BerriAI/litellm - GitHub vs Code Autopilot
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. | ChatGPT for GitHub is an integration within your GitHub account that helps in solving bugs automatically, asking questions, and getting summaries of Pull Requests using your current tools. Trusted by over 1000 GitHub users, it offers features like transforming task descriptions into implementation plans, providing code snippets, and efficient Pull Request reviews. The solution enhances team productivity by enabling real-time conversations directly within your Issue or Pull Request threads to refine solutions and collaborate effectively. |
| Category | Developer Tools | Conversational AI |
| Rating | No reviews | No reviews |
| Pricing | Open Source | Freemium |
| Starting Price | N/A | Free |
| Plans | — |
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| Tags | AI gatewayPython SDKLLM routingMCP gatewayvirtual keys | GitHubbug solvingquestionssummariesPull Requests |
| 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 | ||
| Automated bug fixing | ||
| Implementation plan generation from task descriptions | ||
| Real-time AI assistance in Issue or Pull Request threads | ||
| Summarized Pull Request changes | ||
| Code snippet generation | ||
| Enhanced team productivity | ||
| Real-time collaboration | ||
| Trusted by over 1000 GitHub users | ||
| Ease of integration with existing tools | ||
| Free trial available | ||
| View BerriAI/litellm - GitHub | View Code Autopilot | |
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