredos antes de enviar metadata para Langfuse."""
+    if isinstance(value, dict):
+        out: dict[str, Any] = {}
+        for key, item in value.items():
+            lk = str(key).lower()
+            if any(token in lk for token in ("password", "secret", "token", "api_key", "authorization")):
+                out[key] = "***"
+            else:
+                out[key] = _safe_metadata(item)
+        return out
+    if isinstance(value, list):
+        return [_safe_metadata(item) for item in value]
+    return value
+
+
+_LANGFUSE_TRACE_ID_RE = re.compile(r"^[0-9a-f]{32}$")
+_INTERNAL_PREFIXES = ("IC.", "AGA.", "NOC.", "GRL.")
+_TECHNICAL_PREFIXES = (
+    "langgraph.",
+    "mcp.",
+    "guardrail.",
+    "judge.",
+    "workflow.",
+    "rag.",
+    "cache.",
+    "checkpoint.",
+)
+
+
+def _clean_str(value: Any) -> str | None:
+    if value is None:
+        return None
+    text = str(value).strip()
+    return text or None
+
+
+def _first(*values: Any) -> str | None:
+    for value in values:
+        text = _clean_str(value)
+        if text:
+            return text
+    return None
+
+
+def _current_context() -> dict[str, Any]:
+    if get_observability_context is None:
+        return {}
+    try:
+        return get_observability_context().clean()
+    except Exception:
+        return {}
+
+
+def _current_parent_observation_id() -> str | None:
+    if get_current_observation_id is None:
+        return None
+    try:
+        value = get_current_observation_id()
+        return str(value) if value else None
+    except Exception:
+        return None
+
+
+def _is_internal_name(name: Any) -> bool:
+    text = _clean_str(name) or ""
+    return text.startswith(_INTERNAL_PREFIXES)
+
+
+def _is_technical_name(name: Any) -> bool:
+    text = _clean_str(name) or ""
+    return text.startswith(_TECHNICAL_PREFIXES)
+
+
+def _is_control_or_technical(name: Any) -> bool:
+    return _is_internal_name(name) or _is_technical_name(name)
+
+
+def _extract_envelope_event_type(envelope: dict[str, Any]) -> str | None:
+    return _first(
+        envelope.get("eventType"),
+        envelope.get("event_type"),
+        envelope.get("name"),
+        envelope.get("type"),
+    )
+
+
+def _is_wrapped_internal_event(event_type: str, envelope: dict[str, Any]) -> bool:
+    """Detecta caso que gerava trace raiz errado.
+
+    Exemplo observado no Langfuse:
+      name=http.request.completed
+      input={"eventType": "NOC.006", ...}
+      output={"published": true}
+
+    Isso não é o trace real da request; é apenas o publisher de analytics
+    emitindo um envelope IC/NOC/GRL através de um evento técnico. Esse registro
+    deve ser suprimido para não poluir a tela Tracing -> Traces.
+    """
+    envelope_event_type = _extract_envelope_event_type(envelope)
+    return bool(
+        envelope_event_type
+        and _is_internal_name(envelope_event_type)
+        and str(event_type) != envelope_event_type
+        and str(event_type).startswith(("http.request.", "gateway.", "telemetry."))
+    )
+
+
+def _raw_correlation_id(metadata: dict[str, Any]) -> str | None:
+    # IMPORTANT: prefer request/trace ids over transaction/session ids. Using
+    # transaction/session as first choice created duplicate root traces for
+    # IC/NOC/GRL events while the HTTP trace used request_id.
+    value = (
+        metadata.get("traceId")
+        or metadata.get("trace_id")
+        or metadata.get("requestId")
+        or metadata.get("request_id")
+        or metadata.get("transactionId")
+        or metadata.get("transaction_id")
+        or metadata.get("sessionId")
+        or metadata.get("session_id")
+    )
+    return str(value) if value else None
+
+
+def _langfuse_trace_id(value: Any) -> str | None:
+    """Normaliza ids do framework/business para o formato aceito pelo Langfuse.
+
+    Langfuse SDK v3 exige 32 caracteres hex minúsculos. UUIDs com hífens são
+    compactados; ids de negócio/sessão viram hash md5 determinístico.
+    """
+    if value is None:
+        return None
+    raw = str(value).strip().lower()
+    if not raw:
+        return None
+    compact = raw.replace("-", "")
+    if _LANGFUSE_TRACE_ID_RE.match(compact):
+        return compact
+    return hashlib.md5(raw.encode("utf-8")).hexdigest()
+
+
+def _correlation_trace_id(metadata: dict[str, Any]) -> str | None:
+    return _langfuse_trace_id(_raw_correlation_id(metadata))
+
+
+def _with_trace_context(kwargs: dict[str, Any], metadata: dict[str, Any]) -> dict[str, Any]:
+    raw_id = _raw_correlation_id(metadata)
+    trace_id = _langfuse_trace_id(raw_id)
+    parent_id = (
+        metadata.get("parent_observation_id")
+        or metadata.get("parent_span_id")
+        or kwargs.get("parent_observation_id")
+        or kwargs.get("parent_span_id")
+        or _current_parent_observation_id()
+    )
+    if trace_id:
+        trace_context = dict(kwargs.get("trace_context") or {})
+        trace_context.setdefault("trace_id", trace_id)
+        if parent_id:
+            trace_context.setdefault("parent_span_id", str(parent_id))
+        kwargs["trace_context"] = trace_context
+        meta = kwargs.setdefault("metadata", {})
+        if isinstance(meta, dict):
+            meta.setdefault("framework_trace_id", raw_id)
+            meta.setdefault("langfuse_trace_id", trace_id)
+            if parent_id:
+                meta.setdefault("parent_observation_id", str(parent_id))
+    return kwargs
+
+
+def _allow_standalone_internal_events() -> bool:
+    # Default false: IC/NOC/GRL sem contexto de request não devem criar linhas
+    # soltas na tela principal de Traces. Habilite só para debug isolado.
+    return _truthy(os.getenv("LANGFUSE_ALLOW_STANDALONE_INTERNAL_EVENTS"), False)
+
+
+class LangfuseAnalyticsPublisher(AnalyticsPublisher):
+    """Publica eventos IC/NOC/GRL no Langfuse sem criar traces raiz duplicados.
+
+    Regra principal:
+      - 1 request/workflow = 1 trace raiz;
+      - IC/NOC/GRL e eventos técnicos entram como observations/spans dentro do
+        trace corrente;
+      - envelopes internos embrulhados em eventos HTTP/gateway não criam trace
+        próprio com output {"published": true}.
+    """
+
+    def __init__(self, settings: Any | None = None, langfuse: Any | None = None):
+        if settings is None:
+            from agent_framework.config.settings import settings as default_settings
+            settings = default_settings
+
+        self.settings = settings
+        self.code_mapper = create_observability_code_mapper(settings)
+        self.langfuse = langfuse
+        self.enabled = True
+
+        if self.langfuse is not None:
+            return
+
+        public_key = getattr(settings, "LANGFUSE_PUBLIC_KEY", None) or os.getenv("LANGFUSE_PUBLIC_KEY")
+        secret_key = getattr(settings, "LANGFUSE_SECRET_KEY", None) or os.getenv("LANGFUSE_SECRET_KEY")
+        host = getattr(settings, "LANGFUSE_HOST", None) or os.getenv("LANGFUSE_HOST") or "https://cloud.langfuse.com"
+
+        if not public_key or not secret_key:
+            self.enabled = False
+            logger.warning("LangfuseAnalyticsPublisher desabilitado: LANGFUSE_PUBLIC_KEY/LANGFUSE_SECRET_KEY ausentes")
+            return
+
+        try:
+            from langfuse import Langfuse  # type: ignore
+            self.langfuse = Langfuse(public_key=public_key, secret_key=secret_key, host=host)
+            logger.info("LangfuseAnalyticsPublisher habilitado host=%s", host)
+        except Exception:
+            self.enabled = False
+            self.langfuse = None
+            logger.exception("Falha ao inicializar LangfuseAnalyticsPublisher")
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        if not self.enabled or self.langfuse is None:
+            return
+
+        event_type = str(event_type)
+        envelope = dict(payload or {})
+
+        # Prevent the exact pollution seen in Langfuse: http.request.completed
+        # traces whose input is a NOC/IC envelope and output is {published:true}.
+        if _is_wrapped_internal_event(event_type, envelope):
+            logger.debug(
+                "langfuse.analytics.skip_wrapped_internal event_type=%s envelope_event_type=%s",
+                event_type,
+                _extract_envelope_event_type(envelope),
+            )
+            return
+
+        body = envelope.get("payload") if isinstance(envelope.get("payload"), dict) else {}
+        metadata = envelope.get("metadata") if isinstance(envelope.get("metadata"), dict) else {}
+        ctx = _current_context()
+
+        source = envelope.get("source") or "agent_framework"
+        event_date = envelope.get("eventDate")
+        envelope_event_type = _extract_envelope_event_type(envelope)
+        effective_event_type = envelope_event_type if _is_internal_name(envelope_event_type) else event_type
+
+        # LangfuseAnalyticsPublisher talks directly to the Langfuse SDK and does
+        # not pass through Telemetry._start_observation(). Apply the same contract
+        # mapper here so analytics observations cannot leak internal names.
+        original_effective_event_type = str(effective_event_type)
+        effective_event_type, mapping_meta = self.code_mapper.normalize_name(
+            original_effective_event_type,
+            metadata,
+        )
+        if mapping_meta != metadata:
+            metadata = mapping_meta
+            if isinstance(envelope.get("metadata"), dict):
+                envelope["metadata"] = dict(mapping_meta)
+
+        # Correlation priority: current ObservabilityContext > payload metadata >
+        # transaction/session fallback. This keeps IC/NOC/GRL in the same HTTP trace.
+        correlation_request_id = _first(
+            ctx.get("request_id"),
+            ctx.get("trace_id"),
+            body.get("request_id"), metadata.get("request_id"),
+            body.get("requestId"), metadata.get("requestId"),
+            envelope.get("request_id"), envelope.get("requestId"),
+        )
+        correlation_trace_id = _first(
+            ctx.get("trace_id"),
+            ctx.get("request_id"),
+            body.get("trace_id"), metadata.get("trace_id"),
+            body.get("traceId"), metadata.get("traceId"),
+            correlation_request_id,
+        )
+        correlation_session_id = _first(
+            ctx.get("session_id"),
+            body.get("session_id"), metadata.get("session_id"),
+            body.get("sessionId"), metadata.get("sessionId"),
+            body.get("transaction_id"), metadata.get("transaction_id"),
+            body.get("transactionId"), metadata.get("transactionId"),
+        )
+
+        is_internal = _is_internal_name(effective_event_type)
+        is_technical = _is_technical_name(effective_event_type)
+
+        # IC/NOC/GRL without current/request correlation are usually emitted by
+        # background/legacy publishers. Do not create standalone trace rows unless
+        # explicitly requested for debugging.
+        if (is_internal or is_technical) and not correlation_trace_id and not _allow_standalone_internal_events():
+            logger.debug("langfuse.analytics.skip_unrelated_internal event_type=%s", effective_event_type)
+            return
+
+        langfuse_metadata = _safe_metadata({
+            "eventType": effective_event_type,
+            "observability_name_internal": mapping_meta.get("observability_name_internal"),
+            "observability_name_mapped": mapping_meta.get("observability_name_mapped"),
+            "observability_code_mapped": mapping_meta.get("observability_code_mapped"),
+            "original_event_type": original_effective_event_type if original_effective_event_type != effective_event_type else (event_type if event_type != effective_event_type else None),
+            "source": source,
+            "eventDate": event_date,
+            "payload": body,
+            "metadata": metadata,
+            "ic": _is_ic(str(effective_event_type), metadata),
+            "noc": _is_noc(str(effective_event_type), metadata),
+            "grl": _is_grl(str(effective_event_type), metadata),
+            "tag": body.get("tag") or metadata.get("tag") or effective_event_type,
+            "request_id": correlation_request_id,
+            "trace_id": correlation_trace_id,
+            "transaction_id": body.get("transaction_id") or metadata.get("transaction_id") or body.get("transactionId") or metadata.get("transactionId"),
+            "sessionId": correlation_session_id,
+            "session_id": correlation_session_id,
+            "messageId": body.get("messageId") or metadata.get("messageId") or body.get("message_id") or metadata.get("message_id") or ctx.get("message_id"),
+            "agentId": body.get("agentId") or metadata.get("agentId") or body.get("agent_id") or metadata.get("agent_id") or ctx.get("agent_id"),
+            "channelId": body.get("channelId") or metadata.get("channelId") or body.get("channel") or metadata.get("channel") or ctx.get("channel"),
+            "workflow_id": body.get("workflow_id") or metadata.get("workflow_id") or ctx.get("workflow_id"),
+            "tenant_id": body.get("tenant_id") or metadata.get("tenant_id") or ctx.get("tenant_id"),
+            "parent_observation_id": body.get("parent_observation_id") or metadata.get("parent_observation_id") or _current_parent_observation_id(),
+        })
+
+        # Keep correlation metadata on the trace, but do not turn every control
+        # event code into a trace tag. IC/NOC/GRL are represented by the child
+        # observation below; tags are not a substitute for the event span and
+        # high-cardinality event-code tags make the trace harder to inspect.
+        self._update_current_trace(langfuse_metadata)
+
+        # Prefer current/correlated observation API. For internal/technical events,
+        # do not fall back to standalone span/trace APIs if this fails.
+        try:
+            if hasattr(self.langfuse, "start_as_current_observation"):
+                kwargs = {
+                    "name": str(effective_event_type),
+                    "as_type": "span",
+                    "input": envelope,
+                    "metadata": langfuse_metadata,
+                }
+                # trace_context rebuilds the parent as a remote span (SDK cross-process
+                # propagation); skip it when a real span is already active locally.
+                if not _current_parent_observation_id():
+                    kwargs = _with_trace_context(kwargs, langfuse_metadata)
+                try:
+                    cm = self.langfuse.start_as_current_observation(**kwargs)
+                except (TypeError, ValueError):
+                    kwargs.pop("trace_context", None)
+                    cm = self.langfuse.start_as_current_observation(**kwargs)
+                with cm as observation:
+                    _update_observation(observation, output={"published": True})
+                return
+        except Exception:
+            log = logger.warning if is_internal else logger.debug
+            log("Falha ao publicar Langfuse observation para %s", effective_event_type, exc_info=True)
+            if is_internal or is_technical:
+                return
+
+        if is_internal or is_technical:
+            return
+
+        # Legacy fallbacks only for non-internal, high-level events.
+        try:
+            trace_id = _correlation_trace_id(langfuse_metadata)
+            if trace_id and hasattr(self.langfuse, "trace"):
+                trace = self.langfuse.trace(
+                    id=str(trace_id),
+                    name=str(langfuse_metadata.get("request_id") or langfuse_metadata.get("sessionId") or "agent_framework.request"),
+                    session_id=langfuse_metadata.get("sessionId"),
+                    user_id=langfuse_metadata.get("user_id") or langfuse_metadata.get("userId"),
+                    metadata={k: v for k, v in langfuse_metadata.items() if v is not None},
+                )
+                if hasattr(trace, "span"):
+                    span = trace.span(name=str(effective_event_type), input=envelope, metadata=langfuse_metadata)
+                    if hasattr(span, "end"):
+                        span.end(output={"published": True})
+                    return
+        except Exception:
+            logger.debug("Falha ao publicar Langfuse span correlacionado para %s", effective_event_type, exc_info=True)
+
+        try:
+            if hasattr(self.langfuse, "span"):
+                span = self.langfuse.span(name=str(effective_event_type), input=envelope, metadata=langfuse_metadata)
+                if hasattr(span, "end"):
+                    span.end(output={"published": True})
+                return
+        except Exception:
+            logger.debug("Falha ao publicar Langfuse span legado para %s", effective_event_type, exc_info=True)
+
+    def _update_current_trace(self, metadata: dict[str, Any]) -> None:
+        try:
+            kwargs: dict[str, Any] = {
+                "metadata": {k: v for k, v in metadata.items() if v is not None},
+            }
+            session_id = metadata.get("sessionId") or metadata.get("session_id")
+            if session_id:
+                kwargs["session_id"] = str(session_id)
+            if hasattr(self.langfuse, "update_current_trace"):
+                self.langfuse.update_current_trace(**kwargs)
+        except Exception:
+            logger.debug("Langfuse update_current_trace ignorado", exc_info=True)
+
+
+def _update_observation(observation: Any, **kwargs: Any) -> None:
+    if observation is None:
+        return
+    try:
+        if hasattr(observation, "update"):
+            observation.update(**{k: v for k, v in kwargs.items() if v is not None})
+    except Exception:
+        logger.debug("Langfuse observation update ignorado", exc_info=True)
+
+
+def _is_noc(event_type: str, metadata: dict[str, Any]) -> bool:
+    return event_type.startswith("NOC.") or _truthy(metadata.get("noc"))
+
+
+def _is_grl(event_type: str, metadata: dict[str, Any]) -> bool:
+    return event_type.startswith("GRL.") or _truthy(metadata.get("grl"))
+
+
+def _is_ic(event_type: str, metadata: dict[str, Any]) -> bool:
+    return event_type.startswith(("IC.", "AGA.")) or _truthy(metadata.get("ic"))

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/providers/oci_streaming.py

@@ -0,0 +1,28 @@
+from __future__ import annotations
+
+from typing import Any
+
+from agent_framework.analytics.publisher import AnalyticsPublisher
+from agent_framework.analytics.tim_sequence import ensure_sequence_envelope
+
+
+class OCIStreamingAnalyticsPublisher(AnalyticsPublisher):
+    """Adapter para reutilizar o publisher OCI Streaming existente do framework."""
+
+    def __init__(self, settings: Any | None = None, event_publisher: Any | None = None):
+        if event_publisher is not None:
+            self.event_publisher = event_publisher
+        else:
+            from agent_framework.config.settings import settings as default_settings
+            from agent_framework.events.oci_streaming import create_event_publisher
+            self.event_publisher = create_event_publisher(settings or default_settings)
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        # Carimba o contador de sequence no envelope antes do publish, espelhando o
+        # PubSubAnalyticsPublisher. Sem isto o path OCI Streaming sai sem sequence
+        # (a geração estava amarrada apenas ao Pub/Sub na migração do framework).
+        # ensure_sequence_envelope não quebra observabilidade: se faltar sessionId
+        # ou o backend do contador falhar, o evento segue sem o campo.
+        if isinstance(payload, dict):
+            payload = await ensure_sequence_envelope(payload)
+        await self.event_publisher.publish(event_type, payload)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/providers/pubsub.py

