Configuration Reference

Overview

Shannon is configured through environment variables and YAML configuration files. This guide documents all available configuration options.

Configuration Files

Shannon uses multiple configuration approaches:

.env file: Environment variables (this document)
config/features.yaml: Feature flags and toggles
config/models.yaml: LLM model definitions and pricing
Docker Compose: Service orchestration and networking

Setup

# Create .env from template
cp .env.example .env

# Edit with your values
nano .env

# Apply changes
docker compose down
docker compose up -d

Core Runtime

Essential variables for all deployments.

Variable	Type	Default	Description
`ENVIRONMENT`	string	`dev`	Runtime environment: `dev`, `staging`, `prod`
`DEBUG`	boolean	`false`	Enable debug logging
`SERVICE_NAME`	string	`shannon-llm-service`	Service identifier for logs and metrics

Example:

ENVIRONMENT=prod
DEBUG=false
SERVICE_NAME=shannon-production

LLM Provider API Keys

At least one provider must be configured.

Variable	Provider	Required	Format
`OPENAI_API_KEY`	OpenAI	Conditional	`sk-...`
`ANTHROPIC_API_KEY`	Anthropic (Claude)	Conditional	`sk-ant-...`
`GOOGLE_API_KEY`	Google (Gemini)	Conditional	`AIza...`
`GROQ_API_KEY`	Groq	No	`gsk_...`
`XAI_API_KEY`	xAI (Grok)	No	Custom
`DEEPSEEK_API_KEY`	DeepSeek	No	Custom
`QWEN_API_KEY`	Qwen	No	Custom
`MISTRAL_API_KEY`	Mistral	No	Custom
`ZAI_API_KEY`	ZAI	No	Custom

AWS Bedrock Configuration:

Variable	Default	Description
`AWS_ACCESS_KEY_ID`	-	AWS access key for Bedrock
`AWS_SECRET_ACCESS_KEY`	-	AWS secret key
`AWS_REGION`	`us-east-1`	AWS region

Example:

OPENAI_API_KEY=sk-proj-abc123...
ANTHROPIC_API_KEY=sk-ant-xyz789...
AWS_REGION=us-west-2

Testing API Keys:

# Test OpenAI
curl https://api.openai.com/v1/models \
  -H "Authorization: Bearer $OPENAI_API_KEY"

# Test Anthropic
curl https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{"model":"claude-3-sonnet-20240229","max_tokens":10,"messages":[{"role":"user","content":"Hi"}]}'

Web Search Providers

Optional but highly recommended for research and data gathering tasks.

Variable	Type	Default	Options
`WEB_SEARCH_PROVIDER`	string	`google`	`google`, `serper`, `bing`, `exa`, `firecrawl`

Provider-Specific Keys:

Variable	Provider	Get Key From
`GOOGLE_SEARCH_API_KEY`	Google	Google Cloud Console
`GOOGLE_SEARCH_ENGINE_ID`	Google	Programmable Search Engine
`SERPER_API_KEY`	Serper	serper.dev
`BING_API_KEY`	Bing	Azure Portal
`EXA_API_KEY`	Exa	exa.ai
`FIRECRAWL_API_KEY`	Firecrawl	firecrawl.dev

Example:

WEB_SEARCH_PROVIDER=google
GOOGLE_SEARCH_API_KEY=AIzaSyAbc123...
GOOGLE_SEARCH_ENGINE_ID=0123456789abcdef

Data Stores

Configuration for PostgreSQL, Redis, and Qdrant.

