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docs: describe how a DeepSeek round goes back

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The DeepSeek bullet says the chat client stamps every assistant round with the
`reasoning_content` thinking mode demands, and the `responses_bridge` bullet
says a round's calls stay contiguous ahead of their outputs and that a round
which kept no chain-of-thought sends a blank line.
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worldmozara
2026-10-06 23:23:30 +08:00
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@@ -52,7 +52,7 @@ lmproto/deepseek/anthropic/ ← DeepSeek Anthropic client (extends Anthropic
- **`openai/client.py`** — platform `OpenAIClient` (`kind="responses"`): chat completions + `responses` / `get_response` / `delete_response`. - **`openai/client.py`** — platform `OpenAIClient` (`kind="responses"`): chat completions + `responses` / `get_response` / `delete_response`.
- **`anthropic/model.py`** — Anthropic Messages request/response + SSE event models. - **`anthropic/model.py`** — Anthropic Messages request/response + SSE event models.
- **`anthropic/client.py`** — `AnthropicClient` (`kind="messages"`): `POST /messages` + `GET /models`. - **`anthropic/client.py`** — `AnthropicClient` (`kind="messages"`): `POST /messages` + `GET /models`.
- **DeepSeek** — `DeepseekOpenAIClient` (`kind="chat_completions"`); models add `reasoning_content`, `prefix`, `ThinkingOptions`, and it injects the `thinking` flag (`enabled`, or `disabled` for `reasoning_effort = "none"`) after encoding. Config default model ids: `deepseek-flash`, `deepseek-v4-pro`. `DeepseekResponsesClient` (`kind="responses"`) extends the OpenAI Responses client for `convention = "responses"` (SSE stops at terminal events — DeepSeek sends no `[DONE]`). `DeepseekAnthropicClient` (`kind="messages"`) extends `AnthropicClient` for `convention = "anthropic"` (base `https://api.deepseek.com/anthropic`; `models()` returns `[]`). - **DeepSeek** — `DeepseekOpenAIClient` (`kind="chat_completions"`); models add `reasoning_content`, `prefix`, `ThinkingOptions`, and it injects the `thinking` flag (`enabled`, or `disabled` for `reasoning_effort = "none"`) after encoding, plus an empty `reasoning_content` on any assistant message that carries none (thinking mode refuses any round — a call or a plain answer — whose reasoning never came back). Config default model ids: `deepseek-flash`, `deepseek-v4-pro`. `DeepseekResponsesClient` (`kind="responses"`) extends the OpenAI Responses client for `convention = "responses"` (SSE stops at terminal events — DeepSeek sends no `[DONE]`). `DeepseekAnthropicClient` (`kind="messages"`) extends `AnthropicClient` for `convention = "anthropic"` (base `https://api.deepseek.com/anthropic`; `models()` returns `[]`).
### Config (`config/`) ### Config (`config/`)
@@ -77,7 +77,7 @@ Async SQLAlchemy + aiosqlite. `MemoryStore`: schema init (+ lightweight SQLite `
### Agent (`agent/`) ### Agent (`agent/`)
- **Kind-based dispatch**: clients expose `kind` (`chat_completions` | `responses` | `messages`). Agent history stays chat-completions-shaped; transport adapters return synthetic `ChatCompletionResponse` / stream chunks. - **Kind-based dispatch**: clients expose `kind` (`chat_completions` | `responses` | `messages`). Agent history stays chat-completions-shaped; transport adapters return synthetic `ChatCompletionResponse` / stream chunks.
- **`responses_bridge` / `responses_dispatch`**: chat ↔ OpenAI Responses; stream text/reasoning deltas; tool calls + usage on `response.completed`. - **`responses_bridge` / `responses_dispatch`**: chat ↔ OpenAI Responses; stream text/reasoning deltas; tool calls + usage on `response.completed`; a request carrying `tools` returns every round's reasoning as a `reasoning` item of `reasoning_text` parts — "必须完整回传 `reasoning_content` … 即使该轮模型未实际进行工具调用" (a missing item and an empty part are both a 400, so a round that kept none sends a blank line) — and a round's `function_call` items stay contiguous ahead of their outputs (`call, output, call, output` was a 400: the second call reads as a round of its own without reasoning); reasoning is read back from the item's `content` parts.
- **`messages_bridge` / `messages_dispatch`**: chat ↔ Anthropic Messages; system fold; tool_use/tool_result; stream text + tool argument fragments; `thinking` from the request's `reasoning_effort` (level → token budget, floor 1024, `max_tokens` grown when the budget would leave no room) plus the client's configured `thinking_budget_tokens`. - **`messages_bridge` / `messages_dispatch`**: chat ↔ Anthropic Messages; system fold; tool_use/tool_result; stream text + tool argument fragments; `thinking` from the request's `reasoning_effort` (level → token budget, floor 1024, `max_tokens` grown when the budget would leave no room) plus the client's configured `thinking_budget_tokens`.
- **Provider-side tools**: `OpenAIProvider.provider_tools` (list of dicts; default `[{type="web_search"}]` when omitted; `[]` disables) threaded via `ChatAgent`/`run_chat_loop` into Responses only; never executed by `ToolRegistry`. - **Provider-side tools**: `OpenAIProvider.provider_tools` (list of dicts; default `[{type="web_search"}]` when omitted; `[]` disables) threaded via `ChatAgent`/`run_chat_loop` into Responses only; never executed by `ToolRegistry`.
- **`@tool` / `ToolRegistry`**: decorator infers JSON Schema from type hints; execute tools by name. Before running, `execute` answers a call that omits a required argument with the accepted names (`_missing_required_error`) — the handler's bare `TypeError` never reaches the model, and no confirm prompt fires for a call that cannot run. Shape mistakes inside a *present* argument are the tool's own job (see the `chat` bullet). - **`@tool` / `ToolRegistry`**: decorator infers JSON Schema from type hints; execute tools by name. Before running, `execute` answers a call that omits a required argument with the accepted names (`_missing_required_error`) — the handler's bare `TypeError` never reaches the model, and no confirm prompt fires for a call that cannot run. Shape mistakes inside a *present* argument are the tool's own job (see the `chat` bullet).