mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
a74f3a4979
**Description:** Batch update of alt text and title attributes for images in `md` & `mdx` files across the repo using [alttexter](https://github.com/jonathanalgar/alttexter)/[alttexter-ghclient](https://github.com/jonathanalgar/alttexter-ghclient) (built using LangChain/LangSmith). **Limitation:** cannot update `ipynb` files because of [this issue](https://github.com/langchain-ai/langchain/pull/15357#issuecomment-1885037250). Can revisit when Docusaurus is bumped to v3. I checked all the generated alt texts and titles and didn't find any technical inaccuracies. That's not to say they're _perfect_, but a lot better than what's there currently. [Deployed](https://langchain-819yf1tbk-langchain.vercel.app/docs/modules/model_io/) image example:  You can see LangSmith traces for all the calls out to the LLM in the PRs merged into this one: * https://github.com/jonathanalgar/langchain/pull/6 * https://github.com/jonathanalgar/langchain/pull/4 * https://github.com/jonathanalgar/langchain/pull/3 I didn't add the following files to the PR as the images already have OK alt texts: *27dca2d92f/docs/docs/integrations/providers/argilla.mdx (L3)*27dca2d92f/docs/docs/integrations/providers/apify.mdx (L11)--------- Co-authored-by: github-actions <github-actions@github.com>
42 lines
1.4 KiB
Markdown
42 lines
1.4 KiB
Markdown
# Launching LangServe from a Package
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You can also launch LangServe directly from a package, without having to pull it into a project.
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This can be useful when you are developing a package and want to test it quickly.
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The downside of this is that it gives you a little less control over how the LangServe APIs are configured,
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which is why for proper projects we recommend creating a full project.
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In order to do this, first change your working directory to the package itself.
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For example, if you are currently in this `templates` module, you can go into the `pirate-speak` package with:
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```shell
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cd pirate-speak
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```
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Inside this package there is a `pyproject.toml` file.
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This file contains a `tool.langchain` section that contains information on how this package should be used.
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For example, in `pirate-speak` we see:
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```text
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[tool.langserve]
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export_module = "pirate_speak.chain"
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export_attr = "chain"
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```
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This information can be used to launch a LangServe instance automatically.
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In order to do this, first make sure the CLI is installed:
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```shell
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pip install -U langchain-cli
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```
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You can then run:
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```shell
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langchain template serve
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```
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This will spin up endpoints, documentation, and playground for this chain.
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For example, you can access the playground at [http://127.0.0.1:8000/playground/](http://127.0.0.1:8000/playground/)
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