{ "slug": "agent-reliability-production-checklist", "title": "The AI Agent Production Reliability Checklist", "description": "A go/no-go checklist that turns the agent reliability pillar's twelve-discipline closing list into checkable gates — the specific artifact, header, or trace field that proves each one holds, with a link to whichever sibling article owns its mechanics.", "kind": "sub", "order": 12, "target_query": "production reliability checklist for AI agents", "secondary_queries": [ "AI agent go/no-go checklist", "is my AI agent ready for production", "AI agent readiness review checklist", "AI agent reliability gate checklist" ], "tags": [ "agents", "reliability", "production", "checklist", "operations" ], "published": "2026-08-31", "updated": "2026-08-31", "words": 2021, "estimated_tokens": 2688, "premium": false, "rights": { "access": "free", "note": "Editorial guides are always free and never part of the licensed corpus.", "license": "https://changegamer.ai/license.xml", "pricing": "https://changegamer.ai/api/pricing.json", "payment": "https://changegamer.ai/api/payment.json" }, "license": "https://changegamer.ai/license.xml", "citation": "ChangeGamer (2026-08-31). The AI Agent Production Reliability Checklist. ChangeGamer. https://changegamer.ai/articles/agent-reliability-production-checklist (updated 2026-08-31).", "bibtex": "@misc{changegamer_agent_reliability_production_checklist, title = {The AI Agent Production Reliability Checklist}, publisher = {ChangeGamer}, year = {2026}, url = {https://changegamer.ai/articles/agent-reliability-production-checklist}, note = {Updated 2026-08-31}}", "canonical": "https://changegamer.ai/articles/agent-reliability-production-checklist", "markdown": "https://changegamer.ai/articles/agent-reliability-production-checklist.md", "takeaways": [ "A production-ready AI agent checklist only becomes verifiable once each of its twelve reliability disciplines is stated as a specific artifact a reviewer can go check, not as a completed-sounding task like 'add guardrails.'", "The tool-calling and structured-output gates both reduce to a machine-checkable condition: a strict schema audit confirms an out-of-set tool name gets rejected before execution, and a stop-reason check catches the truncated or refused reply a 200 status code alone would hide.", "The idempotency gate for an AI agent passes only once a replay test shows the same tool-call step attempted twice producing exactly one real side effect instead of two, proving the dedup key held steady across both attempts.", "A rollout gate that only triggers rollback on crashes and 5xx errors misses the failure this discipline mainly exists to catch — a new version that runs cleanly but answers measurably worse than the one it replaced.", "An incident-response gate only counts as passed once trace export runs as the literal first recovery step, because a version swap or a process restart carried out first can leave a post-mortem without the exact spans it needs.", "No single one of the twelve reliability gates in an AI agent production review is unusual on its own — the review exists because a live incident routinely works its way through several of them in the same run." ], "outline": [ { "depth": 2, "text": "From checklist bullet to go/no-go gate", "anchor": "from-checklist-bullet-to-go-no-go-gate", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#from-checklist-bullet-to-go-no-go-gate" }, { "depth": 2, "text": "Is every model output contractually valid before anything executes?", "anchor": "is-every-model-output-contractually-valid-before-anything-executes", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#is-every-model-output-contractually-valid-before-anything-executes" }, { "depth": 2, "text": "Can a retry or a crash-recovery replay duplicate a side effect?", "anchor": "can-a-retry-or-a-crash-recovery-replay-duplicate-a-side-effect", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#can-a-retry-or-a-crash-recovery-replay-duplicate-a-side-effect" }, { "depth": 2, "text": "Does a stuck step get cut off before it stalls the whole run?", "anchor": "does-a-stuck-step-get-cut-off-before-it-stalls-the-whole-run", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#does-a-stuck-step-get-cut-off-before-it-stalls-the-whole-run" }, { "depth": 2, "text": "Guardrails and CI evaluation: the two gates before a release ships", "anchor": "guardrails-and-ci-evaluation-the-two-gates-before-a-release-ships", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#guardrails-and-ci-evaluation-the-two-gates-before-a-release-ships" }, { "depth": 2, "text": "Is there a record of the run afterward, and does a bad release come back out