deepagents-gigachat

name	deepagents-gigachat
description	Uses the public deepagents-gigachat HarnessProfile package to run Deep Agents or deepagents-code with GigaChat-specific prompts, tool descriptions, and middleware. Use when building Deep Agents workflows on top of GigaChat or when configuring model/provider profiles for deepagents.

Deep Agents GigaChat

Use this skill when the user is running deepagents, deepagents-code, or a Deep Agents app with GigaChat models.

What this skill covers

• installing deepagents-gigachat into the same environment as Deep Agents
• automatic harness profile discovery through deepagents.harness_profiles
• provider keys gigachat and giga
• deepagents-code model configuration for langchain-gigachat
• profile behavior: prompt replacement, tool-description overrides, and think middleware
• benchmark and filesystem/backend caveats

Workflow

1. Confirm the user is working with Deep Agents. If not, use gigachat-navigation first.
2. Configure ordinary GigaChat credentials through gigachat-setup / langchain-gigachat conventions.
3. Install deepagents-gigachat in the same Python environment as deepagents or deepagents-code.
4. Let the profile auto-register; do not duplicate the profile in application code unless debugging discovery.
5. For deepagents-code, configure provider/model entries under ~/.deepagents/config.toml.
6. Treat the profile API as beta and keep backend/path assumptions explicit.
7. Use benchmark numbers as upstream evidence, not as local verification.

Read these references as needed

• For install and configuration: references/setup.md
• For what the profile changes: references/profile-behavior.md
• For benchmark evidence and caveats: references/benchmarks-and-caveats.md

Default output

• state that this is a Deep Agents harness-profile path, not raw SDK usage
• show the smallest install/config snippet that matches the user's runtime
• call out Python/version/backend caveats before promising behavior
• route non-Deep-Agents GigaChat work back to gigachat-sdk-*, langchain-gigachat, or gpt2giga

Boundaries

• Do not use this skill for ordinary LangChain chains or RAG; use langchain-gigachat.
• Do not use this skill for OpenAI/Anthropic-compatible proxy work; use gpt2giga.
• Do not claim benchmark improvements are locally reproduced unless the benchmark was actually run.