Update changelog via LangGraph Changelog Bot

2026-08-28 10:49:56 +02:00 · 2025-07-09 12:50:49 -07:00
62 changed files with 3197 additions and 3453 deletions
@@ -74,7 +74,6 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
 - [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
@@ -3,7 +3,6 @@
 Lifecycle events: https://www.mkdocs.org/dev-guide/plugins/#events
 """

-import json
 import logging
 import os
 import posixpath
@@ -16,8 +15,8 @@ from mkdocs.structure.files import Files, File
 from mkdocs.structure.pages import Page

 from _scripts.generate_api_reference_links import update_markdown_with_imports
-from _scripts.link_map import JS_LINK_MAP
 from _scripts.notebook_convert import convert_notebook
+from _scripts.link_map import JS_LINK_MAP

 logger = logging.getLogger(__name__)
 logging.basicConfig()
@@ -101,6 +100,10 @@ REDIRECT_MAP = {
    "how-tos/create-react-agent-memory.ipynb": "agents/memory.md",
    "how-tos/create-react-agent-system-prompt.ipynb": "agents/context.md#prompts",
    "how-tos/create-react-agent-structured-output.ipynb": "agents/agents.md#structured-output",
+    # Time-travel
+    "how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.md",
+    # breakpoints
+    "how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "how-tos/human_in_the_loop/breakpoints.md",
    # misc
    "prebuilt.md": "agents/prebuilt.md",
    "reference/prebuilt.md": "reference/agents.md",
@@ -122,11 +125,6 @@ REDIRECT_MAP = {
    "how-tos/review-tool-calls-functional.ipynb": "how-tos/use-functional-api.md",
    "how-tos/create-react-agent-hitl.ipynb": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
    "agents/human-in-the-loop.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
-    "how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "how-tos/human_in_the_loop/breakpoints.md",
-    "concepts/breakpoints.md": "concepts/human_in_the_loop.md",
-    "how-tos/human_in_the_loop/breakpoints.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
-    "cloud/how-tos/human_in_the_loop_breakpoint.md": "cloud/how-tos/add-human-in-the-loop.md",
-    "how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.md",
 }


@@ -358,16 +356,12 @@ def _on_page_markdown_with_config(


 def on_page_markdown(markdown: str, page: Page, **kwargs: Dict[str, Any]):
-    finalized_markdown = (
-        _on_page_markdown_with_config(
-            markdown,
-            page,
-            add_api_references=True,
-            **kwargs,
-        )
+    return _on_page_markdown_with_config(
+        markdown,
+        page,
+        add_api_references=True,
+        **kwargs,
    )
-    page.meta["original_markdown"] = finalized_markdown
-    return finalized_markdown


 # redirects
@@ -437,51 +431,20 @@ height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>
    else:
        return html  # fallback if no <body> found

-def _inject_markdown_into_html(html: str, page: Page) -> str:
-    """Inject the original markdown content into the HTML page as JSON."""
-    original_markdown = page.meta.get("original_markdown", "")
-    if not original_markdown:
-        return html
-    markdown_data = {
-        "markdown": original_markdown,
-        "title": page.title or "Page Content",
-        "url": page.url or "",
-    }

-    # Properly escape the JSON for HTML
-    json_content = json.dumps(markdown_data, ensure_ascii=False)
-
-    json_content = (
-        json_content.replace("</", "\\u003c/")
-        .replace("<script", "\\u003cscript")
-        .replace("</script", "\\u003c/script")
-    )
-
-    script_content = (
-        f'<script id="page-markdown-content" '
-        f'type="application/json">{json_content}</script>'
-    )
-
-    # Insert before </head> if it exists, otherwise before </body>
-    if "</head>" not in html:
-        raise ValueError(
-            "HTML does not contain </head> tag. Cannot inject markdown content."
-        )
-    return html.replace("</head>", f"{script_content}</head>")
-
-def on_post_page(html: str, page: Page, config: MkDocsConfig) -> str:
+def on_post_page(output: str, page: Page, config: MkDocsConfig) -> str:
    """Inject Google Tag Manager noscript tag immediately after <body>.

    Args:
-        html: The HTML output of the page.
+        output: The HTML output of the page.
        page: The page instance.
        config: The MkDocs configuration object.

    Returns:
        modified HTML output with GTM code injected.
    """
-    html = _inject_markdown_into_html(html, page)
-    return _inject_gtm(html)
+    return _inject_gtm(output)
+

 # Create HTML files for redirects after site dir has been built
 def on_post_build(config):
@@ -15,7 +15,7 @@ To evaluate your agent's performance you can use `LangSmith` [evaluations](https
 def evaluator(*, outputs: dict, reference_outputs: dict):
    # compare agent outputs against reference outputs
    output_messages = outputs["messages"]
-    reference_messages = reference_outputs["messages"]
+    reference_messages = reference["messages"]
    score = compare_messages(output_messages, reference_messages)
    return {"key": "evaluator_score", "score": score}
 ```
@@ -7,7 +7,7 @@ LangGraph provides built-in support for [LLMs (language models)](https://python.

 Use [`init_chat_model`](https://python.langchain.com/docs/how_to/chat_models_universal_init/) to initialize models:

-{% include-markdown "../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 ### Instantiate a model directly

@@ -35,6 +35,7 @@ Before deploying, review the [conceptual guide for the Self-Hosted Data Plane](.
 1. Configure your `langgraph-dataplane-values.yaml` file.

        config:
+          langgraphPlatformLicenseKey: "" # Your LangGraph Platform license key
          langsmithApiKey: "" # API Key of your Workspace
          langsmithWorkspaceId: "" # Workspace ID
          hostBackendUrl: "https://api.host.langchain.com" # Only override this if on EU
@@ -2,7 +2,7 @@

 To review, edit, and approve tool calls in an agent or workflow, use LangGraph's [human-in-the-loop](../../concepts/human_in_the_loop.md) features.

-## Dynamic interrupts
+## LangGraph API invoke & resume

 === "Python"

@@ -305,185 +305,6 @@ To review, edit, and approve tool calls in an agent or workflow, use LangGraph's
        }"
        ```

-## Static interrupts
-
-Static interrupts (also known as static breakpoints) are triggered either before or after a node executes. 
-
-!!! warning
-
-    Static interrupts are **not** recommended for human-in-the-loop workflows. They are best used for debugging and testing.
-
-You can set static interrupts by specifying `interrupt_before` and `interrupt_after` at compile time:
-
-```python
-# highlight-next-line
-graph = graph_builder.compile( # (1)!
-    # highlight-next-line
-    interrupt_before=["node_a"], # (2)!
-    # highlight-next-line
-    interrupt_after=["node_b", "node_c"], # (3)!
-)
-```
-
-1. The breakpoints are set during `compile` time.
-2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
-3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
-
-Alternatively, you can set static interrupts at run time:
-
-=== "Python"
-
-    ```python
-    # highlight-next-line
-    await client.runs.wait( # (1)!
-        thread_id,
-        assistant_id,
-        inputs=inputs,
-        # highlight-next-line
-        interrupt_before=["node_a"], # (2)!
-        # highlight-next-line
-        interrupt_after=["node_b", "node_c"] # (3)!
-    )
-    ```
-
-    1. `client.runs.wait` is called with the `interrupt_before` and `interrupt_after` parameters. This is a run-time configuration and can be changed for every invocation.
-    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
-    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
-
-=== "JavaScript"
-
-    ```js
-    // highlight-next-line
-    await client.runs.wait( // (1)!
-        threadID,
-        assistantID,
-        {
-        input: input,
-        // highlight-next-line
-        interruptBefore: ["node_a"], // (2)!
-        // highlight-next-line
-        interruptAfter: ["node_b", "node_c"] // (3)!
-        }
-    )
-    ```
-
-    1. `client.runs.wait` is called with the `interruptBefore` and `interruptAfter` parameters. This is a run-time configuration and can be changed for every invocation.
-    2. `interruptBefore` specifies the nodes where execution should pause before the node is executed.
-    3. `interruptAfter` specifies the nodes where execution should pause after the node is executed.
-
-=== "cURL"
-
-    ```bash
-    curl --request POST \
-    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
-    --header 'Content-Type: application/json' \
-    --data "{
-        \"assistant_id\": \"agent\",
-        \"interrupt_before\": [\"node_a\"],
-        \"interrupt_after\": [\"node_b\", \"node_c\"],
-        \"input\": <INPUT>
-    }"
-    ```
-
-The following example shows how to add static interrupts:
-
-=== "Python"
-
-    ```python
-    from langgraph_sdk import get_client
-    client = get_client(url=<DEPLOYMENT_URL>)
-
-    # Using the graph deployed with the name "agent"
-    assistant_id = "agent"
-
-    # create a thread
-    thread = await client.threads.create()
-    thread_id = thread["thread_id"]
-
-    # Run the graph until the breakpoint
-    result = await client.runs.wait(
-        thread_id,
-        assistant_id,
-        input=inputs   # (1)!
-    )
-
-    # Resume the graph
-    await client.runs.wait(
-        thread_id,
-        assistant_id,
-        input=None   # (2)!
-    )
-    ```
-
-    1. The graph is run until the first breakpoint is hit.
-    2. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
-
-=== "JavaScript"
-
-    ```js
-    import { Client } from "@langchain/langgraph-sdk";
-    const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
-
-    // Using the graph deployed with the name "agent"
-    const assistantID = "agent";
-
-    // create a thread
-    const thread = await client.threads.create();
-    const threadID = thread["thread_id"];
-
-    // Run the graph until the breakpoint
-    const result = await client.runs.wait(
-      threadID,
-      assistantID,
-      { input: input }   // (1)!
-    );
-
-    // Resume the graph
-    await client.runs.wait(
-      threadID,
-      assistantID,
-      { input: null }   // (2)!
-    );
-    ```
-
-    1. The graph is run until the first breakpoint is hit.
-    2. The graph is resumed by passing in `null` for the input. This will run the graph until the next breakpoint is hit.
-
-=== "cURL"
-
-    Create a thread:
-
-    ```bash
-    curl --request POST \
-    --url <DEPLOYMENT_URL>/threads \
-    --header 'Content-Type: application/json' \
-    --data '{}'
-    ```
-
-    Run the graph until the breakpoint:
-
-    ```bash
-    curl --request POST \
-    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
-    --header 'Content-Type: application/json' \
-    --data "{
-      \"assistant_id\": \"agent\",
-      \"input\": <INPUT>
-    }"
-    ```
-
-    Resume the graph:
-
-    ```bash
-    curl --request POST \
-    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
-    --header 'Content-Type: application/json' \
-    --data "{
-      \"assistant_id\": \"agent\"
-    }"
-    ```
-
-
 ## Learn more

 - [Human-in-the-loop conceptual guide](../../concepts/human_in_the_loop.md): learn more about LangGraph human-in-the-loop features. 
@@ -0,0 +1,185 @@
+# Set breakpoints using Server API
+
+[Breakpoints](../../concepts/breakpoints.md) pause graph execution at defined points and let you step through each stage. They use LangGraph's [**persistence layer**](../../concepts/persistence.md), which saves the graph state after each step.
+
+With breakpoints, you can inspect the graph's state and node inputs at any point. Execution pauses indefinitely until you resume, as the checkpointer preserves the state.
+
+!!! tip
+
+    For conceptual information on breakpoints, see [Breakpoints](../../concepts/breakpoints.md).
+
+## Set static breakpoints
+
+Static breakpoints are triggered either before or after a node executes. You can set static breakpoints by specifying `interrupt_before` and `interrupt_after` at compile time or run time.
+
+=== "Compile time"
+
+    ```python
+    # highlight-next-line
+    graph = graph_builder.compile( # (1)!
+        # highlight-next-line
+        interrupt_before=["node_a"], # (2)!
+        # highlight-next-line
+        interrupt_after=["node_b", "node_c"], # (3)!
+    )
+    ```
+
+    1. The breakpoints are set during `compile` time.
+    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
+    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
+
+=== "Run time"
+
+    === "Python"
+
+        ```python
+        # highlight-next-line
+        await client.runs.wait( # (1)!
+            thread_id,
+            assistant_id,
+            inputs=inputs,
+            # highlight-next-line
+            interrupt_before=["node_a"], # (2)!
+            # highlight-next-line
+            interrupt_after=["node_b", "node_c"] # (3)!
+        )
+        ```
+
+        1. `client.runs.wait` is called with the `interrupt_before` and `interrupt_after` parameters. This is a run-time configuration and can be changed for every invocation.
+        2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
+        3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
+
+    === "JavaScript"
+
+        ```js
+        // highlight-next-line
+        await client.runs.wait( // (1)!
+          threadID,
+          assistantID,
+          {
+            input: input,
+            // highlight-next-line
+            interruptBefore: ["node_a"], // (2)!
+            // highlight-next-line
+            interruptAfter: ["node_b", "node_c"] // (3)!
+          }
+        )
+        ```
+
+        1. `client.runs.wait` is called with the `interruptBefore` and `interruptAfter` parameters. This is a run-time configuration and can be changed for every invocation.
+        2. `interruptBefore` specifies the nodes where execution should pause before the node is executed.
+        3. `interruptAfter` specifies the nodes where execution should pause after the node is executed.
+
+    === "cURL"
+
+        ```bash
+        curl --request POST \
+        --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
+        --header 'Content-Type: application/json' \
+        --data "{
+          \"assistant_id\": \"agent\",
+          \"interrupt_before\": [\"node_a\"],
+          \"interrupt_after\": [\"node_b\", \"node_c\"],
+          \"input\": <INPUT>
+        }"
+        ```
+
+## Example
+
+This example shows how to add **static** breakpoints. See [Use breakpoints](../../how-tos/human_in_the_loop/breakpoints.md) for more options on adding breakpoints.
+
+=== "Python"
+
+    ```python
+    from langgraph_sdk import get_client
+    client = get_client(url=<DEPLOYMENT_URL>)
+
+    # Using the graph deployed with the name "agent"
+    assistant_id = "agent"
+
+    # create a thread
+    thread = await client.threads.create()
+    thread_id = thread["thread_id"]
+
+    # Run the graph until the breakpoint
+    result = await client.runs.wait(
+        thread_id,
+        assistant_id,
+        input=inputs   # (1)!
+    )
+
+    # Resume the graph
+    await client.runs.wait(
+        thread_id,
+        assistant_id,
+        input=None   # (2)!
+    )
+    ```
+
+    1. The graph is run until the first breakpoint is hit.
+    2. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
+
+=== "JavaScript"
+
+    ```js
+    import { Client } from "@langchain/langgraph-sdk";
+    const client = new Client({ apiUrl: <DEPLOYMENT_URL> });
+
+    // Using the graph deployed with the name "agent"
+    const assistantID = "agent";
+
+    // create a thread
+    const thread = await client.threads.create();
+    const threadID = thread["thread_id"];
+
+    // Run the graph until the breakpoint
+    const result = await client.runs.wait(
+      threadID,
+      assistantID,
+      { input: input }   // (1)!
+    );
+
+    // Resume the graph
+    await client.runs.wait(
+      threadID,
+      assistantID,
+      { input: null }   // (2)!
+    );
+    ```
+
+    1. The graph is run until the first breakpoint is hit.
+    2. The graph is resumed by passing in `null` for the input. This will run the graph until the next breakpoint is hit.
+
+=== "cURL"
+
+    Create a thread:
+
+    ```bash
+    curl --request POST \
+    --url <DEPLOYMENT_URL>/threads \
+    --header 'Content-Type: application/json' \
+    --data '{}'
+    ```
+
+    Run the graph until the breakpoint:
+
+    ```bash
+    curl --request POST \
+    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
+    --header 'Content-Type: application/json' \
+    --data "{
+      \"assistant_id\": \"agent\",
+      \"input\": <INPUT>
+    }"
+    ```
+
+    Resume the graph:
+
+    ```bash
+    curl --request POST \
+    --url <DEPLOYMENT_URL>/threads/<THREAD_ID>/runs/wait \
+    --header 'Content-Type: application/json' \
+    --data "{
+      \"assistant_id\": \"agent\"
+    }"
+    ```
@@ -29,7 +29,7 @@ Click the dropdown next to "Submit" and click the toggle to enable/disable strea
 To run your graph with breakpoints, click the "Interrupt" button. Select a node and whether to pause before and/or after that node has executed. Click "Continue" in the thread log to resume execution.


-For more information on breakpoints see [here](../../concepts/human_in_the_loop.md).
+For more information on breakpoints see [here](../../concepts/breakpoints.md).

 ### Submit run

@@ -409,8 +409,6 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
    | Option                       | Default                   | Description                                                                                                             |
    | ---------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
    | `--wait`                     |                           | Wait for services to start before returning. Implies --detach                                                           |
-| `--base-image TEXT`          | `langchain/langgraph-api`  | Base image to use for the LangGraph API server. Pin to specific versions using version tags.                            |
-| `--image TEXT`               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly.           |
    | `--postgres-uri TEXT`        | Local database            | Postgres URI to use for the database.                                                                                   |
    | `--watch`                    |                           | Restart on file changes                                                                                                 |
    | `--debugger-base-url TEXT`   | `http://127.0.0.1:[PORT]` | URL used by the debugger to access LangGraph API.                                                                       |
@@ -438,8 +436,6 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
    | Option                                                                 | Default                   | Description                                                                                                             |
    | ---------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
    | <span style="white-space: nowrap;">`--wait`</span>                     |                           | Wait for services to start before returning. Implies --detach                                                           |
-| <span style="white-space: nowrap;">`--base-image TEXT`</span>          | <span style="white-space: nowrap;">`langchain/langgraph-api`</span> | Base image to use for the LangGraph API server. Pin to specific versions using version tags. |
-| <span style="white-space: nowrap;">`--image TEXT`</span>               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. |
    | <span style="white-space: nowrap;">`--postgres-uri TEXT`</span>        | Local database            | Postgres URI to use for the database.                                                                                   |
    | <span style="white-space: nowrap;">`--watch`</span>                    |                           | Restart on file changes                                                                                                 |
    | <span style="white-space: nowrap;">`-c, --config FILE`</span>          | `langgraph.json`          | Path to configuration file declaring dependencies, graphs and environment variables.                                    |
@@ -4,69 +4,54 @@

 ---

-## v0.2.88 (2025-07-14)
- Removed the foreign key constraint for `thread` in the `run` table to simplify database schema.
-
-## v0.2.87 (2025-07-14)
- Added more detailed logs for Redis worker signaling to improve debugging.
-
-## v0.2.86 (2025-07-11)
- Honored tool descriptions in the `/mcp` endpoint to align with expected functionality.
-
-## v0.2.85 (2025-07-10)
- Added support for the `on_disconnect` field to `runs/wait` and included disconnect logs for better debugging.
-
-## v0.2.84 (2025-07-09)
- Removed unnecessary status updates to streamline thread handling and updated version to 0.2.84.
-
-## v0.2.83 (2025-07-09)
+v0.2.83, 2025-07-09
 - Reduced the default time-to-live for resumable streams to 2 minutes.
- Enhanced data submission logic to send data to both Beacon and LangSmith instance based on license configuration.
+- Enabled data submission to LangSmith and Beacon endpoints based on deployment mode and license configuration.
 - Enabled submission of self-hosted data to a Langsmith instance when the endpoint is configured.

-## v0.2.82 (2025-07-03)
- Addressed a race condition in background runs by implementing a lock using join, ensuring reliable execution across CTEs.
+v0.2.82, 2025-07-03
+- Resolved a race condition in Runs.next by implementing join to lock runs, ensuring reliable execution across concurrent processes.

-## v0.2.81 (2025-07-03)
- Optimized run streams by reducing initial wait time to improve responsiveness for older or non-existent runs.
+v0.2.81, 2025-07-03
+- Ensured successful deployment by retaining an /ok endpoint even when disable_meta=True.
+- Improved stream start times by reducing initial wait time and optimizing run status checks.

-## v0.2.80 (2025-07-03)
- Corrected parameter passing in the `logger.ainfo()` API call to resolve a TypeError.
+v0.2.80, 2025-07-03
+- Resolved a TypeError in the `logger.ainfo()` API call by correcting the parameter passing method.

-## v0.2.79 (2025-07-02)
- Fixed a JsonDecodeError in checkpointing with remote graph by correcting JSON serialization to handle trailing slashes properly.
- Introduced a configuration flag to disable webhooks globally across all routes.
+v0.2.79, 2025-07-02
+- Resolved a JsonDecodeError during checkpointing with remote graphs caused by invalid JSON.
+- Added a configuration flag to globally disable webhooks across all routes.

-## v0.2.78 (2025-07-02)
- Added timeout retries to webhook calls to improve reliability.
- Added HTTP request metrics, including a request count and latency histogram, for enhanced monitoring capabilities.
+v0.2.78, 2025-07-02
+- Added retry mechanism for webhook calls that experience timeouts.
+- Added new HTTP metrics to track requests per second and latency.

-## v0.2.77 (2025-07-02)
- Added HTTP metrics to improve performance monitoring.
- Changed the Redis cache delimiter to reduce conflicts with subgraph message names and updated caching behavior.
+v0.2.77, 2025-07-02
+- Added HTTP metrics for improved performance monitoring.
+- Updated the Redis cache delimiter to reduce conflicts with subgraph messages.

-## v0.2.76 (2025-07-01)
- Updated Redis cache delimiter to prevent conflicts with subgraph messages.
+v0.2.76, 2025-07-01
+- Updated the redis cache delimiter to prevent conflicts with subgraph messages.

-## v0.2.74 (2025-06-30)
- Scheduled webhooks in an isolated loop to ensure thread-safe operations and prevent errors with PYTHONASYNCIODEBUG=1.
+v0.2.74, 2025-06-30
+- Ensured thread-safe scheduling of webhooks by using a queue for event handling.

-## v0.2.73 (2025-06-27)
- Fixed an infinite frame loop issue and removed the dict_parser due to structlog's unexpected behavior.
- Throw a 409 error on deadlock occurrence during run cancellations to handle lock conflicts gracefully.
+v0.2.73, 2025-06-27
+- Resolved an infinite loop issue and removed the dict_parser for better logging stability.
+- Implemented a 409 error response when encountering a deadlock during the cancellation process.

-## v0.2.72 (2025-06-27)
- Ensured compatibility with future langgraph versions.
- Implemented a 409 response status to handle deadlock issues during cancellation.
+v0.2.72, 2025-06-27
+- Added a response to return a 409 error code on deadlock situations during cancellation.

-## v0.2.71 (2025-06-26)
- Improved logging for better clarity and detail regarding log types.
+v0.2.71, 2025-06-26
+- Resolved an issue with the logging type configuration.

-## v0.2.70 (2025-06-26)
- Improved error handling to better distinguish and log TimeoutErrors caused by users from internal run timeouts.
+v0.2.70, 2025-06-26
+- Improved error handling for TimeoutErrors to better distinguish between system and user-generated issues.

-## v0.2.69 (2025-06-26)
- Added sorting and pagination to the crons API and updated schema definitions for improved accuracy.
+v0.2.69, 2025-06-26
+- Added sorting and pagination to the crons API and updated schema definitions for accuracy.

 ## v0.2.66 (2025-06-26)
 - Fixed a 404 error when creating multiple runs with the same thread_id using `on_not_exist="create"`.
@@ -0,0 +1,18 @@
+---
+search:
+  boost: 2
+---
+
+# Breakpoints
+
+[Breakpoints](../how-tos/human_in_the_loop/breakpoints.md) pause graph execution at defined points and let you step through each stage. They use LangGraph's [**persistence layer**](./persistence.md), which saves the graph state after each step.
+
+With breakpoints, you can inspect the graph's state and node inputs at any point. Execution pauses **indefinitely** until you resume, as the checkpointer preserves the state.
+
+<figure markdown="1">
+![image](img/breakpoints.png){: style="max-height:400px"}
+<figcaption>An example graph consisting of 3 sequential steps with a breakpoint before step_3. </figcaption> </figure>
+
+!!! tip
+
+    For information on how to use breakpoints, see [Set breakpoints](../how-tos/human_in_the_loop/breakpoints.md) and [Set breakpoints using Server API](../cloud/how-tos/human_in_the_loop_breakpoint.md).
@@ -23,18 +23,9 @@ To review, edit, and approve tool calls in an agent or workflow, [use LangGraph'

 ## Key capabilities

-* **Persistent execution state**: Interrupts use LangGraph's [persistence](../../concepts/persistence.md) layer, which saves the graph state, to indefinitely pause graph execution until you resume. This is possible because LangGraph checkpoints the graph state after each step, which allows the system to persist execution context and later resume the workflow, continuing from where it left off. This supports asynchronous human review or input without time constraints.
+* **Persistent execution state**: LangGraph allows you to pause execution **indefinitely** — for minutes, hours, or even days—until human input is received. This is possible because LangGraph checkpoints the graph state after each step, which allows the system to persist execution context and later resume the workflow, continuing from where it left off. This supports asynchronous human review or input without time constraints.

-    There are two ways to pause a graph:
-
-    - [Dynamic interrupts](../how-tos/human_in_the_loop/add-human-in-the-loop.md#pause-using-interrupt): Use `interrupt` to pause a graph from inside a specific node, based on the current state of the graph.
-    - [Static interrupts](../how-tos/human_in_the_loop/add-human-in-the-loop.md#debug-with-interrupts): Use `interrupt_before` and `interrupt_after` to pause the graph at defined points, either before or after a node executes.
-
-    <figure markdown="1">
-    ![image](./img/breakpoints.png){: style="max-height:400px"}
-    <figcaption>An example graph consisting of 3 sequential steps with a breakpoint before step_3. </figcaption> </figure>
-
-* **Flexible integration points**: Human-in-the-loop logic can be introduced at any point in the workflow. This allows targeted human involvement, such as approving API calls, correcting outputs, or guiding conversations.
+* **Flexible integration points**: HIL logic can be introduced at any point in the workflow. This allows targeted human involvement, such as approving API calls, correcting outputs, or guiding conversations.

 ## Patterns

@@ -298,7 +298,7 @@ print(graph.invoke({"x": 5}, stream_mode='updates'))  # (2)!
 [{'expensive_node': {'result': 10}, '__metadata__': {'cached': True}}]
 ```

-1. First run takes two seconds to run (due to mocked expensive computation).
+1. First run takes the full second to run (due to mocked expensive computation).
 2. Second run utilizes cache and returns quickly.

