fix: update default Gemini model from deprecated gemini-2.5-flash-lite-preview-06-17 to gemini-2.5-flash-lite

- Updated DEFAULT_SMALL_MODEL in gemini_client.py
- Updated DEFAULT_MODEL in gemini_reranker_client.py
- Removed deprecated model from GEMINI_MODEL_MAX_TOKENS mapping
- Updated README.md examples and documentation
- Cleaned up test cases in test_gemini_client.py

Fixes #1075

Co-authored-by: Daniel Chalef <danielchalef@users.noreply.github.com>

.github/workflows/daily_issue_maintenance.yml

@@ -0,0 +1,123 @@
+name: Daily Issue Maintenance
+on:
+  schedule:
+    - cron: "0 0 * * *" # Every day at midnight
+  workflow_dispatch: # Manual trigger option
+
+jobs:
+  find-legacy-duplicates:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_dispatch'
+    permissions:
+      contents: read
+      issues: write
+      id-token: write
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          prompt: |
+            REPO: ${{ github.repository }}
+
+            Find potential duplicate issues in the repository:
+
+            1. Use `gh issue list --state open --limit 1000 --json number,title,body,createdAt` to get all open issues
+            2. For each issue, search for potential duplicates using `gh search issues` with keywords from the title and body
+            3. Compare issues to identify true duplicates using these criteria:
+               - Same bug or error being reported
+               - Same feature request (even if worded differently)
+               - Same question being asked
+               - Issues describing the same root problem
+
+            For each duplicate found:
+            - Add a comment linking to the original issue
+            - Apply the "duplicate" label using `gh issue edit`
+            - Be polite and explain why it's a duplicate
+
+            Focus on finding true duplicates, not just similar issues.
+
+          claude_args: |
+            --allowedTools "Bash(gh issue:*),Bash(gh search:*)"
+            --model claude-sonnet-4-5-20250929
+
+  check-stale-issues:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'schedule'
+    permissions:
+      contents: read
+      issues: write
+      id-token: write
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          prompt: |
+            REPO: ${{ github.repository }}
+
+            Review stale issues and request confirmation:
+
+            1. Use `gh issue list --state open --limit 1000 --json number,title,updatedAt,comments` to get all open issues
+            2. Identify issues that are:
+               - Older than 60 days (based on updatedAt)
+               - Have no comments with "stale-check" label
+               - Are not labeled as "enhancement" or "documentation"
+            3. For each stale issue:
+               - Add a polite comment asking the issue originator if this is still relevant
+               - Apply a "stale-check" label to track that we've asked
+               - Use format: "@{author} Is this still an issue? Please confirm within 14 days or this issue will be closed."
+
+            Use:
+            - `gh issue view` to check issue details and labels
+            - `gh issue comment` to add comments
+            - `gh issue edit` to add the "stale-check" label
+
+          claude_args: |
+            --allowedTools "Bash(gh issue:*)"
+            --model claude-sonnet-4-5-20250929
+
+  close-unconfirmed-issues:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'schedule'
+    needs: check-stale-issues
+    permissions:
+      contents: read
+      issues: write
+      id-token: write
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          prompt: |
+            REPO: ${{ github.repository }}
+
+            Close unconfirmed stale issues:
+
+            1. Use `gh issue list --state open --label "stale-check" --limit 1000 --json number,title,comments,updatedAt` to get issues with stale-check label
+            2. For each issue, check if:
+               - The "stale-check" comment was added 14+ days ago
+               - There has been no response from the issue author or activity since the comment
+            3. For issues meeting the criteria:
+               - Add a polite closing comment
+               - Close the issue using `gh issue close`
+               - Use format: "Closing due to inactivity. Feel free to reopen if this is still relevant."
+
+            Use:
+            - `gh issue view` to check issue comments and activity
+            - `gh issue comment` to add closing comment
+            - `gh issue close` to close the issue
+
+          claude_args: |
+            --allowedTools "Bash(gh issue:*)"
+            --model claude-sonnet-4-5-20250929

