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(wip) docs: revamp conceptual docs (#1663)

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* docs: revamp conceptual docs

* multi-agent draft

* typo

* Update Why LangGraph page

* update multi-agent

* Update persistence page

* update

* Clarification of graph re-playing

* update persistence

* more updates

* more updates

* Add multiple schemas section to glossary

* more updates

* Clarify I/O schema

* dynamic breakpoints

* Update agentic concepts

* Fix comments

* Update figureds

* cr

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---------

Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Vadym Barda
2024-09-16 17:35:01 -07:00
committed by GitHub
co-authored by Lance Martin Harrison Chase
parent 182dcea526
commit f8ba4c3b7d
28 changed files with 780 additions and 471 deletions
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docs/docs/cloud/concepts/api.md
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# API Concepts
This page describes the high-level concepts of the LangGraph Cloud API. The conceptual guide of LangGraph (Python library) is [here](../../concepts/index.md).
This page describes the high-level concepts of the LangGraph Cloud API. The conceptual guide of LangGraph (Python library) is [here](../../concepts/high_level.md).
## Data Models
@@ -22,7 +22,7 @@ A thread contains the accumulated state of a group of runs. If a run is executed
The state of a thread at a particular point in time is called a checkpoint.
For more on threads and checkpoints, see this section of the [LangGraph conceptual guide](../../concepts/low_level.md#checkpointer).
For more on threads and checkpoints, see this section of the [LangGraph conceptual guide](../../concepts/low_level.md#persistence).
The LangGraph Cloud API provides several endpoints for creating and managing threads and thread state. See the [API reference](../reference/api/api_ref.html#tag/threadscreate) for more details.
docs/docs/cloud/quick_start.md
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|-- langgraph.json # configuration file for LangGraph
|-- .env # environment files with API keys
2. The `agent.py`/`agent.ts` file should contain code for defining your graph. The following code is a simple example, the important thing is that at some point in your file you compile your graph and assign the compiled graph to a variable (in this case the `graph` variable). This example code uses `create_react_agent`, a prebuilt agent. You can read more about it [here](../concepts/agentic_concepts.md#react-agent).
2. The `agent.py`/`agent.ts` file should contain code for defining your graph. The following code is a simple example, the important thing is that at some point in your file you compile your graph and assign the compiled graph to a variable (in this case the `graph` variable). This example code uses `create_react_agent`, a prebuilt agent. You can read more about it [here](../concepts/agentic_concepts.md#react-implementation).
=== "Python"