chore: update README.md files (#33919)

This commit is contained in:
Mason Daugherty
2025-11-10 22:51:35 -05:00
committed by GitHub
parent 68643153e5
commit 3dfea96ec1
15 changed files with 133 additions and 41 deletions

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@@ -34,7 +34,7 @@ The LangChain ecosystem is built on top of `langchain-core`. Some of the benefit
## 📖 Documentation ## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_core/). For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_core/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).
## 📕 Releases & Versioning ## 📕 Releases & Versioning

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@@ -24,7 +24,7 @@ In most cases, you should be using the main [`langchain`](https://pypi.org/proje
## 📖 Documentation ## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_classic). For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_classic). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).
## 📕 Releases & Versioning ## 📕 Releases & Versioning

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@@ -26,7 +26,7 @@ LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are b
## 📖 Documentation ## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langchain/langchain/). For full documentation, see the [API reference](https://reference.langchain.com/python/langchain/langchain/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).
## 📕 Releases & Versioning ## 📕 Releases & Versioning

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@@ -10,30 +10,30 @@
Centralized reference of LLM capabilities for LangChain chat models. Centralized reference of LLM capabilities for LangChain chat models.
## Overview ## Quick Install
```bash
pip install "langchain[model-profiles]"
```
## 🤔 What is this?
`langchain-model-profiles` enables programmatic access to model capabilities through a `.profile` property on LangChain chat models. `langchain-model-profiles` enables programmatic access to model capabilities through a `.profile` property on LangChain chat models.
This allows you to query model-specific features such as context window sizes, supported input/output modalities, structured output support, tool calling capabilities, and more. This allows you to query model-specific features such as context window sizes, supported input/output modalities, structured output support, tool calling capabilities, and more.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langchain_model_profiles/). For conceptual guides, tutorials, and examples on using LangChain, see the [LangChain Docs](https://docs.langchain.com/oss/python/langchain/overview).
---
## Data sources ## Data sources
This package is built on top of the excellent work by the [models.dev](https://github.com/sst/models.dev) project, an open source initiative that provides model capability data. This package is built on top of the excellent work by the [models.dev](https://github.com/sst/models.dev) project, an open source initiative that provides model capability data.
This package augments the data from models.dev with some additional fields. We intend to keep this aligned with the upstream project as it evolves. This package augments the data from models.dev with some additional fields. We intend to keep this aligned with the upstream project as it evolves.
## Installation
```bash
pip install "langchain[model-profiles]"
```
Or with uv:
```bash
uv add "langchain[model-profiles]"
```
## Usage ## Usage
Access model capabilities through the `.profile` property on any LangChain chat model: Access model capabilities through the `.profile` property on any LangChain chat model:
@@ -60,7 +60,3 @@ if profile.get("..."):
## Available fields ## Available fields
See `ModelProfile` in [`model_profile.py`](./langchain_model_profiles/model_profile.py) for the full list of available fields and their descriptions. See `ModelProfile` in [`model_profile.py`](./langchain_model_profiles/model_profile.py) for the full list of available fields and their descriptions.
## License
MIT

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@@ -19,4 +19,14 @@ This package contains the LangChain integration for Anthropic's generative model
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/anthropic) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_anthropic/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/anthropic).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,4 +19,14 @@ This package contains the LangChain integration with DeepSeek.
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/deepseek) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_deepseek/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/deepseek).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,4 +19,14 @@ This is the partner package for tying Fireworks.ai and LangChain. Fireworks real
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/fireworks) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_fireworks/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/fireworks).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -15,4 +15,14 @@ pip install langchain-groq
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/groq) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_groq/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/groq).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,4 +19,14 @@ This package contains the LangChain integrations for Hugging Face related classe
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/huggingface) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_huggingface/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/huggingface).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -15,4 +15,14 @@ pip install langchain-mistralai
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/mistralai) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_mistralai/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/mistralai).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,20 +19,14 @@ This package contains the LangChain integration with Ollama
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/ollama) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_ollama/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/ollama).
## Development ## 📕 Releases & Versioning
### Running Tests See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
To run integration tests (`make integration_tests`), you will need the following models installed in your Ollama server: ## 💁 Contributing
- `llama3.1` As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
- `deepseek-r1:1.5b`
- `gpt-oss:20b`
Install these models by running: For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
```bash
ollama pull <name-of-model>
```

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@@ -0,0 +1,12 @@
# Running Tests
#
# To run integration tests (`make integration_tests`), you will need the following
# models installed in your Ollama server:
#
# - `llama3.1`
# - `deepseek-r1:1.5b`
# - `gpt-oss:20b`
#
# Install these models by running:
#
# ollama pull <name-of-model>

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@@ -19,4 +19,14 @@ This package contains the LangChain integrations for OpenAI through their `opena
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/openai) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_openai/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/openai).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,4 +19,14 @@ This package contains the LangChain integration with Perplexity.
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/perplexity) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_perplexity/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/perplexity).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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@@ -19,4 +19,14 @@ This package contains the LangChain integrations for [xAI](https://x.ai/) throug
## 📖 Documentation ## 📖 Documentation
View the [documentation](https://docs.langchain.com/oss/python/integrations/providers/xai) for more details. For full documentation, see the [API reference](https://reference.langchain.com/python/integrations/langchain_xai/). For conceptual guides, tutorials, and examples on using these classes, see the [LangChain Docs](https://docs.langchain.com/oss/python/integrations/providers/xai).
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).