{
  "schema_version": "openagent.resource.v1",
  "id": "res_litellm",
  "slug": "litellm",
  "status": "published",
  "identity": {
    "name": "LiteLLM",
    "one_liner": "AI gateway and Python SDK for calling many LLM providers through OpenAI-compatible or native formats.",
    "short_description": "LiteLLM is a Python SDK and proxy server used by AI builders to route requests across many model providers, track cost, add logging, and manage gateway behavior."
  },
  "classification": {
    "resource_type": "tool",
    "primary_category": "tools",
    "subcategories": [
      "model-serving",
      "inference",
      "connectors",
      "llm-gateway",
      "proxy"
    ]
  },
  "positioning": {
    "why_it_matters": "Agent applications often need provider routing, fallbacks, cost tracking, and observability before they can be trusted in production. LiteLLM gives teams a practical gateway layer for those needs.",
    "best_for": [
      "Teams routing agent traffic across multiple model providers",
      "Developers who want OpenAI-compatible access to many LLM APIs",
      "Builders adding cost tracking, load balancing, and gateway logs"
    ],
    "not_for": [
      "Teams that only call one model provider directly",
      "Users who do not want to operate a gateway or proxy"
    ],
    "use_cases": [
      "self-hosted-ai"
    ],
    "target_audience": [
      "developer",
      "agent_builder"
    ],
    "maturity": "active"
  },
  "decision_signals": {
    "deployment_modes": [
      "self_hosted",
      "cloud"
    ],
    "open_source": false,
    "local_first": false,
    "self_hostable": false,
    "has_api": false,
    "has_gui": false,
    "supports_mcp": false,
    "supports_docker": false
  },
  "facts": {
    "license": "See repository",
    "pricing_model": "free",
    "github_stars": 48958,
    "github_forks": 8536,
    "github_repo_full_name": "BerriAI/litellm",
    "last_verified_at": "2026-06-02"
  },
  "capabilities": {
    "core_capabilities": [
      "model-serving",
      "inference",
      "connectors"
    ],
    "interfaces": [
      "repo",
      "docs"
    ]
  },
  "links": {
    "primary_url": "https://github.com/BerriAI/litellm",
    "items": [
      {
        "type": "github",
        "label": "GitHub",
        "url": "https://github.com/BerriAI/litellm"
      },
      {
        "type": "homepage",
        "label": "Homepage",
        "url": "https://docs.litellm.ai/docs/"
      }
    ]
  },
  "media": {
    "thumbnail_brief": {
      "resource_type": "tool",
      "visual_motif": "clean utility panel and geometric control surface",
      "background_style": "minimal editorial surface with restrained open-source accent color",
      "title_overlay": "LiteLLM",
      "subtitle": "AI gateway and Python SDK for calling many LLM providers through OpenAI-compatible or native formats.",
      "avoid": [
        "noisy poster layout",
        "large marketing slogans",
        "random gradient blobs"
      ]
    }
  },
  "tags": {
    "category": [
      "tool"
    ],
    "capability": [
      "model-serving",
      "inference",
      "connectors"
    ],
    "constraint": [
      "source-available"
    ],
    "scenario": [
      "self-hosted-ai"
    ]
  },
  "relationships": {},
  "machine_readable": {
    "canonical_url": "https://www.openagent.bot/tools/litellm",
    "json_url": "https://www.openagent.bot/tools/litellm.json",
    "markdown_url": "https://www.openagent.bot/tools/litellm.md"
  },
  "seo": {
    "title": "LiteLLM: AI gateway and SDK for agent builders",
    "description": "LiteLLM profile: provider routing, OpenAI-compatible proxy, cost tracking, official links, and OpenAgent structured data."
  },
  "editorial": {
    "trust_note": "Verified from source links and project metadata.",
    "core_strengths": [
      {
        "title": "Model serving",
        "description": "LiteLLM surfaces model serving as a core capability in its published project metadata and source links.",
        "why_it_matters": "This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs."
      },
      {
        "title": "Inference",
        "description": "LiteLLM surfaces inference as a core capability in its published project metadata and source links.",
        "why_it_matters": "This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs."
      },
      {
        "title": "Connectors",
        "description": "LiteLLM surfaces connectors as a core capability in its published project metadata and source links.",
        "why_it_matters": "This gives readers a starting point for evaluating whether the project fits their workflow before visiting the source repository or docs."
      }
    ],
    "use_case_notes": [
      {
        "title": "Self hosted ai",
        "description": "Use it as a candidate for self hosted ai when the project facts, license, and official links match your deployment requirements."
      }
    ],
    "compare_notes": [
      {
        "title": "When to choose LiteLLM",
        "summary": "Compare it with nearby tools by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need."
      }
    ],
    "getting_started": [
      {
        "label": "Review the repository",
        "url": "https://github.com/BerriAI/litellm",
        "type": "github"
      },
      {
        "label": "Homepage",
        "url": "https://docs.litellm.ai/docs/",
        "type": "homepage"
      }
    ],
    "command_line": [
      {
        "label": "Install or run",
        "command": "pip install litellm"
      }
    ],
    "seo_article": {
      "intro": "LiteLLM is a Python SDK and proxy server used by AI builders to route requests across many model providers, track cost, add logging, and manage gateway behavior.",
      "what_it_is": "LiteLLM is listed on OpenAgent.bot as a tools resource for open AI builders.",
      "why_it_matters": "Agent applications often need provider routing, fallbacks, cost tracking, and observability before they can be trusted in production. LiteLLM gives teams a practical gateway layer for those needs.",
      "how_it_works": "Start from the official source links, then validate the project against your deployment needs, license requirements, and maintenance expectations.",
      "getting_started": [
        {
          "label": "Review the repository",
          "url": "https://github.com/BerriAI/litellm",
          "type": "github"
        },
        {
          "label": "Homepage",
          "url": "https://docs.litellm.ai/docs/",
          "type": "homepage"
        }
      ]
    }
  },
  "timestamps": {
    "created_at": "2026-06-02T00:00:00.000Z",
    "updated_at": "2026-06-02T00:00:00.000Z",
    "published_at": "2026-06-02T00:00:00.000Z"
  }
}