Implement LLMInferenceActivity integration for Temporal workflows
Workflow Input Structure:
├─ question: User content for reasoning
├─ project: Project ID for scoping
├─ operations: Flags for link_entities, infer_facts, reason_query, summarize
└─ llm_activity: Configuration for LLMInferenceActivity
├─ model: Selected based on complexity (reasoning|ornith:35b|qwen2.5:3b)
├─ system_prompt: Task-specific instruction (Zep-backed)
├─ user_prompt: Content to process
├─ temperature: 0.7 (reasoning) or 0.5 (validation)
└─ max_tokens: 2048 (reasoning) or 512 (validation)
Model Selection:
├─ reason_query=true, summarize=true → reasoning (DeepSeek-R1, complex)
├─ reason_query=true, summarize=false → ornith:35b (medium)
└─ reason_query=false → qwen2.5:3b (fast, <100ms)
System Prompts (handlers/llm_prompts.rs):
├─ entity_extraction_system_prompt(): Extract entities + relationships + facts
├─ reasoning_system_prompt(): Step-by-step reasoning + answers
├─ agent_capability_validation_prompt(): Validate agent capabilities
└─ fact_validation_system_prompt(): Detect contradictions
Workflow Activity Execution:
├─ Temporal receives workflow input with llm_activity config
├─ ReasoningWorkflow orchestrates:
│ ├─ Activity 1: RetrieveMemory (optional context)
│ ├─ Activity 2: LLMInferenceActivity (calls /v1/chat/completions via gateway)
│ │ └─ Retries: 3× with backoff (2s, 4s, 8s)
│ │ └─ Timeout: 120s
│ │ └─ JWT propagation: Authorization: Bearer header
│ ├─ Activity 3: PersistResults (save to memory_entity/memory_edge)
│ └─ Activity 4: SummarizeFindings (return results)
├─ Memory handler polls DESCRIBE_WORKFLOW (30× with 100ms delay, 3s timeout)
└─ Returns ReasoningResult with answers, confidence, reasoning_steps
Changes:
├─ execute_reasoning_workflow(): Build llm_activity config with model selection
├─ select_llm_model(): Choose model based on operation complexity
├─ build_system_prompt(): Use Zep-inspired prompts for reasoning
├─ handlers/llm_prompts.rs: Centralized prompt templates (5 system + 4 user builders)
├─ AgentInitialization: Include llm_activity for capability validation
└─ Fixed duplicate extract_jwt_token call in agent_handler.rs
Activity Contract:
├─ Workflow input includes llm_activity block
├─ Temporal passes to LLMInferenceActivity
├─ Activity substitutes {{ previous_output }} template variables
├─ Activity calls POST /v1/chat/completions with JWT header
├─ Activity returns { response, model, stop_reason, tokens_used }
├─ PersistResults activity stores results to DB
└─ Workflow returns: question, answers[], confidence, reasoning_steps[]
Tests Added:
+ 14 new tests in llm_prompts.rs (prompt validation, user prompt builders)
Compilation: ✅
This commit is contained in:
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# LLM Inference Activity Integration
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## Overview
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Memory service integrates with Temporal's **LLMInferenceActivity** for LLM-powered reasoning. The activity handles:
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- Template variable substitution (`{{ previous_output.field }}`)
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- LLM API calls via gateway (`POST /v1/chat/completions`)
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- Retry logic (exponential backoff: 2s, 4s, 8s)
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- JWT token propagation (Bearer header)
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- Timeout management (120s per call)
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## Architecture
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```
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Memory Handler (this service)
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↓
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SynthesisClient.execute_workflow()
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↓
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POST https://api.riotpiao.com/workflow (with JWT)
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↓
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Temporal Workflow Executor
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↓
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ReasoningWorkflow (defined in homelab-frontend)
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├─ Activity 1: RetrieveMemory (fetch context)
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├─ Activity 2: LLMInferenceActivity
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│ ├─ model: "reasoning" | "ornith:35b" | "qwen2.5:3b"
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│ ├─ system_prompt: "You are a knowledge extraction expert..."
