KosmoKrator

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Chroma CLI for CI

Use the Chroma CLI for CI with headless JSON commands, schema discovery, credentials, and permission controls.

7 functions 5 read 2 write API key auth

Chroma CLI for CI

Run integration calls from CI jobs with JSON output, explicit credentials, and predictable exit status.

Use this shape when a pipeline needs to read or update an external service. The Chroma CLI uses the same integration registry as the TUI, Lua runtime, and MCP gateway, but returns predictable command output for automation.

Command Shape

# Chroma CLI for CI
kosmokrator integrations:configure chroma --set api_key="$CHROMA_API_KEY" --enable --read allow --write ask --json
kosmo integrations:call chroma.chroma_list_collections '{"limit":1,"after":"example_after"}' --json

Discovery Before Execution

Agents and scripts can inspect Chroma docs and schemas before choosing a function.

kosmo integrations:docs chroma --json
kosmo integrations:docs chroma.chroma_list_collections --json
kosmo integrations:schema chroma.chroma_list_collections --json
kosmo integrations:search "Chroma" --json
kosmo integrations:list --json

Useful Chroma CLI Functions

FunctionTypeParametersDescription
chroma.chroma_list_collections Read limit, after List all vector collections in Chroma. Returns collection names and IDs that can be used for further operations.
chroma.chroma_get_collection Read collection_id Get details of a specific Chroma collection by its name or UUID, including metadata and document count.
chroma.chroma_create_collection Write name, description, metadata Create a new vector collection in Chroma. Collections are used to store and query document embeddings.
chroma.chroma_add_documents Write collection_id, ids, embeddings, documents, metadatas Add documents with embeddings to a Chroma collection. Each document requires an ID and either embeddings or text content.
chroma.chroma_query_documents Read collection_id, query_embeddings, query_texts, n_results, where, where_document, include Search for similar documents in a Chroma collection using query embeddings or text. Returns the most similar documents ranked by distance.
chroma.chroma_get_document Read collection_id, ids, where, where_document, include, limit, offset Retrieve specific documents from a Chroma collection by their IDs. Returns the full documents including text, embeddings, and metadata.
chroma.chroma_get_health Read none Check the health status of the Chroma vector database server. Returns heartbeat and version information.

Automation Notes

Related Chroma CLI Pages