deltallm logo
deltallm
★ 20
vs
llmtrim logo
llmtrim
★ 255

deltallm vs llmtrim

deltallm: DeltaLLM is a self-hosted AI gateway providing a single OpenAI-compatible API to over 100 LLM providers. It streamlines LLM integration with built-in enterprise features like routing, cost tracking, and security guardrails.; llmtrim: llmtrim is a local proxy that intelligently compresses LLM API requests by removing wasted tokens, significantly reducing billing costs without impacting the quality of the LLM's responses. It offers versatile deployment options, including a proxy, CLI, MCP server, or library for various programming languages.

01

TL;DR

deltallm logo
deltallmLLM Infra · ★ 20

Centralized LLM Access Management: Simplify API key management and developer integration for multiple LLM providers.

llmtrim logo
llmtrimLLM Infra · ★ 255

Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).

02

Side-by-Side Comparison

Field
deltallm logodeltallm
llmtrim logollmtrim
Category
LLM Infra
LLM Infra
Stars
★ 20
★ 255
License
MIT
AGPL-3.0
Install Command
MASTER_KEY=$(python3 -c 'import secrets; print("sk-" + secrets.token_hex(20) + "A1")') && SALT_KEY=$(python3 -c 'import secrets; print(secrets.token_hex(32))') && git clone https://github.com/deltawi/deltallm.git && cd deltallm && cp config.example.yaml config.yaml && echo "DELTALLM_MASTER_KEY=$MASTER_KEY" > .env && echo "DELTALLM_SALT_KEY=$SALT_KEY" >> .env && echo "OPENAI_API_KEY=sk-your-openai-key" >> .env && echo "[email protected]" >> .env && echo "PLATFORM_BOOTSTRAP_ADMIN_PASSWORD=ChangeMe123!" >> .env && docker compose --profile single up -d --build
npm install -g @llmtrim/cli@latest && llmtrim setup
Updated
1d ago
3d ago
Open Source
Yes
Yes
Tags
AI Gateway, LLM Management, OpenAI API Proxy
LLM Proxy, Token Compression, Cost Optimization
03

Features

deltallm logodeltallm
01Unified OpenAI-compatible API for 100+ LLM providers.
02Virtual API Keys with granular controls like budgets, rate limits, and model restrictions.
03Advanced routing and failover strategies with automatic retries.
04Built-in security guardrails including PII detection and prompt injection protection.
05Comprehensive spend tracking with cost attribution per key, team, and model.
llmtrim logollmtrim
01Transparent LLM API Request Compression via Local Proxy
02Intelligent Content Optimization for Various Data Types (logs, code, context, JSON)
03Guaranteed Answer Quality and Cost Savings with Automatic Reversion of Ineffective Compression
04Flexible Integration Options: CLI, Library (Python, Ruby, Swift, Kotlin), and MCP Server
04

Use Cases

deltallm logodeltallm
↳Centralized LLM Access Management: Simplify API key management and developer integration for multiple LLM providers.
↳Cost Control and Optimization: Implement budgets and track spending to optimize LLM usage costs across teams and models.
↳Enhanced Security and Compliance: Apply guardrails for PII detection and prompt injection protection in LLM interactions.
↳Multi-vendor LLM Strategy: Route requests across various LLM providers based on performance, cost, or availability to avoid vendor lock-in.
llmtrim logollmtrim
↳Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider).
↳Optimizing token usage in custom LLM applications and SDKs.
↳Compressing large context windows (e.g., pasted docs, conversation history) for RAG systems.
↳Shrinking verbose tool outputs like build logs, diffs, or large JSON arrays sent to LLMs.
FAQ

FAQ

What is the difference between deltallm and llmtrim?
Both deltallm and llmtrim are in the LLM Infra category. deltallm has 20 stars, while llmtrim has 255 stars.
Which is better, deltallm or llmtrim?
The best choice depends on your use case. Choose deltallm if Centralized LLM Access Management: Simplify API key management and developer integration for multiple LLM providers., and llmtrim if Reducing LLM API costs for AI agents (e.g., Claude Code, Cursor, Aider)..
Is deltallm free or open source?
Yes, deltallm is open source on GitHub (MIT).
Is llmtrim free or open source?
Yes, llmtrim is open source on GitHub (AGPL-3.0).
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