klingai-content-policy
Implement content policy compliance for Kling AI prompts and outputs. Use when filtering user prompts or handling moderation. Trigger with phrases like…
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Updated 11-11 00:16
Agents & models
26,081 results
klingai-team-setup
Configure Kling AI for teams with per-project API keys, usage quotas, and role-based access. Trigger with phrases like 'klingai team', 'kling ai organization',…
langchain-core-workflow
Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch, RunnablePassthrough.assign, and RunnableLambda — correct input/output shapes, debug probes,…
langchain-embeddings-search
Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks,…
langchain-eval-harness
Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics,…
langchain-langgraph-agents
Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use…
langchain-langgraph-basics
Build a correct LangGraph 1.0 StateGraph — typed TypedDict state with reducers, nodes, edges, compile, and recursion budgets — without hitting the…
langchain-langgraph-checkpointing
Persist LangGraph agent state correctly with MemorySaver and PostgresSaver — thread_id discipline, JSON-serializable state rules, time-travel,…
langchain-langgraph-human-in-loop
Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before / interrupt_after and Command(resume=...) — JSON-serializable state, clean resume…
langchain-langgraph-streaming
Pick the correct LangGraph 1.0 stream_mode ("messages" vs "updates" vs "values"), wire it into SSE or WebSocket without proxy-buffering gotchas, and…
langchain-langgraph-subgraphs
Compose LangGraph 1.0 subgraphs correctly — shared state key propagation, Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion budgets,…
langchain-middleware-patterns
Build composable middleware for LangChain 1.0 chains and LangGraph 1.0 agents — PII redaction, caching, retry, token budgets, guardrails — with ORDERING…
langchain-model-inference
Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that…
langchain-otel-observability
Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs,…
langchain-prompt-engineering
Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection,…
langfuse-webhooks-events
Configure Langfuse webhooks for prompt change notifications and event-driven workflows. Use when setting up prompt change notifications, triggering CI/CD on…
lindy-ci-integration
Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver…
lindy-common-errors
Troubleshoot common Lindy AI agent errors and workflow failures. Use when encountering errors, debugging agent failures, or resolving integration…
lindy-cost-tuning
Optimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or…
lindy-hello-world
Create your first Lindy AI agent with a real trigger and action. Use when starting with Lindy, testing your setup, or learning basic agent workflow…
lindy-incident-runbook
Incident response procedures for Lindy AI agent failures and outages. Use when responding to incidents, troubleshooting agent outages, or creating on-call…
lindy-install-auth
Set up a Lindy account and authenticated webhook trigger. Use when onboarding to Lindy, configuring bearer authentication for webhook triggers, or connecting…
lindy-performance-tuning
Optimize Lindy AI agent execution speed, reliability, and cost efficiency. Use when agents are slow, consuming too many credits, or producing inconsistent…
lindy-prod-checklist
Production readiness checklist for Lindy AI agent deployments. Use when preparing agents for production, auditing live agents, or validating go-live…