Apni existing app mein GPT-4o ya Gemini 2.5 Flash integrate karein — structured output, streaming, aur error handling ke saath.
شروع از
PKR 60,000
We integrate OpenAI, Gemini, or multi-provider LLM APIs into your application with structured outputs, tool calling, streaming responses, retries, rate limits, and cost controls baked into the service layer. Provider selection weighs latency, context window, function-calling reliability, and data residency against your use case. Observability hooks log token usage, error classes, and latency percentiles so you can cap spend and debug failures without guessing.
1. Provider evaluation spike
We run benchmark prompts from your domain against shortlisted models, comparing structured output adherence, tool call success, and streaming stability.
2. Service layer implementation
API keys move server-side, request/response types defined, and parsers reject malformed model output before it reaches business logic.
3. Resilience & cost controls
Retries, circuit breakers, rate limits, and spend caps wired with alerting when thresholds approach limits.
4. Observability & handoff
Dashboards or log queries documented, runbooks for provider outages delivered, and your team walks through extension patterns for new features.
| فیصلہ عنصر | یہ طریقہ | متبادل | نوٹس |
|---|---|---|---|
| Structured output reliability | Schema validation layer with repair retry and typed SDK bindings | Prompt-only JSON with regex cleanup in app code | Regex cleanup fails on nested objects and enum drift. |
| Provider portability | Abstraction interface with swappable adapters and shared telemetry | Direct SDK calls scattered across codebase | Scattered calls make failover and deprecation migrations expensive. |
| Cost governance | Per-feature token attribution with caps and alerting | Single shared API key with one monthly invoice | Shared keys hide which feature causes spend spikes. |
| Production resilience | Backoff retries, circuit breakers, and optional secondary provider | Single try/catch returning generic error to user | Transient provider blips become user-visible outages without retries. |
| Streaming UX | First-class streaming endpoint with cancellation and backpressure handling | Blocking call waiting for full completion | Blocking calls feel sluggish on long completions and tie up workers. |
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