@@ -0,0 +1,111 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import os
+from typing import Any
+
+from agent_framework.analytics.tim_payload_mapper import map_analytics_event_to_tim_flat_payload
+from agent_framework.analytics.tim_sequence import ensure_sequence
+
+from agent_framework.analytics.publisher import AnalyticsPublisher
+
+logger = logging.getLogger("agent_framework.analytics.pubsub")
+
+
+class PubSubAnalyticsPublisher(AnalyticsPublisher):
+    """Publisher GCP Pub/Sub real, compatível com FIRST/TIM.
+
+    Formas aceitas de configuração:
+
+    1. GCP_PUBSUB_TOPIC_PATH=projects/<project-id>/topics/<topic-id>
+    2. AGENT_PUBSUB_TOPIC=projects/<project-id>/topics/<topic-id>
+    3. GCP_PROJECT_ID=<project-id> + GCP_PUBSUB_TOPIC=<topic-id>
+
+    Credenciais seguem o padrão Google:
+    GOOGLE_APPLICATION_CREDENTIALS=/secrets/service-account.json
+    """
+
+    def __init__(
+        self,
+        topic_path: str | None = None,
+        *,
+        project_id: str | None = None,
+        topic_id: str | None = None,
+        ordering_key: str | None = None,
+        timeout_seconds: float | None = None,
+    ):
+        self.topic_path = self._resolve_topic_path(topic_path, project_id=project_id, topic_id=topic_id)
+        self.ordering_key = ordering_key or os.getenv("GCP_PUBSUB_ORDERING_KEY") or ""
+        self.timeout_seconds = float(timeout_seconds or os.getenv("GCP_PUBSUB_TIMEOUT_SECONDS") or 30)
+        self.payload_mode = (os.getenv("PUBSUB_PAYLOAD_MODE") or os.getenv("ANALYTICS_PUBSUB_PAYLOAD_MODE") or "flat").strip().lower()
+        self.exclude_noc = (os.getenv("PUBSUB_EXCLUDE_NOC") or "true").strip().lower() in {"1", "true", "yes", "y", "on"}
+        self.excluded_event_types = {
+            item.strip().upper()
+            for item in os.getenv("PUBSUB_EXCLUDED_EVENT_TYPES", "").split(",")
+            if item.strip()
+        }
+
+        from google.cloud import pubsub_v1  # type: ignore
+
+        self.client = pubsub_v1.PublisherClient()
+
+    @staticmethod
+    def _resolve_topic_path(topic_path: str | None, *, project_id: str | None, topic_id: str | None) -> str:
+        explicit = (
+            topic_path
+            or os.getenv("GCP_PUBSUB_TOPIC_PATH")
+            or os.getenv("AGENT_PUBSUB_TOPIC")
+            or os.getenv("PUBSUB_TOPIC_PATH")
+        )
+        if explicit:
+            explicit = explicit.strip()
+            if explicit.startswith("projects/"):
+                return explicit
+            # Permite passar só o nome do tópico quando project_id estiver disponível.
+            project = project_id or os.getenv("GCP_PROJECT_ID") or os.getenv("GOOGLE_CLOUD_PROJECT")
+            if project:
+                return f"projects/{project}/topics/{explicit}"
+            raise ValueError("topic_path deve estar no formato projects/<project-id>/topics/<topic-id> quando GCP_PROJECT_ID não está definido")
+
+        project = project_id or os.getenv("GCP_PROJECT_ID") or os.getenv("GOOGLE_CLOUD_PROJECT")
+        topic = topic_id or os.getenv("GCP_PUBSUB_TOPIC") or os.getenv("PUBSUB_TOPIC")
+        if project and topic:
+            return f"projects/{project}/topics/{topic}"
+
+        raise ValueError("Configure GCP_PUBSUB_TOPIC_PATH, AGENT_PUBSUB_TOPIC ou GCP_PROJECT_ID + GCP_PUBSUB_TOPIC")
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        event_key = str(event_type).upper()
+        if event_key in self.excluded_event_types:
+            logger.debug("analytics.pubsub.skipped_event event_type=%s", event_type)
+            return
+
+        metadata = payload.get("metadata") if isinstance(payload, dict) else None
+        is_noc = str(event_type).startswith("NOC.") or (isinstance(metadata, dict) and metadata.get("noc") is True)
+        if is_noc and self.exclude_noc:
+            logger.debug("analytics.pubsub.skipped_noc event_type=%s", event_type)
+            return
+
+        if self.payload_mode in {"legacy", "envelope", "wrapped"}:
+            message = {"type": event_type, "payload": payload}
+        else:
+            message = map_analytics_event_to_tim_flat_payload(event_type, payload, keep_none=False)
+            message = await ensure_sequence(message)
+
+        data = json.dumps(message, default=str, ensure_ascii=False).encode("utf-8")
+        attributes = {
+            "event_type": str(event_type),
+            "source": str(payload.get("source") or "agent_framework"),
+        }
+        if is_noc:
+            attributes["noc"] = "true"
+
+        kwargs: dict[str, Any] = dict(attributes)
+        if self.ordering_key:
+            kwargs["ordering_key"] = self.ordering_key
+
+        future = self.client.publish(self.topic_path, data=data, **kwargs)
+        await asyncio.to_thread(future.result, timeout=self.timeout_seconds)
+        logger.debug("analytics.pubsub.published event_type=%s topic=%s", event_type, self.topic_path)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/publisher.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+import logging
+from abc import ABC, abstractmethod
+from typing import Any
+
+logger = logging.getLogger("agent_framework.analytics")
+
+
+class AnalyticsPublisher(ABC):
+    """Contrato único para eventos analíticos corporativos.
+
+    A intenção é desacoplar o agente de OCI Streaming, GCP Pub/Sub, Kafka,
+    BigQuery ou qualquer outro destino. Os agentes publicam eventos de negócio
+    ou operação usando apenas este contrato.
+    """
+
+    @abstractmethod
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        raise NotImplementedError
+
+
+class NoopAnalyticsPublisher(AnalyticsPublisher):
+    """Publisher seguro para ambientes locais/testes."""
+
+    async def publish(self, event_type: str, payload: dict[str, Any]) -> None:
+        logger.info("analytics.noop event_type=%s payload_keys=%s", event_type, sorted(payload.keys()))

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/tim_payload_mapper.py

@@ -0,0 +1,152 @@
+from __future__ import annotations
+
+from datetime import datetime, timezone
+import json
+from typing import Any
+
+
+def _first(mapping: dict[str, Any], *keys: str) -> Any:
+    for key in keys:
+        if key in mapping and mapping.get(key) is not None:
+            return mapping.get(key)
+    return None
+
+
+def _as_list(value: Any) -> Any:
+    if value is None:
+        return None
+    if isinstance(value, list):
+        return value
+    if isinstance(value, (tuple, set)):
+        return list(value)
+    return [value]
+
+
+def _collect_agent_specific_data(metadata: dict[str, Any], body: dict[str, Any]) -> dict[str, Any] | None:
+    prefixed: dict[str, Any] = {}
+    for source in (metadata, body):
+        for key, value in source.items():
+            if key.startswith("agentSpecificData."):
+                prefixed[key.removeprefix("agentSpecificData.")] = value
+    if prefixed:
+        return prefixed
+
+    direct = _first(metadata, "agentSpecificData")
+    if isinstance(direct, dict):
+        return dict(direct)
+    if isinstance(direct, str) and direct.strip():
+        try:
+            parsed = json.loads(direct)
+            if isinstance(parsed, dict):
+                return parsed
+        except (TypeError, ValueError, json.JSONDecodeError):
+            pass
+    direct = _first(body, "agentSpecificData")
+    if isinstance(direct, dict):
+        return dict(direct)
+    if isinstance(direct, str) and direct.strip():
+        try:
+            parsed = json.loads(direct)
+            if isinstance(parsed, dict):
+                return parsed
+        except (TypeError, ValueError, json.JSONDecodeError):
+            pass
+    return None
+
+
+def map_analytics_event_to_tim_flat_payload(
+    event_type: str,
+    event: dict[str, Any],
+    *,
+    keep_none: bool = False,
+) -> dict[str, Any]:
+    """Map the framework analytics envelope to TIM's flat Pub/Sub/NOC schema.
+
+    The canonical fields are published at the JSON root. The only intentional
+    nested object is ``agentSpecificData``.
+    """
+    if not isinstance(event, dict):
+        event = {}
+
+    body = event.get("payload") if isinstance(event.get("payload"), dict) else {}
+    metadata = event.get("metadata") if isinstance(event.get("metadata"), dict) else {}
+    data: dict[str, Any] = {**body, **metadata}
+
+    token_usage = event.get("token_usage") if isinstance(event.get("token_usage"), dict) else {}
+
+    payload: dict[str, Any] = {
+        # Tracking
+        "eventType": event.get("eventType") or event_type,
+        "traceId": _first(data, "traceId", "trace_id"),
+        "transactionId": _first(data, "transactionId", "transaction_id", "transactionID"),
+        "spanId": _first(data, "spanId", "span_id"),
+        "parentSpanId": _first(data, "parentSpanId", "parent_span_id"),
+        "eventName": _first(data, "eventName", "name"),
+        "version": _first(data, "version") or "1.0",
+        "eventDate": _first(data, "eventDate") or event.get("eventDate") or datetime.now(timezone.utc).isoformat(),
+        # Session/channel
+        "sessionId": _first(data, "sessionId", "session_id"),
+        "channelId": _first(data, "channelId", "channel", "channel_id"),
+        "agentId": _first(data, "agentId", "agent_id"),
+        "customerCode": _first(data, "customerCode", "customer_code"),
+        "touchpoint": _first(data, "touchpoint"),
+        "protocol": _first(data, "protocol"),
+        "tag": _first(data, "tag") or event.get("eventType") or event_type,
+        "noc": True if _first(data, "noc") is True else None,
+        # Protocol/session
+        "agentProtocolId": _first(data, "agentProtocolId", "agent_protocol_id"),
+        "adjustedProtocol": _first(data, "adjustedProtocol", "adjusted_protocol"),
+        "sessionCreatedAt": _first(data, "sessionCreatedAt", "session_created_at"),
+        "sessionEndAt": _first(data, "sessionEndAt", "session_end_at"),
+        # URA/voice
+        "uraCallId": _first(data, "uraCallId", "ura_call_id"),
+        "transcriptionId": _first(data, "transcriptionId", "transcription_id"),
+        "gsm": _first(data, "gsm"),
+        "ani": _first(data, "ani"),
+        "uraProtocolId": _first(data, "uraProtocolId", "ura_protocol_id"),
+        "uraLatency": _first(data, "uraLatency", "ura_latency"),
+        "uraResolution": _first(data, "uraResolution", "urResolution", "ura_resolution"),
+        "customerMessage": _first(data, "customerMessage", "customer_message"),
+        # Message/guardrails/analysis
+        "messageId": _first(data, "messageId", "message_id"),
+        "blockingGuardrailsOutput": _first(data, "blockingGuardrailsOutput", "blocking_guardrails_output"),
+        "blockingGuardrailsInput": _first(data, "blockingGuardrailsInput", "blocking_guardrails_input"),
+        "llmResponse": _first(data, "llmResponse", "llm_response"),
+        "alucinationScore": _first(data, "alucinationScore", "hallucinationScore", "alucination_score"),
+        "noMatchRag": _first(data, "noMatchRag", "no_match_rag"),
+        "promptLength": _first(data, "promptLength", "prompt_length"),
+        "intention": _first(data, "intention", "intent"),
+        "loop": _first(data, "loop"),
+        "inferredCsiScore": _first(data, "inferredCsiScore", "inferred_csi_score"),
+        "supervisorBlockReasons": _first(data, "supervisorBlockReasons", "supervisor_block_reasons"),
+        "resolution": _first(data, "resolution"),
+        "ConversationPrecision": _first(data, "ConversationPrecision", "conversationPrecision", "conversation_precision"),
+        # LLM metrics
+        "model": _first(data, "model") or event.get("model"),
+        "tokenInput": _first(token_usage, "input_tokens") or _first(data, "tokenInput", "input_tokens"),
+        "tokenOutput": _first(token_usage, "output_tokens") or _first(data, "tokenOutput", "output_tokens"),
+        "latencyMs": _first(data, "latencyMs", "duration_ms"),
+        "toxicityScore": _first(data, "toxicityScore", "toxicity_score"),
+        "nps": _first(data, "nps"),
+        "judgeScore": _first(data, "judgeScore", "judge_score"),
+        "accuracyScore": _first(data, "accuracyScore", "accuracy_score"),
+        "guardrails": _first(data, "guardrails"),
+        # RAG
+        "ragRetrievedDocuments": _as_list(_first(data, "documentsRetrieved", "ragRetrievedDocuments")),
+        "ragSelectedDocuments": _as_list(_first(data, "documentsSelected", "ragSelectedDocuments")),
+        # API
+        "apiUrl": _first(data, "apiUrl", "api_url"),
+        "apiStatusCode": _first(data, "httpStatusCode", "apiStatusCode", "http_status_code"),
+        "apiResponsePayload": _first(data, "apiResponsePayload", "api_response_payload"),
+        # I/O
+        "inputData": _first(data, "inputData", "input_data"),
+        "outputData": _first(data, "outputData", "output_data"),
+        # Business/status/sequence
+        "agentSpecificData": _collect_agent_specific_data(metadata, body),
+        "status": _first(data, "status"),
+        "sequence": _first(data, "sequence"),
+    }
+
+    if keep_none:
+        return {k: ("" if v is None else v) for k, v in payload.items()}
+    return {k: v for k, v in payload.items() if v is not None}

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/analytics/tim_sequence.py

@@ -0,0 +1,396 @@
+from __future__ import annotations
+
+import asyncio
+import logging
+import os
+import threading
+from collections import defaultdict
+from datetime import datetime, timedelta, timezone
+from typing import Any, Literal
+
+logger = logging.getLogger("agent_framework.analytics.tim_sequence")
+
+# In-process fallback. This is not cross-process/global, but keeps telemetry alive
+# when the configured shared sequence backend is unavailable, matching the
+# framework principle that observability must not break business execution.
+_memory_lock = threading.Lock()
+_memory_counters: dict[str, int] = defaultdict(int)
+
+SequenceProvider = Literal["auto", "redis", "mongodb", "mongo", "memory", "none"]
+
+
+def _env_bool(name: str, default: bool) -> bool:
+    value = os.getenv(name)
+    if value is None:
+        return default
+    return value.strip().lower() in {"1", "true", "yes", "y", "on"}
+
+
+def sequence_enabled() -> bool:
+    return _env_bool("PUBSUB_SEQUENCE_ENABLED", True)
+
+
+def _sequence_provider() -> SequenceProvider:
+    raw = (os.getenv("PUBSUB_SEQUENCE_PROVIDER") or "auto").strip().lower()
+    if raw in {"mongo"}:
+        return "mongodb"
+    if raw in {"auto", "redis", "mongodb", "memory", "none"}:
+        return raw  # type: ignore[return-value]
+    logger.warning("tim_sequence.invalid_provider provider=%s; using auto", raw)
+    return "auto"
+
+
+def _redis_url() -> str | None:
+    return os.getenv("PUBSUB_SEQUENCE_REDIS_URL") or os.getenv("REDIS_URL")
+
+
+def _mongo_uri() -> str | None:
+    return (
+        os.getenv("PUBSUB_SEQUENCE_MONGODB_URI")
+        or os.getenv("MONGODB_URI")
+        or os.getenv("MONGO_URI")
+    )
+
+
+def _mongo_database() -> str:
+    return (
+        os.getenv("PUBSUB_SEQUENCE_MONGODB_DATABASE")
+        or os.getenv("MONGODB_DATABASE")
+        or os.getenv("MONGO_DATABASE")
+        or "agent_platform"
+    )
+
+
+def _legacy_agent_name() -> str:
+    return _safe_part(os.getenv("AGENT_NAME") or "agent", "agent")
+
+
+def _mongo_collection() -> str:
+    """Return the shared MongoDB collection used by every event producer.
+
+    The collection must not vary by agent. A transaction can emit GRL, AGA,
+    NOC and other events from different components, and all of them must
+    increment the same counter document. Deployments may override the name,
+    but the configured value must be identical in every producer/pod.
+    """
+    return (
+        os.getenv("PUBSUB_SEQUENCE_MONGODB_COLLECTION")
+        or os.getenv("MONGODB_EVENT_COUNTERS_COLLECTION")
+        or os.getenv("EVENT_COUNTERS_COLLECTION")
+        or "observer_event_counters"
+    )
+
+
+def _ttl_seconds() -> int:
+    raw = os.getenv("PUBSUB_SEQUENCE_TTL_SECONDS") or os.getenv("SESSION_TTL_SECONDS") or "86400"
+    try:
+        return max(0, int(raw))
+    except Exception:
+        return 86400
+
+
+def _fallback_enabled() -> bool:
+    # An in-memory fallback creates duplicate sequences when multiple pods or
+    # event producers handle the same transaction. Keep it opt-in only for
+    # local/single-process development.
+    return _env_bool("PUBSUB_SEQUENCE_MEMORY_FALLBACK", False)
+
+
+def _key_prefix() -> str:
+    return os.getenv("PUBSUB_SEQUENCE_KEY_PREFIX") or "observer:sequence"
+
+
+def _safe_part(value: Any, fallback: str) -> str:
+    text = str(value or fallback).strip()
+    return text.replace(" ", "_").replace("/", "_").replace("\\", "_")
+
+
+def build_sequence_key(
+    agent_id: str | None,
+    session_id: str | None,
+    transaction_id: str | None = None,
+) -> str:
+    """Build one counter key for the whole transaction.
+
+    ``agent_id`` is intentionally ignored for transaction-scoped counters.
+    A single transaction may emit events from different agents/components
+    (for example GRL and AGA), and those events must share one monotonic
+    sequence. ``session_id`` is retained only as a compatibility fallback when
+    no transaction identifier is present.
+    """
+    if transaction_id:
+        transaction = _safe_part(transaction_id, "unknown_transaction")
+        return f"{_key_prefix()}:transaction:{transaction}"
+
+    # Legacy fallback. Including the agent here avoids changing old session-only
+    # behavior, but new integrations should always provide transactionId.
+    agent = _safe_part(agent_id or os.getenv("AGENT_NAME"), "agent")
+    session = _safe_part(session_id, "unknown_session")
+    return f"{_key_prefix()}:{agent}:session:{session}"
+
+
+async def _next_sequence_redis(key: str, ttl_seconds: int) -> int | None:
+    url = _redis_url()
+    if not url:
+        return None
+    try:
+        import redis.asyncio as redis_async  # type: ignore
+
+        client = redis_async.Redis.from_url(url, decode_responses=True)
+        try:
+            value = await client.incr(key)
+            if ttl_seconds > 0 and value == 1:
+                await client.expire(key, ttl_seconds)
+            return int(value)
+        finally:
+            try:
+                await client.aclose()
+            except AttributeError:  # redis-py older compatibility
+                await client.close()
+    except Exception:
+        logger.exception("tim_sequence.redis_failed key=%s", key)
+        return None
+
+
+_mongo_index_checked = False
+_mongo_index_lock = threading.Lock()
+
+
+def _next_sequence_mongodb_sync(
+    key: str,
+    agent_id: str | None,
+    session_id: str | None,
+    transaction_id: str | None,
+    ttl_seconds: int,
+) -> int | None:
+    uri = _mongo_uri()
+    if not uri:
+        return None
+
+    from pymongo import MongoClient, ReturnDocument  # type: ignore
+
+    client = MongoClient(uri)
+    try:
+        collection = client[_mongo_database()][_mongo_collection()]
+        now = datetime.now(timezone.utc)
+        expires_at = now + timedelta(seconds=ttl_seconds) if ttl_seconds > 0 else None
+
+        # update: dict[str, Any] = {
+        #     "$inc": {"sequence": 1},
+        #     "$set": {
+        #         "agentId": agent_id or os.getenv("AGENT_NAME") or "agent",
+        #         "sessionId": session_id,
+        #         "transactionId": transaction_id,
+        #         "sequenceScope": "transaction" if transaction_id else "session",
+        #         "updatedAt": now,
+        #     },
+        #     "$setOnInsert": {
+        #         "_id": key,
+        #         "createdAt": now,
+        #     },
+        # }
+        update: dict[str, Any] = {
+            "$inc": {"sequence": 1},
+            "$set": {
+                "agentId": agent_id or os.getenv("AGENT_NAME") or "agent",
+                "sessionId": session_id,
+                "transactionId": transaction_id,
+                "sequenceScope": "transaction" if transaction_id else "session",
+                "updatedAt": now,
+            },
+            "$setOnInsert": {
+                "createdAt": now,
+            },
+        }
+        if expires_at is not None:
+            update["$set"]["expiresAt"] = expires_at
+
+        doc = collection.find_one_and_update(
+            {"_id": key},
+            update,
+            upsert=True,
+            return_document=ReturnDocument.AFTER,
+        )
+        if not doc:
+            return None
+        return int(doc.get("sequence", 0))
+    finally:
+        client.close()
+
+
+def _ensure_mongo_ttl_index_once_sync(ttl_seconds: int) -> None:
+    """Best-effort TTL index initialization, safe across threads/event loops.
+
+    ``asyncio.Lock`` must not be shared by independent event loops. Observer
+    compatibility calls may originate in worker threads, so this one-time
+    process-local guard deliberately uses ``threading.Lock``. The blocking
+    Mongo operation is executed by the async wrapper in a worker thread.
+    """
+    global _mongo_index_checked
+    if _mongo_index_checked or ttl_seconds <= 0 or not _mongo_uri():
+        return
+
+    with _mongo_index_lock:
+        if _mongo_index_checked:
+            return
+        try:
+            from pymongo import MongoClient  # type: ignore
+
+            client = MongoClient(_mongo_uri())
+            try:
+                collection = client[_mongo_database()][_mongo_collection()]
+                collection.create_index("expiresAt", expireAfterSeconds=0, background=True)
+            finally:
+                client.close()
+        except Exception:
+            logger.warning("tim_sequence.mongodb_ttl_index_failed", exc_info=True)
+        finally:
+            # The index is an observability housekeeping concern, not a
+            # prerequisite for sequence generation. Do not retry on every
+            # event if the application user lacks index privileges.
+            _mongo_index_checked = True
+
+
+async def _ensure_mongo_ttl_index_once(ttl_seconds: int) -> None:
+    await asyncio.to_thread(_ensure_mongo_ttl_index_once_sync, ttl_seconds)
+
+
+async def _next_sequence_mongodb(
+    key: str,
+    agent_id: str | None,
+    session_id: str | None,
+    transaction_id: str | None,
+    ttl_seconds: int,
+) -> int | None:
+    if not _mongo_uri():
+        return None
+    try:
+        await _ensure_mongo_ttl_index_once(ttl_seconds)
+        return await asyncio.to_thread(
+            _next_sequence_mongodb_sync,
+            key,
+            agent_id,
+            session_id,
+            transaction_id,
+            ttl_seconds,
+        )
+    except Exception:
+        logger.exception("tim_sequence.mongodb_failed key=%s", key)
+        return None
+
+
+async def _next_sequence_memory(key: str) -> int:
+    # Tiny in-process critical section; a thread lock is intentional because
+    # this fallback can be reached from more than one asyncio event loop.
+    with _memory_lock:
+        _memory_counters[key] += 1
+        return _memory_counters[key]
+
+
+async def next_sequence(
+    agent_id: str | None,
+    session_id: str | None,
+    transaction_id: str | None = None,
+) -> int | None:
+    """Return the next observer sequence isolated by transaction.
+
+    The preferred scope is only ``transaction_id``. Agent/event family must
+    never participate in the key because one transaction can emit events from
+    several components. ``session_id`` is used only as a backward-compatible
+    fallback. Redis and MongoDB increments remain atomic across replicas.
+    """
+    if not sequence_enabled() or (not transaction_id and not session_id):
+        return None
+
+    provider = _sequence_provider()
+    if provider == "none":
+        return None
+
+    key = build_sequence_key(agent_id, session_id, transaction_id)
+    ttl_seconds = _ttl_seconds()
+    value: int | None = None
+
+    if provider == "memory":
+        return await _next_sequence_memory(key)
+
+    if provider == "redis":
+        value = await _next_sequence_redis(key, ttl_seconds)
+    elif provider == "mongodb":
+        value = await _next_sequence_mongodb(
+            key, agent_id, session_id, transaction_id, ttl_seconds
+        )
+    else:  # auto
+        if _redis_url():
+            value = await _next_sequence_redis(key, ttl_seconds)
+        if value is None and _mongo_uri():
+            value = await _next_sequence_mongodb(
+                key, agent_id, session_id, transaction_id, ttl_seconds
+            )
+
+    if value is not None:
+        return value
+    if _fallback_enabled():
+        return await _next_sequence_memory(key)
+    return None
+
+
+async def ensure_sequence(payload: dict[str, Any]) -> dict[str, Any]:
+    """Inject sequence if missing, preserving explicit values from metadata/body.
+
+    Used by the flat Pub/Sub schema, where sessionId/agentId sit at the root.
+    For the nested analytics envelope (OCI Streaming) use
+    :func:`ensure_sequence_envelope`.
+    """
+    if not isinstance(payload, dict):
+        return payload
+    if payload.get("sequence") is not None:
+        return payload
+    session_id = payload.get("sessionId") or payload.get("session_id")
+    transaction_id = (
+        payload.get("transactionId")
+        or payload.get("transaction_id")
+        or payload.get("transactionID")
+    )
+    agent_id = payload.get("agentId") or payload.get("agent_id") or os.getenv("AGENT_NAME")
+    seq = await next_sequence(agent_id, session_id, transaction_id)
+    if seq is not None:
+        payload["sequence"] = seq
+    return payload
+
+
+async def ensure_sequence_envelope(event: dict[str, Any]) -> dict[str, Any]:
+    """Inject sequence into a ``build_analytics_event`` envelope.
+
+    The envelope shape is ``{eventType, source, eventDate, payload, metadata}``.
+    Unlike the flat Pub/Sub payload, sessionId/agentId are not at the root: they
+    live inside ``payload`` and/or ``metadata``. We read them from the merged
+    ``{**payload, **metadata}`` view, mirroring the flat mapper
+    (tim_payload_mapper.map_analytics_event_to_tim_flat_payload) and the legacy
+    observer (observer/api.py: metadata.sessionId -> sessionId).
+
+    The counter is written at the envelope root, as a sibling of ``eventType`` —
+    the faithful analog of the legacy flat payload where ``sequence`` sat next to
+    ``eventType``/``traceId``. The outer transport contract ``{type, payload}`` is
+    left untouched; only this inner field is added.
+    """
+    if not isinstance(event, dict):
+        return event
+    if event.get("sequence") is not None:
+        return event
+    body = event.get("payload") if isinstance(event.get("payload"), dict) else {}
+    metadata = event.get("metadata") if isinstance(event.get("metadata"), dict) else {}
+    data = {**body, **metadata}
+    session_id = data.get("sessionId") or data.get("session_id")
+    # Os adapters do BO emitem snake_case; o contrato TIM usa transactionId e
+    # payloads antigos trazem transactionID. Sem as tres grafias o contador cai
+    # em escopo de sessao e perde o isolamento por transacao.
+    transaction_id = (
+        data.get("transactionId")
+        or data.get("transaction_id")
+        or data.get("transactionID")
+    )
+    agent_id = data.get("agentId") or data.get("agent_id") or os.getenv("AGENT_NAME")
+    seq = await next_sequence(agent_id, session_id, transaction_id)
+    if seq is not None:
+        event["sequence"] = seq
+    return event

