prism-proxy 1.0.7

Multi-API Intelligent Router CLI — Claude Code-level capabilities with cost-optimizing routing across every AI provider

Prism Proxy

Multi-agent AI orchestrator that makes Claude Code smarter and cheaper. Multiple AI models collaborate, debate, and cross-review to produce output better than any single model.

What is Prism?

Prism is an Anthropic-compatible proxy that sits between Claude Code and your AI providers. Instead of one model answering alone, Prism orchestrates multiple models (GPT, Gemini, Groq, Mistral, Ollama) to work as a team -- researching, debating, reviewing each other's work, and delivering a consensus answer.

Claude Code (UI + tools)
       |
       v
Prism Proxy (localhost:8080)
       |
       | classifies task, orchestrates models
       v
+----------+  +----------+  +----------+  +----------+
| Gemini   |  | GPT-4o   |  | Groq     |  | Mistral  |
| researches|  | writes   |  | reviews  |  | validates|
+----------+  +----------+  +----------+  +----------+
       |           |              |             |
       +------+----+----+---------+-------------+
              |         |
         debate + cross-review
              |
       final consensus answer
              |
              v
       Claude Code executes
       (file edits, terminal, git)

Why?

• Better quality -- multiple models catch errors, debate approaches, and cross-review. Output is better than any single model alone.
• Lower cost -- simple tasks go to cheap/free models. Only complex tasks use premium models.
• Resilience -- if one provider is down, others pick up. No single point of failure.
• Full Claude Code experience -- you keep all of Claude Code's tools, UI, and agentic capabilities.

Quick Start

1. Install

# macOS
brew install python@3.12 node
python3.12 -m pip install --break-system-packages prism-proxy
npm install -g @anthropic-ai/claude-code

2. Add API keys (at least 2 for multi-agent)

prism auth add groq      # free: https://console.groq.com/keys
prism auth add google    # free: https://aistudio.google.com/apikey
prism auth add mistral   # free: https://console.mistral.ai/api-keys

3. Skip Claude Code login (first time only)

echo '{"hasCompletedOnboarding": true}' > ~/.claude.json

4. Start Prism (Terminal 1)

prism serve

5. Start Claude Code (Terminal 2)

ANTHROPIC_BASE_URL=http://localhost:8080 ANTHROPIC_AUTH_TOKEN=prism ANTHROPIC_API_KEY="" claude

Done. Claude Code now routes through Prism's multi-agent engine.

Multi-Agent Strategies

Prism uses 5 research-backed strategies, tried in order:

Strategy	What it does	When it's used
Confidence Cascade	Try cheap model first, escalate if confidence is low	Most requests
Mixture of Agents	Multiple models generate in parallel, best parts merged	Design, architecture
Debate	Models argue positions across rounds, synthesize consensus	Ambiguous questions
Swarm	Decompose into subtasks, assign to models, cross-review	Large multi-step tasks
Parallel Consensus	Run 2 models, pick the better answer	Fallback

Simple tasks (quick questions) skip multi-agent and use a single cheap model for speed.

Provider Setup

Add API keys with prism auth add <name>:

Provider	Free Tier	Best For
Groq	Yes	Ultra-fast inference (Llama 3)
Google	Yes	Long context (Gemini 2.5 Pro, 1M tokens)
Mistral	Yes	Code generation (Codestral)
DeepSeek	Yes	Code + reasoning (DeepSeek-V3, R1)
Ollama	Local/Free	Offline, privacy-sensitive tasks
OpenAI	No	GPT-4o, o1 reasoning
Anthropic	No	Claude Opus, Sonnet
OpenRouter	No	Access to 100+ models

The more providers you add, the better the multi-agent collaboration.

Configuration

# ~/.prism/config.yaml
multi_agent:
  enabled: true
  strategies: [cascade, moa, debate, swarm, consensus]
  debate_rounds: 2
  quality_threshold: 0.85
  budget_per_request: 0.50
  min_complexity: medium    # simple tasks skip multi-agent

budget:
  daily_limit: 5.0
  monthly_limit: 50.0

routing:
  quality_weight: 0.7

prism config get multi_agent.enabled
prism config set multi_agent.debate_rounds 3

How It Works

1. Claude Code sends a request to Prism (thinks it's talking to Anthropic)
2. Prism classifies the task complexity (simple/medium/complex)
3. Simple: single cheap model responds instantly
4. Medium/Complex: multi-agent pipeline runs:
   • Multiple models generate responses
   • Models review and critique each other's output
   • Disagreements are debated and resolved
   • Final consensus answer is returned
5. Claude Code receives the answer and executes tools (file edits, terminal, git)
6. User sees the collaboration process in the response

Cost Savings

Scenario	Claude Code alone	With Prism
Simple question	Opus ($15/M)	Gemini Flash ($0.075/M)
Code review	Opus ($15/M)	Groq + Mistral ($0)
Complex refactor	Opus ($15/M)	Multi-agent team (~$0.50)
Typical session	~$5-10	~$0.50-2.00

Status

prism status       # check provider health
prism auth status  # check API keys
prism --version    # check version

License

Apache 2.0