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https://github.com/hoshikawa2/agent_platform_oci.git
synced 2026-09-07 10:13:46 +00:00
bugfix: aofertas
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@@ -0,0 +1,195 @@
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###############################################################################
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# AI AGENT PLATFORM - CONFIGURAÇÃO ÚNICA
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# Este arquivo é lido por Pydantic Settings no framework e no backend template.
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###############################################################################
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APP_NAME=ai-agent-template
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APP_ENV=local
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LOG_LEVEL=INFO
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API_HOST=0.0.0.0
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API_PORT=8000
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CORS_ORIGINS=http://localhost:5173,http://127.0.0.1:5173
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###############################################################################
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# LLM - OCI Generative AI como provider principal
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###############################################################################
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# Opções: mock, oci_openai, oci_sdk, openai_compatible
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LLM_PROVIDER=oci_openai
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LLM_TEMPERATURE=0.2
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LLM_MAX_TOKENS=2048
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LLM_TIMEOUT_SECONDS=120
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# OCI OpenAI-compatible endpoint
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OCI_GENAI_BASE_URL=https://inference.generativeai.us-chicago-1.oci.oraclecloud.com/openai/v1
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OCI_GENAI_MODEL=openai.gpt-4.1
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OCI_GENAI_API_KEY=sk-ph3FgX6ph3FgX6ph3FgX6ph3FgX6ph3FgX6ph3FgX6
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OCI_GENAI_PROJECT_OCID=
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# OCI SDK / signer / profiles
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OCI_CONFIG_FILE=~/.oci/config
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OCI_PROFILE=DEFAULT
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OCI_COMPARTMENT_ID=ocid1.compartment.oc1..aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
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OCI_REGION=us-chicago-1
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###############################################################################
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# Persistência
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###############################################################################
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# Opções: memory, autonomous, mongodb
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SESSION_REPOSITORY_PROVIDER=sqlite
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MEMORY_REPOSITORY_PROVIDER=sqlite
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CHECKPOINT_REPOSITORY_PROVIDER=sqlite
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SQLITE_DB_PATH=./data/agent_framework.db
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# Autonomous Database
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ADB_USER=admin
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ADB_PASSWORD=fjhsdf04954hf
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ADB_DSN=oradb23aidev_high
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ADB_WALLET_LOCATION=/ORACLE/DEFAULT/Wallet_ORADB23aiDev
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ADB_WALLET_PASSWORD=fjhsdf04954hf
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ADB_TABLE_PREFIX=AGENTFW
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# MongoDB - também pode representar Autonomous usando API compatível com Mongo, se habilitada no ambiente
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MONGODB_URI=mongodb://mongo:mongopassword@localhost:27017
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MONGODB_DATABASE=agent_platform
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# Redis
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REDIS_URL=redis://localhost:6379/0
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ENABLE_REDIS_CACHE=false
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###############################################################################
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# RAG / Vector / Graph
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###############################################################################
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VECTOR_STORE_PROVIDER=sqlite
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GRAPH_STORE_PROVIDER=sqlite
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RAG_TOP_K=5
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EMBEDDING_PROVIDER=mock
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OCI_EMBEDDING_MODEL=cohere.embed-multilingual-v3.0
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RAG_FILE_GLOBS=*.md,*.txt,*.yaml,*.yml,*.json
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###############################################################################
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# Observabilidade
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###############################################################################
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ENABLE_LANGFUSE=true
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LANGFUSE_TRACE_MODE=compact # Opcional: verbose, compact
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LANGFUSE_PUBLIC_KEY=pk-lf-2f9da109-5b0f-4c78-b61d-9598ed787eba
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LANGFUSE_SECRET_KEY=sk-lf-a4cb0cdd-f2ea-4468-9911-cebeb91ba944
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LANGFUSE_HOST=http://localhost:3005
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ENABLE_OTEL=false
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OTEL_EXPORTER_OTLP_ENDPOINT=
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OTEL_SERVICE_NAME=ai-agent-template
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ENABLE_LANGFUSE_OPENAI_AUTO_INSTRUMENTATION=true
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###############################################################################
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# Analytics / Observer corporativo
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###############################################################################
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# Quando true, AgentObserver publica eventos IC.*, NOC.* e GRL.* nos providers abaixo.
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ENABLE_ANALYTICS=false
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# Providers aceitos: oci_streaming,pubsub,noop
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ANALYTICS_PROVIDERS=pubsub
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# Compatibilidade FIRST/TIM: pode informar AGENT_PUBSUB_TOPIC diretamente.
