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Jsonrpc Client Laravel Package

tochka-developers/jsonrpc-client

A PHP/Laravel JSON-RPC client for connecting to remote JSON-RPC services with a clean, expressive API. It simplifies request building, endpoint configuration, and error handling, making it easy to integrate JSON-RPC APIs into Laravel applications.

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Technical Evaluation

Architecture fit. The package targets a narrow but legitimate gap: applications that must consume remote JSON-RPC 2.0 services and want that consumption to look like a first-class Laravel citizen (service provider, facade, publishable config). Architecturally it is a thin client — an RPC envelope serializer/deserializer wrapped around an HTTP transport — which is the correct shape for this problem. It is not an RPC framework (no server, no schema/IDL, no code generation), so it competes only with hand-rolled Guzzle calls or generic HTTP clients. The "framework-agnostic API for standalone PHP" claim matters: it means the core can be reused outside Laravel, reducing lock-in if we later need the same client in a worker or CLI context.

Integration feasibility. Low friction on paper. composer require, publish config, declare one or more named connections, resolve the facade or inject the client, call methods. The configurable-connections model maps cleanly onto the common pattern of "one downstream service per connection," which fits multi-vendor backends. The main unknown is how much of the JSON-RPC 2.0 surface is actually implemented — the description asserts request/response handling and error handling but is silent on batch requests, notifications (no-id, no-response calls), named vs. positional params, and per-connection auth headers. Those four items determine whether integration is a 1-day spike or a 2-week adapter project.

Technical risk. The dominant risk is maturity, not design. Eight stars, zero dependents, and a single publisher (Tochka Developers) mean there is effectively no external validation: no third party has publicly bet production traffic on it. A last release dated 2026-07-06 is either a forward-looking maintenance signal or a metadata anomaly worth verifying against the actual tag history and commit log. Bus factor is one organization. Secondary risks: transport is likely Guzzle-bound, so timeout/retry/pooling behavior is inherited rather than owned; error taxonomy may collapse transport failures and RPC errors into one exception type, which complicates caller-side retry logic (retry-worthy vs. deterministic RPC faults); and a facade-first API invites static calls that are painful to mock in tests unless the underlying contract is injectable.

Key questions.

  • Which HTTP transport, and is it swappable? Does it support per-connection timeouts, retries, and connection reuse?
  • Is JSON-RPC 2.0 batch and notification support present? What about named parameters and per-method param mapping?
  • How are RPC errors (code/message/data) vs. HTTP/transport errors distinguished in the exception hierarchy?
  • Is there a stable interface/contract we can type-hint and mock, or is the facade the only entry point?
  • What Laravel and PHP version range is actually tested in CI, and what is the release cadence over the past 12 months?
  • Auth: bearer tokens, mTLS, HMAC signing, custom headers per connection?
  • Any hooks for logging, tracing, and request/response observability?

Integration Approach

Stack fit. Best fit is a Laravel service (8–11 range to be confirmed against CI) on PHP 8.x that calls one or more internal JSON-RPC backends — the classic case being a platform that already standardizes on JSON-RPC internally and wants consistency across consumers. It is a poor fit if the downstream is REST/gRPC; do not adopt it as a general HTTP abstraction.

Migration path. Treat it as a replacement for ad-hoc Guzzle RPC wrappers. The safe path is: inventory existing raw JSON-RPC call sites, extract the method names and param shapes, define them as connections, then migrate one low-risk call site behind an existing domain-level interface. Critically, do not let the facade leak into domain code — introduce our own thin port (e.g. SomeServiceClient interface) whose adapter implementation delegates to this package. That single seam caps the blast radius if the package is abandoned or a spec edge case is unsupported, and it makes the migration reversible in an afternoon.

Compatibility. Confirm Laravel/PHP support matrix before committing, plus whether the service provider is auto-discovered and whether config publishing is additive or destructive to config/. Also check facade alias registration — if it is not aliased by default, that is a per-app onboarding step to document. For standalone PHP use, verify the client can be constructed without the container; if it cannot, the "framework-agnostic" claim is marketing rather than architecture.

Sequencing.

  1. Spike (0.5–1 day): install in a scratch app, hit a real endpoint, exercise a success, an RPC error, a transport timeout, and (if supported) a batch call. Read the source — at this size, reading the whole package is faster than reading docs.
  2. Gap analysis: map the spike findings against the key questions above; explicitly record unsupported JSON-RPC features and decide build-vs-fork.
  3. Adapter layer: define the internal port interface and implement it over the package, including our own retry/circuit-breaker policy outside the library.
  4. Pilot: migrate one production call path behind a feature flag, instrument with tracing and error-rate dashboards.
  5. Rollout: migrate remaining call sites iteratively; keep the old path until each site has burned in for a release cycle.

Operational Impact

Maintenance. This is the headline cost. With one publishing org, no dependents, and a small star count, we should assume we may become the de facto maintainer. Budget for: pinning the version with a caret constraint, watching upstream releases manually (no ecosystem chatter will surface breakage for us), and holding a fork-ready posture. A realistic ongoing allowance is a few hours per quarter in steady state, spiking to days if a Laravel major version lands and upstream does not follow. The adapter seam from the integration plan is what converts that spike into a contained task.

Support. No commercial SLA, no vendor escalation path, community-only issue triage. Internal runbooks must therefore document the package's behavior ourselves — the version-specific quirks of error mapping, timeout defaults, and connection resolution order — because we cannot rely on upstream to answer in a timely way. Assign a named internal owner for the dependency.

Scaling. Throughput is bounded by the HTTP transport, not the package. Two things to validate under load: whether connections are reused across calls or a new client/handle is built per request (a per-call handle under high fan-out will show up as latency and socket exhaustion), and whether concurrency is achievable at all — a purely synchronous client forces us to parallelize at the job/queue layer rather than in-process. For a Laravel stack, that usually means wrapping calls in queued jobs with our own concurrency limits, which is an acceptable pattern but should be a deliberate choice, not a discovery under production load.

Failure modes. Expect four classes and instrument each distinctly: (1) transport failures — DNS, connection refused, TLS, which should trigger retry with backoff; (2) timeouts, which are ambiguous (the remote may have applied the call) and therefore require idempotency keys or read-only-safe call design before retry; (3) RPC-level errors — deterministic business faults that must not be retried and should surface as typed domain exceptions; (4) partial failures in batch calls, if batches are supported, where a single response array contains a mix of results and errors and naive code silently drops the failures. The package's error handling is described as covering transport and RPC failures — the critical diligence item is confirming these are distinguishable at the call site, since collapsing them is the most common defect in clients of this size. Add a circuit breaker and per-connection timeout budgets at our adapter layer regardless of what the package provides.

Ramp-up. Developer ramp-up is genuinely low for anyone fluent in Laravel — provider/facade/config is a familiar idiom, and a competent engineer is productive in under an hour. The real ramp-up cost is organizational: reviewers must know that this dependency is unproven, that new call sites go through the adapter, and that adding a connection is a config change requiring the config to be version-controlled and reviewed. Encode that in a short ADR and a code-owner rule rather than relying on tribal knowledge.

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