Skip to content
ai-supply.store
DiscoverCategoriesLeaderboardsCommunityAgent APIFAQ
Sign inSign up free
catalog / Agentic capability / LiteLLM
⇄ConnectorAgentic capabilityFree

LiteLLM

Unified API gateway for 100+ LLM providers — call OpenAI, Anthropic, Gemini, Cohere, and local models with a single consistent interface.

@ai-supply
Installs205k
⟳ upstream v1.93.0 · updated 7d ago
↗ Source repository
← More Agentic capabilityAgentic capability leaderboard →How we grade security →Source ↗
! Grade B · 88/100 · ReviewSecurity assessment
✓No compromise signals46capabilities surfaced1known CVE5of 20 OWASP controls clear
Suspicious network referencesInternal host / private infrastructure referenceBroad capability surfaceSuspicious network references
scanned 1d ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

LiteLLM

LiteLLM provides a single OpenAI-compatible Python SDK and proxy server for 100+ LLM providers. Switch between models and providers by changing one string — no SDK swaps, no API re-integration, no prompt reformatting.

Key features

  • 100+ providers — OpenAI, Anthropic, Google Gemini, Cohere, Mistral, Groq, Together AI, Ollama, Azure, AWS Bedrock, and more
  • Proxy server — drop-in OpenAI-compatible HTTP proxy with load balancing, rate limiting, and cost tracking
  • Consistent output — normalizes all provider responses to the OpenAI ChatCompletion schema
  • Fallbacks — automatic failover to backup models when primary fails
  • Cost tracking — per-request and per-user cost logging with budget limits
  • Async — full async/streaming support with acompletion

Quick start

npx ai-supply add litellm-llm-gateway

# Or install directly
pip install litellm
import litellm

# Call any provider with identical syntax
response = litellm.completion(
    model="anthropic/claude-opus-4-5",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

# Switch to Gemini — same code
response = litellm.completion(
    model="gemini/gemini-1.5-pro",
    messages=[{"role": "user", "content": "Hello!"}]
)
# Or run as a proxy
litellm --model anthropic/claude-opus-4-5 --port 8000
# Now any OpenAI client can hit http://localhost:8000

Curated mirror of the open-source LiteLLM project (MIT). Install upstream from the repository.

Rating rank
#1
of 35 in Agentic capability
Install rank
#11
of 35 in Agentic capability
Security score
88/100 · B
review
Security rank
#13
of 35 in Agentic capability
Installs
205k
cat avg 186k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Agentic capability leaderboard →
! Security: Review · 8888/100 · grade Bscanned 1d ago
✓ no compromise signals47 risk-surface · 10/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · med confidence (static)
⚑ filesystem⚑ shell⚑ network⚑ secrets
egress → get.helm.sh, kind.sigs.k8s.io, astral.sh, api.openai.com, static.rust-lang.org, dl.k8s.io, host.docker.internal, nodejs.org +32
auth: bearerget.helm.shkind.sigs.k8s.ioastral.shapi.openai.comstatic.rust-lang.orgdl.k8s.iohost.docker.internalgithub.comscope: https:scope: self._scope_tagscope: litellm_params_dict.getscope: azure_scopescope: _depthscope: litellm_params.getscope: self._resolve_env_varscope: GIGACHAT_API_PERS

