6cb499c3a891251f3e36481079fffdec8e903b9dea782f10c74775dd903f1ff2
active
contextual
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The PYRANA_PLATFORM example defines a platform specification in which PyranaHarness uses LiteLLM for native tool calling, starts with a Turn 0 plan, iterates through tool-calling loops, and ends by finalizing an AgentOutputEnvelope.

Supporting contexts

Quoteverbatim

"The PyranaHarness implements native LLM tool calling via LiteLLM, executing a Turn 0 plan followed by iterative tool calling loops until the agent finalizes an AgentOutputEnvelope"

PYRANA_Internal_Knowledge_Graph_Specification.md

Quoteverbatim

"PyranaHarness (pyrana_services/orchestration/harness/pyrana_harness.py) which implements native tool calling via LiteLLM"

PYRANA_Internal_Knowledge_Graph_Specification.md

Quoteverbatim

"Turn 0: create initial plan via LLM"

PYRANA_Internal_Knowledge_Graph_Specification.md

Quoteverbatim

"Native tool calling loop: LLM emits tool_calls → execute tools → observe → repeat"

PYRANA_Internal_Knowledge_Graph_Specification.md

Quoteverbatim

"Finalize: build and persist AgentOutputEnvelope"

PYRANA_Internal_Knowledge_Graph_Specification.md

Effective from: 7/16/2026, 11:18:23 PM

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