halo-format-claude 0.3.0

Halo adapter for Claude on two runtimes (Python): the Agent SDK (install_halo — a PostToolUse encode hook + a single in-process halo_fetch MCP tool) and the raw Messages API (halo_format_claude.raw — create_raw_halo, no Agent SDK needed). Tool results become a shape map kept out of context.

halo-format-claude

Halo adapter for Claude on two runtimes (Python): the Claude Agent SDK and the raw Claude Messages API. Same engine — encode a large tool result, hand the model a shape map, let it pull back only the leaves it needs, verified on read — bound to whichever loop you run.

Agent SDK — install_halo()

install_halo() wires the adapter in one call (install the Agent SDK extra: pip install halo-format-claude[agent-sdk]):

• a PostToolUse encode hook that replaces a large tool result with a halo shape map (root kind + one line per field: ref, kind, and a bounded preview), so the payload stays out of the model's context while it still sees what's there;
• a single in-process halo_fetch MCP tool the model uses to pull back only the leaves it needs, verified on read — a ref that lands on a branch returns that branch's sub-refs, so one batch API both pulls and expands (there is no separate halo_walk).

from claude_agent_sdk import ClaudeAgentOptions, query
from halo_format_claude import install_halo

result = install_halo(ClaudeAgentOptions(...))
# pass result.options to query(); result.session holds the shared store for audit/inspection

The encode hook is deterministic plumbing (it always fires, even for built-in tools); the Halo Skill is the navigation guidance. Pass store=FileStore(dir) for the heavy/persistent deployment.

Raw Messages API — halo_format_claude.raw

No hook exists on the raw API — you own the tool-use loop on messages.create(...). create_raw_halo() gives you the same mechanism to drive by hand. This submodule imports zero Agent SDK code (the package imports the SDK lazily), so pip install halo-format-claude without the agent-sdk extra is enough for the raw path. This is the runtime where Halo's token win is largest: the raw API re-sends every tool result in context each turn, so keeping a heavy payload out of context is a real, growing saving.

import json
from anthropic import Anthropic
from halo_format_claude.raw import create_raw_halo

halo = create_raw_halo(threshold=2048)
tools = [*domain_tools, halo.tool_def]          # add the halo_fetch tool
system = SYSTEM_PROMPT + halo.guidance          # add the navigation guidance

# inside your loop, per tool_use block:
async def run_tool(name, args):
    if halo.is_fetch(name):
        return halo.fetch(args["refs"])          # verified leaves; never re-encode
    result = await dispatch[name](**args)
    return halo.encode_result(name, args, result)  # shape map if large, else passthrough

encode_result size-gates (shape map above the threshold, raw JSON below); fetch returns the verified per-ref results as a JSON string for the tool_result content. The core engine is halo-format; this package is only the shim that binds it to the two Claude runtimes.