 ## Edges
@@ -33,7 +33,7 @@ The state of a thread at a particular point in time is called a checkpoint. Chec
 - `metadata`: Metadata associated with this checkpoint.
 - `values`: Values of the state channels at this point in time.
 - `next` A tuple of the node names to execute next in the graph.
- `tasks`: A tuple of `PregelTask` objects that contain information about next tasks to be executed. If the step was previously attempted, it will include error information. If a graph was interrupted [dynamically](../how-tos/human_in_the_loop/add-human-in-the-loop.md#pause-using-interrupt) from within a node, tasks will contain additional data associated with interrupts.
+- `tasks`: A tuple of `PregelTask` objects that contain information about next tasks to be executed. If the step was previously attempted, it will include error information. If a graph was interrupted [dynamically](../how-tos/human_in_the_loop/breakpoints.md#dynamic-breakpoints) from within a node, tasks will contain additional data associated with interrupts.

 Checkpoints are persisted and can be used to restore the state of a thread at a later time.

@@ -525,7 +525,7 @@ When running on LangGraph Platform, encryption is automatically enabled whenever

 ### Human-in-the-loop

-First, checkpointers facilitate [human-in-the-loop workflows](agentic_concepts.md#human-in-the-loop) workflows by allowing humans to inspect, interrupt, and approve graph steps. Checkpointers are needed for these workflows as the human has to be able to view the state of a graph at any point in time, and the graph has to be to resume execution after the human has made any updates to the state. See [the how-to guides](../how-tos/human_in_the_loop/add-human-in-the-loop.md) for examples.
+First, checkpointers facilitate [human-in-the-loop workflows](agentic_concepts.md#human-in-the-loop) workflows by allowing humans to inspect, interrupt, and approve graph steps. Checkpointers are needed for these workflows as the human has to be able to view the state of a graph at any point in time, and the graph has to be to resume execution after the human has made any updates to the state. See [these how-to guides](../how-tos/human_in_the_loop/breakpoints.md) for concrete examples.

 ### Memory

@@ -19,7 +19,8 @@ These capabilities are available in both LangGraph OSS and the LangGraph Platfor
 - [Context](../agents/context.md): Pass outside data to a LangGraph graph to provide context for the graph execution.
 - [Models](../agents/models.md): Integrate various LLMs into your LangGraph application.
 - [Tools](../concepts/tools.md): Interface directly with external systems.
- [Human-in-the-loop](../concepts/human_in_the_loop.md): Pause a graph and wait for human input at any point in a workflow.
+- [Human-in-the-loop](../concepts/human_in_the_loop.md): Enable human intervention at any point in a workflow.
+- [Breakpoints](../concepts/breakpoints.md): Pause the execution of a LangGraph graph at a specific point.
 - [Time travel](../concepts/time-travel.md): Travel back in time to a specific point in the execution of a LangGraph graph.
 - [Subgraphs](../concepts/subgraphs.md): Build modular graphs.
 - [Multi-agent](../concepts/multi_agent.md): Break down a complex workflow into multiple agents.
@@ -30,11 +31,11 @@ These capabilities are available in both LangGraph OSS and the LangGraph Platfor

 These capabilities are only available in [LangGraph Platform](../concepts/langgraph_platform.md).

- [Authentication and access control](../concepts/auth.md): Authenticate and authorize users to access a LangGraph graph.
+- [Authentication and access control](../concepts/auth.md): Authenticate and authorize users to access a Langraph graph.
 - [Assistants](../concepts/assistants.md): Build assistants that can be used to interact with a LangGraph graph.
 - [Double-texting](../concepts/double_texting.md): Handle double-texting (consecutive messages before a first response is returned) in a LangGraph graph.
 - [Webhooks](../cloud/concepts/webhooks.md): Send webhooks to a LangGraph graph.
 - [Cron jobs](../cloud/concepts/cron_jobs.md): Schedule jobs to run at a specific time.
 - [Server customization](../how-tos/http/custom_lifespan.md): Customize the server that runs a LangGraph graph.
 - [Data management](../cloud/concepts/data_storage_and_privacy.md): Manage data in a LangGraph graph.
- [Deployment](../concepts/deployment_options.md): Deploy a LangGraph graph to a server.
+- [Deployment](../concepts/deployment_options.md): Deploy a LangGraph graph to a server.
@@ -31,12 +31,12 @@ To leverage custom authentication and access user-level metadata in your deploym
        api_key = headers.get("x-api-key")
        if not api_key or not is_valid_key(api_key):
            raise Auth.exceptions.HTTPException(status_code=401, detail="Invalid API key")
-
-        # Fetch user-specific tokens from your secret store
+        
+        # Fetch user-specific tokens from your secret store  
        user_tokens = await fetch_user_tokens(api_key)

        return { # (2)!
-            "identity": api_key,  #  fetch user ID from LangSmith
+            "identity": api_key,  #  fetch user ID from LangSmith 
            "github_token" : user_tokens.github_token
            "jira_token" : user_tokens.jira_token
            # ... custom fields/secrets here
@@ -50,14 +50,14 @@ To leverage custom authentication and access user-level metadata in your deploym

    ```json hl_lines="7-9"
    {
-      "dependencies": ["."],
-      "graphs": {
+    "dependencies": ["."],
+    "graphs": {
        "agent": "./agent.py:graph"
-      },
-      "env": ".env",
-      "auth": {
+    },
+    "env": ".env",
+    "auth": {
        "path": "./auth.py:my_auth"
-      }
+    }
    }
    ```

@@ -80,7 +80,7 @@ To leverage custom authentication and access user-level metadata in your deploym

        ```python
        from langgraph.pregel.remote import RemoteGraph
-
+        
        my_token = "your-token" # In practice, you would generate a signed token with your auth provider
        remote_graph = RemoteGraph(
            "agent",
@@ -133,44 +133,15 @@ To allow an agent to perform authenticated actions on behalf of the user, access
 def my_node(state, config):
    user_config = config["configurable"].get("langgraph_auth_user")
    # token was resolved during the @auth.authenticate function
-    token = user_config.get("github_token","")
+    token = user_config.get("github_token","") 
    ...
 ```

 !!! note
    Fetch user credentials from a secure secret store. Storing secrets in graph state is not recommended.

-### Authorizing a Studio user
-
-By default, if you add custom authorization on your resources, this will also apply to interactions made from the Studio. If you want, you can handle logged-in Studio users differently by checking [is_studio_user()](../../reference/functions/sdk_auth.isStudioUser.html).
-
-!!! note
-    `is_studio_user` was added in version 0.1.73 of the langgraph-sdk. If you're on an older version, you can still check whether `isinstance(ctx.user, StudioUser)`.
-
-```python
-from langgraph_sdk.auth import is_studio_user, Auth
-auth = Auth()
-
-# ... Setup authenticate, etc.
-
-@auth.on
-async def add_owner(
-    ctx: Auth.types.AuthContext,
-    value: dict  # The payload being sent to this access method
-) -> dict:  # Returns a filter dict that restricts access to resources
-    if is_studio_user(ctx.user):
-        return {}
-
-    filters = {"owner": ctx.user.identity}
-    metadata = value.setdefault("metadata", {})
-    metadata.update(filters)
-    return filters
-```
-
-Only use this if you want to permit developer access to a graph deployed on the managed LangGraph Platform SaaS.
-
 ## Learn more

- [Authentication & Access Control](../../concepts/auth.md)
- [LangGraph Platform](../../concepts/langgraph_platform.md)
- [Setting up custom authentication tutorial](../../tutorials/auth/getting_started.md)
+* [Authentication & Access Control](../../concepts/auth.md)
+* [LangGraph Platform](../../concepts/langgraph_platform.md)
+* [Setting up custom authentication tutorial](../../tutorials/auth/getting_started.md)
@@ -1149,8 +1149,7 @@ Adding "C" to ['A']
 LangGraph supports map-reduce and other advanced branching patterns using the Send API. Here is an example of how to use it:

 ```python
-from langgraph.graph import StateGraph, START, END
-from langgraph.types import Send
+from langgraph.graph import StateGraph, START, END, Send
 from typing_extensions import TypedDict

 class OverallState(TypedDict):
@@ -1194,7 +1193,7 @@ from IPython.display import Image, display
 display(Image(graph.get_graph().draw_mermaid_png()))
 ```

-![Map-reduce graph with fanout](assets/graph_api_image_6.png)
+![Map-reduce graph with fanout](assets/graph_api_image_2.png)

 ```python
 # Call the graph: here we call it to generate a list of jokes
@@ -1446,7 +1445,7 @@ Recursion Error
    display(Image(graph.get_graph().draw_mermaid_png()))
    ```

-    ![Complex loop graph with branches](assets/graph_api_image_8.png)
+    ![Complex loop graph with branches](assets/graph_api_image_4.png)

    This graph looks complex, but can be conceptualized as loop of [supersteps](../concepts/low_level.md#graphs):

@@ -1508,7 +1507,7 @@ Because many LangChain objects implement the [Runnable Protocol](https://python.

 See example below. To demonstrate async invocations of underlying LLMs, we will include a chat model:

-{% include-markdown "../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 ```python
 from langchain.chat_models import init_chat_model
@@ -11,19 +11,11 @@ hide:

 # Enable human intervention

-To review, edit, and approve tool calls in an agent or workflow, use interrupts to pause a graph and wait for human input. Interrupts use LangGraph's [persistence](../../concepts/persistence.md) layer, which saves the graph state, to indefinitely pause graph execution until you resume.
-
-!!! info
-
-    For more information about human-in-the-loop workflows, see the [Human-in-the-Loop](../../concepts/human_in_the_loop.md) conceptual guide.
+To review, edit, and approve tool calls in an agent or workflow, use LangGraph's [human-in-the-loop](../../concepts/human_in_the_loop.md) features.

 ## Pause using `interrupt`

-[Dynamic interrupts](../../concepts/human_in_the_loop.md#key-capabilities) (also known as dynamic breakpoints) are triggered based on the current state of the graph. You can set dynamic interrupts by calling [`interrupt` function][langgraph.types.interrupt] in the appropriate place. The graph will pause, which allows for human intervention, and then resumes the graph with their input. It's useful for tasks like approvals, edits, or gathering additional context.
-
-!!! note
-
-    As of v1.0, `interrupt` is the recommended way to pause a graph. `NodeInterrupt` is deprecated and will be removed in v2.0.
+The [`interrupt` function][langgraph.types.interrupt] in LangGraph enables human-in-the-loop workflows by pausing the graph at a specific node, presenting information to a human, and resuming the graph with their input. It's useful for tasks like approvals, edits, or gathering additional context.

 To use `interrupt` in your graph, you need to:

@@ -146,10 +138,15 @@ print(graph.invoke(Command(resume="Edited text"), config=config)) # (7)!

 !!! warning

-      Interrupts resemble Python's input() function in terms of developer experience, but they do not automatically resume execution from the interruption point. Instead, they rerun the entire node where the interrupt was used. For this reason, interrupts are typically best placed at the start of a node or in a dedicated node.
+      Interrupts are both powerful and ergonomic. However, while they may resemble Python's input() function in terms of developer experience, it's important to note that they do not automatically resume execution from the interruption point. Instead, they rerun the entire node where the interrupt was used. For this reason, interrupts are typically best placed at the start of a node or in a dedicated node.
+

 ## Resume using the `Command` primitive

+!!! warning
+
+    Resuming from an `interrupt` is different from Python's `input()` function, where execution resumes from the exact point where the `input()` function was called.
+
 When the `interrupt` function is used within a graph, execution pauses at that point and awaits user input.

 To resume execution, use the [`Command`][langgraph.types.Command] primitive, which can be supplied via the `invoke`, `ainvoke`, `stream`, or `astream` methods. The graph resumes execution from the beginning of the node where `interrupt(...)` was initially called. This time, the `interrupt` function will return the value provided in `Command(resume=value)` rather than pausing again. All code from the beginning of the node to the `interrupt` will be re-executed.
@@ -715,162 +712,6 @@ def human_node(state: State):
    print(final_result)  # Should include the valid age
    ```

-## Debug with interrupts
-
-To debug and test a graph, use [static interrupts](../../concepts/human_in_the_loop.md#key-capabilities) (also known as static breakpoints) to step through the graph execution one node at a time or to pause the graph execution at specific nodes. Static interrupts are triggered at defined points either before or after a node executes. You can set static interrupts by specifying `interrupt_before` and `interrupt_after` at compile time or run time.
-
-!!! warning
-
-    Static interrupts are **not** recommended for human-in-the-loop workflows. Use [dynamic interrupts](#pause-using-interrupt) instead.
-
-=== "Compile time"
-
-    ```python
-    # highlight-next-line
-    graph = graph_builder.compile( # (1)!
-        # highlight-next-line
-        interrupt_before=["node_a"], # (2)!
-        # highlight-next-line
-        interrupt_after=["node_b", "node_c"], # (3)!
-        checkpointer=checkpointer, # (4)!
-    )
-
-    config = {
-        "configurable": {
-            "thread_id": "some_thread"
-        }
-    }
-
-    # Run the graph until the breakpoint
-    graph.invoke(inputs, config=thread_config) # (5)!
-
-    # Resume the graph
-    graph.invoke(None, config=thread_config) # (6)!
-    ```
-
-    1. The breakpoints are set during `compile` time.
-    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
-    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
-    4. A checkpointer is required to enable breakpoints.
-    5. The graph is run until the first breakpoint is hit.
-    6. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
-
-=== "Run time"
-
-    ```python
-    # highlight-next-line
-    graph.invoke( # (1)!
-        inputs, 
-        # highlight-next-line
-        interrupt_before=["node_a"], # (2)!
-        # highlight-next-line
-        interrupt_after=["node_b", "node_c"] # (3)!
-        config={
-            "configurable": {"thread_id": "some_thread"}
-        }, 
-    )
-
-    config = {
-        "configurable": {
-            "thread_id": "some_thread"
-        }
-    }
-
-    # Run the graph until the breakpoint
-    graph.invoke(inputs, config=config) # (4)!
-
-    # Resume the graph
-    graph.invoke(None, config=config) # (5)!
-    ```
-
-    1. `graph.invoke` is called with the `interrupt_before` and `interrupt_after` parameters. This is a run-time configuration and can be changed for every invocation.
-    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
-    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
-    4. The graph is run until the first breakpoint is hit.
-    5. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
-
-    !!! note
-
-        You cannot set static breakpoints at runtime for **sub-graphs**.
-        If you have a sub-graph, you must set the breakpoints at compilation time.
-
-??? example "Setting static breakpoints"
-
-    ```python
-    from IPython.display import Image, display
-    from typing_extensions import TypedDict
-    
-    from langgraph.checkpoint.memory import InMemorySaver 
-    from langgraph.graph import StateGraph, START, END
-    
-    
-    class State(TypedDict):
-        input: str
-    
-    
-    def step_1(state):
-        print("---Step 1---")
-        pass
-    
-    
-    def step_2(state):
-        print("---Step 2---")
-        pass
-    
-    
-    def step_3(state):
-        print("---Step 3---")
-        pass
-    
-    
-    builder = StateGraph(State)
-    builder.add_node("step_1", step_1)
-    builder.add_node("step_2", step_2)
-    builder.add_node("step_3", step_3)
-    builder.add_edge(START, "step_1")
-    builder.add_edge("step_1", "step_2")
-    builder.add_edge("step_2", "step_3")
-    builder.add_edge("step_3", END)
-    
-    # Set up a checkpointer 
-    checkpointer = InMemorySaver() # (1)!
-    
-    graph = builder.compile(
-        checkpointer=checkpointer, # (2)!
-        interrupt_before=["step_3"] # (3)!
-    )
-    
-    # View
-    display(Image(graph.get_graph().draw_mermaid_png()))
-    
-    
-    # Input
-    initial_input = {"input": "hello world"}
-    
-    # Thread
-    thread = {"configurable": {"thread_id": "1"}}
-    
-    # Run the graph until the first interruption
-    for event in graph.stream(initial_input, thread, stream_mode="values"):
-        print(event)
-        
-    # This will run until the breakpoint
-    # You can get the state of the graph at this point
-    print(graph.get_state(config))
-    
-    # You can continue the graph execution by passing in `None` for the input
-    for event in graph.stream(None, thread, stream_mode="values"):
-        print(event)
-    ```
-
-### Use static interrupts in LangGraph Studio
-
-You can use [LangGraph Studio](../../concepts/langgraph_studio.md) to debug your graph. You can set static breakpoints in the UI and then run the graph. You can also use the UI to inspect the graph state at any point in the execution.
-
-![image](../../concepts/img/human_in_the_loop/static-interrupt.png){: style="max-height:400px"}
-
-LangGraph Studio is free with [locally deployed applications](../../tutorials/langgraph-platform/local-server.md) using `langgraph dev`. 
-
 ## Considerations

 When using human-in-the-loop, there are some considerations to keep in mind.
@@ -1112,3 +953,4 @@ To avoid issues, refrain from dynamically changing the node's structure between
    Name: N/A. Age: John
    {'human_node': {'age': 'John', 'name': 'N/A'}}
    ```
+
@@ -0,0 +1,342 @@
+# Set breakpoints
+
+There are two places where you can set breakpoints:
+
+1. **Before** or **after** a node executes by setting breakpoints at **compile time** or **run time**. We call these [**static breakpoints**](#static-breakpoints).
+2. **Inside** a node using the `NodeInterrupt` exception. We call these [**dynamic breakpoints**](#dynamic-breakpoints).
+
+To use breakpoints, you will need to:
+
+1. [**Specify a checkpointer**](../../concepts/persistence.md#checkpoints) to save the graph state after each step.
+2. **Set breakpoints** to specify where execution should pause.
+3. **Run the graph** with a [**thread ID**](../../concepts/persistence.md#threads) to pause execution at the breakpoint.
+4. **Resume execution** using `invoke`/`ainvoke`/`stream`/`astream` passing a `None` as the argument for the inputs.
+
+!!! tip
+
+    For a conceptual overview of breakpoints, see [Breakpoints](../../concepts/breakpoints.md).
+
+## Static breakpoints
+
+Static breakpoints are triggered either before or after a node executes. You can set static breakpoints by specifying `interrupt_before` and `interrupt_after` at compile time or run time.
+
+Static breakpoints can be especially useful for debugging if you want to step through the graph execution one
+node at a time or if you want to pause the graph execution at specific nodes.
+
+=== "Compile time"
+
+    ```python
+    # highlight-next-line
+    graph = graph_builder.compile( # (1)!
+        # highlight-next-line
+        interrupt_before=["node_a"], # (2)!
+        # highlight-next-line
+        interrupt_after=["node_b", "node_c"], # (3)!
+        checkpointer=checkpointer, # (4)!
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "some_thread"
+        }
+    }
+
+    # Run the graph until the breakpoint
+    graph.invoke(inputs, config=thread_config) # (5)!
+
+    # Resume the graph
+    graph.invoke(None, config=thread_config) # (6)!
+    ```
+
+    1. The breakpoints are set during `compile` time.
+    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
+    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
+    4. A checkpointer is required to enable breakpoints.
+    5. The graph is run until the first breakpoint is hit.
+    6. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
+
+=== "Run time"
+
+    ```python
+    # highlight-next-line
+    graph.invoke( # (1)!
+        inputs, 
+        # highlight-next-line
+        interrupt_before=["node_a"], # (2)!
+        # highlight-next-line
+        interrupt_after=["node_b", "node_c"] # (3)!
+        config={
+            "configurable": {"thread_id": "some_thread"}
+        }, 
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "some_thread"
+        }
+    }
+
+    # Run the graph until the breakpoint
+    graph.invoke(inputs, config=config) # (4)!
+
+    # Resume the graph
+    graph.invoke(None, config=config) # (5)!
+    ```
+
+    1. `graph.invoke` is called with the `interrupt_before` and `interrupt_after` parameters. This is a run-time configuration and can be changed for every invocation.
+    2. `interrupt_before` specifies the nodes where execution should pause before the node is executed.
+    3. `interrupt_after` specifies the nodes where execution should pause after the node is executed.
+    4. The graph is run until the first breakpoint is hit.
+    5. The graph is resumed by passing in `None` for the input. This will run the graph until the next breakpoint is hit.
+
+    !!! note
+
+        You cannot set static breakpoints at runtime for **sub-graphs**.
+        If you have a sub-graph, you must set the breakpoints at compilation time.
+
+??? example "Setting static breakpoints"
+
+    ```python
+    from IPython.display import Image, display
+    from typing_extensions import TypedDict
+    
+    from langgraph.checkpoint.memory import InMemorySaver 
+    from langgraph.graph import StateGraph, START, END
+    
+    
+    class State(TypedDict):
+        input: str
+    
+    
+    def step_1(state):
+        print("---Step 1---")
+        pass
+    
+    
+    def step_2(state):
+        print("---Step 2---")
+        pass
+    
+    
+    def step_3(state):
+        print("---Step 3---")
+        pass
+    
+    
+    builder = StateGraph(State)
+    builder.add_node("step_1", step_1)
+    builder.add_node("step_2", step_2)
+    builder.add_node("step_3", step_3)
+    builder.add_edge(START, "step_1")
+    builder.add_edge("step_1", "step_2")
+    builder.add_edge("step_2", "step_3")
+    builder.add_edge("step_3", END)
+    
+    # Set up a checkpointer 
+    checkpointer = InMemorySaver() # (1)!
+    
+    graph = builder.compile(
+        checkpointer=checkpointer, # (2)!
+        interrupt_before=["step_3"] # (3)!
+    )
+    
+    # View
+    display(Image(graph.get_graph().draw_mermaid_png()))
+    
+    
+    # Input
+    initial_input = {"input": "hello world"}
+    
+    # Thread
+    thread = {"configurable": {"thread_id": "1"}}
+    
+    # Run the graph until the first interruption
+    for event in graph.stream(initial_input, thread, stream_mode="values"):
+        print(event)
+        
+    # This will run until the breakpoint
+    # You can get the state of the graph at this point
+    print(graph.get_state(config))
+    
+    # You can continue the graph execution by passing in `None` for the input
+    for event in graph.stream(None, thread, stream_mode="values"):
+        print(event)
+    ```
+
+## Dynamic breakpoints
+
+Use dynamic breakpoints if you need to interrupt the graph from inside a given node based on a condition.
+
+```python
+from langgraph.errors import NodeInterrupt
+
+def step_2(state: State) -> State:
+    # highlight-next-line
+    if len(state["input"]) > 5:
+        # highlight-next-line
+        raise NodeInterrupt( # (1)!
+            f"Received input that is longer than 5 characters: {state['foo']}"
+        )
+    return state
+```
+
+1. raise NodeInterrupt exception based on a some condition. In this example, we create a dynamic breakpoint if the length of the attribute `input` is longer than 5 characters.
+
+<details class="example"><summary>Using dynamic breakpoints</summary>
+
+```python
+from typing_extensions import TypedDict
+from IPython.display import Image, display
+
+from langgraph.graph import StateGraph, START, END
+from langgraph.checkpoint.memory import MemorySaver
+from langgraph.errors import NodeInterrupt
+
+
+class State(TypedDict):
+    input: str
+
+
+def step_1(state: State) -> State:
+    print("---Step 1---")
+    return state
+
+
+def step_2(state: State) -> State:
+    # Let's optionally raise a NodeInterrupt
+    # if the length of the input is longer than 5 characters
+    if len(state["input"]) > 5:
+        raise NodeInterrupt(
+            f"Received input that is longer than 5 characters: {state['input']}"
+        )
+    print("---Step 2---")
+    return state
+
+
+def step_3(state: State) -> State:
+    print("---Step 3---")
+    return state
+
+
+builder = StateGraph(State)
+builder.add_node("step_1", step_1)
+builder.add_node("step_2", step_2)
+builder.add_node("step_3", step_3)
+builder.add_edge(START, "step_1")
+builder.add_edge("step_1", "step_2")
+builder.add_edge("step_2", "step_3")
+builder.add_edge("step_3", END)
+
+# Set up memory
+memory = MemorySaver()
+
+# Compile the graph with memory
+graph = builder.compile(checkpointer=memory)
+
+# View
+display(Image(graph.get_graph().draw_mermaid_png()))
+```
+
+First, let's run the graph with an input that <= 5 characters long. This should safely ignore the interrupt condition we defined and return the original input at the end of the graph execution.
+
+```python
+initial_input = {"input": "hello"}
+thread_config = {"configurable": {"thread_id": "1"}}
+
+for event in graph.stream(initial_input, thread_config, stream_mode="values"):
+    print(event)
+```
+
+If we inspect the graph at this point, we can see that there are no more tasks left to run and that the graph indeed finished execution.
+
+```python
+state = graph.get_state(thread_config)
+print(state.next)
+print(state.tasks)
+```
+
+Now, let's run the graph with an input that's longer than 5 characters. This should trigger the dynamic interrupt we defined via raising a `NodeInterrupt` error inside the `step_2` node.
+
+```python
+initial_input = {"input": "hello world"}
+thread_config = {"configurable": {"thread_id": "2"}}
+
+# Run the graph until the first interruption
+for event in graph.stream(initial_input, thread_config, stream_mode="values"):
+    print(event)
+```
+
+We can see that the graph now stopped while executing `step_2`. If we inspect the graph state at this point, we can see the information on what node is set to execute next (`step_2`), as well as what node raised the interrupt (also `step_2`), and additional information about the interrupt.
+
+```python
+state = graph.get_state(thread_config)
+print(state.next)
+print(state.tasks)
+```
+
+If we try to resume the graph from the breakpoint, we will simply interrupt again as our inputs & graph state haven't changed.
+
+```python
+# NOTE: to resume the graph from a dynamic interrupt we use the same syntax as with regular interrupts -- we pass None as the input
+for event in graph.stream(None, thread_config, stream_mode="values"):
+    print(event)
+```
+
+```python
+state = graph.get_state(thread_config)
+print(state.next)
+print(state.tasks)
+```
+
+</details>
+
+## Use with subgraphs
+
+To add breakpoints to subgraph either:
+
+* Define [static breakpoints](#static-breakpoints) by specifying them when **compiling** the subgraph.
+* Define [dynamic breakpoints](#dynamic-breakpoints).
+
+<details class="example"><summary>Add breakpoints to subgraphs</summary>
+
+```python
+from typing_extensions import TypedDict
+
+from langgraph.graph import START, StateGraph
+from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.types import interrupt
+
+
+class State(TypedDict):
+    foo: str
+
+
+def subgraph_node_1(state: State):
+    return {"foo": state["foo"]}
+
+
+subgraph_builder = StateGraph(State)
+subgraph_builder.add_node(subgraph_node_1)
+subgraph_builder.add_edge(START, "subgraph_node_1")
+
+subgraph = subgraph_builder.compile(interrupt_before=["subgraph_node_1"])
+
+builder = StateGraph(State)
+builder.add_node("node_1", subgraph)  # directly include subgraph as a node
+builder.add_edge(START, "node_1")
+
+checkpointer = InMemorySaver()
+graph = builder.compile(checkpointer=checkpointer)
+
+config = {"configurable": {"thread_id": "1"}}
+
+graph.invoke({"foo": ""}, config)
+
+# Fetch state including subgraph state.
+print(graph.get_state(config, subgraphs=True).tasks[0].state)
+
+# resume the subgraph
+graph.invoke(None, config)
+```
+
+</details> 
@@ -4,7 +4,7 @@ To use [time-travel](../../concepts/time-travel.md) in LangGraph:

 1. [Run the graph](#1-run-the-graph) with initial inputs using [`invoke`][langgraph.graph.state.CompiledStateGraph.invoke] or [`stream`][langgraph.graph.state.CompiledStateGraph.stream] methods.
 2. [Identify a checkpoint in an existing thread](#2-identify-a-checkpoint): Use the [`get_state_history()`][langgraph.graph.state.CompiledStateGraph.get_state_history] method to retrieve the execution history for a specific `thread_id` and locate the desired `checkpoint_id`.  
-   Alternatively, set an [interrupt](../../how-tos/human_in_the_loop/add-human-in-the-loop.md) before the node(s) where you want execution to pause. You can then find the most recent checkpoint recorded up to that interrupt.
+   Alternatively, set a [breakpoint](../../concepts/breakpoints.md) before the node(s) where you want execution to pause. You can then find the most recent checkpoint recorded up to that breakpoint.
 3. [Update the graph state (optional)](#3-update-the-state-optional): Use the [`update_state`][langgraph.graph.state.CompiledStateGraph.update_state] method to modify the graph's state at the checkpoint and resume execution from alternative state.
 4. [Resume execution from the checkpoint](#4-resume-execution-from-the-checkpoint): Use the `invoke` or `stream` methods with an input of `None` and a configuration containing the appropriate `thread_id` and `checkpoint_id`.

@@ -125,7 +125,7 @@
    "memories = store.search((\"user_123\", \"memories\"), query=\"I like food?\", limit=5)\n",
    "\n",
    "for memory in memories:\n",
-    "    print(f\"Memory: {memory.value['text']} (similarity: {memory.score})\")"
+    "    print(f'Memory: {memory.value[\"text\"]} (similarity: {memory.score})')"
   ]
  },
  {
@@ -28,4 +28,4 @@ title: LangGraph
 }
 </style>

-{% include-markdown "../../README.md" %}
+{!../README.md!}
@@ -1,87 +0,0 @@
-=== "OpenAI"
-
-    ```shell
-    pip install -U "langchain[openai]"
-    ```
-    ```python
-    import os
-    from langchain.chat_models import init_chat_model
-
-    os.environ["OPENAI_API_KEY"] = "sk-..."
-
-    llm = init_chat_model("openai:gpt-4.1")
-    ```
-
-    👉 Read the [OpenAI integration docs](https://python.langchain.com/docs/integrations/chat/openai/)
-
-=== "Anthropic"
-
-    ```shell
-    pip install -U "langchain[anthropic]"
-    ```
-    ```python
-    import os
-    from langchain.chat_models import init_chat_model
-
-    os.environ["ANTHROPIC_API_KEY"] = "sk-..."
-
-    llm = init_chat_model("anthropic:claude-3-5-sonnet-latest")
-    ```
-
-    👉 Read the [Anthropic integration docs](https://python.langchain.com/docs/integrations/chat/anthropic/)
-
-=== "Azure"
-
-    ```shell
-    pip install -U "langchain[openai]"
-    ```
-    ```python
-    import os
-    from langchain.chat_models import init_chat_model
-
-    os.environ["AZURE_OPENAI_API_KEY"] = "..."
-    os.environ["AZURE_OPENAI_ENDPOINT"] = "..."
-    os.environ["OPENAI_API_VERSION"] = "2025-03-01-preview"
-
-    llm = init_chat_model(
-        "azure_openai:gpt-4.1",
-        azure_deployment=os.environ["AZURE_OPENAI_DEPLOYMENT_NAME"],
-    )
-    ```
- 
-    👉 Read the [Azure integration docs](https://python.langchain.com/docs/integrations/chat/azure_chat_openai/)
-
-=== "Google Gemini"
-
-    ```shell
-    pip install -U "langchain[google-genai]"
-    ```
-    ```python
-    import os
-    from langchain.chat_models import init_chat_model
-
-    os.environ["GOOGLE_API_KEY"] = "..."
-
-    llm = init_chat_model("google_genai:gemini-2.0-flash")
-    ```
-
-    👉 Read the [Google GenAI integration docs](https://python.langchain.com/docs/integrations/chat/google_generative_ai/)
-
-=== "AWS Bedrock"
-
-    ```shell
-    pip install -U "langchain[aws]"
-    ```
-    ```python
-    from langchain.chat_models import init_chat_model
-
-    # Follow the steps here to configure your credentials:
-    # https://docs.aws.amazon.com/bedrock/latest/userguide/getting-started.html
-
-    llm = init_chat_model(
-        "anthropic.claude-3-5-sonnet-20240620-v1:0",
-        model_provider="bedrock_converse",
-    )
-    ```
-
-    👉 Read the [AWS Bedrock integration docs](https://python.langchain.com/docs/integrations/chat/bedrock/)
@@ -63,7 +63,7 @@ Next, add a "`chatbot`" node. **Nodes** represent units of work and are typicall

 Let's first select a chat model:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -73,7 +73,7 @@ For the `StateGraph` you created in the [first tutorial](./1-build-basic-chatbot

 Let's first select our LLM:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -286,7 +286,7 @@ For ease of use, adjust your code to replace the following with LangGraph prebui
 - `BasicToolNode` is replaced with the prebuilt [ToolNode](https://langchain-ai.github.io/langgraph/reference/prebuilt/#toolnode)
 - `route_tools` is replaced with the prebuilt [tools_condition](https://langchain-ai.github.io/langgraph/reference/prebuilt/#tools_condition)

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}


 ```python hl_lines="25 30"
@@ -154,7 +154,7 @@ The snapshot above contains the current state values, corresponding config, and
  
 Check out the code snippet below to review the graph from this tutorial:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -14,7 +14,7 @@ Starting with the existing code from the [Add memory to the chatbot](./3-add-mem

 Let's first select a chat model:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -221,7 +221,7 @@ The input has been received and processed as a tool message. Review this call's

 Check out the code snippet below to review the graph from this tutorial:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 ```python
 from typing import Annotated
@@ -221,7 +221,7 @@ Manual state updates will [generate a trace](https://smith.langchain.com/public/

 Check out the code snippet below to review the graph from this tutorial:

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -14,7 +14,7 @@ You can create these types of experiences using LangGraph's built-in **time trav

 Rewind your graph by fetching a checkpoint using the graph's `get_state_history` method. You can then resume execution at this previous point in time.

-{% include-markdown "../../../snippets/chat_model_tabs.md" %}
+{!snippets/chat_model_tabs.md!}

 <!---
 ```python
@@ -540,11 +540,11 @@
     "name": "stdout",
     "output_type": "stream",
     "text": [
-      "================================\u001b[1m System Message \u001b[0m================================\n",
+      "================================\u001B[1m System Message \u001B[0m================================\n",
      "\n",
-      "Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m types:\n",
-      "\u001b[33;1m\u001b[1;3m{tool_descriptions}\u001b[0m\n",
-      "\u001b[33;1m\u001b[1;3m{num_tools}\u001b[0m. join(): Collects and combines results from prior actions.\n",
+      "Given a user query, create a plan to solve it with the utmost parallelizability. Each plan should comprise an action from the following \u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m types:\n",
+      "\u001B[33;1m\u001B[1;3m{tool_descriptions}\u001B[0m\n",
+      "\u001B[33;1m\u001B[1;3m{num_tools}\u001B[0m. join(): Collects and combines results from prior actions.\n",
      "\n",
      " - An LLM agent is called upon invoking join() to either finalize the user query or wait until the plans are executed.\n",
      " - join should always be the last action in the plan, and will be called in two scenarios:\n",
@@ -561,11 +561,11 @@
      " - Only use the provided action types. If a query cannot be addressed using these, invoke the join action for the next steps.\n",
      " - Never introduce new actions other than the ones provided.\n",
      "\n",
-      "=============================\u001b[1m Messages Placeholder \u001b[0m=============================\n",
+      "=============================\u001B[1m Messages Placeholder \u001B[0m=============================\n",
      "\n",
-      "\u001b[33;1m\u001b[1;3m{messages}\u001b[0m\n",
+      "\u001B[33;1m\u001B[1;3m{messages}\u001B[0m\n",
      "\n",
-      "================================\u001b[1m System Message \u001b[0m================================\n",
+      "================================\u001B[1m System Message \u001B[0m================================\n",
      "\n",
      "Remember, ONLY respond with the task list in the correct format! E.g.:\n",
      "idx. tool(arg_name=args)\n",
@@ -605,7 +605,7 @@
    "    llm: BaseChatModel, tools: Sequence[BaseTool], base_prompt: ChatPromptTemplate\n",
    "):\n",
    "    tool_descriptions = \"\\n\".join(\n",
-    "        f\"{i + 1}. {tool.description}\\n\"\n",
+    "        f\"{i+1}. {tool.description}\\n\"\n",
    "        for i, tool in enumerate(\n",
    "            tools\n",
    "        )  # +1 to offset the 0 starting index, we want it count normally from 1.\n",
@@ -378,7 +378,7 @@
    "\n",
    "async def execute_step(state: PlanExecute):\n",
    "    plan = state[\"plan\"]\n",
-    "    plan_str = \"\\n\".join(f\"{i + 1}. {step}\" for i, step in enumerate(plan))\n",
+    "    plan_str = \"\\n\".join(f\"{i+1}. {step}\" for i, step in enumerate(plan))\n",
    "    task = plan[0]\n",
    "    task_formatted = f\"\"\"For the following plan:\n",
    "{plan_str}\\n\\nYou are tasked with executing step {1}, {task}.\"\"\"\n",
@@ -1,465 +0,0 @@
-# Tech support bot with custom workflows
-
-In this tutorial, you'll build a sophisticated tech support bot using LangGraph that demonstrates how to create custom workflows with conditional routing, loops, and human escalation. This bot will guide users through a structured support process, automatically routing them based on their responses and issue type.
-
-!!! note "About escalation in this tutorial"
-
-    This tutorial demonstrates **workflow-based escalation** where the bot completes its workflow and indicates that human support is needed. This is different from LangGraph's **human-in-the-loop** functionality (using `interrupt`) which pauses execution and waits for human input. For human-in-the-loop examples, see the [human-in-the-loop tutorial](../get-started/4-human-in-the-loop.md).
-
-## What you'll learn
-
-By the end of this tutorial, you'll understand how to:
-
- Create **conditional routing** that adapts based on user responses
- Implement **loops** for iterative troubleshooting
- Handle **human escalation** at multiple decision points
- Use **state management** to track complex multi-step conversations
- Build a complete customer service workflow
-
-## Prerequisites
-
-Before you start this tutorial, ensure you have access to a LLM that supports tool-calling features, such as [OpenAI](https://platform.openai.com/api-keys), [Anthropic](https://console.anthropic.com/settings/keys), or [Google Gemini](https://ai.google.dev/gemini-api/docs/api-key).
-
-## The workflow
-
-Our tech support bot follows a 4-step decision tree:
-
-1. **Warranty Check** - Is the device under warranty?
-2. **Issue Classification** - Hardware or software issue?
-3. **Basic Troubleshooting** - Have they tried restarting/updating?
-4. **Solution Testing** - Did the suggested solution work?
-
-```mermaid
-flowchart TD
-    Start([Start]) --> Step1{Is device under warranty?}
-    
-    Step1 -->|Yes| Step2{What type of issue?}
-    Step1 -->|No| RepairChoice{Troubleshoot or speak to human?}
-    
-    RepairChoice -->|Human| Escalate1[🧑 Escalate to Human]
-    RepairChoice -->|Troubleshoot| Step2
-    
-    Step2 -->|Hardware| Escalate2[🧑 Escalate to Human]
-    Step2 -->|Software| Step3{Tried restarting/updating?}
-    
-    Step3 -->|No| Suggest[Suggest restart/update]
-    Step3 -->|Yes| Step4{Try solution - Did it work?}
-    
-    Suggest --> Step3
-    
-    Step4 -->|Yes| Success[✅ Issue Resolved]
-    Step4 -->|No| Escalate3[🧑 Escalate to Human]
-    
-    classDef stepNode fill:#e1f5fe,stroke:#0277bd,stroke-width:2px
-    classDef escalateNode fill:#ffebee,stroke:#d32f2f,stroke-width:2px
-    classDef successNode fill:#e8f5e8,stroke:#388e3c,stroke-width:2px
-    classDef loopNode fill:#fff3e0,stroke:#f57c00,stroke-width:2px
-    
-    class Step1,Step2,Step3,Step4,RepairChoice stepNode
-    class Escalate1,Escalate2,Escalate3 escalateNode
-    class Success successNode
-    class Suggest loopNode
-```
-
-## 1. Install packages
-
-Install the required packages:
-
-```bash
-pip install -U langgraph langsmith langchain-anthropic
-```
-
-!!! tip
-
-    Sign up for LangSmith to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph. For more information on how to get started, see [LangSmith docs](https://docs.smith.langchain.com).
-
-## 2. Define the state
-
-First, define the state structure that will track the conversation and workflow progress:
-
-```python
-from dataclasses import dataclass
-from typing import List, Optional, Literal
-
-from langchain_core.messages import BaseMessage
-
-# Define all possible workflow steps
-WorkflowStep = Literal[
-    "check_warranty",
-    "ask_repair_or_continue", 
-    "ask_issue_type",
-    "check_troubleshooting",
-    "suggest_troubleshooting",
-    "offer_solution",
-    "success",
-    "escalate"
-]
-
-@dataclass
-class State:
-    messages: List[BaseMessage]
-    is_last_step: bool = False
-    workflow_step: WorkflowStep = "check_warranty"
-
-    # State tracking for our 4-step workflow
-    warranty_status: Optional[Literal["in", "out"]] = None
-    wants_human_help: Optional[bool] = None  # for out-of-warranty users
-    issue_type: Optional[Literal["hardware", "software"]] = None
-    tried_basic_steps: Optional[bool] = None
-    solution_successful: Optional[bool] = None
-```
-
-!!! tip "Concept"
-
-    The `State` class tracks both the conversation messages and the workflow progress. Each field represents a decision point in our support process, allowing the bot to remember where the user is in the troubleshooting flow.
-
-## 3. Create tools for state management
-
-Create tools that the LLM can use to update the workflow state based on user responses:
-
-```python
-from typing import Literal, Annotated
-
-from langchain_core.messages import ToolMessage
-from langchain_core.tools import tool, InjectedToolCallId
-from langgraph.types import Command
-
-@tool
-def set_warranty_status(
-        value: Literal["in", "out"],
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Set whether device is under warranty"""
-    # Determine next step based on warranty status
-    next_step: WorkflowStep = "ask_repair_or_continue" if value == "out" else "ask_issue_type"
-    
-    return Command(update={
-        "warranty_status": value,
-        "workflow_step": next_step,
-        "messages": [ToolMessage(content=f"Warranty status set to '{value}'",
-                                 tool_call_id=tool_call_id)]
-    })
-
-@tool
-def set_wants_human_help(
-        value: Literal[True, False],
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Set whether user wants human help for out-of-warranty device"""
-    # If they want human help, escalate; otherwise continue to issue classification
-    next_step: WorkflowStep = "escalate" if value else "ask_issue_type"
-    
-    return Command(update={
-        "wants_human_help": value,
-        "workflow_step": next_step,
-        "messages": [
-            ToolMessage(content=f"Wants human help: {value}", tool_call_id=tool_call_id)]
-    })
-
-@tool
-def set_issue_type(
-        value: Literal["hardware", "software"],
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Classify the issue as hardware or software related"""
-    # Hardware issues escalate immediately; software issues go to troubleshooting
-    next_step: WorkflowStep = "escalate" if value == "hardware" else "check_troubleshooting"
-    
-    return Command(update={
-        "issue_type": value,
-        "workflow_step": next_step,
-        "messages": [
-            ToolMessage(content=f"Issue type set to '{value}'", tool_call_id=tool_call_id)]
-    })
-
-@tool
-def set_tried_basic_steps(
-        value: Literal[True, False],
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Record whether user has tried basic troubleshooting"""
-    # If they haven't tried basic steps, suggest them; otherwise offer solution
-    next_step: WorkflowStep = "suggest_troubleshooting" if not value else "offer_solution"
-    
-    return Command(update={
-        "tried_basic_steps": value,
-        "workflow_step": next_step,
-        "messages": [
-            ToolMessage(content=f"Tried basic steps: {value}", tool_call_id=tool_call_id)]
-    })
-
-@tool
-def confirm_troubleshooting_done(
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Confirm user has completed suggested troubleshooting steps"""
-    next_step: WorkflowStep = "check_troubleshooting"
-    
-    return Command(update={
-        "tried_basic_steps": True,
-        "workflow_step": next_step,
-        "messages": [
-            ToolMessage(content="Troubleshooting steps completed", tool_call_id=tool_call_id)]
-    })
-
-@tool
-def set_solution_successful(
-        value: Literal[True, False],
-        tool_call_id: Annotated[str, InjectedToolCallId]
-) -> Command:
-    """Record whether the suggested solution worked"""
-    # If solution worked, success; otherwise escalate
-    next_step: WorkflowStep = "success" if value else "escalate"
-    
-    return Command(update={
-        "solution_successful": value,
-        "workflow_step": next_step,
-        "messages": [
-            ToolMessage(content=f"Solution successful: {value}", tool_call_id=tool_call_id)]
-    })
-
-ALL_TOOLS = [
-    set_warranty_status,
-    set_wants_human_help,
-    set_issue_type,
-    set_tried_basic_steps,
-    confirm_troubleshooting_done,
-    set_solution_successful,
-]
-```
-
-These tools now handle both state updates and workflow transitions. Each tool determines the next step in the workflow based on the user's response, eliminating the need for complex routing logic.
-
-## 4. Set up the chat model
-
-{% include-markdown "../../snippets/chat_model_tabs.md" %}
-
-## 5. Create step-specific prompts
-
-Each workflow step needs a specific prompt to guide the LLM's behavior:
-
-```python
-from typing import Dict, List
-
-TOOL_MAP: Dict[WorkflowStep, List] = {
-    "check_warranty": [set_warranty_status],
-    "ask_repair_or_continue": [set_wants_human_help],
-    "ask_issue_type": [set_issue_type],
-    "check_troubleshooting": [set_tried_basic_steps],
-    "suggest_troubleshooting": [confirm_troubleshooting_done],
-    "offer_solution": [set_solution_successful],
-}
-
-def get_prompt_for_step(step: WorkflowStep) -> str:
-    """Get the appropriate prompt for each workflow step"""
-    prompts: Dict[WorkflowStep, str] = {
-        "check_warranty": """
-            Ask the user whether their device is under warranty. 
-            Use the set_warranty_status tool to record their response as 'in' or 'out'.
-            """,
-
-        "ask_repair_or_continue": """
-            The device is out of warranty. Ask if they'd like to:
-            1. Continue troubleshooting themselves, or 
-            2. Speak to a human about repair options
-            Use the set_wants_human_help tool to record their choice.
-            """,
-
-        "ask_issue_type": """
-            Ask what issue they are experiencing with their device. 
-            Based on their response, classify it as 'hardware' (physical problems, broken parts) 
-            or 'software' (app crashes, performance issues, etc.).
-            Use the set_issue_type tool to record the classification.
-            """,
-
-        "check_troubleshooting": """
-            Ask if they have already tried basic troubleshooting steps like:
-            - Restarting the device
-            - Updating the software/app
-            Use the set_tried_basic_steps tool to record their response.
-            """,
-
-        "suggest_troubleshooting": """
-            Suggest they try restarting their device and updating the software/app.
-            Ask them to try these steps and confirm once they're done.
-            Use the confirm_troubleshooting_done tool once they confirm they've tried.
-            """,
-
-        "offer_solution": """
-            Suggest they reset the app settings or clear the app cache.
-            Ask them to try this solution and confirm if it resolved the issue.
-            Use the set_solution_successful tool to record whether it worked.
-            """,
-    }
-    return prompts.get(step, "Continue helping the user with their issue.")
-```
-
-## 6. Create the model node
-
-The model node handles LLM interactions with the appropriate tools for each step:
-
-```python
-from typing import Dict, Literal
-
-from langchain.chat_models import init_chat_model
-from langchain_core.messages import AIMessage
-
-# Initialize the chat model
-llm = init_chat_model("anthropic:claude-3-5-sonnet-latest")
-
-async def call_model(state: State) -> Dict:
-    """Call the LLM with appropriate tools for the current step"""
-    # Handle terminal states
-    if state.workflow_step == "success":
-        return {
-            "messages": [AIMessage(
-                content="Great! I'm glad we could resolve your issue. Is there anything else I can help you with today?")],
-            "is_last_step": True
-        }
-    elif state.workflow_step == "escalate":
-        return {
-            "messages": [AIMessage(
-                content="I'm going to connect you with one of our human support specialists who can better assist you with this issue. Please hold on while I transfer you.")],
-            "is_last_step": True
-        }
-    
-    # For regular workflow steps, get the appropriate prompt and tools
-    prompt = get_prompt_for_step(state.workflow_step)
-    tools = TOOL_MAP.get(state.workflow_step, [])
-    model = llm.bind_tools(tools)
-
-    response = await model.ainvoke(
-        [{"role": "system", "content": prompt}, *state.messages]
-    )
-
-    return {"messages": [response]}
-
-def should_continue(state: State) -> Literal["tools", "call_model", "__end__"]:
-    """Determine whether to call tools or continue with the model"""
-    # If we've reached a terminal state, stop
-    if state.is_last_step:
-        return "__end__"
-    
-    # If the last message has tool calls, execute them
-    last_msg = state.messages[-1]
-    if isinstance(last_msg, AIMessage) and last_msg.tool_calls:
-        return "tools"
-    
-    # Otherwise, continue with the model
-    return "call_model"
-```
-
-!!! tip "Concept"
-
-    This simplified approach moves all the routing logic into the tools themselves. Each tool determines the next workflow step, eliminating the need for complex conditional routing functions. The `should_continue` function simply decides whether to execute tools or continue with the model.
-
-## 8. Build and compile the graph
-
-Now assemble all the components into a complete workflow:
-
-```python
-from langgraph.graph import StateGraph, START, END
-from langgraph.prebuilt import ToolNode
-
-builder = StateGraph(State)
-
-# Add nodes
-builder.add_node("call_model", call_model)
-builder.add_node("tools", ToolNode(ALL_TOOLS))
-
-# Set entry point
-builder.add_edge(START, "call_model")
-
-# Add conditional edges
-builder.add_conditional_edges(
-    "call_model",
-    should_continue,
-    ["tools", "call_model", END]
-)
-
-# Tools flow back to model
-builder.add_edge("tools", "call_model")
-
-# Compile the graph
-graph = builder.compile()
-```
-
-## 9. Test the workflow
-
-Run the tech support bot to see how it handles different scenarios:
-
-```python
-import asyncio
-from langchain_core.messages import HumanMessage, AIMessage
-
-async def run_example():
-    """Run an example conversation"""
-    print("\n🔁 Running Tech Support Workflow...\n")
-
-    initial_state = State(
-        messages=[
-            HumanMessage(content="Hi, my app is crashing a lot and I can't use it.")],
-        workflow_step="check_warranty"
-    )
-
-    final_state = await graph.ainvoke(initial_state)
-
-    print("\n✅ Conversation Complete!")
-    print(f"Final workflow step: {final_state.workflow_step}")
-    print(f"Warranty status: {final_state.warranty_status}")
-    print(f"Issue type: {final_state.issue_type}")
-    print(f"Tried basic steps: {final_state.tried_basic_steps}")
-    print(f"Solution successful: {final_state.solution_successful}")
-
-    print("\n💬 Final messages:")
-    for msg in final_state.messages[-3:]:  # Show last 3 messages
-        if isinstance(msg, HumanMessage):
-            print(f"User: {msg.content}")
-        elif isinstance(msg, AIMessage):
-            print(f"Bot: {msg.content}")
-
-if __name__ == "__main__":
-    asyncio.run(run_example())
-```
-
-!!! tip
-
-    You can exit the conversation at any time by typing `quit`, `exit`, or `q`.
-
-## Key concepts demonstrated
-
-This tech support bot showcases several important LangGraph concepts:
-
-### 1. **Conditional routing**
-The `route_workflow` function implements complex decision logic based on user responses:
- Warranty status determines the initial path
- Issue type (hardware vs software) triggers different responses  
- Solution success determines the final outcome
-
-### 2. **Looping behavior**
-Step 3 creates a loop where users who haven't tried basic troubleshooting are guided through it:
-```
-check_troubleshooting → suggest_troubleshooting → check_troubleshooting
-```
-
-### 3. **Human escalation**
-Multiple escalation points ensure complex issues reach human agents:
- Out-of-warranty users can choose human help
- Hardware issues automatically escalate
- Failed solutions trigger escalation
-
-### 4. **State management**
-The workflow tracks user progress through structured state variables, enabling complex multi-turn conversations.
-
-## Testing different scenarios
-
-Try these conversation paths to see how the bot handles various situations:
-
-1. **In-warranty software issue** → Full troubleshooting flow
-2. **Out-of-warranty hardware issue** → Immediate escalation
-3. **Software issue with successful solution** → Success completion
-4. **Software issue with failed solution** → Escalation
-
-## Next steps
-
-This implementation demonstrates how LangGraph can handle real-world customer service scenarios with sophisticated routing, looping, and escalation logic. You can extend this pattern to build more complex workflows for various business processes.
@@ -302,7 +302,7 @@
    "def format_docs(docs: List[Doc]) -> str:\n",
    "    xml_table = \"<conversations>\\n\"\n",
    "    for doc in docs:\n",
-    "        xml_table += f\"<conv_summ id={doc['id']}>{doc['summary']}</conv_summ>\\n\"\n",
+    "        xml_table += f'<conv_summ id={doc[\"id\"]}>{doc[\"summary\"]}</conv_summ>\\n'\n",
    "    xml_table += \"</conversations>\"\n",
    "    return xml_table\n",
    "\n",
@@ -311,9 +311,9 @@
    "    xml = \"<cluster_table>\\n\"\n",
    "    for label in clusters:\n",
    "        xml += \"  <cluster>\\n\"\n",
-    "        xml += f\"    <id>{label['id']}</id>\\n\"\n",
-    "        xml += f\"    <name>{label['name']}</name>\\n\"\n",
-    "        xml += f\"    <description>{label['description']}</description>\\n\"\n",
+    "        xml += f'    <id>{label[\"id\"]}</id>\\n'\n",
+    "        xml += f'    <name>{label[\"name\"]}</name>\\n'\n",
+    "        xml += f'    <description>{label[\"description\"]}</description>\\n'\n",
    "        xml += \"  </cluster>\\n\"\n",
    "    xml += \"</cluster_table>\"\n",
    "    return xml\n",
@@ -600,13 +600,13 @@
    "    turns.append(\n",
    "        f\"\"\"\n",
    "<human idx={idx}>\n",
-    "{run.inputs[\"question\"]}\n",
+    "{run.inputs['question']}\n",
    "</human>\"\"\"\n",
    "    )\n",
    "    if run.outputs and run.outputs[\"output\"]:\n",
    "        turns.append(\n",
-    "            f\"\"\"<ai idx={idx + 1}>\n",
-    "{run.outputs[\"output\"]}\n",
+    "            f\"\"\"<ai idx={idx+1}>\n",
+    "{run.outputs['output']}\n",
    "</ai>\"\"\"\n",
    "        )\n",
    "    return {\n",
@@ -54,7 +54,6 @@ plugins:
      separator: '[\s\u200b\-,:!=\[\]()"`/]+|\.(?!\d)|&[lg]t;'
  - autorefs
  - tags
-  - include-markdown
  - mkdocstrings:
      custom_templates: templates
      handlers:
@@ -142,6 +141,10 @@ nav:
          - Overview: concepts/human_in_the_loop.md
          - Add human intervention: how-tos/human_in_the_loop/add-human-in-the-loop.md
          - Use Server API: cloud/how-tos/add-human-in-the-loop.md
+      - Breakpoints:
+          - Overview: concepts/breakpoints.md
+          - Set breakpoints: how-tos/human_in_the_loop/breakpoints.md
+          - Use Server API: cloud/how-tos/human_in_the_loop_breakpoint.md
      - Time travel:
          - Overview: concepts/time-travel.md
          - Use time travel: how-tos/human_in_the_loop/time-travel.md
@@ -270,7 +273,6 @@ nav:
    - examples/index.md
    - Template applications: concepts/template_applications.md  # TODO: make tutorial
    - Agentic RAG: tutorials/rag/langgraph_agentic_rag.md
-    - tutorials/tech-support-bot.md
    - Agent Supervisor: tutorials/multi_agent/agent_supervisor.md
    - SQL agent: tutorials/sql/sql-agent.md
    - Prebuilt chat UI: agents/ui.md
@@ -355,6 +357,8 @@ markdown_extensions:
      combine_header_slug: true
  - pymdownx.tasklist:
      custom_checkbox: true
+  - markdown_include.include:
+      base_path: ./
  - github-callouts
 hooks:
  - _scripts/notebook_hooks.py
@@ -1,16 +0,0 @@
-/* Minimal CSS for copy page button */
-.copy-page-btn {
-    background: transparent;
-    border: 1px solid var(--md-default-fg-color--lightest);
-    padding: 6px 12px;
-    margin-right: 8px;
-    border-radius: 4px;
-    cursor: pointer;
-    font-size: 14px;
-    color: var(--md-default-fg-color);
-    transition: all 0.2s ease;
-}
-
-.copy-page-btn:hover {
-    background: var(--md-default-fg-color--lightest);
-}
@@ -1,38 +0,0 @@
-// Simple copy page functionality - just copy the markdown content
-function copyPageAsMarkdown() {
-    const markdownScript = document.getElementById('page-markdown-content');
-    if (!markdownScript) {
-        alert('Markdown content not available for this page');
-        return;
-    }
-    
-    try {
-        const data = JSON.parse(markdownScript.textContent);
-        const content = `# ${data.title}\n\nSource: ${window.location.href}\n\n${data.markdown}`;
-        
-        navigator.clipboard.writeText(content).then(() => {
-            // Simple notification
-            const notification = document.createElement('div');
-            notification.textContent = 'Page content copied to clipboard';
-            notification.style.cssText = 'position:fixed;top:20px;right:20px;background:#4CAF50;color:white;padding:10px;border-radius:4px;z-index:9999;';
-            document.body.appendChild(notification);
-            setTimeout(() => notification.remove(), 3000);
-        }).catch(() => {
-            alert('Failed to copy content');
-        });
-    } catch (e) {
-        alert('Failed to parse page content');
-    }
-}
-
-// Add button to header - simpler approach
-document.addEventListener('DOMContentLoaded', function() {
-    const headerSource = document.querySelector('.md-header__source');
-    if (headerSource) {
-        const button = document.createElement('button');
-        button.textContent = 'Copy page';
-        button.onclick = copyPageAsMarkdown;
-        button.style.cssText = 'background:none;border:1px solid #ddd;padding:6px 12px;margin-right:8px;border-radius:4px;cursor:pointer;';
-        headerSource.parentNode.insertBefore(button, headerSource);
-    }
-});
@@ -13,130 +13,6 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=