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected · BerriAI-litellm-2412326/cookbook/LiteLLM_CometAPI.ipynb (CWE-77)expected
⚠LLM02Sensitive Information Disclosurehigh
Secrets, credentials or PII shipped inside the artifact.
•Embedded credentials — found: hardcoded credential · BerriAI-litellm-2412326/ci_cd/TEST_KEY_PATTERNS.md (CWE-798)expected
•Low-confidence secret match — 1 possible: generic-api-key · BerriAI-litellm-2412326/litellm-rust/crates/core/src/providers/bedrock/aws_base.rs (CWE-798)risk surface
⚠LLM03Supply Chainhigh
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 273 pip requirements declared · BerriAI-litellm-2412326/.github/scripts/triage-requirements.txtrisk surface
•Dependency manifest — 2 pip requirements declared · BerriAI-litellm-2412326/cookbook/anthropic_agent_sdk/requirements.txtrisk surface
•Dependency manifest — 1 pip requirements declared · BerriAI-litellm-2412326/cookbook/litellm-ollama-docker-image/requirements.txtrisk surface
•Vulnerable dependencies — 6 known vulnerabilities in: rustls-webpki@0.101.7 (CWE-1395)known CVE · -12 pts
⚠LLM05Improper Output Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Suspicious code patterns — OS command execution · BerriAI-litellm-2412326/.github/scripts/agent_shin_shared.py (CWE-78)expected
•Suspicious code patterns — pipe-to-shell install · BerriAI-litellm-2412326/CLAUDE.md (CWE-494)expected
•Suspicious code patterns — dynamic code execution · BerriAI-litellm-2412326/cookbook/result.html (CWE-95)expected
•Suspicious code patterns — destructive rm -rf / · BerriAI-litellm-2412326/docker/build_from_pip/Dockerfile.build_from_pip (CWE-78)expected
•Suspicious code patterns — dynamic os import · BerriAI-litellm-2412326/litellm/integrations/gcs_bucket/gcs_bucket_mock_client.pyexpected
⚠LLM06Excessive Agencyhigh
Over-broad tool/permission surface or unrestricted egress.
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · BerriAI-litellm-2412326/.circleci/config.yml (CWE-272)risk surface
•Egress to a private/loopback host — 127.0.0.1 · BerriAI-litellm-2412326/.circleci/config.yml (CWE-918)expected
•External endpoints declared — 12 distinct host(s) · BerriAI-litellm-2412326/.circleci/config.ymlexpected
•External endpoints declared — 4 distinct host(s) · BerriAI-litellm-2412326/.devcontainer/devcontainer.jsonexpected
•External endpoints declared — 1 distinct host(s) · BerriAI-litellm-2412326/.devcontainer/post-create.shexpected
•External endpoints declared — 2 distinct host(s) · BerriAI-litellm-2412326/.github/ISSUE_TEMPLATE/bug_report.ymlexpected
•External endpoints declared — 3 distinct host(s) · BerriAI-litellm-2412326/.github/scripts/triage_with_llm.pyexpected
•External endpoints declared — 9 distinct host(s) · BerriAI-litellm-2412326/CONTRIBUTING.mdexpected
•Egress to a private/loopback host — 0.0.0.0 · BerriAI-litellm-2412326/README.md (CWE-918)expected
•External endpoints declared — 27 distinct host(s) · BerriAI-litellm-2412326/README.mdexpected
•External endpoints declared — 6 distinct host(s) · BerriAI-litellm-2412326/cookbook/LiteLLM_Comparing_LLMs.ipynbexpected
•External endpoints declared — 5 distinct host(s) · BerriAI-litellm-2412326/cookbook/ai_coding_tool_guides/claude_code_quickstart/guide.mdexpected
•External endpoints declared — 8 distinct host(s) · BerriAI-litellm-2412326/cookbook/litellm_proxy_server/readme.mdexpected
•External endpoints declared — 28 distinct host(s) · BerriAI-litellm-2412326/litellm/constants.pyexpected
•External endpoints declared — 7 distinct host(s) · BerriAI-litellm-2412326/litellm/litellm_core_utils/exception_mapping_utils.pyexpected
•External endpoints declared — 42 distinct host(s) · BerriAI-litellm-2412326/litellm/litellm_core_utils/get_llm_provider_logic.pyexpected
•External endpoints declared — 10 distinct host(s) · BerriAI-litellm-2412326/litellm/litellm_core_utils/prompt_templates/factory.pyexpected
⚠LLM07System Prompt Leakagehigh
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Internal host / private infrastructure reference — shipped content references a private IP range or internal-only host · BerriAI-litellm-2412326/.circleci/config.yml (CWE-200)risk surface
•Embedded credentials — found: hardcoded credential · BerriAI-litellm-2412326/ci_cd/TEST_KEY_PATTERNS.md (CWE-798)expected
•Low-confidence secret match — 1 possible: generic-api-key · BerriAI-litellm-2412326/litellm-rust/crates/core/src/providers/bedrock/aws_base.rs (CWE-798)risk surface
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · BerriAI-litellm-2412326/cookbook/anthropic_agent_sdk/agent_with_mcp.py (CWE-835)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Prompt-injection phrasing — instruction-subversion language detected · BerriAI-litellm-2412326/cookbook/LiteLLM_CometAPI.ipynb (CWE-77)expected
⚠ML06AI Supply Chainhigh
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 273 pip requirements declared · BerriAI-litellm-2412326/.github/scripts/triage-requirements.txtrisk surface
•Dependency manifest — 2 pip requirements declared · BerriAI-litellm-2412326/cookbook/anthropic_agent_sdk/requirements.txtrisk surface
•Dependency manifest — 1 pip requirements declared · BerriAI-litellm-2412326/cookbook/litellm-ollama-docker-image/requirements.txtrisk surface
•Vulnerable dependencies — 6 known vulnerabilities in: rustls-webpki@0.101.7 (CWE-1395)known CVE · -12 pts
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Suspicious code patterns — OS command execution · BerriAI-litellm-2412326/.github/scripts/agent_shin_shared.py (CWE-78)expected
•Suspicious code patterns — pipe-to-shell install · BerriAI-litellm-2412326/CLAUDE.md (CWE-494)expected
•Suspicious code patterns — dynamic code execution · BerriAI-litellm-2412326/cookbook/result.html (CWE-95)expected
