mirror of
https://github.com/langchain-ai/deepagents.git
synced 2026-08-27 02:41:20 -04:00
Mason Daugherty
550a8abf3c
Resumed threads now carry the model they last used, so `dcode -r` can continue the conversation with the same provider/model instead of silently falling back to the current default. Explicit `--model` selections still take precedence, and resume-driven switches stay session-only so they do not rewrite the user's saved model preferences.
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
"""Lightweight runtime context type for app model overrides.
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Extracted from `configurable_model` so hot-path modules (`app`,
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`textual_adapter`) can import `CLIContext` without pulling in the langchain
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middleware stack.
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"""
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from __future__ import annotations
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from typing import Any
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from typing_extensions import TypedDict
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class CLIContext(TypedDict, total=False):
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"""Runtime context passed via `context=` to the LangGraph graph.
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Carries per-invocation overrides that `ConfigurableModelMiddleware`
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reads from `request.runtime.context`.
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"""
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model: str | None
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"""Model spec to swap at runtime (e.g. `'provider:model'`)."""
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model_params: dict[str, Any]
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"""Invocation params (e.g. `temperature`, `max_tokens`) to merge
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into `model_settings`."""
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effective_model: str | None
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"""Resolved `provider:model` spec actually in use for this invocation.
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Unlike `model` (a swap *instruction* that is `None` when the base model is
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used), this carries the model in effect — whether from a `/model` override
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or the startup default — so `ResumeStateMiddleware` can record it to
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checkpoint state for restore on resume. `None` when no usable spec is
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resolved yet (e.g. credentials not configured), in which case nothing is
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recorded rather than a malformed spec.
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"""
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