 {% block extrahead %}
  <meta name="algolia-site-verification" content="165B7E7C89E49946" />
-  <script>
-    // Simple copy page functionality - uses original markdown source
-    function copyPageAsMarkdown() {
-        const markdownScript = document.getElementById('page-markdown-content');
-        if (!markdownScript) {
-            alert('Markdown content not available for this page');
-            return;
-        }
-        
-        try {
-            let rawContent = markdownScript.textContent;
-            
-            // Safe HTML entity decoding function
-            function decodeHtmlEntities(text) {
-                const parser = new DOMParser();
-                const doc = parser.parseFromString(text, 'text/html');
-                return doc.documentElement.textContent || '';
-            }
-            
-            // Always decode HTML entities since the browser might encode them
-            rawContent = decodeHtmlEntities(rawContent);
-            
-            
-            const data = JSON.parse(rawContent);
-            const content = `Source: ${window.location.href}\n\n${data.markdown}`;
-            
-            navigator.clipboard.writeText(content).then(() => {
-                // Simple notification
-                const notification = document.createElement('div');
-                notification.textContent = 'Page content copied to clipboard';
-                notification.style.cssText = 'position:fixed;top:20px;right:20px;background:#4CAF50;color:white;padding:10px 16px;border-radius:4px;z-index:9999;box-shadow:0 2px 10px rgba(0,0,0,0.2);';
-                document.body.appendChild(notification);
-                setTimeout(() => notification.remove(), 3000);
-            }).catch(() => {
-                alert('Failed to copy content');
-            });
-        } catch (e) {
-            console.error('Failed to parse page content:', e);
-            alert('Failed to parse page content: ' + e.message);
-        }
-    }
-
-    // Add dropdown button to header when page loads
-    document.addEventListener('DOMContentLoaded', function() {
-        const headerSource = document.querySelector('.md-header__source');
-        if (headerSource) {
-            // Create dropdown container
-            const dropdownContainer = document.createElement('div');
-            dropdownContainer.style.cssText = 'position:relative;display:inline-block;margin-left:8px;';
-            
-            // Create main button
-            const button = document.createElement('button');
-            button.innerHTML = 'Copy page <span style="margin-left:8px;font-size:12px;color:#9ca3af;">▾</span>';
-            button.style.cssText = 'background:transparent;border:1px solid #d1d5db;padding:6px 12px;border-radius:4px;cursor:pointer;font-size:14px;color:#374151;transition:all 0.2s ease;white-space:nowrap;display:flex;align-items:center;';
-            
-            // Create dropdown menu
-            const dropdown = document.createElement('div');
-            dropdown.className = 'copy-page-dropdown';
-            dropdown.style.cssText = 'position:absolute;top:100%;left:0;background:white;border:1px solid #e5e7eb;border-radius:6px;box-shadow:0 4px 12px rgba(0,0,0,0.15);z-index:1000;min-width:180px;display:none;padding:4px 0;';
-            
-            // Create dropdown options
-            const option1 = document.createElement('div');
-            option1.textContent = 'Copy as Markdown for LLMs';
-            option1.className = 'copy-page-option';
-            option1.style.cssText = 'padding:8px 16px;cursor:pointer;font-size:14px;color:#374151;margin:2px 0;';
-            option1.onmouseover = function() { 
-                this.style.background = document.documentElement.getAttribute('data-md-color-scheme') === 'slate' ? '#4a5568' : '#f8fafc'; 
-            };
-            option1.onmouseout = function() { this.style.background = 'transparent'; };
-            option1.onclick = function() {
-                // Check if we're on a reference page
-                if (window.location.pathname.includes('/reference/')) {
-                    alert('Copy Page not yet available in API reference pages.');
-                } else {
-                    copyPageAsMarkdown();
-                }
-                dropdown.style.display = 'none';
-            };
-            
-            const option2 = document.createElement('div');
-            option2.textContent = "View LangGraph's llms.txt";
-            option2.className = 'copy-page-option';
-            option2.style.cssText = 'padding:8px 16px;cursor:pointer;font-size:14px;color:#374151;margin:2px 0;';
-            option2.onmouseover = function() { 
-                this.style.background = document.documentElement.getAttribute('data-md-color-scheme') === 'slate' ? '#4a5568' : '#f8fafc'; 
-            };
-            option2.onmouseout = function() { this.style.background = 'transparent'; };
-            option2.onclick = function() {
-                window.open('/langgraph/llms-txt-overview/', '_blank');
-                dropdown.style.display = 'none';
-            };
-            
-            // Add options to dropdown
-            dropdown.appendChild(option1);
-            dropdown.appendChild(option2);
-            
-            // Button hover effects
-            button.onmouseover = function() { 
-                this.style.background = '#f3f4f6'; 
-                this.style.borderColor = '#9ca3af'; 
-            };
-            button.onmouseout = function() { 
-                this.style.background = 'transparent'; 
-                this.style.borderColor = '#d1d5db'; 
-            };
-            
-            // Toggle dropdown
-            button.onclick = function(e) {
-                e.stopPropagation();
-                dropdown.style.display = dropdown.style.display === 'none' ? 'block' : 'none';
-            };
-            
-            // Close dropdown when clicking outside
-            document.addEventListener('click', function() {
-                dropdown.style.display = 'none';
-            });
-            
-            // Assemble dropdown
-            dropdownContainer.appendChild(button);
-            dropdownContainer.appendChild(dropdown);
-            headerSource.parentNode.insertBefore(dropdownContainer, headerSource.nextSibling);
-        }
-    });
-  </script>
  <style>
    @import url("https://fonts.googleapis.com/css2?family=Public+Sans&display=swap");
    :root {
@@ -322,17 +198,6 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
      color: #000000;
    }

-    /* Copy page dropdown dark mode support */
-    [data-md-color-scheme="slate"] .copy-page-dropdown {
-      background: #1f2937 !important;
-      border-color: #374151 !important;
-      box-shadow: 0 4px 12px rgba(0,0,0,0.5) !important;
-    }
-
-    [data-md-color-scheme="slate"] .copy-page-option {
-      color: #e5e7eb !important;
-    }
-
  </style>
 {% endblock %}

@@ -9,8 +9,7 @@
    "@langchain/core": "^0.3.38",
    "@langchain/openai": "^0.4.2",
    "msgpack-lite": "^0.1.26",
-    "nock": "^14.0.1",
-    "he": "^1.2.0"
+    "nock": "^14.0.1"
  },
  "devDependencies": {
    "@tsconfig/recommended": "^1.0.8",
@@ -7,7 +7,7 @@ name = "langgraph-docs"
 version = "0.0.1"
 description = "LangGraph docs"
 authors = []
-requires-python = "~=3.11"
+requires-python = "~=3.10"
 readme = "README.md"
 license = "MIT"
 dependencies = [
@@ -48,7 +48,6 @@ docs = [
    "ruff",
    "jupyter",
    "langchain-cohere",
-    "mkdocs-include-markdown-plugin>=7.1.6",
 ]
 test = [
    "langchain",
@@ -557,7 +557,7 @@ class BasePostgresStore(Generic[C]):
    ) -> list[tuple[str, Sequence]]:
        queries: list[tuple[str, Sequence]] = []
        for _, op in list_ops:
-            query = r"""
+            query = """
                SELECT DISTINCT ON (truncated_prefix) truncated_prefix, prefix
                FROM (
                    SELECT
@@ -756,7 +756,6 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
                If provided, will create a connection pool and use it instead of a single connection.
                This overrides the `pipeline` argument.
            index: The index configuration for the store.
-            ttl: The TTL configuration for the store.

        Returns:
            PostgresStore: A new PostgresStore instance.
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.21"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.9"
@@ -28,11 +28,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -334,7 +334,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.21"
 source = { editable = "." }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -381,7 +381,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -392,9 +392,9 @@ dependencies = [
    { name = "requests-toolbelt" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -977,27 +977,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -40,11 +40,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -389,7 +389,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -400,9 +400,9 @@ dependencies = [
    { name = "requests-toolbelt" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -905,27 +905,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -595,6 +595,6 @@ class PersistentDict(defaultdict):
                except EOFError:
                    return
                except Exception:
-                    logger.error(f"Failed to load file: {fileobj.name}")
+                    logging.error(f"Failed to load file: {fileobj.name}")
                    raise
            raise ValueError("File not in a supported format")
@@ -34,11 +34,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -371,7 +371,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -382,9 +382,9 @@ dependencies = [
    { name = "requests-toolbelt" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -773,7 +773,7 @@ wheels = [

