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89e01ac138
* docs: complete node editor node reference glossary (#107) - generated by new nodes.tools glossary subcommand, 47 categorized pages covering all 403 nodes, docstring gap fixes, help-agent docs-index entries * docs: fix Jinja2 Format discoverability - document dynamic-input template variables, move node to string page, link key inference from dynamic-input notes, strip links from index summaries * help agent: keep node reference out of the chat prompt - collapse glossary entries to one pointer line (~19k chars saved), agent retrieves node info via search_docs/read_doc tool calls * help agent: replace in-prompt docs index with find_docs lookup tool - prompt carries a 13-line section overview (~1.5k chars vs ~66k), pages located via keyword-scored find_docs at runtime * changelog: help agent prompt slimming + find_docs lookup * docs: sort node reference index and nav alphabetically by page title * review: move module constants into top-of-file constant blocks (glossary MAX_DEFAULT_LENGTH; docs SECTION_DESCRIPTIONS, _FIND_STOPWORDS, FIND_DOCS_LIMIT) * review: word-boundary find_docs scoring with plural/-ing folds, find_docs+section_overview unit tests, jinja2 template field description override * docs: help agent overview no longer claims an in-prompt index of all documentation pages * docs: full node docstring audit pass - 335 classes audited by 5 agents, ~89 accuracy fixes (nonexistent/misnamed sockets, wrong behavior claims), ~94 expansions, 5 factually-wrong PropertyField descriptions corrected, glossary regenerated
2.5 KiB
2.5 KiB
Memory Agent Nodes
Query the long-term memory database (RAG) and unpack the returned memory documents.
2 nodes.
| Node | Registry path |
|---|---|
| Query Context DB | agents/memory/QueryContextDB |
| Unpack Memory Document | agents/memory/UnpackMemoryDocument |
Query Context DB
agents/memory/QueryContextDB
Queries the memory agent's context database with one or more queries and collects the matching documents, up to a total token budget.
Inputs
| Input | Type | Description |
|---|---|---|
state |
any |
The graph state |
queries |
list,str |
(optional) The queries to run (list, or a single query string) |
meta_filters |
dict |
Metadata filters to constrain the results (optional) |
max_tokens |
int |
The maximum total tokens of results to return (optional) |
fn_filter |
function |
Function that receives a result and returns whether to keep it (optional) |
fn_formatter |
function |
Function that receives a result and returns its formatted replacement (optional) |
Outputs
| Output | Type | Description |
|---|---|---|
state |
any |
The state input, passed through |
results |
list |
The list of matching documents |
Properties
| Property | Type | Default | Description |
|---|---|---|---|
queries |
list |
[] |
The queries to use to query the context database |
meta_filters |
dict |
{} |
The meta filters to apply to the results |
max_tokens |
int |
1024 |
The maximum number of tokens to return |
limit |
int |
10 |
The number of N best results to consider per query |
iterate |
int |
3 |
The number of results to return per query |
Unpack Memory Document
agents/memory/UnpackMemoryDocument
Unpacks a memory document into its individual fields.
Inputs
| Input | Type | Description |
|---|---|---|
document |
memory/document |
The memory document to unpack |
Outputs
| Output | Type | Description |
|---|---|---|
document |
memory/document |
The memory document, passed through |
meta |
dict |
The document's metadata dict |
id |
str |
The document's ID in the memory database |
raw |
dict |
The document's raw content |
as_text |
str |
The document rendered as text |
as_dict |
dict |
The document as a dict |
context_id |
context_id |
The document's context ID |