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/billing/__init__.py

@@ -0,0 +1 @@
+from .usage_repository import UsageRecord, UsageRepository, SQLiteUsageRepository, OracleUsageRepository, create_usage_repository

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/billing/usage_repository.py

@@ -0,0 +1,173 @@
+from __future__ import annotations
+
+import asyncio
+import json
+from dataclasses import dataclass, asdict
+from datetime import datetime, timezone
+from typing import Any
+
+from agent_framework.observability.context import get_observability_context
+
+@dataclass
+class UsageRecord:
+    provider: str
+    model: str
+    operation: str
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    cached_tokens: int = 0
+    total_tokens: int = 0
+    cost_usd: float = 0.0
+    cost_brl: float = 0.0
+    metadata: dict[str, Any] | None = None
+    request_id: str | None = None
+    session_id: str | None = None
+    tenant_id: str | None = None
+    agent_id: str | None = None
+    user_id: str | None = None
+    message_id: str | None = None
+    created_at: str | None = None
+
+    @classmethod
+    def from_usage(cls, provider: str, model: str, operation: str, usage: dict[str, Any], metadata: dict[str, Any] | None = None) -> "UsageRecord":
+        ctx = get_observability_context()
+        return cls(
+            provider=provider, model=model, operation=operation,
+            prompt_tokens=int(usage.get("prompt_tokens") or 0),
+            completion_tokens=int(usage.get("completion_tokens") or 0),
+            cached_tokens=int(usage.get("cached_tokens") or 0),
+            total_tokens=int(usage.get("total_tokens") or 0),
+            cost_usd=float(usage.get("cost_usd") or 0),
+            cost_brl=float(usage.get("cost_brl") or 0),
+            metadata=metadata or {}, request_id=ctx.request_id, session_id=ctx.session_id,
+            tenant_id=ctx.tenant_id, agent_id=ctx.agent_id, user_id=ctx.user_id,
+            message_id=ctx.message_id, created_at=datetime.now(timezone.utc),
+        )
+
+    def model_dump(self) -> dict[str, Any]:
+        return asdict(self)
+
+class UsageRepository:
+    async def record(self, usage: UsageRecord) -> None: ...
+    async def summarize(self, *, tenant_id: str | None = None, session_id: str | None = None) -> dict[str, Any]: ...
+
+class SQLiteUsageRepository(UsageRepository):
+    def __init__(self, settings):
+        from agent_framework.persistence.sqlite_store import SQLiteStore
+        self.store = SQLiteStore(settings.SQLITE_DB_PATH)
+        self._init_schema()
+
+    def _init_schema(self):
+        ddl = """
+        create table if not exists llm_usage_records (
+            id integer primary key autoincrement,
+            request_id text, session_id text, tenant_id text, agent_id text, user_id text, message_id text,
+            provider text not null, model text not null, operation text not null,
+            prompt_tokens integer not null default 0,
+            completion_tokens integer not null default 0,
+            cached_tokens integer not null default 0,
+            total_tokens integer not null default 0,
+            cost_usd real not null default 0,
+            cost_brl real not null default 0,
+            metadata_json text,
+            created_at text not null
+        );
+        create index if not exists idx_usage_tenant_created on llm_usage_records(tenant_id, created_at);
+        create index if not exists idx_usage_session_created on llm_usage_records(session_id, created_at);
+        """
+        with self.store._lock, self.store.connect() as con:
+            con.executescript(ddl)
+
+    async def record(self, usage: UsageRecord) -> None:
+        with self.store._lock, self.store.connect() as con:
+            con.execute("""
+                insert into llm_usage_records(
+                    request_id,session_id,tenant_id,agent_id,user_id,message_id,
+                    provider,model,operation,prompt_tokens,completion_tokens,cached_tokens,total_tokens,
+                    cost_usd,cost_brl,metadata_json,created_at
+                ) values(?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)
+            """, (
+                usage.request_id, usage.session_id, usage.tenant_id, usage.agent_id, usage.user_id, usage.message_id,
+                usage.provider, usage.model, usage.operation, usage.prompt_tokens, usage.completion_tokens,
+                usage.cached_tokens, usage.total_tokens, usage.cost_usd, usage.cost_brl,
+                json.dumps(usage.metadata or {}, ensure_ascii=False, default=str), usage.created_at,
+            ))
+
+    async def summarize(self, *, tenant_id: str | None = None, session_id: str | None = None) -> dict[str, Any]:
+        where=[]; params=[]
+        if tenant_id: where.append('tenant_id=?'); params.append(tenant_id)
+        if session_id: where.append('session_id=?'); params.append(session_id)
+        sql="""select count(*) calls, coalesce(sum(prompt_tokens),0) prompt_tokens,
+                      coalesce(sum(completion_tokens),0) completion_tokens,
+                      coalesce(sum(total_tokens),0) total_tokens,
+                      coalesce(sum(cost_usd),0) cost_usd,
+                      coalesce(sum(cost_brl),0) cost_brl
+               from llm_usage_records"""
+        if where: sql += ' where ' + ' and '.join(where)
+        with self.store._lock, self.store.connect() as con:
+            row=con.execute(sql, params).fetchone()
+        return dict(row) if row else {"calls":0,"prompt_tokens":0,"completion_tokens":0,"total_tokens":0,"cost_usd":0,"cost_brl":0}
+
+class OracleUsageRepository(UsageRepository):
+    def __init__(self, settings):
+        from agent_framework.persistence.oracle_store import OracleStore
+        self.store = OracleStore(settings)
+        self._init_schema()
+
+    def _init_schema(self):
+        with self.store.connect() as conn:
+            cur=conn.cursor()
+            self.store._exec_ddl_ignore_exists(cur, f"""
+                create table {self.store.t('LLM_USAGE_RECORD')} (
+                    ID number generated always as identity primary key,
+                    REQUEST_ID varchar2(128), SESSION_ID varchar2(256), TENANT_ID varchar2(128),
+                    AGENT_ID varchar2(128), USER_ID varchar2(256), MESSAGE_ID varchar2(256),
+                    PROVIDER varchar2(128) not null, MODEL varchar2(256) not null, OPERATION varchar2(128) not null,
+                    PROMPT_TOKENS number default 0, COMPLETION_TOKENS number default 0, CACHED_TOKENS number default 0,
+                    TOTAL_TOKENS number default 0, COST_USD number default 0, COST_BRL number default 0,
+                    METADATA_JSON clob check (METADATA_JSON is json), CREATED_AT timestamp with time zone not null
+                )
+            """)
+            self.store._exec_ddl_ignore_exists(cur, f"create index {self.store.t('IX_USAGE_TENANT')} on {self.store.t('LLM_USAGE_RECORD')}(TENANT_ID, CREATED_AT)")
+            self.store._exec_ddl_ignore_exists(cur, f"create index {self.store.t('IX_USAGE_SESSION')} on {self.store.t('LLM_USAGE_RECORD')}(SESSION_ID, CREATED_AT)")
+
+    async def record(self, usage: UsageRecord) -> None:
+        await asyncio.to_thread(self._record_sync, usage)
+
+    def _record_sync(self, usage: UsageRecord):
+        with self.store.connect() as conn:
+            conn.cursor().execute(f"""
+                insert into {self.store.t('LLM_USAGE_RECORD')}(
+                    REQUEST_ID,SESSION_ID,TENANT_ID,AGENT_ID,USER_ID,MESSAGE_ID,PROVIDER,MODEL,OPERATION,
+                    PROMPT_TOKENS,COMPLETION_TOKENS,CACHED_TOKENS,TOTAL_TOKENS,COST_USD,COST_BRL,METADATA_JSON,CREATED_AT
+                ) values(:1,:2,:3,:4,:5,:6,:7,:8,:9,:10,:11,:12,:13,:14,:15,:16,:17)
+            """, [
+                usage.request_id, usage.session_id, usage.tenant_id, usage.agent_id, usage.user_id, usage.message_id,
+                usage.provider, usage.model, usage.operation, usage.prompt_tokens, usage.completion_tokens, usage.cached_tokens,
+                usage.total_tokens, usage.cost_usd, usage.cost_brl, json.dumps(usage.metadata or {}, ensure_ascii=False, default=str), usage.created_at,
+            ])
+
+    async def summarize(self, *, tenant_id: str | None = None, session_id: str | None = None) -> dict[str, Any]:
+        return await asyncio.to_thread(self._summarize_sync, tenant_id, session_id)
+
+    def _summarize_sync(self, tenant_id, session_id):
+        where=[]; params={}
+        if tenant_id: where.append('TENANT_ID=:tenant_id'); params['tenant_id']=tenant_id
+        if session_id: where.append('SESSION_ID=:session_id'); params['session_id']=session_id
+        sql=f"""select count(*) CALLS, coalesce(sum(PROMPT_TOKENS),0) PROMPT_TOKENS,
+                       coalesce(sum(COMPLETION_TOKENS),0) COMPLETION_TOKENS,
+                       coalesce(sum(TOTAL_TOKENS),0) TOTAL_TOKENS,
+                       coalesce(sum(COST_USD),0) COST_USD,
+                       coalesce(sum(COST_BRL),0) COST_BRL
+                from {self.store.t('LLM_USAGE_RECORD')}"""
+        if where: sql += ' where ' + ' and '.join(where)
+        with self.store.connect() as conn:
+            cur=conn.cursor(); cur.execute(sql, params); row=cur.fetchone()
+            cols=[d[0].lower() for d in cur.description]
+            return dict(zip(cols,row)) if row else {}
+
+def create_usage_repository(settings) -> UsageRepository:
+    provider = getattr(settings, 'USAGE_REPOSITORY_PROVIDER', None) or getattr(settings, 'MEMORY_REPOSITORY_PROVIDER', 'memory')
+    if provider in {'autonomous','oracle'}:
+        return OracleUsageRepository(settings)
+    return SQLiteUsageRepository(settings)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/cache/cache.py

@@ -0,0 +1,184 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import time
+from datetime import datetime, timezone, timedelta
+from typing import Any
+
+logger = logging.getLogger("agent_framework.cache")
+
+
+class Cache:
+    async def get(self, key: str) -> Any | None: ...
+    async def set(self, key: str, value: Any, ttl_seconds: int | None = None) -> None: ...
+    async def delete(self, key: str) -> None: ...
+
+
+class InMemoryCache(Cache):
+    def __init__(self):
+        self._data: dict[str, tuple[Any, float | None]] = {}
+        self._lock = asyncio.Lock()
+
+    async def get(self, key):
+        async with self._lock:
+            item = self._data.get(key)
+            if not item:
+                return None
+            value, expires = item
+            if expires and expires < time.time():
+                self._data.pop(key, None)
+                return None
+            return value
+
+    async def set(self, key, value, ttl_seconds=None):
+        async with self._lock:
+            self._data[key] = (value, time.time() + ttl_seconds if ttl_seconds else None)
+
+    async def delete(self, key):
+        async with self._lock:
+            self._data.pop(key, None)
+
+
+class RedisCache(Cache):
+    """Redis L2 cache with redis-py sync/async compatibility and safe fallback."""
+    def __init__(self, settings):
+        self.url = settings.REDIS_URL
+        self.prefix = getattr(settings, "CACHE_KEY_PREFIX", "agentfw")
+        self._async = False
+        try:
+            import redis.asyncio as redis_async
+            self.client = redis_async.Redis.from_url(self.url, decode_responses=True)
+            self._async = True
+        except Exception:
+            import redis
+            self.client = redis.Redis.from_url(self.url, decode_responses=True)
+
+    def _key(self, key: str) -> str:
+        return f"{self.prefix}:{key}"
+
+    async def get(self, key):
+        try:
+            raw = await self.client.get(self._key(key)) if self._async else await asyncio.to_thread(self.client.get, self._key(key))
+            return json.loads(raw) if raw else None
+        except Exception:
+            logger.exception("Redis GET falhou key=%s", key)
+            return None
+
+    async def set(self, key, value, ttl_seconds=None):
+        raw = json.dumps(value, ensure_ascii=False, default=str)
+        try:
+            if self._async:
+                await self.client.set(self._key(key), raw, ex=ttl_seconds)
+            else:
+                await asyncio.to_thread(self.client.set, self._key(key), raw, ex=ttl_seconds)
+        except Exception:
+            logger.exception("Redis SET falhou key=%s", key)
+
+    async def delete(self, key):
+        try:
+            if self._async:
+                await self.client.delete(self._key(key))
+            else:
+                await asyncio.to_thread(self.client.delete, self._key(key))
+        except Exception:
+            logger.exception("Redis DELETE falhou key=%s", key)
+
+
+class SQLiteCache(Cache):
+    def __init__(self, settings):
+        from agent_framework.persistence.sqlite_store import SQLiteStore
+        self.store = SQLiteStore(settings.SQLITE_DB_PATH)
+
+    async def get(self, key):
+        return await asyncio.to_thread(self._get_sync, key)
+
+    def _get_sync(self, key):
+        with self.store._lock, self.store.connect() as con:
+            row = con.execute("select value_json, expires_at from cache_entries where key=?", (key,)).fetchone()
+            if not row:
+                return None
+            if row["expires_at"] and row["expires_at"] < time.time():
+                con.execute("delete from cache_entries where key=?", (key,))
+                return None
+            return json.loads(row["value_json"])
+
+    async def set(self, key, value, ttl_seconds=None):
+        await asyncio.to_thread(self._set_sync, key, value, ttl_seconds)
+
+    def _set_sync(self, key, value, ttl_seconds=None):
+        expires = time.time() + ttl_seconds if ttl_seconds else None
+        with self.store._lock, self.store.connect() as con:
+            con.execute(
+                "insert or replace into cache_entries(key,value_json,expires_at,created_at) values(?,?,?,?)",
+                (key, json.dumps(value, ensure_ascii=False, default=str), expires, self.store.now()),
+            )
+
+    async def delete(self, key):
+        await asyncio.to_thread(self._delete_sync, key)
+
+    def _delete_sync(self, key):
+        with self.store._lock, self.store.connect() as con:
+            con.execute("delete from cache_entries where key=?", (key,))
+
+
+class OracleCache(Cache):
+    def __init__(self, settings):
+        from agent_framework.persistence.oracle_store import OracleStore
+        self.store = OracleStore(settings)
+
+    async def get(self, key): return await self.store.cache_get(key)
+    async def set(self, key, value, ttl_seconds=None):
+        expires = datetime.now(timezone.utc) + timedelta(seconds=ttl_seconds) if ttl_seconds else None
+        await self.store.cache_set(key, value, expires_at=expires)
+    async def delete(self, key): await self.store.cache_delete(key)
+
+
+class DistributedCache(Cache):
+    """L1 memory + optional L2 Redis/SQLite/Oracle with telemetry hooks."""
+    def __init__(self, l1: Cache, l2: Cache | None = None, telemetry=None, default_ttl: int | None = None):
+        self.l1, self.l2, self.telemetry, self.default_ttl = l1, l2, telemetry, default_ttl
+
+    async def get(self, key):
+        v = await self.l1.get(key)
+        if v is not None:
+            if self.telemetry: await self.telemetry.cache_event("hit.l1", key, True)
+            return v
+        if not self.l2:
+            if self.telemetry: await self.telemetry.cache_event("miss", key, False)
+            return None
+        v = await self.l2.get(key)
+        if v is not None:
+            await self.l1.set(key, v, self.default_ttl)
+            if self.telemetry: await self.telemetry.cache_event("hit.l2", key, True)
+            return v
+        if self.telemetry: await self.telemetry.cache_event("miss", key, False)
+        return None
+
+    async def set(self, key, value, ttl_seconds=None):
+        ttl = ttl_seconds if ttl_seconds is not None else self.default_ttl
+        await self.l1.set(key, value, ttl)
+        if self.l2: await self.l2.set(key, value, ttl)
+        if self.telemetry: await self.telemetry.cache_event("set", key, None, {"ttl_seconds": ttl})
+
+    async def delete(self, key):
+        await self.l1.delete(key)
+        if self.l2: await self.l2.delete(key)
+        if self.telemetry: await self.telemetry.cache_event("delete", key, None)
+
+
+def create_cache(settings, telemetry=None):
+    l1 = InMemoryCache()
+    l2 = None
+    if getattr(settings, "ENABLE_REDIS_CACHE", False):
+        try:
+            l2 = RedisCache(settings)
+        except Exception:
+            logger.exception("Redis indisponível; cache seguirá apenas com L1 memória")
+            l2 = None
+    if l2 is None:
+        provider = getattr(settings, "CACHE_BACKEND_PROVIDER", "memory")
+        if provider == "sqlite": l2 = SQLiteCache(settings)
+        elif provider in {"autonomous", "oracle"}: l2 = OracleCache(settings)
+    return DistributedCache(l1, l2, telemetry=telemetry, default_ttl=getattr(settings, "CACHE_TTL_SECONDS", None))