 [[package]]
 name = "pandas"
-version = "2.3.1"
+version = "2.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
@@ -783,49 +783,49 @@ dependencies = [
    { name = "pytz" },
    { name = "tzdata" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d1/6f/75aa71f8a14267117adeeed5d21b204770189c0a0025acbdc03c337b28fc/pandas-2.3.1.tar.gz", hash = "sha256:0a95b9ac964fe83ce317827f80304d37388ea77616b1425f0ae41c9d2d0d7bb2", size = 4487493, upload-time = "2025-07-07T19:20:04.079Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/51/48f713c4c728d7c55ef7444ba5ea027c26998d96d1a40953b346438602fc/pandas-2.3.0.tar.gz", hash = "sha256:34600ab34ebf1131a7613a260a61dbe8b62c188ec0ea4c296da7c9a06b004133", size = 4484490, upload-time = "2025-06-05T03:27:54.133Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c4/ca/aa97b47287221fa37a49634532e520300088e290b20d690b21ce3e448143/pandas-2.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:22c2e866f7209ebc3a8f08d75766566aae02bcc91d196935a1d9e59c7b990ac9", size = 11542731, upload-time = "2025-07-07T19:18:12.619Z" },
-    { url = "https://files.pythonhosted.org/packages/80/bf/7938dddc5f01e18e573dcfb0f1b8c9357d9b5fa6ffdee6e605b92efbdff2/pandas-2.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3583d348546201aff730c8c47e49bc159833f971c2899d6097bce68b9112a4f1", size = 10790031, upload-time = "2025-07-07T19:18:16.611Z" },
-    { url = "https://files.pythonhosted.org/packages/ee/2f/9af748366763b2a494fed477f88051dbf06f56053d5c00eba652697e3f94/pandas-2.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0f951fbb702dacd390561e0ea45cdd8ecfa7fb56935eb3dd78e306c19104b9b0", size = 11724083, upload-time = "2025-07-07T19:18:20.512Z" },
-    { url = "https://files.pythonhosted.org/packages/2c/95/79ab37aa4c25d1e7df953dde407bb9c3e4ae47d154bc0dd1692f3a6dcf8c/pandas-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cd05b72ec02ebfb993569b4931b2e16fbb4d6ad6ce80224a3ee838387d83a191", size = 12342360, upload-time = "2025-07-07T19:18:23.194Z" },
-    { url = "https://files.pythonhosted.org/packages/75/a7/d65e5d8665c12c3c6ff5edd9709d5836ec9b6f80071b7f4a718c6106e86e/pandas-2.3.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:1b916a627919a247d865aed068eb65eb91a344b13f5b57ab9f610b7716c92de1", size = 13202098, upload-time = "2025-07-07T19:18:25.558Z" },
-    { url = "https://files.pythonhosted.org/packages/65/f3/4c1dbd754dbaa79dbf8b537800cb2fa1a6e534764fef50ab1f7533226c5c/pandas-2.3.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:fe67dc676818c186d5a3d5425250e40f179c2a89145df477dd82945eaea89e97", size = 13837228, upload-time = "2025-07-07T19:18:28.344Z" },
-    { url = "https://files.pythonhosted.org/packages/3f/d6/d7f5777162aa9b48ec3910bca5a58c9b5927cfd9cfde3aa64322f5ba4b9f/pandas-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:2eb789ae0274672acbd3c575b0598d213345660120a257b47b5dafdc618aec83", size = 11336561, upload-time = "2025-07-07T19:18:31.211Z" },
-    { url = "https://files.pythonhosted.org/packages/76/1c/ccf70029e927e473a4476c00e0d5b32e623bff27f0402d0a92b7fc29bb9f/pandas-2.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2b0540963d83431f5ce8870ea02a7430adca100cec8a050f0811f8e31035541b", size = 11566608, upload-time = "2025-07-07T19:18:33.86Z" },
-    { url = "https://files.pythonhosted.org/packages/ec/d3/3c37cb724d76a841f14b8f5fe57e5e3645207cc67370e4f84717e8bb7657/pandas-2.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fe7317f578c6a153912bd2292f02e40c1d8f253e93c599e82620c7f69755c74f", size = 10823181, upload-time = "2025-07-07T19:18:36.151Z" },
-    { url = "https://files.pythonhosted.org/packages/8a/4c/367c98854a1251940edf54a4df0826dcacfb987f9068abf3e3064081a382/pandas-2.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6723a27ad7b244c0c79d8e7007092d7c8f0f11305770e2f4cd778b3ad5f9f85", size = 11793570, upload-time = "2025-07-07T19:18:38.385Z" },
-    { url = "https://files.pythonhosted.org/packages/07/5f/63760ff107bcf5146eee41b38b3985f9055e710a72fdd637b791dea3495c/pandas-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3462c3735fe19f2638f2c3a40bd94ec2dc5ba13abbb032dd2fa1f540a075509d", size = 12378887, upload-time = "2025-07-07T19:18:41.284Z" },
-    { url = "https://files.pythonhosted.org/packages/15/53/f31a9b4dfe73fe4711c3a609bd8e60238022f48eacedc257cd13ae9327a7/pandas-2.3.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:98bcc8b5bf7afed22cc753a28bc4d9e26e078e777066bc53fac7904ddef9a678", size = 13230957, upload-time = "2025-07-07T19:18:44.187Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/94/6fce6bf85b5056d065e0a7933cba2616dcb48596f7ba3c6341ec4bcc529d/pandas-2.3.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:4d544806b485ddf29e52d75b1f559142514e60ef58a832f74fb38e48d757b299", size = 13883883, upload-time = "2025-07-07T19:18:46.498Z" },
-    { url = "https://files.pythonhosted.org/packages/c8/7b/bdcb1ed8fccb63d04bdb7635161d0ec26596d92c9d7a6cce964e7876b6c1/pandas-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:b3cd4273d3cb3707b6fffd217204c52ed92859533e31dc03b7c5008aa933aaab", size = 11340212, upload-time = "2025-07-07T19:18:49.293Z" },
-    { url = "https://files.pythonhosted.org/packages/46/de/b8445e0f5d217a99fe0eeb2f4988070908979bec3587c0633e5428ab596c/pandas-2.3.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:689968e841136f9e542020698ee1c4fbe9caa2ed2213ae2388dc7b81721510d3", size = 11588172, upload-time = "2025-07-07T19:18:52.054Z" },
-    { url = "https://files.pythonhosted.org/packages/1e/e0/801cdb3564e65a5ac041ab99ea6f1d802a6c325bb6e58c79c06a3f1cd010/pandas-2.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:025e92411c16cbe5bb2a4abc99732a6b132f439b8aab23a59fa593eb00704232", size = 10717365, upload-time = "2025-07-07T19:18:54.785Z" },
-    { url = "https://files.pythonhosted.org/packages/51/a5/c76a8311833c24ae61a376dbf360eb1b1c9247a5d9c1e8b356563b31b80c/pandas-2.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9b7ff55f31c4fcb3e316e8f7fa194566b286d6ac430afec0d461163312c5841e", size = 11280411, upload-time = "2025-07-07T19:18:57.045Z" },
-    { url = "https://files.pythonhosted.org/packages/da/01/e383018feba0a1ead6cf5fe8728e5d767fee02f06a3d800e82c489e5daaf/pandas-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7dcb79bf373a47d2a40cf7232928eb7540155abbc460925c2c96d2d30b006eb4", size = 11988013, upload-time = "2025-07-07T19:18:59.771Z" },
-    { url = "https://files.pythonhosted.org/packages/5b/14/cec7760d7c9507f11c97d64f29022e12a6cc4fc03ac694535e89f88ad2ec/pandas-2.3.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:56a342b231e8862c96bdb6ab97170e203ce511f4d0429589c8ede1ee8ece48b8", size = 12767210, upload-time = "2025-07-07T19:19:02.944Z" },
-    { url = "https://files.pythonhosted.org/packages/50/b9/6e2d2c6728ed29fb3d4d4d302504fb66f1a543e37eb2e43f352a86365cdf/pandas-2.3.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:ca7ed14832bce68baef331f4d7f294411bed8efd032f8109d690df45e00c4679", size = 13440571, upload-time = "2025-07-07T19:19:06.82Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a5/3a92893e7399a691bad7664d977cb5e7c81cf666c81f89ea76ba2bff483d/pandas-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:ac942bfd0aca577bef61f2bc8da8147c4ef6879965ef883d8e8d5d2dc3e744b8", size = 10987601, upload-time = "2025-07-07T19:19:09.589Z" },
-    { url = "https://files.pythonhosted.org/packages/32/ed/ff0a67a2c5505e1854e6715586ac6693dd860fbf52ef9f81edee200266e7/pandas-2.3.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:9026bd4a80108fac2239294a15ef9003c4ee191a0f64b90f170b40cfb7cf2d22", size = 11531393, upload-time = "2025-07-07T19:19:12.245Z" },
-    { url = "https://files.pythonhosted.org/packages/c7/db/d8f24a7cc9fb0972adab0cc80b6817e8bef888cfd0024eeb5a21c0bb5c4a/pandas-2.3.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6de8547d4fdb12421e2d047a2c446c623ff4c11f47fddb6b9169eb98ffba485a", size = 10668750, upload-time = "2025-07-07T19:19:14.612Z" },
-    { url = "https://files.pythonhosted.org/packages/0f/b0/80f6ec783313f1e2356b28b4fd8d2148c378370045da918c73145e6aab50/pandas-2.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:782647ddc63c83133b2506912cc6b108140a38a37292102aaa19c81c83db2928", size = 11342004, upload-time = "2025-07-07T19:19:16.857Z" },
-    { url = "https://files.pythonhosted.org/packages/e9/e2/20a317688435470872885e7fc8f95109ae9683dec7c50be29b56911515a5/pandas-2.3.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ba6aff74075311fc88504b1db890187a3cd0f887a5b10f5525f8e2ef55bfdb9", size = 12050869, upload-time = "2025-07-07T19:19:19.265Z" },
-    { url = "https://files.pythonhosted.org/packages/55/79/20d746b0a96c67203a5bee5fb4e00ac49c3e8009a39e1f78de264ecc5729/pandas-2.3.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:e5635178b387bd2ba4ac040f82bc2ef6e6b500483975c4ebacd34bec945fda12", size = 12750218, upload-time = "2025-07-07T19:19:21.547Z" },
-    { url = "https://files.pythonhosted.org/packages/7c/0f/145c8b41e48dbf03dd18fdd7f24f8ba95b8254a97a3379048378f33e7838/pandas-2.3.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6f3bf5ec947526106399a9e1d26d40ee2b259c66422efdf4de63c848492d91bb", size = 13416763, upload-time = "2025-07-07T19:19:23.939Z" },
-    { url = "https://files.pythonhosted.org/packages/b2/c0/54415af59db5cdd86a3d3bf79863e8cc3fa9ed265f0745254061ac09d5f2/pandas-2.3.1-cp313-cp313-win_amd64.whl", hash = "sha256:1c78cf43c8fde236342a1cb2c34bcff89564a7bfed7e474ed2fffa6aed03a956", size = 10987482, upload-time = "2025-07-07T19:19:42.699Z" },
-    { url = "https://files.pythonhosted.org/packages/48/64/2fd2e400073a1230e13b8cd604c9bc95d9e3b962e5d44088ead2e8f0cfec/pandas-2.3.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:8dfc17328e8da77be3cf9f47509e5637ba8f137148ed0e9b5241e1baf526e20a", size = 12029159, upload-time = "2025-07-07T19:19:26.362Z" },
-    { url = "https://files.pythonhosted.org/packages/d8/0a/d84fd79b0293b7ef88c760d7dca69828d867c89b6d9bc52d6a27e4d87316/pandas-2.3.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:ec6c851509364c59a5344458ab935e6451b31b818be467eb24b0fe89bd05b6b9", size = 11393287, upload-time = "2025-07-07T19:19:29.157Z" },
-    { url = "https://files.pythonhosted.org/packages/50/ae/ff885d2b6e88f3c7520bb74ba319268b42f05d7e583b5dded9837da2723f/pandas-2.3.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:911580460fc4884d9b05254b38a6bfadddfcc6aaef856fb5859e7ca202e45275", size = 11309381, upload-time = "2025-07-07T19:19:31.436Z" },
-    { url = "https://files.pythonhosted.org/packages/85/86/1fa345fc17caf5d7780d2699985c03dbe186c68fee00b526813939062bb0/pandas-2.3.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2f4d6feeba91744872a600e6edbbd5b033005b431d5ae8379abee5bcfa479fab", size = 11883998, upload-time = "2025-07-07T19:19:34.267Z" },
-    { url = "https://files.pythonhosted.org/packages/81/aa/e58541a49b5e6310d89474333e994ee57fea97c8aaa8fc7f00b873059bbf/pandas-2.3.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:fe37e757f462d31a9cd7580236a82f353f5713a80e059a29753cf938c6775d96", size = 12704705, upload-time = "2025-07-07T19:19:36.856Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/f9/07086f5b0f2a19872554abeea7658200824f5835c58a106fa8f2ae96a46c/pandas-2.3.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:5db9637dbc24b631ff3707269ae4559bce4b7fd75c1c4d7e13f40edc42df4444", size = 13189044, upload-time = "2025-07-07T19:19:39.999Z" },
-    { url = "https://files.pythonhosted.org/packages/6e/21/ecf2df680982616459409b09962a8c2065330c7151dc6538069f3b634acf/pandas-2.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4645f770f98d656f11c69e81aeb21c6fca076a44bed3dcbb9396a4311bc7f6d8", size = 11567275, upload-time = "2025-07-07T19:19:45.152Z" },
-    { url = "https://files.pythonhosted.org/packages/1e/1a/dcb50e44b75419e96b276c9fb023b0f147b3c411be1cd517492aa2a184d4/pandas-2.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:342e59589cc454aaff7484d75b816a433350b3d7964d7847327edda4d532a2e3", size = 10811488, upload-time = "2025-07-07T19:19:47.797Z" },
-    { url = "https://files.pythonhosted.org/packages/2d/55/66cd2b679f6a27398380eac7574bc24746128f74626a3c02b978ea00e5ce/pandas-2.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d12f618d80379fde6af007f65f0c25bd3e40251dbd1636480dfffce2cf1e6da", size = 11763000, upload-time = "2025-07-07T19:19:50.83Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/1c/5b9b263c80fd5e231b77df6f78cd7426d1d4ad3a4e858e85b7b3d93d0e9c/pandas-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd71c47a911da120d72ef173aeac0bf5241423f9bfea57320110a978457e069e", size = 12361395, upload-time = "2025-07-07T19:19:53.714Z" },
-    { url = "https://files.pythonhosted.org/packages/f7/74/7e817b31413fbb96366ea327d43d1926a9c48c58074e27e094e2839a0e36/pandas-2.3.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:09e3b1587f0f3b0913e21e8b32c3119174551deb4a4eba4a89bc7377947977e7", size = 13225086, upload-time = "2025-07-07T19:19:56.378Z" },
-    { url = "https://files.pythonhosted.org/packages/1f/0f/bc0a44b47eba2f22ae4235719a573d552ef7ad76ed3ea39ae62d554e040b/pandas-2.3.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2323294c73ed50f612f67e2bf3ae45aea04dce5690778e08a09391897f35ff88", size = 13871698, upload-time = "2025-07-07T19:19:58.854Z" },
-    { url = "https://files.pythonhosted.org/packages/fa/cb/6c32f8fadefa4314b740fbe8f74f6a02423bd1549e7c930826df35ac3c1b/pandas-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:b4b0de34dc8499c2db34000ef8baad684cfa4cbd836ecee05f323ebfba348c7d", size = 11357186, upload-time = "2025-07-07T19:20:01.475Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/2d/df6b98c736ba51b8eaa71229e8fcd91233a831ec00ab520e1e23090cc072/pandas-2.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:625466edd01d43b75b1883a64d859168e4556261a5035b32f9d743b67ef44634", size = 11527531, upload-time = "2025-06-05T03:25:48.648Z" },
+    { url = "https://files.pythonhosted.org/packages/77/1c/3f8c331d223f86ba1d0ed7d3ed7fcf1501c6f250882489cc820d2567ddbf/pandas-2.3.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a6872d695c896f00df46b71648eea332279ef4077a409e2fe94220208b6bb675", size = 10774764, upload-time = "2025-06-05T03:25:53.228Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/45/d2599400fad7fe06b849bd40b52c65684bc88fbe5f0a474d0513d057a377/pandas-2.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4dd97c19bd06bc557ad787a15b6489d2614ddaab5d104a0310eb314c724b2d2", size = 11711963, upload-time = "2025-06-05T03:25:56.855Z" },
+    { url = "https://files.pythonhosted.org/packages/66/f8/5508bc45e994e698dbc93607ee6b9b6eb67df978dc10ee2b09df80103d9e/pandas-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:034abd6f3db8b9880aaee98f4f5d4dbec7c4829938463ec046517220b2f8574e", size = 12349446, upload-time = "2025-06-05T03:26:01.292Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/fc/17851e1b1ea0c8456ba90a2f514c35134dd56d981cf30ccdc501a0adeac4/pandas-2.3.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:23c2b2dc5213810208ca0b80b8666670eb4660bbfd9d45f58592cc4ddcfd62e1", size = 12920002, upload-time = "2025-06-06T00:00:07.925Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/9b/8743be105989c81fa33f8e2a4e9822ac0ad4aaf812c00fee6bb09fc814f9/pandas-2.3.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:39ff73ec07be5e90330cc6ff5705c651ace83374189dcdcb46e6ff54b4a72cd6", size = 13651218, upload-time = "2025-06-05T03:26:09.731Z" },
+    { url = "https://files.pythonhosted.org/packages/26/fa/8eeb2353f6d40974a6a9fd4081ad1700e2386cf4264a8f28542fd10b3e38/pandas-2.3.0-cp310-cp310-win_amd64.whl", hash = "sha256:40cecc4ea5abd2921682b57532baea5588cc5f80f0231c624056b146887274d2", size = 11082485, upload-time = "2025-06-05T03:26:17.572Z" },
+    { url = "https://files.pythonhosted.org/packages/96/1e/ba313812a699fe37bf62e6194265a4621be11833f5fce46d9eae22acb5d7/pandas-2.3.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8adff9f138fc614347ff33812046787f7d43b3cef7c0f0171b3340cae333f6ca", size = 11551836, upload-time = "2025-06-05T03:26:22.784Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/cc/0af9c07f8d714ea563b12383a7e5bde9479cf32413ee2f346a9c5a801f22/pandas-2.3.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e5f08eb9a445d07720776df6e641975665c9ea12c9d8a331e0f6890f2dcd76ef", size = 10807977, upload-time = "2025-06-05T16:50:11.109Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/3e/8c0fb7e2cf4a55198466ced1ca6a9054ae3b7e7630df7757031df10001fd/pandas-2.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fa35c266c8cd1a67d75971a1912b185b492d257092bdd2709bbdebe574ed228d", size = 11788230, upload-time = "2025-06-05T03:26:27.417Z" },
+    { url = "https://files.pythonhosted.org/packages/14/22/b493ec614582307faf3f94989be0f7f0a71932ed6f56c9a80c0bb4a3b51e/pandas-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:14a0cc77b0f089d2d2ffe3007db58f170dae9b9f54e569b299db871a3ab5bf46", size = 12370423, upload-time = "2025-06-05T03:26:34.142Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/74/b012addb34cda5ce855218a37b258c4e056a0b9b334d116e518d72638737/pandas-2.3.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c06f6f144ad0a1bf84699aeea7eff6068ca5c63ceb404798198af7eb86082e33", size = 12990594, upload-time = "2025-06-06T00:00:13.934Z" },
+    { url = "https://files.pythonhosted.org/packages/95/81/b310e60d033ab64b08e66c635b94076488f0b6ce6a674379dd5b224fc51c/pandas-2.3.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:ed16339bc354a73e0a609df36d256672c7d296f3f767ac07257801aa064ff73c", size = 13745952, upload-time = "2025-06-05T03:26:39.475Z" },
+    { url = "https://files.pythonhosted.org/packages/25/ac/f6ee5250a8881b55bd3aecde9b8cfddea2f2b43e3588bca68a4e9aaf46c8/pandas-2.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:fa07e138b3f6c04addfeaf56cc7fdb96c3b68a3fe5e5401251f231fce40a0d7a", size = 11094534, upload-time = "2025-06-05T03:26:43.23Z" },
+    { url = "https://files.pythonhosted.org/packages/94/46/24192607058dd607dbfacdd060a2370f6afb19c2ccb617406469b9aeb8e7/pandas-2.3.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:2eb4728a18dcd2908c7fccf74a982e241b467d178724545a48d0caf534b38ebf", size = 11573865, upload-time = "2025-06-05T03:26:46.774Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/cc/ae8ea3b800757a70c9fdccc68b67dc0280a6e814efcf74e4211fd5dea1ca/pandas-2.3.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b9d8c3187be7479ea5c3d30c32a5d73d62a621166675063b2edd21bc47614027", size = 10702154, upload-time = "2025-06-05T16:50:14.439Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/ba/a7883d7aab3d24c6540a2768f679e7414582cc389876d469b40ec749d78b/pandas-2.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ff730713d4c4f2f1c860e36c005c7cefc1c7c80c21c0688fd605aa43c9fcf09", size = 11262180, upload-time = "2025-06-05T16:50:17.453Z" },
+    { url = "https://files.pythonhosted.org/packages/01/a5/931fc3ad333d9d87b10107d948d757d67ebcfc33b1988d5faccc39c6845c/pandas-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba24af48643b12ffe49b27065d3babd52702d95ab70f50e1b34f71ca703e2c0d", size = 11991493, upload-time = "2025-06-05T03:26:51.813Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/bf/0213986830a92d44d55153c1d69b509431a972eb73f204242988c4e66e86/pandas-2.3.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:404d681c698e3c8a40a61d0cd9412cc7364ab9a9cc6e144ae2992e11a2e77a20", size = 12470733, upload-time = "2025-06-06T00:00:18.651Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/0e/21eb48a3a34a7d4bac982afc2c4eb5ab09f2d988bdf29d92ba9ae8e90a79/pandas-2.3.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6021910b086b3ca756755e86ddc64e0ddafd5e58e076c72cb1585162e5ad259b", size = 13212406, upload-time = "2025-06-05T03:26:55.992Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/d9/74017c4eec7a28892d8d6e31ae9de3baef71f5a5286e74e6b7aad7f8c837/pandas-2.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:094e271a15b579650ebf4c5155c05dcd2a14fd4fdd72cf4854b2f7ad31ea30be", size = 10976199, upload-time = "2025-06-05T03:26:59.594Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/57/5cb75a56a4842bbd0511c3d1c79186d8315b82dac802118322b2de1194fe/pandas-2.3.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c7e2fc25f89a49a11599ec1e76821322439d90820108309bf42130d2f36c983", size = 11518913, upload-time = "2025-06-05T03:27:02.757Z" },
+    { url = "https://files.pythonhosted.org/packages/05/01/0c8785610e465e4948a01a059562176e4c8088aa257e2e074db868f86d4e/pandas-2.3.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:c6da97aeb6a6d233fb6b17986234cc723b396b50a3c6804776351994f2a658fd", size = 10655249, upload-time = "2025-06-05T16:50:20.17Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/6a/47fd7517cd8abe72a58706aab2b99e9438360d36dcdb052cf917b7bf3bdc/pandas-2.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb32dc743b52467d488e7a7c8039b821da2826a9ba4f85b89ea95274f863280f", size = 11328359, upload-time = "2025-06-05T03:27:06.431Z" },
+    { url = "https://files.pythonhosted.org/packages/2a/b3/463bfe819ed60fb7e7ddffb4ae2ee04b887b3444feee6c19437b8f834837/pandas-2.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:213cd63c43263dbb522c1f8a7c9d072e25900f6975596f883f4bebd77295d4f3", size = 12024789, upload-time = "2025-06-05T03:27:09.875Z" },
+    { url = "https://files.pythonhosted.org/packages/04/0c/e0704ccdb0ac40aeb3434d1c641c43d05f75c92e67525df39575ace35468/pandas-2.3.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:1d2b33e68d0ce64e26a4acc2e72d747292084f4e8db4c847c6f5f6cbe56ed6d8", size = 12480734, upload-time = "2025-06-06T00:00:22.246Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/df/815d6583967001153bb27f5cf075653d69d51ad887ebbf4cfe1173a1ac58/pandas-2.3.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:430a63bae10b5086995db1b02694996336e5a8ac9a96b4200572b413dfdfccb9", size = 13223381, upload-time = "2025-06-05T03:27:15.641Z" },
+    { url = "https://files.pythonhosted.org/packages/79/88/ca5973ed07b7f484c493e941dbff990861ca55291ff7ac67c815ce347395/pandas-2.3.0-cp313-cp313-win_amd64.whl", hash = "sha256:4930255e28ff5545e2ca404637bcc56f031893142773b3468dc021c6c32a1390", size = 10970135, upload-time = "2025-06-05T03:27:24.131Z" },
+    { url = "https://files.pythonhosted.org/packages/24/fb/0994c14d1f7909ce83f0b1fb27958135513c4f3f2528bde216180aa73bfc/pandas-2.3.0-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:f925f1ef673b4bd0271b1809b72b3270384f2b7d9d14a189b12b7fc02574d575", size = 12141356, upload-time = "2025-06-05T03:27:34.547Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/a2/9b903e5962134497ac4f8a96f862ee3081cb2506f69f8e4778ce3d9c9d82/pandas-2.3.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:e78ad363ddb873a631e92a3c063ade1ecfb34cae71e9a2be6ad100f875ac1042", size = 11474674, upload-time = "2025-06-05T03:27:39.448Z" },
+    { url = "https://files.pythonhosted.org/packages/81/3a/3806d041bce032f8de44380f866059437fb79e36d6b22c82c187e65f765b/pandas-2.3.0-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:951805d146922aed8357e4cc5671b8b0b9be1027f0619cea132a9f3f65f2f09c", size = 11439876, upload-time = "2025-06-05T03:27:43.652Z" },
+    { url = "https://files.pythonhosted.org/packages/15/aa/3fc3181d12b95da71f5c2537c3e3b3af6ab3a8c392ab41ebb766e0929bc6/pandas-2.3.0-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a881bc1309f3fce34696d07b00f13335c41f5f5a8770a33b09ebe23261cfc67", size = 11966182, upload-time = "2025-06-05T03:27:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/37/e7/e12f2d9b0a2c4a2cc86e2aabff7ccfd24f03e597d770abfa2acd313ee46b/pandas-2.3.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:e1991bbb96f4050b09b5f811253c4f3cf05ee89a589379aa36cd623f21a31d6f", size = 12547686, upload-time = "2025-06-06T00:00:26.142Z" },
+    { url = "https://files.pythonhosted.org/packages/39/c2/646d2e93e0af70f4e5359d870a63584dacbc324b54d73e6b3267920ff117/pandas-2.3.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:bb3be958022198531eb7ec2008cfc78c5b1eed51af8600c6c5d9160d89d8d249", size = 13231847, upload-time = "2025-06-05T03:27:51.465Z" },
+    { url = "https://files.pythonhosted.org/packages/38/86/d786690bd1d666d3369355a173b32a4ab7a83053cbb2d6a24ceeedb31262/pandas-2.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9efc0acbbffb5236fbdf0409c04edce96bec4bdaa649d49985427bd1ec73e085", size = 11552206, upload-time = "2025-06-06T00:00:29.501Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/2f/99f581c1c5b013fcfcbf00a48f5464fb0105da99ea5839af955e045ae3ab/pandas-2.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:75651c14fde635e680496148a8526b328e09fe0572d9ae9b638648c46a544ba3", size = 10796831, upload-time = "2025-06-06T00:00:49.502Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/be/3ee7f424367e0f9e2daee93a3145a18b703fbf733ba56e1cf914af4b40d1/pandas-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf5be867a0541a9fb47a4be0c5790a4bccd5b77b92f0a59eeec9375fafc2aa14", size = 11736943, upload-time = "2025-06-06T00:01:15.992Z" },
+    { url = "https://files.pythonhosted.org/packages/83/95/81c7bb8f1aefecd948f80464177a7d9a1c5e205c5a1e279984fdacbac9de/pandas-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84141f722d45d0c2a89544dd29d35b3abfc13d2250ed7e68394eda7564bd6324", size = 12366679, upload-time = "2025-06-06T00:01:36.162Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/7a/54cf52fb454408317136d683a736bb597864db74977efee05e63af0a7d38/pandas-2.3.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:f95a2aef32614ed86216d3c450ab12a4e82084e8102e355707a1d96e33d51c34", size = 12924072, upload-time = "2025-06-06T00:01:44.243Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/bf/25018e431257f8a42c173080f9da7c592508269def54af4a76ccd1c14420/pandas-2.3.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e0f51973ba93a9f97185049326d75b942b9aeb472bec616a129806facb129ebb", size = 13696374, upload-time = "2025-06-06T00:02:14.346Z" },
+    { url = "https://files.pythonhosted.org/packages/db/84/5ffd2c447c02db56326f5c19a235a747fae727e4842cc20e1ddd28f990f6/pandas-2.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:b198687ca9c8529662213538a9bb1e60fa0bf0f6af89292eb68fea28743fcd5a", size = 11104735, upload-time = "2025-06-06T00:02:21.088Z" },
 ]

 [[package]]
@@ -1182,27 +1182,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -44,11 +44,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -462,7 +462,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "0.5.2"
+version = "0.5.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "langchain-core", marker = "python_full_version >= '3.11'" },
@@ -472,14 +472,14 @@ dependencies = [
    { name = "pydantic", marker = "python_full_version >= '3.11'" },
    { name = "xxhash", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/c0/18/1e255fc8c36ff5056d797d83c9ca9fd926683ace294a9ba38c4b40599237/langgraph-0.5.2.tar.gz", hash = "sha256:393b767e9d6a129636a9df36edc492499336c71e4ee268e64b9d1299d30e636c", size = 442564, upload-time = "2025-07-09T19:15:20.219Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/db/864d8e6c6e921f27b357980d0cfca847366238c1bb8a6bffd766f651004e/langgraph-0.5.1.tar.gz", hash = "sha256:312d341979e38034dde60e08df53505b8a196619df1266d6eacf6b002a0a65a8", size = 437339, upload-time = "2025-07-02T21:15:56.581Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/3b/44/6e6c41a3cc00d533dc91cc5f086862b1fccf34aa0ec9605a2cbd116c6ba0/langgraph-0.5.2-py3-none-any.whl", hash = "sha256:db6b8053bf99887957fe45ec27918f8819c4bba269afde88b538e00e9301a581", size = 143735, upload-time = "2025-07-09T19:15:18.733Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/fa/69e83057b7a6062c0785deccdd22610003611c16cac7b4218b4b87c4924a/langgraph-0.5.1-py3-none-any.whl", hash = "sha256:707f0cc0d2713011fff4578bf57de8226cd96bcc0679868be2f41eb0984bb5af", size = 143695, upload-time = "2025-07-02T21:15:55.148Z" },
 ]

 [[package]]
 name = "langgraph-api"
-version = "0.2.86"
+version = "0.2.78"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cloudpickle", marker = "python_full_version >= '3.11'" },
@@ -502,9 +502,9 @@ dependencies = [
    { name = "uvicorn", marker = "python_full_version >= '3.11'" },
    { name = "watchfiles", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a1/06/f8d6c1310772a8507dfa2c586bab8d0ab8b8cbe1f896106ee315af08fb1d/langgraph_api-0.2.86.tar.gz", hash = "sha256:220532a5a2232d32efef7e3b98be74ee6328d18f785e83949fa815ef2ac77f2f", size = 237417, upload-time = "2025-07-11T17:02:39.535Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/88/1aa91bede22d1393a53605ff13a57d6cb3ce2831eb250a8a8f814c548d2e/langgraph_api-0.2.78.tar.gz", hash = "sha256:37aad4fe764934f358dbb26d50b4acbf4180aac673499d1502b5b468cc7acba4", size = 233581, upload-time = "2025-07-02T19:11:01.154Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d2/48/e6b774e8cfe254694b768629c72004689d94d002a54e949c23e05b776eae/langgraph_api-0.2.86-py3-none-any.whl", hash = "sha256:b20ac26ef9c5323732012eed602290ca9ca268473341dcb3282b02ed6622ec8c", size = 192498, upload-time = "2025-07-11T17:02:38.199Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/76/46626d99c36fce0c1ee1e1581f54b29acbed5e9f2e7cf9a198c825547d91/langgraph_api-0.2.78-py3-none-any.whl", hash = "sha256:57abe7fff9763d6f4eaf4419d103f75e77dca6d271db3816777c04bd67db4449", size = 190222, upload-time = "2025-07-02T19:10:59.793Z" },
 ]

 [[package]]
@@ -616,7 +616,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx", marker = "python_full_version >= '3.11'" },
@@ -627,9 +627,9 @@ dependencies = [
    { name = "requests-toolbelt", marker = "python_full_version >= '3.11'" },
    { name = "zstandard", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -1180,27 +1180,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -74,7 +74,6 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
 - [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
@@ -180,7 +180,6 @@ def task(
        warnings.warn(
            "`retry` is deprecated and will be removed. Please use `retry_policy` instead.",
            category=LangGraphDeprecatedSinceV05,
-            stacklevel=2,
        )
        if retry_policy is None:
            retry_policy = retry  # type: ignore[assignment]
@@ -385,7 +384,6 @@ class entrypoint:
            warnings.warn(
                "`retry` is deprecated and will be removed. Please use `retry_policy` instead.",
                category=LangGraphDeprecatedSinceV05,
-                stacklevel=2,
            )
            if retry_policy is None:
                retry_policy = retry  # type: ignore[assignment]
@@ -794,7 +794,7 @@ class StateGraph(Generic[StateT, InputT, OutputT]):
        interrupt_after: All | list[str] | None = None,
        debug: bool = False,
        name: str | None = None,
-    ) -> CompiledStateGraph[StateT, InputT, OutputT]:
+    ) -> CompiledStateGraph[StateT, InputT]:
        """Compiles the state graph into a `CompiledStateGraph` object.