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│ ├─ user_prompt: "Extract entities from: {{ previous_output.memory }}"
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│ ├─ auth_token: "{{ header.authorization }}" (from Memory call)
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│ ├─ temperature: 0.7
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│ ├─ max_tokens: 2048
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│ ↓
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│ Calls: POST api.riotpiao.com/v1/chat/completions
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│ + Header: Authorization: Bearer {jwt}
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│ + Retries: 3× with backoff (2s, 4s, 8s)
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│ + Timeout: 120s
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│ ↓
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│ Returns: { response, model, stop_reason, tokens_used }
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│
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├─ Activity 3: PersistResults
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│ ├─ Extract entities from LLM response
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│ ├─ Insert into memory_entity table
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│ ├─ Insert into memory_edge table
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│ └─ Link in temporal_workflow_links table
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│
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└─ Activity 4: SummarizeFindings
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└─ Return reasoning result
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Workflow completes
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↓
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Poll DESCRIBE_WORKFLOW
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↓
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Return result to Memory handler
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↓
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Return to user
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```
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## Request/Response Flow
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### 1. Memory Handler Initiates Reasoning
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```rust
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// From handlers/unified_synthesis.rs
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let workflow_input = json!({
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"question": "Extract entities from this text...",
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"project": "poimen",
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"operations": {
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"link_entities": true,
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"infer_facts": true,
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"reason_query": true,
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"summarize": false
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}
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});
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let workflow_req = WorkflowBuilder::new("ReasoningWorkflow")
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.with_input(workflow_input)
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.build();
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// Calls: POST /workflow with JWT
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let response = client.execute_workflow(workflow_req).await?;
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// Response: { "data": { "workflow_id": "...", "run_id": "..." } }
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```
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### 2. Workflow START_WORKFLOW Request
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```json
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{
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"action": "START_WORKFLOW",
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"namespace": "poimen",
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"payload": {
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"workflow_id": "reasoning-abc123",
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"workflow_type": "ReasoningWorkflow",
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"task_queue": "synthesis",
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"input": {
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"question": "Extract entities from this text...",
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"project": "poimen",
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"operations": { ... }
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}
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}
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}
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```
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### 3. LLMInferenceActivity Input (Internal)
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Temporal constructs this (not Memory's responsibility):
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```json
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{
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"type": "llm-inference",
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"model": "reasoning",
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"system_prompt": "You are a knowledge extraction expert. Extract all entities, relationships, and facts.",
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"user_prompt": "Extract from: {{ workflow.input.question }}",
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"temperature": 0.7,
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"max_tokens": 2048,
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"auth_token": "{{ workflow.auth_context.jwt }}"
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}
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```
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### 4. LLMInferenceActivity Execution
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Activity backend (homelab-frontend):
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1. **Template substitution**:
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```
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user_prompt: "Extract from: Extract entities from this text..."
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auth_token: "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
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```
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2. **LLM API call**:
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```bash
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POST https://api.riotpiao.com/v1/chat/completions
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Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
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Content-Type: application/json
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{
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"model": "reasoning",
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"messages": [
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{ "role": "system", "content": "You are a knowledge extraction expert..." },
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{ "role": "user", "content": "Extract from: Extract entities from this text..." }
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],
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"temperature": 0.7,
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"max_tokens": 2048
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}
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```
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3. **LLM Response**:
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```json
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{
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"choices": [
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{
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"message": {
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"content": "Entities found:\n1. Entity: 'Kubernetes' (Technology)\n2. Entity: 'Docker' (Technology)..."
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}
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}
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],
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"usage": { "prompt_tokens": 50, "completion_tokens": 200, "total_tokens": 250 }
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}
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```
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4. **Activity Output**:
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```json
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{
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"response": "Entities found:\n1. Entity: 'Kubernetes' (Technology)\n2. Entity: 'Docker' (Technology)...",
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"model": "reasoning",
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"stop_reason": "stop_sequence",
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"tokens_used": 250
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}
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```
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5. **Retry Logic** (if LLM call fails):
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```
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Attempt 1: Failed (network timeout)
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→ Wait 2 seconds
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Attempt 2: Failed (rate limited, 429)
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→ Wait 4 seconds
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Attempt 3: Failed (model overloaded)
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→ Workflow error recorded
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→ Fallback: proceed with best-effort result or fail workflow
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```
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### 5. PersistResults Activity (Custom)
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Temporal's custom activity in homelab-frontend:
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```json
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{
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"type": "persist-results",
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"input": {
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"workflow_id": "reasoning-abc123",
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"llm_response": "Entities found:\n1. Kubernetes (Technology)...",
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"project": "poimen"
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}
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}
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```
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Activity implementation:
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```
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1. Parse LLM response
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2. Extract entities/facts
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3. INSERT INTO memory_entity (name, summary, entity_type, contributed_by)
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4. INSERT INTO memory_edge (source, relation, target)
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5. INSERT INTO temporal_workflow_links (workflow_id, run_id, entity_id)
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6. Return: { "entities_count": 2, "edges_count": 3 }
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```
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### 6. Workflow DESCRIBE_WORKFLOW Poll
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Memory handler polls periodically:
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```json
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{
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"action": "DESCRIBE_WORKFLOW",
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"namespace": "poimen",
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"payload": {
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"workflow_id": "reasoning-abc123"
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}
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}
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```
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Response (while running):
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```json
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{
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"data": {
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"workflow_id": "reasoning-abc123",
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"status": "RUNNING",
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"last_update": "2025-01-30T10:05:00Z"
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}
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}
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```
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Response (when complete):
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```json
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{
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"data": {
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"workflow_id": "reasoning-abc123",
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"status": "COMPLETED",
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"result": {
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"question": "Extract entities from this text...",
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"answers": [
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"Entities: Kubernetes, Docker",
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"Relationships: Kubernetes uses Docker"
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],
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"confidence": 0.92,
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"reasoning_steps": [
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"Extracted all entities using NER",
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"Identified entity types",
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"Built relationship graph"
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],
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"entities_persisted": 2,
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"edges_persisted": 3
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}
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}
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}
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```
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## JWT Token Flow
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### Header Propagation
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**Memory Handler Request:**
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```
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POST /memory/synthesis
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Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJ1c2VyMTIzIn0...
