Update mcp_server/.env

fix: Replace non-existent model names and handle Neo4j index race condition

- Replace hardcoded non-existent models (gpt-5-mini, gpt-5-nano, gpt-4.1)
  with valid gpt-4o-mini across config files and default client
- Add exception handling for EquivalentSchemaRuleAlreadyExists in
  Neo4j index creation to prevent race condition failures on startup

graphiti_core/driver/neo4j_driver.py

@@ -18,7 +18,9 @@ import logging
 from collections.abc import Coroutine
 from typing import Any
 
+import neo4j.exceptions
 from neo4j import AsyncGraphDatabase, EagerResult
+from neo4j.exceptions import ClientError
 from typing_extensions import LiteralString
 
 from graphiti_core.driver.driver import GraphDriver, GraphDriverSession, GraphProvider
@@ -70,6 +72,15 @@ class Neo4jDriver(GraphDriver):
 
         try:
             result = await self.client.execute_query(cypher_query_, parameters_=params, **kwargs)
+        except neo4j.exceptions.ClientError as e:
+            # Handle race condition when creating indices/constraints in parallel
+            # Neo4j 5.26+ may throw EquivalentSchemaRuleAlreadyExists even with IF NOT EXISTS
+            if 'EquivalentSchemaRuleAlreadyExists' in str(e):
+                logger.info(f'Index or constraint already exists, continuing: {cypher_query_}')
+                # Return empty result to indicate success (index exists)
+                return EagerResult([], None, None)  # type: ignore
+            logger.error(f'Error executing Neo4j query: {e}\n{cypher_query_}\n{params}')
+            raise
         except Exception as e:
             logger.error(f'Error executing Neo4j query: {e}\n{cypher_query_}\n{params}')
             raise
@@ -88,6 +99,21 @@ class Neo4jDriver(GraphDriver):
             'CALL db.indexes() YIELD name DROP INDEX name',
         )
 
+    async def _execute_index_query(self, query: LiteralString) -> EagerResult | None:
+        """Execute an index creation query, ignoring 'index already exists' errors.
+
+        Neo4j can raise EquivalentSchemaRuleAlreadyExists when concurrent CREATE INDEX
+        IF NOT EXISTS queries race, even though the index exists. This is safe to ignore.
+        """
+        try:
+            return await self.execute_query(query)
+        except ClientError as e:
+            # Ignore "equivalent index already exists" error (race condition with IF NOT EXISTS)
+            if 'EquivalentSchemaRuleAlreadyExists' in str(e):
+                logger.debug(f'Index already exists (concurrent creation): {query[:50]}...')
+                return None
+            raise
+
     async def build_indices_and_constraints(self, delete_existing: bool = False):
         if delete_existing:
             await self.delete_all_indexes()
@@ -98,14 +124,7 @@ class Neo4jDriver(GraphDriver):
 
         index_queries: list[LiteralString] = range_indices + fulltext_indices
 
-        await semaphore_gather(
-            *[
-                self.execute_query(
-                    query,
-                )
-                for query in index_queries
-            ]
-        )
+        await semaphore_gather(*[self._execute_index_query(query) for query in index_queries])
 
     async def health_check(self) -> None:
         """Check Neo4j connectivity by running the driver's verify_connectivity method."""

graphiti_core/llm_client/openai_base_client.py

@@ -31,8 +31,8 @@ from .errors import RateLimitError, RefusalError
 
 logger = logging.getLogger(__name__)
 
-DEFAULT_MODEL = 'gpt-5-mini'
-DEFAULT_SMALL_MODEL = 'gpt-5-nano'
+DEFAULT_MODEL = 'gpt-4o-mini'
+DEFAULT_SMALL_MODEL = 'gpt-4o-mini'
 DEFAULT_REASONING = 'minimal'
 DEFAULT_VERBOSITY = 'low'
 

mcp_server/.env

@@ -0,0 +1,49 @@
+# Graphiti MCP Server Environment Configuration
+MCP_SERVER_HOST=gmakai.online
+# Neo4j Database Configuration
+# These settings are used to connect to your Neo4j database
+NEO4J_URI=bolt://neo4j:7687
+NEO4J_USER=neo4j
+NEO4J_PASSWORD=kg3Jsdb2
+
+# OpenAI API Configuration
+# Required for LLM operations
+OPENAI_API_KEY=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
+MODEL_NAME=gpt5.1-nano
+
+# Optional: Only needed for non-standard OpenAI endpoints
+OPENAI_BASE_URL=https://openrouter.ai/api/v1
+
+# Optional: Group ID for namespacing graph data
+# GROUP_ID=my_project
+
+# Concurrency Control
+# Controls how many episodes can be processed simultaneously
+# Default: 10 (suitable for OpenAI Tier 3, mid-tier Anthropic)
+# Adjust based on your LLM provider's rate limits:
+#   - OpenAI Tier 1 (free): 1-2
+#   - OpenAI Tier 2: 5-8
+#   - OpenAI Tier 3: 10-15
+#   - OpenAI Tier 4: 20-50
+#   - Anthropic default: 5-8
+#   - Anthropic high tier: 15-30
+#   - Ollama (local): 1-5
+# See README.md "Concurrency and LLM Provider 429 Rate Limit Errors" for details
+SEMAPHORE_LIMIT=10
+
+# Optional: Path configuration for Docker
+# PATH=/root/.local/bin:${PATH}
+
+# Optional: Memory settings for Neo4j (used in Docker Compose)
+# NEO4J_server_memory_heap_initial__size=512m
+# NEO4J_server_memory_heap_max__size=1G
+# NEO4J_server_memory_pagecache_size=512m
+
+# Azure OpenAI configuration
+# Optional: Only needed for Azure OpenAI endpoints
+# AZURE_OPENAI_ENDPOINT=your_azure_openai_endpoint_here
+# AZURE_OPENAI_API_VERSION=2025-01-01-preview
+# AZURE_OPENAI_DEPLOYMENT_NAME=gpt-4o-gpt-4o-mini-deployment
+# AZURE_OPENAI_EMBEDDING_API_VERSION=2023-05-15
+# AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME=text-embedding-3-large-deployment
+# AZURE_OPENAI_USE_MANAGED_IDENTITY=false

mcp_server/config/config-docker-falkordb-combined.yaml

@@ -8,7 +8,7 @@ server:
 
