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39c46ef6be
- feat(agent/core): Add `AnthropicProvider`
- Add `ANTHROPIC_API_KEY` to .env.template and docs
Notable differences in logic compared to `OpenAIProvider`:
- Merges subsequent user messages in `AnthropicProvider._get_chat_completion_args`
- Merges and extracts all system messages into `system` parameter in `AnthropicProvider._get_chat_completion_args`
- Supports prefill; merges prefill content (if any) into generated response
- Prompt changes to improve compatibility with `AnthropicProvider`
Anthropic has a slightly different API compared to OpenAI, and has much stricter input validation. E.g. Anthropic only supports a single `system` prompt, where OpenAI allows multiple `system` messages. Anthropic also forbids sequences of multiple `user` or `assistant` messages and requires that messages alternate between roles.
- Move response format instruction from separate message into main system prompt
- Fix clock message format
- Add pre-fill to `OneShot` generated prompt
- refactor(agent/core): Tweak `model_providers.schema`
- Simplify `ModelProviderUsage`
- Remove attribute `total_tokens` as it is always equal to `prompt_tokens + completion_tokens`
- Modify signature of `update_usage(..)`; no longer requires a full `ModelResponse` object as input
- Improve `ModelProviderBudget`
- Change type of attribute `usage` to `defaultdict[str, ModelProviderUsage]` -> allow per-model usage tracking
- Modify signature of `update_usage_and_cost(..)`; no longer requires a full `ModelResponse` object as input
- Allow `ModelProviderBudget` zero-argument instantiation
- Fix type of `AssistantChatMessage.role` to match `ChatMessage.role` (str -> `ChatMessage.Role`)
- Add shared attributes and constructor to `ModelProvider` base class
- Add `max_output_tokens` parameter to `create_chat_completion` interface
- Add pre-filling as a global feature
- Add `prefill_response` field to `ChatPrompt` model
- Add `prefill_response` parameter to `create_chat_completion` interface
- Add `ChatModelProvider.get_available_models()` and remove `ApiManager`
- Remove unused `OpenAIChatParser` typedef in openai.py
- Remove redundant `budget` attribute definition on `OpenAISettings`
- Remove unnecessary `usage` in `OpenAIProvider` > `default_settings` > `budget`
- feat(agent): Allow use of any available LLM provider through `MultiProvider`
- Add `MultiProvider` (`model_providers.multi`)
- Replace all references to / uses of `OpenAIProvider` with `MultiProvider`
- Change type of `Config.smart_llm` and `Config.fast_llm` from `str` to `ModelName`
- feat(agent/core): Validate function call arguments in `create_chat_completion`
- Add `validate_call` method to `CompletionModelFunction` in `model_providers.schema`
- Add `validate_tool_calls` utility function in `model_providers.utils`
- Add tool call validation step to `create_chat_completion` in `OpenAIProvider` and `AnthropicProvider`
- Remove (now redundant) command argument validation logic in agent.py and models/command.py
- refactor(agent): Rename `get_openai_command_specs` to `function_specs_from_commands`