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Vector memory revamp (part 1: refactoring) (#4208)

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Additional changes:

* Improve typing

* Modularize message history memory & fix/refactor lots of things

* Fix summarization

* Move memory relevance calculation to MemoryItem & improve test

* Fix import warnings in web_selenium.py

* Remove `memory_add` ghost command

* Implement overlap in `split_text`

* Move memory tests into subdirectory

* Remove deprecated `get_ada_embedding()` and helpers

* Fix used token calculation in `chat_with_ai`

* Replace Message TypedDict by dataclass

* Fix AgentManager singleton issues in tests

---------

Co-authored-by: Auto-GPT-Bot <github-bot@agpt.co>
This commit is contained in:
Reinier van der Leer
2023-05-25 20:31:11 +02:00
committed by GitHub
parent 10489e0df2
commit bfbe613960
92 changed files with 7282 additions and 7989 deletions
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6
docs/challenges/building_challenges.md
View File

@@ -33,7 +33,7 @@ Create your agent fixture.
```python
def kubernetes_agent(
agent_test_config, memory_local_cache, workspace: Workspace
agent_test_config, memory_json_file, workspace: Workspace
):
# Please choose the commands your agent will need to beat the challenges, the full list is available in the main.py
# (we 're working on a better way to design this, for now you have to look at main.py)
@@ -56,7 +56,7 @@ def kubernetes_agent(
agent = Agent(
# We also give the AI a name
ai_name="Kubernetes-Demo",
memory=memory_local_cache,
memory=memory_json_file,
full_message_history=[],
command_registry=command_registry,
config=ai_config,
@@ -131,5 +131,3 @@ def test_information_retrieval_challenge_a(kubernetes_agent, monkeypatch) -> Non
```

8
docs/configuration/memory.md
View File

@@ -1,3 +1,9 @@
!!! warning
The Pinecone, Milvus and Weaviate memory backends were rendered incompatible
by work on the memory system, and have been removed in `master`.
Whether support will be added back in the future is subject to discussion,
feel free to pitch in: https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280
## Setting Your Cache Type
By default, Auto-GPT set up with Docker Compose will use Redis as its memory backend.
@@ -6,7 +12,7 @@ Otherwise, the default is LocalCache (which stores memory in a JSON file).
To switch to a different backend, change the `MEMORY_BACKEND` in `.env`
to the value that you want:
* `local` uses a local JSON cache file
* `json_file` uses a local JSON cache file
* `pinecone` uses the Pinecone.io account you configured in your ENV settings
* `redis` will use the redis cache that you configured
* `milvus` will use the milvus cache that you configured