PostgreSQL

Variable	Type	Default	Description
`POSTGRES_HOST`	string	`postgres`	Database hostname
`POSTGRES_PORT`	integer	`5432`	Database port
`POSTGRES_DB`	string	`shannon`	Database name
`POSTGRES_USER`	string	`shannon`	Database username
`POSTGRES_PASSWORD`	string	`shannon`	Database password
`POSTGRES_SSLMODE`	string	`disable`	SSL mode: `disable`, `require`, `verify-full`
`DB_MAX_OPEN_CONNS`	integer	`25`	Maximum open connections
`DB_MAX_IDLE_CONNS`	integer	`5`	Maximum idle connections

Redis

Variable	Type	Default	Description
`REDIS_HOST`	string	`redis`	Redis hostname
`REDIS_PORT`	integer	`6379`	Redis port
`REDIS_PASSWORD`	string		Redis password (empty = no auth)
`REDIS_TTL_SECONDS`	integer	`3600`	Default TTL for cached items (1 hour)
`REDIS_ADDR`	string	`redis:6379`	Redis address (host:port)
`REDIS_URL`	string	`redis://redis:6379`	Redis connection URL
`LLM_REDIS_URL`	string	-	Dedicated Redis for LLM caching (optional)

Qdrant (Vector Database)

Variable	Type	Default	Description
`QDRANT_URL`	string	`http://qdrant:6333`	Qdrant HTTP endpoint
`QDRANT_HOST`	string	`qdrant`	Qdrant hostname
`QDRANT_PORT`	integer	`6333`	Qdrant port

Example:

# PostgreSQL
POSTGRES_HOST=db.example.com
POSTGRES_PORT=5432
POSTGRES_PASSWORD=secure_password_here

# Redis (with auth)
REDIS_HOST=redis.example.com
REDIS_PASSWORD=redis_password_here
REDIS_TTL_SECONDS=7200  # 2 hours

# Qdrant
QDRANT_URL=http://vector-db.example.com:6333

Service Endpoints

Internal service URLs for communication.

Variable	Default	Description
`TEMPORAL_HOST`	`temporal:7233`	Temporal workflow engine
`LLM_SERVICE_URL`	`http://llm-service:8000`	Python LLM service HTTP endpoint
`AGENT_CORE_ADDR`	`agent-core:50051`	Rust agent core gRPC endpoint
`ADMIN_SERVER`	`http://orchestrator:8081`	Orchestrator admin API
`ORCHESTRATOR_GRPC`	`orchestrator:50052`	Orchestrator gRPC endpoint
`EVENTS_INGEST_URL`	`http://orchestrator:8081/events`	Event ingestion endpoint
`EVENTS_AUTH_TOKEN`	-	Auth token for event ingestion
`APPROVALS_AUTH_TOKEN`	-	Auth token for approval webhooks

Config File Paths:

Variable	Default	Description
`CONFIG_PATH`	`./config/features.yaml`	Feature flags configuration
`MODELS_CONFIG_PATH`	`./config/models.yaml`	Model definitions and pricing

Model Routing & Budgets

Control LLM selection, token limits, and cost management.

Variable	Type	Default	Description
`DEFAULT_MODEL_TIER`	string	`small`	Default model size: `small`, `medium`, `large`
`COMPLEXITY_MODEL_ID`	string	`gpt-5`	Model for complexity analysis
`DECOMPOSITION_MODEL_ID`	string	`claude-sonnet-4-20250514`	Model for task decomposition
`MAX_TOKENS`	integer	`2000`	Default max output tokens
`TEMPERATURE`	float	`0.7`	Default sampling temperature (0.0-1.0)
`MAX_TOKENS_PER_REQUEST`	integer	`10000`	Maximum tokens per API request
`MAX_COST_PER_REQUEST`	float	`0.50`	Maximum cost per request (USD)
`LLM_DISABLE_BUDGETS`	integer	`1`	`1` = orchestrator manages budgets, `0` = enforce in LLM service
`HISTORY_WINDOW_MESSAGES`	integer	`50`	Number of history messages to include
`HISTORY_WINDOW_DEBUG_MESSAGES`	integer	`75`	History messages in debug mode
`WORKFLOW_SYNTH_BYPASS_SINGLE`	boolean	`true`	Skip synthesis for single-result tasks
`TOKEN_BUDGET_PER_AGENT`	integer	-	Per-agent token limit
`TOKEN_BUDGET_PER_TASK`	integer	-	Per-task token limit