•Suspicious code patterns — destructive rm -rf / · BerriAI-litellm-2412326/docker/build_from_pip/Dockerfile.build_from_pip (CWE-78)expected
•Suspicious code patterns — dynamic os import · BerriAI-litellm-2412326/litellm/integrations/gcs_bucket/gcs_bucket_mock_client.pyexpected
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (38) · hygiene / uncategorized
•Suspicious network references — raw IP URL (43 URLs) · BerriAI-litellm-2412326/.circleci/config.ymlrisk surface
•Unrecognized file type — '.dockerignore' is not on the allowlist · BerriAI-litellm-2412326/.dockerignorerisk surface
•Unrecognized file type — '.flake8' is not on the allowlist · BerriAI-litellm-2412326/.flake8risk surface
•Unrecognized file type — '.git-blame-ignore-revs' is not on the allowlist · BerriAI-litellm-2412326/.git-blame-ignore-revsrisk surface
•Unrecognized file type — '.gitattributes' is not on the allowlist · BerriAI-litellm-2412326/.gitattributesrisk surface
•Unrecognized file type — '.?' is not on the allowlist · BerriAI-litellm-2412326/.githooks/commit-msgrisk surface
•Unrecognized file type — '.gitignore' is not on the allowlist · BerriAI-litellm-2412326/.gitignorerisk surface
•Unrecognized file type — '.npmrc' is not on the allowlist · BerriAI-litellm-2412326/.npmrcrisk surface
•Suspicious network references — raw IP URL (184 URLs) · BerriAI-litellm-2412326/README.mdrisk surface
•Suspicious network references — suspicious TLD (4 URLs) · BerriAI-litellm-2412326/cookbook/Benchmarking_LLMs_by_use_case.ipynbrisk surface
•Suspicious network references — URL shortener (8 URLs) · BerriAI-litellm-2412326/cookbook/LiteLLM_Petals.ipynbrisk surface
•Suspicious network references — raw IP URL (20 URLs) · BerriAI-litellm-2412326/cookbook/Migrating_to_LiteLLM_Proxy_from_OpenAI_Azure_OpenAI.ipynbrisk surface
•Suspicious network references — raw IP URL (1 URLs) · BerriAI-litellm-2412326/cookbook/Proxy_Batch_Users.ipynbrisk surface
•Suspicious network references — suspicious TLD (7 URLs) · BerriAI-litellm-2412326/cookbook/TogetherAI_liteLLM.ipynbrisk surface
•Suspicious network references — raw IP URL (3 URLs) · BerriAI-litellm-2412326/cookbook/Using_Nemo_Guardrails_with_LiteLLM_Server.ipynbrisk surface
•Suspicious network references — raw IP URL (14 URLs) · BerriAI-litellm-2412326/cookbook/ai_coding_tool_guides/claude_code_quickstart/guide.mdrisk surface
•Unrecognized file type — '.mod' is not on the allowlist · BerriAI-litellm-2412326/cookbook/gollem_go_agent_framework/go.modrisk surface
•Unrecognized file type — '.sum' is not on the allowlist · BerriAI-litellm-2412326/cookbook/gollem_go_agent_framework/go.sumrisk surface
•Unrecognized file type — '.jsonl' is not on the allowlist · BerriAI-litellm-2412326/cookbook/litellm_proxy_server/batch_api/bedrock/bedrock_batch_completions.jsonlrisk surface
•Suspicious network references — raw IP URL (2 URLs) · BerriAI-litellm-2412326/cookbook/litellm_router/load_test_proxy.pyrisk surface
•Suspicious network references — raw IP URL (4 URLs) · BerriAI-litellm-2412326/cookbook/logging_observability/LiteLLM_Proxy_Langfuse.ipynbrisk surface
•Suspicious network references — raw IP URL (13 URLs) · BerriAI-litellm-2412326/cookbook/mock_prompt_management_server/README.mdrisk surface
•Unrecognized file type — '.pub' is not on the allowlist · BerriAI-litellm-2412326/cosign.pubrisk surface
•Unrecognized file type — '.database' is not on the allowlist · BerriAI-litellm-2412326/docker/Dockerfile.databaserisk surface
•Unrecognized file type — '.non_root' is not on the allowlist · BerriAI-litellm-2412326/docker/Dockerfile.non_rootrisk surface
•Unrecognized file type — '.build_from_pip' is not on the allowlist · BerriAI-litellm-2412326/docker/build_from_pip/Dockerfile.build_from_piprisk surface
•Unrecognized file type — '.whl' is not on the allowlist · BerriAI-litellm-2412326/enterprise/dist/litellm_enterprise-0.1.1-py3-none-any.whlrisk surface
•Archive disguised as another type — content is a zip but extension is .whl · BerriAI-litellm-2412326/enterprise/dist/litellm_enterprise-0.1.1-py3-none-any.whlrisk surface
•Suspicious network references — raw IP URL (6 URLs) · BerriAI-litellm-2412326/enterprise/litellm_enterprise/proxy/management_endpoints/project_endpoints.pyrisk surface
•Unrecognized file type — '.helmignore' is not on the allowlist · BerriAI-litellm-2412326/helm/litellm-helm/.helmignorerisk surface
•Unrecognized file type — '.tpl' is not on the allowlist · BerriAI-litellm-2412326/helm/litellm-helm/templates/_helpers.tplrisk surface
•Unrecognized file type — '.prisma' is not on the allowlist · BerriAI-litellm-2412326/litellm-proxy-extras/litellm_proxy_extras/schema.prismarisk surface
•Suspicious network references — raw IP URL (8 URLs) · BerriAI-litellm-2412326/litellm-rust/crates/ai-gateway/src/messages/tests.rsrisk surface
•Suspicious network references — raw IP URL (5 URLs) · BerriAI-litellm-2412326/litellm-rust/crates/ai-gateway/src/routes/messages/mod.rsrisk surface
•Suspicious network references — suspicious TLD (30 URLs) · BerriAI-litellm-2412326/litellm/constants.pyrisk surface
•Suspicious network references — suspicious TLD (59 URLs) · BerriAI-litellm-2412326/litellm/litellm_core_utils/get_llm_provider_logic.pyrisk surface
•Suspicious network references — suspicious TLD (38 URLs) · BerriAI-litellm-2412326/litellm/litellm_core_utils/prompt_templates/factory.pyrisk surface
•Possible obfuscation — very long lines paired with a decode/execute sink · BerriAI-litellm-2412326/litellm/litellm_core_utils/prompt_templates/factory.py (CWE-506)risk surface
✔ verified source · pinned BerriAI-litellm-2412326
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/litellm-llm-gateway/check). Click a policy:

Consume LiteLLM programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/litellm-llm-gateway

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/litellm-llm-gateway/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add litellm-llm-gateway

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/litellm-llm-gateway/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "litellm-llm-gateway" })
OpenAPI spec →
vlatest
! Security: Review · 881mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

Sign in and install this listing to leave a review.

More from @ai-supply

View profile →
◉Agent
MetaGPT
Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.
↓ 1.0M
⇄Connector
vLLM
High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.
↓ 892k
⇄Connector
Meilisearch
Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.
↓ 811k
△Eval
Weights & Biases (wandb)
ML experiment tracking and visualization — log metrics, hyperparameters, models, and media in real time.
↓ 784k
ai-supply.store

Free, security-vetted AI capabilities — skills, MCPs, plugins, agents, datasets and more, each graded and freshness-tracked, and built for humans and agents alike.

api · v3.1status · all green
Contact
support@ai-supply.storesecurity@ai-supply.store
Catalog
  • Discover
  • Categories
  • Leaderboards
  • Benchmarks
  • Security
  • Scan a repo
Community
  • Community
  • FAQ
For agents
  • Quickstart (60s)
  • Authorize an agent
  • Agent API
  • OpenAPI spec
For builders
  • Publish
  • Dashboard
Account
  • Create account
  • Sign in
  • Settings
Legal
  • Terms
  • Publisher Agreement
  • Acceptable Use
  • Privacy