        The compiled graph implements the `Runnable` interface and can be invoked,
@@ -996,7 +996,7 @@ class CompiledStateGraph(
                writers=[ChannelWrite(write_entries)],
            )
        elif node is not None:
-            input_schema = node.input if node else self.builder.state_schema
+            input_schema = node.input if node else self.builder._state_schema
            input_channels = list(self.builder.schemas[input_schema])
            is_single_input = len(input_channels) == 1 and "__root__" in input_channels
            if input_schema in self.schema_to_mapper:
@@ -1,6 +1,6 @@
 from __future__ import annotations

-from abc import abstractmethod
+from abc import ABC, abstractmethod
 from collections.abc import AsyncIterator, Iterator, Sequence
 from typing import Any, Generic

@@ -14,7 +14,7 @@ from langgraph.typing import InputT, OutputT, StateT


 # TODO: remove Runnable inheritance here!
-class PregelProtocol(Runnable[InputT, Any], Generic[StateT, InputT, OutputT]):
+class PregelProtocol(Runnable[InputT, Any], Generic[StateT, InputT, OutputT], ABC):
    @abstractmethod
    def with_config(
        self, config: RunnableConfig | None = None, **kwargs: Any
@@ -190,7 +190,7 @@ class PregelRunner:
                            tb = tb.tb_next
                        exc.__traceback__ = tb
                    raise
-            if not futures:  # maybe `t` scheduled another task
+            if not futures:  # maybe `t` schuduled another task
                return
            else:
                tasks = ()  # don't reschedule this task
@@ -326,7 +326,7 @@ class PregelRunner:
                            tb = tb.tb_next
                        exc.__traceback__ = tb
                    raise
-            if not futures:  # maybe `t` scheduled another task
+            if not futures:  # maybe `t` schuduled another task
                return
            else:
                tasks = ()  # don't reschedule this task
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "0.5.3"
+version = "0.5.2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.9"
@@ -181,11 +181,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -1192,7 +1192,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "0.5.3"
+version = "0.5.2"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -1271,7 +1271,7 @@ dev = [

 [[package]]
 name = "langgraph-api"
-version = "0.2.86"
+version = "0.2.78"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cloudpickle", marker = "python_full_version >= '3.11'" },
@@ -1294,9 +1294,9 @@ dependencies = [
    { name = "uvicorn", marker = "python_full_version >= '3.11'" },
    { name = "watchfiles", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a1/06/f8d6c1310772a8507dfa2c586bab8d0ab8b8cbe1f896106ee315af08fb1d/langgraph_api-0.2.86.tar.gz", hash = "sha256:220532a5a2232d32efef7e3b98be74ee6328d18f785e83949fa815ef2ac77f2f", size = 237417, upload-time = "2025-07-11T17:02:39.535Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/88/1aa91bede22d1393a53605ff13a57d6cb3ce2831eb250a8a8f814c548d2e/langgraph_api-0.2.78.tar.gz", hash = "sha256:37aad4fe764934f358dbb26d50b4acbf4180aac673499d1502b5b468cc7acba4", size = 233581, upload-time = "2025-07-02T19:11:01.154Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d2/48/e6b774e8cfe254694b768629c72004689d94d002a54e949c23e05b776eae/langgraph_api-0.2.86-py3-none-any.whl", hash = "sha256:b20ac26ef9c5323732012eed602290ca9ca268473341dcb3282b02ed6622ec8c", size = 192498, upload-time = "2025-07-11T17:02:38.199Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/76/46626d99c36fce0c1ee1e1581f54b29acbed5e9f2e7cf9a198c825547d91/langgraph_api-0.2.78-py3-none-any.whl", hash = "sha256:57abe7fff9763d6f4eaf4419d103f75e77dca6d271db3816777c04bd67db4449", size = 190222, upload-time = "2025-07-02T19:10:59.793Z" },
 ]

 [[package]]
@@ -1331,7 +1331,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.21"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -1394,16 +1394,16 @@ dev = [

 [[package]]
 name = "langgraph-cli"
-version = "0.3.4"
+version = "0.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
    { name = "click", version = "8.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
    { name = "langgraph-sdk", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/fe/ee/41f54032b2ab64c06e66e7f5e7a6c22d9159f2bff6bf08a38c9f11f84753/langgraph_cli-0.3.4.tar.gz", hash = "sha256:6300df4fc6f7106fd5fcdba2cbec9e8b1158daa6760d41333d1b3b5999280ad0", size = 728156, upload-time = "2025-07-08T19:52:24.687Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f0/c2/53aaae208a3a08f727ef9d03edfd8f499403e017fc451c8ca5b52e95c930/langgraph_cli-0.3.3.tar.gz", hash = "sha256:120adc44064786bb11f1376a7b324b2125276a2e2c3a04bbfab7b8c1622ad4d7", size = 722842, upload-time = "2025-06-13T20:17:52.639Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/9c/310dae8c638477e2f0e5744726d4b283878c1e11639fa693bf24b23cf7ac/langgraph_cli-0.3.4-py3-none-any.whl", hash = "sha256:b3ac9fbc67cec5d0295c23a9e7a9014f34502639fb52b2d02c89b3bb2ba36c33", size = 36525, upload-time = "2025-07-08T19:52:23.351Z" },
+    { url = "https://files.pythonhosted.org/packages/50/aa/f52742987a30f9f2d80c00e1caccb310185dd511d07b56c3e611fe31adb5/langgraph_cli-0.3.3-py3-none-any.whl", hash = "sha256:a0c6b04d6a37191431ede17f7a358f1944c6e5ac9e1b7d2004b9f973fe940094", size = 35880, upload-time = "2025-06-13T20:17:51.437Z" },
 ]

 [package.optional-dependencies]
@@ -1463,7 +1463,7 @@ wheels = [

 [[package]]
 name = "langgraph-sdk"
-version = "0.1.73"
+version = "0.1.72"
 source = { editable = "../sdk-py" }
 dependencies = [
    { name = "httpx" },
@@ -1489,7 +1489,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -1500,9 +1500,9 @@ dependencies = [
    { name = "requests-toolbelt" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -2821,27 +2821,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -3076,11 +3076,11 @@ wheels = [

 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20250708"
+version = "2.9.0.20250516"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c9/95/6bdde7607da2e1e99ec1c1672a759d42f26644bbacf939916e086db34870/types_python_dateutil-2.9.0.20250708.tar.gz", hash = "sha256:ccdbd75dab2d6c9696c350579f34cffe2c281e4c5f27a585b2a2438dd1d5c8ab", size = 15834, upload-time = "2025-07-08T03:14:03.382Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ef/88/d65ed807393285204ab6e2801e5d11fbbea811adcaa979a2ed3b67a5ef41/types_python_dateutil-2.9.0.20250516.tar.gz", hash = "sha256:13e80d6c9c47df23ad773d54b2826bd52dbbb41be87c3f339381c1700ad21ee5", size = 13943, upload-time = "2025-05-16T03:06:58.385Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/72/52/43e70a8e57fefb172c22a21000b03ebcc15e47e97f5cb8495b9c2832efb4/types_python_dateutil-2.9.0.20250708-py3-none-any.whl", hash = "sha256:4d6d0cc1cc4d24a2dc3816024e502564094497b713f7befda4d5bc7a8e3fd21f", size = 17724, upload-time = "2025-07-08T03:14:02.593Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/3f/b0e8db149896005adc938a1e7f371d6d7e9eca4053a29b108978ed15e0c2/types_python_dateutil-2.9.0.20250516-py3-none-any.whl", hash = "sha256:2b2b3f57f9c6a61fba26a9c0ffb9ea5681c9b83e69cd897c6b5f668d9c0cab93", size = 14356, upload-time = "2025-05-16T03:06:57.249Z" },
 ]

 [[package]]
@@ -80,7 +80,7 @@ class HumanResponse(TypedDict):
            - "ignore": Skips/ignores the current step
            - "response": Provides text feedback or instructions
            - "edit": Modifies the current state/content
-        args: The response payload:
+        arg: The response payload:
            - None: For ignore/accept actions
            - str: For text responses
            - ActionRequest: For edit actions with updated content
@@ -1,36 +1,3 @@
-"""Tool execution node for LangGraph workflows.
-
-This module provides prebuilt functionality for executing tools in LangGraph.
-
-Tools are functions that models can call to interact with external systems,
-APIs, databases, or perform computations.
-
-The module implements several key design patterns:
- Parallel execution of multiple tool calls for efficiency
- Robust error handling with customizable error messages
- State injection for tools that need access to graph state
- Store injection for tools that need persistent storage
- Command-based state updates for advanced control flow
-
-Key Components:
-    ToolNode: Main class for executing tools in LangGraph workflows
-    InjectedState: Annotation for injecting graph state into tools
-    InjectedStore: Annotation for injecting persistent store into tools
-    tools_condition: Utility function for conditional routing based on tool calls
-
-Typical Usage:
-    ```python
-    from langchain_core.tools import tool
-    from langgraph.prebuilt import ToolNode
-
-    @tool
-    def my_tool(x: int) -> str:
-        return f"Result: {x}"
-
-    tool_node = ToolNode([my_tool])
-    ```
-"""
-
 import asyncio
 import inspect
 import json
@@ -82,24 +49,6 @@ TOOL_CALL_ERROR_TEMPLATE = "Error: {error}\n Please fix your mistakes."


 def msg_content_output(output: Any) -> Union[str, list[dict]]:
-    """Convert tool output to valid message content format.
-
-    LangChain ToolMessages accept either string content or a list of content blocks.
-    This function ensures tool outputs are properly formatted for message consumption
-    by attempting to preserve structured data when possible, falling back to JSON
-    serialization or string conversion.
-
-    Args:
-        output: The raw output from a tool execution. Can be any type.
-
-    Returns:
-        Either a string representation of the output or a list of content blocks
-        if the output is already in the correct format for structured content.
-
-    Note:
-        This function prioritizes backward compatibility by defaulting to JSON
-        serialization rather than supporting all possible message content formats.
-    """
    if isinstance(output, str):
        return output
    elif isinstance(output, list) and all(
@@ -109,10 +58,9 @@ def msg_content_output(output: Any) -> Union[str, list[dict]]:
        ]
    ):
        return output
-    # Technically a list of strings is also valid message content, but it's
-    # not currently well tested that all chat models support this.
-    # And for backwards compatibility we want to make sure we don't break
-    # any existing ToolNode usage.
+    # Technically a list of strings is also valid message content but it's not currently
+    # well tested that all chat models support this. And for backwards compatibility
+    # we want to make sure we don't break any existing ToolNode usage.
    else:
        try:
            return json.dumps(output, ensure_ascii=False)
@@ -130,30 +78,6 @@ def _handle_tool_error(
        tuple[type[Exception], ...],
    ],
 ) -> str:
-    """Generate error message content based on exception handling configuration.
-
-    This function centralizes error message generation logic, supporting different
-    error handling strategies configured via the ToolNode's handle_tool_errors
-    parameter.
-
-    Args:
-        e: The exception that occurred during tool execution.
-        flag: Configuration for how to handle the error. Can be:
-            - bool: If True, use default error template
-            - str: Use this string as the error message
-            - Callable: Call this function with the exception to get error message
-            - tuple: Not used in this context (handled by caller)
-
-    Returns:
-        A string containing the error message to include in the ToolMessage.
-
-    Raises:
-        ValueError: If flag is not one of the supported types.
-
-    Note:
-        The tuple case is handled by the caller through exception type checking,
-        not by this function directly.
-    """
    if isinstance(flag, (bool, tuple)):
        content = TOOL_CALL_ERROR_TEMPLATE.format(error=repr(e))
    elif isinstance(flag, str):
@@ -169,29 +93,6 @@ def _handle_tool_error(


 def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception], ...]:
-    """Infer exception types handled by a custom error handler function.
-
-    This function analyzes the type annotations of a custom error handler to determine
-    which exception types it's designed to handle. This enables type-safe error handling
-    where only specific exceptions are caught and processed by the handler.
-
-    Args:
-        handler: A callable that takes an exception and returns an error message string.
-                The first parameter (after self/cls if present) should be type-annotated
-                with the exception type(s) to handle.
-
-    Returns:
-        A tuple of exception types that the handler can process. Returns (Exception,)
-        if no specific type information is available for backward compatibility.
-
-    Raises:
-        ValueError: If the handler's annotation contains non-Exception types or
-                   if Union types contain non-Exception types.
-
-    Note:
-        This function supports both single exception types and Union types for
-        handlers that need to handle multiple exception types differently.
-    """
    sig = inspect.signature(handler)
    params = list(sig.parameters.values())
    if params:
@@ -210,9 +111,8 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
                    return tuple(args)
                else:
                    raise ValueError(
-                        "All types in the error handler error annotation must be "
-                        "Exception types. For example, "
-                        "`def custom_handler(e: Union[ValueError, TypeError])`. "
+                        "All types in the error handler error annotation must be Exception types. "
+                        "For example, `def custom_handler(e: Union[ValueError, TypeError])`. "
                        f"Got '{first_param.annotation}' instead."
                    )

@@ -221,16 +121,13 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
                return (exception_type,)
            else:
                raise ValueError(
-                    f"Arbitrary types are not supported in the error handler "
-                    f"signature. Please annotate the error with either a "
-                    f"specific Exception type or a union of Exception types. "
-                    "For example, `def custom_handler(e: ValueError)` or "
-                    "`def custom_handler(e: Union[ValueError, TypeError])`. "
+                    f"Arbitrary types are not supported in the error handler signature. "
+                    "Please annotate the error with either a specific Exception type or a union of Exception types. "
+                    "For example, `def custom_handler(e: ValueError)` or `def custom_handler(e: Union[ValueError, TypeError])`. "
                    f"Got '{exception_type}' instead."
                )

-    # If no type information is available, return (Exception,)
-    # for backwards compatibility.
+    # If no type information is available, return (Exception,) for backwards compatibility.
    return (Exception,)


@@ -244,72 +141,60 @@ class ToolNode(RunnableCallable):
    Tool calls can also be passed directly as a list of `ToolCall` dicts.

    Args:
-        tools: A sequence of tools that can be invoked by this node. Tools can be
-            BaseTool instances or plain functions that will be converted to tools.
-        name: The name identifier for this node in the graph. Used for debugging
-            and visualization. Defaults to "tools".
-        tags: Optional metadata tags to associate with the node for filtering
-            and organization. Defaults to None.
-        handle_tool_errors: Configuration for error handling during tool execution.
-            Defaults to True. Supports multiple strategies:
+        tools: A sequence of tools that can be invoked by the ToolNode.
+        name: The name of the ToolNode in the graph. Defaults to "tools".
+        tags: Optional tags to associate with the node. Defaults to None.
+        handle_tool_errors: How to handle tool errors raised by tools inside the node. Defaults to True.
+            Must be one of the following:

-            - True: Catch all errors and return a ToolMessage with the default
-              error template containing the exception details.
-            - str: Catch all errors and return a ToolMessage with this custom
-              error message string.
-            - tuple[type[Exception], ...]: Only catch exceptions of the specified
-              types and return default error messages for them.
-            - Callable[..., str]: Catch exceptions matching the callable's signature
-              and return the string result of calling it with the exception.
-            - False: Disable error handling entirely, allowing exceptions to propagate.
+            - True: all errors will be caught and
+                a ToolMessage with a default error message (TOOL_CALL_ERROR_TEMPLATE) will be returned.
+            - str: all errors will be caught and
+                a ToolMessage with the string value of 'handle_tool_errors' will be returned.
+            - tuple[type[Exception], ...]: exceptions in the tuple will be caught and
+                a ToolMessage with a default error message (TOOL_CALL_ERROR_TEMPLATE) will be returned.
+            - Callable[..., str]: exceptions from the signature of the callable will be caught and
+                a ToolMessage with the string value of the result of the 'handle_tool_errors' callable will be returned.
+            - False: none of the errors raised by the tools will be caught
+        messages_key: The state key in the input that contains the list of messages.
+            The same key will be used for the output from the ToolNode.
+            Defaults to "messages".

-        messages_key: The key in the state dictionary that contains the message list.
-            This same key will be used for the output ToolMessages. Defaults to "messages".
+    The `ToolNode` is roughly analogous to:

-    Example:
-        Basic usage with simple tools:
+    ```python
+    tools_by_name = {tool.name: tool for tool in tools}
+    def tool_node(state: dict):
+        result = []
+        for tool_call in state["messages"][-1].tool_calls:
+            tool = tools_by_name[tool_call["name"]]
+            observation = tool.invoke(tool_call["args"])
+            result.append(ToolMessage(content=observation, tool_call_id=tool_call["id"]))
+        return {"messages": result}
+    ```

-        ```python
-        from langgraph.prebuilt import ToolNode
-        from langchain_core.tools import tool
+    Tool calls can also be passed directly to a ToolNode. This can be useful when using
+    the Send API, e.g., in a conditional edge:

-        @tool
-        def calculator(a: int, b: int) -> int:
-            \"\"\"Add two numbers.\"\"\"
-            return a + b
+    ```python
+    def example_conditional_edge(state: dict) -> List[Send]:
+        tool_calls = state["messages"][-1].tool_calls
+        # If tools rely on state or store variables (whose values are not generated
+        # directly by a model), you can inject them into the tool calls.
+        tool_calls = [
+            tool_node.inject_tool_args(call, state, store)
+            for call in last_message.tool_calls
+        ]
+        return [Send("tools", [tool_call]) for tool_call in tool_calls]
+    ```

-        tool_node = ToolNode([calculator])
-        ```
-
-        Custom error handling:
-
-        ```python
-        def handle_math_errors(e: ZeroDivisionError) -> str:
-            return "Cannot divide by zero!"
-
-        tool_node = ToolNode([calculator], handle_tool_errors=handle_math_errors)
-        ```
-
-        Direct tool call execution:
-
-        ```python
-        tool_calls = [{"name": "calculator", "args": {"a": 5, "b": 3}, "id": "1", "type": "tool_call"}]
-        result = tool_node.invoke(tool_calls)
-        ```
-
-    Note:
-        The ToolNode expects input in one of three formats:
-        1. A dictionary with a messages key containing a list of messages
-        2. A list of messages directly
-        3. A list of tool call dictionaries
-
-        When using message formats, the last message must be an AIMessage with
-        tool_calls populated. The node automatically extracts and processes these
-        tool calls concurrently.
-
-        For advanced use cases involving state injection or store access, tools
-        can be annotated with InjectedState or InjectedStore to receive graph
-        context automatically.
+    Important:
+        - The input state can be one of the following:
+            - A dict with a messages key containing a list of messages.
+            - A list of messages.
+            - A list of tool calls.
+        - If operating on a message list, the last message must be an `AIMessage` with
+            `tool_calls` populated.
    """

    name: str = "ToolNode"
@@ -325,15 +210,6 @@ class ToolNode(RunnableCallable):
        ] = True,
        messages_key: str = "messages",
    ) -> None:
-        """Initialize the ToolNode with the provided tools and configuration.
-
-        Args:
-            tools: Sequence of tools to make available for execution.
-            name: Node name for graph identification.
-            tags: Optional metadata tags.
-            handle_tool_errors: Error handling configuration.
-            messages_key: State key containing messages.
-        """
        super().__init__(self._func, self._afunc, name=name, tags=tags, trace=False)
        self.tools_by_name: dict[str, BaseTool] = {}
        self.tool_to_state_args: dict[str, dict[str, Optional[str]]] = {}
@@ -665,38 +541,20 @@ class ToolNode(RunnableCallable):
        ],
        store: Optional[BaseStore],
    ) -> ToolCall:
-        """Inject graph state and store into tool call arguments.
+        """Injects the state and store into the tool call.

-        This method enables tools to access graph context that should not be controlled
-        by the model. Tools can declare dependencies on graph state or persistent storage
-        using InjectedState and InjectedStore annotations. This method automatically
-        identifies these dependencies and injects the appropriate values.
-
-        The injection process preserves the original tool call structure while adding
-        the necessary context arguments. This allows tools to be both model-callable
-        and context-aware without exposing internal state management to the model.
+        Tool arguments with types annotated as `InjectedState` and `InjectedStore` are
+        ignored in tool schemas for generation purposes. This method injects them into
+        tool calls for tool invocation.

        Args:
-            tool_call: The tool call dictionary to augment with injected arguments.
-                Must contain 'name', 'args', 'id', and 'type' fields.
-            input: The current graph state to inject into tools requiring state access.
-                Can be a message list, state dictionary, or BaseModel instance.
-            store: The persistent store instance to inject into tools requiring storage.
-                Will be None if no store is configured for the graph.
+            tool_call: The tool call to inject state and store into.
+            input: The input state
+                to inject.
+            store: The store to inject.

        Returns:
-            A new ToolCall dictionary with the same structure as the input but with
-            additional arguments injected based on the tool's annotation requirements.
-
-        Raises:
-            ValueError: If a tool requires store injection but no store is provided,
-                       or if state injection requirements cannot be satisfied.
-
-        Note:
-            This method is automatically called during tool execution but can also
-            be used manually when working with the Send API or custom routing logic.
-            The injection is performed on a copy of the tool call to avoid mutating
-            the original.
+            ToolCall: The tool call with injected state and store.
        """
        if tool_call["name"] not in self.tools_by_name:
            return tool_call
@@ -767,66 +625,55 @@ def tools_condition(
    state: Union[list[AnyMessage], dict[str, Any], BaseModel],
    messages_key: str = "messages",
 ) -> Literal["tools", "__end__"]:
-    """Conditional routing function for tool-calling workflows.
+    """Use in the conditional_edge to route to the ToolNode if the last message

-    This utility function implements the standard conditional logic for ReAct-style
-    agents: if the last AI message contains tool calls, route to the tool execution
-    node; otherwise, end the workflow. This pattern is fundamental to most tool-calling
-    agent architectures.
-
-    The function handles multiple state formats commonly used in LangGraph applications,
-    making it flexible for different graph designs while maintaining consistent behavior.
+    has tool calls. Otherwise, route to the end.

    Args:
-        state: The current graph state to examine for tool calls. Supported formats:
-            - List of messages (for MessageGraph)
-            - Dictionary containing a messages key (for StateGraph)
-            - BaseModel instance with a messages attribute
-        messages_key: The key or attribute name containing the message list in the state.
-            This allows customization for graphs using different state schemas.
-            Defaults to "messages".
+        state: The state to check for
+            tool calls. Must have a list of messages (MessageGraph) or have the
+            "messages" key (StateGraph).

    Returns:
-        Either "tools" if tool calls are present in the last AI message, or "__end__"
-        to terminate the workflow. These are the standard routing destinations for
-        tool-calling conditional edges.
+        The next node to route to.

-    Raises:
-        ValueError: If no messages can be found in the provided state format.

-    Example:
-        Basic usage in a ReAct agent:
+    Examples:
+        Create a custom ReAct-style agent with tools.

-        ```python
-        from langgraph.graph import StateGraph
-        from langgraph.prebuilt import ToolNode, tools_condition
-        from typing_extensions import TypedDict
-
-        class State(TypedDict):
-            messages: list
-
-        graph = StateGraph(State)
-        graph.add_node("llm", call_model)
-        graph.add_node("tools", ToolNode([my_tool]))
-        graph.add_conditional_edges(
-            "llm",
-            tools_condition,  # Routes to "tools" or "__end__"
-            {"tools": "tools", "__end__": "__end__"}
-        )
+        ```pycon
+        >>> from langchain_anthropic import ChatAnthropic
+        >>> from langchain_core.tools import tool
+        ...
+        >>> from langgraph.graph import StateGraph
+        >>> from langgraph.prebuilt import ToolNode, tools_condition
+        >>> from langgraph.graph.message import add_messages
+        ...
+        >>> from typing import Annotated
+        >>> from typing_extensions import TypedDict
+        ...
+        >>> @tool
+        >>> def divide(a: float, b: float) -> int:
+        ...     \"\"\"Return a / b.\"\"\"
+        ...     return a / b
+        ...
+        >>> llm = ChatAnthropic(model="claude-3-haiku-20240307")
+        >>> tools = [divide]
+        ...
+        >>> class State(TypedDict):
+        ...     messages: Annotated[list, add_messages]
+        >>>
+        >>> graph_builder = StateGraph(State)
+        >>> graph_builder.add_node("tools", ToolNode(tools))
+        >>> graph_builder.add_node("chatbot", lambda state: {"messages":llm.bind_tools(tools).invoke(state['messages'])})
+        >>> graph_builder.add_edge("tools", "chatbot")
+        >>> graph_builder.add_conditional_edges(
+        ...     "chatbot", tools_condition
+        ... )
+        >>> graph_builder.set_entry_point("chatbot")
+        >>> graph = graph_builder.compile()
+        >>> graph.invoke({"messages": {"role": "user", "content": "What's 329993 divided by 13662?"}})
        ```
-
-        Custom messages key:
-
-        ```python
-        def custom_condition(state):
-            return tools_condition(state, messages_key="chat_history")
-        ```
-
-    Note:
-        This function is designed to work seamlessly with ToolNode and standard
-        LangGraph patterns. It expects the last message to be an AIMessage when
-        tool calls are present, which is the standard output format for tool-calling
-        language models.
    """
    if isinstance(state, list):
        ai_message = state[-1]
@@ -842,18 +689,16 @@ def tools_condition(


 class InjectedState(InjectedToolArg):
-    """Annotation for injecting graph state into tool arguments.
+    """Annotation for a Tool arg that is meant to be populated with the graph state.