Example - Cost-Optimized:

DEFAULT_MODEL_TIER=small
MAX_COST_PER_REQUEST=0.10
MAX_TOKENS_PER_REQUEST=5000
TEMPERATURE=0.5

Example - High-Quality:

DEFAULT_MODEL_TIER=large
MAX_COST_PER_REQUEST=2.00
MAX_TOKENS_PER_REQUEST=50000
TEMPERATURE=0.7

Cache & Rate Limiting

Performance and cost optimization through caching and rate limits.

Variable	Type	Default	Description
`ENABLE_CACHE`	boolean	`true`	Enable LLM response caching
`CACHE_SIMILARITY_THRESHOLD`	float	`0.95`	Semantic similarity threshold (0.0-1.0)
`RATE_LIMIT_REQUESTS`	integer	`100`	Requests per window
`RATE_LIMIT_WINDOW`	integer	`60`	Rate limit window (seconds)
`WEB_SEARCH_RATE_LIMIT`	integer	`120`	Web search requests per minute
`CALCULATOR_RATE_LIMIT`	integer	`2000`	Calculator tool requests per minute
`PYTHON_EXECUTOR_RATE_LIMIT`	integer	`60`	Python execution requests per minute
`PARTIAL_CHUNK_CHARS`	integer	`512`	Streaming chunk size (characters)

Cache Behavior:

Responses are cached by semantic similarity
Cache key: SHA256 hash of (prompt + model + temperature)
TTL: Controlled by REDIS_TTL_SECONDS

Example:

ENABLE_CACHE=true
CACHE_SIMILARITY_THRESHOLD=0.98  # Higher = more exact matches
RATE_LIMIT_REQUESTS=200
RATE_LIMIT_WINDOW=60

Tool Execution & Workflow Controls

Fine-tune parallelism, timeouts, and execution behavior.

Variable	Type	Default	Range	Description
`TOOL_PARALLELISM`	integer	`5`	1-10	Concurrent tool executions (1=sequential)
`ENABLE_TOOL_SELECTION`	integer	`1`	0,1	`1`=auto tool selection, `0`=manual only
`PRIORITY_QUEUES`	string	`off`	on/off	Enable priority-based task queuing
`STREAMING_RING_CAPACITY`	integer	`1000`	-	Event stream buffer size
`COMPRESSION_TRIGGER_RATIO`	float	`0.75`	0.0-1.0	Context compression trigger threshold
`COMPRESSION_TARGET_RATIO`	float	`0.375`	0.0-1.0	Target compression ratio
`ENFORCE_TIMEOUT_SECONDS`	integer	`90`	-	Hard timeout for operations
`ENFORCE_MAX_TOKENS`	integer	`32768`	-	Absolute maximum tokens
`ENFORCE_RATE_RPS`	integer	`20`	-	Requests per second limit

Circuit Breaker Settings:

Variable	Type	Default	Description
`ENFORCE_CB_ERROR_THRESHOLD`	float	`0.5`	Error rate to open circuit (50%)
`ENFORCE_CB_WINDOW_SECONDS`	integer	`30`	Sliding window for error rate
`ENFORCE_CB_MIN_REQUESTS`	integer	`20`	Minimum requests before opening circuit

Performance Tuning:

# High throughput
TOOL_PARALLELISM=10
ENFORCE_RATE_RPS=50

# Conservative / Low resources
TOOL_PARALLELISM=2
ENFORCE_RATE_RPS=10

Approvals & Security

Human-in-the-loop and authentication settings.

