litellm
LiteLLM is an open-source, self-hosted AI gateway and LLM proxy that centralizes access to many model providers behind a single, OpenAI-compatible API, providing routing, observability, guardrails, budgeting, and enterprise features for platform teams.
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What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
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Pricing snapshot
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litellm
LiteLLM is an open-source AI gateway and LLM proxy designed for platform teams and organizations that need centralized, auditable, and controllable access to many LLM providers and internal models. It exposes a single OpenAI-compatible API and key management layer to route requests to 140+ providers and thousands of models while providing observability, budgeting, rate limits, guardrails, and enterprise features (SSO, RBAC, audit logs).
The product is explicitly self-hostable and can run in fully air-gapped environments. It provides deployment options including Docker, Helm, and Terraform, and emphasizes low runtime overhead (Rust gateway benchmarks showing sub-millisecond p99 added latency) and production readiness for teams rolling out LLM access at scale.
LiteLLM: LLM Gateway for managing and accessing 100+ LLMs in OpenAI format.
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Claim this listing for $29Key Features
Single OpenAI-compatible API
Expose all models, agents, and MCPs behind one API and one login so applications can swap models without code changes.
Access & Key Management
Centralized key issuance and management, SSO-scoped keys by team/project/app, virtual keys and integration with existing secret managers.
Visibility, Auditing & Chargeback
Track usage and spend per key, user, team, org, tool, agent, and MCP; audit logs on every request and enterprise chargeback capabilities.
Budgets, Rate Limits & Enforcement
Hard budgets per key/team/org/model with daily/monthly resets, TPM and RPM rate limits, leaked-key protection, throttles, fallbacks and blocks at cap.
Guardrails & Policies
Built-in guardrails including PII masking, prompt-injection detection, secret-detection, toxicity filtering, and integration with multiple guardrail providers.
Auto Routing & Cost Optimization
Auto Routing to send requests to the most appropriate or lowest-cost deployment, load balancing across providers/regions/keys, response/semantic caching, and prompt compression.
Self-hosted & Air-gapped Deployment
Run the open-source gateway in your cloud or fully air-gapped environments; supports Postgres and Redis and Kubernetes autoscaling; official Docker images and one-click deploy into hyperscalers.
High-performance Rust Gateway
Benchmarked Rust implementation adding 0.66 ms p99 latency, low memory footprint and high throughput (2,800+ req/s at ~21% CPU) compared to alternatives.
Pricing
Free forever: self-hostable open-source gateway with 140+ provider integrations, virtual keys, budgets, load balancing, rate limits, and guardrails.
Free
$0- Open-source gateway (MIT)
- 140+ LLM provider integrations
- Virtual keys, budgets, and teams
- Load balancing and RPM/TPM limits
Enterprise
Contact sales / Request pricing- Everything in open source plus enterprise support and custom SLAs
- JWT auth, SSO, and audit logs
- Dedicated Slack or Teams channel with engineers
Use Cases
Platform teams standardizing model access
Provide developers across the organization a single, consistent API and key so teams can access many providers and models without procurement bottlenecks or code changes.
Cost control and chargeback
Enforce budgets, rate limits, and per-team chargeback to attribute spend and prevent runaway costs.
Production agents and MCPs
Expose agents and MCP servers through the same gateway as LLMs, enabling unified routing, logging, and policies.
Air-gapped and compliance-sensitive deployments
Self-host the gateway fully air-gapped with no telemetry, controlling data residency and meeting strict security requirements.
Integrations
LLM Providers (OpenAI, Anthropic, Vertex AI, AWS Bedrock, Cloudflare, etc.)
Connect to 140+ providers and ~1,800 models through a single API and route across providers and regions.
Observability & Logging
Integrations with Langfuse, Arize Phoenix, LangSmith, and OTEL logging for request-level telemetry.
Storage & Caching
Response and semantic caching using Redis, S3, or GCS.
Secrets & Identity
Secrets pulled from AWS Secrets Manager, Vault, or Azure Key Vault; SSO, JWT auth and RBAC via identity provider / SCIM provisioning.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Step 1: Review the docs on the LiteLLM website and repository.
- 2 Step 2: Deploy using Docker (example: docker pull docker.litellm.ai/berriai/litellm:latest; docker run -p 4000:4000 litellm).
- 3 Step 3: Optionally deploy with the official Helm chart or Terraform module, connect Postgres and Redis, configure SSO/keys/guardrails, and route traffic through the gateway.
Support
docs
Documentation and quickstart available from the LiteLLM website.
github
Open-source repo, changelog, issues and PRs are public on GitHub.
enterprise support
Dedicated Slack or Teams channel with engineers for enterprise customers; custom SLAs and support available.
API
Example shown on dashboard: TPM 2,000,000 · RPM 10,000 (gateway supports per-key and per-team rate limits and budgets)
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