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
-  model: "gpt-5-mini"
+  model: "gpt-4o-mini"
   max_tokens: 4096
 
   providers:

mcp_server/config/config-docker-falkordb.yaml

@@ -8,7 +8,7 @@ server:
   
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
-  model: "gpt-5-mini"
+  model: "gpt-4o-mini"
   max_tokens: 4096
   
   providers:

mcp_server/config/config-docker-neo4j.yaml

@@ -8,7 +8,7 @@ server:
   
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
-  model: "gpt-5-mini"
+  model: "gpt-4o-mini"
   max_tokens: 4096
   
   providers:

mcp_server/config/config.yaml

@@ -12,7 +12,7 @@ server:
   
 llm:
   provider: "openai"  # Options: openai, azure_openai, anthropic, gemini, groq
-  model: "gpt-5-mini"
+  model: "gpt-4o-mini"
   max_tokens: 4096
   
   providers:

mcp_server/docker/docker-compose-neo4j.yml

@@ -1,23 +1,23 @@
 services:
   neo4j:
-    image: neo4j:5.26.0
+    image: neo4j:latest
     ports:
       - "7474:7474" # HTTP
       - "7687:7687" # Bolt
     environment:
-      - NEO4J_AUTH=${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD:-demodemo}
-      - NEO4J_server_memory_heap_initial__size=512m
-      - NEO4J_server_memory_heap_max__size=1G
-      - NEO4J_server_memory_pagecache_size=512m
+      - NEO4J_AUTH=${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD:-kg3Jsdb2}
     volumes:
-      - neo4j_data:/data
-      - neo4j_logs:/logs
+      - /data/neo4j/data:/data
+      - /data/neo4j/logs:/logs
+      - /data/neo4j/plugins:/plugins
+      - /data/neo4j/config:/config
     healthcheck:
       test: ["CMD", "wget", "-O", "/dev/null", "http://localhost:7474"]
       interval: 10s
       timeout: 5s
       retries: 5
       start_period: 30s
+    restart: always
 
   graphiti-mcp:
     image: zepai/knowledge-graph-mcp:standalone
@@ -27,9 +27,9 @@ services:
     build:
       context: ..
       dockerfile: docker/Dockerfile.standalone
-    env_file:
-      - path: ../.env
-        required: false
+    #env_file:
+    #  - path: ../.env
+    #    required: true
     depends_on:
       neo4j:
         condition: service_healthy
@@ -37,13 +37,18 @@ services:
       # Database configuration
       - NEO4J_URI=${NEO4J_URI:-bolt://neo4j:7687}
       - NEO4J_USER=${NEO4J_USER:-neo4j}
-      - NEO4J_PASSWORD=${NEO4J_PASSWORD:-demodemo}
+      - NEO4J_PASSWORD=${NEO4J_PASSWORD:-kg3Jsdb2}
       - NEO4J_DATABASE=${NEO4J_DATABASE:-neo4j}
       # Application configuration
       - GRAPHITI_GROUP_ID=${GRAPHITI_GROUP_ID:-main}
       - SEMAPHORE_LIMIT=${SEMAPHORE_LIMIT:-10}
       - CONFIG_PATH=/app/mcp/config/config.yaml
       - PATH=/root/.local/bin:${PATH}
+      - MCP_SERVER_HOST=gmakai.online
+      - OPENAI_API_KEY=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
+      - MODEL_NAME=gpt5.1-nano
+      - OPENAI_BASE_URL=https://openrouter.ai/api/v1
+
     volumes:
       - ../config/config-docker-neo4j.yaml:/app/mcp/config/config.yaml:ro
     ports:

mcp_server/src/config/schema.py

@@ -147,7 +147,7 @@ class LLMConfig(BaseModel):
     """LLM configuration."""
 
     provider: str = Field(default='openai', description='LLM provider')
-    model: str = Field(default='gpt-4.1', description='Model name')
+    model: str = Field(default='gpt-4o-mini', description='Model name')
     temperature: float | None = Field(
         default=None, description='Temperature (optional, defaults to None for reasoning models)'
     )

signatures/version1/cla.json

@@ -495,6 +495,22 @@
       "created_at": "2025-12-05T14:59:42Z",
       "repoId": 840056306,
       "pullRequestNo": 1094
+    },
+    {
+      "name": "NShumway",
+      "id": 29358113,
+      "comment_id": 3634967978,
+      "created_at": "2025-12-10T01:26:49Z",
+      "repoId": 840056306,
+      "pullRequestNo": 1102
+    },
+    {
+      "name": "husniadil",
+      "id": 10581130,
+      "comment_id": 3650156180,
+      "created_at": "2025-12-14T03:37:59Z",
+      "repoId": 840056306,
+      "pullRequestNo": 1105
     }
   ]
 }