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Cristiano Hoshikawa
2026-06-13 08:23:21 -03:00
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###############################################################################
# AI AGENT PLATFORM - CONFIGURAÇÃO ÚNICA
# Este arquivo é lido por Pydantic Settings no framework e no backend template.
###############################################################################
APP_NAME=ai-agent-template
APP_ENV=local
LOG_LEVEL=INFO
API_HOST=0.0.0.0
API_PORT=8000
CORS_ORIGINS=http://localhost:5173,http://127.0.0.1:5173
###############################################################################
# LLM - OCI Generative AI como provider principal
###############################################################################
# Opções: mock, oci_openai, oci_sdk, openai_compatible
LLM_PROVIDER=oci_openai
LLM_TEMPERATURE=0.2
LLM_MAX_TOKENS=2048
LLM_TIMEOUT_SECONDS=120
# OCI OpenAI-compatible endpoint
OCI_GENAI_BASE_URL=https://inference.generativeai.us-chicago-1.oci.oraclecloud.com/openai/v1
OCI_GENAI_MODEL=openai.gpt-4.1
OCI_GENAI_API_KEY=sk-ph3FgX6iP3fxAQCXb9IpPIDTadkeeYAWntUWhzcWysIM6zsS
OCI_GENAI_PROJECT_OCID=
# OCI SDK / signer / profiles
OCI_CONFIG_FILE=~/.oci/config
OCI_PROFILE=LATINOAMERICA-Chicago
OCI_COMPARTMENT_ID=ocid1.compartment.oc1..aaaaaaaaexpiw4a7dio64mkfv2t273s2hgdl6mgfvvyv7tycalnjlvpvfl3q
