Claude
b4041f6892
Remove the obsolete dashboard now that Langfuse is the analytics surface.\nIntroduce focused transport, model, and configuration modules while preserving the ai_review facade, and document the current runtime architecture.
37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
"""Model-provider adapter for the legacy Anthropic-compatible endpoint."""
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from __future__ import annotations
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import json
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try: # Works both as `python pilot/ai_review.py` and `import pilot.model_client`.
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from .gitea_client import request
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except ImportError: # pragma: no cover - script-style runtime
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from gitea_client import request
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def parse_text_blocks(content: object) -> str:
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"""Return only text blocks from an Anthropic-style response."""
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if not isinstance(content, list):
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return ""
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return "\n".join(
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block["text"]
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for block in content
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if isinstance(block, dict)
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and block.get("type") == "text"
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and isinstance(block.get("text"), str)
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).strip()
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def complete(base_url: str, model: str, system: str, user: str, max_tokens: int) -> str:
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payload = {
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"model": model,
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"max_tokens": max_tokens,
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"system": system,
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"messages": [{"role": "user", "content": user}],
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}
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status, raw = request("POST", f"{base_url.rstrip('/')}/v1/messages", "ollama", payload)
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if status != 200:
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detail = raw[:500].decode("utf-8", errors="replace")
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raise RuntimeError(f"model call failed: HTTP {status}: {detail}")
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return parse_text_blocks(json.loads(raw).get("content", []))
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