TokSpan Blog

LLM API latency optimization: decompose TTFT, inter-token, and network, then fix each layer — streaming, caching, tiering, and routing. Measured, not guessed.

How batch APIs cut LLM costs about 50%: provider discounts and completion windows, fan-out workflows with webhooks, and batch × caching × routing savings.

Extract structured JSON from PDFs with LLMs: an honest benchmark of LLM-only vs parsers vs open source, plus schema validation and cost per 1,000 docs.

1M-token windows change the cost math, not the physics: token-economics tables, compaction workflow patterns, and a long-context-vs-RAG decision framework.

Prompt injection prevention: direct, indirect, and multi-hop attacks, and the layered defense that stops them — from input filtering to tool sandboxing.

Speech-to-text API comparison: AssemblyAI, Deepgram, Whisper, and OpenAI on WER, latency, and hourly cost — plus streaming-vs-async and self-host TCO.

Text-to-speech API comparison with a blind-test kit you can run: ElevenLabs, OpenAI, Azure, and Deepgram on naturalness, latency, and cost per character.

Build production text-to-SQL agents: benchmarks across GPT, Claude, Gemini, and DeepSeek, schema linking, read-only guardrails, and evaluation on real schemas.

180+ LLM API prices ranked by cost and performance. Cost-per-benchmark rankings, reader-profile model picks, and prompt caching savings data.

23 costly LLM API mistakes: real incidents, one-sentence fixes, OWASP Top 10 mapping. Hardcoded keys, missing caps, no fallback. Printable checklist.

One API key for GPT-5.5, Claude Opus, Gemini 3.1, and DeepSeek V4. Python and Node.js code, production fallback patterns, and 5-minute setup.

Compare agent-to-agent communication protocols: Google A2A, Anthropic MCP, and native function calling. When to use each, performance trade-offs, and cross-framework interoperability.