cleanly?", "anchor": "is-there-a-record-of-the-run-afterward-and-does-a-bad-release-come-back-out-cleanly", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#is-there-a-record-of-the-run-afterward-and-does-a-bad-release-come-back-out-cleanly" }, { "depth": 2, "text": "Incident response and circuit breakers: when a gate fails anyway", "anchor": "incident-response-and-circuit-breakers-when-a-gate-fails-anyway", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#incident-response-and-circuit-breakers-when-a-gate-fails-anyway" }, { "depth": 2, "text": "The twelve-gate summary table", "anchor": "the-twelve-gate-summary-table", "url": "https://changegamer.ai/articles/agent-reliability-production-checklist#the-twelve-gate-summary-table" } ], "faq": [ { "question": "What is the difference between a production checklist and a production gate for an AI agent?", "answer": "A production checklist lists an intended state a team can claim reached without anyone confirming it — 'guardrails are in place,' 'the eval suite gates every promotion' — while a production gate names the exact artifact a reviewer checks instead, such as a schema audit confirming a specific field or a trace record confirming a specific attribute, so the claim resolves to a checked yes or no rather than a self-reported task label." }, { "question": "What evidence actually proves an AI agent's idempotency gate is met, rather than just documented?", "answer": "Proving an AI agent's idempotency gate is met requires actually replaying one workflow step twice against a test double and checking that only one real side effect resulted from both attempts combined, a guarantee that holds only once that specific test has run, not merely once the key-derivation logic has been written and reviewed on paper." }, { "question": "Why must trace export happen before any other recovery action for the incident-response gate to count as passed?", "answer": "Trace export has to run before any other recovery action because a version swap or a process restart carried out first can strand the specific span-level record a post-mortem depends on afterward, turning what should be a traced investigation into guesswork for exactly the incident where a real answer matters most." }, { "question": "What can a team check for the circuit-breaker gate when the underlying threshold values aren't standardized anywhere?", "answer": "A team can still check that a separate failure counter exists for every distinct tool, model provider, and retrieval index the agent depends on rather than one shared counter for the whole run, and that a written fallback behavior was already chosen for at least the dependency most likely to fail, since no corpus-documented failure-threshold number generalizes across dependencies with different failure profiles." } ], "body": "The [agent reliability in production](/articles/agent-reliability-in-production) pillar closes with thirteen checklist bullets mapped onto twelve reliability disciplines — one terse line per discipline, stating what production-readiness requires without stating how a reviewer confirms it actually holds. This article turns each bullet into a go/no-go gate: the specific artifact, header, field, or test result that proves the condition is met, plus a link to whichever sibling article in this cluster owns that discipline's mechanics in depth. It does not re-derive any of those eleven siblings' content — a gate names the evidence a reviewer checks for, not the how-to behind producing it.\n\n## From checklist bullet to go/no-go gate\n\nA checklist bullet and a go/no-go gate answer different questions about the same claim. A bullet like \"guardrails are in place\" or \"the eval suite gates every promotion\" names an intended state a team can assert without a reviewer ever confirming it held; a gate instead names the exact fact a reviewer checks directly — does this schema field exist, does this header actually get read, did this trace attribute actually get written on the last real run. The twelve gates below follow the pillar's own discipline order, since several depend on the ones before them: the rollout gate presumes a candidate already cleared the CI-evaluation gate, not the other way around, and a runbook's incident-response gate presumes the observability gate is already producing the trace data a post-mortem needs.\n\n## Is every model output contractually valid before anything executes?\n\nA model's output is contractually valid once a schema physically rules out the shapes a downstream call would otherwise have to guess about — the first two gates confirm that guarantee actually holds in a test, not just that a provider offers the capability.\n\n- **Gate 1 — tool-calling contracts.