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mcp concurrency limit (#623)
* update graphiti dep * - Introduce SEMAPHORE_LIMIT environment variable in graphiti_mcp_server.py to manage concurrency and mitigate 429 rate limit errors. - Document SEMAPHORE_LIMIT usage in README.md for better user guidance. * Log the concurrency limit in Graphiti initialization for better visibility. * Document SEMAPHORE_LIMIT environment variable in README.md to clarify its role in managing episode processing concurrency and handling 429 rate limit errors.
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@ -84,6 +84,7 @@ The server uses the following environment variables:
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- `AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME`: Optional Azure OpenAI embedding deployment name
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- `AZURE_OPENAI_EMBEDDING_API_VERSION`: Optional Azure OpenAI API version
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- `AZURE_OPENAI_USE_MANAGED_IDENTITY`: Optional use Azure Managed Identities for authentication
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- `SEMAPHORE_LIMIT`: Episode processing concurrency. See [Concurrency and LLM Provider 429 Rate Limit Errors](#concurrency-and-llm-provider-429-rate-limit-errors)
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You can set these variables in a `.env` file in the project directory.
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@ -111,6 +112,13 @@ Available arguments:
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- `--destroy-graph`: If set, destroys all Graphiti graphs on startup.
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- `--use-custom-entities`: Enable entity extraction using the predefined ENTITY_TYPES
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### Concurrency and LLM Provider 429 Rate Limit Errors
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Graphiti's ingestion pipelines are designed for high concurrency, controlled by the `SEMAPHORE_LIMIT` environment variable.
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By default, `SEMAPHORE_LIMIT` is set to `10` concurrent operations to help prevent `429` rate limit errors from your LLM provider. If you encounter such errors, try lowering this value.
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If your LLM provider allows higher throughput, you can increase `SEMAPHORE_LIMIT` to boost episode ingestion performance.
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### Docker Deployment
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The Graphiti MCP server can be deployed using Docker. The Dockerfile uses `uv` for package management, ensuring
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@ -36,6 +36,7 @@ services:
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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- MODEL_NAME=${MODEL_NAME}
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- PATH=/root/.local/bin:${PATH}
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- SEMAPHORE_LIMIT=${SEMAPHORE_LIMIT}
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ports:
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- "8000:8000" # Expose the MCP server via HTTP for SSE transport
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command: ["uv", "run", "graphiti_mcp_server.py", "--transport", "sse"]
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@ -42,6 +42,11 @@ DEFAULT_LLM_MODEL = 'gpt-4.1-mini'
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SMALL_LLM_MODEL = 'gpt-4.1-nano'
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DEFAULT_EMBEDDER_MODEL = 'text-embedding-3-small'
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# Semaphore limit for concurrent Graphiti operations.
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# Decrease this if you're experiencing 429 rate limit errors from your LLM provider.
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# Increase if you have high rate limits.
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SEMAPHORE_LIMIT = int(os.getenv('SEMAPHORE_LIMIT', 10))
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class Requirement(BaseModel):
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"""A Requirement represents a specific need, feature, or functionality that a product or service must fulfill.
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@ -589,6 +594,7 @@ async def initialize_graphiti():
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password=config.neo4j.password,
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llm_client=llm_client,
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embedder=embedder_client,
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max_coroutines=SEMAPHORE_LIMIT,
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)
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# Destroy graph if requested
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@ -611,6 +617,7 @@ async def initialize_graphiti():
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logger.info(
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f'Custom entity extraction: {"enabled" if config.use_custom_entities else "disabled"}'
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)
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logger.info(f'Using concurrency limit: {SEMAPHORE_LIMIT}')
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except Exception as e:
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logger.error(f'Failed to initialize Graphiti: {str(e)}')
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@ -7,6 +7,7 @@ requires-python = ">=3.10,<4"
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dependencies = [
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"mcp>=1.5.0",
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"openai>=1.68.2",
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"graphiti-core>=0.11.6",
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"graphiti-core>=0.13.0",
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"azure-identity>=1.21.0",
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"graphiti-core",
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]
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181
mcp_server/uv.lock
generated
181
mcp_server/uv.lock
generated
@ -1,5 +1,5 @@
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version = 1
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requires-python = ">=3.10"
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requires-python = ">=3.10, <4"
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[[package]]
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name = "annotated-types"
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@ -57,11 +57,11 @@ wheels = [
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@ -205,49 +205,49 @@ wheels = [
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|
||||
markers = {main = "extra == \"falkord-db\" and python_full_version < \"3.11.3\"", dev = "python_version == \"3.10\""}
|
||||
|
||||
[[package]]
|
||||
name = "attrs"
|
||||
@ -759,7 +759,7 @@ description = "Backport of PEP 654 (exception groups)"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
groups = ["main", "dev"]
|
||||
markers = "python_version < \"3.11\""
|
||||
markers = "python_version == \"3.10\""
|
||||
files = [
|
||||
{file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
|
||||
{file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
|
||||
@ -2652,14 +2652,14 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "openai"
|
||||
version = "1.90.0"
|
||||
version = "1.91.0"
|
||||
description = "The official Python library for the openai API"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main", "dev"]
|
||||
files = [
|
||||
{file = "openai-1.90.0-py3-none-any.whl", hash = "sha256:e5dcb5498ea6b42fec47546d10f1bcc05fb854219a7d953a5ba766718b212a02"},
|
||||
{file = "openai-1.90.0.tar.gz", hash = "sha256:9771982cdd5b6631af68c6a603da72ed44cd2caf73b49f717a72b71374bc565b"},
|
||||
{file = "openai-1.91.0-py3-none-any.whl", hash = "sha256:207f87aa3bc49365e014fac2f7e291b99929f4fe126c4654143440e0ad446a5f"},
|
||||
{file = "openai-1.91.0.tar.gz", hash = "sha256:d6b07730d2f7c6745d0991997c16f85cddfc90ddcde8d569c862c30716b9fc90"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -3207,7 +3207,6 @@ optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["main", "dev"]
|
||||
files = [
|
||||
{file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"},
|
||||
{file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"},
|
||||
]
|
||||
|
||||
@ -4549,7 +4548,7 @@ description = "A lil' TOML parser"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
groups = ["dev"]
|
||||
markers = "python_version < \"3.11\""
|
||||
markers = "python_version == \"3.10\""
|
||||
files = [
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
|
||||
{file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
|
||||
@ -5408,4 +5407,4 @@ groq = ["groq"]
|
||||
[metadata]
|
||||
lock-version = "2.1"
|
||||
python-versions = ">=3.10,<4"
|
||||
content-hash = "8c982c7bf747277950a77f92e72e5dd02651e4ceada87a9f096b798d0088e5ac"
|
||||
content-hash = "174225be87b33ef6bd492cd7f399d6ac56e434ab22ce37b6a893cd8ceb5b6f3b"
|
||||
|
@ -15,7 +15,7 @@ dependencies = [
|
||||
"pydantic>=2.11.5",
|
||||
"neo4j>=5.26.0",
|
||||
"diskcache>=5.6.3",
|
||||
"openai>=1.53.0",
|
||||
"openai>=1.91.0",
|
||||
"tenacity>=9.0.0",
|
||||
"numpy>=1.0.0",
|
||||
"python-dotenv>=1.0.1",
|
||||
|
Loading…
x
Reference in New Issue
Block a user