Variable	Type	Default	Description
`APPROVAL_ENABLED`	boolean	`false`	Enable manual approval workflow
`APPROVAL_COMPLEXITY_THRESHOLD`	float	`0.5`	Complexity score requiring approval (0.0-1.0)
`APPROVAL_DANGEROUS_TOOLS`	string	`file_system,code_execution`	Comma-separated tools requiring approval
`APPROVAL_TIMEOUT_SECONDS`	integer	`7200`	Approval wait timeout (2 hours)
`JWT_SECRET`	string	`development-only-secret-change-in-production`	JWT signing secret (⚠️ CHANGE IN PRODUCTION)
`GATEWAY_SKIP_AUTH`	integer	`1`	`1`=auth disabled, `0`=auth enabled

Security Best Practices:

# Production setup
APPROVAL_ENABLED=true
APPROVAL_DANGEROUS_TOOLS=file_system,code_execution,shell,network_access
JWT_SECRET=$(openssl rand -base64 64)
GATEWAY_SKIP_AUTH=0

Development setup:

# Fast iteration (⚠️ NOT FOR PRODUCTION)
APPROVAL_ENABLED=false
GATEWAY_SKIP_AUTH=1

Python WASI Sandbox

Secure Python code execution environment.

Variable	Type	Default	Description
`PYTHON_WASI_WASM_PATH`	string	`./wasm-interpreters/python-3.11.4.wasm`	Path to Python WASI interpreter
`PYTHON_WASI_SESSION_TIMEOUT`	integer	`3600`	Session timeout (seconds)
`WASI_MEMORY_LIMIT_MB`	integer	`512`	Memory limit per execution (MB)
`WASI_TIMEOUT_SECONDS`	integer	`60`	Execution timeout per run

Setup:

# Download Python WASI interpreter (20MB)
./scripts/setup_python_wasi.sh

# Verify
ls -lh wasm-interpreters/python-3.11.4.wasm

Tuning:

# Tight limits (basic scripts)
WASI_MEMORY_LIMIT_MB=256
WASI_TIMEOUT_SECONDS=30

# Generous limits (data processing)
WASI_MEMORY_LIMIT_MB=1024
WASI_TIMEOUT_SECONDS=300

OpenAPI & MCP Integrations

External tool and API integration settings.

OpenAPI Tools

Variable	Type	Default	Description
`OPENAPI_ALLOWED_DOMAINS`	string	`*`	Allowed domains (`*` or comma-separated)
`OPENAPI_MAX_SPEC_SIZE`	integer	`5242880`	Max OpenAPI spec size (5MB)
`OPENAPI_FETCH_TIMEOUT`	integer	`30`	Spec fetch timeout (seconds)
`OPENAPI_RETRIES`	integer	`3`	Retry attempts

MCP (Model Context Protocol)

Variable	Type	Default	Description
`MCP_ALLOWED_DOMAINS`	string	`*`	Allowed MCP domains
`MCP_MAX_RESPONSE_BYTES`	integer	`10485760`	Max response size (10MB)
`MCP_RETRIES`	integer	`3`	Retry attempts
`MCP_TIMEOUT_SECONDS`	integer	`10`	Request timeout
`MCP_REGISTER_TOKEN`	string	-	Registration auth token
`MCP_RATE_LIMIT_DEFAULT`	integer	`60`	Default rate limit (req/min)
`MCP_CB_FAILURES`	integer	`5`	Circuit breaker failure threshold
`MCP_CB_RECOVERY_SECONDS`	integer	`60`	Circuit breaker recovery time
`MCP_COST_TO_TOKENS`	integer	`0`	Cost-to-token conversion

Example - Restricted:

OPENAPI_ALLOWED_DOMAINS=api.example.com,api.partner.com
MCP_ALLOWED_DOMAINS=mcp.trusted.com
MCP_REGISTER_TOKEN=secret_token_here

Observability & Telemetry

Metrics, tracing, and logging configuration.

