BerriAI/litellm - GitHub vs Chat with Docs
Side-by-side comparison · Updated October 2026
| Description | LiteLLM is an AI gateway and Python SDK from Berrie AI Incorporated, published in the BerriAI GitHub repository. The SDK provides a common interface for model calls inside Python applications. The proxy gateway centralizes access for a team, with virtual keys, model routing, spend tracking, budgets and an administration interface. The official documentation lists support for more than 100 model providers. Supported endpoints and features vary by integration, so verify your model’s streaming, tool-calling, image, audio or embedding requirements. The router supports retries, fallbacks and load balancing; observability integrations can send request data to tools such as Langfuse, LangSmith and OpenTelemetry. LiteLLM also provides an MCP gateway. It can connect upstream servers using Streamable HTTP, SSE or stdio, expose tools through a fixed gateway endpoint, and scope access by key, team or organization. This requires configuring the upstream servers and authentication; the gateway does not automatically grant access to third-party tools. Agent-to-agent integrations are documented separately. The open-source offering has no software license fee for self-hosting. Code outside the enterprise directory is MIT-licensed, while enterprise code has separate terms. Enterprise pricing is quoted by annual gateway request capacity, deployment architecture and support needs, rather than a per-token license charge. Model-provider charges and infrastructure costs still apply. Enterprise adds controls and support such as SSO, SCIM, audit logs and service-level agreements. Compare New API for another self-hosted gateway with provider-channel management and usage accounting. Evaluate a representative workload, inspect request logging and secret handling, test budget and failure behavior, and decide whether SDK integration or a shared gateway best fits your application. | Chatwithdocs.co offers a revolutionary API that allows users to interact with various document formats including PDFs, DOCX, DOC, PPTX, and TXT through just 2 lines of code. The service is easy to integrate, making document querying straightforward for developers using languages such as cURL, Python, and JavaScript. Their straightforward pricing model includes $25 for 900 credits per month, where each document upload costs 2 credits and each document question costs 1 credit. Additionally, users can access their privacy policy and terms of use directly from the footer of their website. |
| Category | Developer Tools | Natural Language Processing |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Paid |
| Starting Price | N/A | $25/mo |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | APIDocument InteractionPDFDOCXDOC |
| Features | ||
| Python SDK for direct application integration | ||
| Shared AI proxy gateway and administration UI | ||
| More than 100 documented model-provider integrations | ||
| Virtual keys, users, teams, budgets and rate limits | ||
| Spend tracking and observability integrations | ||
| Router retries, fallbacks and load balancing | ||
| MCP gateway for Streamable HTTP, SSE and stdio upstreams | ||
| Key, team and organization MCP permissions | ||
| Separate enterprise identity, audit and support features | ||
| Supports multiple document formats | ||
| Easy integration with 2 lines of code | ||
| Simple pricing model | ||
| 900 credits per month for $25 | ||
| 1 document upload costs 2 credits | ||
| 1 document question costs 1 credit | ||
| API supports cURL, Python, and JavaScript | ||
| Privacy policy and terms of use accessible from the footer | ||
| Efficient document querying | ||
| Suitable for various professional and educational uses | ||
| View BerriAI/litellm - GitHub | View Chat with Docs | |
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