Skip to main content

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

Project description

gosce-llm-orchestration-agent-langgraph

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

Thin client for the LLM Orchestration Agent (Langgraph) remote agent on getvda.ai — speaks open MCP (streamable-http) and A2A. Discovery is free; execution is metered via Nevermined x402.

import gosce_llm_orchestration_agent_langgraph
print(gosce_llm_orchestration_agent_langgraph.MCP_ENDPOINT)  # https://langchain-core-langgraph-mcp-280d80.getvda.ai/mcp

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file gosce_llm_orchestration_agent_langgraph-0.1.0.tar.gz.

File metadata

File hashes

Hashes for gosce_llm_orchestration_agent_langgraph-0.1.0.tar.gz
Algorithm Hash digest
SHA256 dbde74b81acf5b668cf6b63154dfff5b7f3f64b222a390f4dc61dd1c0c150f9e
MD5 4431823c324766bb5fc00515aaa568cb
BLAKE2b-256 4c73b41b3538b68d8c5ae28dbb5717c3d297e7373d438493e430fe68ac22d1b2

See more details on using hashes here.

File details

Details for the file gosce_llm_orchestration_agent_langgraph-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for gosce_llm_orchestration_agent_langgraph-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d4d13d093e8d253ccb2631e93ba9c75f3da731f957d0147d5f3a84ddd5d60c2a
MD5 680147341848aebee2736df234395976
BLAKE2b-256 d0061b71e1301f178293a24659747965221d25243efeac0a8d7753f8792a5585

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page