mirror of
https://github.com/langchain-ai/langgraph.git
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fix: replace python.langchain links with new docs.langchain (#6352)
This commit is contained in:
Mason Daugherty
@@ -1,21 +1,21 @@
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name: "\U0001F41B Bug Report"
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description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the LangChain Forum at forum.langchain.com.
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labels: [pending,bug]
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labels: [pending, bug]
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body:
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- type: markdown
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attributes:
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value: |
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Thank you for taking the time to file a bug report.
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Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
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Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
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if there's another way to solve your problem:
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* [LangChain Forum](https://forum.langchain.com/),
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* [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
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* [LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
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* [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
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* [LangChain documentation with the integrated search](https://docs.langchain.com/),
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* [GitHub search](https://github.com/langchain-ai/langgraph),
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- type: checkboxes
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id: checks
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@@ -64,7 +64,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
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- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
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- [LangSmith Deployment](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
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- [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
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- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
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> [!NOTE]
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> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
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@@ -81,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
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## Acknowledgements
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LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
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LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
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@@ -64,7 +64,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
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- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
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- [LangSmith Deployment](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
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- [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
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- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
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> [!NOTE]
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> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
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@@ -81,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
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## Acknowledgements
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LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
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LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
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@@ -37,8 +37,8 @@ class ErrorCode(Enum):
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def create_error_message(*, message: str, error_code: ErrorCode) -> str:
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return (
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f"{message}\n"
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"For troubleshooting, visit: https://python.langchain.com/docs/"
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f"troubleshooting/errors/{error_code.value}"
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"For troubleshooting, visit: https://docs.langchain.com/oss/python/langgraph/"
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f"errors/{error_code.value}"
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)
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+6
-6
@@ -2,10 +2,10 @@
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## Reporting OSS Vulnerabilities
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LangChain is partnered with [huntr by Protect AI](https://huntr.com/) to provide
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a bounty program for our open source projects.
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LangChain is partnered with [huntr by Protect AI](https://huntr.com/) to provide
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a bounty program for our open source projects.
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Please report security vulnerabilities associated with the LangChain
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Please report security vulnerabilities associated with the LangChain
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open source projects by visiting the following link:
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[https://huntr.com/bounties/disclose/](https://huntr.com/bounties/disclose/?target=https%3A%2F%2Fgithub.com%2Flangchain-ai%2Flangchain&validSearch=true)
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@@ -13,7 +13,7 @@ open source projects by visiting the following link:
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Before reporting a vulnerability, please review:
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1) In-Scope Targets and Out-of-Scope Targets below.
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2) The [langchain-ai/langchain](https://python.langchain.com/docs/contributing/repo_structure) monorepo structure.
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2) The [langchain-ai/langchain](https://github.com/langchain-ai/langchain) monorepo structure.
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3) LangChain [security guidelines](https://python.langchain.com/docs/security) to
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understand what we consider to be a security vulnerability vs. developer
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responsibility.
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@@ -53,8 +53,8 @@ All out of scope targets defined by huntr as well as:
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Please report security vulnerabilities associated with LangSmith by email to `security@langchain.dev`.
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- LangSmith site: https://smith.langchain.com
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- SDK client: https://github.com/langchain-ai/langsmith-sdk
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- LangSmith site: <https://smith.langchain.com>
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- SDK client: <https://github.com/langchain-ai/langsmith-sdk>
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### Other Security Concerns
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