Splyntra
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Integrations · Foundation Models

Multi-provider telemetry, latency & pricing synchronization

Connect any frontier model, open-weights deployment, or enterprise cloud VPC. Splyntra continuously maintains exact pricing catalogs, prompt caching ratios, token throughput, and TTFT benchmarks across all major LLM providers.

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providers.py
python
# Splyntra auto-instruments all popular provider SDKs:
# 1. Anthropic Claude (Tracks 90% prompt cache discounts)
# 2. OpenAI (Tracks reasoning tokens & completion metrics)
# 3. Google Gemini (Supports 2M token context telemetry)
# 4. Groq (High-speed LPU latency percentiles)
# 5. AWS Bedrock / Azure OpenAI (Enterprise VPCs)
# 6. Ollama / vLLM (Self-hosted private models)
50+ Models
Auto-Priced Catalog
Continuously updated token pricing database.
Prompt Cache
Cost Calculation
Anthropic & OpenAI cache savings computed.
TTFT & TPS
Latency Benchmarks
Time-to-first-token & generation velocity.
VPC Private
Enterprise Security
Support for Bedrock, Azure, & VPC endpoints.

Engineered for high-throughput autonomous agents

Every capability is built into the OpenTelemetry streaming pipeline with sub-millisecond ingestion overhead.

01Anthropic

Anthropic Claude 3.5 & Prompt Caching

Full visibility into Claude 3.5 Sonnet, Haiku, and Opus calls. Exact dollar tracking of Anthropic's 90% prompt cache read discounts.

  • ✓Cache creation vs cache read token breakdown
  • ✓Tool call schema validation and streaming response telemetry
  • ✓System prompt optimization recommendations
02OpenAI

OpenAI GPT-4o, o1, o3-mini & Reasoning Tokens

Track OpenAI reasoning tokens (chain-of-thought overhead), function calling latency, and prefix caching efficiency.

  • ✓Reasoning token count and pricing separation
  • ✓Assistants API thread and run step visualization
  • ✓Azure OpenAI service and custom deployment support
03Multi-Model

Google Gemini, Groq, Bedrock & Self-Hosted vLLM

Benchmark multi-provider deployments to route agent workloads to the fastest, most cost-effective model for each reasoning step.

  • ✓Gemini 1.5 Pro 2M context window saturation tracking
  • ✓Groq ultra-fast LPU inference throughput metrics
  • ✓Local Ollama / vLLM private cluster telemetry

Frequently Asked Questions

How does Splyntra calculate prices for custom or fine-tuned models?▼
You can define custom pricing rules in the Splyntra organization settings (specifying input token price, output token price, and cached token price per million tokens) for fine-tuned or internal models.
Does Splyntra send my prompts to third parties?▼
No. Telemetry flows strictly to your Splyntra instance (or self-hosted cluster). Splyntra never shares prompts with model providers.

Related Platform Features & Guides

FinOpsCost Intelligence & FinOps →ObservabilityTraces & Replay →IntegrationsOpenTelemetry Ingestion →

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