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https://github.com/Alishahryar1/free-claude-code.git
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e719e4aed2
## Summary * add native DeepSeek provider support via the shared OpenAI-compatible provider base * allow `deepseek/...` model prefixes in config validation * add `DEEPSEEK_API_KEY` and `DEEPSEEK_BASE_URL` settings * add DeepSeek entries to `.env.example` and `config/env.example` * implement `DeepSeekProvider` and register it in provider dependencies * add a DeepSeek request builder with DeepSeek-specific thinking payload handling * preserve Anthropic thinking blocks as `reasoning_content` for DeepSeek-compatible continuation flows * update `claude-pick` to discover DeepSeek models from the DeepSeek API * document DeepSeek usage in `README.md` * add tests for config validation, provider dependency wiring, request building, and streaming behavior ## Motivation DeepSeek exposes an OpenAI-compatible API and can be used directly without routing through OpenRouter. This lets users spend their existing DeepSeek balance through the proxy while keeping the same Claude Code workflow and per-model provider mapping. ## Example ```dotenv DEEPSEEK_API_KEY="sk-..." DEEPSEEK_BASE_URL="https://api.deepseek.com" MODEL_OPUS="deepseek/deepseek-reasoner" MODEL_SONNET="deepseek/deepseek-chat" MODEL_HAIKU="deepseek/deepseek-chat" MODEL="deepseek/deepseek-chat" --------- Co-authored-by: Alishahryar1 <alishahryar2@gmail.com>
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
"""Request builder for DeepSeek provider."""
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from typing import Any
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from loguru import logger
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from providers.common.message_converter import build_base_request_body
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def build_request_body(request_data: Any, *, thinking_enabled: bool) -> dict:
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"""Build OpenAI-format request body from Anthropic request for DeepSeek."""
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logger.debug(
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"DEEPSEEK_REQUEST: conversion start model={} msgs={}",
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getattr(request_data, "model", "?"),
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len(getattr(request_data, "messages", [])),
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)
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body = build_base_request_body(
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request_data,
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include_reasoning_content=True,
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)
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extra_body: dict[str, Any] = {}
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request_extra = getattr(request_data, "extra_body", None)
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if request_extra:
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extra_body.update(request_extra)
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if thinking_enabled and body.get("model") != "deepseek-reasoner":
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extra_body.setdefault("thinking", {"type": "enabled"})
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if extra_body:
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body["extra_body"] = extra_body
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logger.debug(
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"DEEPSEEK_REQUEST: conversion done model={} msgs={} tools={}",
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body.get("model"),
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len(body.get("messages", [])),
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len(body.get("tools", [])),
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)
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return body
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