Variable	Type	Default	Description
`OTEL_SERVICE_NAME`	string	`shannon-llm-service`	OpenTelemetry service name
`OTEL_EXPORTER_OTLP_ENDPOINT`	string	`localhost:4317`	OTLP endpoint
`OTEL_ENABLED`	boolean	`false`	Enable OpenTelemetry tracing
`LOG_FORMAT`	string	`plain`	Log format: `plain` or `json`
`METRICS_PORT`	integer	`2112`	Prometheus metrics port

Prometheus Endpoints:

Orchestrator: http://localhost:2112/metrics
Agent Core: http://localhost:2113/metrics
LLM Service: http://localhost:8000/metrics

Example - Production Observability:

OTEL_ENABLED=true
OTEL_EXPORTER_OTLP_ENDPOINT=otel-collector:4317
LOG_FORMAT=json
METRICS_PORT=2112

Advanced Orchestrator Controls

Low-level tuning for Temporal workers and orchestrator behavior.

Worker Concurrency

Variable	Type	Default	Description
`WORKER_ACT`	integer	-	Activity worker concurrency (all priorities)
`WORKER_WF`	integer	-	Workflow worker concurrency (all priorities)
`WORKER_ACT_CRITICAL`	integer	`10`	Critical priority activity workers
`WORKER_WF_CRITICAL`	integer	`5`	Critical priority workflow workers
`WORKER_ACT_HIGH`	integer	-	High priority activity workers
`WORKER_WF_HIGH`	integer	-	High priority workflow workers
`WORKER_ACT_NORMAL`	integer	-	Normal priority activity workers
`WORKER_WF_NORMAL`	integer	-	Normal priority workflow workers
`WORKER_ACT_LOW`	integer	-	Low priority activity workers
`WORKER_WF_LOW`	integer	-	Low priority workflow workers

Event & Circuit Settings

Variable	Type	Default	Description
`EVENTLOG_BATCH_SIZE`	integer	`100`	Event batch size
`EVENTLOG_BATCH_INTERVAL_MS`	integer	`100`	Event batch interval (ms)
`RATE_LIMIT_INTERVAL_MS`	integer	`60000`	Rate limit window (ms)
`BACKPRESSURE_THRESHOLD`	integer	-	Backpressure trigger threshold
`MAX_BACKPRESSURE_DELAY_MS`	integer	-	Max backpressure delay
`CIRCUIT_FAILURE_THRESHOLD`	integer	-	Circuit breaker failure count
`CIRCUIT_HALF_OPEN_REQUESTS`	integer	-	Half-open state test requests
`CIRCUIT_RESET_TIMEOUT_MS`	integer	-	Circuit reset timeout
`LLM_TIMEOUT_SECONDS`	integer	`120`	LLM request timeout

Performance Tuning:

# High load
WORKER_ACT_CRITICAL=20
WORKER_WF_CRITICAL=10
EVENTLOG_BATCH_SIZE=500

# Low resources
WORKER_ACT_CRITICAL=5
WORKER_WF_CRITICAL=3
EVENTLOG_BATCH_SIZE=50

Miscellaneous

Additional configuration options.

Variable	Type	Default	Description
`SHANNON_WORKSPACE`	string	`./workspace`	Workspace directory for file operations
`SEED_DATA`	boolean	`false`	Seed Qdrant with sample data on startup
`AGENT_TIMEOUT_SECONDS`	integer	`600`	Max runtime per agent execution (10 minutes)
`TEMPLATE_FALLBACK_ENABLED`	boolean	`false`	Fallback to AI if template execution fails

Configuration Profiles

Development Profile

# .env.dev
ENVIRONMENT=dev
DEBUG=true
GATEWAY_SKIP_AUTH=1
APPROVAL_ENABLED=false
LOG_FORMAT=plain
MAX_COST_PER_REQUEST=0.10
LLM_DISABLE_BUDGETS=1
OTEL_ENABLED=false

