Tygress vs LiteLLM
LiteLLM gives teams a mature abstraction across many model providers. Tygress covers the core LLM gateway work, from model routing and failover to virtual keys, team budgets, and guardrails, and is also a full API gateway for REST, gRPC, and WebSocket traffic, with OIDC, LDAP, and mTLS identity built in, plus TCP/UDP proxying at L4. It is one self-hosted binary, and its planned pricing has no enterprise-only gateway features.
Tygress is pre-release: the gateway is built, with 40 dated updates since June 2026, but it is not publicly available yet.
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Why Tygress
The case for Tygress is not that LiteLLM lacks useful model features: its open-source edition already includes virtual keys, teams, budgets, and fallbacks. It is that AI traffic eventually needs the same identity, rate limiting, resilience, and protocol support as every other API. Tygress puts those concerns in one gateway instead of synchronizing policy across an API gateway and a separate LLM proxy.
Clients
Upstreams
Your services
LLM providers
Agents and tools
L4 passthrough: TCP, UDP and TLS traffic is forwarded outside the HTTP plugin chain.
OIDC, JWT/JWKS, JWE, LDAP/AD, mTLS, and OAuth2 introspection, plus OPA, ACME, gRPC transcoding, and L4 proxying, are part of the gateway. Planned pricing puts every gateway capability in the $0 tier; paid plans are hosting, support, and services.
Issue a virtual key with a budget, rate and token limits, allowed models, and expiry in one call. Teams carry shared USD budgets alongside each member's own, limits can key on JWT claims, and webhook alerts fire at thresholds you set.
DLP and the prompt guard can scan each chunk of a streamed reply as it passes. Translation and request signing run inside each retry and failover attempt, after redaction, so a signed request, such as SigV4 to Bedrock, covers the exact bytes that attempt sends. LiteLLM's built-in content filter also checks streaming chunks, so compare detectors and actions rather than stream coverage.
Allowlist MCP tools per consumer and hold MCP tool calls and A2A methods for human approval, with a 45-second default timeout and default deny. Expose REST or OpenAPI 3.x upstreams as MCP tools and route A2A agents.
Clients call Chat Completions, Responses, or Anthropic Messages on any of nine provider types: natively where the provider offers the API, bridged otherwise. LiteLLM serves these APIs too; where Tygress bridges, it refuses a feature it can't carry, such as a stored conversation or image input, with a 400 that names the field instead of dropping it.
Tygress runs as one binary, or as split control and data planes that sync over NATS. PostgreSQL and Redis are optional, for durable budgets, usage history, and counters shared across replicas. Air-gapped use also needs local model endpoints and identity services.
Side by side
This is a category comparison, not a claim that one product wins every workload. Tygress is designed for consolidation; LiteLLM is optimized for dedicated model access. LiteLLM cells were checked against LiteLLM's documentation and pricing on .
| Capability | Tygress | LiteLLM |
|---|---|---|
| Availability | Pre-release; waitlist open | Generally available and production-deployed |
| Primary job | API gateway and AI gateway in one binary | AI gateway (LLM proxy) and Python SDK |
| Traffic governed | REST, gRPC, WebSocket, LLM, MCP, and A2A; TCP/UDP proxied at L4 | LLM, model, MCP, and agent traffic; HTTP pass-through available |
| Gateway authentication | OIDC, JWT/JWKS, JWE, LDAP/AD, mTLS, OAuth2 introspection, HMAC, and API keys | Virtual keys; OIDC/JWT and OAuth2 gateway auth are Enterprise |
| Enterprise-only features | None in planned pricing; paid plans are hosting, support, and services | SSO + SCIM, OIDC/JWT auth, audit logs, secret managers, multi-region control plane, air-gap |
| Providers and client APIs | 9 provider types; Chat Completions, Responses, and Messages on each, bridged where not native | 140+ providers and 1,800+ models; OpenAI-compatible Chat Completions, plus Responses and Anthropic Messages endpoints |
| Keys, teams, and budgets | Virtual keys; teams with shared and per-member USD budgets; per-user limits from JWT claims; threshold alerts | Virtual keys, users, teams, spend tracking, budgets, and rate limits in the open-source edition |
| Guardrails | Regex DLP and a prompt guard on prompts and, when enabled, on buffered and streamed replies; per-consumer model allowlists | Broad guardrail ecosystem; only secret detection and redaction is Enterprise |
| Routing and caching | Fallback, round-robin, weighted, and semantic routing; provider key pools; semantic cache; failover | Routing, fallbacks, and caching, including semantic caching |
| Agent governance | MCP tool allowlists, REST-to-MCP tools, A2A routing, human approvals denied by default | MCP gateway (key, team, org permissions) and A2A agent gateway (key, team permissions) |
| Runtime | Rust, on its own async transport | Python request path; Rust core in beta (opt-in per model, OCR on Rust by default); full Rust port targeted for end of 2026 |
| Deployment | One binary or split planes; PostgreSQL, Redis, and NATS optional; no Helm chart, and no image published yet | Proxy service; Postgres required for virtual keys, Redis once you run more than one instance; official Helm chart and Terraform modules |
Tygress column reflects the current pre-release build. Tygress has no SCIM provisioning or multi-region control plane. Its append-only PostgreSQL records cover config revisions (in control-plane mode), approval decisions, and autopilot changes; there is no per-request audit trail. LiteLLM's Rust port is moving quickly, and the runtime row reflects its public tracker on 6 October 2026.
