Add Mastra Next.js Postgres Redis sample - #628
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…c models - Replace 3s polling with SSE endpoint (/api/dashboard/stream) for real-time queue progress at 300ms intervals - Switch from JSONB embeddings to pgvector for cosine similarity search in SQL - Use Mastra model router with provider/model format (e.g. bedrock/model-name) instead of AWS-specific runtime detection - Update all deps to latest (Mastra 1.x, ai SDK 6.x, zod 4.x) - Remove separate embedding Docker service from compose.yaml - Extract hooks (useChat, useDashboard), components (ItemCard, ChatMessage), types, and formatting utils from page.tsx for readability - Refactor chat route into focused functions (parseChatRequest, handleStreamingRequest, handleNonStreamingRequest) - Consolidate duplicate runChatJson/runChatText into shared runChat() - Extract fallback seed data to seed-data.ts - Fix Mastra 1.x breaking changes (Agent id, tool execute signature, PostgresStore id, telemetry removal, v3 model spec) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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…e dedup - Add MOCK_AGENT and LLM_MODEL to worker in compose.dev.yaml (was crashing) - Add MOCK_AGENT to worker in compose.yaml for clarity - Align Redis version to 6.2 in both compose files - Import ChatStreamEvent from shared types instead of duplicating - Remove unnecessary useMemo wrappers in page.tsx - Remove dead code: runChatText, answerQuestionWithContext - Remove unused _query param from searchItemsByEmbedding Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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… OPENAI_API_KEY - Add doc comments to chat route, hooks, agent, mastra index, and key ai.ts functions (parseJsonFromText, deterministicEmbedding, thinking splitter) - Move tsx from devDependencies to dependencies (worker needs it at runtime) - Add EMBEDDING_MODEL to compose.dev.yaml for dev/prod parity - Remove unused OPENAI_API_KEY from both compose files - Deduplicate SQL filter logic: extract shared applyFilters() used by both getItemsByType and searchItemsByEmbedding - Share QUEUE_NAME constant between queue.ts and worker.ts Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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- Add Prerequisites section (Defang CLI, BYOC, Docker) - Add proper Deployment section with Playground + BYOC subsections - Add NOTE/WARNING callouts matching other samples - Add LLM_MODEL/EMBEDDING_MODEL format examples (provider/model) - Remove non-standard Features section (moved to description) - Remove inline PostgreSQL TLS documentation Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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…portability Adds a generatorAgent (Mastra agent with no tools) used by the worker for seed generation and classification. All LLM calls now flow through Mastra, so users can switch providers (Bedrock, OpenAI, Anthropic, Google) by changing LLM_MODEL / EMBEDDING_MODEL — no code changes needed. model.ts keeps a native Bedrock path for AWS IAM auth (Mastra's router only supports API-key providers), but this is an implementation detail hidden from the app code. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Updated the description of the background worker's functionality to clarify the process of task generation and storage.
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The DROPs were added during iteration to pick up schema changes on redeploy. Schema is stable now, so preserve data across deploys. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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…:DefangLabs/samples into feat/mastra-nextjs-postgres-redis-sample
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Summary
mastra-nextjs-postgres-redissample in the samples catalogVerification
npm run builddocker compose -f compose.dev.yaml up --build -d/api/health,/api/jobs/sync,/api/jobs, and/api/chatNotes
MOCK_AGENT=truefor fully functional compose-based verification without external model credentialschatmodel service viax-defang-llmSamples Checklist
✅ All good!