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AGENT_PUBSUB_TOPIC=
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GCP_PUBSUB_TOPIC_PATH=
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GCP_PROJECT_ID=
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GCP_PUBSUB_TOPIC=
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GCP_PUBSUB_TIMEOUT_SECONDS=30
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# Credencial GCP segue padrão Google:
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# GOOGLE_APPLICATION_CREDENTIALS=/secrets/gcp-service-account.json
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###############################################################################
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# OCI Streaming
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###############################################################################
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ENABLE_OCI_STREAMING=false
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OCI_STREAM_ENDPOINT=
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OCI_STREAM_OCID=
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OCI_STREAM_PARTITION_KEY=agent-events
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###############################################################################
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# Guardrails, Judges, Supervisor
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###############################################################################
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ENABLE_INPUT_GUARDRAILS=true
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ENABLE_OUTPUT_GUARDRAILS=true
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ENABLE_JUDGES=true
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ENABLE_SUPERVISOR=true
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ENABLE_OUTPUT_SUPERVISOR=true
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ENABLE_PARALLEL_GUARDRAILS=true
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GUARDRAILS_FAIL_FAST=true
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OUTPUT_SUPERVISOR_MAX_RETRIES=3
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GUARDRAILS_CONFIG_PATH=./config/guardrails.yaml
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JUDGES_CONFIG_PATH=./config/judges.yaml
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PROMPT_POLICY_PATH=./config/prompt_policy.yaml
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###############################################################################
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# Gateway de canais
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###############################################################################
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DEFAULT_CHANNEL=web
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# embedded = backend may parse simple/native channel payloads.
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# external = backend only accepts GatewayRequest normalized by an external Channel Gateway.
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FRAMEWORK_CHANNEL_INPUT_MODE=embedded
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ENABLE_VOICE_ADAPTER=true
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ENABLE_WHATSAPP_ADAPTER=true
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ENABLE_TEXT_ADAPTER=true
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#################################################
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# ENTERPRISE ROUTING
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#################################################
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# Arquivo YAML com intents, keywords, políticas de estado e fallback.
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ROUTING_CONFIG_PATH=./config/routing.yaml
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# true = usa LLM para classificar quando keywords/estado não resolverem.
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# Em produção, costuma ser útil; em desenvolvimento, false evita custo e latência.
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ENABLE_LLM_ROUTER=true
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###############################################################################
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# MCP / Tools
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###############################################################################
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ENABLE_MCP_TOOLS=true
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MCP_SERVERS_CONFIG_PATH=./config/mcp_servers.yaml
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TOOLS_CONFIG_PATH=./config/tools.yaml
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TOOL_POLICIES_PATH=./config/tool_policies.yaml
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MCP_TOOL_TIMEOUT_SECONDS=30
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# router = EnterpriseRouter seleciona um agente; supervisor = pode acionar múltiplos agentes
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ROUTING_MODE=router
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# Usage/cost accounting
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USAGE_REPOSITORY_PROVIDER=sqlite
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IDENTITY_CONFIG_PATH=./config/identity.yaml
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MCP_PARAMETER_MAPPING_PATH=./config/mcp_parameter_mapping.yaml
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# -----------------------------------------------------------------------------
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# ConversationSummaryMemory / compressão de contexto conversacional
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# -----------------------------------------------------------------------------
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ENABLE_CONVERSATION_SUMMARY_MEMORY=true
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MEMORY_CONTEXT_STRATEGY=summary
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MEMORY_HISTORY_LIMIT=80
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MEMORY_RECENT_MESSAGES_LIMIT=8
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MEMORY_SUMMARY_TRIGGER_MESSAGES=20
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MEMORY_MAX_SUMMARY_CHARS=6000
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MEMORY_SUMMARY_USE_LLM=true
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MEMORY_INJECT_RECENT_MESSAGES=true
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MEMORY_INJECT_SUMMARY=true
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###############################################################################
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# MCP Gateway
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###############################################################################
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# true = framework routes tool calls to the dedicated MCP Gateway.
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# false = framework calls MCP servers directly from mcp_servers.yaml.