** Evidence: a schema audit walks every declared tool and confirms `additionalProperties` is set to `false` with no field left off the `required` list, and a deliberately malformed test call — one naming a tool the schema never declared — gets rejected before the handler executes, not discovered later from a crash log. Mechanics: [tool-calling contracts for AI agents](/articles/tool-calling-contracts-for-ai-agents).\n- **Gate 2 — structured outputs.** Evidence: the code path parsing a schema-constrained reply branches on `stop_reason` for `max_tokens` or `refusal` before it ever calls a JSON parser, since a 200 response alone does not rule out a truncated or refused object underneath it. Mechanics: [structured outputs vs tool calling](/articles/structured-outputs-vs-tool-calling).\n\nNo-go: either gate fails if the only call on record is a clean, well-formed one — a contract nobody has tested against a malformed name or a truncated reply has not actually been verified, only assumed.\n\n## Can a retry or a crash-recovery replay duplicate a side effect?\n\nRetries and idempotency get separate gates because a call can retry correctly on schedule and still duplicate a side effect if the key deduplicating it is built wrong.\n\n- **Gate 3 — retries.** Evidence: the backoff implementation never returns a computed wait shorter than the value present in a live 429's own `Retry-After` header, confirmable by forcing that response in a test environment and checking the actual delay against it rather than trusting the backoff formula on paper. Mechanics: [how to make AI agent retries idempotent](/articles/retries-and-idempotency-for-ai-agents).\n- **Gate 4 — idempotency.** Evidence: a key-derivation audit confirms the value feeding a side-effecting call's dedup field comes from the workflow's own identifiers rather than from a timestamp function or a randomly generated identifier, verified in practice by replaying the identical step twice against a test double and counting only one real effect across both tries. Mechanics: [how to make AI agent retries idempotent](/articles/retries-and-idempotency-for-ai-agents).\n\nNo-go: a retry path only ever exercised against a mocked success response has proven neither gate — both need a forced failure, and idempotency needs a forced duplicate attempt on top of that.\n\n## Does a stuck step get cut off before it stalls the whole run?\n\nA stuck step should hit its own boundary and fail before it quietly spends the time budget every step after it was counting on.\n\n- **Gate 5 — timeouts.** Evidence: the timeout attached to a given step comes from that step's own measured tail latency — inference calls, external API calls, and nested agent invocations don't share one number — and the sum of every step's retry-plus-timeout allowance still fits inside whatever SLA the calling context imposes, checked as a running chain total rather than per step in isolation. Mechanics: [how to set timeouts for AI agent tool calls](/articles/timeouts-and-deadlines-for-ai-agents).\n- **Gate 6 — durable execution.** Evidence: for any task that can outlive one process's lifetime, the orchestration code contains no direct clock read, no direct random-number call, and no direct LLM or API call — each of those instead runs inside a step or activity the engine records once and replays from, confirmable by killing the process mid-run and checking that whatever it does next picks up where the recorded log left off rather than re-triggering an action already taken. Mechanics: [when do AI agents need durable execution](/articles/durable-execution-for-ai-agents).\n\nNo-go: a task that plainly crosses a process-lifetime boundary — a pending human approval, a multi-hour chain — but still runs on plain retry-and-timeout logic with no checkpoint log fails gate 6 outright, no matter how well gate 5 is sized.\n\n## Guardrails and CI evaluation: the two gates before a release ships\n\nA release earns the right to reach a canary only after its behavior has been checked against policy and against a task suite, in that order.\n\n- **Gate 7 — guardrails.** Evidence: input, output, and action guardrails each fire independently of one another, and a check that comes back inconclusive — no confident allow, no confident block — is treated as a block or an escalation on review rather than let through by default. Mechanics: [how to design guardrails for AI agent reliability](/articles/agent-guardrails-for-reliability).\n- **Gate 8 — evaluation in CI.** Evidence: the eval report scoring a release candidate carries a task-success-rate, a tool-call-accuracy, a cost-per-task, and a pass^k consistency figure side by side, not a lone pass/fail result from one run, and the CI pipeline itself runs mocked and cassette-replayed tests on every commit while a separate, small live-smoke suite runs on a nightly schedule and never blocks a pull request. Mechanics: [how to evaluate AI agents in CI](/articles/evaluating-ai-agents-in-ci).