OCI_REGION=us-chicago-1
###############################################################################
# Persistência
###############################################################################
# Opções: memory, autonomous, mongodb
SESSION_REPOSITORY_PROVIDER=autonomous
MEMORY_REPOSITORY_PROVIDER=autonomous
CHECKPOINT_REPOSITORY_PROVIDER=autonomous
# Autonomous Database
ADB_USER=admin
ADB_PASSWORD=Moniquinha1972
ADB_DSN=oradb23ai_high
ADB_WALLET_LOCATION=/mnt/d/Dropbox/ORACLE/LatinoAmerica/Wallet_ORADB23ai
ADB_WALLET_PASSWORD=Moniquinha1972
ADB_TABLE_PREFIX=AGENTFW
# MongoDB - também pode representar Autonomous usando API compatível com Mongo, se habilitada no ambiente
MONGODB_URI=mongodb://mongo:mongopassword@localhost:27017
MONGODB_DATABASE=agent_platform
# Redis
REDIS_URL=redis://localhost:6379/0
ENABLE_REDIS_CACHE=false
###############################################################################
# RAG / Vector / Graph
###############################################################################
VECTOR_STORE_PROVIDER=memory
GRAPH_STORE_PROVIDER=memory
RAG_TOP_K=5
EMBEDDING_PROVIDER=mock
OCI_EMBEDDING_MODEL=cohere.embed-multilingual-v3.0
###############################################################################
# Observabilidade
###############################################################################
ENABLE_LANGFUSE=true
LANGFUSE_PUBLIC_KEY=pk-lf-bd9b0c7e-2b8b-4e5b-a382-284a9b4413b3
LANGFUSE_SECRET_KEY=sk-lf-5f5cc18d-0bb5-424e-b5d0-cb3664d58c20
LANGFUSE_HOST=http://localhost:3005
ENABLE_OTEL=false
OTEL_EXPORTER_OTLP_ENDPOINT=
OTEL_SERVICE_NAME=ai-agent-template
###############################################################################
# Analytics / Observer corporativo
###############################################################################
# Quando true, AgentObserver publica eventos IC.*, NOC.* e GRL.* nos providers abaixo.
ENABLE_ANALYTICS=false
# Providers aceitos: oci_streaming,pubsub,noop
ANALYTICS_PROVIDERS=oci_streaming
# Compatibilidade FIRST/TIM: pode informar AGENT_PUBSUB_TOPIC diretamente.
AGENT_PUBSUB_TOPIC=
GCP_PUBSUB_TOPIC_PATH=
GCP_PROJECT_ID=
GCP_PUBSUB_TOPIC=
GCP_PUBSUB_TIMEOUT_SECONDS=30
# Credencial GCP segue padrão Google:
# GOOGLE_APPLICATION_CREDENTIALS=/secrets/gcp-service-account.json
###############################################################################
# OCI Streaming
###############################################################################
ENABLE_OCI_STREAMING=false
OCI_STREAM_ENDPOINT=
OCI_STREAM_OCID=
OCI_STREAM_PARTITION_KEY=agent-events
###############################################################################
# Guardrails, Judges, Supervisor
###############################################################################
ENABLE_INPUT_GUARDRAILS=true
ENABLE_OUTPUT_GUARDRAILS=true
ENABLE_JUDGES=true
ENABLE_SUPERVISOR=true
ENABLE_OUTPUT_SUPERVISOR=true
ENABLE_PARALLEL_GUARDRAILS=true
GUARDRAILS_FAIL_FAST=true
OUTPUT_SUPERVISOR_MAX_RETRIES=3
GUARDRAILS_CONFIG_PATH=./config/guardrails.yaml
JUDGES_CONFIG_PATH=./config/judges.yaml
PROMPT_POLICY_PATH=./config/prompt_policy.yaml
###############################################################################
# Gateway de canais
###############################################################################
DEFAULT_CHANNEL=web
ENABLE_VOICE_ADAPTER=true
ENABLE_WHATSAPP_ADAPTER=true
ENABLE_TEXT_ADAPTER=true
#################################################
# ENTERPRISE ROUTING
#################################################
# Arquivo YAML com intents, keywords, políticas de estado e fallback.
ROUTING_CONFIG_PATH=./config/routing.yaml
# true = usa LLM para classificar quando keywords/estado não resolverem.
# Em produção, costuma ser útil; em desenvolvimento, false evita custo e latência.
ENABLE_LLM_ROUTER=true
###############################################################################
# MCP / Tools
###############################################################################
ENABLE_MCP_TOOLS=true
MCP_SERVERS_CONFIG_PATH=./config/mcp_servers.yaml
TOOLS_CONFIG_PATH=./config/tools.yaml
MCP_TOOL_TIMEOUT_SECONDS=30
# router = EnterpriseRouter seleciona um agente; supervisor = pode acionar múltiplos agentes
ROUTING_MODE=router
# Usage/cost accounting
USAGE_REPOSITORY_PROVIDER=autonomous
IDENTITY_CONFIG_PATH=./config/identity.yaml
MCP_PARAMETER_MAPPING_PATH=./config/mcp_parameter_mapping.yaml
###############################################################################
# BACKOFFICE CONVERTIDO - CHAVES ADICIONADAS A PARTIR DO .env.example
# Valores existentes no .env original foram preservados. Revise placeholders.
###############################################################################
# Framework
DEFAULT_AGENT_ID=backoffice_anatel
ENABLE_SSE=true
SQLITE_DB_PATH=.local/backoffice_framework.db
LLM_MODEL=cohere.command-r-08-2024
# OCI OpenAI-compatible endpoint/credentials. Preencha conforme seu Agent Framework.
OCI_OPENAI_BASE_URL=https://inference.generativeai.us-chicago-1.oci.oraclecloud.com/20231130/actions/chat