Choose Tygress if
Unsure whether you need both kinds of gateway? Read AI gateway vs API gateway
Choose LiteLLM if
Migration path
Tygress targets LiteLLM Proxy deployments, not the in-process Python SDK. OpenAI-compatible clients keep the same request shape while infrastructure policy moves to Tygress in deliberate stages.
# LiteLLMbase_url = "http://litellm:4000"# Tygress, with key-auth reading x-api-keybase_url = "https://gateway.internal/v1"default_headers = {"x-api-key": TYGRESS_KEY}Point OpenAI SDK clients at Tygress's Chat Completions, Responses, or embeddings endpoints, and Anthropic SDK clients at /v1/messages. The request shape your applications send stays the same. With key-auth reading x-api-key, Anthropic SDK clients pass the gateway key as their API key, which that SDK sends as x-api-key; OpenAI SDK clients add it as an x-api-key default header, because key-auth does not strip a Bearer prefix.
Map LiteLLM virtual keys, users, and teams to Tygress consumers and teams, then add per-route authentication. One admin call issues a key, with a value you supply if you want, plus its budget, limits, allowed models, and expiry.
Recreate fallbacks, rate limits, budgets, caches, and guardrails as Tygress provider targets and plugins. Requests route on the model ids your providers declare, so clients that call LiteLLM-specific model names switch to those ids.
Bring REST, gRPC, and agent traffic onto the same gateway, then retire the separate API gateway's duplicate policy gradually.
FAQ
Yes, for teams running the LiteLLM Proxy as a self-hosted LLM gateway. Tygress serves the OpenAI Chat Completions and Responses APIs and the Anthropic Messages API across nine provider types, with model routing, failover, virtual keys, team budgets, guardrails, and observability. It also handles REST, gRPC, WebSocket, and TCP/UDP traffic, MCP tools, and A2A agents, so it can replace a separate API gateway running beside LiteLLM. It does not replace LiteLLM's Python SDK, and Tygress is pre-release: the gateway is built but not yet publicly available.
LiteLLM is centered on model access through its Python SDK and its AI gateway (proxy), which also fronts MCP servers and A2A agents. Tygress is a full API gateway and an AI gateway in one self-hosted binary. The practical difference is scope: Tygress puts application APIs, model calls, MCP tools, and agent traffic behind one identity and rate-limit model, adds budgets and guardrails where model and agent traffic needs them, and its planned pricing has no enterprise-only gateway features.
LiteLLM's pricing page and documentation put virtual keys, users and teams, spend tracking, budgets, rate limits, fallbacks, logging, and Prometheus metrics in its free open-source edition. Enterprise adds SSO and SCIM, OIDC/JWT and OAuth2 gateway authentication, audit logs, secret managers and key rotation, organization and team admins, a multi-region control plane, SLAs, and air-gap support. Among guardrails, only secret detection and redaction is Enterprise-only. Tygress's planned pricing puts every gateway capability, including OIDC, JWT, LDAP, and mTLS authentication, in the $0 tier, with paid plans limited to hosting, support, and services. Tygress has no SCIM or multi-region control plane.
As of 6 October 2026, LiteLLM is porting its gateway to Rust. Its Rust AI Gateway is still labelled beta: for chat, Messages, and Responses the Rust core is opt-in per model, and LiteLLM's documentation says Python keeps owning authentication, configuration, routing, logging, callbacks, and spend tracking, with unsupported paths falling back to Python. OCR has run on Rust by default since v1.102.0. LiteLLM's public tracker showed 5% of major APIs migrated as of v1.104.0-rc.1, with a goal of 100% by 31 December 2026. Tygress's data plane and policy path are written in Rust, so runtime language is a narrowing difference; scope is the larger one.
Yes. Tygress serves OpenAI Chat Completions on all nine provider types. OpenAI Responses runs natively on OpenAI and Azure OpenAI, and Anthropic Messages natively on Anthropic; other providers get both through a bridge to chat completions that refuses features it can't carry, such as stored conversations, hosted tools, extended thinking, or image input, instead of dropping them. Embeddings work with OpenAI, Azure OpenAI, Gemini, Mistral, Bedrock, and opted-in OpenAI-compatible endpoints. In most applications the switch starts with a base URL change and the gateway key. Tygress's key-auth reads the key from the header you configure, such as x-api-key, and does not strip a Bearer prefix. With x-api-key configured, OpenAI SDK clients send the key as a default x-api-key header; the Anthropic SDK already sends x-api-key. Keys, budgets, and guardrail policy then move over deliberately.
LiteLLM is the stronger choice when you need its broad provider catalog, Python SDK, mature deployment history, or an LLM-only proxy immediately. It also publishes an official Helm chart and Terraform modules, which Tygress does not offer. Tygress is the stronger fit when the goal is to run API and AI traffic through one gateway with shared identity, budgets, and guardrails, but it is pre-release and not yet publicly available.
Keep reading
Sources
Competitor capabilities change quickly. These claims use LiteLLM's own documentation, homepage, and pricing page, checked .
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