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/channels/adapters.py

@@ -0,0 +1,69 @@
+from .base import ChannelAdapter, ChannelMessage, ChannelResponse
+
+
+def _merge_context(payload: dict) -> dict:
+    """Preserva todo payload como contexto.
+
+    Antes o WebAdapter só copiava payload["context"]. Com isso, campos como
+    business_context, msisdn, invoice_id e ura_call_id eram perdidos antes de
+    chegar ao workflow/MCP.
+    """
+    payload = dict(payload or {})
+    ctx = dict(payload.get("context") or {})
+    for k, v in payload.items():
+        if k != "context" and k not in ctx:
+            ctx[k] = v
+    return ctx
+
+
+class WebAdapter(ChannelAdapter):
+    name = "web"
+
+    async def normalize(self, payload):
+        payload = payload or {}
+        text = payload.get("message") or payload.get("text") or payload.get("content") or ""
+        return ChannelMessage(
+            channel="web",
+            text=text,
+            session_id=payload.get("session_id"),
+            user_id=payload.get("user_id"),
+            channel_id=payload.get("channel_id") or payload.get("channelId"),
+            context=_merge_context(payload),
+        )
+
+    async def render(self, response):
+        return response.model_dump()
+
+
+class WhatsAppAdapter(ChannelAdapter):
+    name = "whatsapp"
+
+    async def normalize(self, payload):
+        payload = payload or {}
+        return ChannelMessage(
+            channel="whatsapp",
+            channel_id=payload.get("from"),
+            text=payload.get("text") or payload.get("message") or "",
+            session_id=payload.get("session_id"),
+            context=_merge_context(payload),
+        )
+
+    async def render(self, response):
+        return {"to": response.metadata.get("channel_id"), "text": response.text, "session_id": response.session_id}
+
+
+class VoiceAdapter(ChannelAdapter):
+    name = "voice"
+
+    async def normalize(self, payload):
+        payload = payload or {}
+        return ChannelMessage(
+            channel="voice",
+            channel_id=payload.get("ani"),
+            text=payload.get("transcript") or payload.get("text") or payload.get("message") or "",
+            session_id=payload.get("session_id"),
+            context=_merge_context(payload),
+        )
+
+    async def render(self, response):
+        return {"speak": response.text, "session_id": response.session_id}

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/channels/base.py

@@ -0,0 +1,21 @@
+from pydantic import BaseModel, Field
+from typing import Any
+
+class ChannelMessage(BaseModel):
+    channel: str
+    channel_id: str | None = None
+    session_id: str | None = None
+    user_id: str | None = None
+    text: str
+    context: dict[str, Any] = Field(default_factory=dict)
+
+class ChannelResponse(BaseModel):
+    channel: str
+    session_id: str
+    text: str
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+class ChannelAdapter:
+    name = 'base'
+    async def normalize(self, payload: dict) -> ChannelMessage: ...
+    async def render(self, response: ChannelResponse) -> dict: ...

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/channels/gateway.py

@@ -0,0 +1,92 @@
+from __future__ import annotations
+
+from .adapters import WebAdapter, WhatsAppAdapter, VoiceAdapter, _merge_context
+from .base import ChannelMessage, ChannelResponse
+
+try:
+    from agent_framework.config.settings import settings
+except Exception:  # pragma: no cover
+    settings = None
+
+
+class ChannelGateway:
+    """Normalize and render messages at the Agent Framework boundary.
+
+    This class is used by the Agent Framework backend, not by the external
+    Channel Gateway service.
+
+    input_mode semantics:
+    - embedded: the backend may use internal channel adapters to interpret
+      simple/native channel payloads. This is useful for demos, labs and local
+      testing.
+    - external: the backend expects a GatewayRequest payload that was already
+      normalized by an external Channel Gateway. In this mode the backend does
+      not parse native WhatsApp, Voice, Teams, or other channel payloads.
+
+    Backward compatibility:
+    - The legacy constructor argument ``mode`` and setting
+      ``CHANNEL_GATEWAY_MODE`` are still accepted, but the preferred setting is
+      ``FRAMEWORK_CHANNEL_INPUT_MODE``.
+    """
+
+    def __init__(self, input_mode: str | None = None, mode: str | None = None):
+        configured = (
+            input_mode
+            or mode
+            or getattr(settings, "FRAMEWORK_CHANNEL_INPUT_MODE", None)
+            or getattr(settings, "CHANNEL_GATEWAY_MODE", None)
+            or "embedded"
+        )
+        self.input_mode = str(configured).strip().lower()
+        if self.input_mode not in {"embedded", "external"}:
+            raise ValueError(
+                "INVALID_FRAMEWORK_CHANNEL_INPUT_MODE: expected 'embedded' or 'external'"
+            )
+        # Compatibility with previous code that accessed gateway.mode.
+        self.mode = self.input_mode
+        self.adapters = {a.name: a for a in [WebAdapter(), WhatsAppAdapter(), VoiceAdapter()]}
+
+    def get(self, channel: str):
+        return self.adapters.get(channel, self.adapters["web"])
+
+    def _validate_external_payload(self, channel: str, payload: dict):
+        """Validate the payload portion of a GatewayRequest.
+
+        In external input mode, the backend is not accepting native channel
+        payloads. It expects req.channel plus req.payload.message at minimum.
+        Business keys remain optional because some journeys start without all
+        identifiers and are completed by IdentityResolver or the agent.
+        """
+        if not isinstance(channel, str) or not channel.strip():
+            raise ValueError("INVALID_GATEWAY_REQUEST: channel is required")
+        if not isinstance(payload, dict):
+            raise ValueError("INVALID_GATEWAY_REQUEST: payload must be an object")
+        message = payload.get("message")
+        if not isinstance(message, str) or not message.strip():
+            raise ValueError(
+                "INVALID_GATEWAY_REQUEST: payload.message is required and must be a non-empty string"
+            )
+
+    async def _normalize_external(self, channel: str, payload: dict) -> ChannelMessage:
+        self._validate_external_payload(channel, payload)
+        return ChannelMessage(
+            channel=channel,
+            text=payload.get("message"),
+            session_id=payload.get("session_id") or payload.get("session_key"),
+            user_id=payload.get("user_id"),
+            channel_id=payload.get("channel_id") or payload.get("channelId"),
+            context=_merge_context(payload),
+        )
+
+    async def normalize(self, channel: str, payload: dict) -> ChannelMessage:
+        if self.input_mode == "external":
+            return await self._normalize_external(channel, payload)
+        return await self.get(channel).normalize(payload)
+
+    async def render(self, response: ChannelResponse) -> dict:
+        if self.input_mode == "external":
+            # The external Channel Gateway owns the final translation back to
+            # WhatsApp, Voice, Teams, etc. The backend returns its canonical
+            # response shape.
+            return response.model_dump()
+        return await self.get(response.channel).render(response)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/channels/interruption.py

@@ -0,0 +1,156 @@
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any
+
+
+@dataclass(slots=True)
+class InterruptionDecision:
+    action: str  # process | replay | classify
+    text: str
+    replay_text: str = ""
+    reason: str = ""
+    is_interruptible: bool = True
+    terminal_status: str = ""
+    heard_text: str = ""
+
+
+def _idle_nudges(payload: dict[str, Any]) -> list[str]:
+    out: list[str] = []
+    seen: set[str] = set()
+    for event in payload.get("events") or []:
+        if not isinstance(event, dict) or event.get("type") != "idle_nudge":
+            continue
+        text = str(event.get("text") or "").strip()
+        if text and text not in seen:
+            seen.add(text)
+            out.append(text)
+    return out
+
+
+async def classify_processing_interruption(
+    llm: Any,
+    *,
+    original_agent: str,
+    original_client: str = "",
+    supplement_client: str = "",
+    profile_name: str = "processing_interruption_classifier",
+) -> bool:
+    """Decide se um barge-in interrompível exige regeneração da resposta.
+
+    Fail-safe: qualquer erro, resposta vazia ou formato inesperado retorna False,
+    fazendo replay da fala anterior. O domínio não conhece este classificador;
+    ele usa exclusivamente o LLMProvider do framework.
+    """
+    if llm is None:
+        return False
+    prompt = (
+        "Você classifica interrupções de voz durante uma resposta de atendimento. "
+        "Responda somente 1 ou 0.\n"
+        "1 = a fala/complemento do cliente adiciona ou altera informação relevante e "
+        "a resposta do agente deve ser regenerada.\n"
+        "0 = a interrupção não exige nova resposta; a fala anterior deve ser repetida.\n\n"
+        f"Última fala do agente: {original_agent}\n"
+        f"Última fala do cliente antes da resposta: {original_client}\n"
+        f"Complemento/interrupção atual: {supplement_client}\n"
+    )
+    try:
+        response = await llm.ainvoke(
+            [{"role": "system", "content": prompt}],
+            temperature=0,
+            max_tokens=8,
+            profile_name=profile_name,
+            component_name=profile_name,
+            generation_name=f"llm.{profile_name}",
+        )
+        raw = getattr(response, "content", response)
+        text = str(raw or "").strip()
+        return text.startswith("1")
+    except Exception:
+        return False
+
+
+def evaluate_interruption(
+    *,
+    payload: dict[str, Any],
+    message_text: str,
+    session_metadata: dict[str, Any] | None,
+    terminal_fallback_text: str = "",
+    terminal_fallback_status: str = "erro_falha_sistema",
+) -> InterruptionDecision:
+    """Framework-level replay/interruption policy.
+
+    - sessão terminal: replay da última fala/fallback, sem reabrir o workflow;
+    - idle_nudge: replay da última fala real;
+    - fala não interrompível: replay;
+    - fala interrompível com fala anterior: classificar antes de regenerar;
+    - sem contexto anterior suficiente: processar normalmente.
+    """
+    metadata = session_metadata or {}
+    last_text = str(metadata.get("last_assistant_text") or "").strip()
+    last_interruptible = bool(metadata.get("last_assistant_is_interruptible", True))
+
+    if bool(metadata.get("conversation_closed")):
+        replay_text = (
+            last_text
+            or str(metadata.get("terminal_replay_text") or "").strip()
+            or str(terminal_fallback_text or "").strip()
+        )
+        terminal_status = str(metadata.get("terminal_status") or "").strip() or terminal_fallback_status
+        if replay_text:
+            return InterruptionDecision(
+                action="replay",
+                text=message_text,
+                replay_text=replay_text,
+                reason="post_finalize",
+                is_interruptible=False,
+                terminal_status=terminal_status,
+            )
+
+    if _idle_nudges(payload) and last_text:
+        return InterruptionDecision(
+            action="replay",
+            text=message_text,
+            replay_text=last_text,
+            reason="idle_nudge",
+            is_interruptible=last_interruptible,
+        )
+
+    interruption = payload.get("processing_interruption")
+    if isinstance(interruption, dict):
+        heard = str(interruption.get("heard_text") or "").strip()
+        current_text = str(message_text or heard).strip()
+        if not last_interruptible and last_text:
+            return InterruptionDecision(
+                action="replay",
+                text=current_text,
+                replay_text=last_text,
+                reason="non_interruptible_speech",
+                is_interruptible=False,
+                heard_text=heard,
+            )
+        if last_text:
+            return InterruptionDecision(
+                action="classify",
+                text=current_text,
+                replay_text=last_text,
+                reason="interruptible_speech",
+                is_interruptible=True,
+                heard_text=heard,
+            )
+        return InterruptionDecision(
+            action="process",
+            text=current_text,
+            reason="interruptible_speech_no_history",
+            is_interruptible=True,
+            heard_text=heard,
+        )
+
+    return InterruptionDecision(action="process", text=message_text)
+
+
+__all__ = [
+    "InterruptionDecision",
+    "classify_processing_interruption",
+    "evaluate_interruption",
+]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/channels/transcription.py

@@ -0,0 +1,31 @@
+"""Correções determinísticas e conservadoras para transcrição de canal de voz."""
+from __future__ import annotations
+
+import re
+from typing import Mapping
+
+# Só falas inteiras entram nesta tabela. Nunca substitua tokens dentro de frases.
+DEFAULT_WHOLE_UTTERANCE_FIXES: dict[str, str] = {
+    "fim": "Sim",
+    "mim": "Sim",
+}
+
+_TRAILING_PUNCT = re.compile(r"[.!?]+$")
+
+
+def fix_whole_utterance_transcription(
+    text: str,
+    *,
+    fixes: Mapping[str, str] | None = None,
+) -> str:
+    raw = str(text or "")
+    stripped = raw.strip()
+    if not stripped:
+        return raw
+    candidate = _TRAILING_PUNCT.sub("", stripped).strip().casefold()
+    table = fixes or DEFAULT_WHOLE_UTTERANCE_FIXES
+    replacement = table.get(candidate)
+    return str(replacement) if replacement is not None else raw
+
+
+__all__ = ["DEFAULT_WHOLE_UTTERANCE_FIXES", "fix_whole_utterance_transcription"]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/checkpoints/__init__.py

@@ -0,0 +1,32 @@
+from .checkpoint_repository import (
+    AutonomousCheckpointRepository,
+    CheckpointIntegrityError,
+    CheckpointIntegrityService,
+    CheckpointRecoveryError,
+    InMemoryCheckpointRepository,
+    LangGraphCheckpointRepository,
+    OracleCheckpointRepository,
+    ResilientCheckpointRepository,
+    RetryPolicy,
+    SQLiteCheckpointRepository,
+    create_checkpoint_repository,
+    create_raw_checkpoint_repository,
+)
+from .langgraph_saver import RepositoryCheckpointSaver, create_langgraph_checkpointer
+
+__all__ = [
+    "AutonomousCheckpointRepository",
+    "CheckpointIntegrityError",
+    "CheckpointIntegrityService",
+    "CheckpointRecoveryError",
+    "InMemoryCheckpointRepository",
+    "LangGraphCheckpointRepository",
+    "OracleCheckpointRepository",
+    "RepositoryCheckpointSaver",
+    "ResilientCheckpointRepository",
+    "RetryPolicy",
+    "SQLiteCheckpointRepository",
+    "create_checkpoint_repository",
+    "create_langgraph_checkpointer",
+    "create_raw_checkpoint_repository",
+]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/checkpoints/checkpoint_repository.py