Staging Profile

# .env.staging
ENVIRONMENT=staging
DEBUG=false
GATEWAY_SKIP_AUTH=0
APPROVAL_ENABLED=true
LOG_FORMAT=json
MAX_COST_PER_REQUEST=1.00
LLM_DISABLE_BUDGETS=0
OTEL_ENABLED=true
JWT_SECRET=$(openssl rand -base64 64)

Production Profile

# .env.prod
ENVIRONMENT=prod
DEBUG=false
GATEWAY_SKIP_AUTH=0
APPROVAL_ENABLED=true
APPROVAL_DANGEROUS_TOOLS=file_system,code_execution,shell,network_access
LOG_FORMAT=json
MAX_COST_PER_REQUEST=2.00
LLM_DISABLE_BUDGETS=0
OTEL_ENABLED=true
JWT_SECRET=$(openssl rand -base64 64)
POSTGRES_SSLMODE=require
REDIS_PASSWORD=secure_password
# Add strong passwords and restrict domains
OPENAPI_ALLOWED_DOMAINS=api.trusted.com
MCP_ALLOWED_DOMAINS=mcp.trusted.com

Hot-Reload Support

Most configuration changes require a service restart:

# After editing .env
docker compose restart orchestrator
docker compose restart agent-core
docker compose restart llm-service
docker compose restart gateway

Services that auto-reload:

✅ Feature flags (config/features.yaml)
✅ Model configuration (config/models.yaml)

Services requiring restart:

❌ Environment variables (.env)
❌ Database credentials
❌ Service endpoints

Validation & Testing

Verify Configuration

# Check loaded environment variables
docker compose exec orchestrator env | sort

# Test database connection
docker compose exec postgres psql -U shannon -d shannon -c "SELECT 1;"

# Test Redis connection
docker compose exec redis redis-cli ping

# Test API endpoints
curl http://localhost:8080/health
curl http://localhost:8000/health

Configuration Debugging

# View service logs
docker compose logs orchestrator | grep -i "config\|environment"

# Check for errors
docker compose logs orchestrator | grep -i "error\|warning"

# Validate YAML syntax
docker compose config

Security Checklist

Production Deployment Checklist

Installation

Initial setup guide

Troubleshooting

Common configuration issues

Cost Control

Budget management

Monitoring

Observability setup

Getting Started

Core Concepts

Guides

​Overview

​Configuration Files

​Setup

​Core Runtime

​LLM Provider API Keys

​Web Search Providers

​Data Stores

​PostgreSQL

​Redis

​Qdrant (Vector Database)

​Service Endpoints

​Model Routing & Budgets

​Cache & Rate Limiting

​Tool Execution & Workflow Controls

​Approvals & Security

​Python WASI Sandbox

​OpenAPI & MCP Integrations

​OpenAPI Tools

​MCP (Model Context Protocol)

​Observability & Telemetry

​Advanced Orchestrator Controls

​Worker Concurrency

​Event & Circuit Settings

​Miscellaneous

​Configuration Profiles

​Development Profile

​Staging Profile

​Production Profile

​Hot-Reload Support

​Validation & Testing

​Verify Configuration

​Configuration Debugging

​Security Checklist

​Related Topics

Installation

Troubleshooting

Cost Control

Monitoring

Overview

Configuration Files

Setup

Core Runtime

LLM Provider API Keys

Web Search Providers

Data Stores

PostgreSQL

Redis

Qdrant (Vector Database)

Service Endpoints

Model Routing & Budgets

Cache & Rate Limiting

Tool Execution & Workflow Controls

Approvals & Security

Python WASI Sandbox

OpenAPI & MCP Integrations

OpenAPI Tools

MCP (Model Context Protocol)

Observability & Telemetry

Advanced Orchestrator Controls

Worker Concurrency

Event & Circuit Settings

Miscellaneous

Configuration Profiles

Development Profile

Staging Profile

Production Profile

Hot-Reload Support

Validation & Testing

Verify Configuration

Configuration Debugging

Security Checklist

Related Topics