\n\nNo-go: an eval report built from a single run's pass/fail, or a CI job that still calls a live model on every commit instead of replaying a stored exchange, has not cleared gate 8 regardless of how the numbers look.\n\n## Is there a record of the run afterward, and does a bad release come back out cleanly?\n\nA release that ships without both of these gates leaves a team debugging blind if something goes wrong, and rolling back by hand if it does.\n\n- **Gate 9 — observability.** Evidence: pulling one real trace shows every span holding four things at once — a computed dollar cost, its own duration next to the run's running total, a payload with personal data already stripped out, and whichever exception actually broke that step recorded on that step alone rather than rolled into one generic top-level error. Mechanics: [what should an AI agent's observability system capture](/articles/agent-observability-for-reliability).\n- **Gate 10 — rollout.** Evidence: a new version's canary carries somewhere between 5% and 10% of production traffic, an automatic rollback trigger watches for a falling task-success rate or a shifted output distribution rather than crashes alone, and the previous version keeps running through the whole canary window, which is what turns a rollback into swapping a pointer instead of standing up a new build. Mechanics: [how to roll out a new AI agent version safely](/articles/agent-rollout-and-rollback).\n\nNo-go: a rollback trigger wired only to exceptions and 5xx responses misses the failure gate 10 mainly exists to catch — a version that never throws an error but answers worse than the one it replaced.\n\n## Incident response and circuit breakers: when a gate fails anyway\n\nEvery gate above can pass in review and an agent can still fail once real traffic hits it, which is exactly what the last two gates are for.\n\n- **Gate 11 — incident response.** Evidence: a written runbook exists that a responder can open and act on for each of four failure classes — a kill switch for runaway cost, a rollback for prompt or behavioral regression, a circuit breaker for a tool or dependency outage, credential revocation for a security incident — and exporting the trace store is the literal first line of that runbook, positioned ahead of a version swap or a restart so a post-mortem still has the spans it needs afterward. Mechanics: [how to build an incident response runbook for AI agent failures](/articles/agent-incident-response-runbooks).\n- **Gate 12 — circuit breakers.** Evidence: a failure counter exists separately for every distinct thing the agent depends on — one per tool, one per model provider, one per retrieval index — rather than a single counter shared across an entire run, and a fallback behavior was chosen in writing, ahead of time, for whichever dependency is most likely to be the one that goes down first. Mechanics: [how to design a circuit breaker for AI agents](/articles/circuit-breakers-and-degraded-mode-for-ai-agents).\n\nNo-go: a runbook that lives only as an unwritten incident-channel habit, or a single breaker wrapped around an entire agent run instead of one per dependency, fails its gate regardless of how well-intentioned the team behind it is.\n\n## The twelve-gate summary table\n\n| # | Discipline | Gate condition | Mechanics owned by |\n|---|---|---|---|\n| 1 | Tool-calling contracts | Schema audit confirms strict fields; malformed test call rejected before execution | [Tool-calling contracts for AI agents](/articles/tool-calling-contracts-for-ai-agents) |\n| 2 | Structured outputs | `stop_reason` checked for truncation/refusal before parsing | [Structured outputs vs tool calling](/articles/structured-outputs-vs-tool-calling) |\n| 3 | Retries | Backoff floor tested against a forced 429 and the `Retry-After` header | [Retries and idempotency for AI agents](/articles/retries-and-idempotency-for-ai-agents) |\n| 4 | Idempotency | Two attempts at the same step, tested, produce one real effect | [Retries and idempotency for AI agents](/articles/retries-and-idempotency-for-ai-agents) |\n| 5 | Timeouts | Per-step-type sizing; full chain budget fits the caller's SLA | [Timeouts and deadlines for AI agents](/articles/timeouts-and-deadlines-for-ai-agents) |\n| 6 | Durable execution | No direct clock/random/API call in orchestration code; resumes cleanly after a kill | [Durable execution for AI agents](/articles/durable-execution-for-ai-agents) |\n| 7 | Guardrails | Three checkpoints independent; uncertain verdict blocks or escalates | [Agent guardrails for reliability](/articles/agent-guardrails-for-reliability) |\n| 8 | Evaluation in CI | Multi-metric