-    This annotation enables tools to access graph state without exposing state
-    management details to the language model. Tools annotated with InjectedState
-    receive state data automatically during execution while remaining invisible
-    to the model's tool-calling interface.
+    Any Tool argument annotated with InjectedState will be hidden from a tool-calling
+    model, so that the model doesn't attempt to generate the argument. If using
+    ToolNode, the appropriate graph state field will be automatically injected into
+    the model-generated tool args.

    Args:
-        field: Optional key to extract from the state dictionary. If None, the entire
-            state is injected. If specified, only that field's value is injected.
-            This allows tools to request specific state components rather than
-            processing the full state structure.
+        field: The key from state to insert. If None, the entire state is expected to
+            be passed in.

    Example:
        ```python
@@ -900,15 +745,6 @@ class InjectedState(InjectedToolArg):
            ToolMessage(content='bar2', name='foo_tool', tool_call_id='2')
        ]
        ```
-
-    Note:
-        - InjectedState arguments are automatically excluded from tool schemas
-          presented to language models
-        - ToolNode handles the injection process during execution
-        - Tools can mix regular arguments (controlled by the model) with injected
-          arguments (controlled by the system)
-        - State injection occurs after the model generates tool calls but before
-          tool execution
    """  # noqa: E501

    def __init__(self, field: Optional[str] = None) -> None:
@@ -916,97 +752,61 @@ class InjectedState(InjectedToolArg):


 class InjectedStore(InjectedToolArg):
-    """Annotation for injecting persistent store into tool arguments.
+    """Annotation for a Tool arg that is meant to be populated with LangGraph store.

-    This annotation enables tools to access LangGraph's persistent storage system
-    without exposing storage details to the language model. Tools annotated with
-    InjectedStore receive the store instance automatically during execution while
-    remaining invisible to the model's tool-calling interface.
-
-    The store provides persistent, cross-session data storage that tools can use
-    for maintaining context, user preferences, or any other data that needs to
-    persist beyond individual workflow executions.
+    Any Tool argument annotated with InjectedStore will be hidden from a tool-calling
+    model, so that the model doesn't attempt to generate the argument. If using
+    ToolNode, the appropriate store field will be automatically injected into
+    the model-generated tool args. Note: if a graph is compiled with a store object,
+    the store will be automatically propagated to the tools with InjectedStore args
+    when using ToolNode.

    !!! Warning
        `InjectedStore` annotation requires `langchain-core >= 0.3.8`

    Example:
        ```python
+        from typing import Any
        from typing_extensions import Annotated
+
+        from langchain_core.messages import AIMessage
        from langchain_core.tools import tool
+
        from langgraph.store.memory import InMemoryStore
        from langgraph.prebuilt import InjectedStore, ToolNode

-        @tool
-        def save_preference(
-            key: str,
-            value: str,
-            store: Annotated[Any, InjectedStore()]
-        ) -> str:
-            \"\"\"Save user preference to persistent storage.\"\"\"
-            store.put(("preferences",), key, value)
-            return f"Saved {key} = {value}"
-
-        @tool
-        def get_preference(
-            key: str,
-            store: Annotated[Any, InjectedStore()]
-        ) -> str:
-            \"\"\"Retrieve user preference from persistent storage.\"\"\"
-            result = store.get(("preferences",), key)
-            return result.value if result else "Not found"
-        ```
-
-        Usage with ToolNode and graph compilation:
-
-        ```python
-        from langgraph.graph import StateGraph
-        from langgraph.store.memory import InMemoryStore
-
        store = InMemoryStore()
-        tool_node = ToolNode([save_preference, get_preference])
+        store.put(("values",), "foo", {"bar": 2})

-        graph = StateGraph(State)
-        graph.add_node("tools", tool_node)
-        compiled_graph = graph.compile(store=store)  # Store is injected automatically
+        @tool
+        def store_tool(x: int, my_store: Annotated[Any, InjectedStore()]) -> str:
+            '''Do something with store.'''
+            stored_value = my_store.get(("values",), "foo").value["bar"]
+            return stored_value + x
+
+        node = ToolNode([store_tool])
+
+        tool_call = {"name": "store_tool", "args": {"x": 1}, "id": "1", "type": "tool_call"}
+        state = {
+            "messages": [AIMessage("", tool_calls=[tool_call])],
+        }
+
+        node.invoke(state, store=store)
        ```

-        Cross-session persistence:
-
-        ```python
-        # First session
-        result1 = graph.invoke({"messages": [HumanMessage("Save my favorite color as blue")]})
-
-        # Later session - data persists
-        result2 = graph.invoke({"messages": [HumanMessage("What's my favorite color?")]})
+        ```pycon
+        {
+            "messages": [
+                ToolMessage(content='3', name='store_tool', tool_call_id='1'),
+            ]
+        }
        ```
-
-    Note:
-        - InjectedStore arguments are automatically excluded from tool schemas
-          presented to language models
-        - The store instance is automatically injected by ToolNode during execution
-        - Tools can access namespaced storage using the store's get/put methods
-        - Store injection requires the graph to be compiled with a store instance
-        - Multiple tools can share the same store instance for data consistency
    """  # noqa: E501


 def _is_injection(
    type_arg: Any, injection_type: Union[Type[InjectedState], Type[InjectedStore]]
 ) -> bool:
-    """Check if a type argument represents an injection annotation.
-
-    This utility function determines whether a type annotation indicates that
-    an argument should be injected with state or store data. It handles both
-    direct annotations and nested annotations within Union or Annotated types.
-
-    Args:
-        type_arg: The type argument to check for injection annotations.
-        injection_type: The injection type to look for (InjectedState or InjectedStore).
-
-    Returns:
-        True if the type argument contains the specified injection annotation.
-    """
    if isinstance(type_arg, injection_type) or (
        isinstance(type_arg, type) and issubclass(type_arg, injection_type)
    ):
@@ -1018,19 +818,6 @@ def _is_injection(


 def _get_state_args(tool: BaseTool) -> dict[str, Optional[str]]:
-    """Extract state injection mappings from tool annotations.
-
-    This function analyzes a tool's input schema to identify arguments that should
-    be injected with graph state. It processes InjectedState annotations to build
-    a mapping of tool argument names to state field names.
-
-    Args:
-        tool: The tool to analyze for state injection requirements.
-
-    Returns:
-        A dictionary mapping tool argument names to state field names. If a field
-        name is None, the entire state should be injected for that argument.
-    """
    full_schema = tool.get_input_schema()
    tool_args_to_state_fields: dict = {}

@@ -1057,22 +844,6 @@ def _get_state_args(tool: BaseTool) -> dict[str, Optional[str]]:


 def _get_store_arg(tool: BaseTool) -> Optional[str]:
-    """Extract store injection argument from tool annotations.
-
-    This function analyzes a tool's input schema to identify the argument that
-    should be injected with the graph store. Only one store argument is supported
-    per tool.
-
-    Args:
-        tool: The tool to analyze for store injection requirements.
-
-    Returns:
-        The name of the argument that should receive the store injection, or None
-        if no store injection is required.
-
-    Raises:
-        ValueError: If a tool argument has multiple InjectedStore annotations.
-    """
    full_schema = tool.get_input_schema()
    for name, type_ in get_all_basemodel_annotations(full_schema).items():
        injections = [
@@ -40,11 +40,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/66/f3/80a3f974c8b535d394ff960a11ac20368e06b736da395b551a49ce950cce/certifi-2025.7.9-py3-none-any.whl", hash = "sha256:d842783a14f8fdd646895ac26f719a061408834473cfc10203f6a575beb15d39", size = 159230, upload-time = "2025-07-09T02:13:57.007Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -316,7 +316,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "0.5.3"
+version = "0.5.2"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -397,7 +397,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.21"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -507,7 +507,7 @@ dev = [

 [[package]]
 name = "langgraph-sdk"
-version = "0.1.73"
+version = "0.1.72"
 source = { editable = "../sdk-py" }
 dependencies = [
    { name = "httpx" },
@@ -533,7 +533,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.5"
+version = "0.4.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -544,9 +544,9 @@ dependencies = [
    { name = "requests-toolbelt" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5c/92/7885823f3d13222f57773921f0da19b37d628c64607491233dc853a0f6ea/langsmith-0.4.5.tar.gz", hash = "sha256:49444bd8ccd4e46402f1b9ff1d686fa8e3a31b175e7085e72175ab8ec6164a34", size = 352235, upload-time = "2025-07-10T22:08:04.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/20/c8/8d2e0fc438d2d3d8d4300f7684ea30a754344ed00d7ba9cc2705241d2a5f/langsmith-0.4.4.tar.gz", hash = "sha256:70c53bbff24a7872e88e6fa0af98270f4986a6e364f9e85db1cc5636defa4d66", size = 352105, upload-time = "2025-06-27T19:20:36.207Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c8/10/ad3107b666c3203b7938d10ea6b8746b9735c399cf737a51386d58e41d34/langsmith-0.4.5-py3-none-any.whl", hash = "sha256:4167717a2cccc4dff5809dbddc439628e836f6fd13d4fdb31ea013bc8d5cfaf5", size = 367795, upload-time = "2025-07-10T22:08:02.548Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/33/a3337eb70d795495a299a1640d7a75f17fb917155a64309b96106e7b9452/langsmith-0.4.4-py3-none-any.whl", hash = "sha256:014c68329bd085bd6c770a6405c61bb6881f82eb554ce8c4d1984b0035fd1716", size = 367687, upload-time = "2025-06-27T19:20:33.839Z" },
 ]

 [[package]]
@@ -1062,27 +1062,27 @@ wheels = [

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]
@@ -335,10 +335,8 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):
    @typing.overload
    def __call__(
        self,
-        fn: (
-            _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]
-            | _ActionHandler[dict[str, typing.Any]]
-        ),
+        fn: _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]
+        | _ActionHandler[dict[str, typing.Any]],
    ) -> _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]: ...

    @typing.overload
@@ -354,11 +352,9 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):

    def __call__(
        self,
-        fn: (
-            _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]
-            | _ActionHandler[dict[str, typing.Any]]
-            | None
-        ) = None,
+        fn: _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]
+        | _ActionHandler[dict[str, typing.Any]]
+        | None = None,
        *,
        resources: str | Sequence[str] | None = None,
        actions: str | Sequence[str] | None = None,
@@ -480,13 +476,9 @@ class _StoreOn:
    def __call__(
        self,
        *,
-        actions: (
-            typing.Literal["put", "get", "search", "list_namespaces", "delete"]
-            | Sequence[
-                typing.Literal["put", "get", "search", "list_namespaces", "delete"]
-            ]
-            | None
-        ) = None,
+        actions: typing.Literal["put", "get", "search", "list_namespaces", "delete"]
+        | Sequence[typing.Literal["put", "get", "search", "list_namespaces", "delete"]]
+        | None = None,
    ) -> Callable[[AHO], AHO]: ...

    @typing.overload
@@ -496,13 +488,9 @@ class _StoreOn:
        self,
        fn: AHO | None = None,
        *,
-        actions: (
-            typing.Literal["put", "get", "search", "list_namespaces", "delete"]
-            | Sequence[
-                typing.Literal["put", "get", "search", "list_namespaces", "delete"]
-            ]
-            | None
-        ) = None,
+        actions: typing.Literal["put", "get", "search", "list_namespaces", "delete"]
+        | Sequence[typing.Literal["put", "get", "search", "list_namespaces", "delete"]]
+        | None = None,
    ) -> AHO | Callable[[AHO], AHO]:
        """Register a handler for specific resources and actions.

@@ -720,12 +708,4 @@ def _validate_handler(fn: Callable[..., typing.Any]) -> None:
        )


-def is_studio_user(user: types.MinimalUser | types.User | types.UserDict) -> bool:
-    return (
-        isinstance(user, types.StudioUser)
-        or isinstance(user, dict)
-        and user.get("kind") == "StudioUser"
-    )
-
-
 __all__ = ["Auth", "types", "exceptions"]
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-sdk"
-version = "0.1.73"
+version = "0.1.72"
 description = "SDK for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"
@@ -19,11 +19,11 @@ wheels = [

 [[package]]
 name = "certifi"
-version = "2025.7.14"
+version = "2025.6.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/b3/76/52c535bcebe74590f296d6c77c86dabf761c41980e1347a2422e4aa2ae41/certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995", size = 163981, upload-time = "2025-07-14T03:29:28.449Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/73/f7/f14b46d4bcd21092d7d3ccef689615220d8a08fb25e564b65d20738e672e/certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b", size = 158753, upload-time = "2025-06-15T02:45:51.329Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4f/52/34c6cf5bb9285074dc3531c437b3919e825d976fde097a7a73f79e726d03/certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2", size = 162722, upload-time = "2025-07-14T03:29:26.863Z" },
+    { url = "https://files.pythonhosted.org/packages/84/ae/320161bd181fc06471eed047ecce67b693fd7515b16d495d8932db763426/certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057", size = 157650, upload-time = "2025-06-15T02:45:49.977Z" },
 ]

 [[package]]
@@ -119,7 +119,7 @@ wheels = [

 [[package]]
 name = "langgraph-sdk"
-version = "0.1.73"
+version = "0.1.72"
 source = { editable = "." }
 dependencies = [
    { name = "httpx" },
@@ -156,7 +156,7 @@ dev = [