@@ -0,0 +1,425 @@
+from __future__ import annotations
+
+import asyncio
+import hashlib
+import json
+import logging
+import random
+import time
+import uuid
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from datetime import datetime, timezone
+from typing import Any, Iterable
+
+from agent_framework.persistence.sqlite_store import SQLiteStore
+
+logger = logging.getLogger("agent_framework.checkpoints")
+
+
+def _utc_now() -> str:
+    return datetime.now(timezone.utc).isoformat()
+
+
+def _json_dumps(value: Any) -> str:
+    return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":"), default=str)
+
+
+def _json_loads(value: str | bytes | None, default: Any):
+    if value is None:
+        return default
+    if isinstance(value, bytes):
+        value = value.decode("utf-8")
+    try:
+        return json.loads(value)
+    except Exception:
+        return default
+
+
+def _sha256(value: Any) -> str:
+    return hashlib.sha256(_json_dumps(value).encode("utf-8")).hexdigest()
+
+
+class CheckpointIntegrityError(RuntimeError):
+    """Raised when a persisted checkpoint envelope fails checksum validation."""
+
+
+class CheckpointRecoveryError(RuntimeError):
+    """Raised when recovery cannot find a valid checkpoint."""
+
+
+@dataclass(frozen=True)
+class RetryPolicy:
+    max_attempts: int = 3
+    base_delay_seconds: float = 0.05
+    max_delay_seconds: float = 1.0
+    jitter_seconds: float = 0.05
+
+
+class CheckpointIntegrityService:
+    """Creates and validates immutable checkpoint envelopes.
+
+    The repository stores an envelope instead of only the raw LangGraph payload:
+    - schema_version: enables future migrations;
+    - payload_hash: SHA-256 over the payload;
+    - envelope_id: idempotency/correlation id;
+    - compacted: marks synthetic compacted snapshots.
+    """
+
+    SCHEMA_VERSION = 1
+    ENVELOPE_MARKER = "agent_framework_checkpoint_envelope"
+
+    def wrap(self, thread_id: str, checkpoint: dict[str, Any], *, compacted: bool = False) -> dict[str, Any]:
+        payload = checkpoint or {}
+        return {
+            "_type": self.ENVELOPE_MARKER,
+            "schema_version": self.SCHEMA_VERSION,
+            "envelope_id": str(uuid.uuid4()),
+            "thread_id": thread_id,
+            "checkpoint_id": str(payload.get("checkpoint_id") or (payload.get("checkpoint") or {}).get("id") or uuid.uuid4()),
+            "payload_hash": _sha256(payload),
+            "payload": payload,
+            "compacted": bool(compacted),
+            "created_at": _utc_now(),
+        }
+
+    def is_envelope(self, value: dict[str, Any] | None) -> bool:
+        return isinstance(value, dict) and value.get("_type") == self.ENVELOPE_MARKER
+
+    def unwrap(self, value: dict[str, Any] | None) -> dict[str, Any] | None:
+        if value is None:
+            return None
+        if not self.is_envelope(value):
+            # Backwards compatibility with old checkpoints from previous project versions.
+            return value
+        expected = value.get("payload_hash")
+        payload = value.get("payload") or {}
+        actual = _sha256(payload)
+        if expected != actual:
+            raise CheckpointIntegrityError(
+                f"Checkpoint corrompido para thread_id={value.get('thread_id')}: hash esperado={expected}, hash atual={actual}"
+            )
+        if int(value.get("schema_version") or 0) > self.SCHEMA_VERSION:
+            raise CheckpointIntegrityError(
+                f"Checkpoint usa schema_version={value.get('schema_version')} maior que o suportado={self.SCHEMA_VERSION}"
+            )
+        return payload
+
+
+class LangGraphCheckpointRepository(ABC):
+    @abstractmethod
+    async def put(self, thread_id: str, checkpoint: dict[str, Any]) -> None: ...
+
+    @abstractmethod
+    async def get_latest(self, thread_id: str) -> dict[str, Any] | None: ...
+
+    async def list_latest(self, thread_id: str, limit: int = 20) -> list[dict[str, Any]]:
+        latest = await self.get_latest(thread_id)
+        return [latest] if latest else []
+
+    async def compact(self, thread_id: str, keep_last: int = 20) -> int:
+        return 0
+
+    @staticmethod
+    def is_valid_checkpoint(checkpoint):
+        if not isinstance(checkpoint, dict):
+            return False
+        if "v" in checkpoint:
+            return True
+        if (
+                "checkpoint" in checkpoint
+                and isinstance(checkpoint["checkpoint"], dict)
+                and "v" in checkpoint["checkpoint"]
+        ):
+            return True
+        return False
+
+class InMemoryCheckpointRepository(LangGraphCheckpointRepository):
+    def __init__(self):
+        self._data: dict[str, list[dict[str, Any]]] = {}
+
+    async def put(self, thread_id: str, checkpoint: dict[str, Any]):
+        self._data.setdefault(thread_id, []).append(checkpoint)
+
+    async def get_latest(self, thread_id: str):
+        items = self._data.get(thread_id, [])
+        return items[-1] if items else None
+
+    async def list_latest(self, thread_id: str, limit: int = 20) -> list[dict[str, Any]]:
+        return list(reversed(self._data.get(thread_id, [])[-limit:]))
+
+    async def compact(self, thread_id: str, keep_last: int = 20) -> int:
+        items = self._data.get(thread_id, [])
+        if len(items) <= keep_last:
+            return 0
+        removed = len(items) - keep_last
+        self._data[thread_id] = items[-keep_last:]
+        return removed
+
+
+class SQLiteCheckpointRepository(LangGraphCheckpointRepository):
+    def __init__(self, settings):
+        self.store = SQLiteStore(settings.SQLITE_DB_PATH)
+
+    async def put(self, thread_id: str, checkpoint: dict[str, Any]):
+        await asyncio.to_thread(self.store.put_checkpoint, thread_id, checkpoint)
+
+    async def get_latest(self, thread_id: str):
+        return await asyncio.to_thread(self.store.get_latest_checkpoint, thread_id)
+
+    async def list_latest(self, thread_id: str, limit: int = 20) -> list[dict[str, Any]]:
+        def _list():
+            with self.store.connect() as con:
+                rows = con.execute(
+                    "select checkpoint_json from workflow_checkpoints where thread_id=? order by id desc limit ?",
+                    (thread_id, int(limit)),
+                ).fetchall()
+            return [_json_loads(r["checkpoint_json"], None) for r in rows if r]
+
+        return await asyncio.to_thread(_list)
+
+    async def compact(self, thread_id: str, keep_last: int = 20) -> int:
+        def _compact():
+            with self.store.connect() as con:
+                rows = con.execute(
+                    "select id from workflow_checkpoints where thread_id=? order by id desc",
+                    (thread_id,),
+                ).fetchall()
+                ids = [int(r["id"]) for r in rows]
+                delete_ids = ids[int(keep_last):]
+                if not delete_ids:
+                    return 0
+                con.executemany("delete from workflow_checkpoints where id=?", [(i,) for i in delete_ids])
+                return len(delete_ids)
+
+        return await asyncio.to_thread(_compact)
+
+
+class OracleCheckpointRepository(LangGraphCheckpointRepository):
+    """Checkpoint repository real para Oracle/Autonomous Database.
+
+    O OracleStore já cria as tabelas FIRST-compatible. A compactação é best-effort:
+    remove checkpoints antigos quando o store expõe conexão e prefixo de tabelas.
+    """
+
+    def __init__(self, settings):
+        from agent_framework.persistence.oracle_store import OracleStore
+
+        self.store = OracleStore(settings)
+
+    async def put(self, thread_id: str, checkpoint: dict[str, Any]):
+        await self.store.put_checkpoint(thread_id, checkpoint)
+
+    async def get_latest(self, thread_id: str):
+        return await self.store.get_latest_checkpoint(thread_id)
+
+    async def list_latest(self, thread_id: str, limit: int = 20) -> list[dict[str, Any]]:
+        if not hasattr(self.store, "connect") or not hasattr(self.store, "t"):
+            return await super().list_latest(thread_id, limit)
+
+        def _list():
+            sql = f"""
+                select CHECKPOINT_JSON
+                from {self.store.t('WORKFLOW_CHECKPOINT')}
+                where THREAD_ID = :thread_id
+                order by ID desc
+                fetch first :limit rows only
+            """
+            with self.store.connect() as conn:
+                rows = conn.cursor().execute(sql, dict(thread_id=thread_id, limit=int(limit))).fetchall()
+            return [_json_loads(r[0], None) for r in rows if r]
+
+        return await asyncio.to_thread(_list)
+
+    async def compact(self, thread_id: str, keep_last: int = 20) -> int:
+        if not hasattr(self.store, "connect") or not hasattr(self.store, "t"):
+            return 0
+
+        def _compact():
+            table = self.store.t("WORKFLOW_CHECKPOINT")
+            sql_count = f"select count(*) from {table} where THREAD_ID = :thread_id"
+            sql_delete = f"""
+                delete from {table}
+                where THREAD_ID = :thread_id
+                  and ID not in (
+                    select ID from {table}
+                    where THREAD_ID = :thread_id
+                    order by ID desc
+                    fetch first :keep_last rows only
+                  )
+            """
+            with self.store.connect() as conn:
+                cur = conn.cursor()
+                before = int(cur.execute(sql_count, dict(thread_id=thread_id)).fetchone()[0])
+                cur.execute(sql_delete, dict(thread_id=thread_id, keep_last=int(keep_last)))
+                after = int(cur.execute(sql_count, dict(thread_id=thread_id)).fetchone()[0])
+                return max(0, before - after)
+
+        return await asyncio.to_thread(_compact)
+
+
+AutonomousCheckpointRepository = OracleCheckpointRepository
+
+
+class ResilientCheckpointRepository(LangGraphCheckpointRepository):
+    """Adds integrity, retry, compaction and recovery to any repository.
+
+    This wrapper is intentionally repository-neutral. It can protect memory,
+    SQLite and Oracle repositories without changing LangGraph code.
+    """
+
+    def __init__(
+        self,
+        inner: LangGraphCheckpointRepository,
+        *,
+        integrity: CheckpointIntegrityService | None = None,
+        retry_policy: RetryPolicy | None = None,
+        enable_integrity: bool = True,
+        enable_compaction: bool = True,
+        compact_every: int = 50,
+        keep_last: int = 20,
+        recovery_scan_limit: int = 25,
+    ):
+        self.inner = inner
+        self.integrity = integrity or CheckpointIntegrityService()
+        self.retry_policy = retry_policy or RetryPolicy()
+        self.enable_integrity = enable_integrity
+        self.enable_compaction = enable_compaction
+        self.compact_every = max(1, int(compact_every))
+        self.keep_last = max(1, int(keep_last))
+        self.recovery_scan_limit = max(1, int(recovery_scan_limit))
+        self._put_count_by_thread: dict[str, int] = {}
+
+    async def _with_retry(self, operation_name: str, coro_factory):
+        last_exc: Exception | None = None
+        for attempt in range(1, self.retry_policy.max_attempts + 1):
+            try:
+                return await coro_factory()
+            except Exception as exc:  # noqa: BLE001 - repository failures vary by backend
+                last_exc = exc
+                if attempt >= self.retry_policy.max_attempts:
+                    break
+                delay = min(
+                    self.retry_policy.max_delay_seconds,
+                    self.retry_policy.base_delay_seconds * (2 ** (attempt - 1)),
+                ) + random.uniform(0, self.retry_policy.jitter_seconds)
+                logger.warning("checkpoint.%s.retry attempt=%s delay=%.3fs error=%s", operation_name, attempt, delay, exc)
+                await asyncio.sleep(delay)
+        raise last_exc  # type: ignore[misc]
+
+    async def put(self, thread_id: str, checkpoint: dict[str, Any]) -> None:
+        payload = self.integrity.wrap(thread_id, checkpoint) if self.enable_integrity else checkpoint
+        await self._with_retry("put", lambda: self.inner.put(thread_id, payload))
+        self._put_count_by_thread[thread_id] = self._put_count_by_thread.get(thread_id, 0) + 1
+        if self.enable_compaction and self._put_count_by_thread[thread_id] % self.compact_every == 0:
+            try:
+                removed = await self.inner.compact(thread_id, keep_last=self.keep_last)
+                if removed:
+                    logger.info("checkpoint.compaction thread_id=%s removed=%s keep_last=%s", thread_id, removed, self.keep_last)
+            except Exception as exc:  # compaction must never break the user flow
+                logger.warning("checkpoint.compaction.failed thread_id=%s error=%s", thread_id, exc)
+
+    async def get_latest(self, thread_id: str) -> dict[str, Any] | None:
+        return await self.recover_latest(thread_id)
+
+    async def list_latest(self, thread_id: str, limit: int = 20) -> list[dict[str, Any]]:
+        raw_items = await self.inner.list_latest(thread_id, limit)
+        out: list[dict[str, Any]] = []
+        for item in raw_items:
+            try:
+                payload = self.integrity.unwrap(item) if self.enable_integrity else item
+                if payload is not None:
+                    out.append(payload)
+            except CheckpointIntegrityError:
+                continue
+        return out
+
+    async def compact(self, thread_id: str, keep_last: int = 20) -> int:
+        return await self.inner.compact(thread_id, keep_last=keep_last)
+
+    async def recover_latest(self, thread_id: str) -> dict[str, Any] | None:
+        """Return the newest valid LangGraph checkpoint, skipping corrupt or legacy records."""
+        raw_items = await self._with_retry(
+            "list_latest",
+            lambda: self.inner.list_latest(thread_id, self.recovery_scan_limit),
+        )
+
+        first_integrity_error: Exception | None = None
+        invalid_count = 0
+
+        for raw in raw_items:
+            try:
+                payload = self.integrity.unwrap(raw)
+
+                candidate = payload
+
+                if (
+                        isinstance(payload, dict)
+                        and "checkpoint" in payload
+                ):
+                    candidate = payload["checkpoint"]
+
+                if not self.is_valid_checkpoint(candidate):
+                    continue
+
+                return payload
+
+            except CheckpointIntegrityError as exc:
+                first_integrity_error = first_integrity_error or exc
+                logger.error(
+                    "checkpoint.recovery.skip_corrupt thread_id=%s error=%s",
+                    thread_id,
+                    exc,
+                )
+                continue
+
+        if first_integrity_error:
+            # No valid checkpoint: return None so the run starts clean instead of crashing ainvoke.
+            logger.error(
+                "checkpoint.recovery.no_valid_checkpoint thread_id=%s starting_fresh error=%s",
+                thread_id,
+                first_integrity_error,
+            )
+            return None
+
+        if invalid_count:
+            logger.warning(
+                "checkpoint.recovery.no_valid_langgraph_checkpoint "
+                "thread_id=%s invalid_count=%s",
+                thread_id,
+                invalid_count,
+            )
+
+        return None
+
+def _retry_policy_from_settings(settings) -> RetryPolicy:
+    return RetryPolicy(
+        max_attempts=int(getattr(settings, "CHECKPOINT_RETRY_MAX_ATTEMPTS", 3) or 3),
+        base_delay_seconds=float(getattr(settings, "CHECKPOINT_RETRY_BASE_DELAY_SECONDS", 0.05) or 0.05),
+        max_delay_seconds=float(getattr(settings, "CHECKPOINT_RETRY_MAX_DELAY_SECONDS", 1.0) or 1.0),
+        jitter_seconds=float(getattr(settings, "CHECKPOINT_RETRY_JITTER_SECONDS", 0.05) or 0.05),
+    )
+
+
+def create_raw_checkpoint_repository(settings):
+    provider = getattr(settings, "CHECKPOINT_REPOSITORY_PROVIDER", "memory")
+    if provider == "sqlite":
+        return SQLiteCheckpointRepository(settings)
+    if provider in {"autonomous", "oracle"}:
+        return OracleCheckpointRepository(settings)
+    return InMemoryCheckpointRepository()
+
+
+def create_checkpoint_repository(settings):
+    raw = create_raw_checkpoint_repository(settings)
+    if not bool(getattr(settings, "ENABLE_RESILIENT_CHECKPOINTER", True)):
+        return raw
+    return ResilientCheckpointRepository(
+        raw,
+        retry_policy=_retry_policy_from_settings(settings),
+        enable_integrity=bool(getattr(settings, "ENABLE_CHECKPOINT_INTEGRITY", True)),
+        enable_compaction=bool(getattr(settings, "ENABLE_CHECKPOINT_COMPACTION", True)),
+        compact_every=int(getattr(settings, "CHECKPOINT_COMPACT_EVERY", 50) or 50),
+        keep_last=int(getattr(settings, "CHECKPOINT_KEEP_LAST", 20) or 20),
+        recovery_scan_limit=int(getattr(settings, "CHECKPOINT_RECOVERY_SCAN_LIMIT", 25) or 25),
+    )

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/checkpoints/langgraph_saver.py

