Agent-o-rama 0.5.0
Installation
To install, add the following dependency to your project or build file:
[com.rpl/agent-o-rama "0.5.0"]
Namespaces
com.rpl.agent-o-rama
Public variables and functions:
- add-dataset-example!
- add-dataset-example-async!
- add-dataset-example-tag!
- agent-client
- agent-fork
- agent-fork-async
- agent-initiate
- agent-initiate-async
- agent-initiate-fork
- agent-initiate-fork-async
- agent-initiate-with-context
- agent-initiate-with-context-async
- agent-invoke
- agent-invoke-async
- agent-invoke-complete?
- agent-invoke-with-context
- agent-invoke-with-context-async
- agent-manager
- agent-names
- agent-next-step
- agent-next-step-async
- agent-result
- agent-result-async
- agent-stream
- agent-stream-all
- agent-stream-reset-info
- agent-stream-specific
- agent-topology
- agentmodule
- agg-node
- agg-start-node
- create-dataset!
- create-evaluator!
- declare-action-builder
- declare-agent-object
- declare-agent-object-builder
- declare-cluster-agent
- declare-comparative-evaluator-builder
- declare-document-store
- declare-evaluator-builder
- declare-key-value-store
- declare-pstate-store
- declare-summary-evaluator-builder
- defagentmodule
- define-agents!
- destroy-dataset!
- emit!
- get-agent-object
- get-human-input
- get-metadata
- get-store
- human-input-request?
- mk-example-run
- multi-agg
- new-agent
- node
- pending-human-inputs
- pending-human-inputs-async
- provide-human-input
- provide-human-input-async
- record-nested-op!
- remove-dataset-example!
- remove-dataset-example-tag!
- remove-dataset-snapshot!
- remove-evaluator!
- remove-metadata!
- result!
- search-datasets
- search-evaluators
- set-dataset-description!
- set-dataset-example-input!
- set-dataset-example-reference-output!
- set-dataset-name!
- set-metadata!
- set-update-mode
- setup-object-name
- snapshot-dataset!
- start-ui
- stop-ui
- stream-chunk!
- try-comparative-evaluator
- try-evaluator
- try-summary-evaluator
- underlying-stream-topology
com.rpl.agent-o-rama.langchain4j
Convenience functions for working with LangChain4j model APIs in agent nodes.
Public variables and functions:
com.rpl.agent-o-rama.langchain4j.json
JSON schema builders for LangChain4j structured outputs and tool specifications.
com.rpl.agent-o-rama.store
Store API for accessing persistent storage within agent nodes.
Public variables and functions:
com.rpl.agent-o-rama.throttled-logging
Throttled logging utilities.
com.rpl.agent-o-rama.tools
Tools integration for AI agents using LangChain4j tool specifications.