.github/workflows/issue-triage.yml

@@ -0,0 +1,141 @@
+name: Issue Triage and Deduplication
+on:
+  issues:
+    types: [opened]
+
+jobs:
+  triage:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    permissions:
+      contents: read
+      issues: write
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Run Claude Code for Issue Triage
+        uses: anthropics/claude-code-action@v1
+        with:
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          allowed_non_write_users: "*"
+          github_token: ${{ secrets.GITHUB_TOKEN }}
+          prompt: |
+            You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
+
+            IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels. DO NOT check for duplicates - that's handled by a separate job.
+
+            Issue Information:
+            - REPO: ${{ github.repository }}
+            - ISSUE_NUMBER: ${{ github.event.issue.number }}
+
+            TASK OVERVIEW:
+
+            1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
+
+            2. Next, use gh commands to get context about the issue:
+               - Use `gh issue view ${{ github.event.issue.number }}` to retrieve the current issue's details
+               - Use `gh search issues` to find similar issues that might provide context for proper categorization
+               - You have access to these Bash commands:
+                 - Bash(gh label list:*) - to get available labels
+                 - Bash(gh issue view:*) - to view issue details
+                 - Bash(gh issue edit:*) - to apply labels to the issue
+                 - Bash(gh search:*) - to search for similar issues
+
+            3. Analyze the issue content, considering:
+               - The issue title and description
+               - The type of issue (bug report, feature request, question, etc.)
+               - Technical areas mentioned
+               - Database mentions (neo4j, falkordb, neptune, etc.)
+               - LLM providers mentioned (openai, anthropic, gemini, groq, etc.)
+               - Components affected (embeddings, search, prompts, server, mcp, etc.)
+
+            4. Select appropriate labels from the available labels list:
+               - Choose labels that accurately reflect the issue's nature
+               - Be specific but comprehensive
+               - Add database-specific labels if mentioned: neo4j, falkordb, neptune
+               - Add component labels if applicable
+               - DO NOT add priority labels (P1, P2, P3)
+               - DO NOT add duplicate label - that's handled by the deduplication job
+
+            5. Apply the selected labels:
+               - Use `gh issue edit ${{ github.event.issue.number }} --add-label "label1,label2,label3"` to apply your selected labels
+               - DO NOT post any comments explaining your decision
+               - DO NOT communicate directly with users
+               - If no labels are clearly applicable, do not apply any labels
+
+            IMPORTANT GUIDELINES:
+            - Be thorough in your analysis
+            - Only select labels from the provided list
+            - DO NOT post any comments to the issue
+            - Your ONLY action should be to apply labels using gh issue edit
+            - It's okay to not add any labels if none are clearly applicable
+            - DO NOT check for duplicates
+
+          claude_args: |
+            --allowedTools "Bash(gh label list:*),Bash(gh issue view:*),Bash(gh issue edit:*),Bash(gh search:*)"
+            --model claude-sonnet-4-5-20250929
+
+  deduplicate:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    needs: triage
+    permissions:
+      contents: read
+      issues: write
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 1
+
+      - name: Check for duplicate issues
+        uses: anthropics/claude-code-action@v1
+        with:
+          allowed_non_write_users: "*"
+          prompt: |
+            Analyze this new issue and check if it's a duplicate of existing issues in the repository.
+
+            Issue: #${{ github.event.issue.number }}
+            Repository: ${{ github.repository }}
+
+            Your task:
+            1. Use mcp__github__get_issue to get details of the current issue (#${{ github.event.issue.number }})
+            2. Search for similar existing OPEN issues using mcp__github__search_issues with relevant keywords from the issue title and body
+            3. Compare the new issue with existing ones to identify potential duplicates
+
+            Criteria for duplicates:
+            - Same bug or error being reported
+            - Same feature request (even if worded differently)
+            - Same question being asked
+            - Issues describing the same root problem
+
+            If you find duplicates:
+            - Add a comment on the new issue linking to the original issue(s)
+            - Apply the "duplicate" label to the new issue
+            - Be polite and explain why it's a duplicate
+            - Suggest the user follow the original issue for updates
+
+            If it's NOT a duplicate:
+            - Don't add any comments
+            - Don't modify labels
+
+            Use these tools:
+            - mcp__github__get_issue: Get issue details
+            - mcp__github__search_issues: Search for similar issues (use state:open)
+            - mcp__github__list_issues: List recent issues if needed
+            - mcp__github__create_issue_comment: Add a comment if duplicate found
+            - mcp__github__update_issue: Add "duplicate" label
+
+            Be thorough but efficient. Focus on finding true duplicates, not just similar issues.
+
+          anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
+          claude_args: |
+            --allowedTools "mcp__github__get_issue,mcp__github__search_issues,mcp__github__list_issues,mcp__github__create_issue_comment,mcp__github__update_issue,mcp__github__get_issue_comments"
+            --model claude-sonnet-4-5-20250929

graphiti_core/driver/neo4j_driver.py

@@ -18,9 +18,7 @@ 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
@@ -72,15 +70,6 @@ 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
@@ -99,21 +88,6 @@ 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()
@@ -124,7 +98,14 @@ class Neo4jDriver(GraphDriver):
 
         index_queries: list[LiteralString] = range_indices + fulltext_indices
 
-        await semaphore_gather(*[self._execute_index_query(query) for query in index_queries])
+        await semaphore_gather(
+            *[
+                self.execute_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/client.py

@@ -48,11 +48,7 @@ def get_extraction_language_instruction(group_id: str | None = None) -> str:
     Returns:
         str: Language instruction to append to system messages
     """
-    return (
-        '\n\nAny extracted information should be returned in the same language as it was written in. '
-        'Only output non-English text when the user has written full sentences or phrases in that non-English language. '
-        'Otherwise, output English.'
-    )
+    return '\n\nAny extracted information should be returned in the same language as it was written in.'
 
