
Itzam is an open-source backend for AI applications that unifies model access, prompt management, retrieval context and spend tracking behind a single SDK and dashboard. Instead of stitching together separate providers for RAG, observability and billing, teams connect their documents and prompts once and switch models without rewriting integration code.

这是编辑给出的评估,满分 5 分,不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳,不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据,Itzam(itz.am)是一个收录在 AI API 下的 AI 平台,月访问量为 0,月度环比流量变化为 +0(0%)。其主要地理市场为全球(— 流量份额),采用免费增值定价模式。按月流量计算的主要竞争替代方案包括 OpenRouter(1994.14万次访问/月),LLM Gateway(16.84万次访问/月),LiteLLM(57.7万次访问/月)。
这玩意儿绝了,换模型再也不用改底层代码了。
开源后端省了无数胶水代码。
提示词管理利器。
还有点Bug,不过能用。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成,旨在呈现不同使用场景下的常见槽点与亮点,非实名真实用户评价。
Store documents and knowledge as named 'context slugs' that the platform indexes and retrieves, so RAG pipelines no longer need custom vector-store plumbing.
Change the active model or system prompt instantly from the dashboard; the live slug keeps working so you can test new models without a deploy.
Built-in request logs show status, model, input, per-call cost and latency for every generation, making debugging and load testing straightforward.
Aggregate spend across OpenAI, Anthropic and Google in one view, broken down by provider, model, requests and tokens.
Access 30+ models through one TypeScript SDK with streaming support, so integrating AI into an app can take a handful of lines of code.
Itzam is an open-source backend for AI applications that unifies model access, prompt management, retrieval context and spend tracking behind a single SDK and dashboard. Instead of stitching together separate providers for RAG, observability and billing, teams connect their documents and prompts once and switch models without rewriting integration code.
Prototype AI features quickly using context slugs for your docs, streaming responses through the Itzam SDK instead of wiring vector stores and provider SDKs by hand.
Compare Claude, GPT and Gemini on the same prompt and context using real cost and latency numbers from the request log before picking a production model.
Replace scattered provider dashboards with one view of requests, tokens and spend per provider and model.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Itzam | 0 | 0% | — | 免费增值 | 当前产品 |
| 1 | OpenRouter | 1994.14万 | -6.2% | 60% 直接流量 | 付费 | 对比 OpenRouter |
| 2 | LLM Gateway | 16.84万 | -14.5% | 59% 直接流量 | 免费增值,定价请咨询 | 对比 LLM Gateway |
| 3 | LiteLLM | 57.7万 | +7.9% | 40% 直接流量 | 免费增值,定价请咨询 | 对比 LiteLLM |
| 4 | APIMaster | 21.02万 | +46.3% | 31% 直接流量 | 付费 | 对比 APIMaster |
| 5 | Respan | 9.15万 | -14.5% | 25% 直接流量 | 免费增值 | 对比 Respan |
| 6 | OrcaRouter | 97.53万 | -5.2% | 26% 直接流量 | 免费增值 | 对比 OrcaRouter |
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
OrcaRouter is an OpenAI-compatible AI gateway that grades every prompt and routes it to the best-value model, then layers on failover, guardrails, an agent firewall, and compliance tooling for production AI.
一个兼容 OpenAI 的 API,接入 200 多个 AI 模型

一个通用 API,接入 500+ AI 模型与 1,000+ 智能体工具

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.