@@ -0,0 +1,454 @@
+from __future__ import annotations
+try:
+    from langgraph.checkpoint.base import BaseCheckpointSaver
+except Exception:  # pragma: no cover - fallback for lightweight unit tests without langgraph installed
+    class BaseCheckpointSaver:  # type: ignore[no-redef]
+        pass
+
+"""LangGraph checkpoint saver backed by the framework checkpoint repository.
+
+This module intentionally keeps a small adapter surface so the framework can run
+with multiple LangGraph versions. It implements the common synchronous and
+asynchronous methods used by BaseCheckpointSaver/MemorySaver: get_tuple,
+aget_tuple, put, aput, put_writes, aput_writes, list and alist.
+
+The persisted payload stores LangGraph's raw checkpoint/config/metadata values in
+repository-neutral JSON. When LangGraph is installed, checkpoint tuples are
+returned using CheckpointTuple; otherwise a simple dict is returned for tests.
+"""
+
+import asyncio
+import json
+import uuid
+from typing import Any, AsyncIterator, Iterator
+
+from .checkpoint_repository import create_checkpoint_repository
+
+
+def _parse_legacy_json_container(value: Any, expected: type) -> Any:
+    """Recover containers that older JSON backends persisted as JSON strings.
+
+    This is intentionally field-scoped: ordinary business strings must stay
+    strings, even if their text happens to look like JSON.
+    """
+    current = value
+    for _ in range(3):
+        if isinstance(current, expected):
+            return current
+        if not isinstance(current, str):
+            break
+        text = current.strip()
+        if not text:
+            break
+        if expected is dict and not text.startswith("{"):
+            break
+        if expected is list and not text.startswith("["):
+            break
+        try:
+            current = json.loads(text)
+        except Exception:
+            break
+    return current if isinstance(current, expected) else expected()
+
+
+def _strict_json_value(value: Any, *, path: str = "$") -> Any:
+    """Convert to repository-safe JSON without ever falling back to ``str``.
+
+    ``default=str`` is unsafe for LangGraph checkpoints: runtime/task objects can
+    become ordinary strings and later be consumed as typed values by Pregel.
+    Keep native JSON containers recursively and fail loudly for an unsupported
+    object instead of corrupting it silently.
+    """
+    if value is None or isinstance(value, (str, int, float, bool)):
+        return value
+    if isinstance(value, dict):
+        return {
+            str(key): _strict_json_value(item, path=f"{path}.{key}")
+            for key, item in value.items()
+        }
+    if isinstance(value, (list, tuple)):
+        return [
+            _strict_json_value(item, path=f"{path}[{idx}]")
+            for idx, item in enumerate(value)
+        ]
+    # Common durable scalar types that JSON does not know natively.
+    if isinstance(value, uuid.UUID):
+        return str(value)
+    try:
+        from datetime import date, datetime
+        if isinstance(value, (date, datetime)):
+            return value.isoformat()
+    except Exception:
+        pass
+    try:
+        from enum import Enum
+        if isinstance(value, Enum):
+            return _strict_json_value(value.value, path=path)
+    except Exception:
+        pass
+    if hasattr(value, "model_dump") and callable(value.model_dump):
+        return _strict_json_value(value.model_dump(), path=path)
+    raise TypeError(
+        f"Checkpoint contém valor não serializável em {path}: "
+        f"{type(value).__module__}.{type(value).__qualname__}"
+    )
+
+
+def _normalize_checkpoint(checkpoint: Any) -> dict[str, Any]:
+    checkpoint = _parse_legacy_json_container(checkpoint, dict)
+    if not isinstance(checkpoint, dict):
+        return {}
+    out = dict(checkpoint)
+    out["channel_values"] = _parse_legacy_json_container(out.get("channel_values"), dict)
+    out["channel_versions"] = _parse_legacy_json_container(out.get("channel_versions"), dict)
+    raw_seen = _parse_legacy_json_container(out.get("versions_seen"), dict)
+    out["versions_seen"] = {
+        str(node): _parse_legacy_json_container(versions, dict)
+        for node, versions in raw_seen.items()
+    }
+    if "pending_sends" in out:
+        out["pending_sends"] = _parse_legacy_json_container(out.get("pending_sends"), list)
+    if "updated_channels" in out and isinstance(out.get("updated_channels"), str):
+        out["updated_channels"] = _parse_legacy_json_container(out.get("updated_channels"), list)
+    return out
+
+
+def _normalize_metadata(metadata: Any) -> dict[str, Any]:
+    value = _parse_legacy_json_container(metadata, dict)
+    return value if isinstance(value, dict) else {}
+
+
+def _normalize_config(config: Any) -> dict[str, Any]:
+    value = _parse_legacy_json_container(config, dict)
+    if not isinstance(value, dict):
+        return {}
+    out = dict(value)
+    out["configurable"] = _parse_legacy_json_container(out.get("configurable"), dict)
+    return out
+
+
+_EPHEMERAL_RUNTIME_KEYS = {"__pregel_runtime", "__pregel_store"}
+
+
+def _strip_runtime_refs(value: Any) -> Any:
+    """Recursively remove process-local runtime/store references only.
+
+    Checkpoints may legitimately contain LangGraph internal channels whose names
+    also start with ``__pregel_`` (for example task channels). Those are durable
+    graph state and must be preserved. The corruption that triggers
+    ``str.override`` is specifically a runtime/store object captured inside a
+    nested RunnableConfig and later stringified by the JSON repository.
+    """
+    if isinstance(value, dict):
+        return {
+            key: _strip_runtime_refs(item)
+            for key, item in value.items()
+            if str(key) not in _EPHEMERAL_RUNTIME_KEYS
+        }
+    if isinstance(value, list):
+        return [_strip_runtime_refs(item) for item in value]
+    if isinstance(value, tuple):
+        return tuple(_strip_runtime_refs(item) for item in value)
+    return value
+
+
+def _durable_config(config: dict[str, Any] | None) -> dict[str, Any]:
+    """Return a checkpoint-safe copy of a LangGraph RunnableConfig.
+
+    LangGraph injects ephemeral private values such as ``__pregel_runtime`` and
+    ``__pregel_store`` under ``configurable`` while a graph is running. They are
+    process-local and must never cross the durable checkpoint boundary.
+
+    The scrub is recursive because task/pending-write config fragments may be
+    nested below regular config fields in newer LangGraph versions.
+    """
+    if not isinstance(config, dict):
+        return {}
+    cleaned = _strip_runtime_refs(config)
+    if not isinstance(cleaned, dict):
+        return {}
+    configurable = cleaned.get("configurable")
+    if isinstance(configurable, dict):
+        cleaned = dict(cleaned)
+        cleaned["configurable"] = {
+            key: value
+            for key, value in configurable.items()
+            if not str(key).startswith("__pregel_")
+        }
+    return cleaned
+
+
+def _canonical_checkpoint_config(
+    payload: dict[str, Any],
+    request_config: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    """Rebuild the RunnableConfig returned to LangGraph from durable IDs only.
+
+    Official LangGraph savers do not re-bind the full config that happened to be
+    present when a checkpoint was written. They reconstruct a fresh config from
+    ``thread_id``, ``checkpoint_ns`` and ``checkpoint_id``. Doing the same here
+    prevents a historical/factory-time runtime value from being rebound into a
+    new execution while remaining backward compatible with existing rows.
+    """
+    requested = _durable_config(request_config)
+    stored = _durable_config(_normalize_config(payload.get("config")) if isinstance(payload, dict) else None)
+    req_cfg = requested.get("configurable") if isinstance(requested.get("configurable"), dict) else {}
+    stored_cfg = stored.get("configurable") if isinstance(stored.get("configurable"), dict) else {}
+    checkpoint = payload.get("checkpoint") if isinstance(payload, dict) else {}
+    checkpoint = checkpoint if isinstance(checkpoint, dict) else {}
+
+    thread_id = (
+        req_cfg.get("thread_id")
+        or stored_cfg.get("thread_id")
+        or payload.get("thread_id")
+        or "default"
+    )
+    checkpoint_ns = req_cfg.get("checkpoint_ns")
+    if checkpoint_ns is None:
+        checkpoint_ns = stored_cfg.get("checkpoint_ns", "")
+
+    requested_checkpoint_id = req_cfg.get("checkpoint_id")
+    checkpoint_id = (
+        requested_checkpoint_id
+        or payload.get("checkpoint_id")
+        or checkpoint.get("id")
+        or stored_cfg.get("checkpoint_id")
+    )
+
+    configurable: dict[str, Any] = {
+        "thread_id": str(thread_id),
+        "checkpoint_ns": str(checkpoint_ns or ""),
+    }
+    if checkpoint_id not in (None, ""):
+        configurable["checkpoint_id"] = str(checkpoint_id)
+    return {"configurable": configurable}
+
+
+def _thread_id(config: dict[str, Any] | None) -> str:
+    configurable = (config or {}).get("configurable") or {}
+    return str(configurable.get("thread_id") or configurable.get("checkpoint_ns") or "default")
+
+
+def _checkpoint_id(checkpoint: dict[str, Any] | None) -> str:
+    if isinstance(checkpoint, dict):
+        return str(checkpoint.get("id") or checkpoint.get("checkpoint_id") or uuid.uuid4())
+    return str(uuid.uuid4())
+
+
+def _normalize_pending_writes(pending_writes: Any) -> list[tuple[Any, Any, Any]]:
+    """Normalize persisted pending_writes to LangGraph's expected runtime format.
+
+    LangGraph 1.1.x expects CheckpointTuple.pending_writes to be an iterable of
+    3-item tuples: (task_id, channel, value).
+
+    Older framework versions persisted writes as dictionaries containing
+    task_id, task_path, channel and value. Some stores/tests may also contain
+    4-item tuples: (task_id, task_path, channel, value). This adapter accepts
+    those legacy forms while preserving already-correct 3-item tuples.
+    """
+    normalized: list[tuple[Any, Any, Any]] = []
+    for item in pending_writes or []:
+        if isinstance(item, dict):
+            normalized.append((
+                item.get("task_id"),
+                item.get("channel"),
+                item.get("value"),
+            ))
+            continue
+
+        if isinstance(item, (list, tuple)):
+            if len(item) == 3:
+                task_id, channel, value = item
+                normalized.append((task_id, channel, value))
+                continue
+            if len(item) == 4:
+                task_id, _task_path, channel, value = item
+                normalized.append((task_id, channel, value))
+                continue
+
+        # Defensive fallback: keep malformed legacy entries from crashing resume.
+        # Use a synthetic channel so the data remains inspectable in telemetry/logs.
+        normalized.append((None, "__malformed_pending_write__", item))
+    return normalized
+
+
+class RepositoryCheckpointSaver(BaseCheckpointSaver):
+    """Checkpoint saver nativo para LangGraph usando os repositories do framework."""
+
+    def __init__(self, settings, repository=None):
+        super().__init__()
+        self.settings = settings
+        self.repository = repository or create_checkpoint_repository(settings)
+        self._loop: asyncio.AbstractEventLoop | None = None
+
+    def _run(self, coro):
+        try:
+            loop = asyncio.get_running_loop()
+        except RuntimeError:
+            return asyncio.run(coro)
+        # LangGraph may call sync methods from a worker thread; when already in
+        # an event loop prefer a short-lived thread to avoid nested-loop errors.
+        import concurrent.futures
+        with concurrent.futures.ThreadPoolExecutor(max_workers=1) as ex:
+            return ex.submit(lambda: asyncio.run(coro)).result()
+
+    def _make_tuple(
+        self,
+        payload: dict[str, Any] | None,
+        request_config: dict[str, Any] | None = None,
+    ):
+        if not payload:
+            return None
+        # Second-stage protection: never re-bind the full persisted RunnableConfig.
+        # Rebuild only the durable identifiers, as official LangGraph savers do.
+        config = _canonical_checkpoint_config(payload, request_config)
+        checkpoint = _strip_runtime_refs(_normalize_checkpoint(payload.get("checkpoint") or {}))
+        metadata = _strip_runtime_refs(_normalize_metadata(payload.get("metadata") or {}))
+        raw_parent_config = payload.get("parent_config")
+        if isinstance(raw_parent_config, dict):
+            parent_payload = {
+                "thread_id": payload.get("thread_id"),
+                "config": raw_parent_config,
+                "checkpoint_id": (raw_parent_config.get("configurable") or {}).get("checkpoint_id")
+                if isinstance(raw_parent_config.get("configurable"), dict)
+                else None,
+                "checkpoint": {},
+            }
+            parent_config = _canonical_checkpoint_config(parent_payload)
+        else:
+            parent_config = None
+        pending_writes = _normalize_pending_writes(
+            _strip_runtime_refs(payload.get("pending_writes") or [])
+        )
+        try:
+            from langgraph.checkpoint.base import CheckpointTuple
+            return CheckpointTuple(config=config, checkpoint=checkpoint, metadata=metadata, parent_config=parent_config, pending_writes=pending_writes)
+        except Exception:
+            return {
+                "config": _durable_config(config),
+                "checkpoint": checkpoint,
+                "metadata": metadata,
+                "parent_config": parent_config,
+                "pending_writes": pending_writes,
+            }
+
+    async def aget_tuple(self, config: dict[str, Any]):
+        return self._make_tuple(
+            await self.repository.get_latest(_thread_id(config)),
+            request_config=config,
+        )
+
+    def get_tuple(self, config: dict[str, Any]):
+        return self._run(self.aget_tuple(config))
+
+    async def aput(self, config: dict[str, Any], checkpoint: dict[str, Any], metadata: dict[str, Any] | None = None, new_versions: dict[str, Any] | None = None):
+        thread_id = _thread_id(config)
+        checkpoint_id = _checkpoint_id(checkpoint)
+        clean_config = _durable_config(config)
+        clean_cfg = clean_config.get("configurable") if isinstance(clean_config.get("configurable"), dict) else {}
+        checkpoint_ns = str(clean_cfg.get("checkpoint_ns") or "")
+        # Return a fresh canonical config. Never feed process-local/factory-time
+        # configurable values back into the next LangGraph super-step.
+        next_config = {
+            "configurable": {
+                "thread_id": thread_id,
+                "checkpoint_ns": checkpoint_ns,
+                "checkpoint_id": checkpoint_id,
+            }
+        }
+        await self.repository.put(thread_id, {
+            "thread_id": thread_id,
+            "config": _strict_json_value(next_config, path="$.config"),
+            "checkpoint": _strict_json_value(_strip_runtime_refs(_normalize_checkpoint(checkpoint)), path="$.checkpoint"),
+            "metadata": _strict_json_value(_strip_runtime_refs(_normalize_metadata(metadata or {})), path="$.metadata"),
+            "new_versions": _strict_json_value(_strip_runtime_refs(new_versions or {}), path="$.new_versions"),
+            "checkpoint_id": checkpoint_id,
+        })
+        return next_config
+
+    def put(self, config: dict[str, Any], checkpoint: dict[str, Any], metadata: dict[str, Any] | None = None, new_versions: dict[str, Any] | None = None):
+        return self._run(self.aput(config, checkpoint, metadata, new_versions))
+
+    async def aput_writes(self, config: dict[str, Any], writes: list[tuple[str, Any]], task_id: str, task_path: str = ""):
+        thread_id = _thread_id(config)
+        try:
+            latest = await self.repository.get_latest(thread_id) or {"thread_id": thread_id, "config": _durable_config(config), "checkpoint": {}, "metadata": {}}
+        except:
+            latest = {
+                "thread_id": thread_id,
+                "config": _durable_config(config),
+                "checkpoint": {},
+                "metadata": {},
+                "pending_writes": [],
+            }
+
+        if isinstance(latest, dict):
+            # Do not keep extending a persisted RunnableConfig across super-steps.
+            # Rebuild the same canonical config that aget_tuple() will expose.
+            latest["config"] = _canonical_checkpoint_config(latest, config)
+            if isinstance(latest.get("checkpoint"), dict):
+                latest["checkpoint"] = _strip_runtime_refs(latest.get("checkpoint"))
+            if isinstance(latest.get("metadata"), dict):
+                latest["metadata"] = _strip_runtime_refs(latest.get("metadata"))
+            if isinstance(latest.get("parent_config"), dict):
+                parent_payload = {
+                    "thread_id": latest.get("thread_id") or thread_id,
+                    "config": latest.get("parent_config"),
+                    "checkpoint_id": (latest.get("parent_config", {}).get("configurable") or {}).get("checkpoint_id")
+                    if isinstance(latest.get("parent_config", {}).get("configurable"), dict)
+                    else None,
+                    "checkpoint": {},
+                }
+                latest["parent_config"] = _canonical_checkpoint_config(parent_payload)
+
+        pending = list(latest.get("pending_writes") or [])
+        for channel, value in writes or []:
+            # Writes may contain nested task/RunnableConfig fragments. Scrub the
+            # private runtime before the repository's JSON ``default=str`` layer.
+            durable_value = _strip_runtime_refs(value)
+            pending.append({
+                "task_id": task_id,
+                "task_path": task_path,
+                "channel": channel,
+                "value": _strict_json_value(durable_value, path=f"$.pending_writes[{task_id}].{channel}"),
+            })
+        latest["pending_writes"] = pending
+        await self.repository.put(thread_id, latest)
+
+    def put_writes(self, config: dict[str, Any], writes: list[tuple[str, Any]], task_id: str, task_path: str = ""):
+        return self._run(self.aput_writes(config, writes, task_id, task_path))
+
+    async def alist(self, config: dict[str, Any] | None = None, *, filter: dict[str, Any] | None = None, before: dict[str, Any] | None = None, limit: int | None = None) -> AsyncIterator[Any]:
+        # Repository interface currently exposes only latest; this is enough for
+        # resume/recovery. Oracle/SQLite repositories can later implement full list.
+        if config is None:
+            return
+        item = await self.aget_tuple(config)
+        if item:
+            yield item
+
+    def list(self, config: dict[str, Any] | None = None, *, filter: dict[str, Any] | None = None, before: dict[str, Any] | None = None, limit: int | None = None) -> Iterator[Any]:
+        item = self.get_tuple(config or {}) if config else None
+        if item:
+            yield item
+
+
+def create_langgraph_checkpointer(settings):
+    """Factory used by applications when compiling LangGraph.
+
+    By default the framework now returns RepositoryCheckpointSaver even for
+    CHECKPOINT_REPOSITORY_PROVIDER=memory, because the repository wrapper adds
+    integrity checks, retry, recovery and compaction.
+
+    Set ENABLE_RESILIENT_CHECKPOINTER=false to fall back to LangGraph MemorySaver
+    for very small local experiments.
+    """
+    provider = getattr(settings, "CHECKPOINT_REPOSITORY_PROVIDER", "memory")
+    resilient = bool(getattr(settings, "ENABLE_RESILIENT_CHECKPOINTER", True))
+    if provider == "memory" and not resilient:
+        try:
+            from langgraph.checkpoint.memory import MemorySaver
+            return MemorySaver()
+        except Exception:
+            return RepositoryCheckpointSaver(settings)
+    return RepositoryCheckpointSaver(settings)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/config/agent_registry.py

@@ -0,0 +1,90 @@
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from pathlib import Path
+from typing import Any
+
+try:
+    import yaml
+except Exception:  # pragma: no cover
+    yaml = None
+
+
+@dataclass
+class AgentProfile:
+    agent_id: str
+    name: str = ""
+    description: str = ""
+    prompt_policy_path: str | None = None
+    routing_config_path: str | None = None
+    guardrails_config_path: str | None = None
+    judges_config_path: str | None = None
+    mcp_servers_config_path: str | None = None
+    tools_config_path: str | None = None
+    metadata: dict[str, Any] = field(default_factory=dict)
+
+
+class AgentProfileRegistry:
+    """Carrega perfis de agentes/templates a partir de YAML.
+
+    O objetivo é permitir múltiplos agent_template no mesmo backend sem misturar
+    memória, checkpoints, prompts, guardrails ou judges.
+    """
+
+    def __init__(self, settings):
+        self.settings = settings
+        self.base_dir = Path.cwd()
+        self.profiles: dict[str, AgentProfile] = {}
+        self.default_agent_id = "default_agent"
+        self._load()
+
+    def _resolve(self, value: str | None) -> str | None:
+        if not value:
+            return None
+        path = Path(value)
+        return str(path if path.is_absolute() else (self.base_dir / path).resolve())
+
+    def _load(self) -> None:
+        config_path = Path(getattr(self.settings, "AGENTS_CONFIG_PATH", "./config/agents.yaml"))
+        if not config_path.is_absolute():
+            config_path = self.base_dir / config_path
+        if not config_path.exists() or yaml is None:
+            self.profiles[self.default_agent_id] = AgentProfile(
+                agent_id=self.default_agent_id,
+                name="Default Agent",
+                prompt_policy_path=self._resolve(getattr(self.settings, "PROMPT_POLICY_PATH", None)),
+                routing_config_path=self._resolve(getattr(self.settings, "ROUTING_CONFIG_PATH", None)),
+                guardrails_config_path=self._resolve(getattr(self.settings, "GUARDRAILS_CONFIG_PATH", None)),
+                judges_config_path=self._resolve(getattr(self.settings, "JUDGES_CONFIG_PATH", None)),
+                mcp_servers_config_path=self._resolve(getattr(self.settings, "MCP_SERVERS_CONFIG_PATH", None)),
+                tools_config_path=self._resolve(getattr(self.settings, "TOOLS_CONFIG_PATH", None)),
+            )
+            return
+
+        raw = yaml.safe_load(config_path.read_text(encoding="utf-8")) or {}
+        self.default_agent_id = raw.get("default_agent_id") or self.default_agent_id
+        for item in raw.get("agents", []):
+            agent_id = str(item.get("agent_id") or item.get("id") or "").strip()
+            if not agent_id:
+                continue
+            self.profiles[agent_id] = AgentProfile(
+                agent_id=agent_id,
+                name=item.get("name", agent_id),
+                description=item.get("description", ""),
+                prompt_policy_path=self._resolve(item.get("prompt_policy_path") or getattr(self.settings, "PROMPT_POLICY_PATH", None)),
+                routing_config_path=self._resolve(item.get("routing_config_path") or getattr(self.settings, "ROUTING_CONFIG_PATH", None)),
+                guardrails_config_path=self._resolve(item.get("guardrails_config_path") or getattr(self.settings, "GUARDRAILS_CONFIG_PATH", None)),
+                judges_config_path=self._resolve(item.get("judges_config_path") or getattr(self.settings, "JUDGES_CONFIG_PATH", None)),
+                mcp_servers_config_path=self._resolve(item.get("mcp_servers_config_path") or getattr(self.settings, "MCP_SERVERS_CONFIG_PATH", None)),
+                tools_config_path=self._resolve(item.get("tools_config_path") or getattr(self.settings, "TOOLS_CONFIG_PATH", None)),
+                metadata=item.get("metadata") or {},
+            )
+        if self.default_agent_id not in self.profiles and self.profiles:
+            self.default_agent_id = next(iter(self.profiles))
+
+    def get(self, agent_id: str | None = None) -> AgentProfile:
+        key = agent_id or self.default_agent_id
+        return self.profiles.get(key) or self.profiles[self.default_agent_id]
+
+    def list_profiles(self) -> list[AgentProfile]:
+        return list(self.profiles.values())

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/config/observability_mapping.yaml

@@ -0,0 +1,82 @@
+version: "2"
+
+# Default compatibility registry shipped with agent_framework_oci.
+#
+# This file reproduces the historical behavior that used to be hardcoded in
+# OutputSupervisor / ParallelRailExecutor. It is ALWAYS loaded by the framework.
+# An agent/deployment observability_mapping.yaml is then applied as an overlay.
+#
+# Therefore an older agent can replace only the framework and keep the same
+# GRL contract and legacy guardrail actions without adding new configuration.
+mappings:
+  # Historical OutputSupervisor taxonomy.
+  guardrail.output_supervisor.started:
+    label: GRL.001
+  guardrail.result.allow:
+    label: GRL.002
+  guardrail.result.sanitize:
+    label: GRL.003
+  guardrail.result.block:
+    label: GRL.004
+  guardrail.result.retry:
+    label: GRL.005
+  guardrail.result.handover:
+    label: GRL.006
+  guardrail.result.observe:
+    label: GRL.007
+  guardrail.fail_closed:
+    label: GRL.008
+  guardrail.output_supervisor.completed:
+    label: GRL.009
+
+  # Named guardrail events historically emitted as GRL.<RAIL_CODE>.
+  guardrail.input_size: {label: GRL.INPUT_SIZE, aliases: [INPUT_SIZE, SIZE]}
+  guardrail.msk: {label: GRL.MSK, aliases: [MSK, PII]}
+  guardrail.tox: {label: GRL.TOX, aliases: [TOX]}
+  guardrail.pinj: {label: GRL.PINJ, aliases: [PINJ]}
+  guardrail.jailbreak: {label: GRL.JAILBREAK, aliases: [JAILBREAK]}
+  guardrail.vloop: {label: GRL.VLOOP, aliases: [VLOOP, LOOP]}
+  guardrail.dlex_in: {label: GRL.DLEX_IN, aliases: [DLEX_IN]}
+  guardrail.oos: {label: GRL.OOS, aliases: [OOS]}
+  guardrail.coer: {label: GRL.COER, aliases: [COER]}
+  guardrail.msk_out: {label: GRL.MSK_OUT, aliases: [MSK_OUT, OUTPUT_MSK]}
+  guardrail.toxout: {label: GRL.TOXOUT, aliases: [TOXOUT, TOX_OUT]}
+  guardrail.aoferta: {label: GRL.AOFERTA, aliases: [AOFERTA, PROACTIVE_OFFER]}
+  guardrail.dlex_out: {label: GRL.DLEX_OUT, aliases: [DLEX_OUT]}
+  guardrail.aluc_risk: {label: GRL.ALUC_RISK, aliases: [ALUC_RISK, HALLUCINATION_RISK]}
+  guardrail.ret_rel: {label: GRL.RET_REL, aliases: [RET_REL, RETRIEVAL_RELEVANCE]}
+  guardrail.ragsec: {label: GRL.RAGSEC, aliases: [RAGSEC]}
+  guardrail.tool_val: {label: GRL.TOOL_VAL, aliases: [TOOL_VAL, TOOL_VALIDATION]}
+
+  # Historical action-by-name behavior, now declarative.
+  guardrail.revprec:
+    label: GRL.REVPREC
+    action: retry
+    aliases: [REVPREC, PREMATURE_ACTION]
+  guardrail.cmp:
+    label: GRL.CMP
+    action: retry
+    aliases: [CMP, COMPLIANCE]
+  guardrail.sco:
+    label: GRL.SCO
+    action: retry
+    aliases: [SCO]
+  guardrail.gnd:
+    label: GRL.GND
+    action: retry
+    aliases: [GND, GROUNDEDNESS]
+  guardrail.handover:
+    action: handover
+    aliases: [HANDOVER, ATH, HUMAN]
+
+  # Historical FRASEOLOGIA special-case rewrite, now capability-driven.
+  guardrail.fraseologia:
+    label: GRL.FRASEOLOGIA
+    aliases: [FRASEOLOGIA]
+    remediation:
+      type: rewrite
+      max_attempts: 1
+      prompt_id: FALLBACK
+      profile_name: grl
+      component_name: guardrail.fraseologia.rewrite
+      generation_name: guardrail.fraseologia.rewrite