eval report; mocked/cassette tests per commit, live smoke tests nightly | [Evaluating AI agents in CI](/articles/evaluating-ai-agents-in-ci) |\n| 9 | Observability | Every span carries cost, latency, a redacted payload, and its own exception | [Agent observability for reliability](/articles/agent-observability-for-reliability) |\n| 10 | Rollout | Canary plus regression-triggered rollback; prior version stays live | [Agent rollout and rollback](/articles/agent-rollout-and-rollback) |\n| 11 | Incident response | Runbook per failure class; trace export precedes any other recovery step | [Agent incident response runbooks](/articles/agent-incident-response-runbooks) |\n| 12 | Circuit breakers | One breaker per dependency; degraded mode designed ahead of the failure | [Circuit breakers and degraded mode for AI agents](/articles/circuit-breakers-and-degraded-mode-for-ai-agents) |\n\nNone of these twelve gates amounts to much reviewed on its own — a schema field, a response header, a trace attribute, a traffic percentage. What makes the full review worth running rather than skimming is that the twelve are not actually independent once real traffic is involved: the same call whose schema gets audited in gate 1 is the one whose retry needs the dedup key checked in gate 4, whose slowest realistic case sets the number checked in gate 5, and whose eventual failure is exactly what gates 11 and 12 exist to have a pre-written answer for. Treating this as twelve unrelated checkboxes misses how often one bad production request works its way through most of them in a single run. See the [agent reliability in production](/articles/agent-reliability-in-production) pillar for how these twelve disciplines fit together as a single stack, and each of the eleven sibling articles linked above for the mechanics behind its own gate.", "cluster": { "id": "agent-reliability", "title": "Agent reliability in production", "description": "How to make an AI agent reliable — tool-calling contracts, structured outputs, retries and idempotency, timeouts, durable execution, guardrails, evaluation in CI, observability, incident response, and rollout.", "status": "complete", "pillar": { "slug": "agent-reliability-in-production", "title": "Agent Guardrails and the AI Agent Reliability Playbook", "description": "Agent guardrails plus the eleven other disciplines that make an AI agent reliable in production: tool calling, retries, durable execution and rollout.", "kind": "pillar", "order": 0, "html": "https://changegamer.ai/articles/agent-reliability-in-production", "markdown": "https://changegamer.ai/articles/agent-reliability-in-production.md", "json": "https://changegamer.ai/api/articles/agent-reliability-in-production.json" }, "articles": [ { "slug": "tool-calling-contracts-for-ai-agents", "title": "How to Make AI Agent Tool Calling Reliable", "description": "An operator playbook for tool-calling contracts: per-provider strict-mode config (OpenAI, Anthropic, Gemini, self-hosted grammars), the full failure-mode-to-fix table, what BFCL actually measures, and how to stop parallel tool calls from breaking a dependency chain.", "kind": "sub", "order": 1, "html": "https://changegamer.ai/articles/tool-calling-contracts-for-ai-agents", "markdown": "https://changegamer.ai/articles/tool-calling-contracts-for-ai-agents.md", "json": "https://changegamer.ai/api/articles/tool-calling-contracts-for-ai-agents.json" }, { "slug": "structured-outputs-vs-tool-calling", "title": "Structured Outputs vs Tool Calling: When to Use Each", "description": "A decision framework for structured outputs versus tool calling in AI agents, with runnable JSON Schema examples for OpenAI, Anthropic, Gemini, vLLM/SGLang, and llama.cpp, plus mitigation code for truncation, refusal, and grammar-compilation latency.", "kind": "sub", "order": 2, "html": "https://changegamer.ai/articles/structured-outputs-vs-tool-calling", "markdown": "https://changegamer.ai/articles/structured-outputs-vs-tool-calling.md", "json": "https://changegamer.ai/api/articles/structured-outputs-vs-tool-calling.json" }, { "slug": "retries-and-idempotency-for-ai-agents", "title": "How to Make AI Agent Retries Idempotent", "description": "A deep-dive on retrying agent tool calls safely: the transient-vs-terminal decision, why an agent side effect can fire before a failure signal reaches the caller, idempotency-key mechanics (run ID + step index), the unknown-outcome edge case, and where idempotency keys do not reach.", "kind": "sub", "order": 3, "html": "https://changegamer.ai/articles/retries-and-idempotency-for-ai-agents", "markdown": "https://changegamer.ai/articles/retries-and-idempotency-for-ai-agents.md", "json": "https://changegamer.ai/api/articles/retries-and-idempotency-for-ai-agents.json" }, { "slug": "durable-execution-for-ai-agents", "title": "When