- Introduced CHUTES_API_TOKEN in .env.example files for configuration. - Updated README.md in quickstart example to include Chutes API setup. - Created quickstart_chutes.py example for demonstrating Chutes integration. - Added ChutesEmbedder and ChutesClient classes for embedding and LLM functionalities. - Updated LLM and embedder provider configurations to support Chutes. - Enhanced factories to include Chutes client and embedder. - Modified schema.py to define Chutes provider configuration. - Updated mcp_server configuration files to integrate Chutes API. - Added necessary dependencies in pyproject.toml for Chutes support.
52 lines
1.7 KiB
Text
52 lines
1.7 KiB
Text
# Graphiti MCP Server Environment Configuration
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# Neo4j Database Configuration
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# These settings are used to connect to your Neo4j database
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NEO4J_URI=neo4j+s://6a25b5ba.databases.neo4j.io
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NEO4J_USER=neo4j
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NEO4J_PASSWORD=YuU8ypE1yzjVbn5LPaNkLcotsLL4aAOILGIQtSG2KAY
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# OpenAI API Configuration
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# Required for LLM operations
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OPENAI_API_KEY=dummy-key
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MODEL_NAME=gpt-4.1-mini
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# Optional: Only needed for non-standard OpenAI endpoints
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# OPENAI_BASE_URL=https://api.openai.com/v1
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# Optional: Group ID for namespacing graph data
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# GROUP_ID=my_project
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# Concurrency Control
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# Controls how many episodes can be processed simultaneously
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# Default: 10 (suitable for OpenAI Tier 3, mid-tier Anthropic)
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# Adjust based on your LLM provider's rate limits:
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# - OpenAI Tier 1 (free): 1-2
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# - OpenAI Tier 2: 5-8
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# - OpenAI Tier 3: 10-15
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# - OpenAI Tier 4: 20-50
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# - Anthropic default: 5-8
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# - Anthropic high tier: 15-30
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# - Ollama (local): 1-5
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# See README.md "Concurrency and LLM Provider 429 Rate Limit Errors" for details
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SEMAPHORE_LIMIT=10
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# Optional: Path configuration for Docker
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# PATH=/root/.local/bin:${PATH}
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# Optional: Memory settings for Neo4j (used in Docker Compose)
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# NEO4J_server_memory_heap_initial__size=512m
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# NEO4J_server_memory_heap_max__size=1G
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# NEO4J_server_memory_pagecache_size=512m
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# Azure OpenAI configuration
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# Optional: Only needed for Azure OpenAI endpoints
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# AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
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# AZURE_OPENAI_API_VERSION=2025-01-01-preview
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# AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-gpt-4o-mini-deployment
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# AZURE_OPENAI_EMBEDDING_API_VERSION=2023-05-15
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# AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-large-deployment
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# AZURE_OPENAI_USE_MANAGED_IDENTITY=false
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# Chutes AI Configuration
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CHUTES_API_KEY=
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