 [[package]]
 name = "mypy"
-version = "1.17.0"
+version = "1.16.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "mypy-extensions" },
@@ -164,39 +164,39 @@ dependencies = [
    { name = "tomli", marker = "python_full_version < '3.11'" },
    { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/1e/e3/034322d5a779685218ed69286c32faa505247f1f096251ef66c8fd203b08/mypy-1.17.0.tar.gz", hash = "sha256:e5d7ccc08ba089c06e2f5629c660388ef1fee708444f1dee0b9203fa031dee03", size = 3352114, upload-time = "2025-07-14T20:34:30.181Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/81/69/92c7fa98112e4d9eb075a239caa4ef4649ad7d441545ccffbd5e34607cbb/mypy-1.16.1.tar.gz", hash = "sha256:6bd00a0a2094841c5e47e7374bb42b83d64c527a502e3334e1173a0c24437bab", size = 3324747, upload-time = "2025-06-16T16:51:35.145Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6a/31/e762baa3b73905c856d45ab77b4af850e8159dffffd86a52879539a08c6b/mypy-1.17.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f8e08de6138043108b3b18f09d3f817a4783912e48828ab397ecf183135d84d6", size = 10998313, upload-time = "2025-07-14T20:33:24.519Z" },
-    { url = "https://files.pythonhosted.org/packages/1c/c1/25b2f0d46fb7e0b5e2bee61ec3a47fe13eff9e3c2f2234f144858bbe6485/mypy-1.17.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ce4a17920ec144647d448fc43725b5873548b1aae6c603225626747ededf582d", size = 10128922, upload-time = "2025-07-14T20:34:06.414Z" },
-    { url = "https://files.pythonhosted.org/packages/02/78/6d646603a57aa8a2886df1b8881fe777ea60f28098790c1089230cd9c61d/mypy-1.17.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6ff25d151cc057fdddb1cb1881ef36e9c41fa2a5e78d8dd71bee6e4dcd2bc05b", size = 11913524, upload-time = "2025-07-14T20:33:19.109Z" },
-    { url = "https://files.pythonhosted.org/packages/4f/19/dae6c55e87ee426fb76980f7e78484450cad1c01c55a1dc4e91c930bea01/mypy-1.17.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:93468cf29aa9a132bceb103bd8475f78cacde2b1b9a94fd978d50d4bdf616c9a", size = 12650527, upload-time = "2025-07-14T20:32:44.095Z" },
-    { url = "https://files.pythonhosted.org/packages/86/e1/f916845a235235a6c1e4d4d065a3930113767001d491b8b2e1b61ca56647/mypy-1.17.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:98189382b310f16343151f65dd7e6867386d3e35f7878c45cfa11383d175d91f", size = 12897284, upload-time = "2025-07-14T20:33:38.168Z" },
-    { url = "https://files.pythonhosted.org/packages/ae/dc/414760708a4ea1b096bd214d26a24e30ac5e917ef293bc33cdb6fe22d2da/mypy-1.17.0-cp310-cp310-win_amd64.whl", hash = "sha256:c004135a300ab06a045c1c0d8e3f10215e71d7b4f5bb9a42ab80236364429937", size = 9506493, upload-time = "2025-07-14T20:34:01.093Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/24/82efb502b0b0f661c49aa21cfe3e1999ddf64bf5500fc03b5a1536a39d39/mypy-1.17.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9d4fe5c72fd262d9c2c91c1117d16aac555e05f5beb2bae6a755274c6eec42be", size = 10914150, upload-time = "2025-07-14T20:31:51.985Z" },
-    { url = "https://files.pythonhosted.org/packages/03/96/8ef9a6ff8cedadff4400e2254689ca1dc4b420b92c55255b44573de10c54/mypy-1.17.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d96b196e5c16f41b4f7736840e8455958e832871990c7ba26bf58175e357ed61", size = 10039845, upload-time = "2025-07-14T20:32:30.527Z" },
-    { url = "https://files.pythonhosted.org/packages/df/32/7ce359a56be779d38021d07941cfbb099b41411d72d827230a36203dbb81/mypy-1.17.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:73a0ff2dd10337ceb521c080d4147755ee302dcde6e1a913babd59473904615f", size = 11837246, upload-time = "2025-07-14T20:32:01.28Z" },
-    { url = "https://files.pythonhosted.org/packages/82/16/b775047054de4d8dbd668df9137707e54b07fe18c7923839cd1e524bf756/mypy-1.17.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:24cfcc1179c4447854e9e406d3af0f77736d631ec87d31c6281ecd5025df625d", size = 12571106, upload-time = "2025-07-14T20:34:26.942Z" },
-    { url = "https://files.pythonhosted.org/packages/a1/cf/fa33eaf29a606102c8d9ffa45a386a04c2203d9ad18bf4eef3e20c43ebc8/mypy-1.17.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:3c56f180ff6430e6373db7a1d569317675b0a451caf5fef6ce4ab365f5f2f6c3", size = 12759960, upload-time = "2025-07-14T20:33:42.882Z" },
-    { url = "https://files.pythonhosted.org/packages/94/75/3f5a29209f27e739ca57e6350bc6b783a38c7621bdf9cac3ab8a08665801/mypy-1.17.0-cp311-cp311-win_amd64.whl", hash = "sha256:eafaf8b9252734400f9b77df98b4eee3d2eecab16104680d51341c75702cad70", size = 9503888, upload-time = "2025-07-14T20:32:34.392Z" },
-    { url = "https://files.pythonhosted.org/packages/12/e9/e6824ed620bbf51d3bf4d6cbbe4953e83eaf31a448d1b3cfb3620ccb641c/mypy-1.17.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:f986f1cab8dbec39ba6e0eaa42d4d3ac6686516a5d3dccd64be095db05ebc6bb", size = 11086395, upload-time = "2025-07-14T20:34:11.452Z" },
-    { url = "https://files.pythonhosted.org/packages/ba/51/a4afd1ae279707953be175d303f04a5a7bd7e28dc62463ad29c1c857927e/mypy-1.17.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:51e455a54d199dd6e931cd7ea987d061c2afbaf0960f7f66deef47c90d1b304d", size = 10120052, upload-time = "2025-07-14T20:33:09.897Z" },
-    { url = "https://files.pythonhosted.org/packages/8a/71/19adfeac926ba8205f1d1466d0d360d07b46486bf64360c54cb5a2bd86a8/mypy-1.17.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3204d773bab5ff4ebbd1f8efa11b498027cd57017c003ae970f310e5b96be8d8", size = 11861806, upload-time = "2025-07-14T20:32:16.028Z" },
-    { url = "https://files.pythonhosted.org/packages/0b/64/d6120eca3835baf7179e6797a0b61d6c47e0bc2324b1f6819d8428d5b9ba/mypy-1.17.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1051df7ec0886fa246a530ae917c473491e9a0ba6938cfd0ec2abc1076495c3e", size = 12744371, upload-time = "2025-07-14T20:33:33.503Z" },
-    { url = "https://files.pythonhosted.org/packages/1f/dc/56f53b5255a166f5bd0f137eed960e5065f2744509dfe69474ff0ba772a5/mypy-1.17.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:f773c6d14dcc108a5b141b4456b0871df638eb411a89cd1c0c001fc4a9d08fc8", size = 12914558, upload-time = "2025-07-14T20:33:56.961Z" },
-    { url = "https://files.pythonhosted.org/packages/69/ac/070bad311171badc9add2910e7f89271695a25c136de24bbafc7eded56d5/mypy-1.17.0-cp312-cp312-win_amd64.whl", hash = "sha256:1619a485fd0e9c959b943c7b519ed26b712de3002d7de43154a489a2d0fd817d", size = 9585447, upload-time = "2025-07-14T20:32:20.594Z" },
-    { url = "https://files.pythonhosted.org/packages/be/7b/5f8ab461369b9e62157072156935cec9d272196556bdc7c2ff5f4c7c0f9b/mypy-1.17.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:2c41aa59211e49d717d92b3bb1238c06d387c9325d3122085113c79118bebb06", size = 11070019, upload-time = "2025-07-14T20:32:07.99Z" },
-    { url = "https://files.pythonhosted.org/packages/9c/f8/c49c9e5a2ac0badcc54beb24e774d2499748302c9568f7f09e8730e953fa/mypy-1.17.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:0e69db1fb65b3114f98c753e3930a00514f5b68794ba80590eb02090d54a5d4a", size = 10114457, upload-time = "2025-07-14T20:33:47.285Z" },
-    { url = "https://files.pythonhosted.org/packages/89/0c/fb3f9c939ad9beed3e328008b3fb90b20fda2cddc0f7e4c20dbefefc3b33/mypy-1.17.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:03ba330b76710f83d6ac500053f7727270b6b8553b0423348ffb3af6f2f7b889", size = 11857838, upload-time = "2025-07-14T20:33:14.462Z" },
-    { url = "https://files.pythonhosted.org/packages/4c/66/85607ab5137d65e4f54d9797b77d5a038ef34f714929cf8ad30b03f628df/mypy-1.17.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:037bc0f0b124ce46bfde955c647f3e395c6174476a968c0f22c95a8d2f589bba", size = 12731358, upload-time = "2025-07-14T20:32:25.579Z" },
-    { url = "https://files.pythonhosted.org/packages/73/d0/341dbbfb35ce53d01f8f2969facbb66486cee9804048bf6c01b048127501/mypy-1.17.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:c38876106cb6132259683632b287238858bd58de267d80defb6f418e9ee50658", size = 12917480, upload-time = "2025-07-14T20:34:21.868Z" },
-    { url = "https://files.pythonhosted.org/packages/64/63/70c8b7dbfc520089ac48d01367a97e8acd734f65bd07813081f508a8c94c/mypy-1.17.0-cp313-cp313-win_amd64.whl", hash = "sha256:d30ba01c0f151998f367506fab31c2ac4527e6a7b2690107c7a7f9e3cb419a9c", size = 9589666, upload-time = "2025-07-14T20:34:16.841Z" },
-    { url = "https://files.pythonhosted.org/packages/9f/a0/6263dd11941231f688f0a8f2faf90ceac1dc243d148d314a089d2fe25108/mypy-1.17.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:63e751f1b5ab51d6f3d219fe3a2fe4523eaa387d854ad06906c63883fde5b1ab", size = 10988185, upload-time = "2025-07-14T20:33:04.797Z" },
-    { url = "https://files.pythonhosted.org/packages/02/13/b8f16d6b0dc80277129559c8e7dbc9011241a0da8f60d031edb0e6e9ac8f/mypy-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f7fb09d05e0f1c329a36dcd30e27564a3555717cde87301fae4fb542402ddfad", size = 10120169, upload-time = "2025-07-14T20:32:38.84Z" },
-    { url = "https://files.pythonhosted.org/packages/14/ef/978ba79df0d65af680e20d43121363cf643eb79b04bf3880d01fc8afeb6f/mypy-1.17.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b72c34ce05ac3a1361ae2ebb50757fb6e3624032d91488d93544e9f82db0ed6c", size = 11918121, upload-time = "2025-07-14T20:33:52.328Z" },
-    { url = "https://files.pythonhosted.org/packages/f4/10/55ef70b104151a0d8280474f05268ff0a2a79be8d788d5e647257d121309/mypy-1.17.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:434ad499ad8dde8b2f6391ddfa982f41cb07ccda8e3c67781b1bfd4e5f9450a8", size = 12648821, upload-time = "2025-07-14T20:32:59.631Z" },
-    { url = "https://files.pythonhosted.org/packages/26/8c/7781fcd2e1eef48fbedd3a422c21fe300a8e03ed5be2eb4bd10246a77f4e/mypy-1.17.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:f105f61a5eff52e137fd73bee32958b2add9d9f0a856f17314018646af838e97", size = 12896955, upload-time = "2025-07-14T20:32:49.543Z" },
-    { url = "https://files.pythonhosted.org/packages/78/13/03ac759dabe86e98ca7b6681f114f90ee03f3ff8365a57049d311bd4a4e3/mypy-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:ba06254a5a22729853209550d80f94e28690d5530c661f9416a68ac097b13fc4", size = 9512957, upload-time = "2025-07-14T20:33:28.619Z" },
-    { url = "https://files.pythonhosted.org/packages/e3/fc/ee058cc4316f219078464555873e99d170bde1d9569abd833300dbeb484a/mypy-1.17.0-py3-none-any.whl", hash = "sha256:15d9d0018237ab058e5de3d8fce61b6fa72cc59cc78fd91f1b474bce12abf496", size = 2283195, upload-time = "2025-07-14T20:31:54.753Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/12/2bf23a80fcef5edb75de9a1e295d778e0f46ea89eb8b115818b663eff42b/mypy-1.16.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b4f0fed1022a63c6fec38f28b7fc77fca47fd490445c69d0a66266c59dd0b88a", size = 10958644, upload-time = "2025-06-16T16:51:11.649Z" },
+    { url = "https://files.pythonhosted.org/packages/08/50/bfe47b3b278eacf348291742fd5e6613bbc4b3434b72ce9361896417cfe5/mypy-1.16.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86042bbf9f5a05ea000d3203cf87aa9d0ccf9a01f73f71c58979eb9249f46d72", size = 10087033, upload-time = "2025-06-16T16:35:30.089Z" },
+    { url = "https://files.pythonhosted.org/packages/21/de/40307c12fe25675a0776aaa2cdd2879cf30d99eec91b898de00228dc3ab5/mypy-1.16.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ea7469ee5902c95542bea7ee545f7006508c65c8c54b06dc2c92676ce526f3ea", size = 11875645, upload-time = "2025-06-16T16:35:48.49Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/d8/85bdb59e4a98b7a31495bd8f1a4445d8ffc86cde4ab1f8c11d247c11aedc/mypy-1.16.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:352025753ef6a83cb9e7f2427319bb7875d1fdda8439d1e23de12ab164179574", size = 12616986, upload-time = "2025-06-16T16:48:39.526Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/d0/bb25731158fa8f8ee9e068d3e94fcceb4971fedf1424248496292512afe9/mypy-1.16.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:ff9fa5b16e4c1364eb89a4d16bcda9987f05d39604e1e6c35378a2987c1aac2d", size = 12878632, upload-time = "2025-06-16T16:36:08.195Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/11/822a9beb7a2b825c0cb06132ca0a5183f8327a5e23ef89717c9474ba0bc6/mypy-1.16.1-cp310-cp310-win_amd64.whl", hash = "sha256:1256688e284632382f8f3b9e2123df7d279f603c561f099758e66dd6ed4e8bd6", size = 9484391, upload-time = "2025-06-16T16:37:56.151Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/61/ec1245aa1c325cb7a6c0f8570a2eee3bfc40fa90d19b1267f8e50b5c8645/mypy-1.16.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:472e4e4c100062488ec643f6162dd0d5208e33e2f34544e1fc931372e806c0cc", size = 10890557, upload-time = "2025-06-16T16:37:21.421Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/bb/6eccc0ba0aa0c7a87df24e73f0ad34170514abd8162eb0c75fd7128171fb/mypy-1.16.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ea16e2a7d2714277e349e24d19a782a663a34ed60864006e8585db08f8ad1782", size = 10012921, upload-time = "2025-06-16T16:51:28.659Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/80/b337a12e2006715f99f529e732c5f6a8c143bb58c92bb142d5ab380963a5/mypy-1.16.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08e850ea22adc4d8a4014651575567b0318ede51e8e9fe7a68f25391af699507", size = 11802887, upload-time = "2025-06-16T16:50:53.627Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/59/f7af072d09793d581a745a25737c7c0a945760036b16aeb620f658a017af/mypy-1.16.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22d76a63a42619bfb90122889b903519149879ddbf2ba4251834727944c8baca", size = 12531658, upload-time = "2025-06-16T16:33:55.002Z" },
+    { url = "https://files.pythonhosted.org/packages/82/c4/607672f2d6c0254b94a646cfc45ad589dd71b04aa1f3d642b840f7cce06c/mypy-1.16.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:2c7ce0662b6b9dc8f4ed86eb7a5d505ee3298c04b40ec13b30e572c0e5ae17c4", size = 12732486, upload-time = "2025-06-16T16:37:03.301Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/5e/136555ec1d80df877a707cebf9081bd3a9f397dedc1ab9750518d87489ec/mypy-1.16.1-cp311-cp311-win_amd64.whl", hash = "sha256:211287e98e05352a2e1d4e8759c5490925a7c784ddc84207f4714822f8cf99b6", size = 9479482, upload-time = "2025-06-16T16:47:37.48Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/d6/39482e5fcc724c15bf6280ff5806548c7185e0c090712a3736ed4d07e8b7/mypy-1.16.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:af4792433f09575d9eeca5c63d7d90ca4aeceda9d8355e136f80f8967639183d", size = 11066493, upload-time = "2025-06-16T16:47:01.683Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/e5/26c347890efc6b757f4d5bb83f4a0cf5958b8cf49c938ac99b8b72b420a6/mypy-1.16.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:66df38405fd8466ce3517eda1f6640611a0b8e70895e2a9462d1d4323c5eb4b9", size = 10081687, upload-time = "2025-06-16T16:48:19.367Z" },
+    { url = "https://files.pythonhosted.org/packages/44/c7/b5cb264c97b86914487d6a24bd8688c0172e37ec0f43e93b9691cae9468b/mypy-1.16.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:44e7acddb3c48bd2713994d098729494117803616e116032af192871aed80b79", size = 11839723, upload-time = "2025-06-16T16:49:20.912Z" },
+    { url = "https://files.pythonhosted.org/packages/15/f8/491997a9b8a554204f834ed4816bda813aefda31cf873bb099deee3c9a99/mypy-1.16.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:0ab5eca37b50188163fa7c1b73c685ac66c4e9bdee4a85c9adac0e91d8895e15", size = 12722980, upload-time = "2025-06-16T16:37:40.929Z" },
+    { url = "https://files.pythonhosted.org/packages/df/f0/2bd41e174b5fd93bc9de9a28e4fb673113633b8a7f3a607fa4a73595e468/mypy-1.16.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:dedb6229b2c9086247e21a83c309754b9058b438704ad2f6807f0d8227f6ebdd", size = 12903328, upload-time = "2025-06-16T16:34:35.099Z" },
+    { url = "https://files.pythonhosted.org/packages/61/81/5572108a7bec2c46b8aff7e9b524f371fe6ab5efb534d38d6b37b5490da8/mypy-1.16.1-cp312-cp312-win_amd64.whl", hash = "sha256:1f0435cf920e287ff68af3d10a118a73f212deb2ce087619eb4e648116d1fe9b", size = 9562321, upload-time = "2025-06-16T16:48:58.823Z" },
+    { url = "https://files.pythonhosted.org/packages/28/e3/96964af4a75a949e67df4b95318fe2b7427ac8189bbc3ef28f92a1c5bc56/mypy-1.16.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:ddc91eb318c8751c69ddb200a5937f1232ee8efb4e64e9f4bc475a33719de438", size = 11063480, upload-time = "2025-06-16T16:47:56.205Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/4d/cd1a42b8e5be278fab7010fb289d9307a63e07153f0ae1510a3d7b703193/mypy-1.16.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:87ff2c13d58bdc4bbe7dc0dedfe622c0f04e2cb2a492269f3b418df2de05c536", size = 10090538, upload-time = "2025-06-16T16:46:43.92Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/4f/c3c6b4b66374b5f68bab07c8cabd63a049ff69796b844bc759a0ca99bb2a/mypy-1.16.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0a7cfb0fe29fe5a9841b7c8ee6dffb52382c45acdf68f032145b75620acfbd6f", size = 11836839, upload-time = "2025-06-16T16:36:28.039Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/7e/81ca3b074021ad9775e5cb97ebe0089c0f13684b066a750b7dc208438403/mypy-1.16.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:051e1677689c9d9578b9c7f4d206d763f9bbd95723cd1416fad50db49d52f359", size = 12715634, upload-time = "2025-06-16T16:50:34.441Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/95/bdd40c8be346fa4c70edb4081d727a54d0a05382d84966869738cfa8a497/mypy-1.16.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d5d2309511cc56c021b4b4e462907c2b12f669b2dbeb68300110ec27723971be", size = 12895584, upload-time = "2025-06-16T16:34:54.857Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/fd/d486a0827a1c597b3b48b1bdef47228a6e9ee8102ab8c28f944cb83b65dc/mypy-1.16.1-cp313-cp313-win_amd64.whl", hash = "sha256:4f58ac32771341e38a853c5d0ec0dfe27e18e27da9cdb8bbc882d2249c71a3ee", size = 9573886, upload-time = "2025-06-16T16:36:43.589Z" },
+    { url = "https://files.pythonhosted.org/packages/49/5e/ed1e6a7344005df11dfd58b0fdd59ce939a0ba9f7ed37754bf20670b74db/mypy-1.16.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7fc688329af6a287567f45cc1cefb9db662defeb14625213a5b7da6e692e2069", size = 10959511, upload-time = "2025-06-16T16:47:21.945Z" },
+    { url = "https://files.pythonhosted.org/packages/30/88/a7cbc2541e91fe04f43d9e4577264b260fecedb9bccb64ffb1a34b7e6c22/mypy-1.16.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5e198ab3f55924c03ead626ff424cad1732d0d391478dfbf7bb97b34602395da", size = 10075555, upload-time = "2025-06-16T16:50:14.084Z" },
+    { url = "https://files.pythonhosted.org/packages/93/f7/c62b1e31a32fbd1546cca5e0a2e5f181be5761265ad1f2e94f2a306fa906/mypy-1.16.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:09aa4f91ada245f0a45dbc47e548fd94e0dd5a8433e0114917dc3b526912a30c", size = 11874169, upload-time = "2025-06-16T16:49:42.276Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/15/db580a28034657fb6cb87af2f8996435a5b19d429ea4dcd6e1c73d418e60/mypy-1.16.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:13c7cd5b1cb2909aa318a90fd1b7e31f17c50b242953e7dd58345b2a814f6383", size = 12610060, upload-time = "2025-06-16T16:34:15.215Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/78/c17f48f6843048fa92d1489d3095e99324f2a8c420f831a04ccc454e2e51/mypy-1.16.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:58e07fb958bc5d752a280da0e890c538f1515b79a65757bbdc54252ba82e0b40", size = 12875199, upload-time = "2025-06-16T16:35:14.448Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/d6/ed42167d0a42680381653fd251d877382351e1bd2c6dd8a818764be3beb1/mypy-1.16.1-cp39-cp39-win_amd64.whl", hash = "sha256:f895078594d918f93337a505f8add9bd654d1a24962b4c6ed9390e12531eb31b", size = 9487033, upload-time = "2025-06-16T16:49:57.907Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/d3/53e684e78e07c1a2bf7105715e5edd09ce951fc3f47cf9ed095ec1b7a037/mypy-1.16.1-py3-none-any.whl", hash = "sha256:5fc2ac4027d0ef28d6ba69a0343737a23c4d1b83672bf38d1fe237bdc0643b37", size = 2265923, upload-time = "2025-06-16T16:48:02.366Z" },
 ]

 [[package]]
@@ -380,27 +380,27 @@ sdist = { url = "https://files.pythonhosted.org/packages/36/47/ab65fc1d682befc31

 [[package]]
 name = "ruff"
-version = "0.12.3"
+version = "0.12.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c3/2a/43955b530c49684d3c38fcda18c43caf91e99204c2a065552528e0552d4f/ruff-0.12.3.tar.gz", hash = "sha256:f1b5a4b6668fd7b7ea3697d8d98857390b40c1320a63a178eee6be0899ea2d77", size = 4459341, upload-time = "2025-07-11T13:21:16.086Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e2/fd/b44c5115539de0d598d75232a1cc7201430b6891808df111b8b0506aae43/ruff-0.12.3-py3-none-linux_armv6l.whl", hash = "sha256:47552138f7206454eaf0c4fe827e546e9ddac62c2a3d2585ca54d29a890137a2", size = 10430499, upload-time = "2025-07-11T13:20:26.321Z" },
-    { url = "https://files.pythonhosted.org/packages/43/c5/9eba4f337970d7f639a37077be067e4ec80a2ad359e4cc6c5b56805cbc66/ruff-0.12.3-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:0a9153b000c6fe169bb307f5bd1b691221c4286c133407b8827c406a55282041", size = 11213413, upload-time = "2025-07-11T13:20:30.017Z" },
-    { url = "https://files.pythonhosted.org/packages/e2/2c/fac3016236cf1fe0bdc8e5de4f24c76ce53c6dd9b5f350d902549b7719b2/ruff-0.12.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:fa6b24600cf3b750e48ddb6057e901dd5b9aa426e316addb2a1af185a7509882", size = 10586941, upload-time = "2025-07-11T13:20:33.046Z" },
-    { url = "https://files.pythonhosted.org/packages/c5/0f/41fec224e9dfa49a139f0b402ad6f5d53696ba1800e0f77b279d55210ca9/ruff-0.12.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2506961bf6ead54887ba3562604d69cb430f59b42133d36976421bc8bd45901", size = 10783001, upload-time = "2025-07-11T13:20:35.534Z" },
-    { url = "https://files.pythonhosted.org/packages/0d/ca/dd64a9ce56d9ed6cad109606ac014860b1c217c883e93bf61536400ba107/ruff-0.12.3-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c4faaff1f90cea9d3033cbbcdf1acf5d7fb11d8180758feb31337391691f3df0", size = 10269641, upload-time = "2025-07-11T13:20:38.459Z" },
-    { url = "https://files.pythonhosted.org/packages/63/5c/2be545034c6bd5ce5bb740ced3e7014d7916f4c445974be11d2a406d5088/ruff-0.12.3-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:40dced4a79d7c264389de1c59467d5d5cefd79e7e06d1dfa2c75497b5269a5a6", size = 11875059, upload-time = "2025-07-11T13:20:41.517Z" },
-    { url = "https://files.pythonhosted.org/packages/8e/d4/a74ef1e801ceb5855e9527dae105eaff136afcb9cc4d2056d44feb0e4792/ruff-0.12.3-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:0262d50ba2767ed0fe212aa7e62112a1dcbfd46b858c5bf7bbd11f326998bafc", size = 12658890, upload-time = "2025-07-11T13:20:44.442Z" },
-    { url = "https://files.pythonhosted.org/packages/13/c8/1057916416de02e6d7c9bcd550868a49b72df94e3cca0aeb77457dcd9644/ruff-0.12.3-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:12371aec33e1a3758597c5c631bae9a5286f3c963bdfb4d17acdd2d395406687", size = 12232008, upload-time = "2025-07-11T13:20:47.374Z" },
-    { url = "https://files.pythonhosted.org/packages/f5/59/4f7c130cc25220392051fadfe15f63ed70001487eca21d1796db46cbcc04/ruff-0.12.3-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:560f13b6baa49785665276c963edc363f8ad4b4fc910a883e2625bdb14a83a9e", size = 11499096, upload-time = "2025-07-11T13:20:50.348Z" },
-    { url = "https://files.pythonhosted.org/packages/d4/01/a0ad24a5d2ed6be03a312e30d32d4e3904bfdbc1cdbe63c47be9d0e82c79/ruff-0.12.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:023040a3499f6f974ae9091bcdd0385dd9e9eb4942f231c23c57708147b06311", size = 11688307, upload-time = "2025-07-11T13:20:52.945Z" },
-    { url = "https://files.pythonhosted.org/packages/93/72/08f9e826085b1f57c9a0226e48acb27643ff19b61516a34c6cab9d6ff3fa/ruff-0.12.3-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:883d844967bffff5ab28bba1a4d246c1a1b2933f48cb9840f3fdc5111c603b07", size = 10661020, upload-time = "2025-07-11T13:20:55.799Z" },
-    { url = "https://files.pythonhosted.org/packages/80/a0/68da1250d12893466c78e54b4a0ff381370a33d848804bb51279367fc688/ruff-0.12.3-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2120d3aa855ff385e0e562fdee14d564c9675edbe41625c87eeab744a7830d12", size = 10246300, upload-time = "2025-07-11T13:20:58.222Z" },
-    { url = "https://files.pythonhosted.org/packages/6a/22/5f0093d556403e04b6fd0984fc0fb32fbb6f6ce116828fd54306a946f444/ruff-0.12.3-py3-none-musllinux_1_2_i686.whl", hash = "sha256:6b16647cbb470eaf4750d27dddc6ebf7758b918887b56d39e9c22cce2049082b", size = 11263119, upload-time = "2025-07-11T13:21:01.503Z" },
-    { url = "https://files.pythonhosted.org/packages/92/c9/f4c0b69bdaffb9968ba40dd5fa7df354ae0c73d01f988601d8fac0c639b1/ruff-0.12.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:e1417051edb436230023575b149e8ff843a324557fe0a265863b7602df86722f", size = 11746990, upload-time = "2025-07-11T13:21:04.524Z" },
-    { url = "https://files.pythonhosted.org/packages/fe/84/7cc7bd73924ee6be4724be0db5414a4a2ed82d06b30827342315a1be9e9c/ruff-0.12.3-py3-none-win32.whl", hash = "sha256:dfd45e6e926deb6409d0616078a666ebce93e55e07f0fb0228d4b2608b2c248d", size = 10589263, upload-time = "2025-07-11T13:21:07.148Z" },
-    { url = "https://files.pythonhosted.org/packages/07/87/c070f5f027bd81f3efee7d14cb4d84067ecf67a3a8efb43aadfc72aa79a6/ruff-0.12.3-py3-none-win_amd64.whl", hash = "sha256:a946cf1e7ba3209bdef039eb97647f1c77f6f540e5845ec9c114d3af8df873e7", size = 11695072, upload-time = "2025-07-11T13:21:11.004Z" },
-    { url = "https://files.pythonhosted.org/packages/e0/30/f3eaf6563c637b6e66238ed6535f6775480db973c836336e4122161986fc/ruff-0.12.3-py3-none-win_arm64.whl", hash = "sha256:5f9c7c9c8f84c2d7f27e93674d27136fbf489720251544c4da7fb3d742e011b1", size = 10805855, upload-time = "2025-07-11T13:21:13.547Z" },
+    { url = "https://files.pythonhosted.org/packages/74/b6/2098d0126d2d3318fd5bec3ad40d06c25d377d95749f7a0c5af17129b3b1/ruff-0.12.2-py3-none-linux_armv6l.whl", hash = "sha256:093ea2b221df1d2b8e7ad92fc6ffdca40a2cb10d8564477a987b44fd4008a7be", size = 10369761, upload-time = "2025-07-03T16:39:38.847Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/4b/5da0142033dbe155dc598cfb99262d8ee2449d76920ea92c4eeb9547c208/ruff-0.12.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:09e4cf27cc10f96b1708100fa851e0daf21767e9709e1649175355280e0d950e", size = 11155659, upload-time = "2025-07-03T16:39:42.294Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/21/967b82550a503d7c5c5c127d11c935344b35e8c521f52915fc858fb3e473/ruff-0.12.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8ae64755b22f4ff85e9c52d1f82644abd0b6b6b6deedceb74bd71f35c24044cc", size = 10537769, upload-time = "2025-07-03T16:39:44.75Z" },
+    { url = "https://files.pythonhosted.org/packages/33/91/00cff7102e2ec71a4890fb7ba1803f2cdb122d82787c7d7cf8041fe8cbc1/ruff-0.12.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3eb3a6b2db4d6e2c77e682f0b988d4d61aff06860158fdb413118ca133d57922", size = 10717602, upload-time = "2025-07-03T16:39:47.652Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/eb/928814daec4e1ba9115858adcda44a637fb9010618721937491e4e2283b8/ruff-0.12.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:73448de992d05517170fc37169cbca857dfeaeaa8c2b9be494d7bcb0d36c8f4b", size = 10198772, upload-time = "2025-07-03T16:39:49.641Z" },
+    { url = "https://files.pythonhosted.org/packages/50/fa/f15089bc20c40f4f72334f9145dde55ab2b680e51afb3b55422effbf2fb6/ruff-0.12.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3b8b94317cbc2ae4a2771af641739f933934b03555e51515e6e021c64441532d", size = 11845173, upload-time = "2025-07-03T16:39:52.069Z" },
+    { url = "https://files.pythonhosted.org/packages/43/9f/1f6f98f39f2b9302acc161a4a2187b1e3a97634fe918a8e731e591841cf4/ruff-0.12.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:45fc42c3bf1d30d2008023a0a9a0cfb06bf9835b147f11fe0679f21ae86d34b1", size = 12553002, upload-time = "2025-07-03T16:39:54.551Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/70/08991ac46e38ddd231c8f4fd05ef189b1b94be8883e8c0c146a025c20a19/ruff-0.12.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ce48f675c394c37e958bf229fb5c1e843e20945a6d962cf3ea20b7a107dcd9f4", size = 12171330, upload-time = "2025-07-03T16:39:57.55Z" },
+    { url = "https://files.pythonhosted.org/packages/88/a9/5a55266fec474acfd0a1c73285f19dd22461d95a538f29bba02edd07a5d9/ruff-0.12.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793d8859445ea47591272021a81391350205a4af65a9392401f418a95dfb75c9", size = 11774717, upload-time = "2025-07-03T16:39:59.78Z" },
+    { url = "https://files.pythonhosted.org/packages/87/e5/0c270e458fc73c46c0d0f7cf970bb14786e5fdb88c87b5e423a4bd65232b/ruff-0.12.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6932323db80484dda89153da3d8e58164d01d6da86857c79f1961934354992da", size = 11646659, upload-time = "2025-07-03T16:40:01.934Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/b6/45ab96070c9752af37f0be364d849ed70e9ccede07675b0ec4e3ef76b63b/ruff-0.12.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:6aa7e623a3a11538108f61e859ebf016c4f14a7e6e4eba1980190cacb57714ce", size = 10604012, upload-time = "2025-07-03T16:40:04.363Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/26a6e6a424eb147cc7627eebae095cfa0b4b337a7c1c413c447c9ebb72fd/ruff-0.12.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:2a4a20aeed74671b2def096bdf2eac610c7d8ffcbf4fb0e627c06947a1d7078d", size = 10176799, upload-time = "2025-07-03T16:40:06.514Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/0c/9f344583465a61c8918a7cda604226e77b2c548daf8ef7c2bfccf2b37200/ruff-0.12.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:71a4c550195612f486c9d1f2b045a600aeba851b298c667807ae933478fcef04", size = 11241507, upload-time = "2025-07-03T16:40:08.708Z" },
+    { url = "https://files.pythonhosted.org/packages/1c/b7/99c34ded8fb5f86c0280278fa89a0066c3760edc326e935ce0b1550d315d/ruff-0.12.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:4987b8f4ceadf597c927beee65a5eaf994c6e2b631df963f86d8ad1bdea99342", size = 11717609, upload-time = "2025-07-03T16:40:10.836Z" },
+    { url = "https://files.pythonhosted.org/packages/51/de/8589fa724590faa057e5a6d171e7f2f6cffe3287406ef40e49c682c07d89/ruff-0.12.2-py3-none-win32.whl", hash = "sha256:369ffb69b70cd55b6c3fc453b9492d98aed98062db9fec828cdfd069555f5f1a", size = 10523823, upload-time = "2025-07-03T16:40:13.203Z" },
+    { url = "https://files.pythonhosted.org/packages/94/47/8abf129102ae4c90cba0c2199a1a9b0fa896f6f806238d6f8c14448cc748/ruff-0.12.2-py3-none-win_amd64.whl", hash = "sha256:dca8a3b6d6dc9810ed8f328d406516bf4d660c00caeaef36eb831cf4871b0639", size = 11629831, upload-time = "2025-07-03T16:40:15.478Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/1f/72d2946e3cc7456bb837e88000eb3437e55f80db339c840c04015a11115d/ruff-0.12.2-py3-none-win_arm64.whl", hash = "sha256:48d6c6bfb4761df68bc05ae630e24f506755e702d4fb08f08460be778c7ccb12", size = 10735334, upload-time = "2025-07-03T16:40:17.677Z" },
 ]

 [[package]]