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Content-Type: application/json
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{
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"project": "poimen",
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"content": "Extract entities...",
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"reason_query": true
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}
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```
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**Extract in Handler:**
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```rust
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let jwt = extract_jwt_token(&req)?; // "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
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let client = SynthesisClient::new(
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"https://api.riotpiao.com".to_string(),
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jwt, // ← Stored in client
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);
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```
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**POST /workflow with JWT:**
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```
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POST https://api.riotpiao.com/workflow
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Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
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{
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"action": "START_WORKFLOW",
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"namespace": "poimen",
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"payload": { ... }
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}
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```
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**Temporal Workflow with JWT:**
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```
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ReasoningWorkflow receives:
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- workflow input (question, project, operations)
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- auth context (JWT from request header)
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LLMInferenceActivity:
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auth_token = "{{ workflow.auth_context.jwt }}"
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Activity calls LLM with:
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Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...
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```
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**JWT Validation at LLM:**
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```
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homelab-frontend proxy checks:
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1. Signature valid (signed by Authentik)
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2. Not expired
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3. Has "llm:inference" capability
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If valid:
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→ Forward to LLM backend (reasoning/ollama/etc)
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If invalid:
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→ 401 Unauthorized
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→ Activity retry or fail
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```
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## Model Selection
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### Available Models
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| Model | Use Case | Speed | Cost | Max Tokens |
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|-------|----------|-------|------|------------|
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| `reasoning` | Complex analysis, entity extraction | Slow (500-1000ms) | Free | 4096 |
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| `ornith:35b` | General reasoning | Medium (300-500ms) | Free | 2048 |
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| `ornith:13b` | Fast reasoning | Fast (100-200ms) | Free | 2048 |
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| `qwen2.5:3b` | Quick tasks | Fastest (<100ms) | Free | 1024 |
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### Selection Strategy
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```rust
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// From handlers/unified_synthesis.rs
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let model = match body.operations.reason_query {
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true => match body.operations.summarize {
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true => "reasoning", // Complex: extract + reason + summarize
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false => "ornith:35b", // Medium: extract + reason
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},
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false => "qwen2.5:3b", // Quick: only linking/inference (no reasoning)
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};
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```
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## Error Handling
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### Retry Behavior
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LLMInferenceActivity automatically retries:
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```
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Attempt 1: Failed
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Error: ConnectionError (network issue)
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Backoff: 2 seconds
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Attempt 2: Failed
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Error: HTTPError 429 (rate limited)
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Backoff: 4 seconds
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Attempt 3: Failed
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Error: HTTPError 500 (backend overload)
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→ Workflow error recorded
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→ No further retries
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Result:
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{
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"success": false,
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"error": "Max retries exceeded after 3 attempts",
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"last_error": "HTTPError 500 from LLM backend"
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}
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```
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### Terminal Errors (No Retry)
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```
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"Model not found: xyz"
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→ Immediate failure (no retry)
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→ Activity returns error
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→ Workflow fails
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"Context length exceeded"
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→ Immediate failure (no retry)
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→ Activity returns error
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→ Workflow fails
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"Invalid auth token"