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MCP_GATEWAY_ENABLED=true
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MCP_GATEWAY_URL=http://localhost:8300
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MCP_GATEWAY_TIMEOUT_SECONDS=60
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# MCP_GATEWAY_TOKEN=
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MCP_GATEWAY_AGENT_ID=telecom_contas
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MCP_GATEWAY_TENANT_ID=default
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###############################################################################
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# LONG-TERM MEMORY
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###############################################################################
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ENABLE_LONG_TERM_MEMORY=true
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LONG_TERM_MEMORY_PROVIDER=sqlite
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LONG_TERM_MEMORY_SQLITE_PATH=./data/agent_framework.db
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LONG_TERM_MEMORY_TABLE=agentfw_long_term_memory
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# For Autonomous/Oracle, defaults to ${ADB_TABLE_PREFIX}_LONG_TERM_MEMORY
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# LONG_TERM_MEMORY_ORACLE_TABLE=AGENTFW_LONG_TERM_MEMORY
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LONG_TERM_MEMORY_MAX_CONTEXT_ITEMS=20
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LONG_TERM_MEMORY_MIN_CONFIDENCE=0.70
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LONG_TERM_MEMORY_AUTO_EXTRACT=true
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LONG_TERM_MEMORY_INJECT_CONTEXT=true
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@@ -74,11 +74,21 @@ def _format_conversation_history(
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msgs.pop()
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lines: list[str] = []
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for msg in msgs:
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cls = type(msg).__name__
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if cls in _SKIPPED_CLASSES:
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continue
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role = _ROLE_BY_CLASS.get(cls, cls.lower())
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content = _message_content_to_str(getattr(msg, "content", ""))
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if isinstance(msg, dict):
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role = str(msg.get("role") or msg.get("type") or "").lower()
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if role in {"system", "tool", "function"}:
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continue
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if role == "human":
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role = "user"
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elif role in {"ai", "bot"}:
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role = "assistant"
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content = _message_content_to_str(msg.get("content", ""))
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else:
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cls = type(msg).__name__
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if cls in _SKIPPED_CLASSES:
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continue
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role = _ROLE_BY_CLASS.get(cls, cls.lower())
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content = _message_content_to_str(getattr(msg, "content", ""))
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if content.strip():
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lines.append(f"[{role}] {_truncate(content, per_message_limit)}")
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return "\n".join(lines)
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@@ -48,6 +48,10 @@ Decida na ordem, PARE no primeiro match:
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casa aqui, siga para o passo 5.
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Vale o pedido generico ("quero cancelar", "todos") sobre o que a conversa
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trata, e vale confirmar ou pedir permissao para executar essa acao.
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IMPORTANTE: se o cliente acabou de PEDIR cancelamento/contestacao/ajuste do
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mesmo alvo, a fala do agente que apenas pede CONFIRMACAO da transacao e
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allowed=true. A confirmacao NAO precisa repetir a justificativa do cliente
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("nao reconheco", "esta caro" etc.); o pedido transacional anterior basta.
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Vale tambem trocar uma variante transacional por outra DA MESMA FAMILIA sobre
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o MESMO escopo, sempre limitada ao valor JA COBRADO no item (ressarcimento <->
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devolucao <-> reembolso <-> cancelamento <-> credito em fatura): negar o dobro e
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64
tests/unit/test_langgraph_checkpoint_runtime_config.py
Normal file
64
tests/unit/test_langgraph_checkpoint_runtime_config.py
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from __future__ import annotations
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import asyncio
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from types import SimpleNamespace
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from agent_framework.checkpoints.langgraph_saver import (
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RepositoryCheckpointSaver,
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_durable_config,
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)
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class _Repo:
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def __init__(self) -> None:
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self.saved = None
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async def put(self, thread_id, checkpoint):
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self.saved = (thread_id, checkpoint)
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async def get_latest(self, thread_id):
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return self.saved[1] if self.saved and self.saved[0] == thread_id else None
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def test_private_pregel_runtime_is_not_durable() -> None:
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config = {
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"tags": ["x"],
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"configurable": {
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"thread_id": "t1",
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"tenant": "default",
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"__pregel_runtime": "stringified-runtime",
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"__pregel_store": "stringified-store",
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},
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}
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cleaned = _durable_config(config)
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assert cleaned == {
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"tags": ["x"],
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"configurable": {"thread_id": "t1", "tenant": "default"},
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}
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assert "__pregel_runtime" in config["configurable"]
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def test_saver_strips_private_runtime_before_put_and_restore() -> None:
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repo = _Repo()
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saver = RepositoryCheckpointSaver(SimpleNamespace(), repository=repo)
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config = {
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"configurable": {
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"thread_id": "t1",
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"__pregel_runtime": "Runtime(...) persisted by JSON backend",
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}
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}
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checkpoint = {"id": "cp1", "v": 1}
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returned = asyncio.run(saver.aput(config, checkpoint, {}, {}))
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assert returned["configurable"] == {"thread_id": "t1", "checkpoint_id": "cp1"}
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assert repo.saved is not None
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persisted = repo.saved[1]
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assert "__pregel_runtime" not in persisted["config"]["configurable"]
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# Also protects legacy records already stored with a stringified runtime.
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persisted["config"]["configurable"]["__pregel_runtime"] = "legacy-string"
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restored = saver._make_tuple(persisted)
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restored_config = restored.config if hasattr(restored, "config") else restored["config"]
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assert "__pregel_runtime" not in restored_config["configurable"]
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