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/config/settings.py

@@ -0,0 +1,254 @@
+from functools import lru_cache
+from typing import Literal
+
+from dotenv import load_dotenv
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+# Load .env into os.environ as well.
+# Pydantic Settings reads .env for Settings fields, but parts of the calibrated
+# guardrails intentionally use os.getenv for compatibility with the original
+# guardrails package. Loading here keeps both paths consistent.
+load_dotenv(override=False)
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_file='.env', env_file_encoding='utf-8', extra='ignore')
+
+    APP_NAME: str = 'ai-agent-template'
+    APP_ENV: str = 'local'
+    LOG_LEVEL: str = 'INFO'
+    API_HOST: str = '0.0.0.0'
+    API_PORT: int = 8000
+    CORS_ORIGINS: str = 'http://localhost:5173'
+
+    LLM_PROVIDER: Literal['mock','oci_openai','oci_sdk','openai_compatible'] = 'mock'
+    LLM_TEMPERATURE: float = 0.2
+    LLM_MAX_TOKENS: int = 2048
+    LLM_TIMEOUT_SECONDS: int = 120
+    LLM_PROFILES_PATH: str = './llm_profiles.yaml'
+    # Reasoning controls. When absent from .env, auto is the default.
+    # auto = enable only when the provider/model capability resolver says it is supported.
+    # true = force-enable (the provider still performs SDK/request safety checks).
+    # false = never send reasoning_effort.
+    LLM_REASONING_ENABLED: Literal['auto','true','false'] = 'auto'
+    LLM_REASONING_EFFORT: str | None = None
+
+    OCI_GENAI_BASE_URL: str = ''
+    OCI_GENAI_MODEL: str = 'openai.gpt-4.1'
+    OCI_GENAI_API_KEY: str | None = None
+    OCI_GENAI_PROJECT_OCID: str | None = None
+    # OCI SDK authentication mode.
+    # config_file = ~/.oci/config profile (default/local development)
+    # instance_principal = OCI Instance Principal signer (Compute/OKE without API key)
+    # resource_principal = OCI Resource Principal signer (Functions/resource principal contexts)
+    OCI_AUTH_MODE: Literal['config_file','instance_principal','resource_principal', 'oke_workload_identity'] = 'config_file'
+    OCI_CONFIG_FILE: str = '~/.oci/config'
+    OCI_PROFILE: str = 'DEFAULT'
+    OCI_COMPARTMENT_ID: str | None = None
+    OCI_REGION: str = ''
+    OCI_GENAI_ENDPOINT: str | None = None
+    OCI_EMBEDDING_ENDPOINT: str | None = None
+
+    SESSION_REPOSITORY_PROVIDER: Literal['memory','sqlite','autonomous','oracle','mongodb'] = 'memory'
+    MEMORY_REPOSITORY_PROVIDER: Literal['memory','sqlite','autonomous','oracle','mongodb'] = 'memory'
+    CHECKPOINT_REPOSITORY_PROVIDER: Literal['memory','sqlite','autonomous','oracle','mongodb'] = 'memory'
+
+    # ConversationSummaryMemory: compressão de contexto conversacional.
+    # none    = não injeta histórico no prompt
+    # window  = injeta somente últimas mensagens
+    # summary = resumo acumulado + últimas mensagens completas
+    ENABLE_CONVERSATION_SUMMARY_MEMORY: bool = False
+    MEMORY_CONTEXT_STRATEGY: Literal['none','window','summary'] = 'window'
+    MEMORY_HISTORY_LIMIT: int = 80
+    MEMORY_RECENT_MESSAGES_LIMIT: int = 8
+    MEMORY_SUMMARY_TRIGGER_MESSAGES: int = 20
+    MEMORY_MAX_SUMMARY_CHARS: int = 6000
+    MEMORY_SUMMARY_USE_LLM: bool = True
+    MEMORY_INJECT_RECENT_MESSAGES: bool = True
+    MEMORY_INJECT_SUMMARY: bool = True
+
+    ENABLE_LONG_TERM_MEMORY: bool = False
+    LONG_TERM_MEMORY_PROVIDER: Literal['memory','sqlite','autonomous','oracle'] = 'sqlite'
+    LONG_TERM_MEMORY_SQLITE_PATH: str | None = None
+    LONG_TERM_MEMORY_TABLE: str = 'agentfw_long_term_memory'
+    LONG_TERM_MEMORY_ORACLE_TABLE: str | None = None
+    LONG_TERM_MEMORY_MAX_CONTEXT_ITEMS: int = 20
+    LONG_TERM_MEMORY_MIN_CONFIDENCE: float = 0.70
+    LONG_TERM_MEMORY_AUTO_EXTRACT: bool = True
+    LONG_TERM_MEMORY_INJECT_CONTEXT: bool = True
+
+    # LangGraph enterprise checkpointing
+    ENABLE_RESILIENT_CHECKPOINTER: bool = True
+    ENABLE_CHECKPOINT_INTEGRITY: bool = True
+    ENABLE_CHECKPOINT_COMPACTION: bool = True
+    CHECKPOINT_COMPACT_EVERY: int = 50
+    CHECKPOINT_KEEP_LAST: int = 20
+    CHECKPOINT_RECOVERY_SCAN_LIMIT: int = 25
+    CHECKPOINT_RETRY_MAX_ATTEMPTS: int = 3
+    CHECKPOINT_RETRY_BASE_DELAY_SECONDS: float = 0.05
+    CHECKPOINT_RETRY_MAX_DELAY_SECONDS: float = 1.0
+    CHECKPOINT_RETRY_JITTER_SECONDS: float = 0.05
+    USAGE_REPOSITORY_PROVIDER: Literal['sqlite','autonomous','oracle'] = 'sqlite'
+
+    ADB_USER: str | None = None
+    ADB_PASSWORD: str | None = None
+    ADB_DSN: str | None = None
+    ADB_WALLET_LOCATION: str | None = None
+    ADB_WALLET_PASSWORD: str | None = None
+    ADB_TABLE_PREFIX: str = 'AGENTFW'
+
+    MONGODB_URI: str = 'mongodb://localhost:27017'
+    MONGODB_DATABASE: str = 'agent_platform'
+    REDIS_URL: str = 'redis://localhost:6379/0'
+    ENABLE_REDIS_CACHE: bool = False
+    CACHE_KEY_PREFIX: str = 'agentfw'
+
+    VECTOR_STORE_PROVIDER: Literal['memory','sqlite','autonomous','oracle','mongodb'] = 'memory'
+    GRAPH_STORE_PROVIDER: Literal['memory','autonomous','oracle'] = 'memory'
+    ORACLE_GRAPH_NAME: str = 'AGENTFW_GRAPH'
+    ORACLE_GRAPH_AUTO_CREATE: bool = False
+    RAG_TOP_K: int = 5
+    SKIP_RAG_WHEN_MCP_SUFFICIENT: bool = True
+    ENABLE_RAG_QUERY_REWRITE: bool = False
+    ENABLE_RAG_CONTEXT_COMPRESSION: bool = False
+    ENABLE_RAG_GENERATION: bool = False
+    EMBEDDING_PROVIDER: Literal['mock','oci'] = 'mock'
+    OCI_EMBEDDING_MODEL: str = 'cohere.embed-multilingual-v3.0'
+
+    ENABLE_LANGFUSE: bool = False
+    LANGFUSE_TRACE_MODE: Literal['verbose','compact'] = 'verbose'
+    LANGFUSE_ROOT_SPAN_NAME: str = 'agent.gateway_message'
+    LANGFUSE_LEGACY_IO_FALLBACK: bool = True
+    LANGFUSE_PUBLIC_KEY: str | None = None
+    LANGFUSE_SECRET_KEY: str | None = None
+    LANGFUSE_HOST: str = 'https://cloud.langfuse.com'
+    MODEL_PRICES_JSON: str | None = None
+    USD_BRL_RATE: str | None = None
+    ENABLE_OTEL: bool = False
+    OTEL_EXPORTER_OTLP_ENDPOINT: str | None = None
+    OTEL_SERVICE_NAME: str = 'ai-agent-template'
+    # Dedicated NOC OpenTelemetry Logs channel. This is separate from trace/span OTel.
+    ENABLE_NOC_OTEL_LOGS: bool = False
+    OTEL_EXPORTER_OTLP_LOGS_ENDPOINT: str | None = None
+    OTEL_EXPORTER_OTLP_HOST_HEADER: str | None = None
+
+    ENABLE_ANALYTICS: bool = False
+    ANALYTICS_PROVIDERS: str = 'oci_streaming'
+    # Framework compatibility registry is loaded by default so legacy agents can
+    # adopt a newer framework without changing their observability/guardrail behavior.
+    OBSERVABILITY_DEFAULT_MAPPING_ENABLED: bool = True
+    OBSERVABILITY_DEFAULT_MAPPING_PATH: str | None = None
+    # Optional agent/deployment overlay applied on top of the framework defaults.
+    OBSERVABILITY_CODE_MAPPING_ENABLED: bool = False
+    OBSERVABILITY_CODE_MAPPING_PATH: str | None = None
+    GCP_PUBSUB_TOPIC_PATH: str | None = None
+    AGENT_PUBSUB_TOPIC: str | None = None
+    GCP_PROJECT_ID: str | None = None
+    GCP_PUBSUB_TOPIC: str | None = None
+    GCP_PUBSUB_TIMEOUT_SECONDS: float = 30.0
+    # Payload shape is a transport concern. Domain-specific adapters must be selected by the embedding application.
+    PUBSUB_PAYLOAD_MODE: Literal['flat','legacy','envelope','wrapped'] = 'flat'
+    # Match the old Observer behavior: NOC.* goes to OTel Logs, not Pub/Sub.
+    PUBSUB_EXCLUDE_NOC: bool = True
+
+    # Automatic Pub/Sub sequence generation.
+    # auto: Redis if configured; otherwise MongoDB if configured; otherwise memory fallback.
+    # mongodb: atomic find_one_and_update/$inc.
+    PUBSUB_SEQUENCE_ENABLED: bool = True
+    PUBSUB_SEQUENCE_PROVIDER: Literal['auto','redis','mongodb','mongo','memory','none'] = 'auto'
+    PUBSUB_SEQUENCE_REDIS_URL: str | None = None
+    PUBSUB_SEQUENCE_MONGODB_URI: str | None = None
+    PUBSUB_SEQUENCE_MONGODB_DATABASE: str | None = None
+    PUBSUB_SEQUENCE_MONGODB_COLLECTION: str = 'observer_sequences'
+    PUBSUB_SEQUENCE_TTL_SECONDS: int = 86400
+    PUBSUB_SEQUENCE_MEMORY_FALLBACK: bool = True
+    PUBSUB_SEQUENCE_KEY_PREFIX: str = 'observer:sequence'
+
+    ANALYTICS_FAIL_SILENT: bool = True
+
+    ENABLE_OCI_STREAMING: bool = False
+    OCI_STREAM_ENDPOINT: str | None = None
+    OCI_STREAM_OCID: str | None = None
+    OCI_STREAM_PARTITION_KEY: str = 'agent-events'
+
+    ENABLE_INPUT_GUARDRAILS: bool = True
+    ENABLE_OUTPUT_GUARDRAILS: bool = True
+    ENABLE_PARALLEL_GUARDRAILS: bool = True
+    GUARDRAILS_FAIL_FAST: bool = True
+    # Optional LLM inference points. Defaults keep the current deterministic behavior.
+    ENABLE_JUDGES: bool = True
+    ENABLE_SUPERVISOR: bool = True
+    ENABLE_OUTPUT_SUPERVISOR: bool = True
+    OUTPUT_SUPERVISOR_MAX_RETRIES: int = 3
+    GUARDRAILS_CONFIG_PATH: str = './config/guardrails.yaml'
+    JUDGES_CONFIG_PATH: str = './config/judges.yaml'
+    PROMPT_POLICY_PATH: str = './config/prompt_policy.yaml'
+    AGENTS_CONFIG_PATH: str = './config/agents.yaml'
+    ROUTING_CONFIG_PATH: str = './config/routing.yaml'
+    ENABLE_LLM_ROUTER: bool = False
+    ROUTING_MODE: Literal['router','supervisor'] = 'router'
+    # Semantic route stickiness. Uses an LLM profile; no regex or language rules.
+    ENABLE_ROUTE_STICKINESS: bool = False
+    ROUTE_STICKINESS_LLM_PROFILE: str = 'route_continuity'
+    ROUTE_STICKINESS_CONFIDENCE_THRESHOLD: float = 0.90
+    ROUTE_STICKINESS_HISTORY_TURNS: int = 2
+    ROUTE_STICKINESS_MAX_TOKENS: int = 80
+    HUMAN_HANDOFF_MESSAGE: str = 'Vou encaminhar seu atendimento para uma pessoa.'
+    END_SESSION_MESSAGE: str = 'Atendimento encerrado. Obrigado pelo contato.'
+    POST_FINALIZE_REPLAY_MESSAGE: str = (
+        'Por aqui finalizamos o tratamento da sua solicitação. '
+        'Aguarde um instante na linha.'
+    )
+    SESSION_ALREADY_ENDED_MESSAGE: str = 'Este atendimento já foi encerrado. Inicie uma nova sessão para continuar.'
+
+    # MCP / Tooling
+    ENABLE_MCP_TOOLS: bool = True
+    ENABLE_MCP_CACHE: bool = True
+    MCP_CACHE_TTL_SECONDS: int = 300
+    MCP_SERVERS_CONFIG_PATH: str = './config/mcp_servers.yaml'
+    TOOLS_CONFIG_PATH: str = './config/tools.yaml'
+    # Opcional. Se ausente, permanecem válidas as políticas legadas de tools.yaml.
+    TOOL_POLICIES_PATH: str | None = './config/tool_policies.yaml'
+    ENABLE_TRANSACTIONAL_WORKFLOWS: bool = False
+    WORKFLOWS_PATH: str = './workflows'
+    IDENTITY_CONFIG_PATH: str = './config/identity.yaml'
+    MCP_PARAMETER_MAPPING_PATH: str = './config/mcp_parameter_mapping.yaml'
+    MCP_TOOL_TIMEOUT_SECONDS: int = 30
+    # When enabled, the framework routes tool calls to the dedicated MCP Gateway
+    # instead of calling individual MCP servers directly. The gateway then owns
+    # server selection, retry, cache and policy enforcement.
+    MCP_GATEWAY_ENABLED: bool = False
+    MCP_GATEWAY_URL: str = 'http://localhost:8300'
+    MCP_GATEWAY_TIMEOUT_SECONDS: int = 60
+    MCP_GATEWAY_TOKEN: str | None = None
+    MCP_GATEWAY_AGENT_ID: str = 'telecom_contas'
+    MCP_GATEWAY_TENANT_ID: str = 'default'
+
+    DEFAULT_CHANNEL: str = 'web'
+    # Agent Framework channel input mode.
+    # embedded = backend may use internal adapters to interpret simple/native payloads.
+    # external = backend accepts only GatewayRequest payloads already normalized by an external Channel Gateway.
+    FRAMEWORK_CHANNEL_INPUT_MODE: Literal['embedded','external'] = 'embedded'
+    # Legacy alias kept for compatibility with older .env files. Prefer FRAMEWORK_CHANNEL_INPUT_MODE.
+    CHANNEL_GATEWAY_MODE: str | None = None
+    ENABLE_VOICE_ADAPTER: bool = True
+    ENABLE_WHATSAPP_ADAPTER: bool = True
+    ENABLE_TEXT_ADAPTER: bool = True
+
+
+    # FIRST-ready runtime options
+    SQLITE_DB_PATH: str = './data/agent_framework.db'
+    ENABLE_SSE: bool = True
+    SSE_KEEPALIVE_SECONDS: float = 15.0
+    SSE_EVENT_REPLAY_LIMIT: int = 100
+    ENABLE_MESSAGE_IDEMPOTENCY: bool = True
+    ENABLE_LOCAL_CACHE: bool = True
+    CACHE_TTL_SECONDS: int = 300
+    CACHE_BACKEND_PROVIDER: Literal['memory','sqlite','autonomous','oracle'] = 'memory'
+    SSE_STORE_PROVIDER: Literal['sqlite','autonomous','oracle'] | None = None
+
+@lru_cache
+def get_settings() -> Settings:
+    return Settings()
+
+settings = get_settings()

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/events/oci_streaming.py

@@ -0,0 +1,28 @@
+import json, base64, logging
+logger=logging.getLogger('agent_framework.streaming')
+
+class EventPublisher:
+    async def publish(self, event_type: str, payload: dict): ...
+
+class NoopEventPublisher(EventPublisher):
+    async def publish(self, event_type, payload):
+        logger.info('event.noop %s %s', event_type, payload)
+
+class OCIStreamingPublisher(EventPublisher):
+    def __init__(self, settings):
+        import oci
+        config = oci.config.from_file(settings.OCI_CONFIG_FILE, settings.OCI_PROFILE)
+        self.client = oci.streaming.StreamClient(config, service_endpoint=settings.OCI_STREAM_ENDPOINT)
+        self.stream_id = settings.OCI_STREAM_OCID
+        self.partition_key = settings.OCI_STREAM_PARTITION_KEY
+    async def publish(self, event_type, payload):
+        import oci
+        body = json.dumps({'type': event_type, 'payload': payload}, default=str).encode()
+        entry = oci.streaming.models.PutMessagesDetailsEntry(key=self.partition_key.encode(), value=body)
+        details = oci.streaming.models.PutMessagesDetails(messages=[entry])
+        self.client.put_messages(self.stream_id, details)
+
+def create_event_publisher(settings):
+    if settings.ENABLE_OCI_STREAMING and settings.OCI_STREAM_ENDPOINT and settings.OCI_STREAM_OCID:
+        return OCIStreamingPublisher(settings)
+    return NoopEventPublisher()

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/extensions.py

@@ -0,0 +1,47 @@
+from __future__ import annotations
+
+"""Extension SPI for agent-owned guardrails and judges.
+
+The framework owns execution, telemetry and lifecycle. Agents may contribute
+classes through YAML using ``type: external`` and ``class: module:Class``.
+No agent/domain package is imported unless explicitly declared in configuration.
+"""
+
+from importlib import import_module
+from typing import Any
+
+
+def load_external_class(path: str) -> type[Any]:
+    value = str(path or "").strip()
+    if not value:
+        raise ValueError("External component requires 'class: module:ClassName'")
+    if ':' in value:
+        module_name, class_name = value.rsplit(':', 1)
+    elif '.' in value:
+        module_name, class_name = value.rsplit('.', 1)
+    else:
+        raise ValueError(f"Invalid external class path: {value}")
+    module = import_module(module_name)
+    cls = getattr(module, class_name, None)
+    if cls is None or not isinstance(cls, type):
+        raise ValueError(f"External class not found: {value}")
+    return cls
+
+
+def instantiate_external(path: str, *, kwargs: dict[str, Any] | None = None, injected: dict[str, Any] | None = None) -> Any:
+    cls = load_external_class(path)
+    params = dict(kwargs or {})
+    for key, value in (injected or {}).items():
+        params.setdefault(key, value)
+    try:
+        return cls(**params)
+    except TypeError:
+        # Backward-friendly path for simple plugins with no constructor args.
+        if params:
+            obj = cls()
+            for key, value in params.items():
+                if not hasattr(obj, key):
+                    continue
+                setattr(obj, key, value)
+            return obj
+        raise

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/gateway_policy_context.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+def get_gateway_model_policy(state: dict[str, Any]) -> dict[str, Any] | None:
+    metadata = state.get("metadata") or {}
+    policy = metadata.get("model_policy")
+    return policy if isinstance(policy, dict) else None
+
+
+def apply_gateway_model_policy_to_llm_kwargs(
+    state: dict[str, Any],
+    fallback_profile: dict[str, Any] | None = None,
+) -> dict[str, Any]:
+    policy = get_gateway_model_policy(state)
+    if not policy:
+        return fallback_profile or {}
+
+    params = dict(policy.get("parameters") or {})
+    if policy.get("model"):
+        params["model"] = policy["model"]
+    if policy.get("provider"):
+        params["provider"] = policy["provider"]
+    if policy.get("profile"):
+        params["profile"] = policy["profile"]
+    return params

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/gateways/__init__.py

@@ -0,0 +1,3 @@
+from .mcp_gateway_client import MCPGatewayClient
+
+__all__ = ["MCPGatewayClient"]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/gateways/mcp_gateway_client.py

@@ -0,0 +1,50 @@
+from __future__ import annotations
+
+from typing import Any
+
+import httpx
+
+
+class MCPGatewayClient:
+    def __init__(self, base_url: str, token: str | None = None, timeout_seconds: int = 60):
+        self.base_url = base_url.rstrip("/")
+        self.token = token
+        self.timeout_seconds = timeout_seconds
+
+    def _headers(self) -> dict[str, str]:
+        return {"Authorization": f"Bearer {self.token}"} if self.token else {}
+
+    async def list_tools(self) -> dict[str, Any]:
+        async with httpx.AsyncClient(timeout=self.timeout_seconds) as client:
+            response = await client.get(f"{self.base_url}/v1/tools", headers=self._headers())
+            response.raise_for_status()
+            return response.json()
+
+    async def invoke_tool(
+        self,
+        *,
+        tenant_id: str,
+        agent_id: str,
+        channel: str | None,
+        tool_name: str,
+        arguments: dict[str, Any] | None = None,
+        business_context: dict[str, Any] | None = None,
+        metadata: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        payload = {
+            "tenant_id": tenant_id,
+            "agent_id": agent_id,
+            "channel": channel,
+            "tool_name": tool_name,
+            "arguments": arguments or {},
+            "business_context": business_context or {},
+            "metadata": metadata or {},
+        }
+        async with httpx.AsyncClient(timeout=self.timeout_seconds) as client:
+            response = await client.post(
+                f"{self.base_url}/v1/tools/{tool_name}/invoke",
+                json=payload,
+                headers=self._headers(),
+            )
+            response.raise_for_status()
+            return response.json()

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/__init__.py

@@ -0,0 +1,25 @@
+from .client import BackendClient
+from .config import BackendRegistry
+from .models import (
+    BackendCallResult,
+    BackendDefinition,
+    BackendRegistryConfig,
+    GlobalRouteDecision,
+    GlobalRouteRequest,
+    GlobalSessionState,
+)
+from .router import GlobalSupervisorRouter
+from .session_store import InMemoryGlobalSessionStore
+
+__all__ = [
+    "BackendClient",
+    "BackendRegistry",
+    "BackendCallResult",
+    "BackendDefinition",
+    "BackendRegistryConfig",
+    "GlobalRouteDecision",
+    "GlobalRouteRequest",
+    "GlobalSessionState",
+    "GlobalSupervisorRouter",
+    "InMemoryGlobalSessionStore",
+]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/client.py

