> ## Documentation Index > Fetch the complete documentation index at: https://www.bolna.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Full Example > Complete annotated graph agent config showing every feature: nodes, edges, expression routing, static nodes, event injection, and call transfer. This is the complete shape of a graph agent. It demonstrates every feature documented in the rest of this section. Replace `PLACEHOLDER` values with real config before deploying. The flow: * `welcome`: greets the customer. Transfers during working hours, ends the call after-hours, or jumps straight to `payment_confirmed` if a payment event arrives. * `collect_order`: collects an order id with silence handling and a per-node knowledge base. * `payment_confirmed`: static confirmation message played from cache. * `transfer_call`: routes the call to a human agent via the transfer tool. * `closing`: static goodbye. ```json theme={"system"} { "agent_config": { "agent_name": "Demo Graph Agent", "agent_type": "other", "agent_welcome_message": "Hello, my name is Neha.", "tasks": [ { "task_type": "conversation", "toolchain": { "execution": "parallel", "pipelines": [["transcriber", "llm", "synthesizer"]] }, "task_config": { "optimize_latency": true, "call_terminate": 600, "hangup_after_LLMCall": true }, "tools_config": { "input": { "format": "wav", "provider": "plivo" }, "output": { "format": "wav", "provider": "plivo" }, "api_tools": { "tools": [ { "key": "transfer_call", "name": "transfer_call_main", "parameters": { "type": "object", "required": ["call_sid"], "properties": { "call_sid": { "type": "string", "description": "unique call id" } } }, "description": "Transfer call to human agent.", "pre_call_message": "Please hold while I transfer your call..." } ], "tools_params": { "transfer_call_main": { "url": null, "param": { "call_sid": "%(call_sid)s", "call_transfer_number": "+91XXXXXXXXXX" }, "method": "POST", "headers": {} } } }, "llm_agent": { "agent_type": "graph_agent", "agent_flow_type": "streaming", "llm_config": { "model": "gpt-4.1-mini", "max_tokens": 200, "temperature": 0.2, "provider": "openai", "routing_model": "gpt-4.1-mini", "routing_max_tokens": 250, "routing_instructions": "PLACEHOLDER: routing instructions", "agent_information": "PLACEHOLDER: global agent prompt (persona, language, guardrails)", "current_node_id": "welcome", "nodes": [ { "id": "welcome", "prompt": "Greet the customer and identify their intent.", "edges": [ { "to_node_id": "collect_order", "condition": "Customer wants order status", "parameters": { "order_id": "string" } }, { "to_node_id": "transfer_call", "condition": "Customer asks for a human", "condition_type": "expression", "expression": { "logic": "and", "conditions": [ { "variable": "recipient_data.current_hour", "operator": "gte", "value": 10 }, { "variable": "recipient_data.current_hour", "operator": "lt", "value": 18 } ] } }, { "to_node_id": "closing", "condition": "Outside working hours", "condition_type": "expression", "priority": 1, "expression": { "logic": "or", "conditions": [ { "variable": "recipient_data.current_hour", "operator": "lt", "value": 10 }, { "variable": "recipient_data.current_hour", "operator": "gte", "value": 18 } ] } }, { "to_node_id": "payment_confirmed", "condition_type": "event", "event_name": "payment_completed" } ] }, { "id": "collect_order", "prompt": "Confirm the order id and look up its status using @fetch_order_status.", "repeat_after_silence_seconds": 10, "rag_config": { "vector_store": { "provider_config": { "vector_id": "PLACEHOLDER_collection_id" } }, "similarity_top_k": 8 }, "edges": [ { "to_node_id": "closing", "condition": "Status delivered to customer" }, { "to_node_id": "transfer_call", "condition_type": "expression", "expression": { "conditions": [ { "variable": "_silence_repeats", "operator": "gte", "value": 3 } ] } } ] }, { "id": "payment_confirmed", "node_type": "static", "static_message": "Your payment is confirmed. Thank you!", "edges": [ { "to_node_id": "closing", "condition_type": "unconditional" } ] }, { "id": "transfer_call", "prompt": "Transfer the call to a human agent.", "function_call": "transfer_call_main", "edges": [] }, { "id": "closing", "node_type": "static", "static_message": "Thank you for calling. Have a wonderful day. Goodbye!", "edges": [] } ] } }, "transcriber": { "model": "nova-3", "language": "multi-hi", "provider": "deepgram", "stream": true, "encoding": "linear16", "sampling_rate": 16000, "endpointing": 700 }, "synthesizer": { "provider": "elevenlabs", "stream": true, "caching": true, "buffer_size": 220, "audio_format": "wav", "provider_config": { "model": "eleven_turbo_v2_5", "voice": "PLACEHOLDER: voice name", "voice_id": "PLACEHOLDER: voice ID", "temperature": 0.2, "similarity_boost": 0.6, "speed": 0.9 } } } } ] } } ``` For automatic post-call extraction (disposition, sentiment, funnel stage), add an `extraction` task alongside the conversation task. See [Using extractions](/using-extractions). ## What this example shows | Feature | Where | | --------------------------------------- | ---------------------------------------------------------------------------------------------------- | | Mixed edge types on one node | `welcome` has LLM, expression, and event edges. | | Inline data extraction via `parameters` | `welcome -> collect_order` captures `order_id`. | | Working-hours routing | `welcome -> transfer_call` (expression). | | After-hours fallback | `welcome -> closing` (expression, priority 1). | | Event-driven proactive speech | `welcome -> payment_confirmed` on `payment_completed`. | | Per-node RAG | `collect_order` has `rag_config`. | | Silence handling and escalation | `collect_order` has `repeat_after_silence_seconds: 10` and an expression edge on `_silence_repeats`. | | Static node | `payment_confirmed`, `closing`. | | Call transfer | `transfer_call` with `function_call`. |