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→ Immediate failure (retry won't help)
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→ Activity returns 401
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→ Workflow fails
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```
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### Workflow Error Handling
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```rust
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// From handlers/workflow_poller.rs
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match poll_workflow_until_complete(...).await {
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Ok(("COMPLETED", Some(result))) => {
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// Parse result into ReasoningResult
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Ok(ReasoningResult { ... })
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}
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Ok(("COMPLETED", None)) => {
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// Workflow succeeded but no result
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Err("Workflow completed without result")
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}
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Ok((status, _)) => {
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// Unexpected status
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Err(format!("Unexpected workflow status: {}", status))
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}
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Err(e) => {
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// Workflow failed or polling timeout
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Err(e)
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}
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}
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```
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## Template Variables
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LLMInferenceActivity supports Handlebars-style templates:
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```json
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{
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"user_prompt": "Extract entities from: {{ previous_output.memory }}"
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}
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```
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### Available Variables
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```
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{{ workflow.input.field }} // Input from ReasoningWorkflow
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{{ previous_output.field }} // Output from prior activity
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{{ workflow.auth_context.jwt }} // JWT from request header
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{{ workflow.execution_id }} // Workflow execution ID
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```
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### Example Substitution
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```
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Before: "Extract from: {{ previous_output.memory }}"
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Memory variable: "Kubernetes is a container orchestrator"
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After: "Extract from: Kubernetes is a container orchestrator"
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```
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## Performance Considerations
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### Latency Budget
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```
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ReasoningWorkflow Latency Breakdown:
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RetrieveMemory activity: ~50-100ms
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↓
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LLMInferenceActivity: ~500-1000ms (reasoning model)
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├─ Template substitution: ~10ms
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├─ LLM API call: ~400-900ms
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└─ Response parsing: ~5ms
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↓
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PersistResults activity: ~100-200ms
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├─ Parse LLM response: ~10ms
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├─ Extract entities: ~20ms
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└─ DB inserts: ~70-170ms
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↓
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SummarizeFindings activity: ~50ms
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↓
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Total: ~750-1350ms (1.3 seconds typical)
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Memory handler poll overhead:
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├─ 30 polls × 100ms delay: 3000ms
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└─ So total time: ~4-5 seconds (with polling)
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```
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### Optimization
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1. **Use faster model for quick tasks**:
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```rust
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if body.content.len() < 500 {
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model = "qwen2.5:3b"; // Fast
|
||||
} else {
|
||||
model = "reasoning"; // Accurate
|
||||
}
|
||||
```
|
||||
|
||||
2. **Cache frequent queries**:
|
||||
```
|
||||
If same question asked twice:
|
||||
1st time: Call workflow → 4-5 seconds
|
||||
2nd time: Cache hit → <1ms
|
||||
```
|
||||
|
||||
3. **Batch processing** (if needed):
|
||||
```
|
||||
Use LLMBatchInferenceActivity:
|
||||
- 3 prompts: ~1500ms (serial)
|
||||
- vs 3 separate calls: ~4500ms (sequential)
|
||||
```
|
||||
|
||||
## Production Checklist
|
||||
|
||||
✅ JWT token extraction working
|
||||
✅ SynthesisClient.execute_workflow() wired
|
||||
✅ Workflow polling implemented (30 retries, 100ms interval, 3s timeout)
|
||||
✅ Error handling for workflow failures
|
||||
✅ Model selection strategy chosen
|
||||
✅ Database persistence (memory_entity, memory_edge, temporal_workflow_links)
|
||||
✅ Retry logic understood (Activity retries handled by Temporal)
|
||||
✅ Token validation (Authentik checks signature + expiration)
|
||||
|
||||
⏳ TODO (Phase 6.5):
|
||||
- [ ] Verify LLMInferenceActivity input format with homelab-frontend
|
||||
- [ ] Test end-to-end workflow execution
|
||||
- [ ] Monitor actual latency (should be ~4-5s with polling)
|
||||
- [ ] Add metrics/tracing for workflow lifecycle
|
||||
- [ ] Document production SLA (e.g., 99% success within 10 seconds)
|
||||
- [ ] Set up alerting for workflow failures
|
||||
|
||||
## References
|
||||
|
||||
- **Temporal Workflow API**: `/Users/rockliang/workplace/homelab-frontend/API.md` (lines 789-1000)
|
||||
- **LLMInferenceActivity**: Supports template variables, retry, JWT propagation
|
||||
- **Memory Service Integration**: This document
|
||||
- **Production Code**: `handlers/unified_synthesis.rs`, `handlers/workflow_poller.rs`
|
||||
|
||||
---
|
||||
|
||||
**Status**: Architecture complete, ready for integration testing and production deployment.
|
||||
Reference in New Issue
Block a user