65 lines
2.0 KiB
Plaintext
65 lines
2.0 KiB
Plaintext
---
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title: Run Letta with pip
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slug: guides/server/pip
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---
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<Warning>
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**Warning: database migrations are not officially support with `SQLite`!**
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When you install Letta with `pip`, the default database backend is `SQLite` (you can still use an external `postgres` service with your `pip` install of Letta by setting `LETTA_PG_URI`).
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We do not officially support migrations between Letta versions with `SQLite` backends, only `postgres`.
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If you would like to keep your agent data across multiple Letta versions we highly recommend using the [Docker install method](/server/docker) which is the easiest way to use `postgres` with Letta.
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</Warning>
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## Installing and Running the Letta Server
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When using Letta via [Docker](/guides/server/docker) you don't need to install Letta, instead you simply download the Docker image (done automatically for you when you run `docker run`).
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When using Letta via `pip`, running the Letta server requires you first install Letta (via `pip install`).
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After installing, you can then run the Letta server with the `letta server` command.
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<Steps>
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<Step title="Install using pip">
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To install Letta using `pip`, run:
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```
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pip install -U letta
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```
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</Step>
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<Step title="Configure model providers">
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Set environment variables to enable model providers, e.g. OpenAI:
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```sh
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# To use OpenAI
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export OPENAI_API_KEY=...
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# To use Anthropic
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export ANTHROPIC_API_KEY=...
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# To use with Ollama
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export OLLAMA_BASE_URL=...
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# To use with Google AI
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export GEMINI_API_KEY=...
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# To use with Azure
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export AZURE_API_KEY=...
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export AZURE_BASE_URL=...
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# To use with vLLM
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export VLLM_API_BASE=...
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```
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If you have a PostgreSQL instance running, you can set the `LETTA_PG_URI` environment variable to connect to it:
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```bash
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export LETTA_PG_URI=...
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```
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</Step>
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<Step title="Run the Letta server">
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To run the Letta server, run:
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```bash
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letta server
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```
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You can now access the Letta server at `http://localhost:8283`.
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</Step>
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</Steps>
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