Do AI Agents Need Durable Execution?", "description": "A deep-dive on durable execution for AI agents: the persisted event log, the replay-determinism constraint, the four architectural shapes mapped across ten engines and frameworks, and a decision framework for when a durable execution engine is worth adding at all.", "kind": "sub", "order": 4, "html": "https://changegamer.ai/articles/durable-execution-for-ai-agents", "markdown": "https://changegamer.ai/articles/durable-execution-for-ai-agents.md", "json": "https://changegamer.ai/api/articles/durable-execution-for-ai-agents.json" }, { "slug": "agent-guardrails-for-reliability", "title": "How to Design Guardrails for AI Agent Reliability", "description": "An operator playbook for reliability guardrails: the three checkpoints (input, output, action), layering cheap checks under slow ones with a fail-closed default, the two-of-three-properties rule for when a tool call needs human approval, and logging every verdict against the run trace ID.", "kind": "sub", "order": 5, "html": "https://changegamer.ai/articles/agent-guardrails-for-reliability", "markdown": "https://changegamer.ai/articles/agent-guardrails-for-reliability.md", "json": "https://changegamer.ai/api/articles/agent-guardrails-for-reliability.json" }, { "slug": "evaluating-ai-agents-in-ci", "title": "How to Evaluate AI Agents in CI", "description": "An operator playbook for gating an AI agent release in CI: why agent eval needs trajectory-level scoring across the tasks it actually runs, how public benchmarks diverge as proxies, ground-truth vs LLM-as-judge tool-call scoring, and the three-layer test pyramid that keeps CI fast and non-flaky.", "kind": "sub", "order": 6, "html": "https://changegamer.ai/articles/evaluating-ai-agents-in-ci", "markdown": "https://changegamer.ai/articles/evaluating-ai-agents-in-ci.md", "json": "https://changegamer.ai/api/articles/evaluating-ai-agents-in-ci.json" }, { "slug": "agent-rollout-and-rollback", "title": "How to Roll Out a New AI Agent Version Safely", "description": "An operator playbook for shipping a new agent version without breaking production: in-repo vs. registry prompt storage, a version-numbering comparison, the six-step promotion flow, A/B-test mechanics, the composite-version trace fields, and a rollback drill.", "kind": "sub", "order": 7, "html": "https://changegamer.ai/articles/agent-rollout-and-rollback", "markdown": "https://changegamer.ai/articles/agent-rollout-and-rollback.md", "json": "https://changegamer.ai/api/articles/agent-rollout-and-rollback.json" }, { "slug": "agent-incident-response-runbooks", "title": "How to Build an Incident Response Runbook for AI Agent Failures", "description": "An operator playbook for the moment an AI agent fails in production: a triage step to classify the failure fast, trace freezing before rollback destroys the evidence, first-response depth on the four failure classes, and a blameless post-mortem that feeds back into guardrails and eval.", "kind": "sub", "order": 8, "html": "https://changegamer.ai/articles/agent-incident-response-runbooks", "markdown": "https://changegamer.ai/articles/agent-incident-response-runbooks.md", "json": "https://changegamer.ai/api/articles/agent-incident-response-runbooks.json" }, { "slug": "timeouts-and-deadlines-for-ai-agents", "title": "How to Set Timeouts for AI Agent Tool Calls", "description": "A deep-dive on timeout and deadline design for AI agents: sizing LLM-call, tool-call, and sub-agent-hop timeouts differently, allocating a wall-clock budget across a multi-step chain, and propagating a remaining-deadline value from parent to child calls.", "kind": "sub", "order": 9, "html": "https://changegamer.ai/articles/timeouts-and-deadlines-for-ai-agents", "markdown": "https://changegamer.ai/articles/timeouts-and-deadlines-for-ai-agents.md", "json": "https://changegamer.ai/api/articles/timeouts-and-deadlines-for-ai-agents.json" }, { "slug": "circuit-breakers-and-degraded-mode-for-ai-agents", "title": "How to Design a Circuit Breaker for AI Agents", "description": "A deep-dive on the circuit breaker pattern for AI agents: the Closed/Open/Half-Open state machine with a worked open-source example, where to place a breaker in an agent's call path, and degraded-mode fallback design as its own discipline per dependency type.", "kind": "sub", "order": 10, "html": "https://changegamer.ai/articles/circuit-breakers-and-degraded-mode-for-ai-agents", "markdown": "https://changegamer.ai/articles/circuit-breakers-and-degraded-mode-for-ai-agents.md", "json": "https://changegamer.ai/api/articles/circuit-breakers-and-degraded-mode-for-ai-agents.json" }, { "slug": 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