OCI_OPENAI_API_KEY=sk-ph3FgX6iP3fxAQCXb9IpPIDTadkeeYAWntUWhzcWysIM6zsS
# OPENAI_API_KEY=<quando o provider oci_openai usa contrato OpenAI-compatible>
OCI_CONFIG_PROFILE=LATINOAMERICA-Chicago
# OCI_REGION=us-chicago-1
# OCI_COMPARTMENT_ID=ocid1.compartment.oc1..aaaaaaaaexpiw4a7dio64mkfv2t273s2hgdl6mgfvvyv7tycalnjlvpvfl3q
# MCP
MCP_ENABLED=true
DEBUG=true
# IMDB_API_HOST=
# SIEBEL_API_HOST=
# SIEBEL_API_ROUTE=
# SIEBEL_STATUS_API_HOST=
# SIEBEL_PREPAGO_STATUS_API_HOST=
# SPEECH_ANALYTICS_API_HOST=
# TAIS_KB_DB_USER=
# TAIS_KB_DB_PASSWORD=
# TAIS_KB_DSN=
# OCI_REQUEST_STREAM_OCID=
# OCI_RESPONSE_STREAM_OCID=
# OCI_CONSUMER_GROUP_NAME=
# MCP Server local do backoffice
# O backend principal chama esse endpoint pelo MCPToolRouter do framework.
BACKOFFICE_MCP_BASE_URL=http://localhost:8010
BACKOFFICE_MCP_USE_MOCK=false
BACKOFFICE_MCP_BACKEND_TYPE=tim_clients
BACKOFFICE_MCP_FAIL_OPEN_ON_BACKEND_ERROR=true
# TIM/develop original - preencha no .env real, nunca versionar segredos.
PMID_API_HOST=https://pmidfqa.internal.timbrasil.com.br/access/v1/info
PMID_API_BASIC_TOKEN=Basic dGlteDpAckp1SkpAcFJPUiM=
PMID_API_TIMEOUT=10
PMID_API_CLIENT_ID=AIAGENTCR
SIEBEL_API_HOST=https://pmidfqa.internal.timbrasil.com.br/customers/v1/backOfficeSRopening
SIEBEL_API_TIMEOUT=10
SIEBEL_API_USERNAME=aiagentcr
SIEBEL_API_PASSWORD=AiAgentCR#FQA#
SIEBEL_API_CLIENT_ID=AIAGENTCR
SIEBEL_STATUS_API_HOST=https://pmidfqa.internal.timbrasil.com.br
SIEBEL_STATUS_API_ROUTE=/interactions/v1/statusServiceRequest
SIEBEL_PREPAGO_STATUS_API_HOST=https://pmidfqa.internal.timbrasil.com.br
SIEBEL_PREPAGO_STATUS_API_ROUTE=/customers/v1/serviceRequest
VERIFY_SSL=false
SPEECH_PREDICTION_BASE_URL=https://apigatewayfqa1.tim.com.br
SPEECH_PREDICTION_CLIENT_ID=TzlzCbMGNKpGXl7oUDAlE66eL3ZGmWBtuHMjgsClMoDNdmLz
SPEECH_PREDICTION_CLIENT_SECRET=ZIgIIxsn3CG7ra9HiOLSLygRzcgcivIMsoo4kwqLo9MtQBtNnmUadNpUx81ABkEm
SPEECH_HISTORY_BASE_URL=https://run-external-speech-analytics-audio-toxico-49911170294.us-east1.run.app
SPEECH_HISTORY_AUDIENCE=https://run-external-speech-analytics-audio-toxico-49911170294.us-east1.run.app
GOOGLE_APPLICATION_CREDENTIALS=/Users/cristianohoshikawa/Dropbox/ORACLE/TIM/compass/lab_backoffice/config/gcp-credentials-local.json
SPEECH_TIMEOUT=30
SPEECH_SIMILARITY_THRESHOLD=70
TAIS_DB_USER=USR_ADB_AGNTATEND_W_DEV
TAIS_DB_PASSWORD=T!M#Esta026!
TAIS_DB_DSN="(description= (retry_count=3)(retry_delay=7)(address=(protocol=tcps)(port=1522)(host=10.152.100.72))(connect_data=(service_name=gf9a4a2e79cfeb2_agntatendimentodev_high.adb.oraclecloud.com))(security=(ssl_server_dn_match=no)))"
TAIS_DB_TIMEOUT=30
TAIS_GENAI_ENDPOINT=https://inference.generativeai.sa-saopaulo-1.oci.oraclecloud.com
TAIS_GENAI_COMPARTMENT_ID=ocid1.compartment.oc1..aaaaaaaa3prjvf7mkvijwn5ng5h6n5ftanbbwqfg6cu44kmffwamhyy267iq
TAIS_GENAI_EMBED_MODEL_ID=cohere.embed-multilingual-v3.0
TAIS_TABLE_CHUNKS=CHUNKS_CHAR_COHERE_3
TAIS_TOP_K=3
# LLM CLASSIFICATION
CLASSIFICATION_LLM_MODEL=bo_gptoss20b_dev
CLASSIFICATION_LLM_TEMPERATURE=0.3
CLASSIFICATION_LLM_MAX_TOKENS=2000
CLASSIFICATION_LLM_TOP_P=0.9
CLASSIFICATION_LLM_TOP_K=250
CLASSIFICATION_LARGE_LLM_MODEL=bo_gptoss120b_dev
CLASSIFICATION_LARGE_LLM_TEMPERATURE=0.3
CLASSIFICATION_LARGE_LLM_MAX_TOKENS=4000
CLASSIFICATION_LARGE_LLM_TOP_P=0.9
CLASSIFICATION_LARGE_LLM_TOP_K=250
USE_FULL_ANATEL_DICT=true