AI & LLM Skill
Agent Eval Suite Langsmith
Production agent eval suite LangSmith dataset curation + Promptfoo assertion framework +…
$15
Multi Agent Orchestration Langgraph
LangGraph ile production multi-agent orkestrasyon state machine (nodes + edges + state)…
A production patterns library for orchestrating multiple AI agents with LangGraph state machines. It replaces fragile sequential dispatch with explicit nodes, edges, and shared state, adding supervisor routing, parallel map-reduce, saga rollback, and checkpoint-resume so long-running multi-agent pipelines stay coordinated and recoverable.
$15 one-time
Add to a kit → Prices include 20% VAT. · Forged on real agency work · one-time, no lock-in
- Type Skill
- Category AI & LLM
- Delivery Email · instant
- License One-time
Inside the run · no black box
See the actual work before you buy it.
Five agents running in parallel cut a 150 second audit to about 30. The catch is shared state, failure rollback and routing, which is exactly what this state-machine build handles.
- Starts with four gating questions before any code: how many agents and what is the dependency shape (sequential A to B to C, or parallel fan-out into a synthesizer), what does the shared state carry, what happens when one agent fails (saga rollback, skip and log, or retry), and is the run long enough to require persistent checkpoints.
- Defines the shared state as a typed schema (problem, customer slug, findings list, decision trace, failure flag, checkpoint id) with an immutability rule: every agent returns a copy-and-update of the state, in-place mutation is banned because parallel branches race on it.
- Builds the graph from the agent registry: each node is an agent with its own model assignment, strict allowed-tools whitelist and isolated system prompt that the parent state cannot override, which is both a drift guard and a prompt-injection boundary.
- Wires the edges by pattern: a supervisor node makes dynamic routing decisions via structured output (next agent plus reason plus priority) instead of static if-else, parallel map-reduce fans 5 workers out simultaneously and merges them in an synthesizer node, cutting a 150 second sequential audit to about 30 seconds.
- Adds the failure machinery: saga compensating edges so a failed downstream step (deploy test fails) walks back the chain (revert deploy, revert commit), plus state-hash cycle detection that halts the graph when the supervisor keeps returning to the same state three times.
- Compiles with a Postgres checkpoint backend for long runs: every node completion persists state under a thread id, so a 4-hour overnight batch that crashes at hour 2 resumes from the last completed step instead of restarting, and each transition stays visible in the trace for debugging.
One power source. 6 lines out.
multi-agent-orchestration-langgraph · core
core active · 6 lines
- ✓ coordinating three or more
Coordinating three or more agents where sequential handoff causes context drift
- ✓ running a fleet of agents
Running a fleet of agents in parallel for an audit, then synthesizing one result
- ✓ rolling back an entire c…
Rolling back an entire commit-deploy-test chain when one step fails
- ✓ resuming a long batch job
Resuming a long batch job from its checkpoint after a crash or restart
- ✓ building a supervisor ag…
Building a supervisor agent that dynamically routes work to specialists
- ✓ mixing models per role to
Mixing models per role to control multi-agent cost without losing quality
Yours to keep.
Drag time forward. Watch what stays.
Forever
That's what owning means.
The rented stack
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Your forge
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Eliminate context drift by carrying shared state across every agent transition
license: perpetual -
Cut wall-clock time by running independent agents in parallel instead of in sequence
license: perpetual -
Recover long-running jobs without restarting from scratch after a failure
license: perpetual -
Keep multi-agent chains consistent and rollback-safe under partial failure
license: perpetual
subscriptions expire · deeds don't
Everything in the box.
Pick a piece up. Watch it work.
A LangGraph state-machine skeleton with typed shared state and conditional routing
6 parts · one working system · ships instantly by email
This wasn't forged for everyone.
- Not for you if you'd rather rent a tool than own one.
- Not for you if you want someone else to run your stack.
- Not for you if you're happy guessing.
AI engineers building coordinated, long-running multi-agent systems who have outgrown simple sequential dispatch and need resilience, parallelism, and rollback.
then this was forged for you.Works with
Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
- Claude Native format
- ChatGPT Adapts via open standards
- Gemini Adapts via open standards
- Cursor Adapts via open standards
- Copilot Adapts via open standards
Catch what's on your mind.
the air is clear. nothing between you and the forge.
catch a spark: the forge will answer
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We only run two agents with a simple handoff. Do we need a state machine?
Probably not yet. The patterns earn their keep at three or more agents, where sequential handoff starts causing context drift, or when jobs run long enough to need checkpoint-resume. A two-step chain that finishes in one pass is fine without a graph.
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How does a crashed batch job resume without starting over?
State is persisted at checkpoints through a Postgres-backed saver, so after a crash or restart the graph picks up from the last checkpoint instead of step one. Cycle detection keeps a resumed run from looping on the node that failed.
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Can I use these patterns with a different framework, like CrewAI?
No, not directly. The skeletons are written as LangGraph nodes, edges, and typed shared state, and the checkpoint layer assumes its saver interface. The concepts port; the code does not.
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How is it delivered?
By email right after purchase: ready to run, downloaded instantly, no setup wait.
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One-time or subscription?
A one-time purchase; no subscription or hidden fees. VAT (20%) is included.
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Can I get a refund?
As a digital product, it can’t be refunded once downloaded. That’s why we show exactly what’s inside and who it’s for, right here.