@@ -0,0 +1,60 @@
+from __future__ import annotations
+
+import time
+from typing import Any
+
+import httpx
+
+from .models import BackendCallResult, BackendDefinition, GlobalRouteDecision
+
+
+class BackendClient:
+    def __init__(self, timeout_seconds: float = 120.0):
+        self.timeout_seconds = timeout_seconds
+
+    async def call_message(
+        self,
+        backend: BackendDefinition,
+        request_payload: dict[str, Any],
+        route_decision: GlobalRouteDecision,
+        use_sse: bool = False,
+    ) -> BackendCallResult:
+        path = backend.sse_message_path if use_sse else backend.message_path
+        url = f"{backend.base_url}{path}"
+        payload = dict(request_payload)
+        # Mantém compatibilidade com agent_template_backend.
+        payload.setdefault("agent_id", backend.default_agent_id)
+        payload.setdefault("tenant_id", request_payload.get("tenant_id"))
+        inner = payload.setdefault("payload", {}) if isinstance(payload.get("payload"), dict) else None
+        if inner is not None:
+            inner.setdefault("selected_backend", backend.backend_id)
+            inner.setdefault("global_route_decision", route_decision.model_dump(mode="json"))
+        started = time.time()
+        async with httpx.AsyncClient(timeout=self.timeout_seconds) as client:
+            resp = await client.post(url, json=payload)
+        elapsed_ms = int((time.time() - started) * 1000)
+        resp.raise_for_status()
+        data = resp.json()
+        return BackendCallResult(
+            backend_id=backend.backend_id,
+            backend_url=backend.base_url,
+            status_code=resp.status_code,
+            response=data,
+            route_decision=route_decision,
+            elapsed_ms=elapsed_ms,
+        )
+
+    async def health(self, backend: BackendDefinition) -> dict[str, Any]:
+        url = f"{backend.base_url}{backend.health_path}"
+        async with httpx.AsyncClient(timeout=10.0) as client:
+            try:
+                resp = await client.get(url)
+                return {"backend_id": backend.backend_id, "status_code": resp.status_code, "ok": resp.is_success, "body": self._safe_json(resp)}
+            except Exception as exc:
+                return {"backend_id": backend.backend_id, "ok": False, "error": str(exc)}
+
+    def _safe_json(self, resp: httpx.Response) -> Any:
+        try:
+            return resp.json()
+        except Exception:
+            return resp.text[:500]

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/config.py

@@ -0,0 +1,65 @@
+from __future__ import annotations
+
+from pathlib import Path
+from typing import Any
+
+import yaml
+
+from .models import BackendDefinition, BackendRegistryConfig
+
+
+class BackendRegistry:
+    def __init__(self, config: BackendRegistryConfig):
+        self.config = config
+        self.backends: dict[str, BackendDefinition] = {
+            b.backend_id: b for b in config.backends if b.enabled
+        }
+        if not self.backends:
+            raise ValueError("Nenhum backend habilitado no registry do Global Supervisor.")
+
+    @classmethod
+    def from_yaml(cls, path: str | Path) -> "BackendRegistry":
+        p = Path(path)
+        data = yaml.safe_load(p.read_text(encoding="utf-8")) or {}
+        raw_backends = data.get("backends") or []
+        # Aceita lista ou dict para facilitar edição humana do YAML.
+        if isinstance(raw_backends, dict):
+            normalized = []
+            for backend_id, value in raw_backends.items():
+                item = dict(value or {})
+                item.setdefault("backend_id", backend_id)
+                normalized.append(item)
+            raw_backends = normalized
+        config = BackendRegistryConfig(
+            default_backend=data.get("default_backend"),
+            backends=[BackendDefinition(**b) for b in raw_backends],
+        )
+        return cls(config)
+
+    def get(self, backend_id: str) -> BackendDefinition:
+        try:
+            return self.backends[backend_id]
+        except KeyError as exc:
+            raise KeyError(f"Backend não registrado ou desabilitado: {backend_id}") from exc
+
+    def default(self) -> BackendDefinition:
+        if self.config.default_backend and self.config.default_backend in self.backends:
+            return self.backends[self.config.default_backend]
+        return sorted(self.backends.values(), key=lambda b: b.priority)[0]
+
+    def list(self) -> list[BackendDefinition]:
+        return sorted(self.backends.values(), key=lambda b: (b.priority, b.backend_id))
+
+    def describe_for_prompt(self) -> str:
+        lines: list[str] = []
+        for b in self.list():
+            lines.append(
+                f"- {b.backend_id}: {b.description} | domínios={', '.join(b.domains)} | exemplos={'; '.join(b.examples[:3])}"
+            )
+        return "\n".join(lines)
+
+    def as_dict(self) -> dict[str, Any]:
+        return {
+            "default_backend": self.config.default_backend,
+            "backends": [b.model_dump(mode="json") for b in self.list()],
+        }

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/models.py

@@ -0,0 +1,79 @@
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Literal
+
+from pydantic import BaseModel, Field
+
+
+RoutingMode = Literal["router", "supervisor", "hybrid"]
+
+
+class BackendDefinition(BaseModel):
+    """Contrato de um backend de agente registrado no Global Supervisor."""
+
+    backend_id: str = Field(..., description="Identificador lógico. Ex.: contas, ofertas, suporte")
+    name: str | None = None
+    url: str = Field(..., description="Base URL do backend, sem barra final")
+    description: str = ""
+    domains: list[str] = Field(default_factory=list)
+    keywords: list[str] = Field(default_factory=list)
+    examples: list[str] = Field(default_factory=list)
+    priority: int = 100
+    enabled: bool = True
+    health_path: str = "/health"
+    message_path: str = "/gateway/message"
+    sse_message_path: str = "/gateway/message/sse"
+    events_path_template: str = "/gateway/events/{session_id}"
+    default_agent_id: str | None = None
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+    @property
+    def base_url(self) -> str:
+        return self.url.rstrip("/")
+
+
+class BackendRegistryConfig(BaseModel):
+    default_backend: str | None = None
+    backends: list[BackendDefinition] = Field(default_factory=list)
+
+
+class GlobalRouteRequest(BaseModel):
+    channel: str = "web"
+    payload: dict[str, Any] = Field(default_factory=dict)
+    tenant_id: str | None = None
+    session_id: str | None = None
+    current_backend: str | None = None
+    force_backend: str | None = None
+    mode: RoutingMode | None = None
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class GlobalRouteDecision(BaseModel):
+    backend_id: str
+    confidence: float = 0.0
+    reason: str = ""
+    mode: RoutingMode = "hybrid"
+    used_llm: bool = False
+    keep_active_backend: bool = False
+    candidates: list[dict[str, Any]] = Field(default_factory=list)
+    metadata: dict[str, Any] = Field(default_factory=dict)
+
+
+class BackendCallResult(BaseModel):
+    backend_id: str
+    backend_url: str
+    status_code: int
+    response: dict[str, Any]
+    route_decision: GlobalRouteDecision
+    elapsed_ms: int
+
+
+@dataclass
+class GlobalSessionState:
+    session_id: str
+    tenant_id: str = "default"
+    active_backend: str | None = None
+    active_domain: str | None = None
+    turn_count: int = 0
+    metadata: dict[str, Any] = field(default_factory=dict)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/router.py

@@ -0,0 +1,258 @@
+from __future__ import annotations
+
+import json
+import logging
+import re
+from typing import Any
+
+from .config import BackendRegistry
+from .models import BackendDefinition, GlobalRouteDecision, GlobalRouteRequest, RoutingMode
+from .session_store import InMemoryGlobalSessionStore
+
+logger = logging.getLogger("agent_framework.global_supervisor")
+
+_TERMINAL_WORDS = {
+    "obrigado", "obrigada", "valeu", "tchau", "encerrar", "fim", "cancelar atendimento"
+}
+
+
+class GlobalSupervisorRouter:
+    """Roteador global entre backends.
+
+    Modos:
+    - router: usa regras/keywords/domínios do YAML.
+    - supervisor: usa LLM para escolher backend.
+    - hybrid: mantém backend ativo quando coerente; usa router; chama LLM quando ambíguo.
+    """
+
+    def __init__(
+        self,
+        registry: BackendRegistry,
+        llm: Any | None = None,
+        session_store: InMemoryGlobalSessionStore | None = None,
+        mode: RoutingMode = "hybrid",
+        keep_active_backend: bool = True,
+        use_supervisor_on_conflict: bool = True,
+        min_router_confidence: float = 0.55,
+    ):
+        self.registry = registry
+        self.llm = llm
+        self.session_store = session_store or InMemoryGlobalSessionStore()
+        self.mode = mode
+        self.keep_active_backend = keep_active_backend
+        self.use_supervisor_on_conflict = use_supervisor_on_conflict
+        self.min_router_confidence = min_router_confidence
+
+    async def route(self, request: GlobalRouteRequest) -> GlobalRouteDecision:
+        mode = request.mode or self.mode
+        session_id = self._session_id(request)
+        tenant_id = request.tenant_id or request.payload.get("tenant_id") or "default"
+
+        if request.force_backend:
+            decision = self._forced_decision(request.force_backend, mode)
+            await self.session_store.set_active_backend(session_id, decision.backend_id, tenant_id, forced=True)
+            return decision
+
+        state = await self.session_store.get(session_id)
+        text = self._extract_text(request).strip()
+
+        if mode == "router":
+            decision = self._route_by_rules(text, mode)
+        elif mode == "supervisor":
+            decision = await self._route_by_llm(text, request, mode)
+        else:
+            decision = await self._route_hybrid(text, request, state, mode)
+
+        await self.session_store.set_active_backend(
+            session_id,
+            decision.backend_id,
+            tenant_id,
+            last_reason=decision.reason,
+            last_mode=decision.mode,
+            last_confidence=decision.confidence,
+        )
+        return decision
+
+    async def _route_hybrid(self, text: str, request: GlobalRouteRequest, state, mode: RoutingMode) -> GlobalRouteDecision:
+        # Se a conversa já tem backend ativo e a mensagem parece continuação curta, mantenha.
+        active_backend = request.current_backend or (state.active_backend if state else None)
+        if self.keep_active_backend and active_backend and active_backend in self.registry.backends:
+            if self._looks_like_followup(text):
+                return GlobalRouteDecision(
+                    backend_id=active_backend,
+                    confidence=0.78,
+                    reason="Mensagem parece continuação; mantendo backend ativo da sessão.",
+                    mode=mode,
+                    keep_active_backend=True,
+                )
+
+        rule_decision = self._route_by_rules(text, mode)
+        if rule_decision.confidence >= self.min_router_confidence:
+            return rule_decision
+
+        if self.use_supervisor_on_conflict and self.llm:
+            llm_decision = await self._route_by_llm(text, request, mode, fallback=rule_decision)
+            return llm_decision
+
+        if active_backend and active_backend in self.registry.backends:
+            return GlobalRouteDecision(
+                backend_id=active_backend,
+                confidence=0.50,
+                reason="Router ficou ambíguo; mantendo backend ativo por política híbrida.",
+                mode=mode,
+                keep_active_backend=True,
+                candidates=rule_decision.candidates,
+            )
+        return rule_decision
+
+    def _route_by_rules(self, text: str, mode: RoutingMode) -> GlobalRouteDecision:
+        normalized = self._normalize(text)
+        scored: list[tuple[float, BackendDefinition, list[str]]] = []
+        for backend in self.registry.list():
+            hits: list[str] = []
+            score = 0.0
+            for kw in backend.keywords:
+                nkw = self._normalize(kw)
+                if nkw and nkw in normalized:
+                    hits.append(kw)
+                    score += 1.0
+            for domain in backend.domains:
+                nd = self._normalize(domain)
+                if nd and nd in normalized:
+                    hits.append(domain)
+                    score += 0.7
+            if score:
+                # prioridade menor aumenta levemente confiança
+                score += max(0, (200 - backend.priority)) / 1000
+            scored.append((score, backend, hits))
+
+        scored.sort(key=lambda x: (-x[0], x[1].priority, x[1].backend_id))
+        best_score, best_backend, hits = scored[0] if scored else (0.0, self.registry.default(), [])
+        if best_score <= 0:
+            best_backend = self.registry.default()
+            confidence = 0.25
+            reason = "Nenhuma regra forte encontrada; usando backend default."
+        else:
+            # normalização simples para 0..1
+            confidence = min(0.95, 0.35 + best_score / 4)
+            reason = f"Backend escolhido por regras: matches={hits}."
+        candidates = [
+            {"backend_id": b.backend_id, "score": round(s, 3), "matches": h}
+            for s, b, h in scored[:5]
+        ]
+        return GlobalRouteDecision(
+            backend_id=best_backend.backend_id,
+            confidence=confidence,
+            reason=reason,
+            mode=mode,
+            used_llm=False,
+            candidates=candidates,
+        )
+
+    async def _route_by_llm(
+        self,
+        text: str,
+        request: GlobalRouteRequest,
+        mode: RoutingMode,
+        fallback: GlobalRouteDecision | None = None,
+    ) -> GlobalRouteDecision:
+        if not self.llm:
+            return fallback or self._route_by_rules(text, mode)
+        prompt = self._build_supervisor_prompt(text, request)
+        try:
+            raw = await self.llm.ainvoke([
+                {"role": "system", "content": "Você é um supervisor global de backends. Responda somente JSON válido."},
+                {"role": "user", "content": prompt},
+            ], temperature=0, profile_name="supervisor", component_name="supervisor", generation_name="llm.supervisor")
+            data = self._parse_json(raw)
+            backend_id = str(data.get("backend") or data.get("backend_id") or "").strip()
+            if backend_id not in self.registry.backends:
+                raise ValueError(f"LLM retornou backend inválido: {backend_id!r}")
+            return GlobalRouteDecision(
+                backend_id=backend_id,
+                confidence=float(data.get("confidence", 0.75)),
+                reason=str(data.get("reason", "Selecionado pelo supervisor LLM.")),
+                mode=mode,
+                used_llm=True,
+                candidates=(fallback.candidates if fallback else []),
+                metadata={"raw_llm": raw},
+            )
+        except Exception as exc:
+            logger.exception("Falha no supervisor LLM; usando fallback/router: %s", exc)
+            decision = fallback or self._route_by_rules(text, mode)
+            decision.reason = f"Fallback após falha do supervisor LLM: {decision.reason}"
+            return decision
+
+    def _build_supervisor_prompt(self, text: str, request: GlobalRouteRequest) -> str:
+        history = request.payload.get("history") or request.metadata.get("history") or []
+        return (
+            "Escolha o backend mais adequado para atender a mensagem do usuário.\n\n"
+            "Backends disponíveis:\n"
+            f"{self.registry.describe_for_prompt()}\n\n"
+            "Mensagem atual:\n"
+            f"{text}\n\n"
+            "Histórico/metadata resumidos:\n"
+            f"{json.dumps({'history': history[-6:] if isinstance(history, list) else history, 'metadata': request.metadata}, ensure_ascii=False)[:4000]}\n\n"
+            "Retorne somente JSON neste formato:\n"
+            '{"backend":"<id>","confidence":0.0,"reason":"..."}'
+        )
+
+    def _forced_decision(self, backend_id: str, mode: RoutingMode) -> GlobalRouteDecision:
+        self.registry.get(backend_id)
+        return GlobalRouteDecision(
+            backend_id=backend_id,
+            confidence=1.0,
+            reason="Backend forçado na requisição.",
+            mode=mode,
+            used_llm=False,
+        )
+
+    def _looks_like_followup(self, text: str) -> bool:
+        n = self._normalize(text)
+        if not n:
+            return True
+        if n in _TERMINAL_WORDS:
+            return False
+        tokens = n.split()
+        followup_markers = ["esse", "essa", "isso", "valor", "ele", "ela", "tambem", "e ", "entao", "nesse", "nessa"]
+        return len(tokens) <= 6 or any(marker in n for marker in followup_markers)
+
+    def _extract_text(self, request: GlobalRouteRequest) -> str:
+        payload = request.payload or {}
+        for key in ("text", "message", "input", "user_text"):
+            if payload.get(key):
+                return str(payload[key])
+        if isinstance(payload.get("payload"), dict):
+            inner = payload["payload"]
+            for key in ("text", "message", "input", "user_text"):
+                if inner.get(key):
+                    return str(inner[key])
+        return str(payload)
+
+    def _session_id(self, request: GlobalRouteRequest) -> str:
+        payload = request.payload or {}
+        return (
+            request.session_id
+            or payload.get("session_id")
+            or payload.get("conversation_key")
+            or request.metadata.get("session_id")
+            or "global-default-session"
+        )
+
+    def _normalize(self, text: str) -> str:
+        text = text.lower()
+        text = re.sub(r"[^a-z0-9áàâãéêíóôõúçñ\s]", " ", text)
+        text = re.sub(r"\s+", " ", text)
+        return text.strip()
+
+    def _parse_json(self, raw: Any) -> dict[str, Any]:
+        if isinstance(raw, dict):
+            return raw
+        text = str(raw).strip()
+        if text.startswith("```"):
+            text = re.sub(r"^```(?:json)?", "", text).strip()
+            text = re.sub(r"```$", "", text).strip()
+        match = re.search(r"\{.*\}", text, flags=re.S)
+        if match:
+            text = match.group(0)
+        return json.loads(text)

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/global_supervisor/session_store.py

@@ -0,0 +1,61 @@
+from __future__ import annotations
+
+import time
+from dataclasses import asdict
+
+from .models import GlobalSessionState
+
+
+class InMemoryGlobalSessionStore:
+    """Store simples para o Agent Gateway.
+
+    Em produção, use o mesmo repositório compartilhado dos backends
+    (Autonomous DB/Mongo/Redis) para manter handoff entre serviços.
+    """
+
+    def __init__(self, ttl_seconds: int = 3600):
+        self.ttl_seconds = ttl_seconds
+        self._data: dict[str, tuple[float, GlobalSessionState]] = {}
+
+    async def get(self, session_id: str) -> GlobalSessionState | None:
+        item = self._data.get(session_id)
+        if not item:
+            return None
+        ts, state = item
+        if time.time() - ts > self.ttl_seconds:
+            self._data.pop(session_id, None)
+            return None
+        return state
+
+    async def upsert(self, state: GlobalSessionState) -> None:
+        state.turn_count += 1
+        self._data[state.session_id] = (time.time(), state)
+
+    async def set_active_backend(self, session_id: str, backend_id: str, tenant_id: str = "default", **metadata) -> GlobalSessionState:
+        state = await self.get(session_id) or GlobalSessionState(session_id=session_id, tenant_id=tenant_id)
+        state.active_backend = backend_id
+        state.metadata.update(metadata)
+        await self.upsert(state)
+        return state
+
+    async def dump(self) -> dict:
+        return {k: asdict(v[1]) for k, v in self._data.items()}
+
+    async def rename_session(
+            self,
+            old_session_id: str,
+            new_session_id: str
+    ) -> GlobalSessionState | None:
+
+        item = self._data.pop(old_session_id, None)
+
+        if not item:
+            return None
+
+        ts, state = item
+
+        state.session_id = new_session_id
+
+        self._data[new_session_id] = (ts, state)
+
+        return state

agent_framework_oci/libs/agent_framework/build/lib/agent_framework/guardrails/__init__.py

@@ -0,0 +1,60 @@
+from .base import Guardrail, RailDecision
+from .pipeline import GuardrailPipeline
+from .llm_rails import LLMGuardrailRail, LLMOutputGRLRail
+from .rails import (
+    ComplianceRail,
+    DataLeakageInputRail,
+    DataLeakageOutputRail,
+    GroundednessRail,
+    HallucinationRiskRail,
+    JailbreakRail,
+    LoopRail,
+    MessageSizeRail,
+    OutOfScopeRail,
+    OutputPiiMaskRail,
+    OutputToxicitySanitizationRail,
+    PiiMaskRail,
+    PrematureActionRail,
+    ProactiveOfferRail,
+    PromptInjectionRail,
+    RagSecurityRail,
+    RetrievalRelevanceRail,
+    ToolValidationRail,
+    ToxicityRail,
+)
+
+__all__ = [
+    "Guardrail",
+    "RailDecision",
+    "GuardrailPipeline",
+    "LLMGuardrailRail",
+    "LLMOutputGRLRail",
+    "PiiMaskRail",
+    "OutputPiiMaskRail",
+    "OutputToxicitySanitizationRail",
+    "ToxicityRail",
+    "PromptInjectionRail",
+    "JailbreakRail",
+    "MessageSizeRail",
+    "OutOfScopeRail",
+    "LoopRail",
+    "PrematureActionRail",
+    "ProactiveOfferRail",
+    "RagSecurityRail",
+    "ComplianceRail",
+    "DataLeakageInputRail",
+    "DataLeakageOutputRail",
+    "GroundednessRail",
+    "HallucinationRiskRail",
+    "RetrievalRelevanceRail",
+    "ToolValidationRail",
+    "ParallelRailExecutor",
+    "ParallelRailExecution",
+]
+from .rail_action import RailAction
+from .rail_result import RailResult
+from .rail_decision import RailDecisionV2
+from .output_supervisor import OutputSupervisor
+from .custom_rails import CustomRails
+
+from .parallel_executor import ParallelRailExecutor, ParallelRailExecution