 
 logger = logging.getLogger(__name__)

graphiti_core/llm_client/openai_base_client.py

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

graphiti_core/search/search_filters.py

@@ -41,16 +41,6 @@ class DateFilter(BaseModel):
     )
 
 
-class PropertyFilter(BaseModel):
-    property_name: str = Field(description='Property name')
-    property_value: str | int | float | None = Field(
-        description='Value you want to match on for the property'
-    )
-    comparison_operator: ComparisonOperator = Field(
-        description='Comparison operator for the property'
-    )
-
-
 class SearchFilters(BaseModel):
     node_labels: list[str] | None = Field(
         default=None, description='List of node labels to filter on'
@@ -63,7 +53,6 @@ class SearchFilters(BaseModel):
     created_at: list[list[DateFilter]] | None = Field(default=None)
     expired_at: list[list[DateFilter]] | None = Field(default=None)
     edge_uuids: list[str] | None = Field(default=None)
-    property_filters: list[PropertyFilter] | None = Field(default=None)
 
 
 def cypher_to_opensearch_operator(op: ComparisonOperator) -> str:

mcp_server/.env

@@ -1,49 +0,0 @@
-# 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-4o-mini"
+  model: "gpt-5-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-4o-mini"
+  model: "gpt-5-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-4o-mini"
+  model: "gpt-5-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-4o-mini"
+  model: "gpt-5-mini"
   max_tokens: 4096
   
   providers:

mcp_server/docker/docker-compose-neo4j.yml

@@ -1,23 +1,23 @@
 services:
   neo4j:
-    image: neo4j:latest
+    image: neo4j:5.26.0
     ports:
       - "7474:7474" # HTTP
       - "7687:7687" # Bolt
     environment:
-      - NEO4J_AUTH=${NEO4J_USER:-neo4j}/${NEO4J_PASSWORD:-kg3Jsdb2}
+      - 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
     volumes:
-      - /data/neo4j/data:/data
-      - /data/neo4j/logs:/logs
-      - /data/neo4j/plugins:/plugins
-      - /data/neo4j/config:/config
+      - neo4j_data:/data
+      - neo4j_logs:/logs
     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: true
+    env_file:
+      - path: ../.env
+        required: false
     depends_on:
       neo4j:
         condition: service_healthy
@@ -37,18 +37,13 @@ services:
       # Database configuration
       - NEO4J_URI=${NEO4J_URI:-bolt://neo4j:7687}
       - NEO4J_USER=${NEO4J_USER:-neo4j}
-      - NEO4J_PASSWORD=${NEO4J_PASSWORD:-kg3Jsdb2}
+      - NEO4J_PASSWORD=${NEO4J_PASSWORD:-demodemo}
       - 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-4o-mini', description='Model name')
+    model: str = Field(default='gpt-4.1', description='Model name')
     temperature: float | None = Field(
         default=None, description='Temperature (optional, defaults to None for reasoning models)'
     )

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "graphiti-core"
 description = "A temporal graph building library"
-version = "0.24.3"
+version = "0.24.1"
 authors = [
     { name = "Paul Paliychuk", email = "paul@getzep.com" },
     { name = "Preston Rasmussen", email = "preston@getzep.com" },

signatures/version1/cla.json

@@ -455,62 +455,6 @@
       "created_at": "2025-11-06T08:39:46Z",
       "repoId": 840056306,
       "pullRequestNo": 1053
-    },
-    {
-      "name": "supmo668",
-      "id": 28805779,
-      "comment_id": 3550309664,
-      "created_at": "2025-11-19T01:56:25Z",
-      "repoId": 840056306,
-      "pullRequestNo": 1072
-    },
-    {
-      "name": "donbr",
-      "id": 7340008,
-      "comment_id": 3568970102,
-      "created_at": "2025-11-24T05:19:42Z",
-      "repoId": 840056306,
-      "pullRequestNo": 1081
-    },
-    {
-      "name": "apetti1920",
-      "id": 4706645,
-      "comment_id": 3572726648,
-      "created_at": "2025-11-24T21:07:34Z",
-      "repoId": 840056306,
-      "pullRequestNo": 1084
-    },
-    {
-      "name": "ZLBillShaw",
-      "id": 55940186,
-      "comment_id": 3583997833,
-      "created_at": "2025-11-27T02:45:53Z",
-      "repoId": 840056306,
-      "pullRequestNo": 1085
-    },
-    {
-      "name": "ronaldmego",
-      "id": 17481958,
-      "comment_id": 3617267429,
-      "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
     }
   ]
 }

uv.lock

@@ -808,7 +808,7 @@ wheels = [
 
 [[package]]
 name = "graphiti-core"
-version = "0.24.3"
+version = "0.24.1"
 source = { editable = "." }
 dependencies = [
     { name = "diskcache" },